基于物联网工程评估的电力采集系统错位更换操作错误的故障监测方法

IF 0.9 Q4 TELECOMMUNICATIONS Internet Technology Letters Pub Date : 2024-04-02 DOI:10.1002/itl2.521
Yinghui Lu, Jiyang Zhu
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引用次数: 0

摘要

随着物联网(IoT)技术的快速发展,电力采集系统已广泛应用于各个领域。它可以将各种物品连接到互联网上,实现对设备的远程监控和维护。在用电采集系统的运行过程中,可能会因为各种原因出现错位等问题,导致数据采集出现误差,影响系统的准确性和稳定性。如何及时监测系统的运行误差并进行更换和维修,成为亟待解决的问题。故障定位算法可以准确诊断故障原因,并提供相应的维修建议,从而降低维护成本,优化电力采集系统的效率。本文将基于物联网工程分析,分析电力采集系统错位更换运行误差的监测方法,并利用故障定位算法对其错位进行定位。研究结果表明,在其他条件相同的情况下,X 系统的满意度总分为 253 分,Y 系统的满意度总分为 141 分。X 系统的得分远高于 Y 系统。结果表明,物联网工程分析可以优化因电力采集系统更换不准确而导致的操作失误的监控方法,两者之间存在正相关关系。
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Fault monitoring method for misalignment replacement operation error of electricity acquisition system based on internet of things engineering evaluation

With the rapid development of Internet of Things (IoT) technology, electricity collection systems have been widely used in various fields. It can connect various items to the internet and achieve remote monitoring and maintenance of devices. During the operation of the electricity collection system, there may be issues such as misalignment due to various reasons, which can lead to errors in data collection and affect the accuracy and stability of the system. How to timely monitor the operational errors of the system and replace and repair them has become an urgent problem to be solved. The fault location algorithm can accurately diagnose the cause of the fault and provide corresponding repair suggestions, thereby reducing maintenance costs and optimizing the efficiency of the electricity collection system. This article would analyze the monitoring method for the misalignment replacement operation error of the power acquisition system based on IoT engineering analysis, and used fault location algorithms to locate its misalignment. The research results indicated that, under the same other conditions, the total satisfaction score of the X system was 253 points, and the total satisfaction score of the Y system was 141 points. The score of the X system was much higher than that of the Y system. The results indicated that IoT engineering analysis could optimize the monitoring method for operational errors caused by inaccurate replacement of electricity acquisition systems, and there was a positive relationship between the two.

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