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AI AI based dangerous situation detection system for mobile crane and work of ground work place yard using analyzing accident cause big data of mobile crane and work of ground work place yard
AI AI based dangerous situation detection system for mobile crane and work of ground work place yard using analyzing accident cause big data of mobile crane and work of ground work place yard
The present invention relates to an AI-based mobile crane ground work site and worker risk detection system using big data for analyzing the cause of accidents for mobile cranes on the ground and workers, and the types and characteristics of mobile cranes, mobile crane work environments, and falls related to mobile crane work Disaster cases by type of disaster including , falling, overturning, straying, collapse/collapse, electric shock, and collision, causes of accidents including defects in lifting objects, booms, body parts, boarding equipment and hooks, crane operators, nearby workers, and managers By analyzing the cause of the accident, including classification of victims, non-compliance with safety rules, poor line work, defective crane equipment, crane overturning, defective boarding facilities, defective buckets, and inexperienced work, the mobile crane types and characteristics, mobile crane work an artificial intelligence system constructed by making big data by classification by classification by environment, disaster case by disaster type, accident triggering cause, victim classification, and accident cause, creating and mapping safety accident response scenarios corresponding to the big data for each classification; UWB VT and PT sensor system attached to a mobile crane and a worker or object; a system for detecting the risk of a mobile crane ground worksite and worker operated by the artificial intelligence system and the UWB VT sensor and PT sensor system is about
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