The intelligent perception system for safety hazards is a system that utilizes modern information technology, such as the Internet of Things, big data, cloud computing, etc., to monitor, identify, and warn of safety hazards in various environments or devices in real time. The system mainly consists of four parts: the perception layer, transmission layer, processing layer, and application layer. The perception layer is responsible for collecting data from various environments or devices; The transmission layer is responsible for data transmission; The processing layer analyzes and processes the data to identify potential safety hazards; The application layer, based on the output of the processing layer, provides corresponding warnings or alarms. Relying on 4G/5G/WIFI6 and other networks, the system realizes the identification of production process behavior, personnel on-job control identification, safety early warning analysis identification, appearance inspection judgment identification, asset management monitoring identification, etc., through the deployment of image analysis and AI video image algorithm application, to perform video big data intelligent early warning analysis and remote intelligent linkage control for mine safety production.

System composition diagram