摘要
For complementarity and redundancy of multi-sensor data fusion (MSDF) system,it is an effective approach for multiple components measurement.In order to measure nutrient solution on-line,a dynamic and complex system under greenhouse environment,sensors should have intelligent properties including self-calibration and self-compensation. Meanwhile,it is necessary for multiple sensors to cooperate and interact for enhancing reliability of multi-sensor system. Because of the properties of multi-agent system (MAS),it is an appropriate tool to study MSDF system.This paper proposed an architecture of MSDF system based on MAS for the multiple components measurement of nutrient solution.The sensor agent's structure and function modules are analyzed and described in detail,the formal definitions are given,too.The relations of the sensors are modeled to implement reliability diagnosis of the multi-sensor system,so that the reliability of nutrient control system is enhanced.This study offers an effective approach for the study of MSDF.
For complementarity and redundancy of multi-sensor data fusion （MSDF） system, it is an effective approach for multiple components measurement. In order to measure nutrient solution on-line, a dynamic and complex system under greenhouse environment, sensors should have intelligent properties including self-calibration and self-compensation. Meanwhile, it is necessary for multiple sensors to cooperate and interact for enhancing reliability of multi-sensor system. Because of the properties of multi-agent system （MAS）, it is an appropriate tool to study MSDF system.This paper proposed an architecture of M SDF system based on MAS for the multiple components measurement of nutrient solution. The sensor agent＇s structure and function modules are analyzed and described in detail, the formal definitions are given, too. The relations of the sensors are modeled to implement reliability diagnosis of the multi-sensor system, so that the reliability of nutrient control system is enhanced. This study offers an effective approach for the study of MSDF.
出处
《稀有金属材料与工程》
SCIE
EI
CAS
CSCD
北大核心
2006年第A03期264-267,共4页
Rare Metal Materials and Engineering
