Abstract
Transformer is the most important equipment in the power system. The research and development of fault diagnosis technology for Internet of Things equipment can effectively detect the operation status of equipment and eliminate hidden faults in time, which is conducive to reducing the incidence of accidents and improving people's life safety index.ObjectiveTo explore the utility of Internet of Things in power transformer fault diagnosis system.MethodsA total of 30 groups of transformer fault samples were selected, and 10 groups were randomly selected for network training, and the rest samples were used for testing. The matter-element extension mathematical model of power transformer fault diagnosis was established, and the correlation function was improved according to the characteristics of three ratio method. Each group of power transformer was diagnosed for four months continuously, and the monitoring data and diagnosis were recorded and analyzed result. GPRS communication network is used to complete the communication between data acquisition terminal and monitoring terminal. According to the parameters of the database, the working state of the equipment is set, and various sensors are controlled by the instrument driver module to complete the diagnosis of transformer fault system.ResultsThe detection success rate of the power transformer fault diagnosis system model established in this paper is as high as 95.6%, the training error is less than 0.0001, and it can correctly identify the fault types of the non training samples. It can be seen that the technical support of the Internet of Things is helpful to the upgrading and maintenance of the power transformer fault diagnosis system.
Highlights
In the power supply system, transformer plays an important role in power production and transmission
A total of 30 groups of transformer fault samples are selected, and 10 groups are randomly selected for network training, and the remaining samples are used for testing
5 Conclusion This paper mainly expounds the combination of Internet of Things and smart grid technology and the role of Internet of Things technology in power maintenance, analyzes the use of power transformer and its fault diagnosis system, and focuses on general packet radio service (GPRS) communication module and fault diagnosis module in data acquisition terminal, and deeply explores transformer fault diagnosis and data management subsystem based on information fusion technology
Summary
In the power supply system, transformer plays an important role in power production and transmission. If the transformer breaks down suddenly in the process of operation, it will cause serious harm to human safety and economic property. It is of great value to improve the specific monitoring and troubleshooting of transformers. The application of the Internet of Things to the power system can improve the basic network of power transmission and communication, and enhance the security and stability of its transmission and communication network. The Internet of Things can withstand the power emergency in negative weather and improve the disaster resistance ability of the communication system. The Internet of Things will become an important way for the rapid development of information technology in the future
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EURASIP Journal on Wireless Communications and Networking
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
