A communication line construction safety risk intelligent monitoring and supervision system
By using multiple types of sensor acquisition terminals and intelligent analysis platforms, the problems of delayed risk discovery, non-real-time data, difficulty in tracing hidden dangers, and low efficiency of regulatory collaboration in the safety supervision of communication line construction have been solved, realizing all-weather intelligent safety monitoring and remote supervision of communication line construction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG FEILAN COMM ENG JIANLI CO LTD
- Filing Date
- 2026-04-02
- Publication Date
- 2026-06-19
AI Technical Summary
The existing safety supervision model for communication line construction suffers from problems such as delayed risk detection, unreal-time data, difficulty in tracing hidden dangers, insufficient regulatory coverage, low efficiency of multi-level regulatory collaboration, and low level of intelligence, which cannot meet the intelligent construction supervision needs of communication line projects.
Employing multiple types of sensor acquisition terminals, edge computing units, data transmission modules, a central processing platform, and a visual supervision interface, the system enables real-time collection and analysis of environmental, personnel, equipment, video, and geographic information. Combining 5G/4G, LoRa, and Wi-Fi hybrid transmission modes, it conducts data transmission and intelligent analysis, establishes a digital closed-loop process for hazard handling, and implements hierarchical access control and multi-level collaborative supervision.
It enables 24-hour uninterrupted monitoring of construction sites, covers complex areas, accurately identifies safety hazards, provides fully traceable digital records, improves the level of intelligent supervision, forms an efficient collaborative supervision system, and reduces the incidence of safety accidents.
Smart Images

Figure CN122248039A_ABST