Power grid system fault analysis and early warning method based on fault classification processing
A power grid system and fault analysis technology, applied in the power grid field, can solve problems such as prolonged fault events, failure to prevent in advance, and poor user experience
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Embodiment 1
[0036] Such as figure 1 As shown, the present invention is based on a fault classification processing power grid system fault analysis and early warning method, comprising the following steps:
[0037] Data collection and combing step: Obtain all kinds of fault data of the power grid system within a certain period of time, and form the fault data into time series data; specifically, set up multiple monitoring nodes on the power grid transmission line, for example, the monitoring nodes are two lines The wave recorder at the end, what this embodiment obtains is various fault data of each monitoring node of the power grid system within a certain period of time; there are as many types of fault data as there are time series data, for example, there are 3 types of error codes appearing, It represents that there are 3 kinds of faults, and then there are 3 time series. Specifically, the fault data is the number of times of error codes; what this embodiment obtains is the time series ...
Embodiment 2
[0092] The difference between this embodiment and Embodiment 1 is that it also includes:
[0093] The database is pre-stored with the address information of each monitoring node and the line information detected by the monitoring node. The line information includes installation time and address attributes, and the address attributes include indoor and outdoor. The address information of the monitoring nodes and the line information are one by one Corresponding; the monitoring nodes in this embodiment are wave recorders at both ends of the line; specifically, the line information is: what the monitoring node A detects is the line numbered 0012, and the installation time of this line is April 12, 2018. The line is located indoors; the monitoring node B detects the line numbered 0045, which was installed on May 1, 2018, and the line is located outdoors; the monitoring node C detects the line numbered 0036, and the line’s The installation time is April 12, 2018, and the line is lo...
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