Construction material pile load monitoring and early warning method based on multimodal model
By using multimodal models to identify material types and calculate weights in construction material stacking monitoring, the problems of low supervision efficiency and insufficient intelligent analysis capabilities in the existing technology are solved, more accurate load monitoring and early warning are achieved, and safety management and carbon emission control capabilities at the construction site are improved.
Patent Information
- Application Number
- CN202411746631.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-12-02
AI Technical Summary
In the monitoring and early warning of construction materials, the existing technology has problems such as low supervision efficiency, lag in risk detection, lack of intelligent analysis capabilities, insufficient adaptability and flexibility, insufficient real-time and interactiveness, and lack of indirect carbon emission control methods.
The construction material load monitoring and early warning method is adopted based on multimodal model, and images are collected through the camera, the construction material type is identified using the multimodal deep learning model, weight and weight per unit area, and early warning thresholds are set to realize real-time safety monitoring and early warning.
The intelligence level of construction material stacking monitoring and the accuracy of early warning are improved, the information and intelligence level of safety management at the construction site is enhanced, and more accurate assessment and early warning of the stacking status of construction materials is achieved, and the ability to control indirect carbon emissions is improved.