Illumination control method, device, equipment and medium

Abstract

The invention relates to an illumination control method and device, equipment and a medium, and the method comprises the steps: calibrating a matching mapping table of each simulated light source in an illumination environment in advance; wherein the matching mapping table comprises a corresponding relation between a plurality of pieces of first light source information and adjusting parameters of the imitation light source, and a color rendering index between second light source information of the imitation light source under the adjusting parameters and the corresponding first light source information meets a preset condition; in response to the obtained target light source information, querying a matching mapping table of each imitation light source according to the target light source information, and respectively determining a target adjustment parameter of each imitation light source; and adjusting each imitation light source according to the target adjustment parameter of each imitation light source. According to the technical scheme, a lighting scheme is provided, and the user experience is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of lighting technologies, and in particular, to a lighting control method, apparatus, device, and medium. Background Art

[0002] In a home environment, various different lamps are usually provided to meet different lighting requirements.

[0003] Currently, in home use, the spectral characteristics of different lamps are different, and the spectral distribution varies greatly due to lighting technologies and hardware characteristics, affecting the visual experience of objects under different light sources. Summary of the Invention

[0004] To solve the above technical problems, the present disclosure provides a lighting control method, apparatus, device, and medium.

[0005] In a first aspect, an embodiment of the present disclosure provides a lighting control method, including:

[0006] Pre-calibrating a matching mapping table for each imitation light source in a lighting environment; wherein the matching mapping table includes a correspondence between a plurality of first light source information and adjustment parameters of the imitation light source, and a color rendering index between second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information satisfies a preset condition;

[0007] In response to obtaining target light source information, querying the matching mapping table of each imitation light source according to the target light source information, and respectively determining target adjustment parameters of each imitation light source;

[0008] Adjusting each imitation light source according to the target adjustment parameters of each imitation light source.

[0009] In a second aspect, an embodiment of the present disclosure provides a lighting control apparatus, including:

[0010] A calibration module, configured to pre-calibrate a matching mapping table for each imitation light source in a lighting environment; wherein the matching mapping table includes a correspondence between a plurality of first light source information and adjustment parameters of the imitation light source, and a color rendering index between second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information satisfies a preset condition;

[0011] An acquisition module, configured to, in response to obtaining target light source information, query the matching mapping table of each imitation light source according to the target light source information, and respectively determine target adjustment parameters of each imitation light source;

[0012] A control module, configured to adjust each imitation light source according to the target adjustment parameters of each imitation light source.

[0013] In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a processor; a memory for storing executable instructions executable by the processor; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the lighting control method described in the first aspect above.

[0014] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the lighting control method described in the first aspect above is implemented.

[0015] The technical solution provided by the embodiment of the present disclosure has the following advantages compared with the prior art: A matching mapping table of each imitation light source in the lighting environment is pre-calibrated to determine the correspondence between the first light source information and the adjustment parameters of the imitation light source. Furthermore, in response to obtaining the target light source information, the matching mapping table of each imitation light source is queried according to the target light source information to respectively determine the target adjustment parameters of each imitation light source, and each imitation light source is adjusted according to the target adjustment parameters of each imitation light source. Thus, through the full-spectrum technology, the color rendering properties of each imitation light source imitate the preferred light source, ensuring that the color rendering of an object is close under different light sources. This solution combines user preference drive, where the user can select the target light source according to their own preferences, and the system can automatically adjust other light sources to be close to the color rendering properties of the target light source, integrating the user's subjective feelings, providing personalized lighting, and moreover, the operation is simple. Through the collaborative work of multiple light sources, the consistency of the overall environment is achieved, enhancing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure and, together with the specification, are used to explain the principles of the present disclosure.

[0017] To more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a schematic flowchart of a lighting control method provided by an embodiment of the present disclosure;

[0019] Figure 2 It is a schematic structural diagram of a lighting control device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] In order to more clearly understand the above-mentioned objects, features, and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0021] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all the embodiments.

[0022] Figure 1 The flowchart of a lighting control method provided by an embodiment of the present disclosure can be executed by a lighting control device. The device can be implemented by software and / or hardware and can be integrated into any electronic device with computing capabilities.

[0023] As Figure 1 shown, the lighting control method provided by the embodiment of the present disclosure may include:

[0024] Step 101, pre-calibrate the matching mapping table of each imitation light source in the lighting environment.

[0025] In this embodiment, at least one imitation light source is provided in the lighting environment. For example, multiple lamps are provided in the lighting environment, and each lamp is an imitation light source. Optionally, each imitation light source is composed of multiple sub-light sources with different wavelengths, that is, each lamp is composed of multiple LED (Light Emitting Diode) lamp beads. By adjusting the light fluxes of different sub-light sources for mixed light, different color temperatures and spectral data can be obtained.

[0026] For each imitation light source, a matching mapping table corresponding to the imitation light source is constructed, and N matching mapping tables are obtained for N imitation light sources. Among them, the matching mapping table includes the corresponding relationships between multiple pieces of first light source information and the adjustment parameters of the imitation light source. The color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information meets a preset condition. Specifically, each matching mapping table includes multiple corresponding relationships, and each corresponding relationship is used to indicate the first light source information and the adjustment parameters corresponding to the first light source information. The adjustment parameters are used to adjust the light fluxes of different sub-light sources.

[0027] The following will be described by taking an example of a target light source information.

[0028] In an embodiment of the present disclosure, a matching mapping table for each imitation light source in the illumination environment is pre-calibrated, including: for each imitation light source, obtaining multiple sets of adjustment parameters of the imitation light source and the second light source information of the imitation light source under each set of adjustment parameters; for each first light source information, calculating the color rendering index between the first light source information and each second light source information; establishing a correspondence between the adjustment parameters corresponding to the color rendering index that meets the preset conditions and the first light source information; and generating a matching mapping table according to the correspondence between all the first light source information and the adjustment parameters.

[0029] In this embodiment, all the adjustment parameters of each imitation light source and the color temperature and spectral data of the imitation light source under the adjustment parameters can be determined. For example, the above information can be determined when the lamp leaves the factory, or can be determined by on-site collection using a spectrometer or other collection equipment based on the on-site environment. Among them, the light source information is, for example, spectral data and color temperature.

[0030] Among them, the color rendering index meets the preset conditions, including: determining that the maximum color rendering index among the color rendering indexes between the first light source information and each second light source information meets the preset conditions; and / or, the color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information is greater than or equal to the threshold.

[0031] As an example, the imitation light source has M sets of adjustment parameters and M second light source information corresponding one-to-one to the M sets of adjustment parameters. For the first light source information, calculate the color rendering index between the first light source information and the M second light source information respectively to obtain M color rendering indexes, and then determine the maximum color rendering index from the M color rendering indexes. Take the adjustment parameters corresponding to the maximum color rendering index as the adjustment parameters corresponding to the first light source information, and / or, determine the color rendering indexes greater than the threshold from the M color rendering indexes, and take the adjustment parameters corresponding to the color rendering indexes greater than the threshold as the adjustment parameters corresponding to the first light source information. In this example, the formula for calculating the color rendering index can adopt the formula of the measured light source and the standard light source, which is used to judge whether the color of an object under the measured light source is close to the standard light source. Replace the measured light source in the formula with the second light source information and the standard light source with the first light source information.

[0032] Furthermore, a batch of multiple first light source information can be obtained. For each first light source information in the multiple first light source information, the adjustment parameters corresponding to the first light source information can be determined. Thus, for each imitation light source, the adjustment parameters corresponding to different first light source information can be determined.

[0033] The following is an illustration in combination with an actual application scenario.

[0034] First, determine the first light source information: The first light source information can be selected by the user. For example, the user selects a target lamp through a mobile terminal application and reports the lamp parameters. The lamp parameters include parameters such as manufacturer information and model that can locate the lamp hardware. According to the lamp parameters, the corresponding spectral data is retrieved through a large model or a database, or collected on-site using a spectrometer based on the on-site environment. The collected spectral data can be stepped at a certain color temperature interval, such as a 100K color temperature step, which is specifically defined according to actual requirements. For another example, the user can upload spectral data as the first light source information; the first light source information can also be generated according to certain rules. Furthermore, determine the spectral combination of the imitation light source, screen through batch data calculation of the color rendering index, and determine the adjustment parameters corresponding to the first light source information. It should be noted that the first light source information and the second light source information may be the same or there may be certain differences. Due to the actual lamp parameters, for the first light source information at a color temperature of 4000K, the second light source information at a color temperature of 4200K may have the optimal color rendering index for a certain imitation light source, and no specific restrictions are made here. Thus, by using the color rendering index calculation and full-spectrum technology, the imitation light source adjusts the spectrum to find the best spectral combination, improving the accuracy of light source adjustment and the display effect.

[0035] Step 102, in response to obtaining the target light source information, query the matching mapping table of each imitation light source according to the target light source information, and respectively determine the target adjustment parameters of each imitation light source.

[0036] In this embodiment, the target light source information can be obtained, and the target adjustment parameters of each imitation light source in the lighting environment are determined through the target light source information. Optionally, for each imitation light source, query the matching mapping table of the imitation light source according to the target light source information. If there is a first light source information that is the same as the target light source information, then use the adjustment parameters corresponding to the first light source information as the target adjustment parameters of the imitation light source. If there is no first light source information that is the same as the target light source information, then determine the first light source information with the highest similarity to the target light source information from all the first light source information, and use the adjustment parameters corresponding to the first light source information as the target adjustment parameters of the imitation light source.

[0037] In an embodiment of the present disclosure, the target light source information can be determined based on user input, where obtaining the target light source information includes: obtaining the target light source information input by the user; and / or, obtaining an image input by the user; identifying the image to obtain the color temperature information matching the image, so as to determine the target light source information according to the color temperature information.

[0038] As an example, the user inputs target light source information through the mobile terminal application. Multiple light source information options are provided in the application. When a trigger operation on one of the light source information options is detected, the light source information corresponding to the light source information option is used as the target light source information. Alternatively, the user selects a lighting fixture through the mobile terminal application and reports the fixture parameters, and the target light source information is retrieved through a large model or a database based on the fixture parameters. Alternatively, the user inputs "imitate a color temperature of 4000K" by voice, and the corresponding target light source information is determined by recognizing the voice input.

[0039] As another example, an upload image control is set in the mobile terminal application. Through this upload image control, the user can upload an image, which can be a real-time shot or selected from the album of the mobile terminal. In this example, an image recognition model is pre-trained. The input of the image recognition model is an image, and the output is the light source information corresponding to the image. The model training process includes: obtaining sample images, where the sample images are correspondingly labeled with the light source information in the lighting environment in the images, and training the model through the sample images and the labeled content. In an actual application scenario, when the user can obtain an environmental image under the desired object color rendering property, the image is input into the pre-trained image recognition model, and the corresponding target light source information is automatically recognized. Thus, the target light source information to be adjusted can be intelligently obtained, improving the user experience.

[0040] In an embodiment of the present disclosure, the target light source information can be determined through detection. Obtaining the target light source information includes: collecting data on the lighting environment to obtain environmental perception data of the lighting environment; performing scene recognition based on the environmental perception data to obtain the scene category corresponding to the lighting environment; and determining the corresponding target light source information according to the scene category. In this embodiment, the environmental perception data includes image data, voice data, etc. There can be multiple pre-set scene categories, for example, multiple scene categories and the light source information corresponding to the scene categories are pre-set for the lighting environment, and the light source information corresponding to the scene category represents the light source information expected to be adjusted in this scene.

[0041] As an example, the environmental perception data includes environmental images. Scene recognition is performed based on the environmental perception data to obtain the scene category corresponding to the lighting environment, including: performing object detection on the environmental image to determine the people in the environmental image; extracting the action features of the people, and when the action features are preset features, determining that the scene category is a homework scene. In this example, for the homework scene in the home lighting environment, an image recognition model is pre-trained. The input of the image recognition model is an image and the output is the scene category. Specifically, the image recognition model includes an object detection part, a feature extraction part, and a classification part. During the model training process, the actions in the homework scene are marked and trained so that the image recognition model can accurately recognize the homework scene. Thus, it is possible to intelligently detect the homework scene in the home lighting environment and adjust each imitation light source for the scene to achieve object color rendering consistency, improving the user experience.

[0042] Step 103: Adjust each imitation light source according to the target adjustment parameter of each imitation light source.

[0043] In this embodiment, each imitation light source is adjusted according to the target adjustment parameter of each imitation light source. By adjusting the luminous flux of each sub-light source in each imitation light source, the color rendering of the object under each imitation light source and the color rendering of the object under the target light source information meet the consistency condition. Optionally, the lamp hardware is provided with a wireless function, and the target adjustment parameter is obtained wirelessly, and then the target adjustment parameter is used to perform light drive adjustment to be close to the target light source.

[0044] According to the technical solution of the embodiment of the present disclosure, a matching mapping table of each imitation light source in the lighting environment is pre-calibrated to determine the correspondence between the first light source information and the adjustment parameter of the imitation light source. Furthermore, in response to obtaining the target light source information, the matching mapping table of each imitation light source is queried according to the target light source information to respectively determine the target adjustment parameter of each imitation light source, and each imitation light source is adjusted according to the target adjustment parameter of each imitation light source. Thus, through the full-spectrum technology, the color rendering of each imitation light source imitates the color rendering of the preferred light source, ensuring that the color rendering of the object under different light sources is close. This solution combines user preference drive. The user can select the target light source according to their own preferences, and the system can automatically adjust other light sources to be close to the color rendering of the target light source, taking into account the subjective feelings of the user, providing personalized lighting, and moreover, the operation is simple. Through the coordinated work of multiple light sources, the color rendering consistency of the overall environment is achieved, improving the user experience.

[0045] Figure 2 This is a schematic structural diagram of a lighting control device provided by an embodiment of the present disclosure, as Figure 2 shown. The lighting control device includes: a calibration module 21, an acquisition module 22, and a control module 23.

[0046] The calibration module 21 is used to pre-calibrate the matching mapping table of each imitation light source in the lighting environment; wherein, the matching mapping table includes the corresponding relationships between multiple first light source information and the adjustment parameters of the imitation light source, and the color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information meets a preset condition;

[0047] The acquisition module 22 is used to, in response to obtaining target light source information, query the matching mapping table of each imitation light source according to the target light source information, and respectively determine the target adjustment parameters of each imitation light source;

[0048] The control module 23 is used to adjust each imitation light source according to the target adjustment parameters of each imitation light source.

[0049] In an embodiment of the present disclosure, the acquisition module 22 is specifically used for:

[0050] Obtain the target light source information input by the user; and / or,

[0051] Obtain the image input by the user;

[0052] Identify the image to obtain the color temperature information matching the image, so as to determine the target light source information according to the color temperature information.

[0053] In an embodiment of the present disclosure, the acquisition module 22 is specifically used for:

[0054] Collect data on the lighting environment to obtain the environmental perception data of the lighting environment;

[0055] Perform scene recognition according to the environmental perception data to obtain the scene category corresponding to the lighting environment;

[0056] Determine the corresponding target light source information according to the scene category.

[0057] In an embodiment of the present disclosure, the environmental perception data includes an environmental image, and performing scene recognition according to the environmental perception data to obtain the scene category corresponding to the lighting environment includes:

[0058] Perform target detection on the environmental image to determine the people in the environmental image;

[0059] Extract the action features of the people, and when the action features are preset features, determine that the scene category is a homework scene.

[0060] In an embodiment of the present disclosure, the calibration module 21 is specifically used for:

[0061] For each imitation light source, obtain multiple sets of adjustment parameters of the imitation light source, and second light source information of the imitation light source under each set of the adjustment parameters;

[0062] For each first light source information, calculate the color rendering index between the first light source information and each second light source information;

[0063] Establish a correspondence between the adjustment parameters corresponding to the color rendering index that meets the preset conditions and the first light source information;

[0064] Generate the matching mapping table according to the correspondence between all the first light source information and the adjustment parameters.

[0065] In an embodiment of the present disclosure, the color rendering index meeting the preset conditions includes:

[0066] For the maximum color rendering index among the color rendering indexes between the first light source information and each second light source information, determine that the maximum color rendering index meets the preset conditions;

[0067] And / or,

[0068] The color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information is greater than or equal to a threshold value.

[0069] The lighting control device provided in the embodiment of the present disclosure can execute any lighting control method provided in the embodiment of the present disclosure, and has corresponding functional modules and beneficial effects for executing the method. The content not described in detail in the device embodiment of the present disclosure can be referred to the description in any method embodiment of the present disclosure.

[0070] The embodiment of the present disclosure also provides an electronic device, which includes one or more processors and a memory. The processor can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device to execute desired functions. The memory can include one or more computer program products, and the computer program products can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory can include, for example, random access memory (RAM) and / or cache memory, etc. Non-volatile memory can include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions can be stored on the computer-readable storage media, and the processor can run the program instructions to implement the method of the embodiment of the present disclosure above and / or other desired functions. Various contents such as input signals, signal components, and noise components can also be stored in the computer-readable storage media.

[0071] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and / or other forms of connection mechanisms. In addition, the input device may further include, for example, a keyboard, a mouse, and so on. The output device may output various information to the outside, including the determined distance information, direction information, and so on. The output device may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, and so on. In addition, according to specific application scenarios, the electronic device may further include any other appropriate components such as a bus, an input / output interface, and so on.

[0072] In addition to the above methods and devices, embodiments of the present disclosure may also be a computer program product, which includes computer program instructions that cause a processor to execute any method provided by the embodiments of the present disclosure when the computer program instructions are run by the processor.

[0073] The computer program product may be written in any combination of one or more programming languages for programming code to perform the operations of the embodiments of the present disclosure. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The programming code may be executed entirely on the user computing device, partially on the user device, executed as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0074] In addition, embodiments of the present disclosure may also be a computer-readable storage medium, on which computer program instructions are stored, and the computer program instructions cause a processor to execute any method provided by the embodiments of the present disclosure when the computer program instructions are run by the processor.

[0075] The computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may, for example, include but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0076] It should be noted that, in this document, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising said element.

[0077] The above are only specific embodiments of the present disclosure, enabling those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments described herein, but rather will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A lighting control method, characterized in that, The method includes: Pre-calibrating a matching mapping table for each imitation light source in the lighting environment; wherein, the matching mapping table includes the correspondence between a plurality of first light source information and the adjustment parameters of the imitation light source, and the color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information meets a preset condition; In response to obtaining target light source information, query the matching mapping table of each imitation light source according to the target light source information, and respectively determine the target adjustment parameters of each imitation light source; Adjust each imitation light source according to the target adjustment parameters of each imitation light source.

2. The method according to claim 1, characterized in that, The obtaining of the target light source information includes: Obtaining the target light source information input by the user; and / or, Obtaining an image input by the user; Identifying the image to obtain color temperature information matching the image, so as to determine the target light source information according to the color temperature information.

3. The method according to claim 1, characterized in that The obtaining of the target light source information includes: Performing data collection on the lighting environment to obtain environmental perception data of the lighting environment; Performing scene recognition according to the environmental perception data to obtain the scene category corresponding to the lighting environment; Determining the corresponding target light source information according to the scene category.

4. The method according to claim 3, wherein The environmental perception data includes an environmental image, and the performing scene recognition according to the environmental perception data to obtain the scene category corresponding to the lighting environment includes: Performing target detection on the environmental image to determine the people in the environmental image; Extracting the action features of the people, and when the action features are preset features, determining that the scene category is a homework scene.

5. The method according to claim 1, wherein The pre-calibrating a matching mapping table for each imitation light source in the lighting environment includes: For each imitation light source, obtaining multiple groups of adjustment parameters of the imitation light source, and the second light source information of the imitation light source under each group of the adjustment parameters; For each first light source information, calculating the color rendering index between the first light source information and each second light source information; Establishing the correspondence between the adjustment parameters corresponding to the color rendering index meeting the preset condition and the first light source information; Generating the matching mapping table according to the correspondence between all the first light source information and the adjustment parameters.

6. The method according to claim 5, characterized in that, The color rendering index meeting the preset condition includes: Determining that the maximum color rendering index among the color rendering indexes between the first light source information and each second light source information meets the preset condition; and / or, The color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information is greater than or equal to a threshold value.

7. A lighting control device, characterized in that, It includes: A calibration module for pre-calibrating a matching mapping table for each imitation light source in the lighting environment; wherein, the matching mapping table includes the correspondence between a plurality of first light source information and the adjustment parameters of the imitation light source, and the color rendering index between the second light source information of the imitation light source under the adjustment parameters and the corresponding first light source information meets a preset condition; An acquisition module, configured to, in response to acquiring target light source information, query a matching mapping table of each imitation light source according to the target light source information, and respectively determine target adjustment parameters of each imitation light source; A control module, configured to adjust each imitation light source according to the target adjustment parameters of each imitation light source.

8. The device according to claim 7, characterized in that, The calibration module is specifically configured to: For each imitation light source, acquire multiple groups of adjustment parameters of the imitation light source, and second light source information of the imitation light source under each group of the adjustment parameters; For each first light source information, calculate a color rendering index between the first light source information and each second light source information; Establish a correspondence between the adjustment parameters corresponding to the color rendering index that meets the preset condition and the first light source information; Generate the matching mapping table according to the correspondence between all the first light source information and the adjustment parameters.

9. An electronic device, characterized in that, Comprising: A processor; A memory for storing executable instructions of the processor; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the lighting control method according to any one of claims 1-6 above.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and when the computer program is executed by the processor, the lighting control method according to any one of claims 1-6 above is implemented.

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