CN-122018321-A - Environment dynamic self-adaptive control method, system and storage medium based on climate drive

CN122018321ACN 122018321 ACN122018321 ACN 122018321ACN-122018321-A

Abstract

The invention discloses a climate-driven environment dynamic self-adaptive control method, a system and a storage medium, and belongs to the technical field of intelligent control of greenhouse environments. The method comprises the steps of firstly completing system initialization and control mode selection, collecting environment parameters through multiple sensors, calculating effective accumulated temperature GDD on line, accurately identifying a growth stage of a target crop based on a GDD value and combining a hysteresis tolerance mechanism, matching a corresponding staged environment control target, dynamically adapting an environment control threshold according to GDD deviation, driving an executing mechanism by adopting a fractional hysteresis control strategy on temperature, humidity and illumination, simultaneously being compatible with an automatic and manual control mode, and circularly executing to realize real-time dynamic matching of physiological requirements of different growth stages of the greenhouse environment parameters and the target crop. The invention brings the crop climate information into a regulation decision, and solves the problems of low matching degree and poor stability of the traditional fixed threshold control.

Inventors

CHEN SHUXIN
LI YONGCHAO
KANG LI
LU ZHIJIE
GU XIAOHUA
LIU YAN
JIANG ZEYU

Assignees

桂林航天工业学院
齐齐哈尔大学
盐城师范学院

Dates

Publication Date: 20260512
Application Date: 20260325

Claims (10)

1. The utility model provides an environment dynamic self-adaptive control method based on climate drive, which is applied to a greenhouse environment control system comprising a Programmable Logic Controller (PLC), and is characterized by comprising the following steps: s1, initializing a system, detecting a state, and selecting a control mode according to a detection result; S2, acquiring environmental parameters according to a sampling period delta t through a PLC (programmable logic controller) and calculating and updating the effective accumulated temperature (GDD) on line, ; In the above-mentioned method, the step of, For accumulating the effective accumulated temperature at the moment t , For the average air temperature (deg.c) during the sampling period at time t, Is the growth basal temperature (° C.) of the target crop, For the sampling time interval (d), A maximum function representing taking an effective heat accumulation; S3, dynamically identifying and confirming the growth stage of the target crop based on the physical period of the GDD; S4, confirming a corresponding staged environmental control target value according to the growth stage of the target crop; S5, dynamically adapting the environmental control target value based on the deviation of the current GDD and the theoretical GDD to generate a dynamic environmental control reference value; s6, comparing the environmental parameters acquired in real time with the dynamic environmental control reference values, and driving an executing mechanism to act based on hysteresis control logic; s7, circularly executing S2 to S6, and realizing self-adaptive control of the greenhouse environment.
2. The method for dynamically adaptively controlling environment according to claim 1, wherein the step of dynamically identifying the growth stage of the target crop based on the weather period of the target crop by the GDD comprises the step of determining that the GDD (t) falls within a threshold interval corresponding to the ith growth stage of the target crop If the GDD (t) is continuously satisfied, judging that the target crop is in the ith growing stage And duration of When the growth stage of the target crop is switched to the next stage, wherein, Represent the first GDD hysteresis tolerance for the reproductive phase, taken as 10% of the maximum threshold for that phase, The duration overrun time threshold is set to 1h.
3. The climate drive-based environmental dynamic adaptive control method of claim 2, wherein the environmental control target values comprise a nominal temperature, a nominal relative humidity, and a nominal illumination intensity.
4. The method for dynamically and adaptively controlling an environment based on a climate drive according to claim 3, wherein the deviation calculation formula of the current GDD and the theoretical GDD is: 。
5. The method for dynamically adapting environmental control according to claim 4, wherein the dynamically adapting environmental control target value comprises establishing a functional relationship between the dynamic environmental control target value and the GDD deviation by adjusting a coefficient k, wherein the adjusting coefficient k takes a value range of 0.3-0.5 in a growth sensitive period of the target crop and takes a value range of 0.6-0.8 in a growth vigorous period.
6. The method of claim 5, wherein comparing the real-time collected environmental parameters with the dynamic environmental control reference values and driving the actuator based on hysteresis control logic comprises setting hysteresis bandwidths for the environmental parameters independently, driving the actuator when the real-time environmental parameters exceed the threshold intervals of the corresponding hysteresis bandwidths, and stopping driving the actuator when the parameters return to the intervals.
7. The method of claim 6, wherein for the temperature control, a temperature hysteresis bandwidth is set When (when) When the driving is performed, the heating is started When the temperature is lowered, start-up cooling is performed Stopping at the time, setting the hysteresis bandwidth of the relative humidity for the relative humidity control When (when) When it is, start humidification is performed, when When start-up dehumidification is performed Stopping the control of the illumination intensity, and setting the hysteresis bandwidth of the illumination intensity When (when) When the light is started, the light supplementing is performed When the sunshade is started, And stopping.
8. The method of claim 7, further comprising a manual control mode in which the PLC masks the automatic control logic to directly respond to commands from a human-machine interface (HMI) to individually control the actuators.
9. An environment dynamic self-adaptive control system based on a climate drive, which is characterized by comprising: At least one PLC controller; A plurality of environmental parameter sensors in communication with the PLC controller; The environment adjusting execution mechanisms are driven by the PLC; a human-machine interface (HMI) connected with the PLC controller for parameter setting, status display and mode switching; wherein the PLC controller is configured to perform the control method of any one of claims 1 to 8.
10. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the control method according to any one of claims 1 to 8.

Description

Environment dynamic self-adaptive control method, system and storage medium based on climate drive Technical Field The invention particularly relates to an environment dynamic self-adaptive control method and system based on a climate drive and a storage medium, and relates to the technical field of intelligent control of greenhouse environments. Background For the sprouting vegetables with high added value, the quality, the yield and the growth period of the sprouting vegetables are comprehensively influenced by micro-environmental factors in a greenhouse, such as temperature, humidity and illumination. The requirements of the target crops on environmental factors in different climatic stages, such as germination, growth and maturation stages, are significantly different. For example, the germination period requires a proper temperature and humidity to promote The seedlings can come in and come out quickly, enough illumination and proper temperature are needed in the growing period to be beneficial to nutrition accumulation, and the environment is needed to be regulated and controlled accurately in the maturing period. At present, two main technical schemes of a fixed threshold control method and a multi-stage static control method are mainly adopted for greenhouse environment control, wherein the fixed threshold control method sets a set of fixed upper and lower limits of environmental parameters for the whole growth period, and a corresponding executing mechanism is started when the detection value of a sensor is out of limit. The method ignores the dynamic physiological requirement of crops, belongs to typical open-loop control, has low control precision and is easy to cause growth unbalance, and the multistage static control method divides the growth period into a plurality of stages according to experience and sets a static environment parameter threshold value for each stage. The prior art has the following main defects that the first physiological requirement matching degree is low. The control decision is not directly coupled with the real weather process of the crops, so that time lag exists between the environment supply and the physiological demands of the crops, and the problems of unbalanced growth rate, reduced stress resistance and uneven quality are easily caused. Second, the lack of adaptive adaptation capability. The greenhouse microclimate is easily and strongly influenced by disturbance of external meteorological conditions, the fixed threshold control strategy cannot dynamically correct environmental targets according to the actual growth speed of crops, and random fluctuation of the microclimate is difficult to cope with. Third, the system has poor running stability, instantaneous environmental fluctuation near the boundary of a wide value is not considered, so that the judgment of flicker or frequent start and stop of an actuating mechanism in the growth stage is easy to cause, the energy consumption is increased, and the service life of equipment is seriously shortened. Therefore, an intelligent regulation and control method capable of coupling the environment control and the real growth process of crops in real time and having the dynamic self-adaptive regulation capability is needed to solve the technical problems. Disclosure of Invention In order to solve the above-mentioned problems in the background art, an object of the present invention is to provide a method, a system and a storage medium for dynamically and adaptively controlling an environment based on a climate drive, which comprises: s1, initializing a system, detecting a state, and selecting a control mode according to a detection result; s2, according to the sampling period through the PLC Environmental parameters are collected and updated on-line calculated to the effective heat accumulation (GDD), In the above-mentioned method, the step of,For accumulating the effective accumulated temperature at the moment t,For the average air temperature (deg.c) during the sampling period at time t,Is the growth basal temperature (° C.) of the target crop,For the sampling time interval (d),A maximum function representing taking an effective heat accumulation; S3, dynamically identifying and confirming the growth stage of the target crop based on the physical period of the GDD; S4, confirming a corresponding staged environmental control target value according to the growth stage of the target crop; S5, dynamically adapting the environmental control target value based on the deviation of the current GDD and the theoretical GDD to generate a dynamic environmental control reference value; s6, comparing the environmental parameters acquired in real time with the dynamic environmental control reference values, and driving an executing mechanism to act based on hysteresis control logic; s7, circularly executing S2 to S6, and realizing self-adaptive control of the greenhouse environment. Preferably, the dynamic identification of the weath