Intelligent germination device based on illumination

Abstract

The invention relates to the technical field of potato cultivation accessory devices, in particular to an intelligent germination device based on illumination. The supporting parts comprise a partition plate layer and an illumination layer, and a plurality of groups of bulbs are arranged at the bottom of the illumination layer; a collection unit; the control part is connected with the acquisition part, determines a voltage fluctuation coefficient of each partition plate layer according to the voltage data, determines regional brightness of potatoes on each partition plate layer according to the germination image, determines illumination intensity of each partition plate layer according to the regional brightness, the voltage data and the voltage fluctuation coefficient, and determines illumination consistency of each partition plate layer according to the illumination intensity; the adjustment prompting part is used for adjusting the position of the dragging part according to the illumination intensity, the potato size and the potato number or adjusting the brightness of the bulb corresponding to each illumination layer according to the illumination consistency; according to the method and the device, the illumination consistency can be ensured by regulating and controlling the illumination intensity, and the accuracy of a DUS test result can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of potato cultivation accessory devices, and in particular to an intelligent germination device based on light. Background Art

[0002] Light intensity significantly affects potato germination and growth, influencing the expression of potato morphology, physiology, and other characteristics. Different light intensities can lead to variations in potato germination speed, sprout length and thickness, leaf color and size, and other factors. In DUS testing, only by strictly controlling light intensity and providing a stable and suitable lighting environment can the characteristics of different potato varieties be expressed under relatively consistent conditions, avoiding misjudgments caused by light intensity fluctuations and ensuring that test results accurately reflect the DUS characteristics of each potato variety.

[0003] Chinese patent publication number: CN209845687U, discloses a potato light germination device, including a cabinet, four groups of left plate supports, four groups of right plate supports, a first partition, a second partition, a third partition and a fourth partition. A placement cavity is provided inside the cabinet, and sixteen groups of wooden boards are provided on the top side walls of the first partition, the second partition, the third partition and the fourth partition, as well as the bottom side walls of the cabinet. Each group of wooden boards is provided with seven groups of nails. A power box is provided in the upper half of the right side wall of the cabinet, and an installation cavity is provided inside the power box. A mounting port is provided in the front side wall of the power box. A transformer is provided inside the power box. Eight groups of light bulbs are provided on the top of the cabinet, the bottom of the first partition, the bottom of the second partition, the bottom of the third partition and the bottom of the fourth partition.

[0004] It can be seen that the above technical solution still has the following problems: the above device is not equipped with a detection and adjustment structure. If the voltage / current of the bulb is unstable, it will cause the parameters such as the bulb brightness and the luminous angle to change, which will lead to unstable light intensity, affecting the consistency and synchronization of potato germination. Summary of the Invention

[0005] To this end, the present invention provides a light-based intelligent germination device to overcome the problem that the existing potato light germination device lacks a detection and feedback device for the uniformity and stability of the bulb lighting, which is not conducive to the consistency and synchronization of potato germination, thereby affecting the potato DUS test results.

[0006] To achieve the above objectives, the present invention provides a light-based intelligent germination device, comprising:

[0007] A cabinet body, wherein a plurality of parallel sliding grooves are arranged on both sides of the inner wall of the cabinet body, and a plurality of light bulbs are arranged on the top of the cabinet body;

[0008] A plurality of supporting parts are slidably connected to the chute to flexibly adjust the position and spacing of the supporting parts. The supporting parts include a partition layer for supporting potatoes and a lighting layer for illuminating the potatoes. The partition layer is arranged above the lighting layer. A plurality of groups of light bulbs are arranged at the bottom of the lighting layer to illuminate the potatoes below.

[0009] a collection unit comprising a first collection component and a second collection component, wherein the first collection component is connected to the light bulb and is used to collect voltage data of the light bulb in real time during lighting, and the second collection component is used to collect images of potato sprouts on the partition layer in real time;

[0010] a control unit, disposed outside the cabinet and connected to the acquisition unit, configured to determine a voltage fluctuation coefficient of each partition layer based on the voltage data, determine a regional brightness of potatoes on each partition layer based on the sprouting image, determine a light intensity of each partition layer based on the regional brightness, the voltage data, and the voltage fluctuation coefficient, and determine a light uniformity of each partition layer based on the light intensity;

[0011] an adjustment prompting unit, which determines an adjustment method for the position of the support portion according to the light intensity, the size of the potatoes on each partition layer, and the number of potatoes, or determines an adjustment method for the brightness of the bulbs corresponding to each illumination layer according to the light consistency, and provides a prompt;

[0012] The control unit waits for a preset time after adjusting the position of the supporting portion or the brightness of the light bulb, collects a thermal imaging image of the potato, and verifies the effect of adjusting the lighting consistency based on the thermal imaging image of the potato;

[0013] The plurality of intelligent sprouting devices establish a communication connection with a centralized display platform through a communication module, so as to display the illumination consistency of the intelligent sprouting devices through the centralized display platform and perform centralized control on the intelligent sprouting devices.

[0014] Furthermore, the device also includes a temperature sensor, a humidity sensor and a spectrophotometer, wherein:

[0015] The temperature sensor is used to detect the ambient temperature in the cabinet, the humidity sensor is used to detect the ambient humidity in the cabinet, and the spectrophotometer is used to detect the reflectivity of the inner wall of the cabinet;

[0016] The control unit is further configured to perform ambient light correction on the sprouting image according to the reflectivity to determine the brightness of the area, and to compensate the brightness of the bulb according to the ambient temperature and humidity.

[0017] Furthermore, the control unit divides each partition layer into several areas based on a preset segmentation method, constructs a bulb voltage curve according to the voltage data of the bulbs in the several areas, and determines the regional voltage fluctuation coefficient according to the bulb voltage curve to determine the voltage fluctuation coefficient.

[0018] Furthermore, the control unit extracts grayscale features based on the sprout image, determines regional brightness of several regions in each partition layer based on the grayscale features, and determines a reflectivity coefficient based on the regional brightness and reflectivity to correct the regional brightness.

[0019] Furthermore, the control unit determines a voltage correction coefficient according to the voltage fluctuation coefficient and a preset fluctuation coefficient, and determines regional illumination intensity based on the voltage data, the voltage correction coefficient and the regional brightness to determine the illumination intensity of each partition layer.

[0020] Furthermore, the control unit determines the intensity difference between each partition layer according to the light intensity, and determines the intensity variation coefficient according to the intensity difference to evaluate the light consistency.

[0021] Furthermore, the adjustment prompting unit determines an adjustment method for the supporting unit according to a preset light intensity and the light intensity, including:

[0022] If the light intensity is greater than the preset light intensity, lowering the position of the supporting part;

[0023] If the light intensity is less than the preset light intensity, raising the position of the supporting part;

[0024] If the light intensity is equal to the preset light intensity, the position of the supporting portion is not adjusted;

[0025] The height adjustment amount of the supporting part is determined according to the preset light intensity, light intensity, potato size and potato quantity.

[0026] Furthermore, the adjustment prompting unit determines a method for adjusting the brightness of the light bulb according to the illumination consistency and the preset consistency, including:

[0027] If the illumination consistency is less than the preset consistency, the brightness adjustment amount of each bulb in each partition layer is determined according to the regional brightness, the illumination consistency and the preset consistency.

[0028] Furthermore, the control unit determines a temperature compensation coefficient and a humidity compensation coefficient according to the ambient temperature and the ambient humidity, respectively, and determines a brightness compensation amount according to the temperature compensation coefficient, the humidity compensation coefficient and the brightness adjustment amount.

[0029] Furthermore, the control unit determines the surface temperature of all potatoes on each partition layer based on the potato thermal imaging image, determines the temperature difference between each partition layer based on the surface temperature, and verifies the adjustment effect of the lighting consistency based on the temperature difference.

[0030] Compared with existing technologies, the present invention achieves a beneficial effect by achieving precise control and monitoring of the lighting environment through the coordinated operation of the cabinet, support unit, collection unit, control unit, and adjustment prompt unit. On the one hand, based on multi-source information such as bulb voltage data and potato sprout images, the light intensity and consistency of each partition layer are dynamically calculated, and the position of the support unit and bulb brightness are flexibly adjusted to create uniform and suitable lighting conditions for the potatoes. On the other hand, after the adjustment, the lighting consistency adjustment effect is verified by collecting potato thermal imaging images, ensuring a stable and reliable test environment, thereby effectively reducing potato growth differences caused by lighting factors, improving the accuracy and reliability of potato specificity, consistency, and stability assessments in DUS testing, and ensuring the scientific and fair nature of the test results.

[0031] Furthermore, on the one hand, the present invention can effectively eliminate the interference of ambient light reflection differences on image acquisition by detecting the reflectivity of the cabinet inner wall and performing ambient light correction on the germination image, providing a reliable data basis for subsequent light intensity calculation and light consistency evaluation based on regional brightness. On the other hand, the present invention compensates for the brightness of the bulb according to the ambient temperature and humidity to solve the problem of unstable light caused by changes in environmental factors, thereby ensuring the consistency of light inside the cabinet while improving the accuracy and scientificity of light-related evaluation in the potato DUS test, so that the test results can more truly reflect the growth characteristics of potatoes under specific lighting environments.

[0032] Furthermore, the present invention divides each partition layer into regions and analyzes voltage fluctuations to determine the voltage fluctuation coefficient, which helps to promptly discover potential problems in the lighting system, avoid the adverse effects of unstable lighting on potato growth, and enable the DUS test results to more truly reflect the characteristics of the potato variety.

[0033] Furthermore, the present invention determines the regional brightness by extracting the grayscale features of the germination image, and corrects the regional brightness in combination with the reflectivity of the inner wall of the cabinet, effectively eliminating the measurement deviation caused by the reflection of the inner wall and avoiding the misjudgment of the regional brightness due to ambient light interference, thereby laying the foundation for the subsequent adjustment of the support position and the brightness of the bulb, ensuring that potatoes grow under stable and accurate lighting conditions, and improving the accuracy and credibility of the potato DUS test results.

[0034] Furthermore, the present invention combines the voltage fluctuation coefficient with the preset fluctuation coefficient to determine the voltage correction coefficient, which effectively copes with voltage fluctuations. At the same time, based on the voltage correction coefficient and voltage data, the regional brightness is combined to characterize the regional light intensity, making the light intensity calculation more accurate, so that the DUS test results can more truly reflect the characteristics of the variety, and improve the reliability and accuracy of the test results.

[0035] Furthermore, the present invention can accurately control the light intensity received by the potatoes by adjusting the position of the supporting portion according to the light intensity and potato-related parameters on each partition layer, providing stable and suitable lighting conditions for potato germination, helping to improve the uniformity and consistency of potato germination, reducing germination differences caused by uneven or unsuitable lighting, and being beneficial to improving the quality of potato germination and promoting subsequent growth. At the same time, potato DUS testing can be performed more accurately.

[0036] Furthermore, when the lighting consistency is insufficient, the present invention determines the bulb brightness adjustment amount based on the regional brightness, actual lighting consistency and preset consistency, effectively eliminating the lighting differences between the partition layers, avoiding deviations in potato germination time and growth rate due to uneven lighting, significantly improving the consistency of potato growth status, effectively reducing the interference of the environment on the potato DUS test results, and ensuring the potato variety specificity, consistency and stability.

[0037] Furthermore, the present invention combines thermal imaging images to determine the light consistency of potatoes in the cabinet after adjustment, which helps to adjust relevant parameters in a timely manner, verify the effect of adjusting the light consistency, and ensure the accuracy and reliability of the potato DUS test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 Schematic diagram of the structure of an intelligent germination device based on light according to an embodiment of the present invention;

[0039] Figure 2 This is a flowchart of the lighting adjustment of the intelligent germination device of the present invention;

[0040] Figure 3 A flow chart for determining a voltage fluctuation coefficient according to an embodiment of the present invention;

[0041] Figure 4 A flowchart for determining light intensity according to an embodiment of the present invention;

[0042] In the figure: 1, cabinet body; 201, partition layer; 202, lighting layer; 3, control unit; 4, slide. DETAILED DESCRIPTION

[0043] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0044] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0045] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0046] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0047] See also Figure 1 、 Figure 2 As shown, Figure 1 This is a schematic structural diagram of an intelligent germination device based on light according to an embodiment of the present invention. Figure 2 This is a flowchart of the lighting adjustment of the intelligent germination device of the present invention;

[0048] Specifically, the present invention provides a light-based intelligent germination device, comprising:

[0049] A cabinet 1, wherein a plurality of parallel chute grooves 4 are arranged on both sides of the inner wall of the cabinet 1, and a plurality of light bulbs are arranged on the top of the cabinet 1;

[0050] Several supporting parts are slidably connected to the chute 4 to flexibly adjust the position and spacing of the supporting parts. The supporting parts include a partition layer 201 for supporting potatoes and a lighting layer 202 for illuminating the potatoes. The partition layer 201 is arranged above the lighting layer 202. Several groups of light bulbs are arranged at the bottom of the lighting layer 202 to illuminate the potatoes below.

[0051] A collection unit (not shown), comprising a first collection component and a second collection component, wherein the first collection component is connected to the light bulb and is used to collect voltage data of the light bulb in real time during lighting, and the second collection component is used to collect images of potato sprouts on the partition layer 201 in real time;

[0052] a control unit 3, disposed outside the cabinet 1 and connected to the acquisition unit, for determining a voltage fluctuation coefficient of each partition layer 201 based on the voltage data, determining a regional brightness of potatoes on each partition layer 201 based on the sprouting image, determining a light intensity of each partition layer 201 based on the regional brightness, the voltage data, and the voltage fluctuation coefficient, and determining a light consistency of each partition layer 201 based on the light intensity;

[0053] An adjustment prompting unit (not shown) determines a method for adjusting the position of the support unit according to the light intensity, the size of the potatoes on each partition layer 201, and the number of potatoes, or determines a method for adjusting the brightness of the bulbs corresponding to each illumination layer 202 according to the light consistency, and provides prompts;

[0054] The control unit 3 waits for a preset time after adjusting the position of the supporting part or the brightness of the light bulb, collects a thermal imaging image of the potato, and verifies the effect of the adjustment of the lighting consistency based on the thermal imaging image of the potato;

[0055] The plurality of intelligent sprouting devices establish a communication connection with a centralized display platform through a communication module, so as to display the illumination consistency of the intelligent sprouting devices through the centralized display platform and perform centralized control on the intelligent sprouting devices.

[0056] Understandably, consistent lighting is crucial to potato growth and development in potato DUS testing. Excessive variations in light intensity can lead to varying growth rates and uneven germination, which can affect the consistency of potato growth. A uniform lighting environment can reduce the impact of light on potato growth, ensuring that test results more accurately reflect the characteristics of the potato variety.

[0057] It is understood that the support portion, through its sliding connection with the slide groove 4 on the inner wall of the cabinet 1, can be flexibly adjusted in the vertical direction in terms of position and spacing, thereby placing the potatoes in a more suitable lighting environment and maintaining uniform lighting for the potatoes. The bulb brightness can also be directly adjusted based on the lighting consistency. If the light in certain areas is too strong or too weak, the brightness of the corresponding bulb can be reduced or increased, thus meeting the lighting uniformity requirements for potato growth and reducing energy consumption.

[0058] In a specific embodiment, a plurality of groups of parallel chutes 4 are relatively provided on both sides of the inner wall of the cabinet 1. These chutes 4 extend along the width direction of the cabinet 1. The light bulb group on the top of the cabinet 1 is fixed in the reserved groove on the top of the cabinet 1 by embedded installation, and fits tightly with the internal space of the cabinet 1. A vent is provided on the side of the cabinet 1, and a high-efficiency heat dissipation fan is built in to maintain a stable internal temperature to avoid excessive temperature caused by heat from the light bulbs affecting potato germination. Each supporting part is composed of an upper and lower layer structure of a partition layer 201 and an illumination layer 202. The two layers are fixedly connected by high-strength support columns to ensure structural stability. Air holes are evenly provided on the surface of the partition layer 201. The illumination layer 202 is located below the partition layer 201, and a plurality of groups of light bulbs are installed at the bottom. The light bulbs in the illumination layer 202 and the light bulbs on the top of the cabinet 1 work together to achieve lighting of the potatoes. The first acquisition component is a high-precision voltage sensor, which is directly connected to the power supply circuit of each bulb. It is used to collect real-time voltage data of the bulb during the lighting process and transmit it to the control unit 3. The second acquisition component is a high-resolution industrial camera, which is used to capture images of potato sprouts and transmit them to the control unit 3. The control unit 3 is installed in an independent control box outside the cabinet 1. The control box adopts a waterproof and dustproof design. The adjustment prompt unit is connected to the control unit 3 to achieve precise adjustment of the support position and the brightness of the bulb. In practice, the installation position of the first acquisition component and the second acquisition component, as well as the arrangement of the bulbs, can be determined according to actual conditions and are not specifically limited here and will not be elaborated.

[0059] In another specific embodiment, the preset duration ranges from 10 minutes to 20 minutes, and preferably, the preset duration range is 15 minutes. In implementation, the range and preferred value of the preset duration can be determined according to actual conditions, and are not specifically limited here and will not be elaborated on.

[0060] The present invention achieves precise control and monitoring of the lighting environment through the coordinated operation of the cabinet 1, the support and drag unit, the data collection unit, the control unit 3, and the adjustment and prompting unit. Firstly, based on multiple sources of information, such as bulb voltage data and potato sprout images, the system dynamically calculates the light intensity and consistency of each partition layer 201, and flexibly adjusts the position of the support and drag unit and the brightness of the bulbs to create uniform and suitable lighting conditions for the potatoes. Secondly, after the adjustments, the lighting consistency adjustment is verified by collecting thermal images of the potatoes, ensuring a stable and reliable testing environment. This effectively reduces potato growth variability caused by lighting factors, improves the accuracy and reliability of potato specificity, consistency, and stability assessments in DUS testing, and ensures the scientific and impartial nature of the test results.

[0061] Specifically, the device further includes a temperature sensor, a humidity sensor and a spectrophotometer, wherein:

[0062] The temperature sensor is used to detect the ambient temperature in the cabinet 1, the humidity sensor is used to detect the ambient humidity in the cabinet 1, and the spectrophotometer is used to detect the reflectivity of the inner wall of the cabinet 1;

[0063] The control unit 3 is further configured to perform ambient light correction on the sprouting image according to the reflectivity to determine the regional brightness, and to compensate the bulb brightness according to the ambient temperature and humidity.

[0064] It is understandable that the different reflectivity of the inner wall of the cabinet 1 will cause differences in the intensity and distribution of ambient light reflection, which will in turn cause light and dark deviations in the germination image, affecting the judgment of regional brightness. After ambient light correction, a more accurate germination image can be obtained, thereby more accurately determining the regional brightness and avoiding misjudgments caused by ambient light interference. At the same time, the ambient temperature and humidity will also affect the light intensity of the bulb. Among them, high temperature will reduce the luminous efficiency of the bulb chip, resulting in light decay. At the same time, in a high humidity environment, water vapor will scatter and absorb the light of the bulb, causing the overall light to be lost during the propagation process, affecting the lighting effect. Therefore, compensation corrections are made to the regional brightness and bulb brightness respectively to reduce the interference of light fluctuations caused by environmental factors on subsequent adjustments.

[0065] In a specific embodiment, temperature sensors, humidity sensors and spectrophotometers may be provided on both sides of the cabinet 1 . Preferably, a larger and flatter area on the inner wall of the cabinet 1 is selected for detection.

[0066] On the one hand, the present invention can effectively eliminate the interference of ambient light reflection differences on image acquisition by detecting the reflectivity of the inner wall of the cabinet 1 and performing ambient light correction on the germination image, providing a reliable data basis for subsequent light intensity calculation and light consistency evaluation based on regional brightness. On the other hand, the present invention compensates for the brightness of the bulb according to the ambient temperature and humidity to solve the problem of unstable light caused by changes in environmental factors, thereby ensuring the light consistency in the cabinet 1 while improving the accuracy and scientificity of the light-related evaluation in the potato DUS test, so that the test results can more truly reflect the growth characteristics of potatoes under specific lighting environments.

[0067] See also Figure 3 As shown, it is a flow chart of determining the voltage fluctuation coefficient in an embodiment of the present invention; specifically, the control unit 3 divides each partition layer 201 into several areas based on a preset segmentation method, constructs a bulb voltage curve according to the voltage data of the bulbs in the several areas, and determines the regional voltage fluctuation coefficient according to the bulb voltage curve to determine the voltage fluctuation coefficient.

[0068] Understandably, stable and consistent lighting is crucial for potato growth and DUS test results. Voltage is a key factor influencing bulb luminous intensity. By recording and analyzing how bulb voltage changes over time or other variables, we can intuitively understand the bulb's operating status. Voltage fluctuations can lead to unstable bulb brightness, and the voltage fluctuation coefficient reflects the degree of voltage instability.

[0069] In a specific embodiment, the preset segmentation method is to divide each partition layer 201 into regions using a 10cm×10cm grid. The voltage data fluctuation curve of a single region is determined by the bulb voltage in the region. At the same time point, the average of the bulb voltage data in a single region is the regional voltage average. Voltage data is collected in real time, and a bulb voltage curve corresponding to a single region is constructed based on the collection time and the regional voltage average. The collection time is set to 1h to 1.5h, preferably 1.2h. The maximum peak value and minimum trough value are determined based on the bulb voltage curve. The voltage fluctuation coefficient is obtained by calculating an average value of the voltage fluctuation coefficients of all regions.

[0070] The present invention divides each partition layer 201 into regions and analyzes voltage fluctuations to determine the voltage fluctuation coefficient, which helps to promptly discover potential problems in the lighting system, avoid adverse effects on potato growth caused by unstable lighting, and enable DUS test results to more truly reflect the characteristics of potato varieties.

[0071] Specifically, the control unit 3 extracts grayscale features based on the sprout image, determines regional brightness of several regions in each partition layer 201 based on the grayscale features, and determines a reflectivity coefficient based on the regional brightness and reflectivity to correct the regional brightness.

[0072] It is understandable that varying light intensities can affect potato growth and development, and accurately understanding the regional brightness of several areas within each partition layer 201 is essential for achieving precise light control. By extracting grayscale features from the potato sprout image, the regional brightness of the potato surface in different areas can be reflected, allowing the brightness distribution of the potatoes on each partition layer 201 to be determined. Because the reflectivity of the inner wall of the cabinet 1 affects the actual lighting conditions of each partition layer 201, determining the reflectivity coefficient allows for correction of regional brightness, eliminating the interference of the cabinet 1 inner wall reflection on light intensity, and obtaining more accurate regional brightness, thereby improving the accuracy and reliability of light control.

[0073] In a specific embodiment, the collected sprout image is preprocessed, including operations such as noise removal and contrast and brightness adjustment, to improve image clarity and quality. Based on the preprocessed sprout image and a contour extraction algorithm, the average grayscale value of all pixels corresponding to the potato on each partition layer 201 is extracted, and the average grayscale value is used as the grayscale feature value of the potato region within the corresponding partition layer 201. The regional brightness corresponding to the grayscale feature value is determined by a pre-established mapping relationship between the potato grayscale feature and the regional brightness. The mapping relationship can be established through an experimental calibration method. Potato images are captured under different light intensities, the corresponding grayscale feature values and the actual light intensity are recorded, and a corresponding functional relationship is obtained. The regional brightness is determined based on the functional relationship and the grayscale feature values. In practice, the method for determining the regional brightness can be determined according to actual conditions and is not specifically limited here and will not be described in detail.

[0074] In another specific embodiment, the corrected regional brightness = original regional brightness × reflectivity coefficient, The absorption coefficient reflects the potato's ability to absorb light, and its value ranges from 0.4 to 0.8, with a preferred value of 0.55. The incident light intensity refers to the intensity of light irradiated by the bulb onto the potato area within cabinet 1, which can be calculated and determined using light source parameters and optical path loss. In practice, the range and preferred value of the absorption coefficient can be determined based on actual conditions and are not specifically limited here or elaborated upon.

[0075] The present invention determines the regional brightness by extracting the grayscale features of the germination image and corrects the regional brightness in combination with the reflectivity of the inner wall of the cabinet 1, effectively eliminating the measurement deviation caused by the reflection of the inner wall and avoiding the misjudgment of the regional brightness due to the interference of ambient light, thereby laying the foundation for the subsequent adjustment of the support position and the brightness of the bulb, ensuring that potatoes grow under stable and accurate lighting conditions, and improving the accuracy and credibility of the potato DUS test results.

[0076] See also Figure 4 As shown, it is a flow chart of determining the light intensity in an embodiment of the present invention. Specifically, the control unit 3 determines the voltage correction coefficient based on the voltage fluctuation coefficient and the preset fluctuation coefficient, and determines the regional light intensity based on the voltage data, the voltage correction coefficient and the regional brightness to determine the light intensity of each partition layer 201.

[0077] It is understandable that in actual testing environments, voltage is not constant. Minor voltage fluctuations may cause changes in the actual output power of the bulb, thereby affecting the light intensity. The voltage data is the direct factor affecting the bulb's luminous intensity, while the regional brightness is the visual effect reflected by the image capture device after light shines on the potato. As the voltage increases, the bulb power increases, the luminous intensity increases, and the regional brightness in the sprout image also increases accordingly. The preset fluctuation coefficient is a baseline value for the bulb voltage fluctuation. Under the preset fluctuation coefficient, the bulb can operate stably and provide relatively stable light intensity. If the voltage fluctuation coefficient is too large, it may cause unstable bulb brightness, thereby affecting the growth of the potato and hindering the potato DUS test. Therefore, the regional light intensity is determined based on the voltage data and voltage correction coefficient, as well as the regional brightness that represents the light intensity of the potato in several areas on each partition layer 201 to determine the light intensity of each partition layer 201.

[0078] It can be understood that by determining the light intensity of each partition layer 201 and subsequently adjusting the position of the support part and the brightness of the bulb, it is possible to ensure that potatoes on different partition layers 201 grow under the same lighting environment, effectively eliminating potential lighting differences, helping to reduce environmental interference with potato growth, and improving the credibility of the DUS test results.

[0079] In a specific embodiment, the The preset fluctuation coefficient has a value range of 0.05 to 0.1, and preferably has a value of 0.08. The voltage data is the voltage data corresponding to a single bulb. The sum of the bulb voltage data in each area on each partition layer 201 is the regional voltage average. The regional illumination intensity is determined based on the regional voltage average, the regional brightness, and the voltage correction coefficient.

[0080] The first conversion factor represents the conversion factor between bulb voltage and light intensity, while the second conversion factor represents the conversion factor between the brightness of the potato image region and light intensity. These first and second conversion factors can be determined based on a limited number of experiments to determine the parameters of bulb voltage, potato image brightness, and light intensity, as well as the component voltage-light intensity relationship and image brightness-light intensity relationship. The light intensity corresponding to each partition layer 201 is the average of the regional light intensity. In practice, the range and preferred value of the preset fluctuation coefficient can be determined based on actual conditions and are not specifically limited here or elaborated upon.

[0081] The present invention combines the voltage fluctuation coefficient with the preset fluctuation coefficient to determine the voltage correction coefficient, which effectively copes with voltage fluctuations. At the same time, based on the voltage correction coefficient and voltage data, the regional brightness is combined to characterize the regional light intensity, making the light intensity calculation more accurate, so that the DUS test results can more truly reflect the characteristics of the variety, and improve the reliability and accuracy of the test results.

[0082] Specifically, the control unit 3 determines the intensity difference between each partition layer 201 according to the light intensity, and determines the intensity variation coefficient according to the intensity difference to evaluate the light consistency.

[0083] It is understandable that in the DUS potato test, illumination consistency is a key factor in ensuring the accuracy and reliability of the test results. The difference in illumination intensity between each partition layer 201 is determined by the intensity variation coefficient. The smaller the intensity variation coefficient, the better the illumination consistency.

[0084] In a specific embodiment, the preset coefficient of variation is 0.1. If the intensity coefficient of variation is greater than the preset coefficient of variation, it means that the lighting consistency is poor. If the intensity coefficient of variation is less than or equal to the preset coefficient of variation, it means that the lighting consistency is good. The intensity coefficient of variation = the average value of the intensity difference of all partition layers 201 / the standard deviation of the intensity difference of all partition layers 201. In implementation, the value range and preferred value of the preset coefficient of variation can be determined according to actual conditions. No specific limitation is made here and no further details are given.

[0085] Specifically, the adjustment prompting unit determines the adjustment method of the support unit according to the preset light intensity and the light intensity, including:

[0086] If the light intensity is greater than the preset light intensity, lowering the position of the supporting part;

[0087] If the light intensity is less than the preset light intensity, raising the position of the supporting part;

[0088] If the light intensity is equal to the preset light intensity, the position of the supporting portion is not adjusted;

[0089] The height adjustment amount of the supporting part is determined according to the preset light intensity, light intensity, potato size and potato quantity.

[0090] It is understandable that the adjustment prompt part will compare the actual detected light intensity with the preset light intensity to determine the adjustment method of the supporting part. If the actual light intensity is greater than the preset value, the position of the supporting part will be lowered to make the potatoes farther away from the light bulb and reduce the light intensity; conversely, when the actual light intensity is less than the preset value, the position of the supporting part will be raised to make the potatoes closer to the light bulb and increase the light intensity; and when adjusting the height of the supporting part, the height adjustment amount of the supporting part will be determined by comprehensively considering factors such as the potato size and the number of potatoes, so as to achieve precise control of the light intensity and provide the most suitable lighting environment for the potatoes.

[0091] It can be understood that the number of potatoes refers to the number of potatoes on each separator layer 201, and the size of potatoes refers to the size of a single potato, that is, the volume of a single potato.

[0092] In a specific embodiment, preferably, in the potato DUS standard environment, the preset light intensity has a value range of 4 to 8Ls, which is conducive to potato cultivation. Light intensity difference = |preset light intensity - light intensity|, the light intensity difference is positively correlated with the height adjustment amount of the supporting part, wherein, if the preset light intensity is greater than the actual light intensity, the position of the supporting part is lowered, otherwise, the position of the supporting part is raised. The potato size is the volume of a single potato, the average potato size on each partition layer 201 = the sum of the potato volumes on each partition layer 201 / the number of potatoes, the average potato size of the supporting part = the sum of the potato volumes on all partition layers 201 / the sum of the potato numbers on all partition layers 201,

[0093] In implementation, the value range and preferred value of the preset light intensity can be determined according to actual conditions, and the size is not specifically limited and will not be described in detail.

[0094] By adjusting the position of the supporting portion according to the light intensity and potato-related parameters on each partition layer 201, the present invention can accurately control the light intensity received by the potatoes, provide stable and suitable lighting conditions for potato germination, help improve the uniformity and consistency of potato germination, reduce germination differences caused by uneven or unsuitable lighting, and help improve the quality of potato germination and promote subsequent growth. At the same time, it can more accurately perform potato DUS testing.

[0095] Specifically, the adjustment prompt unit determines the adjustment method for the bulb brightness according to the illumination consistency and the preset consistency, including:

[0096] If the illumination consistency is less than the preset consistency, the brightness adjustment amount of each bulb in each partition layer 201 is determined according to the regional brightness, the illumination consistency and the preset consistency.

[0097] It is understood that preset consistency is an important criterion for ensuring consistent potato growing conditions. If the actual illumination consistency is less than the preset consistency, it indicates that illumination differences exist between the various partition layers 201. These differences can lead to different potato growth and development conditions, thereby interfering with accurate assessments of potato variety specificity, consistency, and stability. It is difficult to precisely adjust illumination based solely on illumination consistency. Regional brightness quantification reflects the actual illumination intensity received by potatoes in each layer, illumination consistency reflects the degree of current illumination differences, and preset consistency serves as the adjustment target. The combination of these three parameters effectively adjusts the brightness of the bulbs within each partition layer 201, achieving precise calibration of the lighting environment.

[0098] In a specific embodiment,

[0099] When the illumination consistency is insufficient, the present invention determines the amount of adjustment for the bulb brightness by combining the regional brightness, the actual illumination consistency, and the preset consistency, thereby effectively eliminating illumination differences between the partition layers 201 and avoiding deviations in potato germination time and growth rate due to uneven illumination. This significantly improves the consistency of potato growth status, effectively reduces environmental interference with potato DUS test results, and ensures potato variety specificity, consistency, and stability.

[0100] Specifically, the control unit 3 determines a temperature compensation coefficient and a humidity compensation coefficient according to the ambient temperature and the ambient humidity, respectively, and determines a brightness compensation amount according to the temperature compensation coefficient, the humidity compensation coefficient and the brightness adjustment amount.

[0101] It's understandable that as humidity increases, water vapor easily condenses on the bulb's surface, affecting the bulb's brightness and causing it to decrease. Meanwhile, as temperature rises, the filament's resistance increases, affecting luminous efficiency and reducing brightness. Therefore, both humidity and temperature are negatively correlated with bulb brightness.

[0102] In a specific embodiment, the control unit 3 determines the temperature compensation coefficient and the humidity compensation coefficient according to the ambient temperature and the ambient humidity respectively. The brightness of the bulb under different ambient temperatures and ambient humidity can be determined through experimental simulation. described The preset ambient temperature ranges from 20° C. to 25° C., the ambient humidity ranges from 40% to 60% RH, and the brightness compensation amount = temperature compensation coefficient × humidity compensation coefficient × brightness adjustment amount.

[0103] Specifically, the control unit 3 determines the surface temperature of all potatoes on each partition layer 201 based on the potato thermal imaging image, determines the temperature difference between each partition layer 201 based on the surface temperature, and verifies the adjustment effect of the lighting consistency based on the temperature difference.

[0104] It's understandable that light from a bulb causes potatoes to absorb energy and convert it into heat. Different light intensities in different areas of the potato result in different surface temperatures. When a potato is exposed to consistent light, its surface temperature distribution is relatively uniform. However, if the light is inconsistent, areas with stronger light absorb more heat and have higher temperatures, while areas with weaker light have lower temperatures. Therefore, the consistency of the light can be determined by analyzing the temperature distribution on the potato surface in thermal images.

[0105] In one specific embodiment, image analysis software is used to process the collected thermal imaging images, identify the outline of each potato on each partition layer 201, extract its surface temperature data, calculate the summed mean temperature of the potatoes on each partition layer 201, and determine the temperature difference between different partition layers 201 based on the summed mean temperature. If the temperature difference is within a preset temperature difference range of 0°C to 2°C, the adjusted lighting consistency is good. If the temperature difference exceeds the preset temperature difference range, the lighting consistency is re-determined and the relevant parameters are adjusted accordingly. In practice, the preset temperature difference range can be determined based on actual conditions and is not specifically limited here and will not be further described.

[0106] The present invention combines thermal imaging images to determine the light consistency of potatoes in the cabinet 1 after adjustment, which helps to adjust relevant parameters in a timely manner, verify the effect of adjusting the light consistency, and ensure the accuracy and reliability of the potato DUS test results.

[0107] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An intelligent germination device based on light, characterized in that: include: A cabinet body, wherein a plurality of parallel sliding grooves are arranged on both sides of the inner wall of the cabinet body, and a plurality of light bulbs are arranged on the top of the cabinet body; A plurality of supporting parts are slidably connected to the slide groove to adjust the position and spacing of the supporting parts. The supporting parts include a partition layer for supporting potatoes and a lighting layer for illuminating the potatoes. The partition layer is arranged above the lighting layer. A plurality of groups of light bulbs are arranged at the bottom of the lighting layer to illuminate the potatoes below. a collection unit comprising a first collection component and a second collection component, wherein the first collection component is connected to the light bulb and is used to collect voltage data of the light bulb in real time during lighting, and the second collection component is used to collect images of potato sprouts on the partition layer in real time; a germination control unit, disposed outside the cabinet and connected to the acquisition unit, configured to determine a voltage fluctuation coefficient of each partition layer based on the voltage data, determine a regional brightness of potatoes on each partition layer based on the germination image, determine a light intensity of each partition layer based on the regional brightness, the voltage data, and the voltage fluctuation coefficient, and determine a light uniformity of each partition layer based on the light intensity; an adjustment prompting unit, which determines an adjustment method for the position of the support portion according to the light intensity, the size of the potatoes on each partition layer, and the number of potatoes, or determines an adjustment method for the brightness of the bulbs corresponding to each illumination layer according to the light consistency, and provides a prompt; The control unit waits for a preset time after adjusting the position of the supporting portion or the brightness of the light bulb, collects a thermal imaging image of the potato, and verifies the effect of adjusting the lighting consistency based on the thermal imaging image of the potato; The plurality of intelligent sprouting devices establish a communication connection with a centralized display platform through a communication module, so as to display the illumination consistency of the intelligent sprouting devices through the centralized display platform and perform centralized control on the intelligent sprouting devices.

2. The light-based intelligent germination device according to claim 1, characterized in that: The device also includes a temperature sensor, a humidity sensor and a spectrophotometer, wherein: The temperature sensor is used to detect the ambient temperature in the cabinet, the humidity sensor is used to detect the ambient humidity in the cabinet, and the spectrophotometer is used to detect the reflectivity of the inner wall of the cabinet; The control unit is further configured to perform ambient light correction on the sprouting image according to the reflectivity to determine the brightness of the area, and to compensate the brightness of the bulb according to the ambient temperature and humidity.

3. The light-based intelligent germination device according to claim 2, characterized in that: The control unit divides each partition layer into several areas based on a preset segmentation method, constructs a bulb voltage curve according to the voltage data of the bulbs in the several areas, and determines the regional voltage fluctuation coefficient according to the bulb voltage curve to determine the voltage fluctuation coefficient.

4. The light-based intelligent germination device according to claim 3, characterized in that: The control unit extracts grayscale features based on the sprout image, determines regional brightness of several regions in each partition layer based on the grayscale features, and determines a reflectivity coefficient based on the regional brightness and reflectivity to correct the regional brightness.

5. The light-based intelligent germination device according to claim 4, characterized in that: The control unit determines a voltage correction coefficient according to the voltage fluctuation coefficient and a preset fluctuation coefficient, and determines regional illumination intensity based on the voltage data, the voltage correction coefficient, and the regional brightness to determine the illumination intensity of each partition layer.

6. The light-based intelligent germination device according to claim 5, characterized in that: The control unit determines the intensity difference between each partition layer according to the light intensity, and determines the intensity variation coefficient according to the intensity difference to evaluate the light consistency.

7. The light-based intelligent germination device according to claim 6, characterized in that: The adjustment prompting unit determines an adjustment method for the supporting unit according to the preset light intensity and the light intensity, including: If the light intensity is greater than the preset light intensity, lowering the position of the supporting part; If the light intensity is less than the preset light intensity, raising the position of the supporting part; If the light intensity is equal to the preset light intensity, the position of the supporting portion is not adjusted; The height adjustment amount of the supporting part is determined according to the preset light intensity, light intensity, potato size and potato quantity.

8. The light-based intelligent germination device according to claim 7, characterized in that: The adjustment prompting unit determines a method for adjusting the brightness of the light bulb according to the illumination consistency and the preset consistency, including: If the illumination consistency is less than the preset consistency, the brightness adjustment amount of each bulb in each partition layer is determined according to the regional brightness, the illumination consistency and the preset consistency.

9. The light-based intelligent germination device according to claim 8, characterized in that: The control unit determines a temperature compensation coefficient and a humidity compensation coefficient according to the ambient temperature and the ambient humidity, respectively, and determines a brightness compensation amount according to the temperature compensation coefficient, the humidity compensation coefficient and the brightness adjustment amount.

10. The light-based intelligent germination device according to claim 1, characterized in that: The control unit determines the surface temperature of all potatoes on each partition layer according to the potato thermal imaging image, determines the temperature difference between each partition layer based on the surface temperature, and verifies the adjustment effect of the lighting consistency based on the temperature difference.

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