A job safety management and control system and method based on multi-source data fusion

By using a multi-source data fusion-based work safety management system, the system analyzes and links tool status and work processes in real time, solving the problem of broken links in the safety management chain in existing technologies. This enables proactive prevention and mandatory compliance of work safety, improving the real-time nature and accuracy of safety management.

CN122415001APending Publication Date: 2026-07-17GUANGXI COLLEGE OF WATER RESOURCES & ELECTRIC POWER

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGXI COLLEGE OF WATER RESOURCES & ELECTRIC POWER
Filing Date
2026-03-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot connect the data flow of the three core safety elements: worker behavior, work process, and tool status. This results in a break in the safety management chain, making it impossible to achieve proactive prevention and mandatory compliance before and during incidents, and making it difficult to eliminate safety accidents.

Method used

The system adopts a multi-source data fusion-based operation safety management and control system, which includes an on-site perception and control layer, an edge computing and fusion layer, and a cloud platform decision layer. The edge computing server performs real-time analysis and fusion of multi-source raw data, identifies effective action segments and associates them with tool status and work order step data. The cloud platform decision layer makes linkage management and control decisions to achieve mandatory verification of tool requisition and real-time matching of operation processes.

Benefits of technology

It has improved the real-time, accuracy and objectivity of work safety management, eliminated the phenomenon of "working while sick", realized the self-learning and optimization of safety management, formed a preventive safety protection network that runs through the entire operation, and reduced the influence of subjective factors of human judgment.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种基于多源数据融合的作业安全管控系统及管控方法,包括现场感知与控制层、边缘计算与融合层和云端平台决策层;所述现场感知与控制层用于采集多源原始数据并执行控制指令,所述边缘计算与融合层,位于现场近端,包括边缘计算服务器,用于接收来自作业现场层的多源原始数据,对实时作业视频数据提取的人体骨骼关键点数据进行实时分析以识别有效动作片段;所述云端平台决策层包括数字化标准作业程序工作流引擎库、智能工具全生命周期库及中央调度引擎。本发明能够提升了作业安全管控的实时性、精准性与客观性:使得管控指令的发出更加精准、及时,避免了人为进行行为合规判定,消除了主观因素影响。
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