关键词: 无线传感器网络, 钨矿尾矿库, ZigBee, LabVIEW, SVR

Abstract: In view of the existing problems of high installation and maintenance cost，complex wiring，limited transmission distance and energy in current safety monitoring systems of tungsten tailings pond，a new type of monitoring and warning system based on ZigBee wireless sensor network and LabVIEW is designed.The system chooses system-on-chip CC2530 as the radio frequency transceiver and completes hardware and software designing of the solar power sensor nodes，which could collect，transmit and process the data of tailings pond.The monitoring and warning interface of PC is completed with LabVIEW，which displays real-time monitoring parameters and warns in time.It uses VISA serial port resource module and Access database called by SQL to transmit and store the monitoring data.Through the Matlab Script node，data processing module of PC calls Matlab software and establishes the regression model of support vector machine (SVR) in the back panel of the LabVIEW.The experimental results show that the system could collect real-time monitoring parameters.The prediction error of SVR regression model is about 0.3%.It is suitable for predicting parameters of tungsten tailings pond.The system is of great significance to control the risk and ensure the security of tungsten tailings pond.

Key words: Wireless sensor networks, Tungsten tailings pond, ZigBee, LabVIEW, SVR