Intelligent control method and system for multispectral plant light supplement lamp based on environmental perception

Abstract

The invention relates to the technical field of intelligent control, in particular to a multispectral plant light supplement lamp intelligent control method and system based on environmental perception, and the method comprises the steps: obtaining illumination and spectral data, carrying out the grouping and archiving, extracting a ratio, selecting a representative region, outputting illumination description, comparing variety absorption characteristics, screening plant types, and outputting absorption characteristic distribution. Judging an illumination and demand deviation identification insufficient area; outputting a light supplement demand; establishing a light source mapping structure chart; analyzing environmental disturbance; by monitoring illumination and plant light absorption characteristics in real time, light source output is accurately adjusted, it is ensured that plants obtain proper illumination, and light energy utilization is optimized. Light source layout, irradiation angle and spectrum adjustment are combined to form light supplementing mapping, and plant requirements and environment changes are responded. By controlling the time sequence and adjusting the output channel, the stability and adaptability of the system are improved, the illumination balance and efficiency are optimized, and healthy growth of plants is promoted.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, and in particular to an intelligent control method and system for multispectral plant supplemental lighting based on environmental perception. Background Technology

[0002] The field of intelligent control technology encompasses the use of computer algorithms and control systems for precise adjustment and automated management of equipment. It is widely applied in various industries such as automated production, smart homes, robotics, and agriculture, involving real-time feedback adjustments and autonomous optimization of complex systems. Its core components include environmental perception, data acquisition, decision analysis, and control command execution. By acquiring environmental data through sensors and other devices, intelligent control systems can respond in real time and make corresponding operational decisions, thereby achieving automated control processes, improving system efficiency, reducing human intervention, and enhancing the intelligence level of equipment.

[0003] Among them, the intelligent control method and system for multispectral plant supplemental lighting based on environmental perception refers to the automatic adjustment of light conditions in the plant growth environment by sensing environmental changes. Addressing the problem of insufficient light during plant growth, this system employs environmental perception technology combined with an intelligent control system for multispectral supplemental lighting. In this system, environmental sensing devices monitor the light intensity and spectral distribution around the plants in real time. Combined with data collected by sensors, the system automatically adjusts the output spectrum and intensity of the supplemental lighting. Through data analysis and control strategies, it precisely controls light sources of different spectra, optimizes the light environment for plant growth, and improves light energy utilization efficiency. The core technologies include the combined application of environmental data acquisition, intelligent control algorithms, and light adjustment equipment.

[0004] Current technologies adjust light source output solely through monitoring light intensity, failing to provide fine-grained adjustments based on the spectral requirements of different plants. This leads to uneven light distribution or mismatches with plant needs in complex environments. The lack of analysis of plant species and distribution can result in uneven light distribution or excessive supplemental lighting, wasting energy and negatively impacting plant growth. Furthermore, due to their inability to effectively address environmental disturbances, current technologies have weak control over dynamic light changes, making it difficult to adapt to variations in light requirements throughout the plant's growth cycle, thus affecting light utilization and system stability. Summary of the Invention

[0005] To address the technical problems existing in the prior art, embodiments of the present invention provide a method and system for intelligent control of multispectral plant supplemental lighting based on environmental perception. The technical solution is as follows: The intelligent control method for multispectral plant supplemental lighting based on environmental perception includes the following steps: S1: Obtain the current illuminance and spectral data of each light collection point, group them according to spatial number, extract the illuminance intensity and red-blue spectrum ratio of each collection point, calculate the spectral shift direction and change, organize the light difference information of representative light areas, and output the light distribution description set of plant areas. S2: Call the plant variety type information corresponding to the region number contained in the plant region light distribution description set, determine the plant's sensitivity to light based on the plant's red light response direction and blue light absorption capacity, screen out plant types with significant differences in red or blue light absorption, and output the light absorption feature distribution set. S3: Based on the light absorption feature distribution set, determine the deviation between the actual and required red and blue spectral data of the plant, identify areas where the light intensity is insufficient or does not match the needs of the plant, record the spectral compensation requirements and response requirements, and output a list of multispectral action requirements. S4: Using the located points in the multispectral action requirement list, match the output ranges of the red and blue light channels, determine the illumination angle and coverage of each light source, establish the mapping structure between the supplementary lighting area and the light source, and output the array supplementary lighting mapping structure diagram.

[0006] As a further aspect of the present invention, the plant area light distribution description set includes illuminance intensity, red-blue spectral ratio, spectral shift direction, spectral variation, representative light-exposed areas and their differences; the light absorption characteristic distribution set includes plant variety number, red light response direction, blue light absorption capacity, illuminance threshold, plant type and density, and light sensitivity; the multispectral action requirement list includes areas with insufficient light intensity, deviation between light requirements and actual plant requirements, spectral compensation requirements and response requirements; the array supplementary lighting mapping structure diagram includes light source illumination angle, light source coverage area, light source installation location and its supplementary lighting area mapping relationship.

[0007] As a further aspect of the present invention, the step of obtaining the plant region light distribution description set is as follows: S101: Obtain the current illuminance value and spectral data of each light acquisition point, classify the data of different acquisition points according to the spatial number information, sort the dataset of each acquisition point according to the recording time, extract the illuminance value, red spectral value and blue spectral value based on the sorting result, calculate the red-blue spectral ratio of the acquisition point, and obtain the red-blue ratio sequence of each acquisition point. S102: Based on the red-blue ratio sequence, for each sampling point, call the red-blue ratio change value and illuminance value change value of its continuous time points, and perform difference calculation with the previous recorded value of the sampling point in the time series to calculate the spectral shift direction and numerical change amount, and obtain the shift change trend of each sampling point. S103: Based on the offset change trend, call the corresponding illuminance value sequence of each collection point, determine the difference in the range of illuminance value intervals, compare the distribution density of each illuminance interval with the change in the spectral offset direction, select the collection points with large differences and concentrated change directions as representative areas, extract their corresponding illuminance value intervals and spectral change values, and generate a light distribution description set for the plant area.

[0008] As a further aspect of the present invention, the step of obtaining the light absorption feature distribution set is as follows: S201: Call the region number contained in the plant region light distribution description set, obtain the plant variety number and planting distribution information configured under each region, and according to the red light response direction parameter value and blue light absorption capacity parameter value recorded in the plant variety type information corresponding to the plant variety number, divide the plants into multiple illuminance response groups according to the variety number through the set illuminance threshold, and generate a plant variety illuminance response classification table. S202: Based on the plant variety illuminance response classification table, call the regional distribution number and plant quantity parameter of the corresponding plant variety number, calculate the plant density value per unit area of ​​each illuminance response group in the region, compare the plant density value per unit area with the illuminance threshold of the corresponding group, screen out the plant groups that produce response changes to the illuminance threshold, and obtain the light-sensitive response density set. S203: Based on the light-sensitive response density set, calculate the difference between the red light response direction parameter value and the blue light absorption capacity parameter value in each plant group, extract the plant group number that meets the red and blue light absorption difference rate threshold in the difference sequence and map it to the original plant region distribution number to form a plant type correspondence table with significant red and blue light absorption differences in each region, and obtain the light absorption feature distribution set.

[0009] As a further aspect of the present invention, the step of obtaining the multispectral action requirements list is as follows: S301: Obtain the illuminance value and spectral information from the light distribution description set of the plant area, compare the red and blue spectral values ​​corresponding to each illuminance data point in the light absorption feature distribution set point by point, calculate the deviation between the illuminance data and spectral information at each point, and determine whether the light intensity at each collection point meets the preset requirement based on the set spectral requirement benchmark value, and obtain the deviation value between the light data and spectral information. S302: Based on the deviation value between the illumination data and spectral information, compare the spectral data and the required value in each plant area to determine whether there is a shortage or mismatch of red or blue spectral data in each plant area. Combine the deviation value between illumination intensity and required value to obtain the spectral compensation requirement information for areas with mismatched illumination intensity. S303: Based on the spectral compensation requirement information of the mismatched illumination intensity area, compile a list of spectral compensation requirements and response requirements, output the red and blue light compensation amount and target response value required for illumination compensation in each area, and generate a list of multispectral action requirements.

[0010] As a further aspect of the present invention, the step of obtaining the array fill light mapping structure diagram is as follows: S401: Using the located points in the multispectral action requirement list, obtain the target output value range of the red and blue light channels for each target point. Combine the channel number and output setting value of the corresponding point, and match the output range of the red and blue light channels according to the set spectral adjustment direction to generate the spectral channel output matching range. S402: Based on the matching interval of the spectral channel output, call the spatial position coordinates and installation angle data of the light source array, extract the spatial position and emission direction data corresponding to each light source, filter the target points according to the illumination angle and spatial coverage range, and obtain the light source illumination coverage distribution range value. S403: Based on the illumination coverage distribution range value of the light source, combined with the spectral channel output matching interval, according to the combination relationship between the illumination point and the channel setting value, extract the corresponding structural information between the supplementary light area and the light source, construct the mapping relationship between the channel number, the illumination angle and the area position, and establish an array supplementary light mapping structure diagram.

[0011] As a further aspect of the present invention, the method further includes: S5: Call the output path of the points contained in the array fill light mapping structure diagram, retrieve the amount of light fluctuation change, read the environmental change trend analysis of the disturbance level of the external environment on the light source control, adjust the control timing of the fill light and the response of each light source output channel, and output the fill light action control timing sequence. The timing sequence for adjusting the supplementary lighting action includes control timing adjustment, light source output channel response, and external environmental disturbance analysis.

[0012] As a further aspect of the present invention, the step of obtaining the timing sequence of the supplementary lighting action is as follows: S501: Call the output path of the points contained in the array supplementary light mapping structure diagram, obtain the light sensor value, temperature sensor value and humidity sensor value under each output path, retrieve the continuous data under adjacent time nodes, calculate the difference sequence of light value and the temperature and humidity change range, and establish the external environment disturbance cycle time range according to the time period when the change amplitude is greater than the light fluctuation response threshold, temperature fluctuation response threshold and humidity fluctuation response threshold. S502: Based on the disturbance cycle time interval, call the light source on / off data and the lighting demand interval of the plant growth cycle within each disturbance cycle time interval, calculate the overlap ratio between the light source switching frequency value and the plant lighting demand time interval within each time interval, and perform interval discrimination based on the overlap ratio and the light sufficiency threshold to filter out the light source control offset segment. S503: Based on the light source control offset section, adjust the response sequence and control duration of the fill light channel output, construct the light source on / off state matrix, and generate an action timing sequence for performing the control operation by comparing the channel number assigned to each point in the original array fill light structure diagram with the order of the control response sequence.

[0013] A multispectral plant supplemental lighting intelligent control system based on environmental perception, the system comprising: The light acquisition grouping module acquires the illuminance values ​​and red and blue light spectrum data of each illuminance acquisition point in the plant area, groups them according to spatial location codes, arranges each group of data according to time order, extracts the illuminance intensity and red-blue light ratio of each point, calculates the direction of spectral change and fluctuation amplitude, selects representative areas, sorts out the differences in light distribution in each representative area, and outputs a light distribution description set of the plant area. The absorption feature extraction module calls the region numbers contained in the light distribution description set of the plant region to obtain the corresponding plant variety type information, extracts the red light response direction and blue light absorption capacity of each plant, judges the light sensitivity of the plant based on the illuminance range and species distribution density, filters out the plant types that have different absorption of red and blue light, and outputs the light absorption feature distribution set. The spectral deviation identification module, based on the illuminance value and red-blue light ratio of each region in the light distribution description set of the plant region, calls the absorption direction of the plant type in the light absorption feature distribution set, compares the deviation between the actual red and blue light values ​​and the required direction, determines whether the red and blue light illuminance of each region meets the absorption requirements, identifies the light mismatch area, records the adjustment direction and intensity required for the red and blue light channels, and outputs a list of multispectral action requirements. The array output mapping module references the region and channel adjustment direction in the multispectral action requirement list, combines the position distribution and channel type of the light source array, obtains the illumination direction and coverage number of the light source, matches the adjustment direction with the required output combination form, establishes the control relationship between each supplementary lighting region and the light source array, and outputs the array supplementary lighting mapping structure diagram. The timing generation module calls the light source output path in the array supplementary lighting mapping structure diagram, monitors the current environmental illuminance change trend and temperature and humidity fluctuation trend in the plant area, judges the disturbance level of environmental factors on the output of the light source channel, and adjusts the supplementary lighting response channel and control interval of each light source according to the opening and closing frequency of the supplementary lighting channel and the time period requirements of the plant growth cycle, and outputs the timing sequence of supplementary lighting action regulation.

[0014] The beneficial effects of the technical solutions provided by the embodiments of the present invention include at least the following: In this invention, by sensing ambient light and the light absorption characteristics of plants in real time, the output of the light source can be precisely adjusted to ensure that plants receive suitable lighting conditions. Especially in multispectral supplemental lighting systems, the dynamic monitoring and adjustment of illuminance and spectrum optimizes the light energy utilization efficiency of different plants. This scheme combines light source layout, illumination angle, and spectral adjustment direction to form a precise light source supplemental lighting mapping, enabling the supplemental lighting system to respond to changes in plant needs and adapt to fluctuations in ambient light. Simultaneously, by controlling the timing and adjusting the output channels, it effectively responds to changes in the external environment, improves the stability of the light source system and its adaptability to light requirements, thereby significantly improving the light balance and light efficiency of the plant growth environment. Attached Figure Description

[0015] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a flowchart illustrating the process of obtaining the plant region light distribution description set according to the present invention. Figure 3 This is a flowchart illustrating the process of obtaining the light absorption feature distribution set in this invention. Figure 4 This is a flowchart illustrating the process of obtaining the multispectral action requirements list for this invention. Figure 5 This is a flowchart illustrating the process of obtaining the array supplementary lighting mapping structure diagram of the present invention; Figure 6 This is a flowchart of the process for obtaining the timing sequence of the supplementary lighting action control in this invention. Detailed Implementation

[0016] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0017] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0018] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0019] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0020] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0021] Please see Figure 1 This invention provides a technical solution: an intelligent control method for multispectral plant supplemental lighting based on environmental perception, comprising the following steps: S1: Obtain the current illuminance and spectral data of each light collection point, group them according to spatial number, archive the data according to time order, extract the illuminance intensity and red-blue spectrum ratio of each collection point, calculate the spectral shift direction and change, select representative light areas, organize the light difference information of representative light areas, and output a description set of light distribution in plant areas. S2: Call the region number contained in the plant region light distribution description set, obtain the corresponding plant variety type information, extract the red light response direction and blue light absorption capacity of each plant, classify the plants according to the illuminance threshold, combine the plant variety distribution area and plant density to judge the plant's sensitivity to light, screen out the plant types with significant absorption differences to red or blue light, and output the light absorption feature distribution set. S3: Based on the illuminance and spectral information of the light distribution description set of the plant area, compare the absorption direction of the light absorption characteristic distribution set, compare the red and blue light values ​​point by point, determine the deviation between the actual red and blue spectral data of the plant and the demand, identify the areas with insufficient light intensity or mismatch with the plant's needs based on the difference between the illuminance data and the plant's light demand, record the spectral compensation demand and response requirements, and output a list of multispectral action requirements. S4: Using the already located points in the multispectral action requirement list, match the output range of the red and blue light channels, combine the actual physical layout and installation position of the light source array, determine the illumination angle and coverage of each light source, set the output combination according to the spectral adjustment direction, establish the mapping structure between the supplementary lighting area and the light source, and output the supplementary lighting mapping structure diagram of the array. S5: Call the output path of the points contained in the array supplementary lighting mapping structure diagram, retrieve the amount of light fluctuation change, read the changing trend of light, temperature and humidity factors in the environment, analyze the disturbance level of the external environment on the control of the light source, and adjust the control timing of the supplementary light and the response of each light source output channel according to the switching frequency of the light source and the lighting requirements of the plant growth cycle, and output the supplementary lighting action control timing sequence.

[0022] The plant region light distribution description set includes illuminance intensity, red-blue spectral ratio, spectral shift direction, spectral variation, representative light-exposed areas and their differences; the light absorption characteristic distribution set includes plant variety number, red light response direction, blue light absorption capacity, illuminance threshold, plant type and density, and light sensitivity; the multispectral action requirement list includes areas with insufficient light intensity, deviations between light requirements and actual plant needs, spectral compensation requirements and response requirements; the array supplementary lighting mapping structure diagram includes light source illumination angle, light source coverage, light source installation location and its supplementary lighting area mapping relationship; the supplementary lighting action control timing sequence includes control timing adjustment, light source output channel response, and external environmental disturbance analysis.

[0023] Please see Figure 2 The steps for obtaining the description set of light distribution in plant regions are as follows: S101: Obtain the current illuminance value and spectral data of each light acquisition point, classify the data of different acquisition points according to the spatial number information, sort the dataset of each acquisition point according to the recording time, extract the illuminance value, red spectral value and blue spectral value based on the sorting result, calculate the red-blue spectral ratio of the acquisition point, and obtain the red-blue ratio sequence of each acquisition point. The light acquisition network deployed inside the smart greenhouse, which includes J-ZHAZ photoelectric sensors spaced 1 meter apart, was invoked to acquire illuminance values ​​and red-blue spectral radiant flux density data at collection points A1 and A2 in zone A (lettuce planting) and collection points B1 and B2 in zone B (tomato planting) at 9:00:00 and 9:01:00 AM on July 25, 2025. The specific data is shown in Table 1. The data from each collection point was categorized and grouped according to the collection point numbers A1, A2, B1, and B2. Within each group, the data was sorted in ascending order based on the collection timestamp. For example, the data collection... The data sequence for point A1 is [(09:00:00, 20100 lux, R: 65 W / m², B: 52 W / m²), (09:01:00, 20500 lux, R: 67 W / m², B: 53 W / m²)]. From this sorted dataset, the illuminance value, red spectrum value (wavelength around 660 nm), and blue spectrum value (wavelength around 450 nm) for each time point are extracted. Then, the red-blue spectrum ratio for each sampling point at each time point is calculated by dividing the red spectrum value by the blue spectrum value. Taking the data from sampling point A1 at 09:00:00 as an example, its red-blue ratio is... Similarly, the red-blue ratio of A1 at 09:01:00 was calculated. By performing this calculation on all collection points and at all time points, the red-blue ratio sequence of each collection point is obtained.

[0024] Table 1: Greenhouse Light Data Collection Table As shown in Table 1, this table records the raw illumination data of four collection points in greenhouse A and B at two consecutive time points, providing basic data for subsequent spectral analysis and trend calculation.

[0025] S102: Based on the red-blue ratio sequence, for each sampling point, call the red-blue ratio change value and illuminance value change value of its continuous time points, and perform difference calculation with the previous recorded value of the sampling point in the time series to calculate the spectral shift direction and numerical change, and obtain the shift change trend of each sampling point. Based on the acquired red-blue ratio sequences of each sampling point, for example, the sequence for point A1 is (1.25, 1.26), and its corresponding illuminance value sequence (20100, 20500). Taking sampling point A1 as the processing unit, the red-blue ratio of 1.26 and the illuminance value of 20500 lux at 09:01:00 are retrieved, and the previous recorded value, i.e., the red-blue ratio of 1.25 and the illuminance value of 20100 lux at 09:00:00, is obtained. A difference operation is performed on the spectral data, calculated by subtracting the previous value from the current value, to obtain the change in the red-blue ratio of point A1. This positive value indicates that the spectral shift is in the direction of increasing red light proportion, with a numerical change of 0.01. Performing the same interpolation operation on the illuminance data at point A1 yields a change in illuminance value of... The value lux indicates an increase in light intensity. This difference is calculated by performing a differential calculation on continuous time data from all sampling points in areas A and B. For example, the red-to-blue ratio sequence for sampling point B1 is ( , The change in its red-blue ratio is The change in its illuminance value is lux is used to obtain the offset change trend of each collection point.

[0026] S103: Based on the offset change trend, call the corresponding illuminance value sequence of each collection point, determine the difference in the range of illuminance value intervals, compare the distribution density of each illuminance interval with the change in spectral offset direction, select the collection points with large difference amplitude and concentrated change direction as representative areas, extract their corresponding illuminance value intervals and spectral change values, and generate a description set of light distribution in plant areas. Based on the acquired offset change trends of each sampling point, the illuminance changes at sampling points A1 and A2 in area A are +400 lux and +450 lux, respectively, while those at sampling points B1 and B2 in area B are -600 lux and -650 lux, respectively. The illuminance value sequences corresponding to each sampling point are retrieved to determine the difference in their illuminance value ranges. The illuminance range for area A is [20100, 20800] lux, and for area B it is [27900, 28800] lux. The difference in illuminance values ​​between the two areas exceeds 7000 lux. Comparing the distribution density of each illuminance range, the illuminance values ​​within both areas A and B are relatively concentrated, with differences less than 500 lux. Meanwhile, comparing the changes in the spectral shift direction, the spectral shift direction of both points in region A is positive (red light increases), while the spectral shift direction of both points in region B is negative (red light decreases). This reflects the "concentrated change direction". The collection points with large differences and concentrated change directions are selected as representative areas. In this case, the light intensity in region B decreases and the spectrum shifts uniformly. Compared with the stable increase in region A, its change is more drastic. Therefore, region B is selected as a representative area. The corresponding illuminance value range [27900, 28500] lux and the spectral change value -0.02 of its representative collection point B1 are extracted to generate a description set of light distribution in the plant area.

[0027] Please see Figure 3 The steps for obtaining the light absorption feature distribution set are as follows: S201: Call the region number contained in the plant region light distribution description set, obtain the plant variety number and planting distribution information configured under each region, and according to the red light response direction parameter value and blue light absorption capacity parameter value recorded in the plant variety type information corresponding to the plant variety number, divide the plants into multiple illuminance response groups according to the variety number through the set illuminance threshold, and generate a plant variety illuminance response classification table. The system retrieves the region ID "B" from the plant region light distribution description set, obtains the plant variety ID "Tomato-01" and its planting distribution information for that region, and consults the "cherry tomato" variety type information recorded in the background database based on the plant variety ID. This information includes a red light response direction parameter value of 0.7 (normalized parameter, higher values ​​indicate a more active response) and a blue light absorption capacity parameter value of 0.85 (normalized parameter, higher values ​​indicate stronger absorption) for the vegetative growth stage. Plants are then classified by variety using a set illuminance threshold, which is derived from long-term light experiment data analysis of the "cherry tomato" variety. Experiments showed that the growth of this variety was limited when the light intensity was below 18,000 lux and showed signs of photoinhibition when it was above 35,000 lux. Therefore, the low light threshold was set to 18,000 lux, the lower limit of suitable light was 18,001 lux, the upper limit of suitable light was 35,000 lux, and the high light threshold was 35,001 lux. According to the current illuminance range of [27,900, 28,500] lux in area B, this value falls within the range of [18,001, 35,000] lux. Therefore, the "Tomato-01" variety in area B was classified into the "suitable light" response group, and a plant variety illuminance response classification table was generated.

[0028] S202: Based on the plant variety illuminance response classification table, call the regional distribution number and plant quantity parameter of the corresponding plant variety number, calculate the plant density value per unit area of ​​each illuminance response group in the region, compare the plant density value per unit area with the illuminance threshold of the corresponding group, screen out the plant groups that produce response changes to the illuminance threshold, and obtain the light-sensitive response density set. Based on the generated plant variety illumination response classification table, the regional distribution number "B" for the "Tomato-01" variety within region B and the plant quantity parameter were used. Region B was set to have an area of ​​10 square meters and a planting quantity of 35 plants. The plant density per unit area in region B was calculated by dividing the number of plants by the region area. The density value is compared with the illuminance threshold of the corresponding group. To screen plant groups that are sensitive to changes in light, a sensitivity judgment rule is set. That is, when the plant density per unit area is greater than 2.5 plants / m², and the plant group is in a "low light" or "high light" state, it is judged as sensitive. In the current case, the density of the "Tomato-01" variety in area B is 3.5 plants / m², which is greater than 2.5 plants / m², but it is in the "suitable light" group and does not respond to changes in the low light or high light threshold. If the light in area B drops to 17000 lux due to weather changes, its group will become "low light". At this time, the dual conditions of density and light status are met, and it will be screened out to obtain the light-sensitive response density set.

[0029] S203: Based on the light sensitivity response density set, calculate the difference between the red light response direction parameter value and the blue light absorption capacity parameter value in each plant group, extract the plant group number that meets the red and blue light absorption difference rate threshold in the difference sequence and map it to the original plant region distribution number to form a plant type correspondence table with significant red and blue light absorption differences in each region, and obtain the light absorption feature distribution set. Under assumed conditions (illuminance reduced to 17000 lux), a set of light-sensitive response densities was obtained, including the "Tomato-01-Low Illumination" group. The difference between the red light response direction parameter value (0.7) and the blue light absorption parameter value (0.85) within this group was calculated, and the absolute difference between the two was obtained as follows: The difference was compared with a preset threshold for the difference in red and blue light absorption, which was set to 0.1. The basis for this threshold is that statistical analysis of the spectral absorption data of more than 20 common economic crops revealed that when the normalized difference of the red and blue light absorption parameters is greater than 0.1, the photosynthetic efficiency improvement (>5%) brought about by differential spectral supplementation is economically viable. Therefore, the threshold was set to 0.1. Since the calculated difference of 0.15 is greater than the threshold of 0.1, it indicates that there is a significant difference in red and blue light absorption in this plant group. The plant group number "Tomato-01-low light" was extracted and mapped to the original plant region distribution number "B area", forming a correspondence table of plant types with significant red and blue light absorption differences in area B as "Tomato-01", thus obtaining the light absorption feature distribution set.

[0030] Please see Figure 4 The steps to obtain the multispectral action requirements list are as follows: S301: Obtain illuminance values ​​and spectral information from the light distribution description set of the plant area, compare the red and blue spectral values ​​corresponding to each illuminance data point in the light absorption feature distribution set point by point, calculate the deviation between illuminance data and spectral information at each point, and determine whether the light intensity at each collection point meets the preset requirement based on the set spectral requirement benchmark value, and obtain the deviation value between light data and spectral information. The illuminance value of 17000 lux and spectral information (red-blue ratio of 1.38) of region B in the light distribution description set of the plant area were obtained. The red-blue spectral values ​​corresponding to each illuminance data point of the "Tomato-01" variety in region B were compared point by point. Based on the spectral requirement benchmark value set for this variety, which was determined according to plant physiological research, the optimal light intensity corresponding to its light saturation point at the current growth stage is 28000 lux, and the optimal red-blue spectral ratio is 1.8. The deviation between the illuminance data and spectral information at point B was calculated. The illuminance deviation is... The value of lux indicates insufficient light intensity. The spectral information deviation is obtained by comparing the current red-to-blue ratio of 1.38 with the required baseline value of 1.8, indicating that red light is insufficient relative to blue light. It is determined that the light intensity at the sampling point B1 does not meet the preset requirements. The light data and spectral information deviation values ​​at point B1 are {illuminance deviation: -11000 lux, spectral ratio deviation: -0.42}.

[0031] S302: Based on the deviation value between light data and spectral information, compare the spectral data and the required value in each plant area to determine whether there is insufficient or mismatched red or blue spectral data in each plant area. Combine the deviation value between light intensity and required value to obtain the spectral compensation requirement information for areas with mismatched light intensity. Based on the deviation value between the acquired illumination data and spectral information of area B, the spectral data of 1.38 in area B is compared with the required value of 1.8. It is determined that there is insufficient red light spectral data in this area. Combined with the illumination intensity deviation value of -11000 lux, it is confirmed that area B is a region where both illumination intensity and spectrum are mismatched. The spectral compensation requirement information of this mismatched illumination intensity region is obtained. This information clearly indicates that the total luminous flux needs to be increased to make up for the 11000 lux illuminance difference, and the spectral energy distribution needs to be adjusted to increase the red-blue ratio from 1.38 to 1.8.

[0032] S303: Based on the spectral compensation requirement information of the mismatched illumination intensity area, compile a list of spectral compensation requirements and response requirements, output the amount of red and blue light compensation and the target response value required for illumination compensation in each area, and generate a list of multispectral action requirements. Based on the obtained spectral compensation requirements information for Area B, a detailed list of spectral compensation requirements and response requirements was compiled. This list transforms qualitative requirements into quantitative control targets, outputting the required red and blue light compensation amounts and target response values ​​for each target point in Area B, such as B1. Through calculation, to increase the total illuminance by 11,000 lux and achieve a red-blue ratio of 1.8, an additional red radiant flux density of 35 W / m² and a blue radiant flux density of 15 W / m² are required. These values ​​are calculated based on the photoelectric conversion efficiency and spectral characteristic curves of the existing light source. The final multispectral action requirement list clearly records {Area: 'Area B', Point: 'B1', Compensated Red Light: 35 W / m², Compensated Blue Light: 15 W / m², Target Response Illuminance: 28,000 lux, Target Response Red-Blue Ratio: 1.8}.

[0033] Please see Figure 5 The steps for obtaining the array fill light mapping structure diagram are as follows: S401: Referencing the located points in the multispectral action requirement list, obtain the target output value range of the red and blue light channels for each target point. Combine the channel number and output setting value of the corresponding point, and match the output range of the red and blue light channels according to the set spectral adjustment direction to generate the spectral channel output matching range. Using point B1 in area B of the multispectral effect requirement list, obtain the target output value ranges for its red and blue light channels. The target is to increase red light by 35W / m² and blue light by 15W / m². Assuming that both the red and blue channels of the supplementary lighting fixture are controlled by PWM (Pulse Width Modulation), their output range is [0%, 100%]. Currently, the supplementary lighting fixture is off, i.e., the output is [0%, 0%]. According to the set spectral adjustment direction, i.e., simultaneously increasing red and blue light, but with a greater increase in red light, match the output ranges of the red and blue light channels. Assuming that calibration experiments show that for every 10% increase in the PWM duty cycle of the red light channel, the output increases by 5W / m², and for every 10% increase in the blue light channel, the output increases by 3W / m², then the target output range for red light is [0%, 70%], and the target output range for blue light is [0%, 50%]. Generate the spectral channel output matching range.

[0034] S402: Based on the matching interval of the spectral channel output, call the spatial position coordinates and installation angle data of the light source array, extract the spatial position and emission direction data of each light source, filter the target points according to the illumination angle and spatial coverage range, and obtain the light source illumination coverage distribution range value. Based on the spectral channel output matching range generated by S401, the spatial position coordinates and installation angle data of each light source in the light source array are retrieved. This data was entered during system initialization. For example, the coordinates of light source LED-05 are (X:3, Y:5, Z:3), and the installation angle is vertically downward (pitch angle -90°, azimuth angle 0°). The coordinates of light source LED-06 are (X:4, Y:5, Z:3), and the installation angle is also vertically downward. The spatial position of each light source and the emission direction determined by its beam angle (e.g., 60°) are extracted. Based on the data, the target point B1 (coordinates X: 3.2, Y: 5.1) is filtered according to the illumination angle of each light source and the spatial coverage area at the current height (e.g., a circular area with a radius of 1.5 meters). The calculation results show that point B1 is located in the illumination core area of ​​LED-05 and the illumination edge area of ​​LED-06. The effective light source illumination coverage distribution range of point B1 is obtained as {LED-05: weight 0.8, LED-06: weight 0.2}, and the weight is determined according to the distance between the point and the center of the light source.

[0035] Table 2: Array Complementary Lighting Mapping Structure As shown in Table 2, this table defines in detail the specific light source, control channel and its precise PWM output setting value that need to be called to meet the lighting requirements of point B1 in area B, forming a direct mapping from requirements to physical execution units.

[0036] S403: Based on the light source illumination coverage distribution range value, combined with the spectral channel output matching interval, according to the combination relationship between the illumination point and the channel setting value, extract the corresponding structural information between the supplementary lighting area and the light source, construct the mapping relationship between the channel number, illumination angle and area position, and establish the array supplementary lighting mapping structure diagram; Based on the obtained light source illumination coverage distribution range value, that is, point B1 is jointly covered by LED-05 and LED-06, combined with the spectral channel output matching interval generated by S401, that is, the red light channel PWM is 70% and the blue light is 50%, according to the combination relationship between the illumination point and the channel setting value, this output value is allocated to all light sources that have a coverage effect on point B1. The corresponding structural information between the supplementary lighting area B and the light sources LED-05 and LED-06 is extracted, and the mapping relationship between channel number, illumination angle and area position is constructed. Finally, the array supplementary lighting mapping structure diagram shown in Table 2 is established.

[0037] Please see Figure 6 The steps for obtaining the timing sequence of the supplementary lighting action regulation are as follows: S501: Call the output path of the points contained in the array supplementary lighting mapping structure diagram, obtain the light sensor value, temperature sensor value and humidity sensor value under each output path, retrieve the continuous data under adjacent time nodes, calculate the difference sequence of light value and the temperature and humidity change range, and establish the external environment disturbance cycle time range based on the time period when the change amplitude is greater than the light fluctuation response threshold, temperature fluctuation response threshold and humidity fluctuation response threshold. The output path of point B1 in the array supplementary lighting mapping structure diagram is called to obtain the values ​​of the light sensor, temperature sensor, and humidity sensor associated with point B1 for 10 consecutive minutes (09:10 to 09:20) after the supplementary lighting is turned on. Continuous data at two adjacent time points, 09:15 and 09:20, are retrieved. For example, if the light value changes from 28100 lux to 26800 lux, the temperature value changes from 25.1℃ to 26.8℃, and the humidity value changes from 66%RH to 62%RH, the difference sequence of the light value is calculated, yielding a difference of -1300 lux. The temperature and humidity change range is calculated, with a temperature change of +1.7℃ and a humidity change of -4%RH. These change values ​​are then processed. Compared with the preset fluctuation response thresholds, the light fluctuation response threshold is set to a change of more than 1000 lux within 5 minutes. The basis for this setting is that fluctuations below this value are mostly sensor noise or minor environmental changes, which do not require triggering adjustment. The temperature fluctuation response threshold is set to a change of more than 1.5℃ within 30 minutes, and the humidity fluctuation response threshold is set to a change of more than 5%RH within 30 minutes. These values ​​are determined based on the crop's physiological tolerance range and the normal accuracy of the greenhouse environmental control system. The current temperature change is 1.7℃ (exceeding the threshold) and the light change is -1300 lux (exceeding the threshold). Based on this, the external environmental disturbance cycle time interval is established as [09:15, 09:20].

[0038] S502: Based on the time interval of the disturbance cycle, call the light source on / off data and the lighting demand interval of the plant growth cycle within each time interval of the disturbance cycle, calculate the overlap ratio between the light source switching frequency value and the plant lighting demand time interval within each time interval, and perform interval discrimination based on the overlap ratio and the light sufficiency rate threshold to filter out the light source control offset segment. Based on the disturbance period time interval [09:15, 09:20], the on / off data (status "on") of light sources LED-05 and LED-06 within this time interval are retrieved, and the daytime lighting demand interval for the flowering and fruiting period of "cherry tomatoes" is obtained. This interval is set to 06:00 to 20:00 daily according to its biological clock characteristics. The overlap ratio between the light source switching frequency value (the switching frequency is 0 during this 5-minute period, i.e., continuously on) and the plant lighting demand time interval is calculated. The current disturbance period is completely within the demand period, and the overlap ratio is 100%. The interval is judged based on the overlap ratio and the light sufficiency threshold. The light sufficiency threshold is set to 95%, and its calculation method is (actual light intensity / target light intensity). The setting is based on ensuring that the plant is always in a near-optimal light environment. Due to the disturbance, the light intensity at point B1 drops to 26800 lux, and its light sufficiency rate is... This value is still higher than the 95% threshold, but if it drops to 26500 lux, the sufficiency rate will become 94.6%, which is lower than the threshold. At this time, the system will filter the time period [09:15, 09:20] as the light source control offset segment.

[0039] S503: Based on the light source control offset section, adjust the response sequence and control duration of the fill light channel output, construct the light source on / off state matrix, and generate the action timing sequence for performing the control operation by comparing the channel number assigned to each point in the original array fill light structure diagram with the sequence of the control response sequence. Based on the light source control offset segment [09:15, 09:20] selected under assumed conditions, due to the decrease in illuminance and significant increase in temperature, the response sequence and control duration of the supplementary lighting channel output are adjusted, prioritizing the response to the decrease in light intensity. The original PWM output value is used as a reference for fine-tuning. To cope with the increase in temperature, the proportion of blue light is appropriately increased to suppress excessive nutrient growth. For example, the PWM of the red light channel of LED-05 and LED-06 is increased from 70% to 72%, and the PWM of the blue light channel is increased from 50% to 53%. A new light source on / off state matrix is ​​constructed, which includes time... The time stamp, light source number, channel, and updated PWM value are compared with the channel number (red channel 1, blue channel 2) assigned to point B1 in the original array fill light structure diagram and the order of the newly generated control response sequence to generate the action timing sequence for performing the control operation, specifically [(09:20:01,LED-05,CH1,72),(09:20:01,LED-05,CH2,53),(09:20:01,LED-06,CH1,72),(09:20:01,LED-06,CH2,53)].

[0040] The intelligent control system for multispectral plant supplemental lighting based on environmental perception includes: The light acquisition grouping module acquires the illuminance values ​​and red and blue light spectrum data of each illuminance acquisition point in the plant area, groups them according to spatial location codes, arranges each group of data according to time order, extracts the illuminance intensity and red-blue light ratio of each point, calculates the direction of spectral change and fluctuation amplitude, selects representative areas, sorts out the differences in light distribution in each representative area, and outputs a light distribution description set of the plant area. The absorption feature extraction module calls the region numbers contained in the plant region light distribution description set to obtain the corresponding plant variety type information, extracts the red light response direction and blue light absorption capacity of each plant, judges the plant light sensitivity based on the illuminance range and species distribution density, filters out plant types with different absorption of red and blue light, and outputs the light absorption feature distribution set. The spectral deviation identification module, based on the illuminance values ​​and red-blue light ratios of each region in the light distribution description set of plant areas, calls the absorption direction of plant types in the light absorption feature distribution set, compares the deviation between the actual red and blue light values ​​and the required direction, determines whether the red and blue light illuminance of each region meets the absorption requirements, identifies areas with light mismatch, records the adjustment direction and intensity required for the red and blue light channels, and outputs a list of multispectral action requirements. The array output mapping module references the region and channel adjustment direction in the multispectral action requirement list, combines the position distribution and channel type of the light source array, obtains the illumination direction and coverage number of the light source, matches the adjustment direction with the required output combination, establishes the control relationship between each supplementary lighting region and the light source array, and outputs the array supplementary lighting mapping structure diagram. The timing generation module calls the light source output path in the array supplementary lighting mapping structure diagram, monitors the current environmental illuminance change trend and temperature and humidity fluctuation trend in the plant area, judges the disturbance level of environmental factors on the output of the light source channel, and adjusts the supplementary lighting response channel and control interval of each light source according to the opening and closing frequency of the supplementary lighting channel and the time period requirements of the plant growth cycle, and outputs the timing sequence of supplementary lighting action regulation.

[0041] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A smart control method for multispectral plant supplemental lighting based on environmental perception, characterized in that, Includes the following steps: S1: Obtain the current illuminance and spectral data of each light collection point, group them according to spatial number, extract the illuminance intensity and red-blue spectrum ratio of each collection point, calculate the spectral shift direction and change, organize the light difference information of representative light areas, and output the light distribution description set of plant areas. S2: Call the plant variety type information corresponding to the region number contained in the plant region light distribution description set, determine the plant's sensitivity to light based on the plant's red light response direction and blue light absorption capacity, screen out plant types with significant differences in red or blue light absorption, and output the light absorption feature distribution set. S3: Based on the light absorption feature distribution set, determine the deviation between the actual and required red and blue spectral data of the plant, identify areas where the light intensity is insufficient or does not match the needs of the plant, record the spectral compensation requirements and response requirements, and output a list of multispectral action requirements. S4: Using the located points in the multispectral action requirement list, match the output ranges of the red and blue light channels, determine the illumination angle and coverage of each light source, establish the mapping structure between the supplementary lighting area and the light source, and output the array supplementary lighting mapping structure diagram.

2. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 1, characterized in that: The plant region light distribution description set includes illuminance intensity, red-blue spectral ratio, spectral shift direction, spectral variation, representative light-exposed areas and their differences; the light absorption characteristic distribution set includes plant variety number, red light response direction, blue light absorption capacity, illuminance threshold, plant type and density, and light sensitivity; the multispectral action requirement list includes areas with insufficient light intensity, deviations between light requirements and actual plant needs, spectral compensation requirements and response requirements; the array supplementary lighting mapping structure diagram includes light source illumination angle, light source coverage area, light source installation location and its supplementary lighting area mapping relationship.

3. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 1, characterized in that, The steps for obtaining the light distribution description set of the plant region are as follows: S101: Obtain the current illuminance value and spectral data of each light acquisition point, classify the data of different acquisition points according to the spatial number information, sort the dataset of each acquisition point according to the recording time, extract the illuminance value, red spectral value and blue spectral value based on the sorting result, calculate the red-blue spectral ratio of the acquisition point, and obtain the red-blue ratio sequence of each acquisition point. S102: Based on the red-blue ratio sequence, for each sampling point, call the red-blue ratio change value and illuminance value change value of its continuous time points, and perform difference calculation with the previous recorded value of the sampling point in the time series to calculate the spectral shift direction and numerical change amount, and obtain the shift change trend of each sampling point. S103: Based on the offset change trend, call the corresponding illuminance value sequence of each collection point, determine the difference in the range of illuminance value intervals, compare the distribution density of each illuminance interval with the change in the spectral offset direction, select the collection points with large differences and concentrated change directions as representative areas, extract their corresponding illuminance value intervals and spectral change values, and generate a light distribution description set for the plant area.

4. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 1, characterized in that, The steps for obtaining the light absorption feature distribution set are as follows: S201: Call the region number contained in the plant region light distribution description set, obtain the plant variety number and planting distribution information configured under each region, and according to the red light response direction parameter value and blue light absorption capacity parameter value recorded in the plant variety type information corresponding to the plant variety number, divide the plants into multiple illuminance response groups according to the variety number through the set illuminance threshold, and generate a plant variety illuminance response classification table. S202: Based on the plant variety illuminance response classification table, call the regional distribution number and plant quantity parameter of the corresponding plant variety number, calculate the plant density value per unit area of ​​each illuminance response group in the region, compare the plant density value per unit area with the illuminance threshold of the corresponding group, screen out the plant groups that produce response changes to the illuminance threshold, and obtain the light-sensitive response density set. S203: Based on the light-sensitive response density set, calculate the difference between the red light response direction parameter value and the blue light absorption capacity parameter value in each plant group, extract the plant group number that meets the red and blue light absorption difference rate threshold in the difference sequence and map it to the original plant region distribution number to form a plant type correspondence table with significant red and blue light absorption differences in each region, and obtain the light absorption feature distribution set.

5. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 1, characterized in that, The steps for obtaining the multispectral action requirements list are as follows: S301: Obtain the illuminance value and spectral information from the light distribution description set of the plant area, compare the red and blue spectral values ​​corresponding to each illuminance data point in the light absorption feature distribution set point by point, calculate the deviation between the illuminance data and spectral information at each point, and determine whether the light intensity at each collection point meets the preset requirement based on the set spectral requirement benchmark value, and obtain the deviation value between the light data and spectral information. S302: Based on the deviation value between the illumination data and spectral information, compare the spectral data and the required value in each plant area to determine whether there is a shortage or mismatch of red or blue spectral data in each plant area. Combine the deviation value between illumination intensity and required value to obtain the spectral compensation requirement information for areas with mismatched illumination intensity. S303: Based on the spectral compensation requirement information of the mismatched illumination intensity area, compile a list of spectral compensation requirements and response requirements, output the red and blue light compensation amount and target response value required for illumination compensation in each area, and generate a list of multispectral action requirements.

6. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 1, characterized in that, The steps for obtaining the array fill light mapping structure diagram are as follows: S401: Using the located points in the multispectral action requirement list, obtain the target output value range of the red and blue light channels for each target point. Combine the channel number and output setting value of the corresponding point, and match the output range of the red and blue light channels according to the set spectral adjustment direction to generate the spectral channel output matching range. S402: Based on the matching interval of the spectral channel output, call the spatial position coordinates and installation angle data of the light source array, extract the spatial position and emission direction data corresponding to each light source, filter the target points according to the illumination angle and spatial coverage range, and obtain the light source illumination coverage distribution range value. S403: Based on the illumination coverage distribution range value of the light source, combined with the spectral channel output matching interval, according to the combination relationship between the illumination point and the channel setting value, extract the corresponding structural information between the supplementary light area and the light source, construct the mapping relationship between the channel number, the illumination angle and the area position, and establish an array supplementary light mapping structure diagram.

7. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 1, characterized in that, The method further includes: S5: Call the output path of the points contained in the array fill light mapping structure diagram, retrieve the amount of light fluctuation change, read the environmental change trend analysis of the disturbance level of the external environment on the light source control, adjust the control timing of the fill light and the response of each light source output channel, and output the fill light action control timing sequence. The timing sequence for adjusting the supplementary lighting action includes control timing adjustment, light source output channel response, and external environmental disturbance analysis.

8. The intelligent control method for multispectral plant supplemental lighting based on environmental perception according to claim 7, characterized in that, The steps for obtaining the timing sequence of the supplementary lighting action are as follows: S501: Call the output path of the points contained in the array supplementary light mapping structure diagram, obtain the light sensor value, temperature sensor value and humidity sensor value under each output path, retrieve the continuous data under adjacent time nodes, calculate the difference sequence of light value and the temperature and humidity change range, and establish the external environment disturbance cycle time range according to the time period when the change amplitude is greater than the light fluctuation response threshold, temperature fluctuation response threshold and humidity fluctuation response threshold. S502: Based on the disturbance cycle time interval, call the light source on / off data and the lighting demand interval of the plant growth cycle within each disturbance cycle time interval, calculate the overlap ratio between the light source switching frequency value and the plant lighting demand time interval within each time interval, and perform interval discrimination based on the overlap ratio and the light sufficiency threshold to filter out the light source control offset segment. S503: Based on the light source control offset section, adjust the response sequence and control duration of the fill light channel output, construct the light source on / off state matrix, and generate an action timing sequence for performing the control operation by comparing the channel number assigned to each point in the original array fill light structure diagram with the order of the control response sequence.

9. A multispectral plant supplemental lighting intelligent control system based on environmental perception, characterized in that, The system is used in the intelligent control method for multispectral plant supplemental lighting based on environmental perception as described in any one of claims 1-8, the system comprising: The light acquisition grouping module acquires the illuminance values ​​and red and blue light spectrum data of each illuminance acquisition point in the plant area, groups them according to spatial location codes, arranges each group of data according to time order, extracts the illuminance intensity and red-blue light ratio of each point, calculates the direction of spectral change and fluctuation amplitude, selects representative areas, sorts out the differences in light distribution in each representative area, and outputs a light distribution description set of the plant area. The absorption feature extraction module calls the region numbers contained in the light distribution description set of the plant region to obtain the corresponding plant variety type information, extracts the red light response direction and blue light absorption capacity of each plant, judges the light sensitivity of the plant based on the illuminance range and species distribution density, filters out the plant types that have different absorption of red and blue light, and outputs the light absorption feature distribution set. The spectral deviation identification module, based on the illuminance value and red-blue light ratio of each region in the light distribution description set of the plant region, calls the absorption direction of the plant type in the light absorption feature distribution set, compares the deviation between the actual red and blue light values ​​and the required direction, determines whether the red and blue light illuminance of each region meets the absorption requirements, identifies the light mismatch area, records the adjustment direction and intensity required for the red and blue light channels, and outputs a list of multispectral action requirements. The array output mapping module references the region and channel adjustment direction in the multispectral action requirement list, combines the position distribution and channel type of the light source array, obtains the illumination direction and coverage number of the light source, matches the adjustment direction with the required output combination form, establishes the control relationship between each supplementary lighting region and the light source array, and outputs the array supplementary lighting mapping structure diagram. The timing generation module calls the light source output path in the array supplementary lighting mapping structure diagram, monitors the current environmental illuminance change trend and temperature and humidity fluctuation trend in the plant area, judges the disturbance level of environmental factors on the output of the light source channel, and adjusts the supplementary lighting response channel and control interval of each light source according to the opening and closing frequency of the supplementary lighting channel and the time period requirements of the plant growth cycle, and outputs the timing sequence of supplementary lighting action regulation.

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