The rapid development of modern information technology to drive the development of sensor technology has become one of the pillars of modern information technology development. The reliability of the sensors as sensor applications in various industries is more and more attention. Therefore, sensor fault diagnosis technology is more and more importance. This paper takes the digital stage integrated information collection system inertial sensor as an example, and it not only introduces the application of wavelet analysis in sensor fault diagnosis, but also studied the application function of continuous wavelet transforms. Through simulation experiment, we simulated and verified the effect of continuous wavelet transforms in the sensor fault. The experiment proved that the continuous wavelet transform analyses have good sensitivity and anti-noise in sensor fault diagnosis, then it shows that the wavelet transform analysis method has a good practical application in sensor network fault.

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.

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