摘要
根据温室环境中空间大,温度场分布受到各种参数影响大等特点,提出了采用数据融合方法来处理温室中采集到的传感器数据,采用分布图法剔除疏失误差,采用基于均值的分批估计的融合方法对采集的数据进行处理,提高了温度采集的精度,同时有效地消除了由于传感器失效引起的误差。
The temperature distribution in the large space greenhouse is influenced by many kinds of environmental factors. It is difficult to get the accurate temperature values of the greenhouse. A multi-sensor data fusion approach for processing data of greenhouse temperature was presented. The distributing diagram approach was used to eliminate the careless mistake data. In particular, the data fusion method based on arithmetic mean and batch estimation has been used to filter the collected data to improve the precision of temperature collection and eliminate the errors caused by the sensor disability efficiently. The analysis of experiment results showed that the multi-sensor data fusion approach improved accuracy and reliability of controlling system.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2006年第10期101-103,共3页
Transactions of the Chinese Society for Agricultural Machinery
基金
河北农业大学博士基金资助项目
关键词
温室
温度
数据融合
多传感器
检测
Greenhouse, Temperature, Data fusion, Multi-sensor, Detection
