多传感器数据融合技术在球磨机负荷检测中的应用  

Multi-Sensor Data Fusion Technology in the Ball Mill Load Detection

作　　者：蒋建虎[1] 宋丽君[1] 

机构地区：[1]洛阳理工学院电气工程与自动化系,河南洛阳471023

出　　处：《测控技术》2012年第6期15-17,共3页Measurement & Control Technology

基　　金：国家"863计划"资助项目(2008AA04020);河南省教育厅自然科学研究计划资助项目(2011B120007)

摘　　要：在水泥生产过程中,球磨机的负荷检测和控制非常重要,球磨机的负荷决定了水泥生产的连续性和水泥质量的稳定性。目前,没有直接检测球磨机负荷的方法,常用磨音、电机电流、提升机功率等间接方法获得,精确性和可靠性都较低,在生产实际中只能作为参考数据。提出一种多传感器数据融合的方法,采用自适应加权数据融合算法,选择磨音、磨机出口提升机功率、磨机电机电流、粗粉回粉流量4种传感器来综合检测磨机负荷,提高了球磨机负荷检测的准确性和可靠性。经过在水泥磨系统中的实际应用,验证了该方法的有效性。In cement production process, the ball mill load detection and control is very important, ball load determines the continuity of cement production and cement quality and stability. Currently, there is no direct way to detect the ball mill load, often grinding sound, motor current, elevator and other indirect methods to obtain power, accuracy and reliability are lower, in the actual production only as reference data. A multi-sensor data fusion method is presented, using adaptive weighted fusion algorithm, selecting four kinds of sensors for collec- ting the grinding sound, the export elevator mill power, mill motor current, meal back to the powder flow to de- tect integrated mill load, the accuracy and reliability of ball mill load test are improved. Finally, the practical application of cement mill system verifies the effectiveness of the method.

关 键 词：数据融合 球磨机 负荷检测 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]