Application of Intelligent Safety Supervision Based on Artificial Intelligence Technology

Abstract

Intelligent safety supervision is an intelligent management technology based on BIM, Internet of things, big data, artificial intelligence and other technologies. The reliability of traditional intelligent safety monitoring system is relatively low in the case of large amount of data and complex data analysis, which is easy to cause data channel congestion and affect transmission efficiency. In this paper, through real-time data collection, analysis and processing of key regulatory elements such as human, machine, material, law and environment on the construction site, it provides big data services such as dynamic identification, intelligent analysis and active early warning of potential safety hazards for regulatory agencies and responsible parties. Neural network technology is used to analyze channel congestion accurately, and support vector machine algorithm is used to allocate resources reasonably for communication and information processing units. The experimental results show that this method can effectively improve the supervision efficiency and improve the supervision means.