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1
Tian, Yu. "Design of Remote Intelligent Meter Reading System." Advanced Materials Research 971-973 (June 2014): 1183–86. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1183.
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This paper discusses the design of a remote intelligent meter reading system, remote intelligent meter reading system by automatic meter data and remote transmission of the way, can solve the problem of the household metering, with automatic meter reading, automatic charging, prepaid management, arrears cut function. The design solves the inaccurate measurement and data change two technical problems of smart meter reading system, remote meter reading system is mainly composed of the meter measuring sensor, meter reading collector, bus adapter, water and gas meter measuring signal is converted to electrical signals by meter measurement sensor, carries on two times of measurement through meter reading collector, bus adapter connected all the meter reading acquisition, and then is connected with the computer management, so as to realize the reading meter data "remote" function.
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Huang, He Song, Chuan Wei Yu, Zhen Lin Wang, and Ning Wang. "Research on the Wi-Fi Protocol Intelligent Automatic Meter Reading System." Advanced Materials Research 591-593 (November 2012): 1523–26. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1523.
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In view of the real-time, reliable and efficient requirements in data transmission of the automatic meter reading system, a remote automatic meter reading scheme based on the technology of Wi-Fi is proposed. Wi-Fi (sometimes spelled Wifi or WiFi) is a popular technology that allows an electronic device to exchange data wirelessly (using radio waves) over a computer network, including high-speed Internet connections. Based on the transmission technology of Wi-Fi, this article introduces a remote automatic meter reading system, which takes UART-WiFi module as core and allows the meter connected to the Internet, so as to realize the function of network remote automatic meter reading.
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Iswardhani, Tika, Astrie Kusuma Dewi, and Chalidia Nurin Hamdani. "Development of Solar Panel Monitoring System On Automatic Meter Reading." Jurnal Polimesin 22, no. 1 (2024): 40. http://dx.doi.org/10.30811/jpl.v22i1.4220.
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In dealing with era society 5.0, a gas company uses the Automatic Meter Reading (AMR) system, which is a remote data reading automation technology system for measuring instrument data in the field, which then conveys the information to the center via communication media data. In the Metering/Regulating Station (M/RS) installation, AMR is connected to the Electronic Volume Converter (EVC) which functions to transmit data from measuring instrument readings in the EVC to the data collection server. The modem on the AMR system uses a power supply from the solar panel system during the day and a battery system at night. The system for handling incomplete data disturbances is currently still in corrective action due to the unavailability of a solar panel monitoring system in the AMR system, causing difficulties for the team in conducting root cause analysis due to problems with battery voltage which are unable to cure AMR. To change the operation and maintenance activities of the AMR system, which was previously corrective action into preventive action, the authors will design and build a long-distance integrated solar panel monitoring system at AMR with the following features monitoring temperature, voltage, and current modules of solar panels, monitoring temperature and battery loading, and AMR remote restart function.
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Rahman, Fandisya, Achmad Basuki, and Ismiarta Aknuranda. "Pengambilan Data secara Bergerak pada Automatic Meter Reading Bertopologi Mesh." Jurnal Teknologi Informasi dan Ilmu Komputer 6, no. 1 (2019): 1. http://dx.doi.org/10.25126/jtiik.201961695.
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<p>Proses rekapitulasi informasi mengenai kuantitas pemakaian listrik, air, dan gas dari pelanggan perusahaan penyedia utilitas umumnya tersedia melalui proses pengumpulan data secara berkala. Proses pengumpulan/pencatatan data tersebut dilakukan oleh petugas yang berkunjung ke setiap rumah-rumah pelanggan secara periodik. Banyaknya rumah yang dikunjungi menyebabkan pekerjaan mencatat data menjadi berat dan memungkinkan terjadi kesalahan pencatatan. Data yang tidak akurat berkorelasi terhadap kerugian finansial yang ditanggung perusahaan penyedia utilitas. Berbagai teknologi untuk memudahkan pencatatan seperti (Automatic Meter Reading) AMR telah diterapkan, tetapi masih memiliki permasalahan dalam proses pengiriman data dari perangkat pencatat ke pusat basis data. Penelitian ini mengusulkan pengembangan teknologi AMR dengan menerapkan mekanisme pengambilan data secara bergerak dan nirkabel dengan topologi jaringan mesh. Setiap perangkat AMR diasumsikan sebagai perangkat statis yang terhubung secara topologi jaringan mesh dengan perangkat AMR lain yang saling berdekatan dan dapat bertindak sebagai relay untuk kemudian mengirimkan data ke perangkat pencatat bergerak yang digunakan oleh petugas atau disebut perangkat Mobile Data Gathering(MDG). Perangkat pencatat MDG dapat mengumpulkan data secara bergerak mendekati salah satu perangkat AMR untuk mengumpulkan data dari seluruh perangkat AMR yang saling berdekatan. Kecepatan bergerak perangkat pencatat AMR berpengaruh dalam akurasi pencatatan dan jumlah data yang dapat dikumpulkan. Berdasarkan hasil uji simulasi dapat diketahui bahwa sistem pengumpulan data dengan mekanisme bergerak mampu mengumpulkan data dengan kecepatan terbaik 30 km/jam dengan jumlah data sebanyak 86% dari semua jumlah perangkat AMR.</p><p><em><strong>Abstract</strong></em></p><p><em>Recapitulation process information on the amount of electricity, water and gas from a utility provider of enterprise customers are generally available through periodic data gathering processes. The data gathering process mostly performed by officers who periodically visit each customers' house. The more number of houses to be visited, the heavier the workload for data recording and the recording errors may occur. Inaccurate data correlate with financial losses borne by utilities. Various techniques to facilitate the recording such as Automatic Meter Ready (AMR) have been applied, but the problem during data transmission of data from the recording device to the central database still exists. This research proposes the development of AMR technology by applying the mechanism of wireless data transfer with mesh network topology. Each AMR device is assumed static devices in a network topology connected to other AMR devices side by side and can act as a relay than the data sent to a mobile agent recording device. The AMR wireless recording device can collect data that moves closer to one of the AMR devices to collect data from all neighboring AMR devices. The speed of movement of the AMR recording device affects the accuracy of the recording and the amount of data that can be collected. The evaluation results show that the data gathering system with a movement mechanism suitable for data collection at the best speeds of 30 km/h with the successful data gathering around 86% of all AMR devices</em></p>
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Sai, Yao Zhang, and Ru Jian Ma. "Design of Wireless Automatic Meter Reading System." Advanced Materials Research 225-226 (April 2011): 966–69. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.966.
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Community property management in metering and charging of resource and energy consumption, such as water, electricity and gas charging are a time-consuming, laborious, tedious and monotonous work. It also needs a large amount of computing and the computing requires high accuracy because the dispute will affect the social security easily. The current used meter reading and charging systems for resource and energy consumption of household are analyzed in this paper. The wireless automatic meter reading and charging systems are also discussed. A design scheme is proposed based on short-range wireless meter reading communication technology. The combination of CC1100 radio frequency module and GPRS network is used in the scheme. The system has the characteristics of low in price, simple in structure and good stability.
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Samsurizal, Samsurizal, Faber Agustinus G. Siagian, and Andi Makkulau. "Kajian Dampak Ketidaknormalan Meter Elektronik Pada Sistem Automatic Meter Reading Pada Pelanggan Tegangan Rendah." Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 6, no. 2 (2021): 105. http://dx.doi.org/10.33772/jfe.v6i2.17925.
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PT. PLN (Persero) as an lsitrik energy provider has the task of checking and measuring the use of electricity used by customers. In this case of course requires technology to be able to read how much electrical energy is used, one of the technologies used is Automatic Meter Reading (AMR). The use of Automatic Meter Reading (AMR) system includes monitoring, recording the stand meter then the data can be displayed in the form of a report with data software used management. Electronic meters using AMR systems can be used as a detection tool against irregularities from troubled customers. The readings obtained from AMR are known to the customer's usage, moments before the maintenance error and after. So that it can accurately detect customers who occur maintenance errors and customers and PLN both know the amount of uncollectible kWh, so far the nursing has been impaired by maintenance errors from the beginning of the tide. Based on existing data AMR should not be worth kWh value, but with the error of maintenance in phase S kWh measurable import that will be calculated to obtain a follow-up bill. The result obtained is true there is an inverted phase, it is shown in the fasor diagram where the angle of phase S which was originally 168.30 to 14.40. So that in the stand meter becomes minus the impact due to the mistake of maintenance obtained follow-up bill is 41538.8 kWh equivalent to Rp. 60.949.050,- after calculation. It shows the impact that occurs due to the mismanagement of the follow-up bill that must be borne
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Srividya, R., Velan S. Senthil, and M. C. Murali. "Design & Implementation of GSM based Automatic Meter Reading System." Journal of Advance Research in Mobile Computing 5, no. 1 (2023): 23–29. https://doi.org/10.5281/zenodo.7732757.
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<em>The paper focuses on design and development of an Automated Water inflow reading Meter system, having remote monitoring and controlling capabilities. The Automatic Meter Reading system (AMR) monitors the energy meter uninterruptedly. It sends data to service provider on request through SMS. This data will be stored for further processing by energy provider in server located at electricity Board station. The electricity bill is sent through SMS or by e-mail by the Energy provider. Through this system customers are provided with a convenience of paying bill online. The system gives maximum freedom to initiate action against customers who have outstanding dues. Ccompanies have capability to disconnect the power supply to such customers till the dues are paid. Therefore, this GSM based automated ssystem is more efficient than the convention billing methods and system</em><strong>.</strong>
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Xu, Xiang, San Feng Zhang, Rui Zhang, and Chun Nan Han. "Implementation of ZigBee and Image Picking Based Automatic Meter Reading System." Applied Mechanics and Materials 556-562 (May 2014): 4856–62. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4856.
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Automatic meter reading (AMR) system is known as the communication-based system to read meters. It is an application of smart home with high pertinence and practicability, which can bring on benefits to utility companies (living resources suppliers). The key to designing and implementing an AMR system is communication. Many communication modes have been proposed for AMR system. This paper proposes a ZigBee and Image Picking based Automatic Meter Reading System (ZIP-AMRS) and introduces its implementation in details. As its name suggests, the system uses ZigBee network and image picking technology to collect meter data. Tree routing protocol and end-to-end acknowledge mechanism are adopted to ensure reliable transmission. We installed and verified ZIP-AMRS in an office building, and got the real-time meter picture.
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Yang, Yong Jie, Dong Hua Lv, and Xian Xian Lin. "Automatic Gas Meter Reading System Based on Wireless Sensor Network." Advanced Materials Research 424-425 (January 2012): 1270–73. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.1270.
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In view of the current status and shortcomings of existing meter reading systems, in this paper, we proposed an automatic gas meter reading system based on the advantages of gas meter directly reading technology, WSN technology and GPRS technology, introduced the whole scheme and the design of hardware and software in detail. The system is consist of three level network. The first level network and the second level network use the different frequency during communication. It decreases the interface of each other during the translation of the data, and increase the lifetime of the smart gas meter. The system has the advantages of easy construct, flexible layout, lower power consumption
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Xie, Hao Fei, Qing Hua Chen, and Ping Wang. "Design of Wireless Heat Automatic Reading Meter Monitoring System." Advanced Materials Research 488-489 (March 2012): 1717–21. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1717.
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As the whole world values the energy-saving very highly, a monitoring system, which can monitor the precise heat consumption data and schedule on demand in time, is urgently needed. This paper presents a master station monitoring system of wireless heat automatic reading meter system (named as WiHeat-AMRS). It is mainly used for residential district heat-supply system whose main function is measuring heat, charging for heat, and monitoring the running status of the whole heat system. The master station monitoring system, which was designed and implemented by the author own, consists of two parts: monitoring component and back-end database. The paper focuses on the design of both monitoring component and back-end database structure. The monitoring component collects the data of each heat meter via a wireless gateway, analyzes those data, store in the database, and achieves the automated management of heat system. Meanwhile, the master station monitoring system has been put into service by our cooperative, and has gotten great reviews.
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Claudio, Karim, Vincent Couallier, Cyril Leclerc, Yves Le Gat, and Jérôme Saracco. "Consumption estimation with a partial automatic meter reading deployment." Water Supply 15, no. 1 (2014): 50–58. http://dx.doi.org/10.2166/ws.2014.082.
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Automatic water meter reading (AMR) is now the best kind of technology to supply real time information on water consumption. Complete equipment of a district metered area enables the assessment of the total consumption of a finite size population, for a time scale sometimes as short as an hour. However, its cost for generalization can generate high capital expenditures (CAPEX), unaffordable for the utility, in which case sampling techniques have to be set up. With the purpose of total consumption estimation, this article describes standard methods of survey techniques applied to water networks and proposes a methodology for implementation of an operational sample. The methodology, which includes some constraints on the estimator precision, proposes a smart AMR equipment plan of the population, while reducing CAPEX. Finally, estimation of the total consumption, in addition to the knowledge of supplied volume, enables more accurate loss assessment and potential detection of new leaks.
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Feng, Ji Qin, Min Wu, Jin Lu, and Zi Ran Chen. "Design of Wireless Network Intelligent Gas Meter." Advanced Materials Research 472-475 (February 2012): 1135–40. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.1135.
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According to gas meter, including the traditional mechanical meter, IC card meter ,has the drawbacks of meter reading inconvenience and no control table function, The design of a intelligent network gas meter has the wireless transceiver function, adopted the single-chip radio frequency transceiver chip CC2500, not only simplify the meter reading process, and promote the automatic management of gas company. The wireless network intelligent gas meter system has stable performance, low power consumption, reliable communications, good anti-jamming performance.
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Surusa, Frengki Eka Putra, Steven Humena, and Fikri Yanto Nani. "Analisa Susut Non Teknis Menggunakan Automatic Meter Reading (AMR) Pada Pelanggan Potensial." Jambura Journal of Electrical and Electronics Engineering 4, no. 1 (2022): 1–7. http://dx.doi.org/10.37905/jjeee.v4i1.11272.
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Penelitian ini bertujuan untuk menghitung susut non teknis yang terjadi pada pelanggan potensial dengan Automatic Meter Reading (AMR) dan pengaruh / kerugian akibat susut non teknis terhadap pemakaian energi pada kantor Pemerintah Daerah Kota Gorontalo. Metode yang digunakan adalah studi kasus dengan melakukan monitoring, analisis dan evaluasi menggunakan aplikasi Automatic Meter Reading (AMR), serta melakukan pemeriksaan langsung di lapangan dengan melakukan pengukuran dan pengujian pada APP. Hasil penelitian menunjukkan bahwa pemakaian energi yang terukur hanya pada fasa S dan fasa T dengan jumlah sebesar 823.673 kWh. Sedangkan jumlah pemakaian energi yang tidak terukur yaitu fasa R sebesar 415.147 kWh. Hal ini menyebabkan kerugian kWh pada PT. PLN Persero UP3 Gorontalo. Penyebab tidak terukurnya phasa R diakibatkan karena Current Transformer (CT) pada phasa R mengalami kerusakan, sehingga mengalami penurunan pemakaian kWh dan jam nyala yang sangat signifikan. Penggunaan Aplikasi AMR ini memberikan kemudahan dalam mencari pemakaian energi yang tidak terukur, sehingga lebih cepat melakukan penormalan apabila terjadi kejanggalan pada kWh meter pelanggan.This study is aimed at calculating the non-technical losses that occur in potential customers through Automatic Meter Reading (AMR) and the effect/loss due to non-technical losses on energy consumption at the Gorontalo City Government Office. The method used is a case study by monitoring, analyzing, and evaluating the objects of study through the Automatic Meter Reading (AMR) application and conducting direct inspections in the field by measuring and testing the customer's Limiting and Measuring Tool (Bargainser). This study shows that the measured energy consumption is only in the S phase and T phase with a total of 823,673 kWh. While the amount of energy consumption that is not measured in the R phase is 415,147 kWh. It causes a loss of kWh at PT. PLN Persero UP3 Gorontalo. The cause of the unmeasured R phase is that the Current Transformer (CT) in the R phase has failed (damaged), resulting in a very significant decrease in kWh consumption and flame hours. The use of this AMR application makes it easy to find unmeasured energy consumption so that it is faster to normalize if there are irregularities in the customer's kWh meter.
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Wang, Huan Jin, Hong Yi Li, Kui Ming Sun, and Ling Song Yi. "Three-Meter AMR System with Grid Demand-Side Energy Management in Smart Home System." Applied Mechanics and Materials 473 (December 2013): 153–59. http://dx.doi.org/10.4028/www.scientific.net/amm.473.153.
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A remote AMR system based on a STC90C52AD microcontroller and wireless network technology is presented in this paper to solve the problems in existing AMR system. Based on Smart Home system with grid demand side energy management, the automatic meter reading system centralizes electric power, water, gas meters, provides remote real-time automatic meter reading services and give instruction suggestions which contribute to energy management. Through the Web application platform, the users can use the Internet, mobile phones and other means to achieve the remote monitoring of the household appliances, energy-saving and saving house electricity costs. This AMR system has been implemented successfully by the State Grid Corporation Shandong Electric Power Group Corporation and the department of Automation of Wuhan University in collaboration.
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Jiang, Jun Hai, and Xiao Hui Yang. "Application of Low-Voltage Carrier Meter Reading System in the Electricity Network Management." Applied Mechanics and Materials 455 (November 2013): 350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.455.350.
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Through analyzing the carrier meter reading system functions, characteristics, composition, Introduced the application of carrier meter reading technology in the power management system. As the carrier meter reading technology continues to improve, electricity management more standardized and scientific, automatic meter reading system technology will be a important means in low voltage automatic management and improving the service level.
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Chao, Yang. "Research on the Automatic Ammeter Reading System and Its Application on the Intelligent Ecological Community Project." Advanced Materials Research 341-342 (September 2011): 825–28. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.825.
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The Ultimate goal of property management in intelligent community lies in how to provide efficient and swift service with high quality. With the development of Science and Technology, Automatic Ammeter Reading System (RAARS) has made great improvement on Stability, accuracy and intelligence. The system with Automatic Ammeter for remote Reading is connected to property management center through Acquisition memory attached on the Bus using advanced sensing, electronics technologies based on traditional Mechanical instruments. As a result, managers can get the meter readings of central air conditioning, water, electricity, and gas of users from computer automatically which greatly decrease the labor force of workers and improve the management of property managing department.
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Egorov, Alexandr, Elena Kochneva, and Andrew Pazderin. "Detection of Systematical Errors of AMR System Complexes." Advanced Materials Research 960-961 (June 2014): 1342–46. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1342.
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Reliability of measurements received from automatic meter reading (AMR) systems is important. This paper presents method of bad data detection. The method allows to estimate the value of systematical error of each AMR complex in case of sufficient statistical sampling.
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Huang, Jui-Hua, Yong-Han Chen, and Yen-Lung Tsai. "Utilizing Cross-Ratios for the Detection and Correction of Missing Digits in Instrument Digit Recognition." Mathematics 12, no. 11 (2024): 1669. http://dx.doi.org/10.3390/math12111669.
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This paper aims to enhance the existing Automatic Meter Reading (AMR) technologies for utilities in the public services sector, such as water, electricity, and gas, by allowing users to regularly upload images of their meters, which are then automatically processed by machines for digit recognition. We propose an end-to-end AMR approach designed explicitly for unconstrained environments, offering practical solutions to common failures encountered during the automatic recognition process, such as image blur, perspective distortion, partial reflection, poor lighting, missing digits, and intermediate digit states, to reduce the failure rate of automatic meter readings. The system’s first stage involves checking the quality of the user-uploaded images through the SVM method and requesting re-uploads for images unsuitable for digit extraction and recognition. The second stage employs deep learning models for digit localization and recognition, automatically detecting and correcting issues such as missing and intermediate digits to enhance the accuracy of automatic meter readings. Our research established a gas meter training dataset comprising 52,000 images, extensively annotated across various degrees, to train the deep learning models for high-precision digit recognition. Experimental results demonstrate that, with the simple SVM model, an accuracy of 87.03% is achieved for the classification of blurry image types. In addition, meter digit recognition (including intermediate digit states) can reach 97.6% (mAP), and the detection and correction of missing digits can be as high as 63.64%, showcasing the practical application value of the system developed in this study.
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Tian, Ye, Yan Feng Ren, and Guang Hua Wang. "The Design of the Ethernet Meter Reading System Based on Broadband Power Line." Advanced Materials Research 490-495 (March 2012): 2755–59. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.2755.
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According to the current national conditions and the intelligent communities’ requirements on the electric energy metering system based on the broadband power line communication (PLC), this paper introduces a design program for achieving the remote meter reading through the broadband PLC technology. The system takes the high-performance single chip microcomputer and the Ethernet controller RTL8019AS as the core, the low-voltage power line as the medium of data communication, and makes the electronic meters access to the Ethernet via the broadband power line, thereby achieving the remote automatic meter reading. The multi-functional low-voltage power line remote meter reading system constituted by this system and the backstage management system together will have broad application prospects. In addition, this paper also makes a preliminary study on the reliability of the meter reading system.
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Aqeel, Muhammad, Hammad Shahab, Muhammad Naeem, Muhammad Sikander Shahbaz, Faizan Qaisar, and Muhammad Ali Shahzad. "Intelligent Smart Energy Meter Reading System Using Global System for Mobile Communication." International Journal of Intelligent Systems and Applications 15, no. 1 (2023): 35–47. http://dx.doi.org/10.5815/ijisa.2023.01.04.
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The innovation of e-metering (Electronic Metering) has experienced fast mechanical progressions and there is expanded interest in a solid and effective Automatic Meter Reading (AMR) framework. GSM Based shrewd vitality meter perusing framework replaces conventional meter perusing techniques. It empowers remote access to the existing vitality meter by the vitality provider. A GSM-based remote correspondence module is incorporated with the electronic vitality meter of every element to have remote access to the utilization of power. A PC with a GSM recipient at the opposite end, which contains the database goes about as the charging point. Live meter perusing from the GSM-empowered vitality meter is sent back to this charging point intermittently and these subtle elements are refreshed in a focal database. The total month-to-month utilization and the due bill are informed back to the client after handling this information. So, GSM-based remote AMR framework is a more successful approach for a traditional charging framework. This framework additionally gives specialists to power organizations to take activities against tolerant clients who have a remarkable contribution; generally, the organization has the ideal to detach the power supply, and it can reconnect the control supply after the affidavit of duty. So, we thought about building such an automatic system. This research is GSM-Based on a smart energy meter reading system to eliminate the conventional way of the reading system. In this paper, the GSM module sends reading information through SMS to the related Authority. There are no chances of any unethical mistake by using this modern technique.
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May, Zazilah, and Mohamad Firdaus Mohamad Roselee. "Automatic Meter Reader Using Zigbee." Applied Mechanics and Materials 303-306 (February 2013): 991–94. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.991.
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The real-time monitoring of a data is crucial in ensuring the accuracy of the acquired data. It determines whether the device is properly working or in fault. This paper proposed the design and implementation of a ZigBee-based wireless automatic meter reading system. It focuses on the development of a device that is capable of monitoring meter reader remotely. It sends the data hourly or daily using Zigbee as the transmitting medium. The proposed device uses software; XCTU, Arduino Programming Language, Multisim and hardware; Microcontroller, Pulse generating circuit, Zigbee antenna, 16X2 LCD Display to actually demonstrate the result. This device has a good potential in wireless meter reading due to its low-cost, low power consuming, and low data rate. The input is the pulse generated by the pulsating circuit and the output will be shown onto the LCD display and in the XCTU software proving that it transmitted wirelessly. The results successfully shows the data is received as what it is transmitted.
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Maheshwari, Unnati, and Kundan Kumar Singh. "Automatic Meter Detection and Recognition: A Robust Approach Based on Image Processing Techniques." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 4252–60. http://dx.doi.org/10.22214/ijraset.2023.54438.
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Abstract: To address the issue of manual reading, Automatic Meter Reading (AMR) is introduced, which is a combination of detection and recognition that is efficiently applied to identify the meter and accurately read the digits on electric meters. The initial step in meter detection is the collection of the dataset, after which the annotation process generates XML files that are converted to CSV files and the label map is generated. Using a pre-trained classifier SSD ResNet, the model is trained and evaluated. The identified photos are used as input meter images in meter recognition, where a sequence of pre-processing techniques is performed. After which, using tesseract and leptonica, a model is generated from source, and digit recognition is conducted. The accuracy of 95.45% is then generated after training and evaluating on 2000 images of different kinds of electric meters in various surroundings.
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Li, Xing Quan, Jian Liu, Chang Guo, and Si Jing Gao. "New Applications of the Wireless Meter Reading System-Wireless Automatic Routing." Applied Mechanics and Materials 380-384 (August 2013): 325–27. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.325.
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Aiming at the disadvantages of remote automatic meter reading way of the cable, this paper proposed wireless automatic wireless technology which based on the ZigBee technology and explained the key issues of wireless automatic routing mechanism, this mechanism has been applied in the wireless gas meter reading system, and operation effect is good.
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Zheng, Chen Sheng. "Remote Power Automatic Meter Reading System Based on GPRS." Applied Mechanics and Materials 63-64 (June 2011): 129–33. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.129.
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A remote power automatic meter reading system based on GPRS is introduced in this paper. The system using GPRS for communication and collecting the energy data in real-time, realize the optimization of the system resources. The components, structure, working process and the GPRS wireless transmission used in the remote power automatic meter reading meter are described and the practical application shows that the system obtained the desired results.
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Li, Li, Xiaoguang Hu, and Baochang Zhang. "A Routing Algorithm for WiFi-Based Wireless Sensor Network and the Application in Automatic Meter Reading." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/320894.
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The Automatic Meter Reading (AMR) network for the next generation Smart Grid is required to possess many essential functions, such as data reading and writing, intelligent power transmission, and line damage detection. However, the traditional AMR network cannot meet the previous requirement. With the development of the WiFi sensor node in the low power cost, a new kind of wireless sensor network based on the WiFi technology can be used in application. In this paper, we have designed a new architecture of WiFi-based wireless sensor network, which is suitable for the next generation AMR system. We have also proposed a new routing algorithm called Energy Saving-Based Hybrid Wireless Mesh Protocol (E-HWMP) on the premise of current algorithm, which can improve the energy saving of the HWMP and be suitable for the WiFi-based wireless sensor network. The simulation results show that the life cycle of network is extended.
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Dr., Sujaudeen N. "Time Series Forecasting Analysis for Automated Smart Meter Reading System." Indian Journal of Energy and Energy Resources (IJEER) 4, no. 3 (2025): 13–20. https://doi.org/10.54105/ijeer.C1043.04030525.
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<strong>Abstract: </strong>The Smart Meter Reading System modernizes traditional meter reading by enabling real-time energy monitoring and short-term consumption predictions for sectors like banking and automotive. The research in this paper focuses on the comparative application of time series forecasting techniques for enhancing the performance of Automated Smart Meter Reading(AMR) Systems. With a growing need for efficient energy management, especially in the context of smart grids and real-time analysis, this study explores how advanced machine learning and deep learning models can predict electricity energy consumption based on smart meter data. The research uses a realworld dataset from the UCI Machine Learning Repository: https://archive.ics.uci.edu/dataset/290/tamilnadu+electricity+boar d+hourly+readings. The study leverages time series forecasting models, including ARIMA, SARIMA, SARIMAX, LSTM, XGBoost, and CATBoost, to capture trends, seasonality, and long-term dependencies in sequential data. Each model is evaluated on benchmark metrics such as Root Mean Squared Error( RMSE) and Mean Squared Error (MSE) to measure forecasting accuracy. We have observed that the best models for our purpose of short-term predictions are our two ensemble models. We also find XGBoost to have significantly high predictive reliability. Traditional models like ARIMA have not produced adequate results for the energy data. This study is significant as it demonstrates that integrating machine learning and deep learning into AMR systems enhances the intelligence and responsiveness of the overall system. Accurate forecasting allows utilitiesto make informed decisions, optimize grid load, and foster consumer awareness. The findings advocate for adopting advanced data-driven methods in modern energy infrastructures to promote efficiency, reliability, and sustainability.
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Agustina, Ellisa, and Alvina Fitri Amalia. "PENURUNAN SUSUT NON TEKNIS PADA JARINGAN DISTRIBUSI MENGGUNAKAN SISTEM AUTOMATIC METER READING DI PT. PLN (PERSERO)." Jurnal Teknik Mesin 5, no. 4 (2017): 37. http://dx.doi.org/10.22441/jtm.v5i4.1223.
Full textAbstract:
Losses atau lebih dikenal dengan istilah Susut merupakan parameter yang harus selalu diperhatikan oleh PT. PLN (Persero), karena parameter tersebut yang menunjukkan seberapa baik efisiensi dari suatu sistem. Semakin besar nilai susut, berarti semakin kecil efisiensi sistem tersebut. Pada jaringan distribusi susut dapat terjadi karena beberapa factor, antara lain factor teknis dan non teknis. Prosentase total susut PLN Disjaya pada tahun 2013 sebesar 8.52%. Angka tersebut masih jauh diatas target kinerja yang ditetapkan oleh PLN Pusat sebesar 6.0%. Saat ini akan diterapkan metode pengukuran energi listrik dengan menggunakan sistem AMR (Automatic Meter Reading). Sistem AMR merupakan suatu sistem pembacaan atau pengambilan data hasil pengukuran energi listrik pada konsumen secara local maupun jarak jauh, dimana jadwal pembacaan dapat ditentukan sesuai kebutuhan. AMR dapat mengidentifikasi beberapa anomaly yang dapat menyebabkan terjadinya susut, antara lain anomaly arus, tegangan dan kesalahan pada saat pengawatan. Dari hasil perhitungan melalui analisa profil beban AMR diperoleh total susut energi di PLN Disjaya dan Tangerang pada tahun 2014 sebesar 4.551.767,2 kWh atau setara dengan Rp 4.175.758.693,- (Empat Milyar Seratus Tujuh Puluh Lima Juta Tujuh Ratus Lima Puluh Delapan Ribu Enam Ratus Sembilan Puluh Tiga Rupiah). Secara keseluruhan penggunaan system AMR dari tahun ke tahun ini dapat menurunkan prosentase susut pada. Pada tahun 2014 prosentase susut sebesar 6.61%.
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Nigar, Natasha, Hafiz Muhammad Faisal, Muhammad Kashif Shahzad, Shahid Islam, and Olukayode Oki. "An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach." Journal of Electrical and Computer Engineering 2022 (November 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/4543530.
Full textAbstract:
The developing countries are challenged with overbilling and underbilling, due to manual meter reading, which results in consumer dissatisfaction and loss of revenue. The existing automated meter reading (AMR) solutions are expensive; hence, sample-based manual snap auditing systems are introduced to control such meter reading inaccuracies. In these systems, the meter reader, besides reading, also collects meter images, which are used to manually audit the meter’s accuracy. Although such systems are inexpensive, they are limited in their ability to be sustainable and ensure 100% accurate meter readings. In this paper, a novel offline optical character recognition (OCR) system-based Snap Audit system is proposed and tested for its efficient and real-time 100% accurate meter reading capabilities. The experimental results on 5,000 real-world instances show that the proposed approach processes an image in 0.05 seconds with 94% accuracy. Moreover, the developed approach is evaluated with four state-of-the-art algorithms: region convolution neural network (RCNN), nanonets, Fast-OCR, and PyTesseract. The results provide evidence that our new system design along with novel approach is more robust and efficient as compared to existing algorithms by 43.6%.
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Claudio, K., V. Couallier, C. Leclerc, Y. Le Gat, X. Litrico, and J. Saracco. "Detecting leaks through AMR data analysis." Water Supply 15, no. 6 (2015): 1368–72. http://dx.doi.org/10.2166/ws.2015.071.
Full textAbstract:
Automatic meter reading (AMR) provides real-time consumption data, enabling to collect a huge amount of information about daily, even hourly, consumptions. It is then easy to assess lost volumes on the network, using supplied volumes information. However, because of the multiple components of water losses, the metering and calculation inaccuracies, the occurrence of new (detectable) leaks is hard to detect. Therefore this paper aims at proposing a user-friendly statistical tool that helps to quickly and reliably detect new leakage occurrence. The use of process control chart (like exponential weighted moving average) enables us to detect changes in the water loss time series, in particular, a new leak occurrence.
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Anida, Noor, A. Amirah, Mardianaliza Othman, et al. "Energy Meter Monitoring with Automatic Tariff Calculation." Applied Mechanics and Materials 793 (September 2015): 237–41. http://dx.doi.org/10.4028/www.scientific.net/amm.793.237.
Full textAbstract:
Energy meter monitoring with automatic tariff calculation is a project that can produce the output from energy meter to prepare a bill of electricity. Energy meter is a device that measure the amount of electric energy consumed. In Malaysia, the meter of Tenaga Nasional Berhad (TNB) travels for a long distance and take the reading manually to prepare the bill by visiting inside each of consumer house. This is high dependent on human forces. Sometimes the absence of consumer during billing process visiting make difficult to the meter reader to get the reader. Moreover many consumers are not satisfied with the estimate bills which are calculated based on average consumption. Soaring bill by estimate bills of electricity which consumer have to pay extra for the electricity billing. By using microcontroller and radio frequency transmitter for remote monitoring, the meter reader do not have to travel anymore. Global System for Mobile (GSM) uses to transmit and receive data from energy meter. The output which is calculated bill will be shown at Liquid Crystal Display (LCD) after apply the program coding in the microcontroller.
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Kochneva, Elena. "Verification of Electrical Energy Meterings Using the State Estimation Theory." Advanced Materials Research 1092-1093 (March 2015): 455–58. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.455.
Full textAbstract:
<p class="TTPSectionHeading">Energy metering complexes are included in the measuring part of the automatic meter reading (AMR) systems. Data distortion may occur at information level of AMR system as well as at measuring level. Errors that occur at the information level can be monitored programmatically. Measurement distortion occurred at the level of measurements is difficult to discover using technical methods. The trend in AMR systems is toward at improving their technical component, as well as increasing the amount of energy metering complexes which form AMR system. Still the mathematical modeling of the processes associated with energy measurements remains significantly low.</p>
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Dr. Sujaudeen N., Dr Lakshmi Priya, Gayathri Venkatesan, and Dharshni M. "Time Series Forecasting Analysis for Automated Smart Meter Reading System." Indian Journal of Energy and Energy Resources 4, no. 3 (2025): 13–20. https://doi.org/10.54105/ijeer.c1043.04030525.
Full textAbstract:
The Smart Meter Reading System modernizes traditional meter reading by enabling real-time energy monitoring and short-term consumption predictions for sectors like banking and automotive. The research in this paper focuses on the comparative application of time series forecasting techniques for enhancing the performance of Automated Smart Meter Reading(AMR) Systems. With a growing need for efficient energy management, especially in the context of smart grids and real-time analysis, this study explores how advanced machine learning and deep learning models can predict electricity energy consumption based on smart meter data. The research uses a realworld dataset from the UCI Machine Learning Repository: https://archive.ics.uci.edu/dataset/290/tamilnadu+electricity+boar d+hourly+readings. The study leverages time series forecasting models, including ARIMA, SARIMA, SARIMAX, LSTM, XGBoost, and CATBoost, to capture trends, seasonality, and long-term dependencies in sequential data. Each model is evaluated on benchmark metrics such as Root Mean Squared Error( RMSE) and Mean Squared Error (MSE) to measure forecasting accuracy. We have observed that the best models for our purpose of short-term predictions are our two ensemble models. We also find XGBoost to have significantly high predictive reliability. Traditional models like ARIMA have not produced adequate results for the energy data. This study is significant as it demonstrates that integrating machine learning and deep learning into AMR systems enhances the intelligence and responsiveness of the overall system. Accurate forecasting allows utilitiesto make informed decisions, optimize grid load, and foster consumer awareness. The findings advocate for adopting advanced data-driven methods in modern energy infrastructures to promote efficiency, reliability, and sustainability.
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Siswanto, Agus, Rendy Chandra Nova, and Mudofar Baehaqi. "Analysis of Measurement Results on AMR to Determine P2TL Operation Targets at PT PLN (Persero) UP3 Indramayu." Mestro: Jurnal Teknik Mesin dan Elektro 3, no. 02 (2021): 10–18. http://dx.doi.org/10.47685/mestro.v3i02.372.
Full textAbstract:
The Kwh Meter Automatic Meter Reading (Kwh Meter AMR) system is a system for recording electricity meters that is carried out automatically and remotely. Data communication sent by the AMR kWH meter at PT PLN (Persero) UP3 Indramayu uses an AMR modem as an electronic kWH meter interfacing with a wireless telecommunications network. The AMR kWh meter has a feature that besides recording the use of electrical energy used, it also records voltage, electric current, power factor, and the recording time of the customer's electricity usage meter is faster. PT PLN (Persero) UP3 Indramayu can carry out distribution network management which makes it easier in terms of distributing energy to customers and monitoring the use of electrical energy by customers. In operating the kWh meter AMR system can reduce losses caused by abnormal use of electrical energy by customers. These abnormalities include incorrect Wiring, errors in wiring on the Kwh Meter, Unbalance Current, unbalanced electricity usage by customers, Blank Kwh and AMR modem hangs/damages so that the communication signal is unstable and fails to retrieve data on electricity consumption by customers. To overcome these abnormalities, a check is carried out on the customer according to the findings of abnormal deviations in the AMR application. The use of unmeasured electrical energy during the Kwh Blank abnormality is 4,619 kWh with a total follow-up billing fee of Rp. 6,936,537.-. The results of the abnormality category of Incorrect Wiring were carried out by normalizing wiring errors in the Kwh Meter phase S and Phase T. The results of the Unbalance Current abnormality category, the electricity consumption at the customer at that time was not balanced, that is, the T phase was not used by the customer. The results of the AMR Modem abnormality category are replaced by the AMR Modem so that the customer's electricity consumption is again disabled in the AMR application.
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Mlakić, Dragan, Srete N. Nikolovski, and Goran Knežević. "An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1294. http://dx.doi.org/10.11591/ijece.v6i3.10147.
Full textAbstract:
The losses in distribution networks have always been key elements in predicting investment, planning work, evaluating the efficiency and effectiveness of a network. This paper elaborates on the use of fuzzy logic systems in analyzing the data from a particular substation area predicting losses in the low voltage network. The data collected from the field were obtained from the Automatic Meter Reading (AMR) and Automatic Meter Management (AMM) systems. The AMR system is fully implemented in EPHZHB and integrated within the network infrastructure at secondary level substations 35/10kV and 10(20)/0.4 kV. The AMM system is partially implemented in the areas of electrical energy consumers; precisely, in accounting meters. Daily information gathered from these systems is of great value for the calculation of technical and non-technical losses. Fuzzy logic in combination with the Artificial Neural Networks implemented via the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used. Finally, FIS Sugeno, FIS Mamdani and ANFIS are compared with the measured data from smart meters and presented with their errors and graphs.
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Mlakić, Dragan, Srete N. Nikolovski, and Goran Knežević. "An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1294. http://dx.doi.org/10.11591/ijece.v6i3.pp1294-1304.
Full textAbstract:
The losses in distribution networks have always been key elements in predicting investment, planning work, evaluating the efficiency and effectiveness of a network. This paper elaborates on the use of fuzzy logic systems in analyzing the data from a particular substation area predicting losses in the low voltage network. The data collected from the field were obtained from the Automatic Meter Reading (AMR) and Automatic Meter Management (AMM) systems. The AMR system is fully implemented in EPHZHB and integrated within the network infrastructure at secondary level substations 35/10kV and 10(20)/0.4 kV. The AMM system is partially implemented in the areas of electrical energy consumers; precisely, in accounting meters. Daily information gathered from these systems is of great value for the calculation of technical and non-technical losses. Fuzzy logic in combination with the Artificial Neural Networks implemented via the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used. Finally, FIS Sugeno, FIS Mamdani and ANFIS are compared with the measured data from smart meters and presented with their errors and graphs.
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Gu, Zhi Ru, Da Wei Liu, Hong Li Liu, and Zhou Wen Tan. "The Channel Characteristic and AMR Field Trial Results in China Distribution Grid." Advanced Materials Research 1049-1050 (October 2014): 794–97. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.794.
Full textAbstract:
Power line communication (PLC) has received much attention recently because of the need of reliable and automatic metering, In this paper we present a comprehensive study over the use of PLC in China. We begin with some background including the distribution grid topology, the power line channel environments, and the deployment of PLC network. Then we show some field test results of PLC-based meter-reading in a high frequency band. In addition, a suggestion how to improve G3-PLC is presented which can adapt China grid better.
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Asri, Yessy, Dwina Kuswardani, Efy Yosrita, and Ferdinand Hendrik Wullur. "Clusterization of customer energy usage to detect power shrinkage in an effort to increase the efficiency of electric energy consumption." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 10–17. https://doi.org/10.11591/ijeecs.v22.i1.pp10-17.
Full textAbstract:
Automatic meter reading (AMR) is a reading system result the measurement of electrical energy consumen, both locally and remotely. The problems faced is the high non-technical shrinkage of AMR customers due to installation, maintenance errors as well as dishonest actions some consumers, this has a major influence on electrical power losses. PT. PLN Disjaya currently faces difficulties having to choose which customers should be checked first, so the field can only find a little damage. The K-means method based on historical electric power usage and determine the most optimal number of groups the davies-bouldin index (DBI) method. Based on the results of testing with 2-6 sets of clusters, the cluster set results are the most optimal is set cluster 4 because it has the smallest DBI value 0.893. The set of 4 clusters has the best performance in data grouping of historical power usage of AMR customers the business class, each centroid of each cluster is used as an attribute and value of the AMR customer power usage business chart. The testing phase is customers who categorized as customers with un-normal usage electricity power. The test is, by determining the distance data testing each centroid in the cluster 4 set.
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Sabolić, Dubravko. "Utjecaj kvalitete PLC medija na kapacitet sustava automatskog očitavanja brojila." Journal of Energy - Energija 52, no. 4 (2003): 251–64. https://doi.org/10.37798/2003524565.
Full textAbstract:
Daje se analiza utjecaja kvalitete električne distribucijske mreže kao prijenosnog medija za komunikacijske signale (PLC, engl. Power Line Carrier) na kapacitet očitavanja u sustavu automatskog očitavanja brojila (AMR, engl. Automatic Meter Reading). Određuje se faktor vremenskog produljenja jednog prosječnog očitavanja brojila u ovisnosti o vjerojatnosti pogreške u prijenosu poruke, koja je najlakše mjerljiva veličina za opisivanje prijenosnih karakteristika PLC medija. U posljednjem dijelu članka daje se pregled drugih važnih klasičnih primjena s uskopojasnim komuniciranjem kroz PLC medij.
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Joseph, Aaron Tsapa. "Optimizing Outage Management Systems with Automated Meter Reading and Predictive Analytics." European Journal of Advances in Engineering and Technology 6, no. 2 (2019): 93–99. https://doi.org/10.5281/zenodo.11408306.
Full textAbstract:
The electrical grid's stability can be ensured by optimizing power interruptions and maintenance currently. This paper revolves around how an Outage Management System (OMS) can apply the concept of Automated Meter Reading (AMR) and predictive analytics. The described solution provides advanced tools and methods for outage detection, prediction, and resolution, eventually resulting in the most reduced downtime and highest customer satisfaction. This article examines the importance of AMR and predictive analytics, which contribute to better response times and operational efficiency. This integration can be helpful to utilities and customers in making their systems more robust and more resilient by learning what the consequences of integration would be.
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Wojciech, Koral. "Sectorisation of looped water networks with electromagnetic water meters." Water Practice and Technology 9, no. 2 (2014): 150–57. http://dx.doi.org/10.2166/wpt.2014.017.
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This paper describes the sectorisation of a water network, as operated by the water and sewage utility (PWiK Gliwice, Poland) with electromagnetic water-meters (battery powered). This solution allows supply of District Metered Areas (DMA) by a few points without ‘dead-end’ pipework and shows that the main problems of the Utility are small, hidden leaks. Additionally the paper describes a water balance for the town of Pyskowice (part of the Gliwice water network) where all water meters are read by radio (automatic meter reading – AMR).
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Rajanna, B. V., SVNL Lalitha, Ganta Joga Rao, and S. K. Shrivastava. "BPSK Modulation and Demodulation with Power Line Carrier Communication and GSM Communication for Smart Metering." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 3 (2016): 713. http://dx.doi.org/10.11591/ijpeds.v7.i3.pp713-722.
Full textAbstract:
GSM/GPRS and PLC communication are used for Automatic Meter Reading (AMR) applications. These AMR systems have made substantial progress over the recent years in terms of functionality, scalability, performance and openness such that they can perform remote metering applications for very demanding and complex systems. By using BPSK (Binary Phase Shift Keying) modulation with Power Line Carrier Communication, Smart Metering can be done in Rural Smart Micro-grids. The design and Simulation of BPSK Modulation and Demodulation are successfully done by using MATLAB/Simulink software. The advantages of using BPSK modulation over the QPSK modulation and the advantages of PLC Communication over the GSM Communication is identified in this paper.
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Bali, Mohamed Chaker, and Chiheb Rebai. "Improved Maximum Likelihood S-FSK Receiver for PLC Modem in AMR." Journal of Electrical and Computer Engineering 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/452402.
Full textAbstract:
This paper deals with an optimized software implementation of a narrowband power line modem. The modem is a node in automatic meter reading (AMR) system compliant to IEC 61334-5-1 profile and operates in the CENELEC-A band. Because of the hostile communication environments of power line channel, a new design approach is carried out for an S-FSK demodulator capable of providing lower bit error rate (BER) than standard specifications. The best compromise between efficiency and architecture complexity is investigated in this paper. Some implementation results are presented to show that a communication throughput of 9.6 kbps is reachable with the designed S-FSK modem.
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Asri, Yessy Ecy, Dwina Kuswardani, Efy Yosrita, and Ferdinand Hendrik Wullur. "Pendeteksian Susut Daya Pelanggan Dalam Upaya Meningkatkan Efisiensi Penggunaan Energi." PETIR 13, no. 2 (2020): 157–67. http://dx.doi.org/10.33322/petir.v13i2.1067.
Full textAbstract:
Automatic Meter Reading (AMR) adalah sistem pembacaan atau pengambilan data hasil pengukuran energi listrik pada konsumen, baik secara lokal maupun jarak jauh. Salah satu fungsi sistem ini adalah untuk menghitung kerugian atau penyusutan distribusi. Salah satu masalah yang dihadapi oleh PLN adalah penyusutan non-teknis yang tinggi dari pelanggan AMR potensial karena kesalahan pemasangan dan pemeliharaan serta tindakan tidak jujur yang dilakukan oleh beberapa konsumen, ini memiliki pengaruh besar pada kerugian daya listrik. PT. PLN Disjaya saat ini memiliki 34.000 pelanggan dan menghadapi kesulitan dalam memilih pelanggan mana yang harus diperiksa terlebih dahulu, karena jumlah personel di lapangan sekitar 5 orang, sehingga petugas yang melakukan sweep di lapangan hanya dapat menemukan sedikit kerusakan. Ini memotivasi penulis untuk melakukan pengelompokan yang dapat digunakan untuk memfasilitasi analisis dan evaluasi data. Metode K-Means digunakan dalam penelitian ini untuk mengelompokkan data berdasarkan riwayat penggunaan daya listrik dan untuk menentukan jumlah kelompok yang paling optimal digunakan metode Davies-Bouldin Index (DBI). Berdasarkan hasil pengujian dengan 2-6 set cluster, hasil set cluster yang paling optimal adalah set cluster 4 karena memiliki nilai DBI terkecil, yaitu 0,893, yang berarti set cluster 4 memiliki kepadatan masing-masing objek dengan centroid terbaik dan jarak antar cluster juga dipisahkan dengan baik. Cluster 1 memiliki 12 anggota, klaster 2: 54 anggota, klaster 3: 34 anggota dan klaster 4: 3 anggota. Himpunan 4 cluster memiliki kinerja terbaik dalam pengelompokan data tentang penggunaan daya historis pelanggan AMR (Automatic Meter Reading) di kelas bisnis, setiap titik pusat atau titik pusat dari masing-masing cluster digunakan sebagai atribut dan nilai penggunaan daya pelanggan AMR bagan bisnis di PT. PLN (Persero) Distribusi Jakarta Raya. Tahap pengujian yang diuji adalah data 3 pelanggan yang dikategorikan sebagai pelanggan dengan daya listrik penggunaan tidak normal. Pengujiannya adalah, dengan menentukan jarak dari masing-masing objek pengujian data ke setiap centroid dalam kelompok 4 set. Diharapkan bahwa sistem ini dapat digunakan oleh petugas karyawan di sektor Distribusi, Efisiensi, Pengukuran dan Kualitas Sub Sistem Sistem Distribusi untuk menetapkan target operasi P2TL di kantor distribusi PT. PLN (Pesero) Distribusi Jakarta Rayatau kehilangan listrik adalah salah satu hasil dari penerapan sistem pembacaan daya listrik historis, AMR (Automatic Meter Reading). Salah satu jenis kerugian yang memberi dampak besar terhadap kerugian listrik adalah kerugian Non-Teknis. Saat ini untuk mendeteksi kerugian itu sendiri, petugas masih memeriksa data secara langsung dari setiap pelanggan yang masuk untuk menganalisis dan mengevaluasi data. Terkait hal ini, diperlukan suatu sistem untuk memudahkan analisis dan evaluasi data. Metode K-Means digunakan dalam penelitian ini untuk mengelompokkan data berdasarkan riwayat penggunaan daya listrik dan untuk menentukan jumlah kelompok yang paling optimal digunakan metode Davies-Bouldin Index (DBI). Berdasarkan hasil pengujian aplikasi dengan 2-6 set cluster, hasil set cluster yang paling optimal adalah set cluster 4 karena memiliki nilai DBI terkecil, yaitu 0,893, yang berarti set cluster 4 memiliki kepadatan setiap objek dengan centroid terbaik dan jarak antara cluster juga dipisahkan dengan baik. Cluster 1 memiliki 12 anggota, klaster 2: 54 anggota, klaster 3: 34 anggota dan klaster 4: 3 anggota. Himpunan 4 cluster memiliki kinerja terbaik dalam pengelompokan data tentang penggunaan daya historis pelanggan AMR (Automatic Meter Reading) di kelas bisnis, setiap titik pusat atau titik pusat dari masing-masing cluster digunakan sebagai atribut dan nilai penggunaan daya pelanggan AMR grafik bisnis di PT. PLN (Persero) Distribusi Jakarta Raya. Tahap pengujian yang diuji adalah data 3 pelanggan yang dikategorikan sebagai pelanggan dengan daya listrik penggunaan tidak normal. Pengujiannya adalah, dengan menentukan jarak dari masing-masing objek pengujian data ke setiap centroid dalam kelompok 4 set. Diharapkan aplikasi ini dapat digunakan oleh petugas karyawan di sektor Distribusi, Efisiensi, Pengukuran dan Kualitas Sub Sistem Sistem Distribusi untuk menetapkan target operasi P2TL di kantor distribusi PT. PLN (Pesero) Distribusi Jakarta Raya.
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B. V. Rajanna. "PLC Communication using OOK/ASK Modulation for Automatic Meter Reading Systems for Smart Metering in Rural Smart Micro-Grids." International Transactions on Electrical Engineering and Computer Science 1, no. 1 (2022): 26–38. http://dx.doi.org/10.62760/iteecs.1.1.2022.2.
Full textAbstract:
Smart Grids are in performance an essential role in the current world. The current research efforts on these smart grids involve the advance in the turf of Smart Metering. The most costly, modest and straightforward to feast out abilities lie in Power Line Communications (PLC), which manufactured them useful in electric grids. Smart Metering in smart grid uses PLC technology in various architectures of LV grid. This paper proposes a scheme for a Smart Metering network with PLC expertise consuming on-off keying/amplitude-shift keying (OOK/ASK'S) Modulation. PLC with AMR schemes hand-me-down in energy conveyance system and recording, usages of illicit electricity by sleuthing because of the current network. More particularly in rural areas, the PLC with AMR Systems can minimize theft and illegal use electricity, which raises the power distribution authorities' revenue. Dissolute and Consistent meter analysis gathering with minor mistakes can be accomplished AMR Systems, which removes the requirement of physically construing meters. The anticipated system for current meters has remained in MATLAB/Simulink software.
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Negishi, Ryota, Shuichiro Haruta, Chihiro Inamura, Kentaroh Toyoda, and Iwao Sasase. "Monetary Fair Battery-based Load Hiding Scheme for Multiple Households in Automatic Meter Reading System." Journal of Telecommunications and Information Technology, no. 1 (March 30, 2016): 110–19. http://dx.doi.org/10.26636/jtit.2016.1.711.
Full textAbstract:
Automatic Meter Reading (AMR) system is expected to be used for real time load monitoring to optimize power generation and energy efficiency. Recently, it has been a serious problem that user’s lifestyle may be revealed by a tool to estimate consumer’s lifestyle from a real-time load profile. In order to solve this issue, Battery-based Load Hiding ( BLH ) algorithms are proposed to obfuscate an actual load profile by charging and discharging. Although such BLH algorithms have already been studied, it is important to consider multiple households case where one battery is shared among them due to its high cost. In this paper, a monetary fair BLH algorithm for multiple households is proposed. In presented scheme, the core unit calculates the difference between the charged amount and discharged one for each household. If the difference is bigger than the predefined threshold (monetary unfair occurs), the most disadvantageous and advantageous households are given priority to discharge and charge the battery and other households should charge to achieve monetary fairness. The efficiency of the scheme is demonstrated through the computer simulation with a real dataset.
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Liu, Xi You, and Hong Ying Wang. "Design of Power Meter Reading Circuit Based on CC2430 and RS485 Bus." Applied Mechanics and Materials 608-609 (October 2014): 494–98. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.494.
Full textAbstract:
The article analyze current situation of the electric meter reading system, and given circuit of the remote automatic meter reading based on single-chip system model, and introduced in detail the key part of data acquisition, data concentrator and the monitoring center software, hardware implementation. The wiring complexity of the project has been reduced by using the technology of RS485 communication for data transmission, which has been improved the reliability of data communication system, and reduced power consumption. The results show that the terminal is normal and reliable.
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Li, Xue Jun, and Peter Han Joo Chong. "Design and Implementation of a Self-Powered Smart Water Meter." Sensors 19, no. 19 (2019): 4177. http://dx.doi.org/10.3390/s19194177.
Full textAbstract:
Smart cities require interactive management of water supply networks and water meters play an important role in such a task. As compared to fully mechanical water meters, electromechanical water meters or fully electronic water meters can collect real-time information through automatic meter reading (AMR), which makes them more suitable for smart cities applications. In this paper, we first study the design principles of existing water meters, and then present our design and implementation of a self-powered smart water meter. The proposed water meter is based on a water turbine generator, which serves for two purposes: (i) to sense the water flow through adaptive signal processing performed on the generated voltage; and (ii) to produce electricity to charge batteries for the smart meter to function properly. In particular, we present the design considerations and implementation details. The wireless transceiver is integrated in the proposed water meter so that it can provide real-time water flow information. In addition, a mobile phone application is designed to provide a user with a convenient tool for water usage monitoring.
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Dzemski, Stefan. "Intelligente Erfassung von Wasser- und Wärmeverbrauch." HLH 70, no. 11-12 (2019): 31–33. http://dx.doi.org/10.37544/1436-5103-2019-11-12-31.
Full textAbstract:
Digitale Innovationen schaffen neue Möglichkeiten für das Energiemanagement der Zukunft. Der Trend geht in Richtung Smart Metering und Automated Meter Reading (AMR). Grund dafür sind zwei regulatorische Treiber: das Messstellenbetriebsgesetz (MsbG) und die EU Energieeffizienz-Richtlinie (EED).
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Mustafa, Ahmed Shamil, Mohamed Muthanna Al-Heeti, and Mustafa Maad Hamdi. "A new approach for smart electric meter based on Zigbee." Bulletin of Electrical Engineering and Informatics 11, no. 2 (2022): 722–30. http://dx.doi.org/10.11591/eei.v11i2.3198.
Full textAbstract:
A smart meter is an electronic device that accurately tracks your energy consumption and transmits that data to your energy provider so that you can be billed. The smart meters allow the central system and the meter to communicate in both directions. This two-way communication feature distinguishes the advanced metering infrastructure (AMI) in this case from automatic meter reading (AMR). This paper employs a hybrid system based on the Zigbee protocol, the Zigbee used to send messages between the smart meter and the utility company. To successfully complete tasks in this scenario, a cooperative communication system utilizing TDMA is used. The outcomes of Zigbee performance are measured using well-known metrics, also known as performance metrics. Many performance indicators have been chosen for performance evaluation: throughput, average end-to-end delivery ratio, and (PDR). The following conclusions were reached: End-to-end latency was 5.01 milliseconds, throughput was 42.63 kbps, and PDR was 97.19 percent. The network simulator successfully reads and wirelessly transmits voltage or power consumption using the Zigbee protocol and a cooperative communication system.
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Ahmed, Shamil Mustafa, Muthanna Al-Heeti Mohamed, and Maad Hamdi Mustafa. "A new approach for smart electric meter based on Zigbee." Bulletin of Electrical Engineering and Informatics 11, no. 2 (2022): 722–30. https://doi.org/10.11591/eei.v11i2.3198.
Full textAbstract:
A smart meter is an electronic device that accurately tracks your energy consumption and transmits that data to your energy provider so that you can be billed. The smart meters allow the central system and the meter to communicate in both directions. This two-way communication feature distinguishes the advanced metering infrastructure (AMI) in this case from automatic meter reading (AMR). This paper employs a hybrid system based on the Zigbee protocol, the Zigbee used to send messages between the smart meter and the utility company. To successfully complete tasks in this scenario, a cooperative communication system utilizing TDMA is used. The outcomes of Zigbee performance are measured using well-known metrics, also known as performance metrics. Many performance indicators have been chosen for performance evaluation: throughput, average end-to-end delivery ratio, and (PDR). The following conclusions were reached: End-to-end latency was 5.01 milliseconds, throughput was 42.63 kbps, and PDR was 97.19 percent. The network simulator successfully reads and wirelessly transmits voltage or power consumption using the Zigbee protocol and a cooperative communication system.