Abstract

With the rapid increase of global population, the power load increases rapidly, and the electrical equipment such as generator, transformer, and power line in the power system is an important basis for production and life. Its safe operation is of great significance because it is related to people’s economic development and life stability. In recent years, with the rapid development of Internet of Things technology, the Internet of Things and electrical equipment safety early warning are combined to use their respective advantages to provide a new way for electrical equipment monitoring and early warning system. Through a variety of key technologies of the Internet of Things, such as sensor technology, network communication technology, and cloud computing technology, data, information exchange, and communication between electrical equipment and Internet technology are carried out according to the agreed protocol, and the safety of the operation status of electrical equipment is monitored in real time, so as to prevent power equipment failure and other problems. Based on this background, this paper studies the Internet of Things technology and electrical equipment monitoring and early warning system and analyzes its three-tier network architecture mode from the Internet of Things technology, namely, perception layer, network layer, and application layer. The combination of cloud computing and edge computing is studied and analyzed to provide theoretical support for the research of electrical equipment monitoring and safety early warning system. The wireless sensor network equipment is also installed on the electrical equipment through the Internet of Things technology to transmit data to the base station, so as to monitor whether the equipment operates safely. The monitoring and early warning system of wireless sensor system based on Internet of Things is given through case experiment. This system realizes relevant intelligent application services, which can not only ensure the stability of information transportation but also real-time monitoring of electrical equipment, early warning, shorten troubleshooting time, reduce the workload of power station staff, and achieve the functions of safety early warning, emergency command, and control. It is of great significance to the monitoring and early warning system of electrical equipment.

Highlights

  • Nowadays, electric energy is very important to human beings

  • Cloud computing technology is the intelligent equipment in the exponential substation. e equipment at each level is different. e equipment at the station control level mainly refers to the monitoring master station, engineer station, information substation, etc

  • Cloud computing can be understood as a kind of distributed computing. rough the network “cloud,” a large number of data computing and processing programs are decomposed into countless small processing programs, which are analyzed and processed through a system composed of multiple servers

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Summary

Introduction

Electric energy is very important to human beings. most power systems adopt unmanned monitoring mode, so the safety of electrical equipment operation is very important. Digital wireless temperature monitoring [21] and other equipment are mainly used for real-time monitoring of electrical equipment, power cables, connectors, capacitors, reactors, and other equipment, abandoning the regular maintenance and traditional temperature measurement methods under the traditional mode, such as temperature indicator measurement [22] and infrared temperature measurement [23], monitoring the operation data of electrical equipment in real time through Internet of ings technology and intelligent technology, and evaluating the operation status of equipment, so as to provide decision-making basis for electrical equipment maintenance and ensure its safety and stability Such a monitoring and early warning system saves a lot of human and material resources and has the characteristics of fast response, high precision, real-time online early warning, rapid fault location, no omission, and strong anti-interference ability. Intelligent system [24], efficient management, and comfortable and fast electrical equipment monitoring will bring significant economic benefits to the energy system. e application and development of Internet of ings technology in power system has a great impact

Development of
Intelligent Electrical Equipment Monitoring and Early Warning System
Background of economic and social development
Collaboration between Cloud Computing and Edge Computing
Security Monitoring Based on Wireless Sensor Network (WSN) Technology
Safety Prediction of the System Based on
Security Early Warning Based on Various Algorithms
BP Neural
Kalman-BP Neural Network Algorithm
Experimental Comparison and Analysis
For Prediction
Calculation Speed
Findings
Conclusion
Full Text
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