Multi-scale greenhouse environment control system based on crop information fusion

[0026] The content of the present invention will be further described below in conjunction with the accompanying drawings, but it does not represent the only embodiment of the present invention.

[0027] Please read figure 1 , The greenhouse information collection system includes three sub-collection systems: environmental factor layer information collection, crop physiological layer information collection and crop growth layer information collection. Greenhouse temperature, humidity, light, CO 2 Concentration, etc., are converted into electrical information through corresponding sensors, and input into the environmental factor layer information collection subsystem; the leaf temperature and humidity, stem flow, effective radiation of canopy photosynthesis and other parameters in the greenhouse are measured by instrument sensors. Crop physiological information is input into the crop physiological layer information collection subsystem; the crop growth rate, leaf area growth rate, dry matter accumulation and other crop growth parameters in the greenhouse are input into the crop growth layer information collection subsystem through corresponding sensors in. After the three subsystems integrate the data, they send their respective information to the greenhouse information collection system in a unified standard format to complete the greenhouse information collection.

[0028] Please read figure 2 , The whole process of greenhouse information fusion can be divided into 3 layers. The first layer is the collection and processing of various greenhouse environmental factors, greenhouse crop physiological parameters, and greenhouse crop growth parameters, which are basic processing such as data filtering, amplification, shaping, and standardization; the second layer uses time scale as standardization to standardize greenhouse information All the information obtained by the collection system is divided into three types, namely environmental factor scale, crop physiological scale and crop growth scale. Among them, environmental factor scale information fusion is mainly for temperature, humidity, light, CO in the greenhouse 2 Concentration, crop physiological scale fusion mainly focuses on leaf surface humidity, leaf surface temperature, stem flow, effective radiation of canopy photosynthesis, etc. Crop growth layer fusion mainly focuses on fruit expansion rate, leaf area growth rate, stem growth rate, dry matter Accumulation rate, etc.; the third layer is the greenhouse integrated information fusion platform, which is the final model library of the system.

[0029] In the figure, there is an interaction between parameter collection and processing and each information fusion subsystem and the second layer, and the signal needs to be corrected. This feature also exists between the second and third layers, which should be determined experimentally in the actual design of the specific system It has a certain accuracy. It should be pointed out that in the second layer, there are interaction characteristics between environmental factor scale information fusion and crop physiological scale information fusion, crop physiological scale information fusion and crop growth scale information fusion, which must be considered when constructing the model.

[0030] Please read image 3 , Greenhouse evaluation index system, as the ultimate goal of the greenhouse control system, the evaluation index system combines the solution index and energy consumption prediction index, through the greenhouse integrated information fusion platform, builds a complete system of three types of indicators, including real-time indicators, Short-term indicators and long-term indicators. Real-time indicators include greenhouse environment temperature, greenhouse environment humidity, light, CO 2 Concentration, soil temperature, soil moisture, etc. Short-term indicators include leaf surface temperature, leaf surface humidity, runoff, photosynthetic effective radiation, etc. Long-term indicators include fruit expansion rate, leaf area growth rate, stem growth rate, dry matter accumulation The three indicators are derived from the greenhouse integrated information fusion platform, which can completely and comprehensively express the goal of greenhouse control, and finally complete the system design that meets the requirements in real-time, short-term and long-term time scales to reach the entire growth process of crops Therefore, the efficiency of greenhouse production can be improved.

[0031] Please read Figure 4 , Greenhouse control system, based on the evaluation index system and greenhouse information collection information feedback, based on the expert system, self-learning theory, fuzzy control theory, predictive control and other modern control theory achievements, construct a greenhouse control system. Different from the existing thinking that most current researches are limited to single crop information, through greenhouse crop information fusion, not only the current common greenhouse environmental factors, but also crop physiological information and crop growth information are included, based on economic indicators and energy consumption prediction models. , To build a complete greenhouse environment control evaluation index system, to find the best way of actuator action based on this goal, to complete the control system design using algorithms in intelligent control theory, and to learn from the latest computer technology, network technology, calculation methods, Parallel computing and other advanced methods can efficiently and quickly obtain the best solution for greenhouse environment regulation, meet the needs of crops at various time scales, and provide decision-making for the environmental regulation of the entire growth process of greenhouse crops, thereby ensuring efficient greenhouse production. The executive modules output by the control system are: ventilation system, sunshade system, wet curtain system, CO 2 Concentration system, spray system, drip irrigation system, heating system, etc.