Power transformer fault diagnosing system based on Internet of things and cloud computation

Abstract

The invention discloses a power transformer fault diagnosing system based on Internet of things and cloud computation. The power transformer fault diagnosing system comprises a monitoring module, a signal processing module, a DSP processor, an Internet of things module and a computer, wherein the signal processing module comprises a signal amplification circuit and an AD converter, the monitoring module is connected with the signal amplification circuit, the signal amplification circuit is connected with the AD converter, the AD converter is connected with the DSP processor, the DSP processor is connected with the Internet of things module, and the Internet of things module is connected with the computer. The power transformer fault diagnosing system can monitor all data in a transformer, and occurrence of dangerous accidents can be greatly reduced. Data transmission efficiency and span can be greatly increased by networking, and monitoring and diagnosing efficiency can be improved. The power transformer fault diagnosing system is worthy of promotion.

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 and cloud computing. 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 ...

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 with cloud computing is very necessary

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