Crop control model driven intelligent greenhouse system control method

Abstract

The invention relates to a crop control model driven intelligent greenhouse system control method, belonging to the technical field of greenhouse control systems. The method includes according to the requirement of the mechanism parameters of crop inner growth and development, crop output, economy and quality need, determining the interaction quantification model of greenhouse environmental factors and mineral nutrient elements varying along the different growth stages of crops; acquiring the greenhouse environmental factor data and acquiring the plant protection process data; based on the constructed interaction quantification model, the plant protection gardening quantification model, and the greenhouse environmental factor data, driving the greenhouse equipment and reminding the plant protection personnel to control the greenhouse environmental factors and gardening operations; and adjusting and optimizing the interaction quantification model and the plant protection gardening quantification model according to the data and information in the production process to be further applied to the production. Therefore, the whole crop control system runs in a closed-loop autonomous positive optimization way.

Description

technical field [0001] The invention relates to a control method for a smart greenhouse system driven by a crop control model, and belongs to the technical field of greenhouse control systems. Background technique [0002] With the development of greenhouse cultivation, it is becoming more and more common to grow crops through greenhouses. The main purpose of the greenhouse is to change the crop growth environment. According to the best growth conditions for crop growth, the greenhouse climate can be adjusted to meet the needs of crop growth throughout the year. It is not affected by climate and soil conditions and can avoid changes in the four seasons of the outside world. It is a greenhouse facility that can produce a variety of different vegetables, flowers and other off-season crops on a limited land year round. [0003] However, the crops in the greenhouse require different production environments at different growth stages. For example, in the germination stage, seedl...

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Problems solved by technology

However, this method requires manual intervention to ensure the normal function of the system at different growth stages of the crops, and only realizes semi-automation.

In addition, the traditional greenhouse control system usually adopts single-factor control, the control method is relatively simple, but the interaction between environmental factors is ignored, and the changes and influences of other factors are not considered when adjusting a certain environmental factor.

For example, the influence of humidity changes on temperature is not considered when controlling temperature, and generally only a single temperature adjustment mechanism is controlled, and the influence of other actuator actions on temperature is not considered, so single-factor control is difficult to ensure that the multi-input and multi-output greenhouse control system has a good performance. The control effect

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