Research And Design Of Testing And Controlling System On Temperature And Humidity Of Intelligent Greenhouse

Testing and controlling system of the intelligent greenhouse environment could adjust automatically all kinds of the circumstance condition by the demand of the vegetable development. It is the basis of the automation and science of the greenhouse management. It makes the greenhouse vegetable to get better indoor condition than outdoor in the unfit season by analyzing the data and combining the rules of the vegetable growth and controlling the circumstance condition in order to achieve high quality and high yield.The greenhouses of testing and controlling automatically that have been introduced into our country from overseas are not being applied and extended on a large scale in our country because of unbefitting testing emphases, costly price and high expenses. Nowour designing greenhouses don't meet the needs of the all-year high yield by reason of the lower testing technology and management. It is the important meaning to modernize our greenhouses and gain interests that changing conventional mode, practicing computer test and setting up our testing and controlling system of the greenhouses.So, this paper brings forward a utility greenhouse system after studying all kinds of the complicated greenhouse condition. It could test and control the greenhouse temperature and humidity by adopting multi-sensor, expert system, fuzzy control theory and computer technology.The testing and controlling system on temperature and humidity of intelligent greenhouse proposed in this paper applies the way that multi-sensors and expert system combines. And the multi-sensors management and fusing system could reflect accurately environment character to obtain the most test precision and reliable control decision-making in order to make the system run in the most state. Then expert system fuses and analyzes the measure data from temperature and humidity of many sensors byadopting the data fusion arithmetic of consistency checkout, and takes the output result as the optimal estimate, then starts expert system to test and control automatically the on-line temperature and humidity. That is, it could create the optimal fitting condition of the vegetable growth according as expert knowledge deposited, decision automated and control parameter selected. It is proved via simulated test that the system has good capability, high efficiency and easy use. And it is the technology basis of the design and research of testing and controlling system of the greenhouse multi-factor.