Plant light source light recipe design method, device, medium, program product, and terminal

Abstract

The application provides a plant light source light formula design method, device, medium, program product and terminal, through establishing a light source database, combining calculation of botanical parameters, adopting a wavelength correction and temperature rise attenuation correction method, constructing a light spectrum design calculation table and extracting characteristic data of a plurality of plant light sources, calculating light spectrum data of each plant light source, generating a light spectrum superposition calculation table, extracting comprehensive light spectrum data, and calculating light spectrum deviation according to target light spectrum data, correcting the comprehensive light spectrum data, thereby generating a matched plant light source formula. The accuracy of the light spectrum design is effectively improved, the actual light spectrum of the lamp can be accurately predicted, the difference from the target light spectrum is evaluated, and then 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 method and device for designing a light formula of a plant light source, a medium, a program product and a terminal. BACKGROUND

[0002] With the wide 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 the advantages of high efficiency, environmental protection, long service life, controllable spectrum and easy secondary light control. The advantages of LED lighting greatly improve the controllability of agricultural lighting, meet the needs of modern agricultural factory production, become an inevitable trend of agricultural lighting development, and bring significant economic benefits to agricultural production.

[0003] LED light sources provide more complex and diverse design options compared to traditional plant lighting due to their low starting voltage, direct current input and diverse spectral characteristics. The differences in spectral requirements of different plants and the same plant at different growth stages require the use of multiple spectra in LED lighting solutions, which requires rich adjustability and intelligent design in plant lighting applications.

[0004] However, with the increasing application of LEDs in the field of plant lighting, the importance of early light formula design evaluation has become increasingly prominent. However, in the prior art, 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 error factors. This deviation not only affects the accuracy of key parameters such as photosynthetic active radiation flux (PPF), photosynthetic active radiation flux efficiency (PPE) and spectral distribution, but also leads to complex post-correction work. SUMMARY

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

[0006] To achieve the above object and other related objects, the first aspect of the present application provides a method for designing a light formula of a plant light source, the method comprising: constructing a light source database set and a spectrum design calculation table based on a plurality of plant light source data; obtaining a light source formula requirement and extracting light source characteristic data of a plurality of plant light sources from the light source database set according to the light source formula requirement; calculating a light source performance parameter of each plant light source according to the spectrum design calculation table and the light source characteristic data; obtaining spectrum data of each plant light source from the spectrum design calculation table based on the light source performance parameter of each plant light source; generating a spectrum superposition calculation table based on the spectrum data of the plurality of plant light sources and extracting 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 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 matching the light source formula requirement.

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

[0008] In some embodiments of the first aspect of the present application, the process of performing a spectrum deviation calculation operation on the comprehensive spectrum data according to the target spectrum data comprises: performing quantitative analysis on the target spectrum data and the comprehensive spectrum data based on an equal-energy spectrum method to generate a spectrum deviation.

[0009] In some embodiments of the first aspect of the present application, the light source database set comprises: a light source luminosity database including voltage values, luminous flux values, radiation powers and negative pin temperatures of each plant light source at different current steady states at a preset temperature; a spectrum database including spectrum data of each plant light source corresponding to different currents; a temperature rise attenuation database including light decay data of each plant light source at different temperatures; and a wavelength correction database including wavelength offsets of each plant light source at different temperatures.

[0010] In some embodiments of the first aspect of the present application, the light source characteristic data comprises: light source luminosity 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 parameter comprises PPF, PPE, luminous flux, and a conversion coefficient of luminous flux and PPF.

[0012] To achieve the above object and other related objects, the second aspect of the present application provides a plant light source light formula design device, comprising: a data acquisition module; a light source database set and a spectrum design calculation table are constructed based on a plurality of plant light source data; a light source formula requirement is obtained, and light source characteristic data of a plurality of plant light sources is extracted from the light source database set according to the light source formula requirement; a spectrum calculation module: used for calculating the light source performance parameter of each plant light source according to the spectrum design calculation table and the light source characteristic data; based on the light source performance parameter of each plant light source, the spectrum data of each plant light source is obtained from the spectrum design calculation table; a spectrum superposition calculation table is generated based on the spectrum data of a plurality of plant light sources, and the comprehensive spectrum data after superposition calculation is extracted from the spectrum superposition calculation table; a deviation correction module: used for performing spectrum deviation calculation operation on the comprehensive spectrum data according to the target spectrum data to generate spectrum deviation, and performing correction operation on the comprehensive spectrum data based on the spectrum deviation to generate a plant light source formula matched with the light source formula requirement.

[0013] To achieve the above object and other related objects, the third aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the plant light source light formula design method.

[0014] To achieve the above object and other related objects, the fourth aspect of the present application provides a computer program product, which comprises computer program code, and when the computer program code runs on a computer, the computer program code makes the computer implement the plant light source light formula design method.

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

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

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

[0018] Figure 2 A light source photometric database in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0019] Figure 3 A current vs. voltage curve in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0020] Figure 4 A current vs. voltage curve in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0021] Figure 5 A current vs. voltage curve in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0022] Figure 6 A current vs. voltage curve in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0023] Figure 7 Spectral data for a 30ma test current and a wavelength range of 380-780nm in an embodiment of the light recipe design method of the plant light source of the present application is shown. (Partial screenshot)

[0024] Figure 8 Spectral data for a 60ma test current and a wavelength range of 380-780nm in an embodiment of the light recipe design method of the plant light source of the present application is shown. (Partial screenshot)

[0025] Figure 9 Spectral data for a 90ma test current and a wavelength range of 380-780nm in an embodiment of the light recipe design method of the plant light source of the present application is shown. (Partial screenshot)

[0026] Figure 10 Spectral data for a 120ma test current and a wavelength range of 380-780nm in an embodiment of the light recipe design method of the plant light source of the present application is shown. (Partial screenshot)

[0027] Figure 11 Spectral data for a 150ma test current and a wavelength range of 380-780nm in an embodiment of the light recipe design method of the plant light source of the present application is shown. (Partial screenshot)

[0028] Figure 12The 180ma test current vs wavelength 380-780nm spectral data in an embodiment of the light recipe design method of the plant light source of the present application is shown. (partial screenshot)

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

[0030] Figure 14 The wavelength correction database in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0031] Figure 15 The conversion factor calculation table in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0032] Figure 16 The spectral superposition calculation table in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0033] Figure 17 The light radiation intensity distribution graphs of four corresponding spectra in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0034] Figure 18 The target spectrum of a customized plant light in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0035] Figure 19 The sample light recipe calculation data and spectral superposition table a in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0036] Figure 20 The sample light recipe calculation data and spectral superposition table b in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0037] Figure 21 The spectral superposition calculation table in another embodiment of the light recipe design method of the plant light source of the present application is shown.

[0038] Figure 22 The light radiation intensity distribution graphs of four corresponding spectra in another embodiment of the light recipe design method of the plant light source of the present application is shown.

[0039] Figure 23 The sample light test results in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0040] Figure 24 The test plant light spectrum graph in an embodiment of the light recipe design method of the plant light source of the present application is shown.

[0041] Figure 25The test plant light spectrum data in an embodiment of the light formula design method of the plant light source of the present application is shown.

[0042] Figure 26 The structural schematic diagram of an embodiment of the light formula design device of the plant light source of the present application is shown.

[0043] Figure 27 The structural schematic diagram of an embodiment of the light formula design terminal of the plant light source of the present application is shown. DETAILED DESCRIPTION

[0044] The embodiments of the present application are explained hereinafter by specific examples, and other advantages and effects of the present application can be easily understood by those skilled in the art from the contents disclosed in the present specification. The present application can also be implemented or applied by other different specific embodiments, and the details in the present specification can 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 the present application is further described, the terms and terminology used in the embodiments of the present application are explained, and the terms and terminology used in the embodiments of the present application are applicable to the following explanations:

[0046] <1> Plant light formula: refers to the spectral combination emitted by the lamp for plant growth. Different plants have different requirements for spectral components at different growth stages, and therefore the light formula is used to optimize the light and promote plant growth.

[0047] <2> Equal-energy spectrum method: a method for quantitatively comparing the differences between two spectra, aiming to ensure that the spectral energy difference is excluded and only the size 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. Researchers and engineers can select suitable light sources for specific applications through this database.

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

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

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

[0052] <7>PPF: refers to the number of photosynthetically active photons (400-700 nm wavelength range) that are incident on a plant per unit time, usually expressed in micromoles per second (pmol / s).

[0053] <8>PPE: refers to the number of photosynthetically active photons converted per watt of electrical power, usually used to evaluate the energy efficiency of a plant light.

[0054] <9>luminous flux: the total light energy emitted by a light source, usually expressed in lumens (lm), indicating the amount of visible light emitted by a light source in all directions.

[0055] <10>conversion factor: the ratio of the number of photosynthetically active photons to the luminous flux, which is only related to the spectral distribution.

[0056] In order to facilitate the understanding of the embodiments of the present application, first, the light formula design method of a plant light source in the embodiments of the present application is described in combination with the prior art. Figure 1 The light formula design method of the plant light source in the embodiments of the present application mainly includes the following steps: Figure 1 The flowchart of the light formula design method of a plant light source in the embodiments of the present application is shown. The light formula design method of the plant light source in the embodiments of the present application mainly includes the following steps:

[0057] Step S11: based on a plurality of plant light source data, a light source database set and a spectral design calculation table are constructed.

[0058] In an embodiment of the present application, the light source database set includes: a light source luminosity database including the voltage value, luminous flux radiant power and negative pin temperature of each plant light source corresponding to different currents at a preset temperature; a spectrum database including the spectral data of each plant light source corresponding to different currents; a temperature rise decay database including the light decay data of each plant light source corresponding to different temperatures; and a wavelength correction database including the wavelength offset of each plant light source corresponding to different temperatures.

[0059] Figure 2 The schematic diagram of the light source luminosity database in an embodiment of the present application is shown, which includes the voltage value, luminous flux, radiant power Φe and corresponding temperature calculation interface of each plant light source corresponding to different currents. The first row respectively represents: forward current IF (mA), forward voltage VF (V), off-line loss voltage (V), actual power (mW), luminous flux (lm), light efficiency (lm / W), conversion factor, PPF, PPE, radiant power Φe, energy efficiency and light source negative pin temperature Ts (℃). Figure 3 The relationship curve between current and voltage in the plant light source is shown. Figure 4 The relationship curve between electric power and luminous flux in the plant light source is shown. Figure 5 The relationship curve between current and radiant power in the plant light source is shown. Figure 6The actual power of the plant light source and the relationship curve of the pin temperature Ts are shown.

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

[0061] Figure 13 The schematic diagram of the temperature rise decay database in an embodiment of the present application is shown. The light decay data calculation interface corresponding to the light source at different temperatures is shown. The initial temperature is 35℃ and the final temperature is 95℃. 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 decay value in the temperature change process is 0.861.

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

[0063] Figure 14 The schematic diagram of the wavelength correction database in an embodiment of the present application is shown. The wavelength shift calculation interface of the light source at different temperatures is shown. The initial temperature is 35℃ and the final temperature is 95℃. The wavelength shift corresponding to the initial temperature is 1.2 and the wavelength shift corresponding to the final temperature is 8.9. The wavelength correction value corresponding to the temperature change process is 8.7 nm. The test wavelength shift coverage in the figure is -39.81℃ to 120.02℃, and the corresponding wavelength shift range is -8.1 nm to 12.4 nm.

[0064] Step S12: Obtain the light source formula requirement, and extract the light source characteristic data of a plurality of plant light sources from the light source database set according to the light source formula requirement.

[0065] In an embodiment of the present application, the light source characteristic data includes light source luminosity parameter information, original spectrum information, temperature corrected spectrum data and wavelength corrected spectrum data.

[0066] In an embodiment of the present application, the light source recipe requirements refer to specific requirements of light source characteristics and configurations needed in specific environments or for specific purposes. These requirements usually include parameters such as spectral distribution, PPF, PPE, PPFD, red-to-blue ratio, etc. Because different plants have different requirements for light spectrum. For example, some plants need a higher proportion of blue light during the growth stage, while they prefer red light during the flowering stage. Through these requirements, researchers and gardeners can customize suitable light source configurations according to the characteristics of plants to promote their growth and development.

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

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

[0069] In an embodiment of the present application, the spectral design calculation table is based on botanical theory and uses a spectral interval of 1 nm to establish a calculation table. Figure 15 A 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] Wherein, the unit of PPF is μmol / s. Φe(λ) represents the change of radiant intensity with wavelength, λ represents wavelength, h represents Planck's constant, c represents the speed of light, N A represents Avogadro's constant. The numerical values are: h = 6.62607015 x 10-34 J.S, c = 299792458 m / s, N A = 6.02214076 x 1023.

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

[0073]

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

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

[0076]

[0077] Wherein, V(λ) represents the photopic weighting coefficient, K m represents the pre-coefficient, K m= 683 lm / 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 summation, where Δλ represents the wavelength interval. That is, the expression is shown in Formula 4.

[0078]

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

[0080]

[0081] like Figure 15 The conversion factor calculation table shows that when the spectral PPF is 1.914 μmol / s and the spectral luminous flux is 120.01 lm, the conversion factor K is 0.015948784. Specifically, the spectral PPF includes 0.327 μmol / s for blue light, 0.756 μmol / s for green light, and 0.831 μmol / s for red light. The conversion factor K represents the relationship between luminous flux and the number of photosynthetically active photons, describing the effectiveness of the light source in converting light energy into photosynthetic energy usable by plants.

[0082] Step S14: Based on the light source performance parameters of each plant light source, obtain the spectral data of each plant light source from the spectral design calculation table.

[0083] In an embodiment of the present application, the process of obtaining the spectral data of each plant light source from the spectral design calculation table further comprises: estimating the unmeasured parameter values in the spectral database by constructing an analog equation. Specifically, if the spectral database has not measured the current spectral data of the required scheme, the required data is calculated 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 at the measured current and the radiant power at the target scheme current. For example, the radiant power is 57.98 mW at a test current of 60 mA, and the radiant power is 87.37 mW at 90 mA. In the case of small current intervals, the current and the radiant power are approximately linearly related, and a first-order equation can be established to obtain the corresponding radiant power of 70.72 mW at a current of 73 mA. Since the current of 73 mA is closer to 60 mA, the spectral data corresponding to 73 mA can be obtained by multiplying the spectral data at 60 mA by the ratio of the radiant powers of the two.

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

[0085] In an embodiment of the present application, the process of generating a spectral superposition calculation table based on the spectral data of the plurality of plant light sources comprises: generating a spectral superposition calculation sub-table for each plant light source respectively; the spectral superposition calculation sub-table contains the light radiation intensity values of each plant light source at different wavelengths; wherein the rows of the spectral superposition calculation sub-table represent specific wavelength ranges, and the columns represent the absolute light radiation intensity values corresponding to the wavelengths in the preset range; through the spectral superposition calculation sub-table, the integrated spectral data obtained after superposition calculation of all plant light sources is generated.

[0086] In an embodiment of the present application, for plant lamps, a plurality of LED light sources are usually combined in the plant light source formula to achieve the ideal spectral distribution. The superposition between such different spectra follows the principle of geometric linear superposition. Exemplarily, the spectra Φ e,a (λ), Φ e,b (λ), and Φ e,c (λ) correspond to the number of a, b, and c used 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 an embodiment of the present application, four spectral combinations are used to meet the optical design requirements of most plant lamps. If there is a more complex spectral scheme requirement, additional data columns can be added to represent additional spectral combinations according to the principle of linear superposition. This method not only improves the flexibility of the design, but also more accurately meets the growth needs of different plants. The superposition calculation table in this embodiment is as follows Figure 16 , Figure 17 The corresponding four spectral light intensity distribution diagrams are shown. Spectrum A uses 42 beads, and spectrum A has obvious continuity, indicating that the spectrum has high universality in plant photosynthesis. Spectrum B uses 15 beads, and spectrum B has a significant peak at 450 nm, indicating that the intensity of this light source in the blue light region is very high. Spectrum C uses 5 beads, with a significant peak at 660 nm, indicating that the intensity of this light source in the red light region is very high. Spectrum D uses 2 beads, with a peak at around 730 nm. The PPF of the superimposed spectrum is 93, the spectral luminous flux is 5166, and the conversion coefficient K is 0.01793.

[0089] Figure 18 The target spectrum of a customized plant lamp in an embodiment of the present application is shown. The total lamp power of the customized plant lamp is 20W, the power supply efficiency is 0.9, the DC voltage range is about 90V, and the PPE exceeds 1.8μmol / J. The above parameters are brought into the calculation table, and the following calculation steps are performed: First, the overall analysis is performed according to the target spectrum, the total lamp power and the power supply efficiency are determined, and the required DC power is derived. Next, the current is calculated according to the information, and the appropriate light source configuration is selected to meet the voltage requirement. Then, the number of beads of the light source is adjusted, and the temperature rise and cavity efficiency and other loss factors 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 of the spectrum from 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 four light formula calculation data and spectral superposition table in the embodiment are shown. First, the selection and parameters of light source 1, light source 2, light source 3 and light source 4 are filled in to obtain a direct current power of 18 W (20 W x 0.9). Then, according to the direct current power and voltage requirement, the current is preliminarily calculated as 200 mA, wherein 3 light sources 1 are selected in series and the current is about 67 mA; 6 light sources 2 are selected and the current is about 33 mA; and one light source 3 and one light source 4 are selected. Then, the number of light source series is adjusted to meet the total voltage requirement, and the total power of the scheme is calculated to complete the light source parameters. In addition, the spectral data is arranged considering the two loss factors of temperature rise influence and cavity efficiency. The light source 1 is based on 60 mA current, multiplied by the correction factor 1.112 to 67 mA; the light source 2 is based on 30 mA, corrected to 33 mA, and the data of light source 3 and light source 4 are directly obtained from the database. According to the temperature rise, the wavelength of the corrected spectrum is adjusted, and the light source 1 and the light source 2 are respectively corrected by 2 nm, the light source 3 is corrected by 6 nm, and the light source 4 is corrected by 7 nm, to form new spectral data, which is brought into the spectral superposition calculation table.

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

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

[0093] Step S16: Perform a spectral deviation calculation on the comprehensive spectral data based on 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 requirements of the light source formula.

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

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

[0096]

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

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

[0099]

[0100] Where, Φ t (λ) represents the test spectral distribution, Φ r (λ) represents the target spectral distribution. After completing the above preparations, by analyzing the target spectrum and selecting a suitable light source based on the plant lamp database, the light source parameters and losses are determined. The selected spectral data is then compiled, and wavelength and temperature attenuation corrections are performed. The corrected data is input into the spectral superposition calculation table, and the light source parameters are readjusted based on the deviation between the calculated spectrum and the target spectrum to ensure that the spectral deviation is controlled within 5%. On this basis, the spectral conversion coefficient is calculated, and the PPF and PPE are further calculated, thus finally completing the spectral design of the plant lamp.

[0101] It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" indicate an example, an illustration or a description. Any embodiment or design solution described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of "exemplary" or "for example" is intended to present the relevant concept in a specific manner.

[0102] In the embodiments of the present application, "at least one" means one or more, and "multiple" means two or more. The association relationship of the associated objects is described, which means that there can be three kinds of relationships, for example, A and / or B, which can represent the following three cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the front and rear associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single item or multiple items. For example, at least one of a, b or c can represent a, b, c, a-b, a-c, b-c or a-b-c, where a, b and c can be single or multiple.

[0103] Figure 26 is a schematic block diagram of a light formula design device of a plant light source provided by the embodiments of the present application. As shown in Figure 26 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 a plurality of plant light source data, acquire a light source formula requirement, and extract light source characteristic data of a plurality of plant light sources from the light source database set according to the light source formula requirement.

[0105] The spectrum calculation module 2602 is used to calculate a light source performance parameter of each plant light source according to the spectrum design calculation table and the light source characteristic data, acquire spectrum data of each plant light source from the spectrum design calculation table based on the light source performance parameter of each plant light source, generate a spectrum superposition calculation table based on the spectrum data of a plurality of plant light sources, and extract comprehensive spectrum data after superposition calculation from the spectrum superposition calculation table.

[0106] The deviation correction module 2603 is used to perform a spectrum deviation calculation operation on the comprehensive spectrum data according to 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 matched with the light source formula requirement.

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

[0108] It should also be understood that the division of the modules in the embodiments of the present application is illustrative, and is only a logical functional division. In actual implementation, there can be another division manner. In addition, each functional module in each embodiment of the present application can be integrated in one processor, or can be physically separated, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module.

[0109] Figure 27 is a schematic block diagram of an electronic terminal provided by the embodiments of the present application. As shown in Figure 27 , the electronic terminal includes at least one processor 271, a memory 272, at least one network interface 273, and a user interface 275. Each component in the device is coupled together through a bus system 274. It can be understood that the bus system 274 is used to realize the connection and communication between the components. In addition to including a 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, all kinds of buses are marked as a bus system in Figure 27 .

[0110] The user interface 275 can include a display, a keyboard, a mouse, a trackball, a click gun, a key, a button, a touchpad, or a touch screen, etc.

[0111] It can be 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. The non-volatile memory can be a read-only memory (ROM, Read Only Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), which is used as an external cache. By way of example but not limitation, many forms of RAM can be used, such as static random access memory (SRAM, Static Random Access Memory), synchronous static random access memory (SSRAM, Synchronous Static Random Access Memory). The memory described in the embodiments of the present application is intended to include but not limited to these and any other suitable categories of memory.

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

[0113] The method disclosed in the above embodiment of the present application can be applied to or implemented by the processor 271. The processor 271 can be an integrated circuit chip having a processing capability of signals. In the implementation process, each step of the above method can be completed by an integrated logic circuit or an instruction in the form of software in the processor 271. The processor 271 described above can be a general-purpose processor, a digital signal processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, and the like. The processor 271 can implement or execute the disclosed methods, steps, and logic block diagrams in the embodiments of the present application. The general-purpose processor 271 can be a microprocessor or any conventional processor, and the like. In combination with the steps of the method provided in the embodiments of the present application, the execution can be directly embodied as a hardware decoding processor, or a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the memory. The processor reads the information in the memory and combines the hardware to complete the steps of the above method.

[0114] In the exemplary embodiments, the electronic terminal 270 can be one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), and the like, for executing the above method.

[0115] According to the method provided in the embodiments of the present application, the present application further provides a computer program product, which includes computer program code, when the computer program code is run on a computer, so that the computer executes the method for designing a light formula of a plant light source in any one of the above embodiments.

[0116] According to the method provided by the embodiment of the present application, the present application further provides a computer readable storage medium storing program codes, which, when executed on a computer, cause the computer to perform the light formula design method of the plant light source as shown in any one of the above embodiments.

[0117] The terms "component," "module," "system," and the like as used herein are intended to refer to a computer-related entity, either hardware, software, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. By way of illustration, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and / or thread of execution and a component can be localized, co-resident, and / or distributed among one computer and / or among two or more computers. Also, these components can execute from various computer readable media having various data structures stored thereon. The components can communicate by way of local and / or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and / or across a network such as the Internet with other systems via the signal).

[0118] Those of skill in the art would understand that the various illustrative logical blocks, modules, and steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or combinations of both. The choice of hardware or software implementation would depend on the particular application and general purpose nature of the technical solution. Those skilled in the art would be able to implement the described functionality in varying ways without departing from the scope of the present application.

[0119] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the system, device and unit described above can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0120] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the described device embodiments are merely schematic. For example, the division of the units is only a logical function division. There can be another division manner for the 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. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or in other forms.

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

[0122] In addition, the functional units in the various embodiments of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0123] In the above embodiments, the functions of the functional units can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by 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 the computer program instructions (programs) are loaded and executed on a computer, the whole or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium, or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transferred from one website site, computer, server or data center to another website site, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be magnetic media (such as floppy disk, hard disk, magnetic tape), optical media (such as high-density digital video disc (Digital Video Disc, DVD), or semiconductor media (such as solid state disk (Solid State Disk, SSD), etc.

[0124] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0125] The above merely describes specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0126] In summary, the present application provides a light formula design method, device, medium, program product and terminal of a plant light source, and provides a method for improving the efficiency of generating a light formula. By establishing a light source database, combining the calculation of botanical parameters, using the methods of wavelength correction and temperature rise attenuation correction, constructing a light spectrum design calculation table and extracting characteristic data of a plurality of plant light sources, calculating the light spectrum data of each plant light source, generating a light spectrum superposition calculation table, extracting comprehensive light spectrum data, and calculating the light spectrum deviation according to the target light spectrum data, the comprehensive light spectrum data is corrected, and a matched plant light source formula is generated. The accuracy of the light spectrum design is effectively improved, the actual light spectrum of the lamp can be accurately predicted, the difference with the target spectrum is evaluated, and the development time and cost are saved, and repeated sample verification is avoided. Therefore, the present application effectively overcomes the various shortcomings in the prior art and has high industrial utilization value.

[0127] The above embodiments only exemplarily illustrate the principles and effects of the present application, and are not used to limit the present application. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical idea disclosed by the present application should be covered by the claims of the present application.

Claims

1. A method of light recipe design for a plant light source, characterized in that, The method comprises: Based on a plurality of plant light source data, a light source database set and a spectral design calculation table are constructed; Obtain light source formula requirements, and extract light source characteristic data of a plurality of plant light sources from the light source database set according to the light source formula requirements; According to the spectral design calculation table and the light source characteristic data, the light source performance parameters of each plant light source are calculated; Based on the light source performance parameters of each plant light source, the spectral data of each plant light source is obtained from the spectral design calculation table; Based on the spectral data of a plurality of plant light sources, a spectral superposition calculation table is generated, and the comprehensive spectral data after superposition calculation is extracted from the spectral superposition calculation table; According to the target spectral data, a spectral deviation calculation operation is performed on the comprehensive 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 requirements.

2. The method of light recipe design for a plant light source according to claim 1, wherein, The process of generating a spectral superposition calculation table based on the spectral data of a plurality of plant light sources comprises: Respectively generate a spectral superposition calculation sub-table for each plant light source; the spectral superposition calculation sub-table contains the absolute 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 value corresponding to the wavelength in the preset range; Through the spectral superposition calculation sub-table, the comprehensive spectral data and its absolute light radiation intensity value obtained after superposition calculation of all plant light sources are generated.

3. The method of light recipe design for a plant light source according to claim 1, wherein, The process of performing a spectral deviation calculation operation on the comprehensive spectral data according to the target spectral data comprises: based on the equal-energy spectral method, performing quantitative analysis on the target spectral data and the comprehensive spectral data to generate a spectral deviation.

4. The method of light recipe design for a plant light source according to claim 1, wherein, The light source database set comprises: A light source luminosity database, including the voltage value, luminous flux value, radiant power and negative pin temperature of each plant light source at different current steady states at a preset temperature; A spectral database, including the spectral data corresponding to each plant light source at different currents; A temperature rise attenuation database, including the light decay 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.

5. The method of light recipe design for a plant light source according to claim 4, wherein, The light source characteristic data includes: light source luminosity information, original spectral information, temperature-corrected spectral data, and wavelength-corrected spectral data.

6. The method of light recipe design for a plant light source according to claim 4, wherein, The light source performance parameters include: PPF, PPE, luminous flux, and conversion coefficient of luminous flux and PPF.

7. A plant light source light recipe design apparatus, characterized by, It comprises: A data acquisition module; For constructing a light source database set and a spectral design calculation table based on a plurality of plant light source data; Obtain light source formula requirements, and extract light source characteristic data of a plurality of plant light sources from the light source database set according to the light source formula requirements; A spectral calculation module: for calculating the light source performance parameters of each plant light source according to the spectral design calculation table and the light source characteristic data; based on the light source performance parameters of each plant light source, the spectral data of each plant light source is obtained from the spectral design calculation table; generating a spectral superposition calculation table based on spectral data of a plurality of plant light sources, and extracting integrated spectral data after superposition calculation from the spectral superposition calculation table; a deviation correction module, configured to perform a spectral deviation calculation operation on the integrated spectral data according to target spectral data to generate a spectral deviation, and perform a correction operation on the integrated spectral data based on the spectral deviation to generate a plant light source formula matching the light source formula requirement.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the plant light source formula design method of any one of claims 1 to 6.

9. A computer program product, characterised in that, The computer program product includes computer program code, which, when executed on a computer, causes the computer to implement the plant light source formula design method of any one of claims 1 to 6.

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

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