A multispectral light source parameter optimization method, device, equipment and storage medium

Abstract

The application provides a multispectral light source parameter optimization method and device, equipment and a storage medium, relates to the optical technology field, and a specific implementation scheme is as follows: a region characteristic spectrum of a target illumination area in an illumination environment corresponding to a test light source is acquired, and a light environment demand index corresponding to the target illumination area is acquired; the light environment demand index is referred to, the region characteristic spectrum and a preset multispectral light source characteristic spectrum characteristic are comprehensively considered for spectrum mapping, a target multispectral light source spectrum after corresponding matching of different spectral channels is obtained; and a light source control parameter corresponding to the multispectral light source is determined based on the target multispectral light source spectrum. Through implementation of the application scheme, the illuminated region, the optical characteristics of the light source itself and the user illumination demand are quantitatively analyzed, the three are comprehensively considered for light source spectrum selection, and the multispectral light source is adjusted accordingly, so that the definition, comfort and health of environmental illumination are ensured.

Description

Technical Field

[0001] This application relates to the field of optical technology, and more particularly to the field of light source control technology, applicable to multispectral light source control scenarios. More specifically, this application discloses a method, apparatus, device, and storage medium for optimizing multispectral light source parameters. Background Technology

[0002] Multispectral light sources possess excellent spectral tunability, adapting to diverse user lighting needs in various situations, and have been widely used in practical lighting scenarios. Currently, to create a comfortable and healthy lighting environment, adjustments are typically made to multispectral light sources. However, current technologies often only consider the characteristics of the light source itself during adjustment, without comprehensively considering the optical characteristics of the illuminated area and the user's lighting requirements. This results in low accuracy in light source adjustment and poor ambient lighting effects.

[0003] It is important to note that the techniques described in this section are not necessarily those previously conceived or adopted. Unless otherwise specified, no technique described in this section should be assumed to be prior art simply because it is included in this section. Similarly, unless otherwise specified, the issues mentioned in this section should not be considered to be recognized in any prior art. Summary of the Invention

[0004] The main objective of this application is to provide a method, apparatus, device, and storage medium for optimizing multispectral light source parameters, which can at least solve the problems of low light source adjustment accuracy and poor ambient lighting effect of multispectral light source adjustment schemes provided by related technologies.

[0005] The first aspect of this application provides a method for optimizing multispectral light source parameters, comprising: acquiring the regional characteristic spectrum of a target illumination area under the illumination environment corresponding to a test light source, and acquiring the light environment requirement index corresponding to the target illumination area; mapping the regional characteristic spectrum and a preset multispectral light source characteristic spectrum with reference to the light environment requirement index to obtain a target multispectral light source spectrum; wherein, the multispectral light source characteristic spectrum includes at least one of wavelength, half-width, peak area, and peak position of different spectral channels; the target multispectral light source spectrum includes a spectral set obtained by matching different spectral channels; and determining the light source control parameters corresponding to the multispectral light source based on the target multispectral light source spectrum.

[0006] A second aspect of this application provides a multispectral light source parameter optimization device, comprising: an acquisition module for acquiring the regional characteristic spectrum of a target illumination area under the illumination environment corresponding to a test light source, and acquiring a light environment requirement index corresponding to the target illumination area; a mapping module for mapping the regional characteristic spectrum and a preset multispectral light source characteristic spectrum with reference to the light environment requirement index to obtain a target multispectral light source spectrum; wherein the multispectral light source characteristic spectrum includes at least one of wavelength, half-width, peak area, and peak position of different spectral channels; the target multispectral light source spectrum includes a spectral set obtained by matching different spectral channels; and a determination module for determining light source control parameters corresponding to the multispectral light source based on the target multispectral light source spectrum.

[0007] A third aspect of this application provides an electronic device, including a memory and a processor, wherein the processor is configured to execute a computer program stored in the memory, and when the processor executes the computer program, it implements the steps in the multispectral light source parameter optimization method provided in the first aspect of the embodiments of this application.

[0008] The fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it implements the steps in the multispectral light source parameter optimization method provided in the first aspect of the embodiments of this application.

[0009] As can be seen from the above, according to the multispectral light source parameter optimization method, apparatus, equipment, and storage medium provided in this application, the regional characteristic spectrum of the target illumination area under the illumination environment corresponding to the test light source is obtained, as well as the light environment requirement index corresponding to the target illumination area. Referring to the light environment requirement index, the regional characteristic spectrum and the preset multispectral light source characteristic spectrum are mapped to obtain the target multispectral light source spectrum after corresponding ratios of different spectral channels. Based on the target multispectral light source spectrum, the light source control parameters corresponding to the multispectral light source are determined. Through the implementation of this application, a quantitative analysis of the illuminated area, the optical characteristics of the light source itself, and the user's lighting needs is performed. The light source spectrum is selected by comprehensively considering these three factors, and the multispectral light source is adjusted accordingly, effectively improving the accuracy of light source adjustment and ensuring the clarity, comfort, and health of the environmental lighting.

[0010] It should be understood that the description in this section is not intended to identify key or important features of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0011] The accompanying drawings exemplify embodiments and form part of the specification, working together with the textual description to explain exemplary implementations of the embodiments. The drawings shown are for illustrative purposes only and do not limit the scope of the claims. Throughout the drawings, the same reference numerals refer to similar but not necessarily identical elements.

[0012] Figure 1 This is a schematic diagram of the basic process of a multispectral light source parameter optimization method provided in an embodiment of this application;

[0013] Figure 2 A schematic diagram of a target lighting area provided in an embodiment of this application;

[0014] Figure 3 A schematic diagram of a spectral reflectance curve provided in an embodiment of this application;

[0015] Figure 4 This is a schematic diagram illustrating the principle of spectral optimization in one embodiment of this application;

[0016] Figure 5 This is a schematic diagram illustrating another spectral optimization principle provided in an embodiment of this application;

[0017] Figure 6 A detailed flowchart illustrating a method for optimizing multispectral light source parameters provided in an embodiment of this application;

[0018] Figure 7 A functional module diagram of a multispectral light source parameter optimization device provided in an embodiment of this application;

[0019] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0020] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] In the description of the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of this application, the term "multiple" means two or more, unless otherwise explicitly specified.

[0022] To address the issues of low accuracy and poor ambient lighting effect in multispectral light source adjustment schemes provided by related technologies, this application provides an embodiment of a multispectral light source parameter optimization method, such as... Figure 1 This is a basic flowchart of the multispectral light source parameter optimization method provided in this embodiment. The multispectral light source parameter optimization method includes the following steps:

[0023] Step 101: Obtain the regional characteristic spectrum of the target lighting area under the lighting environment corresponding to the test light source, and obtain the light environment requirement index corresponding to the target lighting area.

[0024] Specifically, in this embodiment, the target illumination area refers to the illumination area of ​​a multispectral light source. This area can be divided into a reflective illumination area and a transmissive illumination area based on different material properties. For example... Figure 2 The diagram shown is a schematic of a target lighting area provided in this embodiment. The target lighting area may include a lighting area of ​​interest and / or a background lighting area. In practical applications, the target lighting area may be a desktop area in a multispectral light source lighting environment, while the lighting area of ​​interest is the user work area in the desktop area, and the background lighting area is the background area in the desktop area other than the user work area.

[0025] It is worth noting that the regional characteristic spectrum is used to characterize the optical properties of the target illumination area under the illumination of the test light source, and the light environment requirement index is a comfort evaluation index and / or light health evaluation index related to the human eye's reception characteristics. The preferred test light source is D65.

[0026] In one optional embodiment of this example, the step of obtaining the regional characteristic spectrum of the target illumination area under the illumination environment corresponding to the test light source includes: obtaining the spectral characteristic curve of the target illumination area under the illumination environment corresponding to the test light source; wherein, the target illumination area includes the illumination area of ​​interest and / or the background illumination area, and the spectral characteristic curve includes the spectral reflectance curve and / or the spectral transmittance curve; and obtaining the corresponding regional characteristic spectrum based on the spectral characteristic curve.

[0027] In a preferred embodiment, the multispectral light source parameter optimization method of this embodiment can combine the illumination region of interest and the background illumination region in the target illumination region to evaluate the optical characteristics of the illumination region of the multispectral light source. Furthermore, considering that most application scenarios are reflective lighting scenarios, the spectral characteristic curve of this embodiment can preferably be implemented using a spectral reflectance curve. Figure 3 The diagram shown is a schematic of a spectral reflectance curve provided in this embodiment, which exemplarily illustrates the spectral reflectance curves of the illuminated region of interest for paper materials of different colors.

[0028] Furthermore, in an optional embodiment of this example, the step of obtaining the corresponding regional characteristic spectrum based on the spectral characteristic curve includes: obtaining optical characteristic information of the target illumination area under the illumination environment corresponding to the test light source; wherein, the optical characteristic information includes luminance and / or chromaticity; and obtaining the regional characteristic spectrum corresponding to the spectral characteristic curve based on the optical characteristic information.

[0029] It should be noted that in this embodiment, the brightness, chromaticity and other information of the target lighting area and the background lighting area under the illumination of the test light source can be analyzed. Then, the characteristic wavelength spectral band that plays an important role can be determined from the spectral characteristic curve as the regional characteristic spectrum. For example, for the target lighting area with a yellowish material color, the long wavelength spectral band in the spectral reflectance curve can be selected as the regional characteristic spectrum.

[0030] Furthermore, in an optional embodiment of this example, the target illumination region includes an illumination region of interest and a background illumination region. Accordingly, the step of obtaining the optical characteristic information of the target illumination region under the illumination environment corresponding to the test light source includes: obtaining first optical characteristic information and second optical characteristic information of the illumination region of interest and the background illumination region under the illumination environment corresponding to the test light source; and setting third optical characteristic information of the boundary region between the illumination region of interest and the background illumination region based on the first and second optical characteristic information. The step of obtaining the regional characteristic spectrum corresponding to the spectral characteristic curve based on the optical characteristic information includes: combining the first, second, and third optical characteristic information to obtain the regional characteristic spectrum corresponding to the spectral characteristic curve.

[0031] Specifically, in practical applications, the area where the region of interest and the background lighting region meet may have a strong edge line due to the large difference in mapped colors. Based on this, this embodiment combines the optical characteristics of both the region of interest and the background lighting region to set the optical characteristics of the boundary region. This allows the boundary region to be taken into account when acquiring the regional characteristic spectrum of the target lighting region, thereby achieving a smooth transition of the light tone of the boundary region between the region of interest and the background lighting region during spectral mapping.

[0032] In an optional implementation of this embodiment, the specific implementation methods of the above-described step of obtaining the light environment demand index corresponding to the target lighting area include, but are not limited to, the following two:

[0033] Method 1: Obtain the reading distance and area corresponding to the target lighting area; calculate the proportion of light received by the human eye in the area of ​​interest lighting and the background lighting area in the target lighting area based on the reading distance and area; determine the light environment requirement indicators corresponding to the target lighting area based on the proportion of light received by the human eye; wherein, the light environment requirement indicators include light environment comfort requirement indicators and / or light environment health requirement indicators.

[0034] Specifically, in practical applications, if only the user's behavior of receiving reflected light in a single area is considered for evaluation, it is difficult to fully take into account the user's comfort and health. For example, if only the received light dose in the area of ​​interest lighting is considered to meet the human eye comfort, it may be difficult to meet the human eye health requirements such as blue light damage and circadian rhythm. Based on this, this embodiment comprehensively considers the proportion of human eye received light in the target lighting area and the background lighting area, and forms comprehensive dose index requirements to take into account both the user's human eye comfort and health.

[0035] Method 2: Obtain the regional characteristic information of the target lighting area; wherein the regional characteristic information includes at least one of the following: material characteristic information and color characteristic information; determine the light environment requirement index corresponding to the target lighting area based on the regional characteristic information; wherein the light environment requirement index includes at least one of the following: brightness index, illuminance index, color contrast ratio, hue, saturation, and color purity, wherein the brightness index includes brightness level and / or brightness contrast ratio, and the illuminance index includes illuminance level and / or illuminance contrast ratio.

[0036] Specifically, the light environment requirements determined by the regional characteristic information can be the range of relevant indicators that meet the comfort of the human eye. For example, the hue can be the color gamut range corresponding to yellow and green, the saturation can be between 0 and 30, and the color purity can be between 0 and 0.3.

[0037] In an optional embodiment of this example, before the step of determining the light environment demand index corresponding to the target lighting area based on the regional characteristic information, the method further includes: obtaining visual perception attribute information of different types of user groups relative to the regional characteristic information; correspondingly, the step of determining the light environment demand index corresponding to the target lighting area based on the regional characteristic information includes: combining the regional characteristic information and each visual perception attribute information to determine the light environment demand index corresponding to the target lighting area.

[0038] Specifically, in practical applications, different user groups have different visual perception attributes for the same area characteristics. Therefore, their lighting environment requirements also differ. It should be understood that user groups can be categorized by gender or age group. This embodiment uses color characteristics as the area characteristics and gender as the user group type for illustration. Under the colors red, yellow, green, cyan, blue, and magenta, as saturation increases, the comfort levels of men and women for different lighting areas show corresponding patterns. For white lighting areas, when the saturation is 0-10, men experience increased comfort with yellow and green light. For light yellow lighting areas, low-saturation yellow, green, and red light also show a slight increase in comfort for men, followed by a decrease at higher saturation levels. When the saturation is 0-10, women experience increased comfort with yellow light. For yellow and dark yellow lighting areas, comfort generally decreases as saturation increases. It should be noted that the saturation here is represented on the CIE Lab chromaticity diagram, which forms light of different purities for each color. It mainly uses a mixture of white light and monochromatic light, and the final saturation effect presented on the illuminated area is the standard.

[0039] Step 102: Based on the light environment requirement index, map the regional characteristic spectrum and the preset multispectral light source characteristic spectrum to obtain the target multispectral light source spectrum.

[0040] Specifically, in this embodiment, the characteristic spectrum of the multispectral light source includes, but is not limited to, at least one of the wavelength, half-width, peak area, and peak position of different spectral channels; the target multispectral light source spectrum includes a spectral set obtained by proportioning different spectral channels. This embodiment is performance-oriented, performs spectral mapping with reference to light environment requirements, obtains the composition ratio of different spectral channels, and the multi-channel spectra are proportionally composed to form the target multispectral light source spectrum. Based on this target multispectral light source spectrum, the visual characteristics of the multispectral light source lighting environment can be optimized. In practical applications, assuming the light source has four channels with characteristic spectra of: blue light peak wavelength and half-width at half-maximum (WWHM) of 450 nm and 30 nm, respectively; green light peak wavelength and WWHM of 540 nm and 40 nm, respectively; red light peak wavelength and WWHM of 610 nm and 30 nm, respectively; and full-spectrum white light, the spectral characteristics of the light source and the reflection / transmission characteristics of the target illumination area can be optimized. Using light source performance as the optimization target, such as color temperature, luminous efficacy, and comfort, the spectral proportions of the four channels are obtained, forming a spectral set. Furthermore, the performance of n different target illumination areas, such as contrast ratio, color contrast ratio, comfort, and health, can be optimized as indicators to obtain the required spectral sets B1, B2, ..., Bn for n different target areas. Figure 4 The diagram shown illustrates a spectral optimization principle provided in this embodiment. It demonstrates the optimization principle for three spectral peak wavelength / half-width ratios of 450 / 30nm, 540 / 30nm, and 610 / 30nm, respectively. The corresponding spectral proportions are calculated using preset target values, resulting in the following... Figure 4 The mixing ratio shown is as follows.

[0041] In one optional embodiment of this example, after the step of mapping the regional characteristic spectrum and the preset multispectral light source characteristic spectrum to obtain the target multispectral light source spectrum by referring the light environment requirement index, the method further includes: optimizing the target multispectral light source spectrum based on non-visual characteristic information to obtain the optimized multispectral light source characteristic spectrum; wherein, the non-visual characteristic information includes at least one of the following: natural spectral characteristic information, continuous characteristic information, rhythmic health characteristic information, and blue light damage dose characteristic information.

[0042] Specifically, after optimizing the visual characteristics, this embodiment can further optimize the non-visual characteristics of the multispectral light source lighting environment. That is, based on the non-visual characteristic information and the first spectral data combination, the light source is further selected to obtain a multispectral light source characteristic spectrum that simultaneously satisfies both visual and non-visual characteristics. If there are multiple optimized multispectral light source characteristic spectra, they are combined into a second spectral data combination to further improve the eye comfort and health of the lighting environment. Figure 5The diagram shown illustrates another spectral optimization principle provided in this embodiment. It demonstrates the principle of further optimizing non-visual characteristics after completing the optimization of visual characteristics. It further calculates the natural spectral characteristics, continuity characteristics, circadian rhythm health, and blue light damage dose characteristics corresponding to all spectral schemes after completing the visual characteristic optimization, thus obtaining... Figure 5 The comprehensive optimization results are shown. It should be understood that the above-described embodiments are... Figure 5 The implementation shown is only an optional example with 4 spectral channels. In practical applications, more continuous solutions can be formed for schemes with more spectral channels, which will not be described in detail here.

[0043] In one optional embodiment of this example, the step of obtaining the light environment requirement index corresponding to the target lighting area includes: dividing the target lighting area into pixel-level segments to obtain multiple target lighting units; obtaining the corresponding unit characteristic information of each target lighting unit; obtaining the corresponding light environment requirement index of each target lighting unit based on the unit characteristic information; correspondingly, the step of mapping the regional characteristic spectrum and the preset multispectral light source characteristic spectrum to obtain the target multispectral light source spectrum by referring to the light environment requirement index includes: mapping the regional characteristic spectrum and the preset multispectral light source characteristic spectrum to obtain the target multispectral light source spectrum of each target lighting unit by referring to the corresponding light environment requirement index of each target lighting unit in the target lighting area.

[0044] Specifically, unlike the regional spectral mapping technique used in the aforementioned embodiments, this embodiment divides the target lighting area into pixel-level segments and then uses pixel-level spectral mapping. For each target lighting unit within the target lighting area, the corresponding light environment requirement index is determined based on its corresponding characteristic information (such as material characteristic information and color characteristic information), and spectral mapping is performed based on the light environment requirement index of each target lighting unit. That is, spectral mapping is performed based on pixel-level characteristic spectra, which can improve the accuracy of spectral mapping compared to regional spectral mapping.

[0045] Step 103: Determine the light source control parameters corresponding to the multispectral light source based on the spectrum of the target multispectral light source.

[0046] Specifically, this embodiment can preset n adjustable multispectral light sources based on factors such as luminous efficacy, spectral type, and cost. To achieve better adjustment, n can usually be set to greater than or equal to 3, although n ≥ 2 can also be satisfied under certain conditions. Based on this, this embodiment organically combines the characteristics of the illuminated area with the characteristics of the multispectral light source, applies spectral mapping technology to optimize the light source control parameters, and adjusts and controls the multispectral light source according to the determined light source control parameters, thereby achieving a comfortable and healthy lighting environment by comprehensively considering the characteristics of both the illuminated area and the multispectral light source.

[0047] In an optional embodiment of this example, before the step of determining the light source control parameters corresponding to the multispectral light source based on the target multispectral light source spectrum, the method further includes: keeping the relative spectral values ​​of the target multispectral light source spectrum unchanged, and determining the corresponding multispectral light source intensity based on the brightness index and / or illuminance index. Accordingly, the step of determining the light source control parameters corresponding to the multispectral light source based on the target multispectral light source spectrum includes: combining the target multispectral light source spectrum and the multispectral light source intensity to determine the light source control parameters corresponding to the multispectral light source.

[0048] It is worth mentioning that, in this embodiment, after optimizing the light source spectrum, the relative spectral values ​​can be kept unchanged, and the light source intensity can be further optimized to meet the requirements of brightness / illuminance level and brightness / illuminance contrast.

[0049] Figure 6 The method described in this application is a refined method for optimizing multispectral light source parameters, specifically including the following steps:

[0050] Step 601: Obtain the optical characteristics and spectral feature curves of the target illumination area under the illumination environment corresponding to the test light source;

[0051] Step 602: Obtain the regional characteristic spectrum corresponding to the spectral characteristic curve based on optical property information;

[0052] Step 603: Obtain the reading distance, area, and material properties information corresponding to the target lighting area;

[0053] Step 604: Calculate the proportion of light received by the human eye in the target lighting area and the background lighting area based on the reading distance and area;

[0054] Step 605: Determine the light environment requirements for the target lighting area based on the proportion of light received by the human eye and material characteristics.

[0055] Step 606: Referring to the light environment requirement index, map the regional characteristic spectrum and the preset multispectral light source characteristic spectrum to obtain the target multispectral light source spectrum.

[0056] Step 607: Optimize the spectrum of the target multispectral light source based on non-visual characteristic information to obtain the optimized multispectral light source characteristic spectrum;

[0057] Step 608: Keep the relative spectral values ​​of the characteristic spectra of the optimized multispectral light source unchanged, and determine the corresponding multispectral light source intensity based on the brightness index and / or illuminance index.

[0058] Step 609: Combine the optimized multispectral light source characteristic spectrum and the multispectral light source intensity to determine the light source control parameters corresponding to the multispectral light source.

[0059] It should be understood that the sequence number of each step in this embodiment does not imply the order in which the steps are executed. The execution order of each step should be determined by its function and internal logic, and should not constitute a unique limitation on the implementation process of this application embodiment.

[0060] Figure 7 A multispectral light source parameter optimization device is provided in one embodiment of this application. This multispectral light source parameter optimization device can be used to implement the multispectral light source parameter optimization method in the foregoing embodiments, and mainly includes:

[0061] The acquisition module 701 is used to acquire the regional characteristic spectrum of the target lighting area under the lighting environment corresponding to the test light source, and to acquire the light environment requirement index corresponding to the target lighting area.

[0062] The mapping module 702 is used to map the regional characteristic spectrum and the preset multispectral light source characteristic spectrum with reference to the light environment requirement index to obtain the target multispectral light source spectrum; wherein, the multispectral light source characteristic spectrum includes at least one of the wavelength, half width, peak area and peak position of different spectral channels; the target multispectral light source spectrum includes a spectral set obtained after matching different spectral channels;

[0063] The determination module 703 is used to determine the light source control parameters corresponding to the multispectral light source based on the spectrum of the target multispectral light source.

[0064] In one optional embodiment of this example, when the acquisition module performs the function of acquiring the regional characteristic spectrum of the target illumination area under the illumination environment corresponding to the test light source, it is specifically used to: acquire the spectral characteristic curve of the target illumination area under the illumination environment corresponding to the test light source; wherein, the target illumination area includes the illumination area of ​​interest and / or the background illumination area, and the spectral characteristic curve includes the spectral reflectance curve and / or the spectral transmission curve; and acquire the corresponding regional characteristic spectrum based on the spectral characteristic curve.

[0065] Furthermore, in an optional embodiment of this example, when the acquisition module performs the function of acquiring the corresponding regional characteristic spectrum based on the spectral characteristic curve, it is specifically used to: acquire the optical characteristic information of the target illumination area under the illumination environment corresponding to the test light source; wherein, the optical characteristic information includes luminance and / or chromaticity; and acquire the regional characteristic spectrum corresponding to the spectral characteristic curve based on the optical characteristic information.

[0066] In one optional embodiment of this example, when the acquisition module acquires the light environment requirement index corresponding to the target lighting area, it is specifically used to: acquire the reading distance and area corresponding to the target lighting area; calculate the ratio of light received by the human eye between the area of ​​interest lighting and the background lighting area in the target lighting area based on the reading distance and area; determine the light environment requirement index corresponding to the target lighting area based on the ratio of light received by the human eye; wherein, the light environment requirement index includes the light environment comfort requirement index and / or the light environment health requirement index.

[0067] In another optional embodiment of this example, when the acquisition module acquires the light environment requirement index corresponding to the target lighting area, it is specifically used to: acquire the regional characteristic information of the target lighting area; wherein, the regional characteristic information includes at least one of the following: material characteristic information, color characteristic information; determine the light environment requirement index corresponding to the target lighting area based on the regional characteristic information; wherein, the light environment requirement index includes at least one of the following: brightness index, illuminance index, color contrast ratio, hue, saturation, the brightness index includes brightness level and / or brightness contrast ratio, and the illuminance index includes illuminance level and / or illuminance contrast ratio.

[0068] Furthermore, in an optional embodiment of this example, the acquisition module is also used to: acquire visual perception attribute information of different types of user groups relative to regional characteristic information; when the determination module performs the above-mentioned function of determining the light environment demand index corresponding to the target lighting area based on the regional characteristic information, it is specifically used to: combine the regional characteristic information and each visual perception attribute information to determine the light environment demand index corresponding to the target lighting area.

[0069] In one optional embodiment of this example, the determining module is specifically used to: optimize the spectrum of the target multispectral light source based on non-visual characteristic information to obtain the optimized multispectral light source characteristic spectrum; wherein, the non-visual characteristic information includes at least one of the following: natural spectral characteristic information, continuous characteristic information, rhythmic health characteristic information, and blue light damage dose characteristic information; and determine the light source control parameters corresponding to the multispectral light source based on the optimized multispectral light source characteristic spectrum.

[0070] In another optional embodiment of this example, the determining module is specifically used to: keep the relative spectral values ​​of the target multispectral light source spectrum unchanged, determine the corresponding multispectral light source intensity based on the brightness index and / or illuminance index; and determine the light source control parameters corresponding to the multispectral light source by combining the target multispectral light source spectrum and the multispectral light source intensity.

[0071] It should be noted that the multispectral light source parameter optimization methods in the foregoing embodiments can all be implemented based on the multispectral light source parameter optimization device provided in this embodiment. Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the multispectral light source parameter optimization device described in this embodiment can be implemented by referring to the corresponding working process in the foregoing method embodiments, and will not be repeated here.

[0072] Based on the technical solution of the embodiments of this application described above, the regional characteristic spectrum of the target lighting area under the lighting environment corresponding to the test light source is obtained, as well as the light environment requirement index corresponding to the target lighting area. Referring to the light environment requirement index, the regional characteristic spectrum and the preset multispectral light source characteristic spectrum are mapped to obtain the target multispectral light source spectrum after corresponding ratios of different spectral channels. Based on the target multispectral light source spectrum, the light source control parameters corresponding to the multispectral light source are determined. Through the implementation of this application's solution, a quantitative analysis of the illuminated area, the optical characteristics of the light source itself, and the user's lighting needs is performed. The three factors are comprehensively considered to select the light source spectrum, and the multispectral light source is adjusted accordingly, effectively improving the accuracy of light source adjustment and ensuring the comfort and health of the environmental lighting.

[0073] Figure 8 An electronic device is provided as an embodiment of this application. This electronic device can be used to implement the multispectral light source parameter optimization method described in the foregoing embodiments, and mainly includes: a memory 801 and a processor 802. The memory 801 stores a computer program 803 that can run on the processor 802. The memory 801 and the processor 802 are communicatively connected. When the processor 802 executes the computer program 803, it implements the multispectral light source parameter optimization method described in the foregoing embodiments. The number of processors 802 can be one or more.

[0074] The memory 801 can be a high-speed random access memory (RAM) or a non-volatile memory, such as a disk storage device. The memory 801 is used to store executable program code, and the processor 802 is coupled to the memory 801.

[0075] Furthermore, embodiments of this application also provide a computer-readable storage medium, which may be disposed in the electronic device described in the above embodiments, and the computer-readable storage medium may be as described above. Figure 8 The memory in the illustrated embodiment.

[0076] The computer-readable storage medium stores a computer program that, when executed by a processor, implements the multispectral light source parameter optimization method described in the foregoing embodiments. Furthermore, the computer-readable storage medium can also be a USB flash drive, external hard drive, read-only memory (ROM), RAM, magnetic disk, or optical disk, or any other medium capable of storing program code.

[0077] It should be understood that the apparatus and methods disclosed in the embodiments provided in this application can also be implemented in any other equivalent manner. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0078] The modules described as separate components may or may not be physically separate. Similarly, the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0079] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0080] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0081] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0082] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0083] The above is a description of the multispectral light source parameter optimization method, apparatus, device and storage medium provided in this application. For those skilled in the art, based on the ideas of the embodiments of this application, there will be changes in the specific implementation and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for optimizing parameters of a multispectral light source, characterized in that, include: Obtain the regional characteristic spectrum of the target illumination area under the illumination environment corresponding to the test light source, and obtain the light environment requirement index corresponding to the target illumination area; Referring to the aforementioned light environment requirement indicators, the regional characteristic spectrum and the preset multispectral light source characteristic spectrum are mapped to obtain the target multispectral light source spectrum; wherein, the multispectral light source characteristic spectrum includes at least one of the peak wavelength, half-width, peak area, and peak position of different spectral channels; the target multispectral light source spectrum includes a spectral set obtained after matching different spectral channels; Based on the spectrum of the target multispectral light source, determine the light source control parameters corresponding to the multispectral light source.

2. The method for optimizing multispectral light source parameters according to claim 1, characterized in that, The step of obtaining the regional characteristic spectrum of the target illumination area under the illumination environment corresponding to the test light source includes: Obtain the spectral characteristic curve of the target illumination area under the illumination environment corresponding to the test light source; wherein, the target illumination area includes the illumination area of ​​interest and / or the background illumination area, and the spectral characteristic curve includes the spectral reflectance curve and / or the spectral transmittance curve; The corresponding regional characteristic spectrum is obtained based on the spectral characteristic curve.

3. The method for optimizing multispectral light source parameters according to claim 2, characterized in that, The step of obtaining the corresponding regional characteristic spectrum based on the spectral characteristic curve includes: Obtain optical characteristic information of the target illumination area under the illumination environment corresponding to the test light source; wherein, the optical characteristic information includes luminance and / or chromaticity; Based on the optical property information, the regional characteristic spectrum corresponding to the spectral characteristic curve is obtained.

4. The method for optimizing multispectral light source parameters according to claim 3, characterized in that, The target lighting area includes a lighting area of ​​interest and a background lighting area; The step of obtaining the optical characteristic information of the target illumination area under the illumination environment corresponding to the test light source includes: The first optical characteristic information and the second optical characteristic information of the region of interest and the background lighting region in the target lighting area are respectively obtained under the lighting environment corresponding to the test light source; Based on the first optical characteristic information and the second optical characteristic information, a third optical characteristic information is set for the boundary region between the region of interest and the background lighting region; The step of obtaining the regional characteristic spectrum corresponding to the spectral characteristic curve based on the optical property information includes: The regional characteristic spectrum corresponding to the spectral characteristic curve is obtained by combining the first optical characteristic information, the second optical characteristic information, and the third optical characteristic information.

5. The method for optimizing multispectral light source parameters according to claim 1, characterized in that, The step of obtaining the light environment requirement index corresponding to the target lighting area includes: Obtain the reading distance and area corresponding to the target illumination region; Based on the reading distance and the area, calculate the proportion of light received by the human eye in the target lighting area and the background lighting area; The light environment requirement index corresponding to the target lighting area is determined based on the proportion of light received by the human eye; wherein, the light environment requirement index includes light environment comfort requirement index and / or light environment health requirement index.

6. The method for optimizing multispectral light source parameters according to claim 1, characterized in that, The step of obtaining the light environment requirement index corresponding to the target lighting area includes: Obtain the regional characteristic information of the target illumination area; wherein, the regional characteristic information includes at least one of the following: material characteristic information and color characteristic information; Based on the regional characteristic information, the light environment requirement index corresponding to the target lighting area is determined; wherein, the light environment requirement index includes at least one of the following: luminance index, illuminance index, color contrast ratio, hue, and saturation, the luminance index includes luminance level and / or luminance contrast ratio, and the illuminance index includes illuminance level and / or illuminance contrast ratio.

7. The method for optimizing multispectral light source parameters according to claim 6, characterized in that, Before the step of determining the light environment requirement index corresponding to the target lighting area based on the regional characteristic information, the method further includes: Obtain visual perception attribute information of different types of user groups relative to the regional characteristic information; The step of determining the light environment requirement index corresponding to the target lighting area based on the regional characteristic information includes: By combining the regional characteristic information and the visual perception attribute information, the light environment requirement index corresponding to the target lighting area is determined.

8. The method for optimizing multispectral light source parameters according to claim 1, characterized in that, The step of obtaining the light environment requirement index corresponding to the target lighting area includes: The target illumination area is divided into pixel-level subdivisions to obtain multiple target illumination units; Obtain the corresponding unit characteristic information for each of the target lighting units; Based on the characteristic information of each unit, obtain the corresponding light environment requirement index of each target lighting unit; The step of mapping the regional characteristic spectrum and the preset multispectral light source characteristic spectrum with reference to the light environment requirement index to obtain the target multispectral light source spectrum includes: By referring to the light environment requirement index of each target lighting unit in the target lighting area, the characteristic spectrum of the area and the preset multispectral light source characteristic spectrum are mapped to obtain the target multispectral light source spectrum of each target lighting unit.

9. The method for optimizing multispectral light source parameters according to any one of claims 1 to 8, wherein the step of determining the light source control parameters corresponding to the multispectral light source based on the spectrum of the target multispectral light source includes: The spectrum of the target multispectral light source is optimized based on non-visual characteristic information to obtain the optimized multispectral light source characteristic spectrum; wherein, the non-visual characteristic information includes at least one of the following: natural spectral characteristic information, continuous characteristic information, rhythmic health characteristic information, and blue light damage dose characteristic information. The light source control parameters corresponding to the multispectral light source are determined based on the optimized multispectral light source characteristic spectrum.

10. The method for optimizing multispectral light source parameters according to any one of claims 1 to 8, characterized in that, Before the step of determining the light source control parameters corresponding to the multispectral light source based on the target multispectral light source spectrum, the method further includes: Keeping the relative spectral values ​​of the target multispectral light source spectrum constant, the corresponding multispectral light source intensity is determined based on the brightness index and / or illuminance index; The step of determining the light source control parameters corresponding to the multispectral light source based on the target multispectral light source spectrum includes: By combining the spectrum of the target multispectral light source and the intensity of the multispectral light source, the light source control parameters corresponding to the multispectral light source are determined.

11. A multispectral light source parameter optimization device, characterized in that, include: The acquisition module is used to acquire the regional characteristic spectrum of the target lighting area under the lighting environment corresponding to the test light source, and to acquire the light environment requirement index corresponding to the target lighting area. The mapping module is used to map the regional characteristic spectrum and the preset multispectral light source characteristic spectrum with reference to the light environment requirement index to obtain the target multispectral light source spectrum; wherein, the multispectral light source characteristic spectrum includes at least one of the peak wavelength, half width, peak area and peak position of different spectral channels; the target multispectral light source spectrum includes a spectral set obtained after matching different spectral channels; The determination module is used to determine the light source control parameters corresponding to the multispectral light source based on the spectrum of the target multispectral light source.

12. An electronic device, characterized in that, Includes memory and processor, of which: The processor is used to execute computer programs stored in the memory; When the processor executes the computer program, it implements the steps in the multispectral light source parameter optimization method according to any one of claims 1 to 10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the multispectral light source parameter optimization method according to any one of claims 1 to 10.

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