Journal articles: 'Human-machine interface HMI'

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Zhang, Kun, and Xi Wei Peng. "Design of Human Machine Interface Based on ARM and Linux." Applied Mechanics and Materials 241-244 (December 2012): 2714–17. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2714.

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In order to provide more convenient options for users and developers, the design of Human Machine Interface (HMI) based on ARM and embedded Linux is put forward. It makes full use of multiple peripherals of ARM and flexibility of Linux OS. Firstly, hardware design of the HMI system is presented. Then methods of embedded Linux transplanting and the device drivers programming are discussed. Finally, running results and applications of the designed HMI are considered. The design combines the features of traditional HMI and Micro Control Unit (MCU) HMI, including low cost, rich interfaces and easy programming.

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Wang, Tai Hang, and Peng Jun Zheng. "Analysis of Usability of ECDIS Human-Machine Interface." Applied Mechanics and Materials 519-520 (February 2014): 1397–400. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1397.

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Usability is a key indicator in the evaluation of Human-Machine Interface (HMI). ECDIS has a typical HMI for e-Navigation system. In order to improve the usability of ECDIS HMI, it is necessary to carry out usability evaluation. This paper investigated the time spent in executing typical navigation operations using two common designs, which are based on single document and dialog box. The accuracy of the theoretical prediction was verified against actual test results, and the efficiency of the two design schemes was compared. The research results can provide scientific guidance to improve the usability of ECDIS and design of HMI.

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Patil, Abhijeet. "Automation of Universal Testing machine using Human Machine Interface (HMI)." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 1 (2015): 401–3. http://dx.doi.org/10.17762/ijritcc2321-8169.150179.

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Kang, Taewook. "BIM-Based Human Machine Interface (HMI) Framework for Energy Management." Sustainability 12, no. 21 (2020): 8861. http://dx.doi.org/10.3390/su12218861.

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This study proposes a Building Information Modeling (BIM)-based Human Machine Interface (HMI) framework for intuitive space-based energy management. The BIM-based HMI supports building managers with a method of linking data between BIM and Building Energy Management System (BEMS), which are heterogeneous systems, and provides space-based real-time energy monitoring. This study also proposes a BIM and BEMS data linking framework for systematic BIM-based HMI development. Towards this end, the BIM-based HMI framework was defined after deriving the considerations and requirements necessary for linking the energy control point and BIM through a questionnaire designed by practitioners. Through case analysis, the authors implemented BIM-based HMI and analyzed its effects. The results of the analysis confirmed the positive effects (3.9/5.0) on the connectivity of BIM-based HMI, the benefits (4.3/5.0) for real-time data monitoring, the system function expandability, and the BIM-based spatial intuitiveness.

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Yang, Guangchuan, Mohamed M. Ahmed, and Biraj Subedi. "Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (2020): 438–49. http://dx.doi.org/10.1177/0361198120929692.

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Connected vehicle (CV) technology aims to improve drivers’ situational awareness through audible and visual warnings, commonly displayed on a human–machine interface (HMI), thus reducing the likelihood of crashes caused by human error. Nevertheless, the presence of an in-vehicle CV HMI may pose an increasing threat to driver distraction, particularly for truck drivers and under high workload driving conditions. With this concern, this research investigated the effects of a HMI developed by the Wyoming Department of Transportation CV Pilot on truck drivers’ cognitive distraction and driving behavior through a driving simulator experiment. Revealed preference survey and vehicle dynamics data were employed to assess the cognitive distractions of the Pilot’s HMI. Simulation results indicated that when CV warnings were displayed on the HMI, they did not introduce significant effects on participants’ longitudinal and lateral control of the vehicle. Nevertheless, from the revealed preference survey, it was found that approximately 27% of the participants indicated that the CV HMI tended to introduce additional visual workload for them, particularly when approaching an active freeway work zone under reduced visibility condition. In this regard, this research pointed out that the design of CV warnings and HMI displays needs to incorporate drivers’ ability to recognize and react safely to the received CV warnings to minimize the cognitive distractions introduced by the CV HMI.

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Kustori, Kustori. "Rancangan Alat Kontrol Pemadam Kebakaran Otomatis Berbasis Mikrokontroler Arduino Mega Dengan Menggunakan Sensor Asap, Suhu dan HMI (Human Machine Intrface) di Bandar Udara." Jurnal Penelitian 2, no. 3 (2017): 155–62. http://dx.doi.org/10.46491/jp.v2e3.91.155-162.

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Pemadam kebakaran selama ini di Bandar Udara ditanggulangi oleh petugas pemadam kebakaran dan belum di bangunnya alat kontrol pemadam kabakaran secara terintegrasi di ruang Terminal Bandara menyebabkan berbagai permasalahan dalam pelayanan jasa pada Bandar Udara sehingga dengan adanya alat pemadam kebakaran otomatis yang menggunkan HMI (Human Machine Interface) di Bandar Udara ini dapat menanggulangi permasalahan selama ini di Bandar Udara. Permasalahan yang di kaji dalam penulisan tugas akhir ini adalah belum di bangunnya alat kontrol pemadam kebakaran yang terintegrasi menggukan HMI (Human Machine Interface) pada Bandar Udara. Penulisan tugas akhir ini bertujuan untuk mendapat suatu rancangan alat pemadam kebakaran otomatis yang menggunakan HMI (Human Machine Interface) di Bandar Udara . Pemadam kebakaran otomatis yang menggunkan HMI (Human Machine Interface) merupakan suatu rancangan alat yang mengunakan sensor sebagai detektor bahwa adanya bahaya pemicu kebakaran dan mikrokontroler sebagai pusat pengelolah data dan sebagai eksekusinya digunakan pompa dan springkler untuk memadamkan api, HMI (Human Machine Interface) disini digunakan untuk memudahkan pengontrolan langsung pada peralatan kebakaran serta ruangan tempat terjadi kebakaran. Selain itu tujuan dari penulisan tugas akhir ini adalah untuk menerapkan ilmu yang telah diperoleh selama mengikuti pendidikan di Akademi Teknik dan Keselamatan Penerbangan Surabaya. Dari hasil pengujian alat maka dengan adanya alat pemadam kebakaran otomatis yang menggunakan HMI (Human Machine Interface) dapat menanggulangi permasalahan dan memenuhi kebutuhan akan kenyamanan dan keamanan dalam penyediaan jasa penerbangan di Bandar Udara.

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Adriel, Stefan, Melisa Mulyadi, Budi Kartadinata, and Linda Wijayanti. "PENGGUNAAN HUMAN MACHINE INTERFACE UNTUK SIMULASI PENGOLAHAN MINYAK KELAPA SAWIT." Jurnal Elektro 13, no. 1 (2020): 21–31. http://dx.doi.org/10.25170/jurnalelektro.v13i1.1821.

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Technological developments have brought changes in the industry, the process that was originallydone by humans has turned to the automation system. In this paper the application of the automationsystem is carried out on the processing of palm oil. The system is made in the form of a simulation ofan automation system using the Programmable Logic Controller (PLC) and Human MachineInterface (HMI). Automation of palm oil processing using PLC with the help of Unity Pro XLsoftware, monitoring processes using HMI with the help of Vijeo Designer Basic software, and analoginput simulated using a potentiometer. PLC receives and processes data from both analog inputs andfrom HMI. The process of cooking and extracting palm oil carried out by the PLC is displayed on theHMI. From the test results, it is known that the PLC can communicate with HMI and HMI can displaythe processes that occur in palm oil processing.

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Abdullah, Ade Gafar, and Agung Pramudiantoro Putra. "Water Level Measurement Altitude Trainer Integrated With Human Machine Interface." Indonesian Journal of Science and Technology 2, no. 2 (2017): 197. http://dx.doi.org/10.17509/ijost.v2i2.8019.

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This research aims to design a trainer simulator wake height of the water level measurement using microcontroller arduino mega integrated with Human Machine Interface (HMI). This tool is designed to describe a working system of water level elevation measurements as a learning medium HMI. By using a microcontroller arduino mega, all processes in both input and output can be integrated to the HMI using a 7-inch LCD screen.

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Duan, Yu An, Hai Tao Song, and Yan Ming Sun. "The User-Oriented Design and Practice of HMI." Applied Mechanics and Materials 58-60 (June 2011): 1819–23. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1819.

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HMI (Human-machine Interface) is the media of communication between human and the computer system; designers should not only consider the completeness of its functions in the design of software products, but also human factors. It is necessary for the software products to meet the functional requirements of users, besides; a friendly interface is also needed to improve customers’ satisfaction while improving users’ productivity. This paper discusses the principles and specific method of designing a user-centered human-machine interface and then applies the method in the design of the mounter’s interface so as to test the method put forward in the paper.

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Amin, Al, and Risfendra Risfendra. "Human Machine Interface for Automation System of Handling Station." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 1, no. 3 (2019): 13–20. http://dx.doi.org/10.46574/motivection.v1i3.10.

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Industries have implemented automation technology to increase their productivity. One machine that applies automation technology is the handling station. This machine is useful for moving parts or components in the industry. For the performance of this machine to be monitored directly, we need a system that can control and monitor the work process of this tool. This article is an explanation of the results of the study aimed at designing the HMI handling station automation system using a PLC as its controller, HMI as a media for operation and monitoring of machines, magnetic sensors, inductive sensors and pressure sensors to detect machine conditions. Research conducted using quantitative methods. After testing, the system can be monitored and controlled through HMI, besides that data recording carried out with a data logger can also record the system work process directly when the system is run.

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Dong, Wentao, Lin Xiao, Wei Hu, Chen Zhu, YongAn Huang, and Zhouping Yin. "Wearable human–machine interface based on PVDF piezoelectric sensor." Transactions of the Institute of Measurement and Control 39, no. 4 (2016): 398–403. http://dx.doi.org/10.1177/0142331216672918.

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Flexible and stretchable electronics technologies have been attracting increasing attention owing to their potential applications in personal consumed electronics, wearable human–machine interfaces (HMI) and the Internet of Things (IoTs). This paper proposes an HMI based on a polyvinylidene difluoride (PVDF) sensor and laminated it onto the surface of the skin for signal classification and controlling the motion of a mobile robot. The PVDF sensor with ultra-thin stretchable substrate can make conformal contact with the surface of the skin for more accurate measurement of the electrophysiological signal and to provide more accurate control of the actuators. Microelectro-mechanical system (MEMS) technologies and transfer printing processes are adopted for fabrication of the epidermal PVDF sensor. Sensors placed on two wrists would generate two different signals with the fist clenched and loosened. It can be classified into four signals with a combination of the signals from both wrists, i.e. four control modes. Experiments demonstrated that PVDF sensors may be used as an HMI to control the motion of a mobile robot remotely.

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Haryanto, Heri, and Sarif Hidayat. "Perancangan HMI (Human Machine Interface) Untuk Pengendalian Kecepatan Motor DC." Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer 1, no. 2 (2016): 58. http://dx.doi.org/10.36055/setrum.v1i2.476.

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Laport, Francisco, Daniel Iglesia, Adriana Dapena, Paula M. Castro, and Francisco J. Vazquez-Araujo. "Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces." Sensors 21, no. 6 (2021): 2220. http://dx.doi.org/10.3390/s21062220.

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Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated with the user’s intentions. In this work, we have designed two different approaches based on Electroencephalography (EEG) and Electrooculography (EOG). For both cases, signal acquisition is performed using only one electrode, which makes placement more comfortable compared to multi-channel systems. We have also developed a Graphical User Interface (GUI) that presents objects to the user using two paradigms—one-by-one objects or rows-columns of objects. Both interfaces and paradigms have been compared for several users considering interactions with home elements.

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Pratumsuwan, Pornjit, and Anan Suebsomram. "A Development of Human Machine Interface in a Miniature 3-Axis Milling Machine Prototyping." Applied Mechanics and Materials 565 (June 2014): 120–25. http://dx.doi.org/10.4028/www.scientific.net/amm.565.120.

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This paper presents a development of human machine interface (HMI) which was applied to a miniature 3-axis milling machine prototyping. The development began with the study and design of a milling machine. Then, virtual prototyping, this stage is the integration of aided design, programming design, and simulation design to demonstration the functionality of the virtual machine in a computer environment. After that, the virtual prototype which was verified and optimized to be used a physical prototyping. Finally, links the virtual and physical together. The experimental results show that a performance of proposed HMI in a machine prototyping was satisfactory.

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Zhai, Zhen Kun, Di Li, Song Li, and Chun Hua Zhang. "Research on Reuse-Oriented Intellectual Development Method for CNC Human-Machine Interface." Advanced Materials Research 468-471 (February 2012): 2672–77. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2672.

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To improve the productivity of HMI development, this paper proposes an intelligent development method for human-machine interface of CNC according to software reuse theory, of which the core technology consists of configurable intelligent development framework for HMI and functional component library. For the development framework, it includes customized interface editing environment, middle-layer model and automatic code generation engine. As to the design of functional component library, component object model (COM) is used to create various components which can be classified into graphic primitive components, CNC system function components, interpreter components and so on. By use of the component interface, development framework communicates with the above mentioned component and is responsible for the assembly and integration of components through which the complex HMI system is automatically generated. Based on the intelligent method, developers can realize the automatic development of human-machine interface, which will ensure product quality and improve the development efficiency.

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Ma, Ming Kun, Jia Zhang, Jun Chen, Dong Hui Liu, and Geng Huang Yang. "Portable Monitoring Instrument Based on ARM and LINUX." Applied Mechanics and Materials 333-335 (July 2013): 2380–83. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2380.

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Man-machine interface (Human Machine Interface, HMI) is known as the man-machine interface, which is the transmission of information between human and computer media.And it plays an important role in computer system design. Man-machine interface as an independent field of study is pay attention to the world widely. From the perspective of the development of computer technology, man-machine interface guide the development of the related hardware and software.

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Lange, Katharina. "HMI-Lösungen: Leicht, ergonomisch, funktional." VDI-Z 161, no. 04 (2019): 80–81. http://dx.doi.org/10.37544/0042-1766-2019-04-80.

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Digitale Endgeräte werden immer kompakter und leichter. Dieser Trend macht auch vor industriellen HMI (Human Machine Interface)-Lösungen wie Steuergehäusen und Panel PCs nicht Halt. Rose Systemtechnik hat dieser Entwicklung Rechnung getragen und das flexible Höhenverstellsystem „GTV“ um die Version „light“ für Lasten bis 25 kg ergänzt. Die Drehneigekupplung setzt weitere Akzente für zeitgemäße Bedienkonzepte.

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Musabini, Antonyo, Kevin Nguyen, Romain Rouyer, and Yannis Lilis. "Influence of Adaptive Human–Machine Interface on Electric-Vehicle Range-Anxiety Mitigation." Multimodal Technologies and Interaction 4, no. 1 (2020): 4. http://dx.doi.org/10.3390/mti4010004.

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The electrification of vehicles is without a doubt one of the milestones of today’s automotive technology. Even though industry actors perceive it as a future standard, acceptance, and adoption of this kind of vehicles by the end user remain a huge challenge. One of the main issues is the range anxiety related to the electric vehicle’s remaining battery level. In the scope of the H2020 ADAS&ME project, we designed and developed an intelligent Human Machine Interface (HMI) to ease acceptance of Electric Vehicle (EV) technology. This HMI is mounted on a fake autonomous vehicle piloted by a hidden joystick (called Wizard of Oz (WoZ) driving). We examined 22 inexperienced EV drivers during a one-hour driving task tailored to generate range anxiety. According to our protocol, once the remaining battery level started to become critical after manual driving, the HMI proposed accurate coping techniques to inform the drivers how to reduce the power consumption of the vehicle. In the following steps of the protocol, the vehicle was totally out of battery, and the drivers had to experience an emergency stop. The first result of this paper was that an intelligent HMI could reduce the range anxiety of the driver by proposing adapted coping strategies (i.e., transmitting how to save energy when the vehicle approaches a traffic light). The second result was that such an HMI and automated driving to a safe spot could reduce the stress of the driver when an emergency stop is necessary.

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McWilliams, Thomas, Bruce Mehler, Bobbie Seppelt, and Bryan Reimer. "Driving Simulator Validation for In-Vehicle Human Machine Interface Assessment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 2104–8. http://dx.doi.org/10.1177/1071181319631438.

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Driving simulator validation is an important and ongoing process. Advances in in-vehicle human machine interfaces (HMI) mean there is a continuing need to reevaluate the validity of use cases of driving simulators relative to real world driving. Along with this, our tools for evaluating driver demand are evolving, and these approaches and measures must also be considered in evaluating the validity of a driving simulator for particular purposes. We compare driver glance behavior during HMI interactions with a production level multi-modal infotainment system on-road and in a driving simulator. In glance behavior analysis using traditional glance metrics, as well as a contemporary modified AttenD measure, we see evidence for strong relative validity and instances of absolute validity of the simulator compared to on-road driving.

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Awtoniuk, Michał, Łukasz Ślizak, and Marcin Daniun. "AUTOTUNING OF PID CONTROLLER BY MEANS OF HUMAN MACHINE INTERFACE DEVICE." Journal of Technology and Exploitation in Mechanical Engineering 2, no. 1 (2016): 26–31. http://dx.doi.org/10.35784/jteme.513.

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More and more control systems are based on industry microprocessors like PLC controllers (Programmable Logic Controller). The most commonly used control algorithm is PID (Proportional-Integral-Derivative) algorithm. Autotuning procedure is not available in every PLC. These controllers are typically used in cooperation with HMI (Human Machine Interface) devices. In the study two procedures of autotuning of the PID controller were implemented in the HMI device: step method and relay method. Six tuning rules for step methods and one for relay method were chosen. The autotuning procedures on simulated controlled object and PLC controller without build-in autotuning were tested. The object of control was first order system plus time delay.

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Lorenz, Sebastian, Jens R. Helmert, Ruben Anders, Christian Wölfel, and Jens Krzywinski. "UUX Evaluation of a Digitally Advanced Human–Machine Interface for Excavators." Multimodal Technologies and Interaction 4, no. 3 (2020): 57. http://dx.doi.org/10.3390/mti4030057.

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With the evaluation of a next-generation human–machine interface (HMI) concept for excavators, this study aims to discuss the HMI quality measurement based on usability and user experience (UUX) metrics. Regarding the digital transformation of construction sites, future work environments will have to be capable of presenting various complex visual data and enabling efficient and safe interactivity while working. The evaluated HMI focused on introducing a touch display-based interface, providing advanced operation functions and different interaction modalities. The assessment of UUX should show whether the novel HMI can be utilised to perform typical tasks (usability) and how it is accepted and assessed in terms of non-instrumental qualities (user experience, UX). Using the collected data, this article also aims to contribute to the general discussion about the role of UX beyond usability in industrial applications and deepen the understanding of non-instrumental qualities when it comes to user-oriented process and machine design. The exploratory study examines insights into the application of elaborated UUX measuring tools like the User Experience Questionnaire (UEQ) on the interaction with industrial goods accompanied by their rating with other tools, namely System Usability Scale (SUS), Intuitive Interaction Questionnaire (INTUI) and the National Aeronautics and Space Administration (NASA) Task Load Index (NASA-TLX). Four goals are pursued in this study. The first goal is to compare in-depth two different ways of interaction with the novel HMI—namely one by a control pad on the right joystick and one by touch. Therefore, a sample of 17 subjects in total was split into two groups and differences in UUX measures were tested. Secondly, the performances of both groups were tested over the course of trials to investigate possible differences in detail. The third goal is to interpret measures of usability and user experience against existing benchmark values. Fourth and finally, we use the data gathered to analyse correlations between measures of UUX. The results of our study show that the different ways of interaction did not impact any of the measures taken. In terms of detailed performance analysis, both groups yielded differences in terms of time per action, but not between the groups. The comparison of UUX measures with benchmark values yielded mixed results. The UUX measures show some relevant significant correlations. The participants mostly reported enjoying the use of the HMI concept, but several practical issues (e.g., efficiency) still need to be overcome. Once again, the study confirms the urge of user inclusion in product development. Especially in the course of digitalisation, as big scale advancements of systems and user interfaces bring uncertainty for many manufacturers regarding whether or how a feature should be integrated.

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Williamson, Rebecca, Yu Zhang, Bruce Mehler, and Ying Wang. "Challenges and Opportunities in Developing Next Generation In-Vehicle HMI Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 2115–16. http://dx.doi.org/10.1177/1071181319631516.

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The next generation of automotive human machine interface (HMI) systems is expected to be heavily dependent upon artificial intelligence; from autonomous driving to speech assistance, from gesture & touch-enabled interfaces to web & mobile integration. Smooth, safe, and user-friendly interaction between the driver and the vehicle is a key to winning market share. This panel aims to discuss challenges and opportunities for the next generation of automotive HMI from the perspective of human factors and user behavior. Panelists from industry and academia will offer their unique perspectives on the concerns and opportunities in developing future in-vehicle HMIs.

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Liu, Yi, Ya Tao Zhao, Yu Yong Zhou, and Jia Liu. "HMI Engineering Software Automation in UHVDC Transmission Project of Design and Implementation." Advanced Materials Research 846-847 (November 2013): 258–63. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.258.

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Considering the characteristics of UHVDC(Ultra High Voltage Direct Current) transmission in HMI (Human Machine Interface), this paper discusses the engineering design plan of HMI software for UHVDC transmission project in detail. Especially speaking, this paper focuses on how to carry out robotics solutions which include automatic interface generation, auto correlation between the interface and database data, and the function of system error correction, etc. Finally, an engineering solution based on data driven project is presented for the future domains of DC transmission HMI.

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Song, Min-Su, Sung-Gu Kang, Kyu-Tae Lee, and Jeonghyun Kim. "Wireless, Skin-Mountable EMG Sensor for Human–Machine Interface Application." Micromachines 10, no. 12 (2019): 879. http://dx.doi.org/10.3390/mi10120879.

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The development of advanced technologies for wireless data collection and the analysis of quantitative data, with application to a human–machine interface (HMI), is of growing interest. In particular, various wearable devices related to HMIs are being developed. These devices require a customization process that considers the physical characteristics of each individual, such as mounting positions of electrodes, muscle masses, and so forth. Here, the authors report device and calculation concepts for flexible platforms that can measure electrical signals changed through electromyography (EMG). This soft, flexible, and lightweight EMG sensor can be attached to curved surfaces such as the forearm, biceps, back, legs, etc., and optimized biosignals can be obtained continuously through post-processing. In addition to the measurement of EMG signals, the application of the HMI has stable performance and high accuracy of more than 95%, as confirmed by 50 trials per case. The result of this study shows the possibility of application to various fields such as entertainment, the military, robotics, and healthcare in the future.

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Yudha, Fitroh Anugrah Kusuma, and Bambang Riyanta. "Perancangan dan Simulasi Trainer Human Machine Interface (HMI) untuk media pembelajaran berbasis CX Designer PLC." JMPM (Jurnal Material dan Proses Manufaktur) 4, no. 2 (2020): 136–45. http://dx.doi.org/10.18196/jmpm.v4i2.10607.

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Penelitian ini bertujuan untuk membuat rancangan media pembelajaran pada mata kuliah Programmable Logic Controller (PLC) berupa trainer Human Machine Interface (HMI) berbasis CX Designer yang terintergrasi dengan CX-Programmer. Desain HMI yang tepat akan membuat pengujian program lebih mudah dan efisien. Sebagai media pembelajaran HMI memberikan efektifitas informasi yang dibutuhkan, sehingga perencanaan dapat dilakukan dengan efisiensi yang maksimal. Metode penelitian yang digunakan adalah metode eksperimental dan pembuatan rancangan produk berupa trainer untuk penguji program oleh mahasiswa atau operator. Dapat disimpulkan hasil dari penelitian ini bahwa penggunaan simulasi HMI berbasis CX Disigner dapat digunakan untuk memahami logika rangkaian suatu program dengan sangat mudah dan cepat untuk melatih ketrampilan pemograman PLC.

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Buckley, Edward, Dominik Stindt, and Robert Isele. "14.4: Novel Human-Machine Interface (HMI) Design Enabled by Holographic Laser Projection." SID Symposium Digest of Technical Papers 40, no. 1 (2009): 172. http://dx.doi.org/10.1889/1.3256669.

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Singh, Gurpreet, and Surekha Rani. "Design and Implementation of Embedded-Human Machine Interface (HMI) using PIC24FJ256DA210 Microcontroller." International Journal of Computer Applications 61, no. 18 (2013): 1–5. http://dx.doi.org/10.5120/10025-4947.

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Fitriani, S., and Y. Sofyan. "Simulator Human Machine Interface (HMI) using visual basic on the SCADA system." IOP Conference Series: Materials Science and Engineering 830 (May 19, 2020): 032016. http://dx.doi.org/10.1088/1757-899x/830/3/032016.

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Koo, T.-Y., C.-H. Bae, B.-Y. Kim, Z. Rowland, and M.-W. Suh. "Development of a driving simulator for telematics human—machine interface studies." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 222, no. 11 (2008): 2077–86. http://dx.doi.org/10.1243/09544070jauto863.

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Driving simulators are useful tools not only to test the components of future cars but also to evaluate the telematics service and human—machine interface (HMI). However, driving simulators available at present cannot be implemented to test and evaluate the telematics service system as the global positioning system (GPS), which contains basic functional support for the telematics module, does not work in the virtual reality environment. In this paper, a GPS simulator is developed which is able to emulate GPS satellite signals, consisting of the NMEA-0183 protocol and RS232C communication standards, and thereby presenting a method of implementing a telematics service for a driving simulator. It is expected that the driving simulator, together with the GPS simulator, can be used to study the HMI for evaluation of commercial telematics systems in order to realize the human-in-the-loop evaluation systems.

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Cheng, Shou Yu, Xin Kai Liu, and Min Jun Peng. "The Development and Design of Human Machine Interface of the Monitor & Control System for Nuclear Power Plants." Applied Mechanics and Materials 121-126 (October 2011): 4156–60. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4156.

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The Human Machine Interface (HMI) of Monitor& Control System (MCS) is an important part of main control room in Nuclear Power Plants (NPP). The MCS is integrated by networks, digital computers and computer software. The paper discusses a new design mode for the HMI of MCS in Nuclear Power Plants. How to make the MCS information available is the focus of the HMI research. The paper discusses the design and research about the main layout and functions of the HMI. In order to verify and validate the design of HMI, the HMI of MCS is developed by a configuration software of JADE. HMI debugged with the NPP simulator. The Test illustrates that the HMI can help the operators to get very important information from MCS, which help the operators to operate the nuclear plant safely and reduces the human error.

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Mariani, Eni Mariani, and Hastuti Hastuti. "Kendali Motor Induksi 3 Fasa Menggunakan Arduino Mega Berbasis HMI (Human Machine Interface)." JTEIN: Jurnal Teknik Elektro Indonesia 1, no. 2 (2020): 179–86. http://dx.doi.org/10.24036/jtein.v1i2.70.

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Motor induksi 3 Fasa merupakan jenis motor yang paling banyak digunakan untuk menggerakan berbagai beban/mesin. Dalam instalasinya, motor induksi 3 fasa dengan daya besar memerlukan rangkaian starting dan kendalinya seperti untuk membalik arah putaran, pengaturan kecepatan dan sebagainya Kecepatan motor induksi dapat dikontrol dengan memvariabelkan input frekuensi ke motor AC 3 phasa yang digunakan. Pengaturan nilai masukan frekuensi pada motor induksi bisa dilakukan dengan menggunakan Inverter. Inverter akan mengubah DC ke AC yang kemudian diatur dengan suatu teknik penyaklaran ‘switching‘ mengubah DC menjadi tegangan dan frekuensi keluaran AC yang bervariasi. Inverter yang digunakan ialah jenis PWM menggunakan MOSFET tipe IRP460N. Frekuensi dapat diatur dan diubah melalui tampilan layar LCD HMI yang support terhadap mikrokontroller Arduino UNO dan Arduino MEGA . HMI (human machine interface) adalah suatu teknologi komunikasi antara manusia atau operator sebuah mesin yang dapat mempermudah pengontrolan sistem yang bekerja. Pada tugas akhir ini digunakan modul 3.5 ILI9486 TFT LCD touch screen sebagai perangkat pendukung komunikasi operator ke mesin.

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KAZAMA, Keisuke, Yasutake HARAMIISHI, and Hiroshi MOURI. "J182012 An investigation of low pass filter for human machine interface systems." Proceedings of Mechanical Engineering Congress, Japan 2011 (2011): _J182012–1—_J182012–5. http://dx.doi.org/10.1299/jsmemecj.2011._j182012-1.

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Lagari, Pola Lydia, Antonia Nasiakou, and Miltiadis Alamaniotis. "Evaluation of Human Machine Interface (HMI) on a Digital and Analog Control Room in Nuclear Power Plants Using a Fuzzy Logic Approach." International Journal of Monitoring and Surveillance Technologies Research 4, no. 2 (2016): 50–68. http://dx.doi.org/10.4018/ijmstr.2016040104.

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Nuclear Power Plants (NPPs) are nowadays facing a transition from analog to digital control rooms, mainly in the form of new interfaces for displaying sensor information as of Human Machine Interface (HMI) were one-sided, taking into consideration either the human or the machine perspective. The approach presented in the present article considers human machine interfaces met in nuclear power plants as a joint system, where the performance of the NPP operator is evaluated according to the cooperation level achieved with the machine. In particular, the purpose of this study is to provide a methodology to evaluate the degree of flexibility of an operator during the transition period from an analog to a digital system. The proposed methodology has been implemented by utilizing fuzzy logic inference and realized with the fuzzy toolbox embedded in Matlab software.

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NIWA, Yuji. "Human machine interface today and tomorrow in nuclear power plants." Proceedings of the National Symposium on Power and Energy Systems 2002.8 (2002): 321–26. http://dx.doi.org/10.1299/jsmepes.2002.8.321.

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Munadi, Munadi, Bob Aditiyo, Moch Ariyanto, and Norman Iskandar. "PEMODELAN SMART HOUSE SYSTEM BERBASIS HUMAN MACHINE INTERFACE MENGGUNAKAN SOFTWARE LABVIEW DAN MIKROKONTROLER ARDUINO." ROTASI 17, no. 4 (2015): 175. http://dx.doi.org/10.14710/rotasi.17.4.175-181.

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Penghematan energi listrik menjadi trend penelitian dibidang energi. Salah satu usaha penghematan energi listrik untuk rumah tangga salah satunya adalah aplikasi smart house systems dimana saat ini sedang dikembangkan banyak pihak. Hal ini dikarenakan smart house systems dapat memberikan rasa kemudahan, kenyamanan, keamanan, selain dapat menghemat penggunaan energi listrik. Smart house systems merupakan sebuah sistem otomasi berbasis komputer yang berlangsung secara otomatis dan terprogram melalui komputer yang diaplikasikan pada peralatan rumah. Dalam perkembangannya, smart house systems didukung dengan aplikasi Human Machine Interface (HMI) sebagai user interface untuk mempermudah pengunaanya. Pada penelitian ini, telah dibuat model smart house system yang terintergrasi dengan HMI (LabView) untuk memonitor keadaan yang ada di depan rumah dengan CCTV, mengontrol pintu gerbang, lampu-lampu, atap jemuran, alarm kebocoran gas, serta alarm pencuri. Metode untuk sistem jaringan yang digunakan pada smart house systems ini menggunakan main server untuk penyimpanan program dan sebagai sistem kendali. Dengan menggunakan smart house systems, berdasarkan estimasi perhitungan yang dilakukan, dapat menghemat energi listrik sebesar 27,2 % karena semua peralatan elektronik yang ada di rumah dapat diatur jam kerjanya menggunakan HMI

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Chauhan, Krishna, and Sandeep Singh Padan. "Implementation of Low Cost Human Machine Interface (HMI) using Natural Feature Tracking (NFT)." International Journal of Computer Applications 86, no. 17 (2014): 18–21. http://dx.doi.org/10.5120/15077-3456.

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Pérez-Reynoso, Francisco David, Liliam Rodríguez-Guerrero, Julio César Salgado-Ramírez, and Rocío Ortega-Palacios. "Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot." Sensors 21, no. 17 (2021): 5882. http://dx.doi.org/10.3390/s21175882.

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People with severe disabilities require assistance to perform their routine activities; a Human–Machine Interface (HMI) will allow them to activate devices that respond according to their needs. In this work, an HMI based on electrooculography (EOG) is presented, the instrumentation is placed on portable glasses that have the task of acquiring both horizontal and vertical EOG signals. The registration of each eye movement is identified by a class and categorized using the one hot encoding technique to test precision and sensitivity of different machine learning classification algorithms capable of identifying new data from the eye registration; the algorithm allows to discriminate blinks in order not to disturb the acquisition of the eyeball position commands. The implementation of the classifier consists of the control of a three-wheeled omnidirectional robot to validate the response of the interface. This work proposes the classification of signals in real time and the customization of the interface, minimizing the user’s learning curve. Preliminary results showed that it is possible to generate trajectories to control an omnidirectional robot to implement in the future assistance system to control position through gaze orientation.

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Zhu, Minglu, Zhongda Sun, Zixuan Zhang, et al. "Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications." Science Advances 6, no. 19 (2020): eaaz8693. http://dx.doi.org/10.1126/sciadv.aaz8693.

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Human-machine interfaces (HMIs) experience increasing requirements for intuitive and effective manipulation. Current commercialized solutions of glove-based HMI are limited by either detectable motions or the huge cost on fabrication, energy, and computing power. We propose the haptic-feedback smart glove with triboelectric-based finger bending sensors, palm sliding sensor, and piezoelectric mechanical stimulators. The detection of multidirectional bending and sliding events is demonstrated in virtual space using the self-generated triboelectric signals for various degrees of freedom on human hand. We also perform haptic mechanical stimulation via piezoelectric chips to realize the augmented HMI. The smart glove achieves object recognition using machine learning technique, with an accuracy of 96%. Through the integrated demonstration of multidimensional manipulation, haptic feedback, and AI-based object recognition, our glove reveals its potential as a promising solution for low-cost and advanced human-machine interaction, which can benefit diversified areas, including entertainment, home healthcare, sports training, and medical industry.

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MN, Angga Septian, and Dian Megasari. "Analisis Sistem Human Interface (HMI) pada Kompetensi Programmable Logic Controller (PLC)." Jurnal Informatika Universitas Pamulang 5, no. 3 (2020): 328. http://dx.doi.org/10.32493/informatika.v5i3.6858.

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This analysis aims to determine the difference between Human Machine Interface (HMI) based learning media and conventional learning media in influencing student competence in operating the Programmable Logic Controller (PLC). The method used was a true experimental design with a posttest-only control group design. The experimental group was given learning treatment assisted by HMI Omron with the CX-Designer software, while the control group was given treatment with conventional learning media. The treatment effect was analyzed by using different test (Mann-Whitney). The results showed that the effect of HMI-based learning media on PLC competence is as follows: (1) 61% competence in the cognitive domain is in the very good category, 50% competence in the affective domain is in the very good category, and 50% competence in the psychomotor domain is in the very good category; and (2) There are competency differences between HMI-based learning media and conventional learning. This is evidenced by the Sig. Count value of 0.000 in the cognitive domain, 0.000 in the affective domain, and 0.001 in the psychomotor domain, which is smaller than the Sig. Of the study of 0.05 after being given treatment.

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Naujoks, Frederik, Sebastian Hergeth, Katharina Wiedemann, Nadja Schömig, and Andreas Keinath. "Use Cases for Assessing, Testing, and Validating the Human Machine Interface of Automated Driving Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 1873–77. http://dx.doi.org/10.1177/1541931218621426.

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Reflecting the increasing demand for harmonization of human machine interfaces (HMI) of automated vehicles, different taxonomies of use cases for investigating automated driving systems (ADS) have been proposed. Existing taxonomies tend to serve specific purposes such as categorizing transitions between automation modes; however, they cannot be generalized to different systems or combinations of systems. In particular, there is no exhaustive set of use cases that allows entities to assess and validate the HMI of a given ADS that takes into account all possible system modes and transitions. The present paper describes a newly developed framework based on combinatorics of SAE (Society of Automotive Engineers) automation levels that incorporates a comprehensive taxonomy of use cases required for the assessment and validation of ADS HMIs. This forms a much-needed basis for test methods required to verify whether an HMI meets minimum requirements such as those outlined in the National Highway Traffic Safety Administration’s Federal Automated Vehicles policy.

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Jizba, Tomáš. "INFLUENCE OF HMI ERGONOMY ON DRIVERS IN COOPERATIVE SYSTEMS AREA." Acta Polytechnica CTU Proceedings 12 (December 15, 2017): 42. http://dx.doi.org/10.14311/app.2017.12.0042.

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Modern vehicles are getting smarter and utilize more and more the advantages of Advanced Driver Assistance Systems (ADAS). Deployment of upcoming technologies, such as cooperative systems (V2X), will most likely be the key step towards a significant reduction of accidents across the globe. Some of these systems extend driver’s field of vision, so the driver can be forewarned against a wide range of threats. Unlike technology, the human processing capacity has remained almost unchanged over centuries. Therefore, it is necessary to bear in mind that drivers have restricted capabilities to process multiple warnings. In this context, an important question arises: How can be V2X warnings integrated into the Human Machine Interface (HMI) of vehicles, and what warning policy is needed to ensure high usability, acceptance, efficiency and understanding of such a warning interface from the driver’s point of view. Using a human centered design approach, two concepts of visual driver-vehicle interface for V2X warnings were developed and evaluated. One of those interfaces was based on a 1-stage warning policy and the second one utilized a dynamic 3-stage warning approach. The research revealed that drivers prefer to have dynamic warnings that correspond with the level of danger to which they are exposed, rather than only one warning displayed in a situation of imminent danger. However, with regards to overall usability score and workload measurements, results showed that the 3-stage system performed worse in comparison with the 1-stage system.

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Si, Qing Hua, Hai Bo Xu, Jun Xu, Gao Yang Xu, and Zhen Feng Ye. "Application of Modbus Protocol in the Automatic Safety Device." Advanced Materials Research 1070-1072 (December 2014): 765–69. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.765.

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The traditional HMI ( human-machine interface ) of automatic safety device is lack of beauty and friendship. With the development of smart grid, there are more and more high requirements of the HMI. The automatic safety device was divided into the HMI module and the device main body. An industrial touch screen which supports for Modbus protocol, was selected as the HMI module of the automatic safety device. The HMI data was extracted into the standard data of Modbus protocol, and mapped to the unified address space of Modbus protocol. Modbus RTU mode was used to achieve the data communication between the HMI module and the device main body. This method not only makes the display content richer, interface more user-friendly, but also makes the product development cycle shorter and the product more scalable.

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Yan, Sheng Yuan, Yu Chen, and Wen Long Chen. "An Intelligent Algorithm Method of Element Layout Priority Sequence on Consoles Human Machine Interface." Advanced Materials Research 712-715 (June 2013): 2441–46. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2441.

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To objectively determine layout priority sequence of element in human machine interface (HMI), and avoid the result difference induced in applying empirical method by different persons and keeping traceability of layout process, intelligent algorithm based on layout priority sequence for HMI was presented in this paper. With importance, operating frequency, operating sequence and reliability in ergonomics principles taken as parameters, the objective function model of layout priority sequence was made up based on ant colony algorithm. It was certificated in the main control room of a nuclear power plant, which layout priority sequence was acquired using the established objective function model. The experiment show that layout priority sequence deduced through the algorithm is a unique one. Its process is traceable, and it advantages than current methods.

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Monika, Dezetty. "Miniature Penentuan Kesediaan Parkir Otomatis 3 Lantai Berbasis PLC Dan HMI." ELECTRICES 3, no. 1 (2021): 21–27. http://dx.doi.org/10.32722/ees.v3i1.3919.

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Tempat parkir merupakan salah satu fasilitas yang harus memadai dan nyaman bagi penghuni yang memiliki kendaraan. Pada kenyataannya, saat ini sistem parkir yang digunakan masih bermasalah. Masalah yang ditimbulkan dalam sistem parkir adalah kurangnya informasi mengenai lahan parkir yang kosong serta penempatan kendaraan yang tidak sesuai sehingga sering kali pemilik kendaraan membutuhkan waktu yang lama untuk sekedar menemukan tempat parkir yang kosong. Berdasarkan hal itu diperlukan sebuah sistem monitoring parkir yang memudahkan pengendara kendaraan yang hendak parkir. PLC (Programmable Logic Controller) adalah suatu alat berbasis mikroprosesor yang dapat diprogram untuk mengontrol dan mengendalikan proses mesin secara otomatis. Tujuan penelitian ini adalah merancang dan membuat miniatur sistem parkir bertingkat otomatis dengan menggunakan kendali berbasis PLC (Programmable Logic Controller) dan HMI (Human Machine Interface). Pembuatan miniatur tempat parkir bertingkat jumlah 12 ruang parkir dengan ukuran miniature yaitu tinggi 80 cm, lebar 45 cm dan panjang 60 cm. Sistem Human Machine Interface (HMI) sebagai interface atau tampilan penghubung antara manusia dengan mesin untuk menjalankan dan mengontrol alat yang sudah dibuat. Hasil tampilan tersedianya lahan parkir akan tampil di layar LCD. Pada tampilan LCD, pengendara kendaraan dapat memilih lantai dan posisi tempat parkir, serta mengetahui jika lahan parkir penuh.

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Singh, Harsh V. P., and Qusay H. Mahmoud. "Evaluation of ARIMA Models for Human–Machine Interface State Sequence Prediction." Machine Learning and Knowledge Extraction 1, no. 1 (2019): 287–311. http://dx.doi.org/10.3390/make1010018.

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In this paper, auto-regressive integrated moving average (ARIMA) time-series data forecast models are evaluated to ascertain their feasibility in predicting human–machine interface (HMI) state transitions, which are modeled as multivariate time-series patterns. Human–machine interface states generally include changes in their visually displayed information brought about due to both process parameter changes and user actions. This approach has wide applications in industrial controls, such as nuclear power plant control rooms and transportation industry, such as aircraft cockpits, etc., to develop non-intrusive real-time monitoring solutions for human operator situational awareness and potentially predicting human-in-the-loop error trend precursors.

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Shi, Qiongfeng, Zixuan Zhang, Tao Chen, and Chengkuo Lee. "Minimalist and multi-functional human machine interface (HMI) using a flexible wearable triboelectric patch." Nano Energy 62 (August 2019): 355–66. http://dx.doi.org/10.1016/j.nanoen.2019.05.033.

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Kurniawan, Kurniawan, Abdul Hamid Budiman, Ferri Hermawan, and Anton Rahmawan. "Design of Control and Human Machine Interface (HMI) for Proton Exchange Membrane Fuel Cell." Indonesian Journal of Energy 3, no. 1 (2020): 12–18. http://dx.doi.org/10.33116/ije.v3i1.46.

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Fuel cell is an electrochemical device that converts hydrogen and oxygen produces electrical energy continuously, water and heat as by product, which simultaneously. Proton Exchange Membrane Fuel Cell (PEMFC) operates with polymer electrolytes which are thin and proton permeable. Designing the control system, it is expected that the fuel cell operation could be in accordance with the predetermined process parameter design. In addition to the control system for fuel cell operations, a fuel cell protection or security system design is also carried out during operation in real condition. Referring to the block diagram or control system architecture and fuel cell operations that have been made, a detailed design will be made as a reference for the prototype of the control and protection system for operational and fuel cell testing and controlling. Making Standard operation procedure (SOP) is very helpful in the operation and avoids operating errors that can damage and harm caused.Keywords: PEMFC, control system, HMI, SOP*The paper has been selected from a collaboration with IPST and 7th ICFCHT 2019 for a conference entitled "Innovation in Polymer Science and Technology (IPST) 2019 in Conjunction with 7th International Conference on Fuel Cell and Hydrogen Technology (ICFCHT 2019) on October 16th - 19th at The Stones Hotel Legian, Bali, Indonesia"

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Rahadian, Helmy, and M. Ary Heryanto. "Pengembangan Human Machine Interface (HMI) pada Simulator Sortir Bola sebagai Media Pembelajaran Otomasi Industri." JURNAL NASIONAL TEKNIK ELEKTRO 9, no. 2 (2020): 84. http://dx.doi.org/10.25077/jnte.v9n2.766.2020.

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Wiguna, Esa Hayyu, and Arkhan Subari. "RANCANG BANGUN SISTEM MONITORING KETINGGIAN AIR DAN KELEMBABAN TANAH PADA PENYIRAM TANAMAN OTOMATIS DENGAN HMI (HUMAN MACHINE INTERFACE) BERBASIS RASPBERRY PI MENGGUNAKAN SOFTWARE NODE-RED." Gema Teknologi 19, no. 3 (2017): 1. http://dx.doi.org/10.14710/gt.v19i3.21878.

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Esa Hayyu Wiguna, Arkhan Subari, in this paper explain that the monitoring system is a system used to monitor and control work processes in a plant design. This system is widely used and applied in the industrial world to find out the performance of a plant. To do the monitoring system, a lot of software can be used, which is then called the HMI (Human Machine Interface). The monitoring system with an interface in the form of HMI can be presented in various forms, such as buttons, or can also be displayed in the visualization of the plant while working. This monitoring system through an HMI interface uses supporting hardware in the form of a Raspberry Pi as a device to process the data that will be displayed on the display screen, while displaying its visualization uses an LCD touch screen. This LCD touch screen is connected to the Raspberry Pi via the LCD driver. The graphic form that will be displayed on the LCD touch screen is designed using Node-RED software. The visualization that will be displayed on the Touch Screen LCD will be adjusted to the working system of automatic plant sprinklers. This monitoring system using an HMI interface can display the plant's working system through indicators of water level and soil moisture. To test tube 2 water level measured through ultrasonic sensors through HMI has an error ratio of 1.01%, while for soil moisture measured through soil moisture sensors has an error ratio of 1.51%. Keywords: Monitoring System, Human Machine Interface (HMI), Raspberry Pi, Node-RED. ReferencesHaryanto, Heri dan Sarif Hidayat. 2012. Perancangan HMI (Human Machine Interface) Untuk Pengendalian Kecepatan Motor DC. Jurnal S1 Jurusan Elektro Fakultas Teknik Terpublikasi. Banten: Universitas Sultan Ageng Tirtayasa.Udayana, Gede Agus, I Gede Mahendra Darmawiguna, dan I Made Gede Sumarya. 2016. Pengembangan Prototipe Portal Otomatis Dengan Pendeteksian Plat Nomor Kendaraan Berbasis Raspberry Pi. Artikel Jurusan Pendidikan Teknik Informatika Terpublikasi. Bali: Universitas Pendidikan Ganesha.Man, Joseph. 2016. Raspberry Pi 3 Model B Technical Specifications. https://www.element14.com/community/docs/DOC-80899/l/raspberry-pi-3-model-b-technical-specifications. Diakses tanggal 14 Agustus 2017.Kurniawan, Halim. 2005. Aplikasi Penjawab Pesan Singkat Automatis dengan Bahasa Python. Makalah Seminar Tugas Akhir S1 Jurusan Teknik Elektro Terpublikasi. Semarang: Universitas Diponegoro.Node-RED. 2013. Node-RED; Flow-based programming for the Internet of Things. https://nodered.org/. Diakses tanggal 02 Mei 2017.Tim J, M. 2016. Developing with Node-RED. https://software.intel.com/en-us/articles/developing-with-node-red. Diakses tanggal 02 Mei 2017.

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ISHIDA, Hiroshi. "F111002 Olfaction and its Applications to Human-Machine Interface." Proceedings of Mechanical Engineering Congress, Japan 2014 (2014): _F111002–1—_F111002–4. http://dx.doi.org/10.1299/jsmemecj.2014._f111002-1.

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Journal articles on the topic 'Human-machine interface HMI'

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