Transformer Substation Online Detection System Based on Lon Works Bus

We propose the transformer substation online detection system based on Lon Works Bus which uses the intelligent neuron chip as the control core of the intelligent node. The Lon Works Bus-based system is used for real-time data acquisition, parameter calculation, equipment state analysis, fault diagnosis, high-speed information transmission of substation. We improve the anti-interference ability and measuring accuracy of the system by using the Fourier filtering algorithm in the measurement of current and voltage, which exchange DC component in the process of AC signal filtration. The experiment has been proven that the system improve the reliability and safety of high pressure equipment in substation.