A mine safety monitoring method based on AI recognition monitoring system
By dynamically determining the appropriate AI security identification model, it is solved that the fixed AI model in mine safety monitoring is difficult to meet the reliability of safety risk monitoring in different monitoring areas and operating conditions, and achieves higher accuracy of safety risk identification.
CN119314112BActive Publication Date: 2025-04-01HANGZHOU PAISHAN INTELLIGENT TECHNOLOGY CO LTD
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Patent Information
- Application Number
- CN202411844510.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-04-01
- Estimated Expiration
- 2044-12-16
AI Technical Summary
Technical Problem
In mine safety monitoring, fixed AI identification models are difficult to meet the reliability requirements of safety risk monitoring in different monitoring areas and operating conditions.
Method used
By acquiring the monitoring images of the monitoring device, a suitable AI security identification model is dynamically determined based on the matching job type and historical security data to improve the accuracy of security risk identification.
Benefits of technology
The AI identification model is dynamically adjusted according to different operation types and historical risk data, which improves the accuracy and reliability of mining safety risk identification, and avoids the inaccurate identification caused by frequent model switching.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention provides a mine safety monitoring method based on an AI recognition monitoring system, which belongs to the field of safety management technology, and specifically includes: determining the matching operation type of the monitoring area based on the matching situation of monitoring images at different times in a preset time period and different preset operation types; when it is determined that the existing AI safety recognition model of the monitoring device does not meet the requirements according to the historical safety data of the matching operation type, based on the recognition accuracy of different AI safety recognition models in different types of safety risks, based on the matching operation type and the historical occurrence data of different types of safety risks under the historical matching operation type of the monitoring area, determining the matching recognition model corresponding to the monitoring device, and using the matching recognition model to perform identification processing of the mine safety risks of the monitoring device, thereby improving the reliability of the monitoring and processing of the safety risks.
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