一种装配式工地吊装作业风险智能管控方法及系统
By acquiring multi-source data to analyze the operating parameters of hoisting equipment and environmental information, calculating the risk correlation coefficient between regions, and generating a risk distribution map, the problem of risk identification in traditional hoisting operations is solved, realizing full-process risk perception and accurate early warning, and improving the safety and management level of hoisting operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI CIVIL ENG GRP CO LTD OF CREC
- Filing Date
- 2025-11-17
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional risk management methods for hoisting operations are unable to accurately perceive and quantify the stress on hoisting points, the subtle changes in equipment operating parameters, and the dynamic impact of environmental disturbances on different hoisting areas, making it difficult to identify potential high-risk nodes in advance.
By acquiring multi-source data during the hoisting operation cycle, analyzing the changing trends and dynamic stability of equipment operating parameters, calculating the risk correlation coefficient between hoisting areas, generating a hoisting risk distribution map, and combining it with the location of operators and environmental meteorological information for real-time early warning and coordinated control.
It enables dynamic risk perception and monitoring throughout the entire hoisting operation process, accurately identifies high-risk nodes, and improves the safety and intelligent management level of hoisting operations.
Smart Images
Figure CN121638875B_ABST