A risk early warning perception system for safety production based on IoT technology

Abstract

This paper proposes and designs a risk early warning perception system for safety production by researching emerging technologies such as the IoT, artificial intelligence, big data, mobile Internet, and data visualization. The system uses OPC, Modbus, ODBC and other protocols as the data access protocol to realize the data access and storage of current, voltage, thermocouple, pulse signal, Ethernet, RS485/232/422. The system realizes real-time collection of fire alarm information and equipment operating status, multi-point concurrent monitoring of water pressure and liquid level in the fire-fighting water supply pipe network, real-time monitoring of residual current and temperature changes in the circuit, and real-time monitoring of harmful gases. The system improves the park's risk prevention and control ability and risk emergency response ability in an all-round and three-dimensional way.