一种基于AI算法的机电施工管理系统及方法
By constructing an electromechanical construction management system and utilizing AI algorithms to build a directed graph and personnel skill matrix, the problem of incomplete identification of complex dependencies in traditional electromechanical construction management has been solved. This has enabled refined task assignment and dynamic management, and improved the accuracy of construction progress prediction and the effectiveness of early warning signals.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA RAILWAY CONSTRUCTION ENGINEERING GROUP
- Filing Date
- 2026-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional electromechanical construction management relies heavily on the personal experience of project managers, resulting in incomplete identification of complex dependencies between processes, inability to quantify personnel skills and task difficulty, insufficient accuracy in schedule forecasting, and slow response to dynamic construction situations.
Based on AI algorithms, a directed graph and personnel skill matrix are constructed between electromechanical modules. Through task progress simulation and discrete event simulation, the comprehensive bottleneck electromechanical modules are identified, early warning signals are generated, and the personnel skill matrix is updated to achieve refined task assignment and dynamic management.
It improves the accuracy of construction progress forecasting, can identify and respond to dynamics and uncertainties in construction, provides targeted control strategies, reduces false alarms, ensures the effectiveness of early warning signals, and achieves adaptive intelligent management.
Smart Images
Figure CN122114566B_ABST