摘要
温室具有空间大且温度场分布受多种参数影响大等特点。基于这些特点,提出了一种基于多传感器数据检测与数据融合技术的温室环境控制的方法。在多传感器采集数据基础上,利用最小距离聚类法确定各传感器融合的次序,提高数据融合结果的客观性。这种方法可以提高温室环境监测的精确度,使温室环境的温度、湿度、光照等主要参数达到理想的条件。
The greenhouse has some characters as the space is large and the distributing of its temperature is effected by many surrounding environment parameters and so on. According to these characters, the system scheme based on multi - sensor detection and data fusion technology is proposed for green house collection. The arithmetic improves the objectivity of data fusion by the orders of sensor fusion according to the minimum distance clustering. The method can improve the accuracy of environment measurement, and regulate the temperature, humidity and illumination in greenhouse, so that it reaches ideal condition.
出处
《农机化研究》
北大核心
2009年第7期213-214,217,共3页
Journal of Agricultural Mechanization Research
基金
河北省科技厅基金项目(012134100)
关键词
多传感器
数据融合
温室控制
最小距离聚类法
multi - sensor
data fusion
greenhouse control
minimum distance clustering
