operation mode of sintering process is developed and combined with knowledge-based model in order to realize the operation mode recognition of sintering process. Then, the burning through point control subsystem and the subsystem for abnormity diagnosing are presented using artificial neural network and expert system. A real-time intelligent guiding system for controlling sintering process is integrated based on these researches.

In this paper a survey of plant environment control rn artificial greenhouse was put forward for discussing the future development. Firstly, plant environment control started with the closed loop control of ar temperature in greenhouse.With the emergence of higher property computer, the adaptive control algorithm and system identification were integrated into the control system. As adaptation control is more depending on observation of variables by sensors and yet many variables are unobservable or difficult to observe, especially for observation of crop growth status, so model-based control algorithm were developed. In order to evade modeling difficulty, one method is predigesting the models and the other method is utilizing fuzzy logic and neural network technology that realize the models by the black box and gray box theory. Studies on control method of plant environment in greenhouse by means of expert system (ES) and artificial intelligence (Al) have been initiated and developed. Nowadays, the research of greenhouse environment control focus on energy saving, optimal economic profit, environment protection and continually develop.

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