Power grid monitoring alarm event identification method, terminal device, equipment and medium

Abstract

The invention discloses a power grid monitoring alarm event identification method and device, terminal equipment and a medium. The method comprises the following steps: acquiring alarm information ofpower grid monitoring; preliminarily identifying an alarm event according to the alarm information to form preliminary identification data; preprocessing the alarm information and the preliminary identification data to form a training sample set, wherein the training sample set comprises a plurality of defined events; training the convolutional neural network model by adopting the training sampleset to form a power grid monitoring alarm event recognition model; and identifying the monitoring alarm event by adopting the power grid monitoring alarm event identification model. The efficiency andthe accuracy of identifying the power grid monitoring alarm information as the alarm event are improved; therefore, the screen monitoring capability of power grid monitoring service personnel is effectively reduced, the working efficiency of daily monitoring and accident exception handling of the service personnel is improved, and the power grid monitoring alarm information platform is enabled tobetter adapt to the development trend that the quantity of equipment fault alarm information of a power grid is increased geometrically.

Description

Technical field [0001] The embodiments of the present invention relate to the technical field of power system monitoring, and in particular to a method, device, terminal equipment, and medium for identifying a power grid monitoring alarm event. Background technique [0002] As the scale of power grid equipment expands and the level of intelligent monitoring improves, the amount of equipment failure alarm information shows a geometric growth trend. The existing power grid monitoring business relies on the monitoring method of responding to the alarm information one by one, and each piece of information needs to be discriminated, analyzed and processed one by one. Feedback, due to the large number of monitoring equipment involved, the large amount of monitoring information, and the complexity of abnormal fault conditions, relying on traditional technical means such as alarm information windows and optical plate lists, it is easy to cause equipment failures or abnormal missed judgmen...

AI Technical Summary

Problems solved by technology

[0002] With the expansion of power grid equipment and the improvement of intelligent monitoring level, the number of equipment fault alarm information shows a geometric growth trend. The existing grid monitoring business relies on the monitoring method of responding to alarm information one by one, and needs to identify, analyze and make each piece of information one by one. Due to the large number of monitoring equipment involved, the large amount of monitoring information, and the complexity of abnormal fault conditions, relying solely on traditional alarm information windows, optical nameplate lists and other technical means, it is easy to cause equipment failure or abnormal misjudgment and misjudgment. It has caused a lot of monitoring pressure on the monitoring personnel, and has been unable to adapt to the higher requirements of the power grid monitoring business under the current situation

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