Relevant bibliographies by topics / Sewer blockage detection system

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Sewer blockage detection system'

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Published: 19 February 2023

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Journal articles on the topic "Sewer blockage detection system"

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S, Aakash Thalavaisamy, Keerthi Sree K, Padmanabhan S, Dr Manikandan R P S, Mr B. Varun Kumar, and Dr S. Prakash. "IOT BASED-Sewage Blockage Detection System." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 671–75. http://dx.doi.org/10.22214/ijraset.2022.40320.

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Abstract: Sewer system monitoring is important to keep the city clean. Irregular monitoring of the sewage system leads to obstruction of drainage. Sewer blockages are the main causes of sewer flooding and pollution. Sometimes, out of ignorance, workers may encounter an accident as they may not be aware of the conditions inside the manhole. This document represents an experimentation of the smart sanitation system using IoT. In this model, a water pump motor, transformer, microcontroller and IoT module is used to obtain the desired output from the module.
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Rupali S. Kokate, Saniya Ansari, S. M. Khairnar, Ravindra R. Patil,. "AN ASSESSMENT - WATER QUALITY MONITORING PRACTICES AND SEWER ROBOTIC SYSTEMS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (February 28, 2021): 140–48. http://dx.doi.org/10.17762/itii.v9i1.113.

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Water pollution has become a global issue and creating a severe problems due to contamination of various water sources such as agricultural waste, industrial waste, and sewage waste etc. So, the available sensory systems, nodes, and techniques plays a crucial role in identification of harmful pollutants in distinct water resources. The water pollutants monitoring techniques with prospered tools and sensors have been unfolded to find gap for future research maneuver. The need of real-time newer sensory system has been put forwarded for identification of mostly occurring harmful pollutants such as BOD, COD, TSS, and Hydrogen sulfide in examination of water quality. In this modern advancement, robotic systems have taken an intrinsic stand in diverse fields of humankind. An underground infrastructure is a base of modern society. In this paper, the existing methodologies and developed sewer robotic systems have been discussed and concluded on their applications, limitations and impact on realistic scenarios. Also, the cardinal point is revealed that previous art work focused only on sewer defect identification but not standardized work on sewer blockages detection and removal. So, the sewer robotic system with features of cost effectiveness and standardized accuracy matrix should be developed to resolve sewer blockage issues and followed by human scavenging. The survey outcomes extend a province of sewer robotics to resolve blockages issues of buried sewers of distinct diameters in real-time with substantial methodology.
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Et al., Pratim Bhosale. "IOT BASED SYSTEM FOR DETECTION OF SEWAGE BLOCKAGES." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 15, 2021): 961–70. http://dx.doi.org/10.17762/itii.v9i1.224.

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In smart cities, the Internet of Things(IoT) is a key aspect providing seamless and unique access to public resources, with the aim of achieving better utilization and optimization of power, water and transportation facilities. Today urban India is faced with a water crisis, about 80% of sewage enters lakes, rivers and groundwater untreated, due to the lack of effective wastewater infrastructure management. This research focuses mainly on monitoring of sewage infrastructure, to predict blockages, preventing them from turning into Sanitary Sewer Overflows (SSO). This paper proposes an IoT based full-fledged system to tackle this issue. The system monitors the working of access manholes in a network, collecting multiple data parameters, generated in and around these manholes, and sends alerts when the development of a blockage is detected. This geospatial data along with the alerts are observed via a centralized visual dashboard. Through this system, the objectives that the paper proposes to achieve, are generation of dynamic geo-spatial map of manhole networks, enabling the stakeholders to perform proactive maintenance of this infrastructure. Another goal of this work is to generate a data set for developing machine learning models for advanced maintenance methods.
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Wang, Shiyao, Jesus Leonardo Corredor Garcia, Jonathan Davidson, and Andrew Nichols. "Conductance-Based Interface Detection for Multi-Phase Pipe Flow." Sensors 20, no. 20 (October 16, 2020): 5854. http://dx.doi.org/10.3390/s20205854.

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Sediment and flow depth monitoring in sewers is important for informing flow models and for predicting and mitigating against sewer blockage formation and surcharge. In this study, a novel sensor based on conductance measurement has been developed and tested under a laboratory environment and validated by a finite-element model. The relative conductance is measured between pairs of adjacent electrodes to provide a conductance profile along the sensor length. A piecewise linear relationship between conductance and electrode length was derived and the interface positions between sediment, water, and air can be determined from the profile. The results demonstrated that the root mean square error of the model and the measured interface level are within 1.4% and 2.6% of sensor’s measurement range. An error distribution of interface height shows that all anticipated errors are within the resolution of the electrode length increments. Furthermore, it was found that the conductivity of the measured medium is proportional to the gradient of the linear relationship of conductance and electrode length. It could therefore prove a valuable new tool for the accurate quantification of sediment and flow levels in sewer conduits, coastal environments, drainage systems for transport networks, and other industrial or academic applications.
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Himanshu, S. "IOT based Manhole Detection and Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1608–13. http://dx.doi.org/10.22214/ijraset.2022.43862.

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Abstract: The sewage system must be monitored in order to maintain the city clean. Uneven sewage system monitoring causes drainage to become clogged. Blockages in the sewer system are a major source of sewer flooding and pollution. Workers may be involved in an accident as a result of their ignorance of the situation inside the manhole. To get the necessary output from the module, this model uses a regulator circuit, sensor driver circuit, microcontroller, serial communication devices, and IoT module. Overflowing drains in the sewage system are one of the most prevalent difficulties identified, which become more severe during the monsoon seasons when the authorities are ignorant of the overflowing drains. It is unsanitary for the adjacent residents and creates waterlogging, which leads to bug breeding. Our answer to this problem is an IoT system that warns municipal officials about overflowing drains immediately by email or notification at the city control centre, as well as citizens via social media or a mobile app. The essential component of this system is a low-power IoT-based portable gadget that is mounted below the manhole cover. [2][7]
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Dirckx, G., T. Wambecq, A. Qvick, and M. Weemaes. "EPIGONE: the argus on the daily operation of throttle structures." Water Practice and Technology 8, no. 3-4 (September 1, 2013): 382–89. http://dx.doi.org/10.2166/wpt.2013.038.

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This study presents the development of an Early Warning System (EWS) called EPIGONE focusing on the detection of dry weather overflows in the vicinity of throttle structures in sewer systems. Throttle structures are considered as vital parts of a sewer system as they are control sections limiting flow rates to a designed operational value. Because these structures are by definition prone to potential clogging or blockages, a close follow-up of the daily operation by an EWS facilitates increased vigilance or even alarm. Primary goal of EPIGONE is to alert operators and thus allow fast intervention in case of suspected failures of these structures within a settled timeframe. EPIGONE combines overflow water level measurements with rainfall radar information to determine Combined Sewer Overflow (CSO) activity during dry weather as this dual condition will indicate malfunctioning. This combination of measurements was found to be the most cost effective set-up to deploy on a large scale. Water level data are recorded and logged on-site and sent to a central controller via GSM/GPRS, where an algorithm determines dry weather overflow conditions. Rainfall radar data are used as criterion to decide on dry weather conditions. From there on alarms are sent out to multiple recipients via e-mail and/or text messages (SMS). Next to this, it is obvious that this system can also be used for ‘regular’ wet weather CSO monitoring.
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Bin Ali, M. T., K. V. Horoshenkov, and S. J. Tait. "Rapid detection of sewer defects and blockages using acoustic-based instrumentation." Water Science and Technology 64, no. 8 (October 1, 2011): 1700–1707. http://dx.doi.org/10.2166/wst.2011.183.

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Sewer flooding incidents in the UK are being increasingly associated with the presence of blockages. Blockages are difficult to deal with as although there are locations where they are more likely to occur, they do occur intermittently. In order to manage sewer blockage pro-actively sewer managers need to be able to identify the location of blockages promptly. Traditional closed-circuit television (CCTV) inspection technologies are slow and relatively expensive so are not well suited to the rapid inspection of a network. This is needed if managers are to be able to address sewer blockages pro-actively. This paper reports on the development of an acoustic-based sensor. The sensor was tested in a full scale sewer pipe in the laboratory and it was shown that it is able to find blockages and identify structural aspects of a sewer pipe such as a manhole and lateral connection. Analysis of the received signal will locate a blockage and also provide information on its character. The measurement is very rapid and objective and so inspections can be carried out at much faster rates than using existing CCTV technologies.
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Melville-Shreeve, Peter, Sarah Cotterill, Alex Newman, and David Butler. "Campus Study of the Impact of Ultra-Low Flush Toilets on Sewerage Networks and Water Usage." Water 13, no. 4 (February 5, 2021): 419. http://dx.doi.org/10.3390/w13040419.

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Water demand management often focuses on quantifying the benefits of water efficiency rather than the potential impact of reduced flows on the sewer network. This study assessed the impact of a high-density deployment of ultra-low flush toilets (ULFT). A pre-installation washroom survey was carried out in July 2018. Water demand and sewer network condition were assessed ahead of the installation of 119 ULFTs and a real-time monitoring system across seven buildings on the University of Exeter campus. ULFTs were flushed 257,925 times in 177 days saving an estimated 2287 m3 per annum (compared to traditional 6 litre WCs). The annual cost saving of this reduction is approximately £12,580/annum, assuming a volumetric cost of £5.50/m3 of water. Mean discharge to the sewer network reduced by 6 m3/day. In the six-month period, 95 maintenance issues were reported, equating to 1 in 2700 flushes (0.037%). However, the frequency of incidents decreased after an initial commissioning period. There is no evidence, from blockage reports or photographs of manhole flow conditions, that the risk of blockage in the sewer network increased as a result of the ULFT installation programme.
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Jamaludin, J., R. A. Rahim, M. H. F. Rahiman, W. Z. W. Ismail, I. Ismail, M. Sahrim, S. R. Balakrishnan, S. N. Raisin, F. M. Rahalim, and B. Naeem. "A study on early detection of sewer pipeline blockage using CCD tomography approach." IOP Conference Series: Earth and Environmental Science 646, no. 1 (January 1, 2021): 012049. http://dx.doi.org/10.1088/1755-1315/646/1/012049.

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Marquez, Andres, C. Jagroop, and C. Maharaj. "Wastewater collection system failures in a capital city: analysis and sustainable prevention." Water Science and Technology 83, no. 8 (March 19, 2021): 1958–72. http://dx.doi.org/10.2166/wst.2021.105.

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Abstract An analysis of failures in a capital city's wastewater collection system was carried out and recommendations were made for sustainable preventive measures based on a risk of failure assessment. Most failures in sewer lines were associated with blockage caused by sediment accumulation and clogging from fats, oils and/or grease dumped by restaurants along several streets, combined with poor or nonexistent maintenance of the lines. Sewer lines in streets with higher risk levels due to multiple food establishments along those streets experienced most of the failures. Sustainability of the proposed maintenance was evidenced since it reduces costs and exposure to harmful substances and hazardous conditions as well as minimizing environmental impacts.
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Dissertations / Theses on the topic "Sewer blockage detection system"

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Buurman, Benjamin. "Intelligent sewer blockage detection system using Internet of Things." Thesis, Federation University Australia, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/169289.

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Despite being a common issue in both developed and developing countries, wastewater blockages have severe potential consequences. Blockages can be located at sewer mains or individual properties and can also be classified as partial or full. Full blockages completely obstruct a wastewater asset, and partial blockages will often develop into full blockages if left unattended. Currently, blockages are managed by routine manual inspections to wastewater assets on a round-robin schedule. This is highly inefficient and costly, as blockages that form between these inspections and progress to effluent breaches will go undetected. In this thesis we present an Internet of Things (IoT) solution capable of simultaneously monitoring an entire wastewater infrastructure for blockages while still remaining inexpensive, reliable, and practical. Wireless motes use float switch sensors to detect blockages and transmit this to a central system using either LoRa or Wi-Fi communications. Making both LoRa and Wi-Fi available ensures the system can be adapted in any situation across a variety of geographic and economic restrictions. The central system determines whether a surcharge is caused by a blockage or simply the result of regular activity not requiring intervention. Detection of false positives is critical, as deployment of field technicians is an expensive process that moves resources from other skilled work. If a surcharge is determined to be caused by a blockage, the central system will classify it as full or partial before estimating the property or length of main between properties it is located at. Following this, relevant parties will be notified so field technicians can be deployed to resolve the blockage. We performed both practical laboratory testing and simulation modelling on our proposed system, and confirmed it is indeed capable of detecting, classifying, and locating blockages across a wide urban area. Our choice of hardware, software and network equipment ensures that the proposed IoT-based solution is inexpensive, workable, and easily deployable.
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Piatyszek, Éric. "Détection de dysfonctionnements en système hydrographique : application aux réseaux d'assainissement." ENSMP, 1998. http://www.theses.fr/1998ENMP0838.

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Ce travail de recherche vise à développer des méthodes de détection et diagnostic appropriées et intégrables dans des systèmes soit d'aide à la décision dans le cadre de la gestion temps réel des réseaux d'assainissement, ou dans des procédures d'élaboration automatique de bilans quantitatifs de pollution légalement exigibles. Cette étude méthodologique débouche sur une synthèse et un approfondissement des techniques de détection et diagnostic de dysfonctionnements de réseau d'assainissement, et permet de dégager trois méthodes de détection reposant sur un modèle soit qualitatif soit analytique. L'une de ces méthodes s'applique à construire des comportements attendus du réseau synthétisés dans un modèle qualitatif dont la réponse est croisée avec les mesures. Les deux autres approches s'appuient sur un modèle hydrologique de transformation pluie-débit intégré dans un filtre de Kalman. La détection est alors réalisée soit avec un banc de filtres de Kalman complété par un test multi-hypothèses, soit avec un seul filtre de Kalman associé à un ensemble de tests d'hypothèses. Ces méthodes sont complétées par des analyses de sensibilité des procédures de détection et des exemples d'application pour des pluies de type différent. Enfin, une méthode de validation de mesures hydrauliques acquises en contexte hydrologique de temps sec est proposée. Elle s'appuie sur la création de scénarios de temps sec, comparés aux mesures hydrauliques grâce à des tests d'hypothèses. Cette approche permet alors d'identifier des contextes hydrologiques et hydrauliques caractérisant l'environnement d'un point de mesure
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Shehab-Eldeen, Tariq. "An automated system for detection, classification and rehabilitation of defects in sewer pipes." Thesis, 2001. http://spectrum.library.concordia.ca/1624/1/NQ68210.pdf.

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The poor status of sewer pipes in North America has been reported by many researchers, revealing the presence of many defects that impact their performance. Inadequate inspection is considered as one of the main causes behind the declining condition of this class of pipes. This could be attributed to high cost of inspection and inadequate funds allocated to this purpose. The high cost is due to the current manual and high labor intensive inspection practice. Sewer rehabilitation methods are numerous and are constantly being developed. One of the rapidly expanding fields in the sewer rehabilitation industry is trenchless technology. Due to the large number of methods associated with this field, selecting the most suitable method manually can be a challenging task. Selection in this environment may also suffer from the limited knowledge and/or experience of the decision-maker. This research presents two developed automated systems: AUTO-DETECT and AUTO-SELECT. AUTO-DETECT detects and classifies defects in sewer pipes automatically. The system utilizes image analysis techniques, artificial intelligence (AI) and Visual Basic programming language for performing its task. A multiple classifier module encompassing a total of fifteen classifiers was developed to counter-check the results generated by the system. A solution strategy was also developed for efficient utilization of the developed specialized classifiers in an effort to improve the system's performance. The automated system was validated using actual data from randomly selected sections of the sewer network of a major Canadian municipality. The system's accuracy was found to range from 80% to 100%. AUTO-SELECT is essentially a multi-attribute decision support system designed to select and rank the most suitable trenchless rehabilitation methods for sewer pipes. The system utilizes two modules: (1) database management system (DBMS) and (2) decision support system (DSS). The developed relational database assists in identifying suitable trenchless rehabilitation techniques that satisfy a total of sixteen factors which account for technical, contractual and cost requirements of projects as well as user specified preferences. In case of having more than one suitable rehabilitation method, a DSS was developed to evaluate and rank them and, accordingly, suggest the most suitable one. A case example has been worked out to demonstrate the use and capabilities of the developed system.
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Book chapters on the topic "Sewer blockage detection system"

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Merino, Luis, David Alejo, Simón Martinez-Rozas, and Fernando Caballero. "A RGBD-Based System for Real-Time Robotic Defects Detection on Sewer Networks." In Advances in Intelligent Systems and Computing, 593–605. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35990-4_48.

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G., Boopathi Raja. "An Intelligent Approach for Detecting and Preventing Heart Attacks Using Wearable Technology." In Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization, 57–74. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8786-7.ch004.

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Health-related parameters and issues are extremely important to man's existence and influence. Diabetes mellitus, high cholesterol, and high blood pressure can all cause a blockage of the coronary arteries, resulting in heart palpitation. Various systems use an alarm to display the current state of a patient and are capable of tracking the human body's medical parameters. A defibrillator device with an alert system has been implemented for low-cost, efficient, and flexible heart rate detection and control. The sensors monitor and calculate heart rate, body temperature, and sweat and send the signals to the control device for processing. The local system will issue an alert if there is a significant difference between the normal and measured heart rates, body temperature, or sweat rate. This system monitors heart rate in a constant, real-time, stable, and precise manner. If an abnormality in the patient's heartbeat is observed, the defibrillator can deliver a shock to the patient's external body as a buzzer emits a beep to warn nearby people.
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Dutta, Paramartha, and Varun Kumar Ojha. "Conjugate Gradient Trained Neural Network for Intelligent Sensing of Manhole Gases to Avoid Human Fatality." In Advances in Secure Computing, Internet Services, and Applications, 257–80. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4940-8.ch013.

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Computational Intelligence offers solution to various real life problems. Artificial Neural Network (ANN) has the capability of solving highly complex and nonlinear problems. The present chapter demonstrates the application of these tools to provide solutions to the manhole gas detection problem. Manhole, the access point across sewer pipeline system, contains various toxic and explosive gases. Hence, predetermination of these gases before accessing manholes is becoming imperative. The problem is treated as a pattern recognition problem. ANN, devised for solving this problem, is trained using a supervised learning algorithm. The conjugate gradient method is used as an alternative of back propagation neural network learning algorithm for training of the ANN. The chapter offers comprehensive performance analysis of the learning algorithm used for the training of ANN followed by discussion on the methods of presenting the system result. The authors discuss different variants of Conjugate Gradient and propose two new variants of it.
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Conference papers on the topic "Sewer blockage detection system"

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Livingston, Bryon, Jon Sprague, and Mike Garaci. "Innovative Application of Leak Detection Technology on a Combined Sewer System." In Pipeline Division Specialty Conference 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41138(386)118.

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Kumar, Srinath S., and Dulcy M. Abraham. "A Deep Learning Based Automated Structural Defect Detection System for Sewer Pipelines." In ASCE International Conference on Computing in Civil Engineering 2019. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482445.029.

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Ahrary, Alireza, Masumi Ishikawa, and Minoru Okada. "Experimental evaluation of intelligent fault detection system for inspection of sewer pipes." In 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iros.2007.4399400.

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Loureiro Silva, L., P. C. C. Monteiro, J. L. A. Vidal, and Theodoro A. Netto. "Acoustic Reflectometry for Blockage Detection in Pipeline." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23488.

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Flow assurance is an important aspect of offshore, particularly deepwater pipeline design and operation, since one of the critical issues is the eventual initiation and growth of hydrate or paraffin blockages under certain conditions. Ideally, operators would benefit from online information regarding position and extent of an eventual blockage in a pipeline. The aim of this work is to apply acoustic technology to design and make a prototype that can be used in a pipe to efficiently identify and measure blockages. The technique uses a short duration sound pulse that is injected into the pipe. When the acoustic pulse encounters an impedance discontinuity, a portion is reflected back towards the acoustic source and microphones or hydrophones. Analysis of the measured signal reflections can provide valuable data related to location and size of the blockages. An experimental setup with a pipe of 4″ internal diameter and length of 100 m was constructed, and different excitation signals for the impulsive response function measurements were conducted. Microphones and hydrophones measurements were recorded using a fit-for-purpose data acquisition system with sampling rates of up to 1kS/s per channel. The tests were performed in air and water using different sizes of blockages and in different positions in the pipe. In parallel, finite element analyses were performed using the commercial software Abaqus to simulate the same conditions. The experiments were numerically reproduced with good correlation proving the potential of the technique.
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Chaki, Ayan, and T. Chattopadhyay. "An intelligent fuzzy multifactor based decision support system for crack detection of underground sewer pipelines." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687118.

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Gavriilidis, Alexandros, Dennis Muller, Stefan Muller-Schneiders, Jorg Velten, and Anton Kummert. "Sensor system blockage detection for night time headlight control based on camera and radar sensor information." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338854.

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Guo, W., L. Soibelman, and J. H. Garrett, Jr. "Automatic Defect Detection and Recognition for Asset Condition Assessment: A Case Study on Sewer Pipeline Infrastructure System." In International Workshop on Computing in Civil Engineering 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40937(261)51.

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Thiyagarajan, Karthick, Sarath Kodagoda, Nalika Ulapane, and Mukesh Prasad. "A Temporal Forecasting Driven Approach Using Facebook’s Prophet Method for Anomaly Detection in Sewer Air Temperature Sensor System." In 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2020. http://dx.doi.org/10.1109/iciea48937.2020.9248142.

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Eino, Jyun-Ichi, Akira Uehara, Tetsuya Wakui, Takumi Hasizume, Nobuo Miyaji, and Yoshitaka Yuuki. "Monitoring of Impulse Line Blockage Using Phase Difference Between Upstream and Downstream Pressures of Orifice." In ASME 2008 Power Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/power2008-60058.

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The combination use of a differential pressure transmitter, orifice and impulse line to produce a flowmeter is widely used in the process industries. Since the most frequent problem encountered in the usage of this flowmeter is impulse line blockage, an online blockage detection system is required. In previous works, the authors developed an indicator of impulse line blockage, called the blockage index, which is based on pressure fluctuations. Although the blockage index is able to detect the blockage effectively without being affected by the change in the flow rate and pressure, it can not detect the blockage as the rate of line pressure change increase. In addition, there are continuous and frequent line pressure changes in certain applications. Hence, the objective of this study is to detect impulse line blockages even when the line pressure change rate is so high that the blockage index is unable to detect the blockage. In this paper, the authors present details on the delay in the pressure transmission caused by the blockage, and evaluate the delay quantitatively by using the phase difference between the pressure upstream and downstream of the orifice as a new blockage index. In addition, by selecting frequencies with high power spectral densities, the new index becomes sensitive enough to detect the blockage during the more rapid line pressure changes under which the former blockage index failed.
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Lavallie, Orlin, Ahmed AL Ansari, Stephen O'Neill, Olivier Chazelas, Philippe Glenat, and Bahman Tohidi. "Successful Field Application of an Inhibitor Concentration Detection System in Optimising the Kinetic Hydrate Inhibitor (KHI) Injection Rates and Reducing the Risks Associated with Hydrate Blockage." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2009. http://dx.doi.org/10.2523/iptc-13765-ms.

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