智能控制系统双通道能量监测的开发

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Shubham Devidas Gujar, S. Sulthana, A. Rajesh
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引用次数: 0

摘要

智能制造的快速增长导致所使用设备的功耗增加,并面临诸如设备误用,操作人员安全以及保护设备免受任何电气干扰或突然电涌等挑战。本文的目的是创建一个智能访问控制单元与双访问能源监测(DAEM)系统。在这里,设备被限制在其工作范围内由授权的个人使用。采用射频识别技术(RFID)和IEEE 802.11ac,设计定制分线板,实现了能量监测的访问控制。DAEM通过将电流、电压、有功功率、视在功率和功率因数等电气特性与其预设的警告和跳闸阈值进行比较来进行。使用DAEM可以防止电路过载,确保操作人员的安全。此外,电路中的计时器会在超时后自动断开负载与市电的连接,以防止不必要的能量浪费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of dual access energy monitoring for the smart control system
The rapid growth of smart manufacturing leads to an increase in the power consumption of the equipment used and has the challenges like misuse of equipment, operator safety, and protection of equipment from any electrical disturbances or sudden power surge. This paper aims in creating a smart access control unit with a Dual Access Energy Monitoring (DAEM) system. Here, the equipment is restricted to use by the authorized individual under its working limits. The access control for energy monitoring has been carried out using Radio Frequency Identification (RFID) and IEEE 802.11ac with the design of customized breakout board. The DAEM has been carried out by comparing the electrical characteristics like current, voltage, active power, apparent power, and power factor with their preset warning and trip threshold values. Using DAEM, the electrical circuit overload is prevented ensuring the operator’s safety. Moreover, the timer in the circuit will automatically disconnect the load from the mains after a timeout to prevent unnecessary wastage of energy.
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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