Power transformer fault diagnosis system based on Internet of things

Abstract

The invention discloses a power transformer fault diagnosis system based on the Internet of things. The system comprises a mobile terminal PC, a plurality of substations and a plurality of node monitoring modules. The node monitoring modules are connected to the mobile terminal PC through a network module and comprise multiple detection sensors which are provided with GPS positioned. The detection sensors are connected to a signal amplification circuit which is connected to an AD converter which is connected to a central processor. The central process or is connected to the network module. According to the system, the real-time monitoring investigation of each data in a transformer can be carried out, the risk of accidents is reduced greatly, the efficiency and span of data transmission are raised by using a network design, the efficiency of monitoring diagnosis is improved, and the system is easy to popularize.

Description

technical field [0001] The invention relates to the field of detection systems, in particular to a power transformer fault diagnosis system based on the Internet of Things. Background technique [0002] With the development of the national economy, the power industry is growing rapidly, and the installed capacity and grid scale are increasing day by day. A large-scale equipment system is often composed of a large number of working parts, and different parts are related to each other and closely coupled. The automation level of the system has been improved, which has brought considerable economic benefits to production. On the other hand, due to the sharp increase in factors affecting the operation of the system, the potential for failure or failure is increasing. The failure of a component often causes a chain reaction, causing the entire system or even the entire production process to fail to operate normally or even paralyzed. At present, oil is almost used for insulation ...

AI Technical Summary

Problems solved by technology

The failure of a component often causes a chain reaction, causing the entire system or even the entire production process to fail to operate normally or even paralyzed. At present, oil is almost used for insulation and heat dissipation. Transformer oil and solid organic insulating materials in the oil are due to Various factors such as electricity, heat, oxidation, and partial arc will gradually deteriorate and crack into low-molecular gas. The latent overheating or discharge fault inside the transformer will accelerate the rate of gas production. Therefore, to solve the above problems, an IoT-based Power Transformer Fault Diagnosis System

Images