Online Monitoring and Intelligent Diagnosis System Based on Hybrid Wireless Network for Large Complicated Equipment

Aimed at the characteristics of huge systems, complicated distributed structures and difficult fault diagnosis of large equipments, an extensible system of distributed online monitoring and multi-level intelligent fault diagnosis based on hybrid wireless network techniques was presented and designed. The entire system includes four hierarchy´s subsystems. The first subsystem is monitoring sensors and Zigbee network. It is responsible to gain various data of equipments in a non-intrusive mode. The second one is monitoring and transmission network. It consists of embedded system ARM920T and relative multiple single-chips, and is responsible to receive and integrate all information of the previous subsystem. The third one is online and offline monitoring subsystem based on wireless protocol 802.11b. The final one is multi-level intelligent diagnosis and management system. The results of practical operation show that, because of the using of hybrid wireless network, embedded system and multilevel intelligent diagnosis, the system may be flexibly deployed, have powerful capability of monitoring, diagnosis and management, and can implement expeditious and accurate fault positioning and diagnosis for large equipment system.