Power grid equipment risk perception method

Abstract

The invention discloses a power grid equipment risk perception method, which comprises the steps of acquiring real-time operation data of power grid equipment, extracting key information, evaluating the power grid equipment, carrying out index calculation, judging whether the state of the power grid equipment exceeds a set safety threshold range or not, and pushing early warning information when the state of the power grid equipment exceeds the set safety threshold range. According to the method, by obtaining the real-time operation data of the power grid equipment, efficient data fusion is carried out on mass real-time data, key information is automatically analyzed, and the problem that monitoring personnel cannot effectively analyze a large amount of data is solved; and real-time sensing, intelligent alarming and equipment health state evaluation are carried out on the power grid equipment, so that the power grid equipment management level and the power grid safety situation supervision capability are effectively improved, the equipment fault frequency is reduced, and the operation safety is ensured.

Description

technical field [0001] The invention belongs to the technical field of power system simulation and calculation analysis, and in particular relates to a risk perception method for power grid equipment. Background technique [0002] Faced with a large amount of information data, such as the status information of the main distribution network equipment and the equipment information data of the metering automation system pushed by the SCADA (Supervisory Control And Data Acquisition, data acquisition and monitoring control system), monitoring personnel cannot check every piece of abnormal information, which is likely to cause Information stacking; on the other hand, limited by technical means, there is no summary of massive equipment information, and the potential equipment operation rules and risks are not fully explored. [0003] At present, objectively, there are unfavorable factors such as lagging behind in the construction of production management systems, low quality and ab...

AI Technical Summary

Problems solved by technology

[0002] Faced with a large amount of information data, such as the status information of the main distribution network equipment and the equipment information data of the metering automation system pushed by the SCADA (Supervisory Control And Data Acquisition, data acquisition and monitoring control system), monitoring personnel cannot check every piece of abnormal information, which is likely to cause Information stacking; on the other hand, limited by technical means, there is a lack of summarization of massive equipment information, and the potential equipment operation rules and risks are not fully explored

[0003] At present, objectively, there are unfavorable factors such as lagging production management system construction, low quality and ability of personnel, and inertial thinking in operation and maintenance management. It is very difficult to control the risk of the power grid, and the security situation is extremely severe.

Images