Environment anomaly detection method and device, computer equipment and storage medium

Abstract

The invention relates to an environment anomaly detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected image of a current detection period; according to the image features in the to-be-detected image, if it is judged that environment anomaly exists in the to-be-detected image, obtaining all environment anomaly detection frames in the to-be-detected image according to the image features in the to-be-detected image, wherein each environment anomaly detection frame carries position information, category and confidence, the position information is used for identifying the position information of the corresponding environment anomaly detection frame, the category is used for identifying the category of the abnormal environment information contained in the corresponding environment anomaly detection frame, and the confidence coefficient is used for identifying the confidence coefficient of the category of the abnormal environment information contained in the corresponding environment anomaly detection frame; and determining an environment anomaly detection result of the to-be-detected image according to the position information, the category and the confidence coefficient carried by each environment anomaly detection frame. By adopting the method, the detection efficiency of the environment abnormity can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an environmental anomaly detection method, device, computer equipment and storage medium. Background technique [0002] In order to ensure that the production area of ​​the power plant is in a safe environment, it is necessary to detect various abnormal environments that may occur in the production area of ​​the power plant in real time, such as open flames, smoke, liquid leakage, etc. [0003] In related technologies, the current environmental anomaly detection methods are mainly divided into two categories: one is to use specific sensors for environmental anomaly detection, such as flame detection devices or smoke detection devices, such methods have a greater impact on detectable abnormal types limitation. The other type uses image processing technology to detect visible environmental anomalies. Compared with anomaly detection devices, this method is mo...

AI Technical Summary

Problems solved by technology

[0004] Previous image-based environmental anomaly detection technologies generally use different specific detection methods for different abnormal environments. For example, for open flames, open flame detection methods are used for detection, and for smoke, smoke detection methods are used for detection; A specific detection method can only detect a specific abnormal environment. If different specific detection methods are also used for detection in a complex scene including multiple abnormal environments, multiple detections are required, which makes the entire detection process relatively complicated. It is cumbersome and ultimately leads to low detection efficiency of environmental anomalies

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