信息融合在温室西瓜生长中的应用研究  

Research and Application of Multisensor Information Fusion in greenhouse Watermelon growing

作　　者：李泉溪[1] 巩庆民[2] 

机构地区：[1]河南理工大学计算机科学与技术学院,河南焦作454003 [2]河南理工大学电气工程与自动化学院,河南焦作454003

出　　处：《微计算机信息》2009年第16期287-288,共2页Control & Automation

摘　　要：针对温室西瓜栽培的具体环境条件,运用二级融合模型,局部融合采用自适应加权数据融合算法,全局融合采用改进的D-S证据推理理论对温室中的温度、湿度和光照度等主要环境参数进行融合,将融合结果送入专家系统的知识库,对温室环境做出精确的判断,并采用对应的措施对环境参数进行调节,达到西瓜生长较为理想的环境条件。实验表明融合结果的可靠性较高,能够完成温室环境的智能化控制。Directed watermelon Cultivation greenhouse specific environmental conditions we used two-level fusion model. In partial in- tegration used adaptive weighted data fusion algorithm but in global fusion we used the hybrid algorithm based on D- S theory to fusion temperature, humidity and illumination of the main environmental parameters, etc. Results will be integrated into the knowledge base expert system. Then the expert system makes accurate judgment of the greenhouse environment and adopts appropriate measures to regulate the environmental parameters to match watermelon ideal environmental conditions. The experiment result indicates that the outcome of the fusion is reliability and it can complete the intelligent control greenhouse environment.

关 键 词：温室环境控制 自适应加权数据融合 D—S证据 专家系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]