制冷系统中的温度数据融合测试  

Fusion Measurement of the Temperature Data in Refrigeration System

作　　者：吴强[1,2] 黄石红[3] 

机构地区：[1]南京师范大学计算机科学与技术学院,江苏南京210097 [2]江苏省信息安全技术工程研究中心,江苏南京210097 [3]东南大学能源与环境学院,江苏南京210096

出　　处：《自动化仪表》2011年第1期61-63,共3页Process Automation Instrumentation

摘　　要：为提高测量的准确度、保证测量结果的可靠性,采用估值理论将处于不同空间位置的温度传感器观测值融合在一起,以最小方差的准则确定评估融合参数,实现了温度数据的融合测试。这种数据融合的测试方法既可以消除温度测量中的干扰,同时也提高了测量的准确度。在制冷机械温度测量中应用此方法,测量效果得到明显改善。In order to enhance the measurement accuracy and ensure the reliability of the measured result,by adopting evaluation theory,the observed values from temperature sensors located in different location are fusibly handled.The fusion parameters are evaluated with the minimum variance criterion to realize fusion test for temperature data.This kind of test method for data fusion can eliminate the interference in temperature measurement,and also enhance precise of measurement.The method has been applied in temperature measurement of the refrigeration machinery with obviously enhanced measurement effects.

关 键 词：准确度 估值理论 数据融合 制冷机 温度测量 

分 类 号：TH811[机械工程—仪器科学与技术]