Design And Implementation Of Equipment Information Integration And Fault Diagnosis System Base On Wireless Sensor Networks

During these years since the development pace of wireless communication, IC technology, sensor technology, and MEMS speeded up astronomically; the sensor technology of acquiring information has transformed its singularity into integration, minimization and inter-networks. Therefore, Wireless Sensor Networks (WSN) has emerged as the time requires. WSN has a great potential application on National Defense and military affairs, environmental inspection, medical treatment, industrial manufacture, anti-terrorism and disaster salvage, which is thought highly of as a hotspot in Academy and Industry.This paper concerns about the equipment application, and takes a combination of WSN, information integration and fault diagnosis system. Firstly, in accordance with the design principle of WSN, a framework of equipment information integration system has proposed with an illustration of its main functions, after the analysis of WSN application requirements. Secondly, based on the energy consumption of sensor node and the characteristics of wireless transmission, the Atmegal28L single-chip microcomputer and CC2420 wireless transceiver has been selected. Four models have been made out, which are minimal processing model, RF communication model, sensor model and power model. All these models could be flexibly configured. Thirdly, according to IEEE802.15.4 agreement and ZigBee standard, software configuration plan of WSN and detailed codes of TinyOS have been brought out, in order to the low energy-consumption requirement of hardware and software. The function of information collected and transferred has been accomplished. Then the features of its net and nodes have also been analyzed on coverage and energy consumption, after real simulation of WSN in TOSSIM of TinyOS. Finally, the result that can be made a comparison between on-the-spot measures and experimental simulations tells the good working characteristics of net and nodes of WSN, and even the entire system is greatly working well in some real cases of fault diagnosis of CNC (Computer Numerical Control machine).