基于神经网络的雷达料位计及其在火电厂煤粉仓中的应用  

The Radar Level-sensing Device Based on Neural Network and its Application in Pulverized Coal Bunker in the Heat-engine Plant

作　　者：赵美凤[1] 

机构地区：[1]山西电力职业技术学院动力工程系,太原030021

出　　处：《电力学报》2009年第3期184-186,共3页Journal of Electric Power

基　　金：山西省科技攻关资助项目(001043)

摘　　要：雷达料位计在煤粉仓物位测量中的应用,克服了常规仪表在火电厂煤粉物位测量方面的一些不足,也解决了粉位等介质的物位连续测量难的问题。在实际应用中,雷达物位计实现了非接触测量,可达到较高的测量精度。在FFT方法的基础上,将BP神经元网络应用于线性调频连续波雷达系统(LFMCW)的信号处理中,并应用于火电厂煤粉仓料位测量。结果表明,该方法在一定范围内可实现精确测量。The application of the radar level-sensor device in the pulverized coal bunker overcomes the lacks with the general instrument used in pulverized coal level measurement,simultanety,overcome the continuous measurement problems of level. In practical application, radar levelsensor implements non-contact measurement and achieve higher measuring accuracy. In this paper,based on the method of FFT, the application of the radar level-sensing device based on neural network in pulverized coal bunker in the heat-engine plant, the result shows that the method can achieve higher measuring accuracy with limits.

关 键 词：线性调频连续波(LFMCW) BP网络 料位测量 

分 类 号：TN953.2[电子电信—信号与信息处理]