CN-116560425-B - Greenhouse sharing management and control system and method based on self-adaption

CN116560425BCN 116560425 BCN116560425 BCN 116560425BCN-116560425-B

Abstract

The invention discloses a greenhouse sharing management and control system and method based on self-adaption, relates to the field of intelligent control and management of agricultural greenhouses, and aims to solve the problem that when the existing intelligent greenhouse is regulated and controlled by adopting a single environmental parameter, and multi-parameter regulation and control is involved, execution equipment may collide. The system comprises a system, a control management center, a greenhouse execution device and a control system, wherein the system is used for designing a greenhouse control strategy according to crops and planting areas planted in a greenhouse, setting parameter thresholds for the greenhouse control strategy, creating a plurality of control modes based on the greenhouse control strategy, determining whether acquired environment data containing different parameters exceeds the corresponding parameter thresholds, generating corresponding control instructions when the environment parameters exceed the corresponding parameter thresholds, and the greenhouse execution device is used for selecting the corresponding control modes according to the control instructions to regulate the greenhouse environment. The system and the method adopt multi-greenhouse environment parameter regulation and control, realize scientific, accurate and automatic control of the greenhouse environment, and have strong practicability.

Inventors

CHEN GUO
SU XIAOWEI
TANG CHENG
CHEN JIAJIA
LIU ZHENGBO
LI LULIN
WANG ZHENQI
WANG JIANG
ZHOU TING
MENG QINGWEI

Assignees

贵州航天智慧农业有限公司

Dates

Publication Date: 20260508
Application Date: 20230421

Claims (7)

1. An adaptive greenhouse sharing management and control system, comprising: the control management center is used for designing a greenhouse control strategy according to crops planted in a greenhouse and a planting area, setting a parameter threshold value for the greenhouse control strategy, and creating various control modes based on the greenhouse control strategy; Determining whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold value, and generating a corresponding control instruction when the environmental parameters exceed the corresponding parameter threshold value; the greenhouse execution equipment is used for selecting a corresponding control mode according to the control instruction to adjust the greenhouse environment, wherein the control mode comprises manual control and automatic control; The automatic control adopts an adaptive weight decision model, and when the environment parameters with strong coupling are contradictory, a strategy to be executed is determined based on a decision model formula of the adaptive weight; Wherein when the first environmental parameter is smaller than the minimum threshold value of the custom strategy, Z= (T min -T), when the first environmental parameter is larger than the maximum threshold value of the strategy, Z= (T-T max ),[t min ,t max ) represents the threshold value range set by the first environmental parameter in the custom strategy, T represents the current value of the first environmental parameter, when the second environmental parameter is smaller than the minimum threshold value of the custom strategy, N= (H min -H), when the second environmental parameter is larger than the maximum threshold value of the custom strategy, N= (H-H max ),[h min ,h max ) represents the threshold value range set by the second environmental parameter in the custom strategy, and H represents the current value of the second environmental parameter; And Log (x) is expressed as a logarithmic function of x, and a control management center judges the operation to be executed by the greenhouse execution equipment according to the solved y value; the control management center is also used for constructing an execution rule for the greenhouse execution device; Setting 0.4 as a judgment standard of an execution value in the self-adaptive weight decision model, and executing the execution action of the environment parameter with a larger self-adaptive weight median when the execution value is more than or equal to 0.4, and executing the execution action of the environment parameter with a smaller self-adaptive weight median when the execution value is less than 0.4; The execution time is one period of one hour, and the execution time of the temperature execution device is as follows: the execution time of the humidity execution device is as follows: and after the execution device completes one cycle, if the greenhouse execution device still conflicts, the next cycle is continued to be executed.
2. The adaptive greenhouse sharing control system according to claim 1, wherein the greenhouse control policy set by the control management center sets a 24-hour temperature policy, a 24-hour humidity policy, and a 24-hour crop illumination policy, respectively, in an hour unit, and sets a planting calendar according to the characteristics of the planted crops.
3. The adaptive greenhouse-based shared management and control system according to claim 1, wherein the control management center is further configured to create an expert policy module, a custom policy module, and a shared policy module: The expert strategy module is used for setting the optimal growth threshold value according to the crop planting characteristics and aiming at different growth stages of crops, forming a crop planting expert strategy and storing the crop planting expert strategy; The self-defining strategy module is used for setting a planting calendar in a system according to requirements and crop characteristics, self-defining a temperature strategy, a humidity strategy and an optimal threshold value of a crop illumination strategy, and selecting whether to share the self-defining strategy according to the requirements; the sharing strategy module is used for displaying all sharing custom strategies, and selecting a proper sharing strategy according to regions or crops to control the greenhouse.
4. The adaptive greenhouse-based shared control system of claim 1, further comprising an environmental monitoring module for collecting the environmental data; the environment monitoring module comprises a temperature acquisition device, a humidity acquisition device and an illumination intensity sensor; and respectively sending the acquired temperature data, humidity data and illumination data to the control management center.
5. The adaptive greenhouse-sharing control system according to claim 1, further comprising an alarm device for alerting when the environmental data exceeds a threshold corresponding to the parameter.
6. The greenhouse sharing control method based on self-adaption is characterized by comprising the following steps of: Step 10, designing a greenhouse control strategy according to crops planted in a greenhouse and a planting area, setting a parameter threshold value for the greenhouse control strategy, and creating a plurality of control modes based on the greenhouse control strategy; Step S20, determining whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold value, and generating a corresponding control instruction when the environmental parameters exceed the corresponding parameter threshold value; Step S30, the greenhouse execution equipment selects a corresponding control mode according to the control instruction to adjust the greenhouse environment, wherein the control mode comprises manual control and automatic control; The automatic control adopts an adaptive weight decision model, and when the environment parameters with strong coupling are contradictory, a strategy to be executed is determined based on a decision model formula of the adaptive weight; Wherein when the first environmental parameter is smaller than the minimum threshold value of the custom strategy, Z= (T min -T), when the first environmental parameter is larger than the maximum threshold value of the strategy, Z= (T-T max ),[t min ,t max ) represents the threshold value range set by the first environmental parameter in the custom strategy, T represents the current value of the first environmental parameter, when the second environmental parameter is smaller than the minimum threshold value of the custom strategy, N= (H min -H), when the second environmental parameter is larger than the maximum threshold value of the custom strategy, N= (H-H max ),[h min ,h max ) represents the threshold value range set by the second environmental parameter in the custom strategy, and H represents the current value of the second environmental parameter; And Log (x) is expressed as a logarithmic function of x, and a control management center judges the operation to be executed by the greenhouse execution equipment according to the solved y value; the control management center is also used for constructing an execution rule for the greenhouse execution device; Setting 0.4 as a judgment standard of an execution value in the self-adaptive weight decision model, and executing the execution action of the environment parameter with a larger self-adaptive weight median when the execution value is more than or equal to 0.4, and executing the execution action of the environment parameter with a smaller self-adaptive weight median when the execution value is less than 0.4; The execution time is one period of one hour, and the execution time of the temperature execution device is as follows: the execution time of the humidity execution device is as follows: and after the execution device completes one cycle, if the greenhouse execution device still conflicts, the next cycle is continued to be executed.
7. The adaptive greenhouse sharing control method according to claim 6, wherein the design of the greenhouse control strategy comprises the steps of: s11, creating an expert strategy module, setting an optimal growth threshold according to crop planting characteristics and different growth stages of crops, forming a crop planting expert strategy and storing the crop planting expert strategy; S12, creating a custom strategy module, setting a planting calendar in a system according to requirements and crop characteristics, custom setting optimal thresholds of a temperature strategy, a humidity strategy and a crop illumination strategy, and selecting whether to share the custom strategy according to the requirements; and S13, creating a sharing strategy module, displaying all shared custom strategies, and selecting a proper sharing strategy according to regions or crops to control the greenhouse.

Description

Greenhouse sharing management and control system and method based on self-adaption Technical Field The invention relates to the technical field of intelligent control and management of agricultural greenhouses, in particular to a greenhouse sharing management and control system and method based on self-adaption. Background How to solve the problems of difficult management, high cost, resource waste and the like in the traditional agriculture becomes the primary problem facing the development of modern agriculture. The intelligent greenhouse can be built by breaking the limitation of regions and climates, acquiring real-time environmental data in the greenhouse by means of on-site hardware installation by means of combining software and hardware, and reasonably controlling the execution equipment in the greenhouse by combining a software system, so that the greenhouse environment most suitable for crop growth is created, and the purposes of improving crop yield and quality are achieved. At present, the intelligent greenhouse is regulated and controlled by adopting single environmental parameters, but the environmental parameters in the greenhouse are mostly provided with strong coupling, and when multi-parameter regulation and control are considered, the execution equipment can collide. Based on the method, the invention provides a greenhouse sharing management and control system based on self-adaption so as to solve the defects in the current practical application. Disclosure of Invention The invention aims to provide a greenhouse sharing management and control system and method based on self-adaption, which are used for solving the problem that execution equipment possibly collides when multi-parameter regulation is needed to be considered in the existing intelligent greenhouse regulation and control mostly adopting single environmental parameters for regulation and control. In order to achieve the above object, the present invention provides the following technical solutions: Provided is an adaptive greenhouse sharing management and control system, comprising: the control management center is used for designing a greenhouse control strategy according to crops planted in a greenhouse and a planting area, setting a parameter threshold value for the greenhouse control strategy, and creating various control modes based on the greenhouse control strategy; Determining whether the acquired environmental data containing different parameters exceeds the corresponding parameter threshold value, and generating a corresponding control instruction when the environmental parameters exceed the corresponding parameter threshold value; and the greenhouse execution equipment is used for selecting a corresponding control mode according to the control instruction and adjusting the greenhouse environment. Compared with the prior art, the invention has the following technical effects: According to agronomic knowledge, from the aspect of science, the greenhouse planting strategy based on expert knowledge is set, the sharing system is provided, the existing greenhouse crop planting strategy can be used by the sharing system, in addition, the self-defined strategy is provided, the proper greenhouse crop planting strategy can be built according to the self-demand, in order to solve the problem of collision of environmental parameters in the greenhouse, the embodiment of the invention also provides the decision model based on self-adaptive weight, so that equipment can make scientific and automatic regulation and control when meeting the collision, and intelligent greenhouse planting is realized. Combining expert knowledge and a sharing system, a planting strategy capable of covering different regions and different crops is provided from a scientific level, the problems that the traditional agricultural planting mode is lagged, unscientific and inaccurate are broken through, and the accurate planting of one crop, one region and one strategy is realized; In order to solve the problem of possible execution conflict of greenhouse execution equipment when multiple parameters are considered, the invention constructs a decision model with self-adaptive weight, takes the actual value of the current environmental parameter as a basic point, combines the parameter threshold range set in expert strategy, obtains the execution value of the current conflict equipment through weight and normalization calculation, and decides the equipment to be executed currently according to the calculated execution value, so that the execution equipment can realize scientific, accurate and automatic control when encountering conflict, and has strong practicability. The invention also provides a greenhouse sharing control method based on self-adaption, which comprises the following steps: Step 10, designing a greenhouse control strategy according to crops planted in a greenhouse and a planting area, setting a parameter threshold value for the greenhouse contro