Big data-based substation equipment intelligent management system and method

Abstract

The invention relates to a big data-based substation equipment intelligent management system, which comprises an equipment operation state acquisition module, an equipment operation environment acquisition module, a timing verification module, a server module, a data screening backup module, a monitoring module, an alarm module and an operation and maintenance terminal, the equipment operation state acquisition module, the equipment operation environment acquisition module, the timing verification module, the monitoring module, the alarm module and the operation and maintenance terminal are all in communication connection with the server module; the timing verification module comprises a timing controller, a running state verification unit and a running environment verification unit; the data screening and backup module comprises a screening module, a cache database and a backup database. According to the invention, the device operation state and the operation environment are accurately monitored, the fault information is timely alarmed, and the storage space occupied by the monitoring data is reduced.

Description

technical field [0001] The present application relates to the field of substation equipment maintenance, and in particular, to an intelligent management system and method for substation equipment based on big data. Background technique [0002] A substation is a place in the power system that converts voltage and current, receives and distributes electrical energy. The substation in the power plant is a step-up substation, and its function is to boost the power generated by the generator and feed it to the high-voltage grid. The patrol inspection of the substation is to observe whether the appearance of the equipment is abnormal through regular inspections, such as whether there is a change in color, whether there is any debris, whether the pointer indicates normal, whether the sound of the equipment is normal, whether there is an abnormal smell, and touch is allowed. Check whether the temperature of the equipment is normal, and measure the changes in the operating paramete...

AI Technical Summary

Problems solved by technology

[0005] In order to improve the existing monitoring and early warning devices, the monitoring of substations is not comprehensive enough, and with the uninterrupted operation of the monitoring and early warning devices, the monitoring and early warning devices are more prone to failure, resulting in inaccurate monitoring results, and unable to provide timely early warning of equipment failure information. Too much monitoring data will occupy too much storage space. This application provides a big data-based intelligent management system and method for substation equipment

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