Transformer substation personnel detection method and device based on deep learning

Abstract

The invention discloses a transformer substation personnel detection method based on deep learning. The method comprises the steps: training a transformer substation personnel track and behavior detection model based on deep learning, and carrying out the transformer substation personnel detection through employing the transformer substation personnel track and behavior detection model based on deep learning. The invention further provides a transformer substation personnel detection device based on deep learning, the transformer substation personnel detection device comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and the processor implements the steps of the method when executing the computer program. Characteristic selection does not depend on manual experts any more, objects such as safety clothes, safety helmets and work permits can be efficiently and accurately recognized, and the capacity quite meets the requirement of an unattended operation mode of a current transformer substation.

Description

technical field [0001] The invention belongs to the technical field of electric power engineering, and in particular relates to a substation safety monitoring technology. Background technique [0002] In recent years, with the rapid development of power information technology, artificial intelligence technology, and deep learning algorithms, the automation system of substations has been widely used. The current on-duty mode of the system is to transmit all kinds of real-time data of the substation to the dispatching center, which reduces the influence of human factors. However, it is still necessary to manually analyze the monitoring video to determine whether there is illegal personnel intrusion in the substation and whether the operation behavior violates regulations. This kind of on-duty mode that relies on staff to view videos day and night requires a lot of manpower, and the substation operates 24 hours a day, which will inevitably generate a large amount of video data....

AI Technical Summary

Problems solved by technology

[0003] Aiming at the limitations of the existing manual monitoring, the technical problem to be solved by the present invention is to provide a substation personnel detection method based on deep learning, which reduces human labor and improves the detection efficiency of substations

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