An intelligent temperature control system for thermal infrared detection system
By designing an intelligent temperature control system in the thermal infrared detection system, and using image processing and temperature control technology, the problem of difficulty in identifying closely adjacent or partially overlapping heating targets and inflexible temperature management is solved, and the effect of accurately identifying and optimizing temperature distribution is achieved.
Patent Information
- Application Number
- CN202411767888.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-04
AI Technical Summary
The existing thermal infrared detection systems have insufficient resolution when dealing with closely adjacent or partially overlapping heating targets, resulting in difficulty in identification; at the same time, traditional systems use fixed temperature thresholds, resulting in false alarms or missed alarms when ambient temperature changes or target temperature fluctuations.
An intelligent temperature control system for thermal infrared detection system is designed, including an image acquisition unit, an image processing unit, a temperature control unit and a policy execution unit. The image processing unit uses window processing and connection area marking to achieve accurate identification and segmentation of the heating target through the image analysis module and the target recognition module. The temperature control unit optimizes the overall temperature distribution through dynamic temperature threshold control and multi-objective coordinated control.
Accurate identification and segmentation of closely adjacent or partially overlapping heating targets is achieved, false detection and missed detection are reduced, and the robustness and processing efficiency of the system are improved. Through dynamic temperature threshold control and multi-objective collaborative control, smarter and more adaptive temperature management are achieved, and the overall temperature distribution is optimized.