CN-122028265-A - Intelligent illumination control system for greenhouse plant growth

CN122028265ACN 122028265 ACN122028265 ACN 122028265ACN-122028265-A

Abstract

The invention relates to the technical field of facility agriculture and environmental control, and discloses an intelligent illumination control system for greenhouse plant growth, which aims at solving the problems that the existing light supplementing strategy lacks physiological feedback, is easy to cause light damage and causes shutdown due to sensor faults. The system collects non-photochemical quenching coefficients (NPQ) and environmental factors of crops in real time, dynamically calculates light saturation points by utilizing a multi-factor coupling model, automatically adjusts spectrum proportion when the NPQ exceeds a threshold value to inhibit light stress, combines three-dimensional canopy scanning to realize grid differential light supplementing, reconstructs virtual parameters based on temperature trend to maintain fault-tolerant operation when a sensor fails, estimates air hole conductivity according to air humidity and matrix conductivity, dynamically corrects target light intensity to avoid water deficiency aggravation, realizes accurate light supply according to needs, remarkably improves photosynthetic efficiency and system reliability, and is suitable for plant factories and multi-span greenhouses.

Inventors

JIANG ZEYU
WU LUNFENG
YANG ZHENKE
ZHANG WENJI
HUANG JIANBANG

Assignees

华南农业大学

Dates

Publication Date: 20260512
Application Date: 20260402

Claims (6)

1. The intelligent illumination control system for greenhouse plant growth is characterized by comprising a multi-mode sensing component, a central processing unit and a dynamic spectrum execution component, wherein the multi-mode sensing component is used for sensing the plant growth; The multi-mode sensing component is used for collecting physiological state parameters and environmental factor data of crop canopy in real time and comprises a physiological state detection unit for detecting the physiological state of the crop; the central processing unit is respectively connected with the multi-mode sensing assembly through signals, and a stress judging module and a performance calculating module are preset in the central processing unit; the dynamic spectrum execution assembly is in signal connection with the central processing unit and comprises a multi-channel independently addressed LED array, wherein the LED array comprises a plurality of light sources with different wave bands; the stress judgment module generates a physiological state mark according to the physiological state parameter; The efficiency calculation module calls a multi-factor coupling model according to the environmental factor data to calculate a dynamic light saturation point; the central processing unit generates a control instruction containing driving parameters of the light sources of all channels according to the physiological state marks and the dynamic light saturation points and sends the control instruction to the dynamic spectrum execution assembly.
2. The intelligent illumination control system for greenhouse plant growth of claim 1, wherein the physiological state parameters include at least a non-photochemical quenching coefficient (NPQ), and the environmental factor data includes at least a carbon dioxide concentration and a leaf temperature; The execution logic of the central processing unit comprises: When the non-photochemical quenching coefficient (NPQ) exceeds a preset threshold, judging a light stress state, and preferentially executing a stress inhibition strategy, wherein the stress inhibition strategy comprises the steps of reducing the output proportion of a blue light wave band light source and improving the output proportion of a far-red light wave band light source; And when the non-photochemical quenching coefficient (NPQ) does not exceed a preset threshold, judging to be in a normal state, executing a dynamic optimizing strategy, calculating a target photosynthetic effective radiation threshold by utilizing a multi-factor coupling model based on the current carbon dioxide concentration and the temperature of the blade, and adjusting the output intensity of a red light wave band and a blue light wave band in the LED array according to the difference value between the target photosynthetic effective radiation threshold and the natural light intensity.
3. The intelligent lighting control system for greenhouse plant growth of claim 2, wherein the multi-modal sensing assembly further comprises an air humidity sensor and a substrate conductivity sensor; the central processing unit is also provided with a cooperative correction module for estimating crop stomata conductivity according to the air humidity and the matrix conductivity; When the estimated air hole conductivity is lower than a preset lower limit, the cooperative correction module carries out reduction correction on the target photosynthetic effective radiation threshold value in the dynamic optimizing strategy so as to reduce the output intensity of the light source.
4. The intelligent illumination control system for greenhouse plant growth according to claim 1, wherein the multi-mode sensing component further comprises a three-dimensional canopy scanning unit for acquiring three-dimensional height distribution data of crop canopy; the LED array in the dynamic spectrum execution assembly is divided into a plurality of independently controlled space grids; The central processing unit recognizes the height difference of the canopy in each space grid according to the three-dimensional height distribution data, and carries out differential adjustment on the output intensity of the light source in different space grids so as to homogenize the light quantum flux density distribution on the surface of the canopy.
5. The intelligent illumination control system for greenhouse plant growth of claim 1, wherein the central processing unit further comprises a fault tolerant processing module; when the multi-mode sensing component has data abnormality, the fault tolerance processing module reconstructs virtual physiological state parameters based on the canopy temperature change trend and the historical operation data and switches to a preset safe spectrum mode operation.
6. The intelligent illumination control system for greenhouse plant growth according to claim 1, wherein the peak wavelength of the red light wave band in the LED array is 655nm-665nm, the peak wavelength of the blue light wave band is 445nm-455nm, and the peak wavelength of the far-red light wave band is 725nm-735nm; the physiological state detection unit is a chlorophyll fluorescence imager or a hyperspectral camera.

Description

Intelligent illumination control system for greenhouse plant growth Technical Field The invention relates to the technical field of facility agriculture and environmental control, in particular to an intelligent illumination control system for greenhouse plant growth. Background With the rapid development of facility agriculture, artificial light supplement has become a key means for adjusting the growth cycle of crops and improving the yield and quality, but the existing greenhouse plant illumination control system is mainly based on open loop control of environmental factors or static adjustment of fixed spectrum proportion, the system mainly depends on illuminance sensors or preset timetables to work, and lacks of coupling calculation of multiple factors such as carbon dioxide, temperature and the like, so that the physiological state of crops cannot be perceived in real time, and the blind light supplement mode causes that when the air holes of crops are closed due to stress such as high temperature, water shortage and the like, the system still continues to output with high intensity, so that not only is electric energy wasted, but also light inhibition phenomenon is aggravated, and even leaf burn is caused. In addition, the prior art generally lacks a dynamic spectrum adjustment mechanism based on crop real-time physiological feedback (such as non-photochemical quenching coefficient NPQ), can not dissipate excessive light energy by adjusting spectrum proportion (such as increasing far-red light) at the early stage of light stress occurrence so as to lead crops to be in a sub-health state for a long time, meanwhile, the traditional LED array is generally and uniformly controlled as a whole, the problem of uneven light receiving caused by crown height difference is ignored, the system is highly dependent on the accuracy of sensor data, once a key detection unit fails, a user usually stops directly or outputs an error command, the fault tolerance capability based on reconstruction parameters of historical data is lacking, and the operation reliability and the energy efficiency of the system are seriously influenced. In summary, in the prior art, there is a need for an intelligent illumination control system for greenhouse plant growth, which can collect crop canopy physiological state parameters and environmental factor data in real time, dynamically calculate light saturation points through a multi-factor coupling model, intelligently adjust spectrum matching and spatial distribution according to physiological state marks, and has data abnormal fault tolerance reconstruction capability, so as to solve the technical problems of lag of the current light supplementing strategy, low energy efficiency and easiness in causing light damage. Disclosure of Invention (One) solving the technical problems Aiming at the defects of the prior art, the intelligent illumination control system for greenhouse plant growth provided by the invention has the advantages of real-time feedback adjustment based on the physiological state (such as NPQ) of crops, accurate calculation of dynamic light saturation points coupled by multiple environmental factors, self-adaptive optimization of spectrum proportioning and spatial distribution, fault-tolerant reconstruction under sensor faults and the like, and solves the problems that the traditional light supplementing strategy is 'blind light supplementing' and light inhibition damage caused by lack of physiological perception, fixed spectrum cannot effectively relieve light stress, uneven light receiving of a canopy and low operation reliability caused by single sensor dependence of the system. (II) technical scheme In order to achieve the purposes of solving the problems of lag, low energy efficiency and easiness in causing light damage of the traditional light supplementing strategy and improving the operation reliability of the system and the photosynthetic efficiency of crops, the invention provides the technical scheme that the intelligent illumination control system for greenhouse plant growth comprises a multi-mode sensing component, a central processing unit and a dynamic spectrum executing component, wherein the multi-mode sensing component is used for sensing the growth of the greenhouse plant; The multi-mode sensing component is used for collecting physiological state parameters and environmental factor data of crop canopy in real time and comprises a physiological state detection unit for detecting the physiological state of the crop; the central processing unit is respectively connected with the multi-mode sensing assembly through signals, and a stress judging module and a performance calculating module are preset in the central processing unit; the dynamic spectrum execution assembly is in signal connection with the central processing unit and comprises a multi-channel independently addressed LED array, wherein the LED array comprises a plurality of light sources with d