Light formula design method and device of plant light source, medium, program product and terminal

Abstract

The invention provides a light formula design method and device for plant light sources, a medium, a program product and a terminal, and the method comprises the steps: building a light source database, combining with botanical parameter calculation, employing a wavelength correction and temperature rise attenuation correction method, building a spectrum design calculation table, extracting the characteristic data of various plant light sources, calculating the spectrum data of each plant light source, and obtaining the light formula design of the plant light sources. And generating a spectrum superposition calculation table, extracting comprehensive spectrum data, calculating spectrum deviation according to the target spectrum data, and correcting the comprehensive spectrum data so as to generate a matched plant light source formula. The accuracy of spectrum design is effectively improved, the actual spectrum of the lamp can be accurately predicted, the difference between the actual spectrum and the target spectrum can be evaluated, the research and development time and cost are saved, and repeated sample verification is avoided.

Description

Technical Field

[0001] The present application relates to the field of plant growth regulation, and in particular to a light formula design method, device, medium, program product and terminal for a plant light source. Background Art

[0002] With the widespread application of LED technology and the gradual reduction of its cost, new LED light sources are gradually replacing traditional light sources such as high-pressure sodium lamps, incandescent lamps and fluorescent lamps with their significant advantages such as high efficiency, environmental protection, long life, controllable spectrum and convenient secondary light control. The advantages of LED lighting have greatly improved the controllability of agricultural lighting, met the needs of modern agricultural factory production, become an inevitable trend in the development of agricultural lighting, and brought significant economic benefits to agricultural production.

[0003] LED light sources, due to their low starting voltage, DC input and diverse spectral characteristics, provide more complex and diverse solution designs compared to traditional plant lighting. Different plants and the same plant at different growth stages have different requirements for spectrum, so LED lighting solutions often require the mixed use of multiple spectra, which requires rich adjustability and intelligent design in plant lighting applications.

[0004] However, with the increasing application of LED in plant lighting, the importance of early light formula design evaluation has become increasingly prominent, but in existing technologies, there is often a large deviation between the early design and the actual effect, mainly due to the diversity of LED plant lighting solutions and their error factors. This deviation not only affects the accuracy of key parameters such as photosynthetically active radiation flux (PPF), photosynthetically active radiation flux efficiency (PPE) and spectral distribution, but also makes the later solution correction work complicated. Summary of the invention

[0005] In view of the shortcomings of the prior art mentioned above, the purpose of the present application is to provide a light formula design method, device, medium, program product and terminal for a plant light source, so as to solve the problem in the prior art that there is a large deviation between the early light formula design and the actual effect, resulting in insufficient calculation accuracy and complicated subsequent solution correction work.

[0006] To achieve the above-mentioned purpose and other related purposes, the first aspect of the present application provides a method for designing a light formula for a plant light source, the method comprising: constructing a light source database set and a spectrum design calculation table based on multiple plant light source data; obtaining light source formula requirements, and extracting light source characteristic data of multiple plant light sources from the light source database set according to the light source formula requirements; calculating the light source performance parameters of each plant light source according to the spectrum design calculation table and the light source characteristic data; obtaining the spectrum data of each plant light source from the spectrum design calculation table based on the light source performance parameters of each plant light source; generating a spectrum superposition calculation table based on the spectrum data of multiple plant light sources, and extracting the comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table; performing a spectrum deviation calculation operation on the comprehensive spectrum data according to the target spectrum data to generate a spectrum deviation, and performing a correction operation on the comprehensive spectrum data based on the spectrum deviation to generate a plant light source formula that matches the light source formula requirements.

[0007] In some embodiments of the first aspect of the present application, the process of generating a spectral superposition calculation table based on the spectral data of multiple plant light sources includes: generating a spectral superposition calculation sub-table for each plant light source respectively; the spectral superposition calculation sub-table contains the light radiation intensity value of each plant light source at different wavelengths; wherein the rows of the spectral superposition calculation sub-table represent a specific wavelength range, and the columns represent the absolute light radiation intensity values ​​corresponding to the wavelengths within the preset range; through the spectral superposition calculation sub-table, the comprehensive spectral data of all plant light sources are generated after superposition calculation.

[0008] In some embodiments of the first aspect of the present application, the process of performing a spectral deviation calculation operation on the comprehensive spectral data according to the target spectral data includes: based on isoenergetic spectroscopy, performing quantitative analysis on the target spectral data and the comprehensive spectral data to generate a spectral deviation.

[0009] In some embodiments of the first aspect of the present application, the light source database set includes: a light source photometric database, including the voltage value, luminous flux value, radiation power and negative pin temperature corresponding to each plant light source under different current stable states at a preset temperature; a spectral database, including spectral data corresponding to each plant light source under different currents; a temperature rise attenuation database, including the light attenuation data corresponding to each plant light source at different temperatures; a wavelength correction database, including the wavelength offset corresponding to each plant light source at different temperatures.

[0010] In some embodiments of the first aspect of the present application, the light source characteristic data includes: light source photometric parameter information, original spectrum information, temperature-corrected spectrum data, and wavelength-corrected spectrum data.

[0011] In some embodiments of the first aspect of the present application, the light source performance parameters include: PPF, PPE, luminous flux, and a conversion coefficient between luminous flux and PPF.

[0012] To achieve the above-mentioned purpose and other related purposes, the second aspect of the present application provides a light formula design device for a plant light source, including: a data acquisition module; used to construct a light source database set and a spectrum design calculation table based on multiple plant light source data; obtain light source formula requirements, and extract light source characteristic data of multiple plant light sources from the light source database set according to the light source formula requirements; a spectrum calculation module: used to calculate the light source performance parameters of each plant light source according to the spectrum design calculation table and the light source characteristic data; based on the light source performance parameters of each plant light source, obtain the spectrum data of each plant light source from the spectrum design calculation table; generate a spectrum superposition calculation table based on the spectrum data of multiple plant light sources, and extract the comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table; a deviation correction module: used to perform a spectrum deviation calculation operation on the comprehensive spectrum data according to the target spectrum data to generate a spectrum deviation, and perform a correction operation on the comprehensive spectrum data based on the spectrum deviation to generate a plant light source formula that matches the light source formula requirements.

[0013] To achieve the above-mentioned purpose and other related purposes, the third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the light formula design method of the plant light source is implemented.

[0014] To achieve the above-mentioned purpose and other related purposes, the fourth aspect of the present application provides a computer program product, which includes a computer program code. When the computer program code is run on a computer, the computer implements the light formula design method of the plant light source.

[0015] To achieve the above-mentioned purpose and other related purposes, the fifth aspect of the present application provides an electronic terminal, including a memory, a processor and a computer program stored in the memory; the processor executes the computer program to implement the light formula design method of the plant light source.

[0016] As described above, the light formula design method, device, medium, program product and terminal of the plant light source of the present application have the following beneficial effects: The present invention is based on the establishment of a light source database, takes the calculation of botanical parameters as a theoretical basis, and integrates the methods of wavelength correction and temperature rise attenuation correction. Through these means, the actual spectrum of the lamp can be accurately predicted, and the difference with the target spectrum can be evaluated, thereby improving the accuracy of the spectrum design, effectively avoiding repeated sample verification, and saving R&D time and cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart showing an embodiment of a method for designing a light recipe for a plant light source of the present application is shown.

[0018] Figure 2 The light source photometric database in one embodiment of the light recipe design method for plant light sources of the present application is shown.

[0019] Figure 3 A curve showing the relationship between current and voltage in a plant light source in an embodiment of a light recipe design method for a plant light source of the present application is shown.

[0020] Figure 4 The graph shows the relationship between the electric power and the luminous flux in the plant light source in the first embodiment of the light formula design method for the plant light source of the present application.

[0021] Figure 5 A curve showing the relationship between current and radiation power in a plant light source in an embodiment of a light recipe design method for a plant light source of the present application is shown.

[0022] Figure 6 The graph shows the relationship between the actual power of the plant light source and the pin temperature Ts in the first embodiment of the light formula design method of the plant light source of the present application.

[0023] Figure 7 The spectral data of the wavelength of 380-780nm corresponding to the 30ma test current in the first embodiment of the light formula design method of the plant light source of the present application is shown. (Partial screenshot)

[0024] Figure 8 The spectral data of the wavelength of 380-780nm corresponding to the 60ma test current in the first embodiment of the light formula design method of the plant light source of the present application is shown. (Partial screenshot)

[0025] Fig. 9 The spectral data of the wavelength of 380-780nm corresponding to the 90ma test current in the first embodiment of the light formula design method for plant light sources of the present application are shown. (Partial screenshot)

[0026] Fig.10 The spectral data of the wavelength of 380-780nm corresponding to the 120ma test current in the first embodiment of the light formula design method for plant light sources of the present application is shown. (Partial screenshot)

[0027] Fig.11 The spectral data of the wavelength of 380-780nm corresponding to the 150ma test current in the first embodiment of the light formula design method for plant light sources of the present application are shown. (Partial screenshot)

[0028] Fig.12The spectral data of the wavelength of 380-780nm corresponding to the 180ma test current in the first embodiment of the light formula design method for plant light sources of the present application are shown. (Partial screenshot)

[0029] Fig.13 The temperature rise attenuation database in an embodiment of the light recipe design method for a plant light source of the present application is shown.

[0030] Fig.14 The wavelength correction database in one embodiment of the light recipe design method for plant light sources of the present application is shown.

[0031] Fig.15 A conversion coefficient calculation table in an embodiment of a light recipe design method for a plant light source of the present application is shown.

[0032] Fig.16 The spectrum superposition calculation table in the first embodiment of the light formula design method of the plant light source of the present application is provided.

[0033] Fig.17 The light radiation intensity distribution diagrams of four corresponding spectra in an embodiment of the light recipe design method for a plant light source of the present application are shown.

[0034] Fig.18 The target spectrum of the customized plant lamp in the first embodiment of the light recipe design method of the plant light source of the present application is shown.

[0035] Fig.19 The sample light formula calculation data and spectrum superposition table a in the first embodiment of the light formula design method of the plant light source of the present application are shown.

[0036] Fig. 20 Table b shows sample light formula calculation data and spectrum overlay in an embodiment of a light formula design method for a plant light source of the present application.

[0037] Fig.21 A spectrum superposition calculation table in another embodiment of the light recipe design method for a plant light source of the present application is shown.

[0038] Fig. 22 A light radiation intensity distribution diagram of four corresponding spectra in another embodiment of the light recipe design method for a plant light source of the present application is shown.

[0039] Fig.23 The sample lamp test results in an embodiment of the light recipe design method for plant light sources of the present application are shown.

[0040] Fig.24 A test plant light spectrum diagram in an embodiment of a light recipe design method for a plant light source of the present application is shown.

[0041] Fig.25The test plant light spectrum data in the first embodiment of the light recipe design method of the plant light source of the present application is shown.

[0042] Fig.26 A structural schematic diagram of an embodiment of a light recipe design device for a plant light source of the present application is shown.

[0043] Fig. 27 A structural schematic diagram of an embodiment of a light recipe design terminal for a plant light source of the present application is shown. DETAILED DESCRIPTION

[0044] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0045] Before further describing the present invention in detail, the nouns and terms involved in the embodiments of the present invention are explained. The nouns and terms involved in the embodiments of the present invention are applicable to the following interpretations:

[0046] <1> Plant light source light formula: refers to the spectrum combination emitted by lamps used for plant growth. Different plants have different requirements for spectral components at different growth stages, so light formulas are used to optimize lighting and promote plant growth.

[0047] <2> Isoenergetic spectroscopy: A method for quantitatively comparing the differences between two spectra, designed to ensure that the spectral energy differences are excluded and only the magnitude of the spectral distribution deviation is considered.

[0048] <3> Light Source Photometric Database: A database containing a large number of light source spectral distributions, light source characteristics, and performance parameters. This database allows researchers and engineers to select light sources suitable for specific applications.

[0049] <4> Spectral database: stores the spectral data corresponding to commonly used light sources at different currents.

[0050] <5> Temperature rise attenuation database: records the optical performance attenuation values ​​of the light source at different ambient temperatures at specific currents to evaluate its thermal performance and thermal stability.

[0051] <6> Wavelength correction database: used to correct the phase deviation between the spectrum obtained in the final stable state of the scheme and the wavelength in the spectrum database.

[0052] <7> PPF: refers to the number of photosynthetically active photons (400-700 nanometer wavelength range) that irradiate plants per unit time, usually measured in micromoles per second (μmol / s).

[0053] <8> PPE: refers to the efficiency of converting each watt of electrical power into the number of photosynthetically effective photons for plants, and is usually used to evaluate the energy efficiency of plant lamps.

[0054] <9> Luminous flux: The total light energy emitted by a light source, usually measured in lumens (lm), which indicates the amount of visible light emitted by the light source in the entire space.

[0055] <10> Conversion coefficient: the ratio of the number of photosynthetically active photons to the luminous flux, whose value is only related to the spectral distribution.

[0056] To facilitate understanding of the embodiments of the present application, first Figure 1 Detailed description. Figure 1 The flowchart of a light formula design method for a plant light source in an embodiment of the present invention is shown. The light formula design method for a plant light source in this embodiment mainly includes the following steps:

[0057] Step S11: constructing a light source database set and a spectrum design calculation table based on various plant light source data.

[0058] In one embodiment of the present invention, the light source database set includes: a light source photometric database, including the voltage value, luminous flux radiation power and negative pin temperature corresponding to each plant light source at different currents at a preset temperature; a spectral database, including spectral data corresponding to each plant light source at different currents; a temperature rise attenuation database, including the light attenuation data corresponding to each plant light source at different temperatures; a wavelength correction database, including the wavelength offset corresponding to each plant light source at different temperatures.

[0059] Figure 2 A schematic diagram of a light source photometric database in an embodiment of the present invention is shown, including the calculation interface of the voltage value, luminous flux, radiant power Φe and corresponding temperature corresponding to each plant light source at different currents. The first row represents: forward current IF (mA), forward voltage VF (V), line loss voltage (V), actual power (mW), luminous flux (lm), luminous efficiency (lm / W), conversion coefficient, PPF, PPE, radiant power Φe, energy efficiency and light source cathode pin temperature Ts (℃). Figure 3 The relationship curve between current and voltage in this plant light source is shown. Figure 4 The relationship curve between electric power and luminous flux in this plant light source is shown. Figure 5 The curve showing the relationship between current and radiation power in this plant light source. Figure 6The relationship curve between the actual power of the plant light source and the pin temperature Ts is shown.

[0060] Figures 7 to 12 The schematic diagram of the spectrum database in one embodiment of the present invention is shown, which respectively shows the spectrum data of the wavelength of 380-780nm when the test current is 30ma, 60ma, 90ma, 120ma, 150ma, and 180ma (only part of the spectrum data is intercepted).

[0061] Fig.13 The schematic diagram of the temperature rise attenuation database in one embodiment of the present invention is shown. The light attenuation data calculation interface corresponding to the light source at different temperatures is shown. The initial temperature is 35°C and the final temperature is 95°C. The relative light output corresponding to the initial temperature is 0.98, and the relative light output corresponding to the final temperature is 0.84. The temperature attenuation value during the temperature change process is 0.861.

[0062] It should be noted that wavelength shift correction is crucial in optical experiments and applications. The spectral distribution of the light source is affected by current and temperature changes. For example, when the temperature of 660nm red light rises, the peak wavelength shifts toward the long-wave direction, which may lead to inaccurate calculation of the steady-state spectrum and affect the reliability of subsequent analysis and application. To ensure the accuracy of the scheme evaluation, the wavelength shift caused by temperature needs to be corrected. During the calibration process, the offset caused by current has been calibrated in the spectral database, while the temperature offset needs to be adjusted through the wavelength correction database. The corrected spectral data will reduce the error caused by the wavelength offset.

[0063] Fig.14 A schematic diagram of a wavelength correction database in an embodiment of the present invention is shown. The figure shows the wavelength offset calculation interface of the light source at different temperatures. The initial temperature is 35°C and the final temperature is 95°C. The wavelength offset corresponding to the initial temperature is 1.2, and the wavelength offset corresponding to the final temperature is 8.9. The corresponding wavelength correction value during the temperature change process is 8.7nm. The test wavelength offset in the figure covers a range of -39.81°C to 120.02°C, and the corresponding wavelength offset range is -8.1nm to 12.4nm.

[0064] Step S12: obtaining light source formula requirements, and extracting light source characteristic data of multiple plant light sources from the light source database according to the light source formula requirements.

[0065] In one embodiment of the present invention, the light source characteristic data includes: light source photometric parameter information, original spectrum information, temperature-corrected spectrum data, and wavelength-corrected spectrum data.

[0066] In one embodiment of the present invention, the light source formula requirement refers to the specific requirements of the light source characteristics and configuration required in a specific environment or for a specific purpose. These requirements usually include parameters such as spectral distribution, PPF, PPE, PPFD, red-to-blue ratio, etc. Because different plants have different requirements for the spectrum. For example, some plants require a higher proportion of blue light during the growth stage, and prefer red light during the flowering stage. Through these requirements, researchers and horticulturists can customize the appropriate light source configuration according to the characteristics of the plants to promote their growth and development.

[0067] Step S13: Calculate the light source performance parameters of each plant light source according to the spectrum design calculation table and the light source characteristic data.

[0068] In an embodiment of the present invention, the light source performance parameters include: PPF, PPE, luminous flux, and a conversion coefficient between luminous flux and PPF.

[0069] In one embodiment of the present invention, the spectrum design calculation table is based on botanical theory and a calculation table is established using a spectrum interval of 1 nm. Fig.15 The conversion coefficient calculation table is shown, which includes the calculation process of PPF. The calculation method of PPF is shown in Formula 1.

[0070]

[0071] The unit of PPF is μmol / s. Φe(λ) represents the change of radiation intensity with wavelength, λ represents wavelength, h represents Planck constant, c represents speed of light, N A Represents Avogadro's constant. Numerical representation: h = 6.62607015x10-34 J.S, C = 299792458 m / s, N A =6.02214076x1023.

[0072] Furthermore, the calculation method of PPE is shown in Formula 2.

[0073]

[0074] The formula of PPE is μmol / J, W 电 Indicates the AC output power of the entire lamp.

[0075] In an embodiment of the present invention, the calculation method of the luminous flux is shown in Formula 3.

[0076]

[0077] Where V(λ) represents the photopic vision weighting coefficient, K m Represents the pre-factor, K m=683lm / W. Considering the variation of radiation intensity with wavelength Φ e (λ) has no functional expression and cannot be integrated. It is generally approximated by cumulative summation. Δλ represents the wavelength interval. That is, the expression is shown in Formula 4.

[0078]

[0079] According to the above calculation principle, photosynthetic photon flux (PPF) and luminous flux are both related to the change of radiation intensity with wavelength (Φ e (λ)). Therefore, when the spectral distribution (Φ e Once the luminous flux and PPF are determined, the conversion coefficient between luminous flux and PPF will also be determined. Therefore, the luminous flux, PPF and its conversion coefficient K under a specific spectrum can be calculated by the above formula, as shown in Formula 5.

[0080]

[0081] like Fig.15 The conversion coefficient calculation table shown shows that when the spectral PPF is 1.914μmol / s and the spectral luminous flux is 120.01lm, the conversion coefficient K is 0.015948784. Among them, the PPF blue light in the spectral PPF is 0.327μmol / s, the PPF green light is 0.756μmol / s, and the PPF red light is 0.831μmol / s. Among them, the conversion coefficient K is used to express the conversion relationship between luminous flux and the number of photosynthetically active photons, which describes the effectiveness of the light source in converting light energy into photosynthetic light energy that can be used by plants.

[0082] Step S14: based on the light source performance parameters of each plant light source, obtaining the spectrum data of each plant light source from the spectrum design calculation table.

[0083] In one embodiment of the present invention, the process of obtaining the spectral data of each plant light source from the spectral design calculation table also includes: estimating the parameter values ​​that have not been measured in the spectral database by constructing a simulation equation. Specifically, if the spectral database has not yet measured the current spectral data of the required scheme, the required data is inferred by multiplying the measured current spectral data by a proportional coefficient. The proportional coefficient is determined by the ratio between the radiant power of the light source under the measured current and the radiant power under the target scheme current. For example, when the test current is 60mA, the radiant power is 57.98mW; and when it is 90mA, the radiant power is 87.37mW. When the current interval is small, the current and the radiant power are approximately linearly related, and a linear equation can be established to obtain the corresponding radiant power of 70.72mW at a current of 73mA. Since the current of 73mA is closer to 60mA, the spectral data of 60mA can be multiplied by the ratio of the radiant powers of the two to obtain the spectral data corresponding to 73mA.

[0084] Step S15: generating a spectrum superposition calculation table based on the spectrum data of the various plant light sources, and extracting comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table.

[0085] In one embodiment of the present invention, the process of generating a spectral superposition calculation table based on the spectral data of multiple plant light sources includes: generating a spectral superposition calculation sub-table for each plant light source respectively; the spectral superposition calculation sub-table contains the light radiation intensity value of each plant light source at different wavelengths; wherein the rows of the spectral superposition calculation sub-table represent a specific wavelength range, and the columns represent the absolute light radiation intensity values ​​corresponding to the wavelengths within the preset range; through the spectral superposition calculation sub-table, the comprehensive spectral data of all plant light sources are generated after superposition calculation.

[0086] In one embodiment of the present invention, for plant lamps, a variety of LED light sources are usually combined in the plant light source formula to achieve an ideal spectral distribution. The superposition of different spectra follows the principle of geometric linear superposition. For example, the spectrum Φ e,a (λ), Φ e,b (λ), Φ e,c (λ), the corresponding numbers used are a, b, and c respectively, and the mixed spectrum is shown in Formula 6.

[0087] Φ e,d (λ)=a*Φ e,a (λ)+b*Φ e,b (λ)+c*Φ e,c (λ) (Formula 6)

[0088] In one embodiment of the present invention, four spectral combinations can meet the optical design requirements of most plant lamps. If there is a more complex spectral solution requirement, data columns can be flexibly added to represent additional spectral combinations based on the linear superposition principle. This method not only improves the flexibility of the design, but also can more accurately meet the growth requirements of different plants. The superposition calculation table in this embodiment is as follows: Fig.16 , Fig.17 The light radiation intensity distribution diagrams of the four corresponding spectra are shown. Spectrum A uses 42 lamp beads, and spectrum A has obvious continuity, indicating that the spectrum has high versatility in plant photosynthesis. Spectrum B uses 15 lamp beads, and spectrum B has a significant peak at 450nm, indicating that the intensity of the light source in the blue light area is very high. Spectrum C uses 5 lamp beads, with a significant peak at 660nm, indicating that the intensity of the light source in the red light area is very high. Spectrum D uses 2 lamp beads, and one peak is located at around 730nm. The PPF of its superimposed spectrum is 93, the spectral luminous flux is 5166, and the conversion coefficient K is 0.01793.

[0089] Fig.18 The target spectrum of a customized plant lamp in one embodiment of the present invention is shown. The customized plant lamp has a whole lamp power of 20W, a power efficiency of 0.9, a DC voltage range of about 90V, and a PPE of more than 1.8μmol / J. The above parameters are brought into the calculation table, and the following calculation steps are performed: First, an overall analysis is performed based on the target spectrum to clarify the whole lamp power and power efficiency, so as to derive the required DC power. Next, the current is calculated based on the information, and a suitable light source configuration is selected to meet the voltage requirements. After that, the number of lamp beads of the light source is adjusted, and loss factors such as temperature rise and cavity efficiency are calculated to optimize the spectral data, and the wavelength is adjusted to match the spectrum with the target. In addition, after comprehensive design, the number of light sources is finally confirmed, and the deviation between the spectrum and the target spectrum is minimized, while meeting the preset PPF and PPE requirements. Finally, the sample lamp is tested and compared with the design value, and the spectral deviation is further verified using data tools.

[0090] Figures 19 to 21The calculation data and spectrum superposition table of four sample light formulas in this embodiment are shown. First, fill in the selection and parameters of light source 1, light source 2, light source 3 and light source 4, and obtain a DC power of 18W (20W×0.9). Then, according to the DC power and voltage requirements, the current is preliminarily calculated to be 200mA, of which light source 1 uses 3 light sources connected in series, and the current is about 67mA; light source 2 uses 6 light sources, and the current is about 33mA; light source 3 and light source 4 each select 1 light source. Next, adjust the number of light sources in series to meet the total voltage requirement, calculate the total power of the solution, and complete the light source parameters. In addition, considering the two loss factors of temperature rise and cavity efficiency, the spectral data is sorted. Light source 1 is based on a current of 60mA, multiplied by the proportional coefficient 1.112 to correct it to 67mA; light source 2 is based on 30mA, corrected to 33mA, and the data of light source 3 and light source 4 are directly obtained from the database. The wavelength of the corrected spectrum is adjusted according to the temperature rise. Light source 1 and light source 2 are corrected by 2nm, light source 3 is corrected by 6nm, and light source 4 is corrected by 7nm. New spectrum data is formed and brought into the spectrum superposition calculation table.

[0091] According to the above calculation principle, Fig.21 The spectrum superposition calculation table in this embodiment is shown. Fig. 22 Four light radiation intensity distribution diagrams of corresponding spectra are shown for visual analysis of the spectral characteristics of each type of spectrum. Spectrum A uses 42 lamp beads, and spectrum A has obvious continuity, indicating that the spectrum has high versatility in plant photosynthesis. Spectrum B uses 84 lamp beads. Spectrum C uses 5 lamp beads, with a significant peak at 660nm, indicating that the intensity of the light source in the red light region is very high. Spectrum D uses 3 lamp beads, with a peak at around 730nm. The PPF of its superimposed spectrum is 42.97, the spectral luminous flux is 2746, and the conversion coefficient K is 0.01564721.

[0092] In this embodiment, the number of light sources is adjusted according to the design plan, and the established plan is to use 42 light sources for light source 1, 84 light sources for light source 2, 5 light sources for light source 3, and 3 light sources for light source 4. After design, the deviation between the spectrum and the target spectrum is small, and both PPF and PPE meet the design requirements. Sample lamps are made according to the design plan for verification, and the test results of the sample lamps (such as Fig.23 The design value of PPF is 42.97μmol / s, the measured value is 41.05μmol / s, and the deviation is 4.68%; the design value of PPE is 2.127μmol / J, the measured value is 2.082μmol / J, and the deviation is 2.16%. Finally, the target spectrum is converted into spectral data with a wavelength interval of 1nm using graphic conversion software, and the spectral deviation analysis is performed with the test results. The plant optical test results of this formula are as follows Fig.24 and Fig.25 As shown, Fig.24 The blue line in the figure represents the target spectrum after graphic conversion, and the orange line represents the measured spectrum. Considering that the target spectrum is in the range of 400-780 nm, the final spectrum deviation is 4.02%.

[0093] Step S16: performing a spectral deviation calculation operation on the comprehensive spectral data according to the target spectral data to generate a spectral deviation, and performing a correction operation on the comprehensive spectral data based on the spectral deviation to generate a plant light source formula that matches the light source formula requirement.

[0094] In one embodiment of the present invention, the process of performing a spectral deviation calculation operation on the comprehensive spectral data according to the target spectral data includes: based on isoenergetic spectroscopy, performing quantitative analysis on the target spectral data and the comprehensive spectral data to generate a spectral deviation.

[0095] In one embodiment of the present invention, isoenergetic spectroscopy is used to quantitatively analyze data deviations. After obtaining image information of a known target spectrum, image conversion software is used to convert it into spectral data with a wavelength interval of 1 nm, and then the deviation analysis is performed with the spectrum obtained from the test result. In this process, isoenergetic spectroscopy is used to standardize the radiation power of the target spectrum and the test spectrum to unit 1, and then the difference between the target spectrum and the test spectrum is calculated, and the difference is compared with the total radiation power. The spectral deviation ΔE is shown in Formula 7.

[0096]

[0097] Based on the principle of spectral comparison and quantitative analysis, Φt=∫Φ t (λ)dλ=1whileΦr=∫Φ r (λ)dλ=1.

[0098] Then Formula 7 can be further evolved into Formula 8.

[0099]

[0100] Among them, Φ t (λ) represents the test spectrum distribution, Φ r (λ) represents the target spectral distribution. After completing the above preparations, analyze the target spectrum, select the appropriate light source according to the plant lamp database, determine the light source parameters and losses, organize the selected spectrum data, and perform wavelength and temperature attenuation corrections. Bring the corrected data into the spectrum superposition calculation table, readjust the light source parameters according to the deviation between the calculated spectrum and the target spectrum, and ensure that the spectrum deviation is controlled within 5%. On this basis, calculate the spectrum conversion coefficient, and further calculate the PPF and PPE, so as to finally complete the spectrum design of the plant lamp.

[0101] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" represent examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0102] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can represent: a, b, c, ab, ac, bc or abc, where a, b, c can be single or multiple.

[0103] Fig.26 Schematic diagram of a light formula design device for a plant light source provided in an embodiment of the present application. Fig.26 As shown, the device includes a data acquisition module 2601, a spectrum calculation module 2602 and a deviation correction module 2603.

[0104] The data acquisition module 2601 is used to construct a light source database set and a spectrum design calculation table based on various plant light source data; obtain light source formula requirements, and extract light source characteristic data of various plant light sources from the light source database set according to the light source formula requirements.

[0105] Spectral calculation module 2602: used to calculate the light source performance parameters of each plant light source according to the spectrum design calculation table and the light source characteristic data; based on the light source performance parameters of each plant light source, obtain the spectrum data of each plant light source from the spectrum design calculation table; generate a spectrum superposition calculation table based on the spectrum data of multiple plant light sources, and extract the comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table.

[0106] Deviation correction module 2603: used to perform a spectral deviation calculation operation on the comprehensive spectral data according to the target spectral data to generate a spectral deviation, and perform a correction operation on the comprehensive spectral data based on the spectral deviation to generate a plant light source formula that matches the light source formula requirement.

[0107] It should be understood that the specific process of each module executing the above corresponding steps has been described in detail in the above method embodiment, and for the sake of brevity, it will not be repeated here.

[0108] It should also be understood that the division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0109] Fig. 27 is a schematic block diagram of an electronic terminal provided in an embodiment of the present application. Fig. 27 As shown, the electronic terminal includes: at least one processor 271, a memory 272, at least one network interface 273 and a user interface 275. The various components in the device are coupled together through a bus system 274. It can be understood that the bus system 274 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 274 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Fig. 27 In the specification, various buses are labeled as bus systems.

[0110] The user interface 275 may include a display, a keyboard, a mouse, a trackball, a click gun, keys, buttons, a touch pad or a touch screen.

[0111] It is understood that the memory 272 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM). The memory described in the embodiments of the present invention is intended to include but is not limited to these and any other suitable categories of memory.

[0112] The memory 272 in the embodiment of the present invention is used to store various categories of data to support the operation of the electronic terminal 270. Examples of these data include: any executable program for operating on the electronic terminal 270, such as an operating system 2721 and an application 2722; the operating system 2721 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 2722 may include various applications, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The light formula design method for the plant light source provided in the embodiment of the present invention may be included in the application 2722.

[0113] The method disclosed in the above embodiment of the present invention can be applied to the processor 271, or implemented by the processor 271. The processor 271 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit in the processor 271 or the instruction in the form of software. The above processor 271 can be a general processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 271 can implement or execute the methods, steps and logic block diagrams disclosed in the embodiment of the present invention. The general processor 271 can be a microprocessor or any conventional processor, etc. The steps of the method provided in combination with the embodiment of the present invention can be directly embodied as a hardware decoding processor to perform, or a combination of hardware and software modules in the decoding processor to perform. The software module can be located in a storage medium, which is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0114] In an exemplary embodiment, the electronic terminal 270 may be implemented by one or more application specific integrated circuits (ASIC), DSP, programmable logic device (PLD), complex programmable logic device (CPLD) to execute the aforementioned method.

[0115] According to the method provided in the embodiments of the present application, the present application also provides a computer program product, which includes: computer program code, when the computer program code is run on a computer, the computer executes the light formula design method for a plant light source in any of the embodiments shown above.

[0116] According to the method provided in the embodiments of the present application, the present application also provides a computer-readable storage medium, which stores a program code. When the program code is run on a computer, the computer executes the light formula design method for a plant light source in any of the embodiments shown above.

[0117] The terms "component", "module", "system", etc. used in this specification are used to represent computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program and / or a computer. By way of illustration, both applications running on a computing device and a computing device can be components. One or more components may reside in a process and / or an execution thread, and a component may be located on a computer and / or distributed between two or more computers. In addition, these components may be executed from various computer-readable media having various data structures stored thereon. Components may, for example, communicate through local and / or remote processes according to signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system and / or a network, such as the Internet interacting with other systems through signals).

[0118] Those of ordinary skill in the art will appreciate that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0119] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0120] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0121] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0122] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0123] In the above embodiments, the functions of each functional unit can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When loading and executing computer program instructions (programs) on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, data center, etc. that contains one or more available media integrated. Available media may be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., high-density digital video discs (DVDs), or semiconductor media (e.g., solid state disks (SSDs)).

[0124] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0125] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0126] In summary, the present application provides a method, device, medium, program product and terminal for designing a light formula for a plant light source. The present invention provides a method for improving the efficiency of light formula generation, by establishing a light source database, combining the calculation of botanical parameters, and adopting wavelength correction and temperature rise attenuation correction methods, a spectrum design calculation table is constructed and characteristic data of a variety of plant light sources are extracted, the spectrum data of each plant light source is calculated, a spectrum superposition calculation table is generated, comprehensive spectrum data is extracted, and the spectrum deviation is calculated based on the target spectrum data, and the comprehensive spectrum data is corrected to generate a matching plant light source formula. The accuracy of the spectrum design is effectively improved, and the actual spectrum of the lamp can be accurately predicted, and the difference with the target spectrum can be evaluated, thereby saving R&D time and cost and avoiding repeated sample verification. Therefore, the present application effectively overcomes the various shortcomings in the prior art and has a high industrial utilization value.

[0127] The above embodiments are merely illustrative of the principles and effects of the present application and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A light formula design method for a plant light source, characterized in that: The method comprises: Based on various plant light source data, build a light source database set and spectrum design calculation table; Obtaining light source formula requirements, and extracting light source characteristic data of multiple plant light sources from the light source database according to the light source formula requirements; Calculating the light source performance parameters of each plant light source according to the spectrum design calculation table and the light source characteristic data; Based on the light source performance parameters of each plant light source, obtaining the spectrum data of each plant light source from the spectrum design calculation table; Generate a spectrum superposition calculation table based on the spectrum data of multiple plant light sources, and extract the comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table; A spectral deviation calculation operation is performed on the comprehensive spectral data according to the target spectral data to generate a spectral deviation, and a correction operation is performed on the comprehensive spectral data based on the spectral deviation to generate a plant light source formula that matches the light source formula requirement.

2. The light formula design method for a plant light source according to claim 1, characterized in that: The process of generating a spectrum superposition calculation table based on the spectrum data of multiple plant light sources includes: Generate a spectrum superposition calculation subtable for each plant light source respectively; the spectrum superposition calculation subtable contains the absolute light radiation intensity value of each plant light source at different wavelengths; wherein the rows of the spectrum superposition calculation subtable represent a specific wavelength range, and the columns represent the absolute light radiation intensity value corresponding to the wavelength within the preset range; The spectrum superposition calculation subtable is used to generate comprehensive spectrum data and absolute light radiation intensity values ​​of all plant light sources after superposition calculation.

3. The light formula design method for a plant light source according to claim 1, characterized in that: The process of performing a spectrum deviation calculation operation on the comprehensive spectrum data according to the target spectrum data includes: based on isoenergetic spectroscopy, performing quantitative analysis on the target spectrum data and the comprehensive spectrum data to generate a spectrum deviation.

4. The light formula design method for a plant light source according to claim 1, characterized in that: The light source database set includes: The light source photometric database includes the voltage value, luminous flux value, radiant power and cathode pin temperature corresponding to each plant light source under different current stable states at preset temperatures; Spectral database, including spectral data corresponding to each plant light source at different currents; Temperature rise attenuation database, including the light attenuation data of each plant light source at different temperatures; Wavelength correction database, including the wavelength offset corresponding to each plant light source at different temperatures.

5. The light formula design method for a plant light source according to claim 4, characterized in that: The light source characteristic data includes: light source photometric information, original spectrum information, spectrum data after temperature correction, and spectrum data after wavelength correction.

6. The light formula design method for a plant light source according to claim 4, characterized in that: The light source performance parameters include: PPF, PPE, luminous flux and the conversion factor between luminous flux and PPF.

7. A light formula design device for a plant light source, characterized in that: include: Data acquisition module; Used to build a light source database set and spectrum design calculation table based on various plant light source data; Obtaining light source formula requirements, and extracting light source characteristic data of multiple plant light sources from the light source database according to the light source formula requirements; Spectrum calculation module: used to calculate the light source performance parameters of each plant light source according to the spectrum design calculation table and the light source characteristic data; based on the light source performance parameters of each plant light source, obtain the spectrum data of each plant light source from the spectrum design calculation table; Generate a spectrum superposition calculation table based on the spectrum data of multiple plant light sources, and extract the comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table; Deviation correction module: used to perform spectral deviation calculation operation on the comprehensive spectral data according to the target spectral data to generate a spectral deviation, and perform correction operation on the comprehensive spectral data based on the spectral deviation to generate a plant light source formula that matches the light source formula requirement.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the light recipe design method for a plant light source according to any one of claims 1 to 6 is implemented.

9. A computer program product, characterized in that The computer program product includes computer program codes, and when the computer program codes are executed on a computer, the computer is enabled to implement the light recipe design method for a plant light source according to any one of claims 1 to 6.

10. An electronic terminal comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the light recipe design method for the plant light source according to any one of claims 1 to 6.

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