Research On Information Fusion Algorithm In Intelligent Control Of Greenhouse

The multi-sensor information fusion technique is a cutting edge technology, initially only applied to the Battlefield control of the military, such as the C4I system, etc, this technology has gradually been introduced into the non-military areas after World WarⅡ, for example:intelligent buildings, remote sensing systems and so on. It relates to areas of technology which include probability statistics, modeling theory, pattern recognition and neural networks. Using multiple sensors to real-time detection on the environment in a greenhouse, it effectively compensates the shortcoming that the failure of a single sensor can not transmit data because a volume can not be monitored.According to the physiological characteristics of crops, wholly or partly to overcome the climatic and environmental factors outside world and other non-self-bondage, so as to create the best conditions for crop growth and achieved the purpose of increasing production and energy efficiency, firstly, to determine the various factors of the constrained environment and the relationship between them, then to take the appropriate management and control measures. Through the continuous exploration and practice of experts in the agricultural field, ultimately to determine the temperature, light intensity and humidity are greater impacts on the environment. Be seen as the main three factors to affect crop. Greenhouse environmental control systems often use IPC as the core. computer technology is more emphasized, for depending on the knowledge technology of agriculture and experience, greenhouse controls of judging the physiological state are clearly shortcomings.This paper mainly studies the principle of multi-sensor information fusion, structures and the commonly used algorithms, and analysis of multi-sensor system integration model, detailed analysis of the advantages and disadvantages of the different levels of information fusion algorithm, focuses on the D-S evidence theory knowledge and the intrinsic meaning of expert system. For the homology of the information transferred by homogeneous sensor, our purpose is to eliminate interference by compatibility matrix method and achieve the purpose of a preliminary optimization of information. Using of an improved D-S combination algorithm, the identification framework is constructed by knowledge of the expert system, and to be assignment for the basic probability assignment function in the D-S model, and then attempt to integrate for the processed information of temperature, humidity and illumination by compatibility matrix method, the final decision is given by the expert system. Experiments show that, this approach improves the accuracy of decision-making and control in parameters of greenhouse environmental, and to improve the effect of greenhouse environmental control.