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Aiming at the problem of grid information analysis and data processing, this paper proposes an analysis method using wavelet transform to diagnose grid fault information and realize remote monitoring of grid information. In this study, the sensor component is used to collect the fault data of each component of the grid information system, and the field data sensed by the sensor is transmitted to the industrial computer, and then the wavelet analysis model is constructed to extract the grid fault information and further refine the fault features. The method is beneficial to obtain microscopic factors reflecting the fault information of the grid information from the obtained macro information. In this study, the received data can be transmitted remotely through the data transmission unit. The data transmission unit can realize remote transmission of data through ZigBee wireless network or GPRS/CDMA wireless communication, enabling users to remotely monitor and detect in the upper management system. data. The test shows that the user can realize the fault analysis, waveform display, frequency test, harmonic detection, report generation and other functions of the grid information system through LABVIEW software. The analysis is clearer and the test results are more obvious.