All-weather well site fire early warning method based on image processing

By deploying high-definition wireless cameras and image processors in the well site and building a network base station to connect with the smart cloud, intelligent identification and early warning of well site fires is realized, solving the problem of untimely monitoring of traditional systems in extreme environments and improving well site safety.

CN119649539AInactive Publication Date: 2025-03-18YANGTZE UNIVERSITY
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Patent Information

Application Number
CN202411876484.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional well site fire warning systems are difficult to achieve real-time monitoring and rapid feedback all-weather and all-time periods in extremely bad weather and night environments, and there is a risk of untimely warnings and human negligence leading to major fires.

Method used

By deploying high-definition wireless cameras at multiple angles and locations in the well site, connecting to the image processor, building a network base station and connecting to the smart cloud, image processing technology is used to preprocess, feature extraction and feature recognition of the collected images, establishing a large fire sample database, and realizing intelligent identification and early warning of fires.

Benefits of technology

It realizes all-weather and full-time fire monitoring and early warning, which can ensure real-time monitoring and detection accuracy in extremely bad weather and night environments, reducing the fire risk caused by human negligence.

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Abstract

The invention discloses an all-weather well site fire early warning method based on image processing, and belongs to the technical field of well site fire protection, and the method comprises the following steps: S1, building an all-weather well site fire early warning system; s2, collecting images of a fire in a well site, performing preprocessing and image labeling, and establishing a fire large sample database; s3, performing preprocessing, feature extraction and feature recognition on the acquired image to obtain a sample image; and S4, comparing the sample image obtained in the step S3 with the fire big sample database, judging whether a fire occurs, and sending fire information to the smart cloud platform through the network base station for processing. According to the invention, images are monitored and identified in real time through the image processor, so that all-weather and all-time monitoring is realized; image data under different conditions are collected and trained, so that real-time monitoring and accuracy are ensured; a fire identification model with a deep learning function is adopted, the accuracy of the model is continuously improved, and a new technical thought is provided for safe operation of a well site.
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