Spectrum design method and device, electronic equipment and storage medium
By retrieving the LED spectral data from the database and adjusting the excitation chip wavelength and phosphor ratio, the problem of time-consuming and costly traditional LED spectral design is solved, achieving efficient and accurate spectral matching and reducing design costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XUYU OPTOELECTRONICSSHENZHEN CO LTD
- Filing Date
- 2026-02-06
- Publication Date
- 2026-07-31
AI Technical Summary
Traditional LED spectral design methods rely on empirical formulations and repeated sampling tests, which are time-consuming and costly. Furthermore, the spectral simulation software differs greatly from the actual production process, making it difficult to achieve accurate matching.
The spectral data of multiple LEDs are retrieved from the database. Through fitting and adjustment, the excitation chip wavelength, phosphor emission wavelength and ratio corresponding to the target spectrum are determined. The optical power distribution of the spectral data is used for testing to improve the accuracy of the fitted spectrum.
This reduces the number of design verifications, lowers costs, and improves the accuracy of the fitted spectrum, making the fitted spectrum closer to the spectrum of the actual production process.
Smart Images
Figure CN122490972A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of lighting technology, and in particular relates to spectral design methods, devices, electronic devices and storage media. Background Technology
[0002] With the rapid development of light-emitting diode (LED) lighting technology, especially the widespread application of full-spectrum, high color rendering index LEDs in high-end lighting, plant lighting, and medical lighting, the spectral design of LEDs is becoming increasingly important. Traditional LED spectral design methods rely heavily on empirical formulations and repeated prototyping tests, adjusting phosphor ratios and chip combinations through trial and error. This consumes significant time, material, and labor costs and makes it difficult to achieve accurate spectral matching. While spectral simulation software can theoretically calculate the LED spectrum, current software is generally based on theoretical models and parameters of phosphors. These models differ from the phosphor characteristics used in actual manufacturing processes, leading to significant deviations between the fitted spectrum output by the simulation software and the actual LED spectrum. This necessitates multiple verifications, increasing design costs. Summary of the Invention
[0003] In view of this, embodiments of this application provide a spectral design method, apparatus, electronic device, and storage medium, which can improve the accuracy of the output fitted spectrum and reduce design costs.
[0004] A first aspect of this application provides a spectral design method, including:
[0005] Obtain the parameters of the target spectrum; Multiple spectral data of multiple LEDs are retrieved from the database, and the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range. The spectral data is obtained by testing the optical power distribution of the corresponding LED. Obtain the lamp bead parameters corresponding to the multiple spectral data, wherein the lamp bead parameters include the wavelength of the excitation chip and the emission wavelength of the phosphor; Based on the LED bead parameters corresponding to the multiple spectral data, the design parameters corresponding to the target spectrum are determined. The design parameters include the wavelength of the excitation chip, the emission wavelength of the phosphor, and the phosphor ratio for each emission wavelength.
[0006] In one embodiment, the lamp bead parameters also include a driving current corresponding to the spectral data, wherein the driving current corresponding to the plurality of spectral data is the same, and the design parameters also include the driving current.
[0007] In one embodiment, the method further includes: Based on the fitted spectrum, determine one or more of the following: color temperature, color rendering index, luminous efficacy, chromaticity coordinates, the ratio of melanopsin to photopic vision, and photosynthetic quantum efficiency.
[0008] In one embodiment, the method further includes retrieving multiple spectral data of multiple LEDs from a database, and ensuring that the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range: Select multiple candidate spectral data from the database; The multiple candidate spectral data are linearly superimposed to obtain the mixed spectrum corresponding to the multiple candidate spectral data; The candidate spectral data are adjusted according to the mixed spectrum until the difference between the parameters of the mixed spectrum and the parameters of the target spectrum is within a preset range, and the adjusted candidate spectral data are used as the multiple spectral data.
[0009] In one embodiment, selecting multiple candidate spectral data from a database includes: The target spectrum is decomposed to obtain multiple spectral ranges; Based on the wavelength range and peak wavelength of the multiple spectral intervals, matching candidate spectral data are selected from the database.
[0010] In one embodiment, the difference between the parameters of the fitted spectrum and the parameters of the target spectrum is within a preset range, including one or more of the following: the overlap between the fitted spectrum and the target spectrum is greater than a preset overlap, the deviation between the color temperature of the fitted spectrum and the color temperature of the target spectrum is less than a preset deviation, and the deviation between the color rendering index of the fitted spectrum and the color rendering index of the target spectrum is less than a preset deviation.
[0011] In one embodiment, after determining the design parameters corresponding to the target spectrum, the method further includes: Obtain the actual spectrum of the LED with the parameters set to the design parameters; The design parameters are adjusted based on the difference between the actual spectrum and the fitted spectrum.
[0012] A second aspect of this application provides a spectral design apparatus, comprising: The spectrum acquisition module is used to acquire parameters of the target spectrum; The fitting module is used to retrieve multiple spectral data of multiple LEDs from the database, and to ensure that the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range. The spectral data is obtained by testing the optical power distribution of the corresponding LED. The parameter acquisition module is used to acquire the lamp bead parameters corresponding to the multiple spectral data respectively. The lamp bead parameters include the wavelength of the excitation chip and the emission wavelength of the phosphor. The output module is used to determine the design parameters corresponding to the target spectrum based on the lamp bead parameters corresponding to the multiple spectral data. The design parameters include the wavelength of the excitation chip, the emission wavelength of the phosphor, and the ratio of phosphor for each emission wavelength.
[0013] A third aspect of this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the spectral design method as described in the first aspect above.
[0014] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the spectral design method as described in the first aspect above.
[0015] The fifth aspect of this application provides a computer program product that, when run on an electronic device, causes the electronic device to execute the spectral design method described in any one of the first aspects.
[0016] The beneficial effects of this application embodiment compared with the prior art are as follows: Multiple spectral data points from multiple LED chips are retrieved from a database, ensuring that the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data points and the parameters of the target spectrum is within a preset range. Then, based on the wavelengths of the excitation chips and the emission wavelengths of the phosphors corresponding to the multiple spectral data points, the wavelength of the excitation chip, the emission wavelength of the phosphor, and the phosphor ratio for each emission wavelength corresponding to the target spectrum are determined. Since the spectral data is obtained by testing the light power distribution of the LED chips, and the spectral data of the LED chips is obtained by exciting phosphors of a specific wavelength with a chip of a specific excitation wavelength, reflecting the spectral data corresponding to the actual production process, the fitted spectrum can be made closer to the spectrum corresponding to the actual production process, improving the accuracy of the fitted spectrum, thereby reducing the number of subsequent verification steps and lowering design costs. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.
[0018] Figure 1 This is a schematic diagram illustrating the implementation flow of a spectral design method provided in an embodiment of this application; Figure 2 This is a schematic diagram of a fitted spectrum provided in an embodiment of this application; Figure 3 This is a schematic diagram of the fitted spectrum provided in another embodiment of this application; Figure 4 This is a schematic diagram of a spectral design device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation
[0019] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0020] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.
[0021] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.
[0022] It should also be further understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.
[0023] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrases "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."
[0024] The spectral design method provided in this application is illustrated below.
[0025] Please see the appendix Figure 1 The spectral design method provided in one embodiment of this application includes S101 to S104.
[0026] S101: Obtain the parameters of the target spectrum.
[0027] Specifically, the target spectrum can be the theoretical spectrum of the LED to be designed. The parameters of the target spectrum can be the optical power corresponding to each wavelength within a preset band range, or it can be a spectrum diagram, or it can be the optical parameters of the target spectrum such as color temperature, color rendering index, color coordinates, red-blue ratio, etc.
[0028] S102: Retrieve multiple spectral data from multiple LEDs from the database, and ensure that the difference between the fitted spectrum obtained by fitting the multiple spectral data and the target spectrum is within a preset range. The spectral data is obtained by testing the optical power distribution of the corresponding LED.
[0029] Specifically, the optical power distribution data of different LED chips is obtained in advance, and a database is constructed based on the optical power distribution data.
[0030] For example, different wavelength excitation chips are selected (e.g., 380nm ultraviolet chip, 420nm violet chip, 450nm blue chip, 460nm blue chip). For each wavelength excitation chip, phosphors of different emission wavelengths are used for encapsulation, resulting in multiple LED samples, each LED sample being a single LED chip. Each LED sample is a single-wavelength excitation chip, and each LED sample can contain phosphors of one emission wavelength or multiple emission wavelengths. For example, if certain emission wavelength phosphors cannot be excited by the excitation chip of a particular wavelength, then phosphors of another emission wavelength are selected to indirectly excite the phosphors of that emission wavelength. For instance, a 380nm chip first excites a 450nm blue phosphor, and the emitted blue light then indirectly excites an 850nm infrared phosphor. Each LED sample is tested to obtain the optical power distribution data for each LED sample. The optical power distribution data is normalized to obtain the spectral data corresponding to each LED sample, which represents the correspondence between wavelength and optical power.
[0031] In one embodiment, multiple candidate spectral data points for multiple LED chips are selected from a database, with each candidate spectral data point corresponding to one LED chip. These candidate spectral data points are then linearly superimposed to obtain a mixed spectrum. Specifically, the optical power of the same wavelength is superimposed according to wavelength to obtain the optical power of each superimposed wavelength; the correspondence between wavelength and optical power constitutes the mixed spectrum. An optimization algorithm (e.g., genetic algorithm or particle swarm optimization algorithm) is used to adjust the multiple candidate spectral data points based on the differences between the parameters of the mixed spectrum and the target spectrum until the differences between the parameters of the mixed spectrum and the target spectrum are within a preset range. This mixed spectrum is the fitted spectrum. Using the adjusted multiple candidate spectral data points as multiple spectral data points improves computational efficiency and accuracy.
[0032] Adjusting multiple candidate spectral data can involve adjusting the number of each candidate spectral data point, or increasing or decreasing the number of candidate spectral data points. The difference between the parameters of the mixed spectrum and the target spectrum within a preset range can be one or more of the following: the overlap between the fitted spectrum and the target spectrum is greater than a preset overlap (e.g., 95%), the deviation between the color temperature of the fitted spectrum and the color temperature of the target spectrum is less than a preset deviation (e.g., 3%), and the deviation between the color rendering index (CRI) of the fitted spectrum and the CRI of the target spectrum is less than a preset deviation (e.g., 2%). Multi-objective optimization using features such as color temperature, CRI, and overlap can improve the accuracy of spectral matching and the reliability of spectral design.
[0033] The database can be stored on the electronic device or on a server connected to the electronic device. Users can import target spectra through input operations on the electronic device's display interface. The electronic device then retrieves the spectral data of the LED beads from the database to perform spectral fitting based on the target spectrum. The electronic device can also add spectral data to the database based on user-inputted spectral data and additional spectral data input operations, thereby expanding the applicable scenarios for spectral fitting and meeting the needs of different users.
[0034] In one embodiment, after obtaining the target spectrum, it can be decomposed into multiple spectral intervals. Based on the wavelength range and peak wavelength of these intervals, matching candidate spectral data can be selected from a database. For example, after obtaining multiple spectral intervals, the wavelength of the excitation chip can be determined based on these intervals. Then, spectral data with matching peak wavelengths can be selected from the spectral data corresponding to the wavelength of the excitation chip. The selected spectral data can be used as candidate spectral data, thereby reducing the number of iterations in the calculation process and improving computational efficiency.
[0035] For example, such as Figure 2As shown, based on the target spectrum, the wavelength of the excitation chip is determined to be 460 nm. Based on the peak wavelength, the emission wavelengths of the phosphor are determined to be 495-500 nm, 525-530 nm, 610-615 nm, and 660-670 nm. Then, from the spectral data corresponding to the 460 nm excitation chip, spectral data of phosphors with emission wavelengths of cyan (495-500 nm), green (525-530 nm), orange (610-615 nm), and red (660-670 nm) are selected. By adjusting the quantity of each type of spectral data, a fitted spectrum with a difference from the target spectrum within a preset range is obtained.
[0036] like Figure 3 As shown, based on the target spectrum, the wavelength of the excitation chip is determined to be 415-420nm. Based on the peak wavelength, the emission wavelengths of the phosphor are determined to be 460-470nm, 530-535nm, 600-610nm, and 660-670nm. Then, from the spectral data corresponding to the excitation chip in the wavelength range of 415-420nm, spectral data of blue phosphor (460-470nm), green phosphor (530-535nm), orange phosphor (600-610nm), and phosphor (660-670nm) are selected. By adjusting the quantity of each type of spectral data, a fitted spectrum with a difference from the target spectrum within a preset range is obtained.
[0037] In one embodiment, training samples can be constructed based on spectral data in a database and mixed spectra obtained by linearly superimposing different spectral data. A machine learning model is then trained using machine learning methods based on these training samples to obtain a spectral design model. The spectral design model can output multiple spectral data corresponding to the target spectrum, as well as fitted spectra of these multiple spectral data, based on the target spectrum.
[0038] In another embodiment, multiple spectral data selected by the user can be linearly superimposed to obtain a mixed spectrum corresponding to the multiple spectral data selected by the user.
[0039] S103: Obtain the lamp bead parameters corresponding to the multiple spectral data respectively. The lamp bead parameters include the wavelength of the excitation chip and the emission wavelength of the phosphor.
[0040] Specifically, the spectral data is the data obtained by performing spectral tests on LED samples. Each spectral data in the database is associated with LED parameters. From the database, one can query the wavelength of the excitation chip corresponding to the spectral data and the emission wavelength of the phosphor excited by the excitation chip at that wavelength.
[0041] In one embodiment, the lamp bead parameters include not only the wavelength of the excitation chip and the emission wavelength of the phosphor, but also the driving current. Spectral data for fitting can be selected from each spectral data associated with each driving current to obtain the corresponding fitted spectrum, ensuring that the driving current corresponding to each spectral data is the same. Then, the fitted spectrum with the highest matching degree to the target spectrum is selected from the fitted spectra corresponding to each driving current, thereby improving the accuracy of the spectral design.
[0042] In another embodiment, the spectral data in the database is obtained by performing spectral tests on each LED sample under the same driving current, and any spectral data can be selected from the database for fitting based on the target spectrum.
[0043] In other possible implementations, the LED parameters can also include conditions such as the scene in which the spectral data is measured and the operating temperature. Spectral data corresponding to the application scene or operating temperature corresponding to the target spectrum can be selected for fitting to improve the accuracy of the spectral design.
[0044] S104: Based on the lamp bead parameters corresponding to the multiple spectral data, determine the design parameters corresponding to the target spectrum. The design parameters include the wavelength of the excitation chip, the emission wavelength of the phosphor, and the ratio of phosphor for each emission wavelength.
[0045] Specifically, since each spectral data corresponds to an excitation chip wavelength and at least one phosphor emission wavelength, the design parameters can be obtained by statistically analyzing the excitation chip wavelengths and phosphor emission wavelengths corresponding to multiple spectral data.
[0046] For example, the fitted spectrum is obtained by superimposing five spectral data points. The wavelength of the excitation chip corresponding to each of the five spectral data points is 380 nm, and the emission wavelengths of the phosphors corresponding to the five spectral data points are 420 nm, 466 nm, 610 nm, 660 nm, and 710 nm, respectively. Therefore, the design parameters for the excitation chip are: wavelength 380 nm, number 5, phosphor emission wavelengths of 420 nm, 466 nm, 610 nm, 660 nm, and 710 nm, and the phosphor ratio for each emission wavelength is 1:1:1:1:1.
[0047] In one embodiment, when outputting design parameters, the driving parameters corresponding to each spectral data can also be output, such as driving current, voltage, power and other parameters. According to the driving parameters and design parameters, the LED sample can be designed.
[0048] In one embodiment, when outputting design parameters, parameters such as the excitation chip production model and phosphor production model corresponding to each spectral data can also be output. LED design based on the above parameters can better reproduce the target spectrum.
[0049] In one embodiment, the LED chip parameters also include the light decay characteristics of the excitation chip. These light decay characteristics can be spectral change data obtained from testing the corresponding LED chip, or spectral change data obtained from theoretical calculations. When outputting design parameters, the corresponding light decay characteristics can also be output, thereby providing reference data for LED design.
[0050] In one embodiment, after obtaining the fitted spectrum, one or more of the following parameters are determined based on the fitted spectrum: color temperature, color rendering index (CRI), luminous efficacy, chromaticity coordinates, the ratio of melanops to photopic vision, and photosynthetic quantum efficiency. For example, the chromaticity coordinates are calculated based on the fitted spectrum and the chromaticity coordinate calculation formula, and the color temperature is determined based on the chromaticity coordinates and the chromaticity diagram. The CRI is calculated based on the color temperature and the CIE standard reference light source. The luminous flux is calculated based on the fitted spectrum, and then the luminous efficacy is calculated based on the luminous flux. Subsequently, after generating the LED according to the design parameters, the design parameters can be verified based on the actual light parameters of the LED's spectrum, such as color temperature, CRI, luminous efficacy, chromaticity coordinates, the ratio of melanops to photopic vision, and photosynthetic quantum efficiency.
[0051] In one embodiment, after obtaining the design parameters, the actual spectrum of the LED with the design parameters is acquired, and the design parameters are adjusted according to the difference between the actual spectrum and the fitted spectrum, for example, by adjusting the amount of each type of spectral data, so as to obtain more accurate design parameters.
[0052] In the above embodiments, spectral fitting is performed based on the parameters of the target spectrum before LED design, avoiding blind trial and error and saving material and time costs in LED design. Furthermore, spectral fitting based on actual spectral data obtained from testing the LED chips is closer to actual production processes than spectral fitting based on theoretical data from the excitation chip and phosphor, improving the closeness between the actual and target spectra. Simultaneously determining the color temperature, color rendering index, and luminous efficacy of the fitted spectrum during spectral fitting enhances the intelligence of spectral design. Moreover, the spectral design method provided in this application can fit spectral data across different wavelengths and is applicable to various LED types.
[0053] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0054] Corresponding to the spectral design method described in the above embodiments, Figure 4 A structural block diagram of the spectral design device provided in the embodiments of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.
[0055] like Figure 4As shown, the spectral design device includes a spectral acquisition module 41, a fitting module 42, a parameter acquisition module 43, and an output module 44.
[0056] The spectrum acquisition module 41 is used to acquire parameters of the target spectrum; The fitting module 42 is used to retrieve multiple spectral data of multiple LEDs from the database, so that the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range. The spectral data is obtained by testing the light power distribution of the corresponding LED. The parameter acquisition module 43 is used to acquire the lamp bead parameters corresponding to the multiple spectral data respectively. The lamp bead parameters include the wavelength of the excitation chip and the emission wavelength of the phosphor. The output module 44 is used to determine the design parameters corresponding to the target spectrum based on the lamp bead parameters corresponding to the multiple spectral data. The design parameters include the wavelength of the excitation chip, the emission wavelength of the phosphor, and the ratio of phosphor for each emission wavelength.
[0057] In one embodiment, the lamp bead parameters also include a driving current corresponding to the spectral data, wherein the driving current corresponding to the plurality of spectral data is the same, and the design parameters also include the driving current.
[0058] In one embodiment, the output module 44 is further configured to: Based on the fitted spectrum, determine one or more of the following: color temperature, color rendering index, luminous efficacy, chromaticity coordinates, the ratio of melanopsin to photopic vision, and photosynthetic quantum efficiency.
[0059] In one embodiment, the fitting module 42 is specifically used for: Select multiple candidate spectral data from the database; The multiple candidate spectral data are linearly superimposed to obtain the mixed spectrum corresponding to the multiple candidate spectral data; The candidate spectral data are adjusted according to the mixed spectrum until the difference between the parameters of the mixed spectrum and the parameters of the target spectrum is within a preset range, and the adjusted candidate spectral data are used as the multiple spectral data.
[0060] In one embodiment, the fitting module 42 is specifically used for: The target spectrum is decomposed to obtain multiple spectral ranges; Based on the wavelength range and peak wavelength of the multiple spectral intervals, matching candidate spectral data are selected from the database.
[0061] In one embodiment, the difference between the parameters of the fitted spectrum and the parameters of the target spectrum is within a preset range, including one or more of the following: the overlap between the fitted spectrum and the target spectrum is greater than a preset overlap, the deviation between the color temperature of the fitted spectrum and the color temperature of the target spectrum is less than a preset deviation, and the deviation between the color rendering index of the fitted spectrum and the color rendering index of the target spectrum is less than a preset deviation.
[0062] In one embodiment, the output module 44 is further configured to: Obtain the actual spectrum of the LED with the parameters set to the design parameters; The design parameters are adjusted based on the difference between the actual spectrum and the fitted spectrum.
[0063] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.
[0064] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may be a desktop computer, laptop, handheld computer, or cloud server, etc.
[0065] like Figure 5 As shown, the electronic device of this embodiment includes: a processor 51, a memory 52, and a computer program 53 stored in the memory 52 and executable on the processor 51. When the processor 51 executes the computer program 53, it implements the steps in the above-described spectral design method embodiment, for example... Figure 1 Steps S101 to S104 are shown. Alternatively, when the processor 51 executes the computer program 53, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 4 The functions of the spectrum acquisition module 41 to the output module 44 are shown.
[0066] For example, the computer program 53 may be divided into one or more modules / units, which are stored in the memory 52 and executed by the processor 51 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 53 in the electronic device.
[0067] Those skilled in the art will understand that Figure 5This is merely an example of an electronic device and does not constitute a limitation on the electronic device. It may include more or fewer components than illustrated, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.
[0068] The processor 51 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.
[0069] The memory 52 can be an internal storage unit of the electronic device, such as a hard drive or RAM. The memory 52 can also be an external storage device of the electronic device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 52 can include both internal and external storage units. The memory 52 is used to store the computer program and other programs and data required by the electronic device. The memory 52 can also be used to temporarily store data that has been output or will be output.
[0070] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0071] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0072] In the embodiments provided in this application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings or direct couplings or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.
[0073] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0074] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0075] If an integrated module / unit is implemented as 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, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.
[0076] Those skilled in the art will recognize that the units and algorithm steps of the various examples 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0077] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A method of spectral design, characterized by, include: Obtain the parameters of the target spectrum; Multiple spectral data of multiple LEDs are retrieved from the database, and the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range. The spectral data is obtained by testing the optical power distribution of the corresponding LED. Obtain the lamp bead parameters corresponding to the multiple spectral data, wherein the lamp bead parameters include the wavelength of the excitation chip and the emission wavelength of the phosphor; Based on the LED bead parameters corresponding to the multiple spectral data, the design parameters corresponding to the target spectrum are determined. The design parameters include the wavelength of the excitation chip, the emission wavelength of the phosphor, and the ratio of phosphor for each emission wavelength.
2. The spectral design method according to claim 1, characterized in that, The lamp bead parameters also include the driving current corresponding to the spectral data, and the driving current corresponding to the multiple spectral data is the same. The design parameters also include the driving current.
3. The spectral design method according to claim 1, characterized in that, The method further includes: Based on the fitted spectrum, determine one or more of the following: color temperature, color rendering index, luminous efficacy, chromaticity coordinates, the ratio of melanopsin to photopic vision, and photosynthetic quantum efficiency.
4. The spectral design method according to claim 1, characterized in that, The method further includes retrieving multiple spectral data points from multiple LEDs from a database, and ensuring that the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range. Select multiple candidate spectral data from the database; The multiple candidate spectral data are linearly superimposed to obtain the mixed spectrum corresponding to the multiple candidate spectral data; The candidate spectral data are adjusted according to the mixed spectrum until the difference between the parameters of the mixed spectrum and the parameters of the target spectrum is within a preset range, and the adjusted candidate spectral data are used as the multiple spectral data.
5. The spectral design method according to claim 4, characterized in that, Select multiple candidate spectral data from the database, including: The target spectrum is decomposed to obtain multiple spectral ranges; Based on the wavelength range and peak wavelength of the multiple spectral intervals, matching candidate spectral data are selected from the database.
6. The spectral design method according to claim 1, characterized in that, The difference between the parameters of the fitted spectrum and the parameters of the target spectrum is within a preset range, including one or more of the following: the overlap between the fitted spectrum and the target spectrum is greater than a preset overlap; the deviation between the color temperature of the fitted spectrum and the color temperature of the target spectrum is less than a preset deviation; and the deviation between the color rendering index of the fitted spectrum and the color rendering index of the target spectrum is less than a preset deviation.
7. The spectral design method according to claim 1, characterized in that, After determining the design parameters corresponding to the target spectrum, the method further includes: Obtain the actual spectrum of the LED with the parameters set to the design parameters; The design parameters are adjusted based on the difference between the actual spectrum and the fitted spectrum.
8. A spectral design device, characterized in that, include: The spectrum acquisition module is used to acquire parameters of the target spectrum; The fitting module is used to retrieve multiple spectral data of multiple LEDs from the database, and to ensure that the difference between the parameters of the fitted spectrum obtained by fitting the multiple spectral data and the parameters of the target spectrum is within a preset range. The spectral data is obtained by testing the optical power distribution of the corresponding LED. The parameter acquisition module is used to acquire the lamp bead parameters corresponding to the multiple spectral data respectively. The lamp bead parameters include the wavelength of the excitation chip and the emission wavelength of the phosphor. The output module is used to determine the design parameters corresponding to the target spectrum based on the lamp bead parameters corresponding to the multiple spectral data. The design parameters include the wavelength of the excitation chip, the emission wavelength of the phosphor, and the ratio of phosphor for each emission wavelength.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.