Research on On-Line Monitoring and Fault Recognition Technology of Intelligent Power Transformer Based on the Internet

In order to ensure the safety and reliability of power operation of transformer, this paper studies the on-line monitoring and fault recognition technology of intelligent power transformer based on the “Internet +”. The paper mainly completes the hardware and software design of the intelligent measurement and control terminal for on-line monitoring of state parameters, which includes transformer voltage, current, oil temperature, oil level, power, power factor, harmonics, load rate, transformer short-circuit impedance, hot spot temperature rise, etc. And design of online intelligent transformer monitoring system based on GPRS/NB-IOT Internet + technology. This paper constructs an online fault identification model of BP neural network with the collected transformer operating state parameters. The online monitoring and fault identification system design of the transformer has been completed, which provides a specific solution for the practical application of on-line monitoring and artificial intelligence diagnosis of transformer.