Light intensity self-adaptive adjusting system and method for flower planting and medium

Abstract

The invention discloses a light intensity self-adaptive adjusting system and method for flower planting and a medium, and relates to the technical field of flower planting, and the system comprises a joint matching module which is used for carrying out the joint matching of illumination intervals through a growth stage recognition result; the optimization module is used for performing feedback correction on the flower growth effect by taking the matched illumination interval as an optimization space; the control fitting module is used for executing control fitting of the light source by taking the optimal illumination track of the batch as a following target; the individual feedback module is used for executing adaptive illumination adaptation evaluation of the individual according to the growth tracking mark; and the correction module is used for executing clustering control feedback of the dimmable LED light source. The technical problems that in the prior art, flower planting illumination adjustment cannot adapt to different growth stages of flowers and individual difference requirements, illumination adjustment precision and flexibility are insufficient, and consequently the flower growth quality is poor are solved, and the technical effect of improving the flower growth quality and flower planting efficiency is achieved.

Description

Technical Field

[0001] This application relates to the technical field of flower cultivation, and specifically relates to a light intensity adaptive adjustment system, method and medium for flower cultivation. Background Art

[0002] Light, as a key environmental factor affecting the growth and development of flowers, its intensity, duration and spectral distribution affect the morphogenesis, photosynthesis and flowering and fruiting of flowers. Most of the existing flower cultivation light controls adopt a fixed light mode, that is, the light intensity and light time are preset throughout the cultivation cycle, without fully considering the differences in light requirements of flowers at different growth stages (such as seedling stage, growth stage, flowering stage, etc.), which easily leads to insufficient light in some growth stages of flowers, affecting the photosynthesis efficiency; there are also growth differences among flower individuals of the same batch, such as plant size, health status, etc. The existing light systems are difficult to provide personalized light adjustment according to the characteristics of flower individuals, so that the light intensity cannot be accurately adjusted according to the differences among individuals; in addition, traditional light equipment cannot quickly and accurately adjust the light intensity and spectral distribution according to the actual needs of flowers, affecting the accuracy and effectiveness of light adjustment.

[0003] Therefore, in the current related technologies, there are technical problems that the light adjustment in flower cultivation cannot adapt to the needs of different growth stages and individual differences of flowers, and the accuracy and flexibility of light adjustment are insufficient, resulting in poor growth quality and quality of flowers. Summary of the Invention

[0004] By providing a light intensity adaptive adjustment system, method and medium for flower cultivation, this application solves the technical problems in the existing technologies that the light adjustment in flower cultivation cannot adapt to the needs of different growth stages and individual differences of flowers, and the accuracy and flexibility of light adjustment are insufficient, resulting in poor growth quality and quality of flowers, and achieves the technical effect of improving the growth quality and cultivation efficiency of flowers.

[0005] The present application provides a light intensity adaptive adjustment system for flower cultivation. The system includes: a joint matching module, configured to perform identification of the growth stages of batches of flowers, perform joint matching of light intensity ranges by using the growth stage identification results, and establish a matching light intensity range; an optimization module, configured to use the matching light intensity range as an optimization space, perform feedback correction of the flower growth effect by using a dynamic feedback channel within the optimization space, and establish an optimal light trajectory for the batch; a control fitting module, configured to, during the light control of flowers in the same batch, after reading the adjustment parameters and position information of the dimmable LED light source, use the optimal light trajectory of the batch as a following target, perform control fitting of the dimmable LED light source, and establish a control fitting result; an individual feedback module, configured to, after performing control of the dimmable LED light source by using the control fitting result, perform growth tracking and marking on the flowers in the same batch, perform an adaptive light intensity adaptation evaluation for individuals according to the growth tracking and marking, and establish an individual light intensity feedback; and a correction module, configured to perform clustering control feedback of the dimmable LED light source by using the individual light intensity feedback, and perform correction of the control fitting result according to the clustering control feedback.

[0006] In a possible implementation manner, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: a clustering matching sub-module, configured to obtain the individual position coordinates of the flowers in the same batch, perform associated clustering of the flowers in the same batch and the dimmable LED light source according to the individual position coordinates and the position information, and establish an associated clustering result; and a feedback authentication sub-module, configured to perform a feedback adaptation evaluation on the group according to the associated clustering result and the individual light intensity feedback, and establish a clustering control feedback by using the feedback adaptation evaluation result.

[0007] In a possible implementation manner, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: a key positioning unit, configured to perform array intersection identification of the dimmable LED light source according to the position information, locate the array intersection area, and perform key same-batch flower positioning according to the array intersection area and the individual position coordinates; a penalty compensation unit, configured to perform execution fitting of the dimmable LED light source according to the clustering control feedback, perform adaptation analysis on the key same-batch flowers, and establish a penalty compensation according to the adaptation analysis result; and an optimization unit, configured to optimize the corrected control fitting result according to the penalty compensation.

[0008] In a possible implementation, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: extracting the flower characteristics of the batch of flowers, using the flower characteristic extraction result and the growth stage recognition result as matching features, performing similarity matching on the historical database, establishing a first combined light intensity range according to the similarity matching result, and setting a similarity weight for the first combined light intensity range; conducting a light intensity experiment test on the batch of flowers under the growth stage recognition result, establishing a second combined light intensity range according to the light intensity experiment test result, and setting a stability weight for the second combined light intensity range; completing the combined matching of the light intensity ranges according to the first combined light intensity range, the second combined light intensity range, the similarity weight, and the stability weight, and establishing a matching light intensity range.

[0009] In a possible implementation, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: using an image acquisition device to perform sequential image acquisition of the flowers in the same batch, establishing a sequential image data set; calling the zero-point image in the sequential image data set, using the zero-point image as a reference image, performing frame-by-frame image comparison on the sequential image data set, and establishing a frame image comparison deviation; using the frame image comparison deviation to perform growth tracking fitting to complete growth tracking marking.

[0010] In a possible implementation, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: a cross-stage recognition module, used for establishing a growth prediction result according to the reading of the growth trend data of the flowers in the same batch before performing the light intensity control on the flowers in the same batch, and determining whether the growth prediction result meets the cross-stage range threshold; a constraint establishment module, used for establishing a cross-stage light intensity constraint if the growth prediction result meets the cross-stage range threshold, and completing control fitting after constraining the optimal light intensity trajectory of the batch according to the cross-stage light intensity constraint.

[0011] In a possible implementation, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: performing control fitting on the optimal light intensity trajectory of the batch according to the adjustment parameters and the position information, and establishing an initial fitting scheme; activating the light intensity sensors at the standard positions, monitoring the light intensity data through the light intensity sensors, and establishing a light intensity response; establishing a residual feedback according to the light intensity response and the light intensity residual of the optimal light intensity trajectory of the batch; using the residual feedback to update the initial fitting scheme and establishing a control fitting result.

[0012] In a possible implementation, the light intensity adaptive adjustment system for flower cultivation further performs the following processing: an array monitoring module, used for monitoring the array light intensity deviation of all dimmable LED light sources, and generating an array light intensity deviation monitoring result; an early warning response module, used for verifying the deviation trigger of the array light intensity deviation monitoring result and reporting an equilibrium anomaly early warning.

[0013] The present application also provides a method for adaptively adjusting light intensity in flower cultivation, and the method includes: identifying the growth stages of batch flowers, jointly matching light intervals by using the growth stage identification results, and establishing a matching light interval; using the matching light interval as an optimization space, and performing feedback correction of the flower growth effect in the optimization space by using a dynamic feedback channel to establish an optimal light trajectory for the batch; in the process of controlling the light of the same batch of flowers, after reading the adjustment parameters and position information of the dimmable LED light source, using the optimal light trajectory of the batch as a following target, performing control fitting of the dimmable LED light source to establish a control fitting result; after performing control of the dimmable LED light source by using the control fitting result, performing growth tracking marking on the same batch of flowers, performing an adaptive light adaptation evaluation of individuals according to the growth tracking marking, and establishing individual light feedback; performing clustering control feedback of the dimmable LED light source by using the individual light feedback, and correcting the control fitting result according to the clustering control feedback.

[0014] The present application also provides a computer-readable storage medium, including: a computer program stored thereon, and when the program is executed by a processor, it implements a system for adaptively adjusting light intensity in flower cultivation.

[0015] It is intended to solve the technical problems in the prior art that the light intensity adjustment in flower cultivation cannot adapt to the different growth stages and individual difference requirements of flowers, and the light intensity adjustment accuracy and flexibility are insufficient, resulting in poor growth quality and quality of flowers, and achieve the technical effect of improving the growth quality and cultivation efficiency of flowers through a system, method and medium for adaptively adjusting light intensity in flower cultivation proposed in the present application, a joint matching module for jointly matching light intervals by using the growth stage identification results; an optimization module for using the matching light interval as an optimization space to perform feedback correction of the flower growth effect; a control fitting module for performing control fitting of the dimmable LED light source with the optimal light trajectory of the batch as a following target; an individual feedback module for performing an adaptive light adaptation evaluation of individuals according to the growth tracking marking; and a correction module for performing clustering control feedback of the dimmable LED light source. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations before or below do not necessarily need to be executed precisely in sequence. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0017] Figure 1Schematic structural diagram of a light intensity adaptive adjustment system for flower cultivation provided by an embodiment of the present application.

[0018] Figure 2 Schematic flow diagram of a light intensity adaptive adjustment method for flower cultivation provided by an embodiment of the present application.

[0019] Explanation of reference numerals: Joint matching module 10, optimization module 20, control fitting module 30, individual feedback module 40, correction module 50. Detailed implementation manners

[0020] The above description is only an overview of the technical solution of the present application. In order to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0022] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, system, product or server that includes a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0023] An embodiment of the present application provides a light intensity adaptive adjustment system for flower cultivation, as Figure 1 shown. The system includes: A joint matching module 10, which is used to perform the identification of the growth stage of a batch of flowers, utilize the growth stage identification result to perform joint matching of the light intensity range, and establish a matching light intensity range.

[0024] Preferably, the joint matching module performs stage recognition → feature extraction → dynamic matching, and uses the growth stage as the driving factor to perform joint matching of the light intervals, so as to achieve the precise alignment of the flower growth requirements and light supply and the refined flower cultivation. Specifically, the same-source batch of flowers is set to be cultivated at different times, and the current growth stage of the flowers is judged by sensor data collection (such as taking pictures with a camera, detecting the leaf pigment content with a spectral sensor, etc.) or growth cycle feature analysis (such as the morphology of typical stages such as germination stage, seedling stage, bolting stage, flowering stage, fruiting stage, etc.). For example, a flower growth stage classification model is trained based on a machine learning algorithm (such as the convolutional neural network CNN), and the growth stage is automatically identified through image features (such as the number of leaves, plant height, bud state, etc.).

[0025] Preferably, the light interval refers to a combination of light parameters that is strongly related to the flower growth stage, which may include light intensity (such as 5000 - 8000 Lux), spectral distribution (such as the ratio of red light / blue light, supplementary light wavelength), light duration (such as 12 hours of light per day), and spatial distribution (such as mainly top light and supplemented by side light). The mapping relationship between each growth stage of the flower and the light parameters is established in advance to form a standardized light interval library. For example, the seedling stage corresponds to low-intensity scattered light, and the flowering stage corresponds to high-intensity full-spectrum light; then, according to the growth stage recognition result, the corresponding basic light interval is retrieved from the database, and at the same time, it is adaptively adjusted in combination with environmental parameters (such as natural light intensity, temperature and humidity) and historical data (such as the growth effect feedback of the previous batch) to generate a matching light interval. By dividing the flower growth into discrete stages and matching the corresponding light, the light utilization efficiency is improved.

[0026] The optimization module 20 is used to take the matching light interval as the optimization space, and use the dynamic feedback channel in the optimization space to perform feedback correction on the flower growth effect and establish the optimal light trajectory for the batch.

[0027] Preferably, the optimization module converts the static matching light interval into a dynamically optimized light trajectory through a feedback iteration mechanism under the constraint of the matching light interval, so as to achieve precise lighting based on real-time data. Specifically, a safe and feasible region is set using the matching light interval to avoid light parameters exceeding the physiological tolerance range of the flowers (such as strong light burning or weak light spindling). For example, if the joint matching module determines that a certain batch of roses is in the "bud formation stage", the matching light interval is an intensity of 6000 - 7500 Lux and a red light ratio of 40% - 50%, and the optimization space parameters are within this range. Among them, the light parameters included in the optimization space may include light intensity, spectral ratio (such as the ratio of red / blue / green light), light duration, light uniformity (light intensity difference between different plants), light cycle start time (such as the time point simulating sunrise), etc.

[0028] Preferably, a dynamic feedback channel is used to correct the feedback on the growth effect of flowers. Specifically, the feedback data on flower growth is monitored in real time through sensors. For example, the photosynthetic efficiency is detected by a chlorophyll fluorometer, the leaf health is analyzed by a multispectral camera, and the growth rate of the plant is recorded by a load cell. The real-time data is compared with the preset growth target threshold to calculate the deviation degree of the current light parameters. The PID control algorithm is used to automatically adjust the light parameters according to the deviation degree. For example, if it is detected that the flowers are growing spindly (long and thin stems, sparse leaves), it is determined that the light intensity is too low, and the light intensity is gradually increased within the matching range (such as from 6000 Lux to 6500 Lux); if the flowering is delayed, the proportion of red light in the light cycle may be adjusted (such as from 40% to 45%); several optimization cycles are set within each growth stage (such as fine-tuning the parameters once a day) to avoid the stress impact on the flowers caused by frequent adjustment. And after each adjustment, it is necessary to wait for the data stabilization period (such as 24 hours) before performing the next round of feedback correction.

[0029] Preferably, the light intensity, spectral ratio, and light duration are used as parameters to construct a sequence represented as a light trajectory, so as to establish the optimal light trajectory for each batch and output it. For example, the light trajectory of a certain batch of tulips from "seedling stage → budding stage → flowering stage" is shown in Table 1: Table 1 Light Trajectory Parameter Table for Tulip Growth Stages

[0030] The control fitting module 30 is used to, when performing the light control of the same batch of flowers, after reading the adjustment parameters and position information of the dimmable LED light source, use the optimal light trajectory of the batch as the following target to perform the control fitting of the dimmable LED light source and establish the control fitting result.

[0031] Preferably, the control fitting module converts the abstract optimal light trajectory of the batch output by the optimization module into an executable LED light source control scheme to ensure that the theoretical optimal light scheme is implemented and takes effect in the actual planting environment, and realizes the accurate reproduction of light. Specifically, when performing the light control of the same batch of flowers, the adjustment parameters and position information of the dimmable LED light source are read. Among them, the adjustment parameters of the dimmable LED light source include the spectral characteristics of each LED light source (such as the RGBW four-channel ratio range), the dimming curve (the non-linear relationship between current and light intensity), and the light decay coefficient (the impact of usage time on luminous efficiency). The position information refers to the three-dimensional coordinates, irradiation angle, and coverage radius of the LED light source in the planting space, which are used to construct a spatial light distribution model. For example, the difference in light intensity contribution of the top light source (height 2m, spacing 1.5m) and the side supplementary light source (height 0.8m, elevation angle 45°) to different parts of the plant.

[0032] Preferably, select standard-positioned flowers, use the optimal light trajectory for each batch as the tracking target, discretize it into a time-slice sequence (such as one control cycle per hour), where each time slice contains target parameters, the target light intensity distribution (e.g., 6500 Lux is required at the top of the plant, 4000 Lux is required on the side), the target spectral ratio (e.g., red:blue:green = 5:3:2), and the target uniformity (e.g., the light intensity difference between plants ≤ ±10%). Then perform the control fitting of the dimmable LED light source. Specifically, establish the mapping relationship of "LED parameters → spatial light distribution" based on the optical propagation law (such as the Lambert cosine law): ; where, represents the light intensity at the spatial point (x, y, z), represents the power of the i-th LED, represents the distance from the LED to the target point, represents the angle between the direction of the LED light beam irradiating the target point and the LED optical axis direction, represents the angle between the LED light beam and the LED optical axis in a plane, represents the angle between the LED light beam and another plane (perpendicular to the light beam - LED optical axis plane), n represents the number of dimmable LED light sources, m is a constant used to adjust the degree of influence of the angle on the light intensity. For example, when m = 1, it is a cosine relationship. The larger the angle (the more inclined the light beam), the smaller the light intensity contribution; represents the attenuation relationship of the light intensity with distance. The farther away from the LED, the larger it is, the more severe the light intensity attenuation.

[0033] By adjusting the power and spectral ratio of each LED, minimize the mean square error between the actual light distribution and the target trajectory; then set the hardware constraints, including the upper limit of the LED power (e.g., the maximum power of a single lamp is 150 W), the dimming resolution (e.g., 0.1% step), and the response time (e.g., it takes 50 ms to switch the spectrum); set the energy consumption constraint to minimize the total energy consumption while meeting the light requirements; set the uniformity constraint to ensure that the light intensity difference between any two plants does not exceed the threshold (e.g., ±10%) to avoid inconsistent local growth; finally, generate specific LED light source control instructions for each time slice, as shown in Table 2: Table 2 LED Light Source Control Instruction Table at Different Times

[0034] And according to the photoperiod requirements, simulate the natural light gradual change process during sunrise / sunset (such as linearly increasing from 0 Lux to 6000 Lux within 1 hour), and at the same time adopt zonal control for the LED groups in different areas. For example, enhance the power compensation of the lamps in the edge area to make up for the light leakage loss; finally obtain the control fitting result of the dimmable LED light source.

[0035] The individual feedback module 40 is used to perform growth tracking and marking on the same batch of flowers after performing the dimmable LED light source control by using the control fitting result, perform the individual adaptive light adaptation evaluation according to the growth tracking and marking, and establish the individual light feedback.

[0036] Preferably, perform the dimmable LED light source control by using the control fitting result obtained by controlling and fitting the optimal light trajectory of the batch. The individual feedback module performs growth tracking and marking on the same batch of flowers by using a variety of sensors. Specifically, data collection of the same batch of flowers is carried out, including collecting the morphological images of the flowers by using a camera to obtain appearance information such as plant height, number and size of leaves, number of flowers, etc.; measuring the parameters related to the photosynthetic efficiency of the leaves by using a chlorophyll fluorometer to understand the physiological state of the flowers; and then establishing a unique identifier for each flower through an electronic tag, image recognition feature code, etc., and associating the growth data of the flowers at different time points collected with the unique identifier to realize the tracking record of the growth process of individual flowers. For example, assign a two-dimensional code label to each pot of tulips, and enter the growth stage information of the corresponding plant by scanning the code each time data is collected.

[0037] Preferably, perform the individual adaptive light adaptation evaluation according to the growth tracking and marking. Specifically, set the evaluation indexes by using the growth stage and planting objectives of the flowers. For example, pay attention to the survival rate and leaf health during the seedling stage; pay attention to the flowering rate, flower size and color, etc. during the flowering stage; and determine reasonable weights for each evaluation index. For example, the weight of the flowering rate during the flowering stage accounts for 40%, the weight of the flower size accounts for 30%, and the weight of the color accounts for 30%; then substitute the growth data of the individual flowers obtained by the tracking and marking into the evaluation index system for calculation. For example, the flowering rate of a certain tulip reaches 80% (the corresponding index standard is 70% - 90%), the flower size reaches 90% of the standard diameter (the standard is 80% - 100%), and the color score is 8 points (full score 10 points). After weighted calculation, the light adaptation score of this tulip during the flowering stage is ; finally, integrate the light adaptation evaluation results of each flower with the information such as the unique identifier and growth data of the flower to form the individual light feedback. For example, generate a feedback report including the tulip number, growth data at each stage, light adaptation score and evaluation conclusion (such as "good light adaptation", "need to adjust the light intensity", etc.).

[0038] A calibration module 50 is used to perform clustering control feedback on the dimmable LED light source by using the individual light feedback, and correct the control fitting result according to the clustering control feedback.

[0039] Preferably, the calibration module realizes the precision and intelligence of light control through a closed-loop process of data clustering → strategy generation → parameter calibration. It performs clustering control feedback on the dimmable LED light source by using the individual light feedback. Specifically, key features affecting the light demand are extracted from the individual light feedback (growth indicators, light adaptation scores, and spatial position information of each flower), such as growth progress features like "fast-growing type", "standard type", "lagging type", spatial distribution features like "edge area", "central area", "top area", and light response features like "sensitive / tolerant to light intensity". Based on K-means clustering, the flowers are divided into 3-5 clusters, as shown in Table 3: Table 3 Flower clustering result table

[0040] Then, correction strategies are formulated for different clusters. For example, for Cluster 1 (high light demand), increase the light intensity by 15% and extend the light duration by 1 hour; for Cluster 2 (standard demand), maintain the original trajectory and slightly adjust the spectral ratio (such as increasing the blue light by 2%); for Cluster 3 (low light demand), reduce the light intensity by 10% and adjust the red light / far-red light ratio to promote internode elongation. Then, the correction strategy is converted into an adjustment amount of the LED control parameters, and the clustering frequency is dynamically adjusted according to the growth stage. For example, cluster once a week during the seedling stage (small growth differences), cluster once every 3 days during the rapid growth stage (differences expand), and cluster once a day during the flowering stage (fine control is required). Finally, the control fitting result is corrected, and the light scheme is dynamically optimized to reduce unnecessary light redundancy while ensuring the growth effect.

[0041] Furthermore, the specific configuration of the calibration module 50 further includes a clustering matching sub-module, which is used to obtain the individual position coordinates of the flowers in the same batch, and perform associated clustering of the flowers in the same batch and the dimmable LED light source according to the individual position coordinates and the position information to establish an associated clustering result; a feedback authentication sub-module, which is used to perform a feedback adaptation evaluation of the group according to the associated clustering result and the individual light feedback, and establish a clustering control feedback by using the feedback adaptation evaluation result.

[0042] Preferably, through positioning technology (such as arranging positioning sensors in the flower planting area, or using image recognition combined with coordinate calibration), the position coordinates of each flower of the same batch in the planting space are accurately obtained, and the specific positions of the flowers in the planting environments such as greenhouses and flower houses are determined, such as in the corners, middle areas of the greenhouse, or near the windows, etc.; then, combined with the obtained individual position coordinates and the position information of the dimmable LED light sources (such as how high the LED light source is installed above the flower and which direction it is in relative to the flower, etc.), the relative position relationship between each flower and each dimmable LED light source is analyzed, and then the flower individuals of the same batch are associated and clustered with the dimmable LED light sources. For example, the flowers and the corresponding LED light sources that are close in distance are grouped into one category, or the flowers that are mainly irradiated by the same group of LED light sources are divided into a cluster. Finally, the associated clustering result is established to clarify the corresponding relationship between different flower individuals and the LED light sources.

[0043] Preferably, according to the associated clustering result and the individual light feedback (including information such as the growth status and light adaptation evaluation of each flower), each cluster is comprehensively evaluated, including evaluating whether the overall growth consistency of the flowers in the cluster (such as differences in plant height and flowering time, etc.) and the degree of adaptation to the current light conditions (judged by the light adaptation score) are within reasonable ranges, and whether most flowers show good adaptability to the current light; then, according to the results of the feedback adaptation evaluation, the light adjustment strategy for each cluster group is determined, thereby establishing a clustering control feedback. For example, if it is evaluated that the flowers in a certain cluster group grow slowly and have a low light adaptation score, the conclusion is to increase the light intensity of the corresponding LED light source for that group or adjust the spectral ratio; if the flowers in the group grow relatively consistently and have a high adaptation score, then maintain the current light conditions or only make fine-tuning.

[0044] Furthermore, the specific configuration of the feedback authentication sub-module further includes a key positioning unit for performing array intersection recognition of the dimmable LED light sources according to the position information, positioning the array intersection area, and positioning the key flowers of the same batch according to the array intersection area and the individual position coordinates; a penalty compensation unit for performing execution fitting of the dimmable LED light sources according to the clustering control feedback, performing adaptation analysis on the key flowers of the same batch, and establishing a penalty compensation according to the results of the adaptation analysis; and an optimization unit for optimizing the corrected control fitting result according to the penalty compensation.

[0045] Preferably, according to the position information of the dimmable LED light source (such as installation coordinates, irradiation direction, etc.), analyze the intersection of the light rays of each LED light source, determine the area formed by the intersection of the light rays of different LED light sources in the planting space, that is, the array intersection area; then combine the position coordinates of the individual flowers in the same batch, find out the flower individuals located in the key array intersection area, and take them as the key flowers in the same batch. According to the light adjustment strategy for different clustering groups determined by the clustering control feedback, adjust and fit the working parameters of the dimmable LED light source (such as power, spectral ratio, lighting duration, etc.) to make it as close as possible to the expected lighting control requirements; then analyze the adaptation of the key flowers in the same batch located by the key positioning unit under the adjusted lighting conditions, including evaluating whether the growth indicators of the flowers (such as plant height, leaf health, flowering situation, etc.) are improved due to the light adjustment, or whether there are new mismatching problems, for example, observing whether there are signs of burning on the leaves of the flowers (too strong light), or whether the growth is still slow (insufficient light); then according to the adaptation analysis results, if it is found that the growth adaptation of some key flowers is not good after the light adjustment, establish a corresponding penalty compensation mechanism. If the flowers are burned due to too strong light, reduce the power of the corresponding LED light source (penalty); if the light is insufficient, increase the power of the nearby LED light source or adjust the spectrum (compensation). Finally, use the penalty compensation measures to optimize the control fitting result, that is, optimize and adjust the lighting control scheme to ensure that the lighting conditions can not only meet the growth needs of the flowers, but also achieve the best lighting effect as a whole, so as to improve the overall growth quality of the flowers.

[0046] Further, the specific configuration of the joint matching module 10 further includes extracting the flower characteristics of the batch of flowers, using the flower characteristic extraction result and the growth stage recognition result as matching characteristics, performing similar matching on the historical database, and establishing a first joint lighting interval according to the similar matching result. The first joint lighting interval is set with a similar weight; perform a lighting experiment test on the batch of flowers under the growth stage recognition result, and establish a second joint lighting interval according to the lighting experiment test result. The second joint lighting interval is set with a stable weight; complete the joint matching of the lighting intervals according to the first joint lighting interval, the second joint lighting interval, the similar weight, and the stable weight, and establish a matching lighting interval.

[0047] Preferably, conduct a comprehensive observation and measurement of the flowers in the same batch, extract the characteristics that can reflect their properties, which may include flower varieties (such as tulips, roses), plant morphology (plant height, stem thickness, leaf shape and size, etc.), physiological characteristics (such as chlorophyll content, photosynthetic rate, etc.). Then, use the flower extraction results and the growth stage recognition results as matching characteristics to perform similarity matching in the historical database. The historical database stores a large amount of characteristic information of flowers at different growth stages and the corresponding suitable light intervals, etc. Then, establish the first combined light interval according to the similarity matching results (i.e., the light intervals corresponding to the similar records), and set the similarity weight. The higher the similarity, the greater the weight, indicating that the reliability of this interval as a reference is stronger. Conduct a light experiment test during the growth stage of the current batch of flowers, that is, set different combinations of light conditions, such as different light intensities, spectral ratios, light durations, etc. Then, observe and record the growth responses of the flowers under different light conditions, including measuring the growth rate of the flowers (changes in plant height, increase in the number of leaves, etc.), changes in physiological indicators (such as photosynthesis efficiency, nutrient accumulation, etc.), and appearance performance (such as leaf color, flower development, etc.). Furthermore, screen the range of light conditions that can make the flowers grow well, so as to establish the second combined light interval, and set a stable weight for it to reflect the stability and reliability of this interval in reflecting the light requirements of the current flowers. Finally, perform weighted fusion on the first combined light interval and the second combined light interval to finally determine the matching light interval for the purpose of controlling and adjusting the light of the flowers.

[0048] Furthermore, the specific configuration of the individual feedback module 40 further includes using an image acquisition device to perform sequential image acquisition of the flowers in the same batch to establish a sequential image data set; calling the zero-point image in the sequential image data set, using the zero-point image as the reference image, performing frame-by-frame image comparison of the sequential image data set to establish a frame image comparison deviation; and using the frame image comparison deviation for growth tracking fitting to complete growth tracking marking.

[0049] Preferably, an image acquisition device (such as a camera, a camera, etc.) is used to continuously capture images of the same batch of flowers at fixed time intervals (such as every day, every hour), obtain images at different time points, and form a time-series image dataset to record the appearance changes of the flowers during the growth process (such as leaf unfolding, flower opening, plant height increase, color change, etc.). Then, an image at an initial time point (such as the image at the start of the experiment) is selected from the time-series image dataset as the zero-point image, and then the zero-point image is used as the reference image to perform frame-by-frame image comparison of the time-series image dataset, that is, each frame image in the dataset is compared and analyzed at the pixel level with the zero-point image. For example, the differences in the image are identified through image processing (such as edge detection, feature point matching), including plant morphological changes (increase in the number of leaves, elongation of the stem, change in flower size, etc.), position movement (change in plant posture), and color or texture changes (such as yellowing of leaves, color development of petals, etc.). The difference between each frame image and the reference image is quantified as a comparison deviation, such as the change in plant height, the change rate of leaf area, the degree of flower opening, etc. Then, based on the comparison deviation data, growth tracking fitting is performed to determine the growth dynamic trend of the flowers. For example, according to the plant height deviation at different time points, a "plant height - time" growth curve is fitted; according to the change in the number of leaves, the leaf growth rate is fitted; finally, the growth dynamic trend of the flowers is combined with the actual image deviation, and the key growth node features are marked in the time-series image. For example, labels are added to the images of different growth stages (such as "the 5th day of the seedling stage", "the 3rd day of the flowering stage").

[0050] Furthermore, the specific configuration of the control fitting module 30 further includes a cross-stage recognition module, which is used to establish a growth prediction result according to the reading of the growth trend data of the same batch of flowers before performing the light control of the same batch of flowers, and determine whether the growth prediction result meets the cross-stage interval threshold; a constraint establishment module, which is used to establish a cross-stage light constraint if the growth prediction result meets the cross-stage interval threshold, and complete the control fitting after constraining the batch-optimal light trajectory according to the cross-stage light constraint.

[0051] Preferably, before controlling the light of the same batch of flowers, obtain the current growth trend data of this batch of flowers (such as plant height, number of leaves, physiological indicators, growth rate, etc.). Through a time series prediction model, combine historical growth data and environmental parameters to predict the future growth trend of the flowers and form a growth prediction result. Then preset the conversion thresholds between different growth stages (such as the plant height threshold from the seedling stage to the growth stage, the accumulated temperature threshold from the budding stage to the flowering stage, etc.), compare the growth prediction result with these thresholds, and judge whether the flowers may enter the next growth stage earlier or later. For example, if the prediction result shows that the flowers will reach the plant height threshold of the budding stage within 3 days, it is determined that the "cross-stage interval threshold" is met, that is, the growth progress may break through the expected range of the current stage. If the growth prediction result meets the cross-stage threshold, according to the light requirements of the next stage, establish a cross-stage light constraint. For example, if the current is in the seedling stage but it is predicted that it will soon enter the growth stage, the light parameters of the growth stage (such as higher light intensity, different spectral ratios) need to be introduced in advance as constraint conditions, which may include the lower or upper limit of the light interval of the next stage (such as the light intensity needs to be ≥6000 Lux, and the red light ratio needs to be ≥40%). Finally, superimpose the cross-stage light constraint on the original batch-optimal light trajectory and correct and control it to ensure that the light control is synchronized with the actual growth progress of the flowers and avoid growth problems caused by stage mismatch (such as insufficient light affecting flower quality when flowering in advance).

[0052] Furthermore, the specific configuration of the control fitting module 30 further includes controlling and fitting the batch-optimal light trajectory according to the adjustment parameter and the position information to establish an initial fitting scheme; activating the light sensors at the standard positions, monitoring the light data through the light sensors to establish a light response; establishing a residual feedback according to the light response and the light residual of the batch-optimal light trajectory; and updating the initial fitting scheme by using the residual feedback to establish a control fitting result.

[0053] Preferably, according to the adjustment parameters of the dimmable LED light source (such as power, spectral ratio, light duration, etc.) and the position information (such as lamp coordinates, irradiation angle), combine the theoretical parameters of the batch-optimal light trajectory (such as the target light intensity and spectral distribution at each time point), and perform preliminary control fitting through light propagation path calculation, light intensity attenuation formula, etc. to generate an initial fitting scheme to make the LED light source output close to the target trajectory. Then deploy light sensors at standard positions in the planting space (such as above the flower canopy, near typical plants) to monitor the actual light data in real time (such as current light intensity, spectral composition, uniformity), and compare the monitored data with the target value of the initial fitting scheme to form a light response. For example, if the target light intensity is 6500 Lux and the sensor measures 6200 Lux, the light response shows a deviation of 300 Lux. If the target red light ratio in the spectrum is 45% and the actual measurement is 40%, the power of the red light channel needs to be adjusted.

[0054] Preferably, the illumination residual between the actual illumination data and the optimal illumination trajectory of the batch is calculated, that is, the difference between the target value and the measured value, including the illumination intensity residual, the spectral residual and the uniformity residual, and these residuals are integrated into residual feedback to clarify the execution deviation direction and degree of the initial fitting scheme; finally, the initial fitting scheme is iteratively adjusted according to the residual feedback. Specifically, for the intensity residual, the LED power is proportionally adjusted (for example, if the light intensity is less than 5%, the relevant LED power is increased by 5%); for the spectral residual, the ratio of each channel is fine-tuned (for example, if the red light ratio is 5% lower, the red light channel power is increased by 5%); if the uniformity residual exceeds the standard, the power compensation of the LED in the edge area is increased (for example, the power of the edge lamp is increased by 8%), or the illumination angle is adjusted to reduce occlusion; dynamic iteration is performed until the residual is reduced to the allowable range (for example, the light intensity error is ≤±3%, the spectral ratio error is ≤±2%), and finally the control fitting result is generated to ensure that the LED light source output is highly consistent with the optimal illumination trajectory of the batch.

[0055] Furthermore, the specific configuration of a light intensity adaptive adjustment system for flower planting also includes an array monitoring module, which is used to perform array illumination deviation monitoring on all dimmable LED light sources and generate array illumination deviation monitoring results; and an early warning response module, which is used to perform deviation trigger verification on the array illumination deviation monitoring results and issue a balance abnormality early warning.

[0056] Preferably, array illumination deviation monitoring is performed on all dimmable LED light sources, that is, the actual illumination data of each light source (such as light intensity, spectrum, irradiation angle, uniformity, etc.) is collected through a sensor network (such as a multi-node light intensity meter, a spectrometer) deployed in the planting area or a feedback device provided by the light source, and the output status of all dimmable LED light sources is monitored in real time, and compared with preset target parameters (such as the light intensity that the light source should output in the current period is 6000 Lux, red light: blue light = 3:1), to form an array illumination deviation monitoring result; then a threshold range of illumination deviation is preset (such as the light intensity deviation of a single light source is allowed to be ±5%, the spectrum ratio deviation is allowed to be ±5%, and the light intensity deviation of a single light source is allowed to be ±5%, and the light intensity deviation of a single light source is allowed to be ±5%. ±3%, regional uniformity deviation ±10%), and then verify the array illumination deviation monitoring results to determine whether it exceeds the threshold. When a deviation exceeding the threshold is detected, a balanced abnormality warning is reported. The warning content clearly states the abnormality type, location and degree, such as "Warning: The light intensity of the light source in the 5th column of the 2nd row is abnormally low (-8.3%), which may cause insufficient light for the flowers in this area", thereby reminding the operator to promptly check the problem (such as light source failure, occlusion, parameter drift, etc.) to avoid differences in flower growth due to uneven illumination (such as some plants growing too long and some plants stunted), and ensure the consistency, stability and quality of the same batch of flowers in the lighting environment.

[0057] In the above, refer to Figure 1A light intensity adaptive adjustment system for flower cultivation according to an embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 Describe a light intensity adaptive adjustment method for flower cultivation according to an embodiment of the present invention. A light intensity adaptive adjustment method for flower cultivation, as Figure 2 shown, the method includes: performing growth stage identification of batch flowers, using the growth stage identification result for joint matching of light intensity intervals to establish a matching light intensity interval; using the matching light intensity interval as an optimization space, and using a dynamic feedback channel in the optimization space to perform feedback correction of the flower growth effect to establish an optimal light intensity trajectory for the batch; during the light intensity control of the same batch of flowers, after reading the adjustment parameters and position information of the dimmable LED light source, using the optimal light intensity trajectory for the batch as a following target to perform control fitting of the dimmable LED light source to establish a control fitting result; after performing the control of the dimmable LED light source using the control fitting result, performing growth tracking marking on the same batch of flowers, performing an adaptive light intensity adaptation evaluation of individuals according to the growth tracking marking to establish individual light intensity feedback; using the individual light intensity feedback to perform clustering control feedback of the dimmable LED light source, and correcting the control fitting result according to the clustering control feedback.

[0058] In a possible implementation manner, the light intensity adaptive adjustment method for flower cultivation further includes: a clustering matching sub-module, configured to obtain the individual position coordinates of the same batch of flower individuals, and perform association clustering of the same batch of flower individuals and the dimmable LED light source according to the individual position coordinates and the position information to establish an association clustering result; a feedback authentication sub-module, configured to perform a feedback adaptation evaluation of the group according to the association clustering result and the individual light intensity feedback, and establish clustering control feedback by using the feedback adaptation evaluation result.

[0059] In a possible implementation manner, the light intensity adaptive adjustment method for flower cultivation further includes: a key positioning unit, configured to perform array intersection identification of the dimmable LED light source according to the position information, locate the array intersection area, and perform key same batch flower positioning according to the array intersection area and the individual position coordinates; a penalty compensation unit, configured to perform execution fitting of the dimmable LED light source according to the clustering control feedback, perform adaptation analysis on the key same batch of flowers, and establish penalty compensation according to the adaptation analysis result; an optimization unit, configured to optimize the corrected control fitting result according to the penalty compensation.

[0060] In a possible implementation, the method for adaptively adjusting the light intensity of flower cultivation further includes: extracting the flower characteristics of the batch of flowers, using the flower characteristic extraction result and the growth stage recognition result as matching features, performing similar matching on the historical database, establishing a first combined light interval according to the similar matching result, and setting a similar weight for the first combined light interval; conducting a light experiment test on the batch of flowers under the growth stage recognition result, establishing a second combined light interval according to the light experiment test result, and setting a stable weight for the second combined light interval; completing the combined matching of the light intervals according to the first combined light interval, the second combined light interval, the similar weight, and the stable weight, and establishing a matching light interval.

[0061] In a possible implementation, the method for adaptively adjusting the light intensity of flower cultivation further includes: using an image acquisition device to perform sequential image acquisition of the same batch of flowers, establishing a sequential image dataset; calling the zero-point image in the sequential image dataset, using the zero-point image as a reference image, performing frame-by-frame image comparison on the sequential image dataset, and establishing a frame image comparison deviation; using the frame image comparison deviation for growth tracking fitting to complete growth tracking marking.

[0062] In a possible implementation, the method for adaptively adjusting the light intensity of flower cultivation further includes: a cross-stage recognition module, configured to, before performing light control on the same batch of flowers, establish a growth prediction result according to the reading of the growth trend data of the same batch of flowers, and determine whether the growth prediction result meets the cross-stage interval threshold; a constraint establishment module, configured to, if the growth prediction result meets the cross-stage interval threshold, establish a cross-stage light constraint, and complete control fitting after constraining the optimal light trajectory of the batch according to the cross-stage light constraint.

[0063] In a possible implementation, the method for adaptively adjusting the light intensity of flower cultivation further includes: performing control fitting on the optimal light trajectory of the batch according to the adjustment parameter and the position information, and establishing an initial fitting scheme; activating the light sensors at the standard positions, monitoring the light data through the light sensors, and establishing a light response; establishing a residual feedback according to the light response and the light residual of the optimal light trajectory of the batch; using the residual feedback to update the initial fitting scheme and establish a control fitting result.

[0064] In a possible implementation, the method for adaptively adjusting the light intensity of flower cultivation further includes: an array monitoring module, configured to monitor the array light deviation of all dimmable LED light sources, and generate an array light deviation monitoring result; an early warning response module, configured to perform deviation trigger verification on the array light deviation monitoring result and report an equilibrium anomaly early warning.

[0065] The light intensity adaptive adjustment system for flower cultivation provided by the embodiments of the present invention can execute the light intensity adaptive adjustment method for flower cultivation provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0066] Based on the foregoing embodiments, the embodiments of the present application further provide a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, it can implement the light intensity adaptive adjustment system for flower cultivation as described in any previous embodiment.

[0067] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included individual units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0068] The above specific implementation manners do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. An optical intensity adaptive adjustment system for flower cultivation, characterized in that The system includes: A joint matching module, which is used to identify the growth stages of batch flowers, perform joint matching of light intervals by using the growth stage identification results, and establish a matching light interval; An optimization module, which is used to use the matching light interval as an optimization space, and perform feedback correction of the flower growth effect by using a dynamic feedback channel within the optimization space, and establish an optimal light trajectory for the batch; A control fitting module, which is used to, when performing light control on flowers of the same batch, after reading the adjustment parameters and position information of the dimmable LED light source, use the optimal light trajectory of the batch as a following target, perform control fitting of the dimmable LED light source, and establish a control fitting result; An individual feedback module, which is used to perform growth tracking marking on the flowers of the same batch after performing dimmable LED light source control by using the control fitting result, perform an adaptive light adaptation evaluation of individuals according to the growth tracking marking, and establish individual light feedback; A correction module, which is used to perform clustering control feedback of the dimmable LED light source by using the individual light feedback, and correct the control fitting result according to the clustering control feedback.

2. The light intensity adaptive adjustment system for flower cultivation according to claim 1, characterized in that, The correction module includes: A clustering matching sub-module, which is used to obtain the individual position coordinates of the flowers of the same batch, and perform associated clustering of the flowers of the same batch and the dimmable LED light source according to the individual position coordinates and the position information, and establish an associated clustering result; A feedback authentication sub-module, which is used to perform a feedback adaptation evaluation of the group according to the associated clustering result and the individual light feedback, and establish clustering control feedback by using the feedback adaptation evaluation result.

3. The light intensity adaptive adjustment system for flower cultivation according to claim 2, characterized in that, The feedback authentication sub-module includes: A key positioning unit, which is used to perform array intersection recognition of the dimmable LED light source according to the position information, locate the array intersection area, and perform key same-batch flower positioning according to the array intersection area and the individual position coordinates; A penalty compensation unit, which is used to perform execution fitting of the dimmable LED light source according to the clustering control feedback, perform adaptation analysis on the key same-batch flowers, and establish penalty compensation according to the adaptation analysis result; An optimization unit, which is used to optimize the corrected control fitting result according to the penalty compensation.

4. The light intensity adaptive adjustment system for flower cultivation according to claim 1, wherein In the joint matching module, performing joint matching of light intervals by using the growth stage identification results and establishing a matching light interval includes: Extracting the flower characteristics of the batch of flowers, using the flower characteristic extraction results and the growth stage identification results as matching characteristics, performing similar matching of the historical database, and establishing a first joint light interval according to the similar matching results, and the first joint light interval is set with a similar weight; Performing a light experiment test on the batch of flowers under the growth stage identification results, and establishing a second joint light interval according to the light experiment test results, and the second joint light interval is set with a stable weight; Completing the joint matching of the light intervals according to the first joint light interval, the second joint light interval, the similar weight, and the stable weight, and establishing a matching light interval.

5. The light intensity adaptive adjustment system for flower cultivation according to claim 1, characterized in that, In the individual feedback module, performing growth tracking marking on the flowers of the same batch includes: Execute sequential image acquisition of flowers in the same batch using an image acquisition device to establish a sequential image dataset; Call the zero-point image in the sequential image dataset, use the zero-point image as the reference image, perform frame-by-frame image comparison of the sequential image dataset, and establish frame image comparison deviation; Use the frame image comparison deviation for growth tracking fitting to complete growth tracking marking.

6. The light intensity adaptive adjustment system for flower cultivation according to claim 1, characterized in that The control fitting module further includes: A cross-stage recognition module, which is used to establish a growth prediction result according to the growth trend data reading of the flowers in the same batch before performing light control on the flowers in the same batch, and judge whether the growth prediction result meets the cross-stage interval threshold; A constraint establishment module, which is used to establish a cross-stage light constraint if the growth prediction result meets the cross-stage interval threshold, and complete control fitting after constraining the batch-optimal light trajectory according to the cross-stage light constraint.

7. The light intensity adaptive adjustment system for flower cultivation according to claim 1, characterized in that In the control fitting module, with the batch-optimal light trajectory as the following target, perform control fitting of the dimmable LED light source to establish a control fitting result, including: Perform control fitting of the batch-optimal light trajectory according to the adjustment parameter and position information to establish an initial fitting scheme; Activate the light sensor at the standard position, monitor the light data through the light sensor, and establish a light response; Establish a residual feedback according to the light response and the light residual of the batch-optimal light trajectory; Use the residual feedback to update the initial fitting scheme to establish a control fitting result.

8. The light intensity adaptive adjustment system for flower cultivation according to claim 1, characterized in that The system further includes: An array monitoring module, which is used to monitor the array light deviation of all dimmable LED light sources and generate an array light deviation monitoring result; An early warning response module, which is used to perform deviation trigger verification on the array light deviation monitoring result and report an equilibrium anomaly warning.

9. A method for adaptively adjusting light intensity in flower cultivation, characterized in that, The method is applied to a light intensity adaptive adjustment system for flower cultivation according to any one of claims 1-8, and the method includes: Execute the growth stage recognition of the batch of flowers, use the growth stage recognition result for joint matching of the light interval, and establish a matching light interval; Use the matching light interval as the optimization space, and use the dynamic feedback channel in the optimization space to perform feedback correction on the flower growth effect to establish a batch-optimal light trajectory; During the light control of the flowers in the same batch, after reading the adjustment parameter and position information of the dimmable LED light source, use the batch-optimal light trajectory as the following target, perform control fitting of the dimmable LED light source, and establish a control fitting result; After performing dimmable LED light source control using the control fitting result, perform growth tracking marking on the flowers in the same batch, perform individual adaptive light adaptation evaluation according to the growth tracking marking, and establish individual light feedback; Perform clustering control feedback of the dimmable LED light source using the individual light feedback, and correct the control fitting result according to the clustering control feedback.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements a light intensity adaptive adjustment system for flower cultivation according to any one of claims 1-8.

Images