Light source light intensity distribution optimization method and device, equipment and storage medium

Abstract

The invention provides a light source light intensity distribution optimization method and device, equipment and a storage medium, and relates to the technical field of optics, and the specific implementation scheme is as follows: obtaining a demand visual effect index corresponding to a current light emitting scene; determining a corresponding light intensity distribution parameter value according to the required visual effect index; determining a light intensity distribution model according to the light intensity distribution parameter value; wherein the light intensity distribution model is used for indicating the light-emitting equipment to execute a corresponding light distribution strategy. Through the implementation of the scheme, the light intensity distribution of the light source is adaptively adjusted according to the light emitting requirement of a user in an actual application scene, so that light output is accurately controlled, invalid light can be effectively reduced, the visual friendliness of the user is improved, meanwhile, the energy consumption and carbon emission of light source equipment are reduced, and the purposes of energy conservation and emission reduction are achieved.

Description

Technical Field

[0001] This application relates to the field of optical technologies, and particularly to a method, device, equipment, and storage medium for optimizing the light intensity distribution of a light source. Background Art

[0002] With the continuous development of technology, more and more lighting devices exist in living spaces and urban spaces. Currently, the lighting devices do not accurately adjust according to the actual lighting needs of users in actual application scenarios, resulting in low user-friendliness in lighting application scenarios and high energy consumption and carbon emissions.

[0003] It should be noted that the technologies described in this part are not necessarily those that have been previously conceived or adopted. Unless otherwise specified, any technology described in this part should not be considered as prior art merely because it is included in this part. Similarly, unless otherwise specified, the problems mentioned in this part should not be considered as recognized in any prior art. Summary of the Invention

[0004] Embodiments of this application provide a method, device, equipment, and storage medium for optimizing the light intensity distribution of a light source, aiming to solve at least one of the problems in the related technologies to a certain extent.

[0005] In the first aspect of the embodiments of this application, a method for optimizing the light intensity distribution of a light source is provided, which is applied to a lighting device and includes:

[0006] Obtain the required visual effect indicators corresponding to the current lighting scenario;

[0007] Determine the corresponding light intensity distribution parameter values according to the required visual effect indicators;

[0008] Determine a light intensity distribution model according to the light intensity distribution parameter values; wherein, the light intensity distribution model is used to instruct the lighting device to execute the corresponding light distribution strategy.

[0009] In an alternative embodiment, the types of the current lighting scenario include at least one of the following: the lighting scenario of an external wall LED advertising screen in an urban space, the lighting scenario of a display screen in an office space, the lighting scenario of a display screen of a mobile terminal; and / or, the types of the required visual effect indicators include at least one of the following: the viewing angle range of the human eye, the intensity contrast, the light color.

[0010] In an alternative embodiment, the determining the corresponding light intensity distribution parameter values according to the required visual effect indicators includes:

[0011] Determine the light beam angle of the light source according to the required viewing angle range in the required visual effect indicators;

[0012] Determine the first light intensity in the radiation direction of the light ray that forms an angle θ with the central normal of the light source according to the light source beam angle;

[0013] Determine the second light intensity within the light distribution range according to the required luminous intensity in the required visual effect index;

[0014] Take the first light intensity, the second light intensity, and the light source beam angle as the light intensity distribution parameter values.

[0015] In an alternative embodiment, the determining the first light intensity in the radiation direction of the light ray that forms an angle θ with the central normal of the light source according to the light source beam angle includes:

[0016] Determine the corresponding light distribution form according to the light source beam angle; wherein, the light distribution form includes symmetric distribution and skewed distribution;

[0017] Determine the first light intensity in the radiation direction of the light ray that forms an angle θ with the central normal of the light source according to the light distribution form.

[0018] In an alternative embodiment, after determining the light intensity distribution model according to all the light intensity distribution parameter values, it further includes:

[0019] Calculate the corresponding actual indexes of other required optimization indexes based on the light intensity distribution model; wherein, the other required optimization indexes include at least one of the following: required stray light index, required energy consumption index, required carbon emission index;

[0020] If the actual index exceeds the other required optimization index, within the constraint range corresponding to the required visual effect index, optimize the first light intensity and the second light intensity in the light intensity distribution parameter values to obtain an optimized light intensity distribution model.

[0021] In an alternative embodiment, the light source light intensity distribution optimization method further includes:

[0022] Obtain other required optimization indexes corresponding to the current lighting scene; wherein, the other required optimization indexes include at least one of the following: required stray light index, required energy consumption index, required carbon emission index;

[0023] The determining the light intensity distribution model according to the light intensity distribution parameter values includes:

[0024] Determine the light intensity distribution model by combining the light intensity distribution parameter values and the other required optimization indexes.

[0025] In an alternative embodiment, the obtaining the required visual effect index corresponding to the current lighting scene includes:

[0026] Obtain the human eye viewing angle characteristics corresponding to the current lighting scene;

[0027] Determine corresponding required visual effect indicators according to the human eye viewing angle characteristics.

[0028] In a second aspect of the embodiments of the present application, there is provided an apparatus for optimizing the light intensity distribution of a light source, which is applied to a lighting device and includes:

[0029] An acquisition module, configured to acquire the required visual effect indicators corresponding to the current lighting scene;

[0030] A determination module, configured to determine corresponding light intensity distribution parameter values according to the required visual effect indicators;

[0031] An optimization module, configured to determine a light intensity distribution model according to the light intensity distribution parameter values; wherein, the light intensity distribution model is used to instruct the lighting device to execute a corresponding light distribution strategy.

[0032] In a third aspect of the embodiments of the present application, there is provided a lighting device, including: a memory and a processor. The processor is configured to execute a computer program stored on the memory. When the processor executes the computer program, each step in the method for optimizing the light intensity distribution of the light source provided in the first aspect of the embodiments of the present application is implemented.

[0033] In a fourth aspect of the embodiments of the present application, there is provided a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each step in the method for optimizing the light intensity distribution of the light source provided in the first aspect of the embodiments of the present application is implemented.

[0034] As can be seen from the above, according to the method, apparatus, device, and storage medium for optimizing the light intensity distribution provided by the solution of the present application, the required visual effect indicators corresponding to the current lighting scene are acquired; corresponding light intensity distribution parameter values are determined according to the required visual effect indicators; a light intensity distribution model is determined according to the light intensity distribution parameter values; wherein, the light intensity distribution model is used to instruct the lighting device to execute a corresponding light distribution strategy. Through the implementation of the solution of the present application, the light intensity distribution of the light source is adaptively adjusted according to the lighting requirements of the user in the actual application scenario to precisely control the light output, which can effectively reduce the ineffective light, improve the user's visual friendliness, and at the same time reduce the energy consumption and carbon emissions of the light source device, achieving the goal of energy conservation and emission reduction.

[0035] It should be understood that the content described in this part is not intended to identify the key or important features of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. Description of the Drawings

[0036] The accompanying drawings exemplarily illustrate embodiments and form a part of the specification, and are used together with the written description of the specification to explain the exemplary embodiments of the embodiments. The shown accompanying drawings are for exemplary purposes only and do not limit the scope of the claims. In all the accompanying drawings, the same reference numerals refer to similar but not necessarily identical elements.

[0037] Figure 1 It is a schematic diagram of the basic process of the light source light intensity distribution optimization method provided by an embodiment of the present application;

[0038] Figure 2 It is a schematic diagram of a light intensity distribution optimization scenario provided by an embodiment of the present application;

[0039] Figure 3 It is a schematic diagram of different light distributions with the same beam angle provided by an embodiment of the present application;

[0040] Figure 4 It is a schematic diagram of the refined process of the light source light intensity distribution optimization method provided by an embodiment of the present application;

[0041] Figure 5 It is a schematic diagram of the functional modules of the light source light intensity distribution optimization device provided by an embodiment of the present application;

[0042] Figure 6 It is a schematic diagram of the structure of a light-emitting device provided by an embodiment of the present application. Detailed Embodiments

[0043] To make the objectives, features, and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present application.

[0044] In the description of the embodiments of the present application, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, "a plurality" means two or more unless otherwise specifically defined. Additionally, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0045] To solve the problems of low user - friendliness, high energy consumption, and high carbon emissions of the light - source devices provided in the related art in the light - emitting application scenarios, an embodiment of the present application provides a method for optimizing the light - intensity distribution of a light source, which can be exemplarily applied to light - emitting devices such as advertising screens, computer display screens, and mobile - terminal display screens, such as Figure 1 This is the basic flowchart of the method for optimizing the light - intensity distribution of the light source provided in this embodiment. The method for optimizing the light - intensity distribution of the light source includes the following steps:

[0046] Step 101: Obtain the required visual - effect indicators corresponding to the current light - emitting scenario.

[0047] In this embodiment, the types of light - emitting scenarios exemplarily include at least one of the following: the light - emitting scenario of an exterior - wall LED advertising screen in an urban space, the light - emitting scenario of a display screen in an office space, and the light - emitting scenario of a display screen of a mobile terminal; and / or, the types of required visual - effect indicators include at least one of the following: the viewing - angle range of the human eye, the intensity contrast, and the light color. In actual applications, due to the differences in the light - emitting scenarios where users are located, the required visual - effect indicators for user - friendliness are also different. The preferred visual - effect indicator in this embodiment is the viewing - angle range of the human eye, and the viewing - angle range includes the viewing - angle range in the vertical direction and / or the viewing - angle range in the horizontal direction. Taking the light - emitting scenario of a display screen in an office space as an example, the required viewing - angle range of the human eye can be 20 degrees left - right and 15 degrees up - down.

[0048] It is worth mentioning that in the actual application scenario, the viewing - angle range of the human eye looking at the light - emitting device is limited, and the general light - source output scheme generally has the problem of unnecessary light spillover. Therefore, in view of the user requirements in the actual application scenario, it is necessary to perform targeted precise regulation of the light - intensity distribution.

[0049] Step 102: Determine the corresponding light - intensity distribution parameter values according to the required visual - effect indicators.

[0050] Specifically, the types of light - intensity distribution parameters in this embodiment include at least one of the following: the light - emitting angle of the light source, the light - emitting intensity of the light source, and the light - beam angle of the light source. It is worth mentioning that these types of light - intensity distribution parameters can achieve the required light - intensity distribution effect independently or in combination.

[0051] In an alternative implementation manner of this embodiment, the above - mentioned determination of the corresponding light - intensity distribution parameter values according to the required visual - effect indicators includes: determining the light - beam angle of the light source according to the required viewing - angle range in the required visual - effect indicators; determining the first light intensity in the light - radiation direction at an angle θ with the central normal of the light source according to the light - beam angle; determining the second light intensity within the light - distribution range according to the required light - emitting intensity in the required visual - effect indicators; and taking the first light intensity, the second light intensity, and the light - beam angle as the light - intensity distribution parameter values.

[0052] Moreover, further, the first light intensity for determining the light radiation direction at an angle θ with the central normal of the light source according to the light source beam angle includes: determining the corresponding light distribution form according to the light source beam angle; wherein, the light distribution form includes symmetric distribution and skewed distribution; determining the first light intensity of the light radiation direction at an angle θ with the central normal of the light source according to the light distribution form.

[0053] In this embodiment, the light-emitting range of the light source (i.e., the beam angle α of the light-emitting device) can be determined according to the viewing angle range requirement, and then it can be determined whether the light distribution form is a symmetric distribution form, a skewed distribution form or other forms according to the light-emitting range of the light source. For example, for an LED screen installed at a height higher than the user's eye level in an urban space, it is assumed that the light rays below the eye level and 60° to the left and right are effective, that is, the light distribution in the horizontal direction is symmetric distribution, and the distribution in the vertical direction is skewed distribution. Then, a corresponding function model I θ = f(I0, θ) can be constructed according to the light distribution characteristics, where I θ represents the first light intensity, θ represents the angle between the light radiation direction and the central normal of the light source, and I0 represents the second light intensity within the light distribution range. Then, the above first light intensity can be calculated based on this function model. If the symmetric distribution is assumed to conform to the Lambertian distribution, then its corresponding light intensity distribution model can be represented by a cosine function model, specifically, it can be expressed as I θ = I0cosθ. In addition, according to the requirement for the luminous intensity in the visual effect index in this embodiment, the second light intensity I0 within the light distribution range can be determined.

[0054] Step 103: Determine the light intensity distribution model according to the light intensity distribution parameter value, and the light intensity distribution model is used to instruct the light-emitting device to execute the corresponding light distribution strategy.

[0055] Continuing the foregoing embodiment, based on the determined light intensity distribution parameter value, a light intensity distribution model V = v(I0, I θ , α) that meets the visual effect requirement can be determined. As Figure 2 shown is a schematic diagram of a light intensity distribution optimization scenario provided in this embodiment. Taking an outdoor display facility as an example, the installation height of the light-emitting device is higher than the human eye. Through the optimized light intensity distribution model, the light-emitting area above the horizontal line (0 - 90°) can be determined as an invalid area, and the light-emitting area below the horizontal line (0 - 90°) can be used as an effective area; the range within 60° to the left and right in the horizontal direction is used as an effective area. Thus, it is ensured that the normal viewing of the human eye is not affected as before without optimization, and moreover, through light distribution optimization, unnecessary light spillage can be avoided, so that the stray light, energy consumption, and carbon emissions of the light-emitting device are all reduced.

[0056] In practical applications, the luminous characteristics of different light sources (such as the order of Lambertian radiation) are different, so the above light intensity distribution model can be further constructed in combination with the luminous characteristics of the light source. Of course, for different light sources with different luminous scenarios and luminous characteristics, their corresponding light source light intensity distribution models are different. The above light source light intensity distribution model in this embodiment is only an example, and it can be determined according to the actual application scenario specifically.

[0057] In an optional implementation manner of this embodiment, after determining the light intensity distribution model according to all the light intensity distribution parameter values, the following steps are further included: calculating the actual indicators corresponding to other required optimization indicators based on the light intensity distribution model; where the other required optimization indicators include at least one of the following: required stray light indicator, required energy consumption indicator, required carbon emission indicator; if the actual indicator exceeds the other required optimization indicator, within the constraint range of the required visual effect indicator, optimize the first light intensity and the second light intensity in the light intensity distribution parameter values to obtain an optimized light intensity distribution model.

[0058] Specifically, through the foregoing steps 101 to 103 of this embodiment, it can be ensured that the optimized light intensity distribution of the light source meets the user's visual effect requirements in the actual application scenario. Although controlling the precise output of the light source light rays based on the user's requirements can avoid unnecessary light spillage to a certain extent, thereby reducing the stray light, light source energy consumption, and carbon emission, whether the reduced levels of stray light, energy consumption, and carbon emission meet the expected levels cannot be fully guaranteed. That is, the previous optimization of the light intensity distribution effectively meets the user's visual effect requirements, and the stray light, energy consumption, and carbon emission are also reduced compared with before optimization. However, the optimization for the visual effect requirements is not the globally optimal solution. Based on this, after optimizing the light intensity distribution of the light source based on the user's visual requirements, in the current luminous scenario, obtain the actual indicators corresponding to other required optimization indicators such as the required stray light indicator, required energy consumption indicator, and required carbon emission indicator, and compare them with the required indicators. If they exceed the required indicators, it means that there is still room for further optimization after the previous optimization of the light intensity distribution of the light source. Then, this embodiment can optimize the light intensity distribution of the light source again to make the finally optimized light intensity distribution of the light source achieve a compromise between the user's visual effect and the stray light level, energy conservation, and emission reduction levels.

[0059] It is worth mentioning that when calculating the actual indicators corresponding to other required optimization indicators, it can be implemented based on a pre-designed calculation model. Among them, the stray light: S = s(I0, I θ , α), the energy consumption: P = P(I0, I θ , α), the carbon emission: E = e(I0, I θ , α).

[0060] Such as Figure 3The following is a schematic diagram of different light distributions with the same beam angle provided by this embodiment. In the figure, the beam angles α of the three light distributions are the same. However, it can be seen that within the beam angle α, there are still multiple schemes for the light intensity distribution. Therefore, by further optimizing the first light intensity I θ and the second light intensity I0, the optimization of overspill light, energy consumption, and carbon emissions can be further achieved, and ultimately the comprehensive optimization of the user's visual effect, overspill light, energy consumption, and carbon emissions can be realized. For the light-emitting scenario of the display screen in the office space, according to the operation requirements of the indoor office scenario, the light intensity distribution of the display screen is optimized, such as 40° up and down, 60° left and right, to ensure that the visual effect of the main viewing angles meets the requirements, and the optimization of overspill light, energy consumption, carbon emissions, privacy protection, etc. is also achieved.

[0061] In an alternative embodiment of this embodiment, the method for optimizing the light intensity distribution of the light source further includes: obtaining other demand optimization indicators corresponding to the current light-emitting scenario; wherein, the other demand optimization indicators include at least one of the following: demand overspill light indicator, demand energy consumption indicator, demand carbon emission indicator. Correspondingly, the above-mentioned determining the light intensity distribution model according to the light intensity distribution parameter values includes: determining the light intensity distribution model by combining the light intensity distribution parameter values and other demand optimization indicators.

[0062] Different from the technical solution provided in the foregoing embodiment, in which the light intensity distribution is first optimized based on the visual effect requirements and then secondarily optimized based on other requirements, this embodiment also provides another comprehensive optimization solution for the light intensity distribution, that is, directly constructing the light intensity distribution model based on multiple optimization indicators to achieve the comprehensive optimization of the light intensity distribution through one optimization.

[0063] In an alternative embodiment of this embodiment, the above-mentioned obtaining the demand visual effect indicators corresponding to the current light-emitting scenario includes: obtaining the human eye viewing angle characteristics corresponding to the current light-emitting scenario; and determining the corresponding demand visual effect indicators according to the human eye viewing angle characteristics.

[0064] Specifically, in different application scenarios, the human eye viewing angle has different characteristics. Preferably, the human eye viewing angle characteristics of this embodiment include the corresponding viewing angle ranges such as the field of view limit, color discrimination limit, best eye rotation area, maximum eye rotation area, natural line of sight when sitting, and natural line of sight when standing. Based on this, the demand visual effect indicators of the user in the current light-emitting scenario can be adaptively determined, effectively ensuring the accuracy of the determined visual effect indicators.

[0065] To better illustrate the embodiments of the present application, an embodiment of the present application also provides a refined method for optimizing the light intensity distribution of the light source, as Figure 4 shown in the following is a schematic diagram of the refined process of the method for optimizing the light intensity distribution of the light source provided by an embodiment of the present application, which specifically includes the following processes:

[0066] Step 401: Obtain the required visual effect indicators corresponding to the current lighting scenario;

[0067] Step 402: Determine the light source beam angle according to the required viewing angle range in the required visual effect indicators;

[0068] Step 403: Determine the first light intensity in the light radiation direction at an angle θ to the central normal of the light source according to the light source beam angle;

[0069] Step 404: Determine the second light intensity within the light distribution range according to the required luminous intensity in the required visual effect indicators;

[0070] Step 405: Determine the light intensity distribution model according to the first light intensity, the second light intensity, and the light source beam angle;

[0071] Step 406: Calculate the actual indicators corresponding to other required optimization indicators based on the light intensity distribution model;

[0072] Step 407: If the actual indicators exceed other required optimization indicators, then within the corresponding constraints of the required visual effect indicators, optimize the first light intensity and the second light intensity in the light intensity distribution parameter values to obtain an optimized light intensity distribution model.

[0073] It should be understood that the magnitudes of the sequence numbers of the steps in this embodiment do not indicate the order of execution of the steps. The order of execution of the steps should be determined according to their functions and internal logics, and should not uniquely limit the implementation process of the embodiments of the present application.

[0074] Figure 5 A light source light intensity distribution optimization device provided in an embodiment of the present application can be used to implement the light source light intensity distribution optimization method in the foregoing embodiment, and mainly includes:

[0075] An acquisition module 501, configured to acquire the required visual effect indicators corresponding to the current lighting scenario;

[0076] A determination module 502, configured to determine the corresponding light intensity distribution parameter values according to the required visual effect indicators;

[0077] An optimization module 503, configured to determine a light intensity distribution model according to the light intensity distribution parameter values; wherein, the light intensity distribution model is used to instruct the lighting device to execute the corresponding light distribution strategy.

[0078] In an alternative implementation of this embodiment, the determining module is specifically configured to: determine the light source beam angle according to the required viewing angle range in the required visual effect index; determine the first light intensity in the light radiation direction at an angle θ with the light source central normal according to the light source beam angle; determine the second light intensity within the light distribution range according to the required luminous intensity in the required visual effect index; and use the first light intensity, the second light intensity, and the light source beam angle as the light intensity distribution parameter values.

[0079] In an alternative implementation of this embodiment, when the determining module executes the function of determining the first light intensity in the light radiation direction at an angle θ with the light source central normal according to the light source beam angle, it is specifically configured to: determine the corresponding light distribution form according to the light source beam angle; where the light distribution form includes symmetric distribution and skewed distribution; and determine the first light intensity in the light radiation direction at an angle θ with the light source central normal according to the light distribution form.

[0080] In an alternative implementation of this embodiment, the optimizing module is further configured to: calculate the actual indexes corresponding to other required optimization indexes based on the light intensity distribution model; where the other required optimization indexes include at least one of the following: required stray light index, required energy consumption index, required carbon emission index; if the actual index exceeds the other required optimization index, then within the constraints corresponding to the required visual effect index, optimize the first light intensity and the second light intensity in the light intensity distribution parameter values to obtain an optimized light intensity distribution model.

[0081] In an alternative implementation of this embodiment, the obtaining module is further configured to: obtain other required optimization indexes corresponding to the current light-emitting scene; where the other required optimization indexes include at least one of the following: required stray light index, required energy consumption index, required carbon emission index. Correspondingly, the optimizing module is specifically configured to: determine the light intensity distribution model in combination with the light intensity distribution parameter values and the other required optimization indexes.

[0082] In an alternative implementation of this embodiment, the obtaining module is specifically configured to: obtain the human eye visual characteristics corresponding to the current light-emitting scene; and determine the corresponding required visual effect index according to the human eye visual characteristics.

[0083] It should be noted that the light source light intensity distribution optimization method in the foregoing method embodiments can all be implemented based on the light source light intensity distribution optimization device provided in this embodiment. Those of ordinary skill in the art can clearly understand that for the convenience and brevity of description, the specific working process of the light source light intensity distribution optimization device described in this embodiment can refer to the corresponding working process in the foregoing method embodiments and will not be elaborated here.

[0084] Based on the technical solution of the embodiment of the present application above, obtain the required visual effect index corresponding to the current lighting scene; determine the corresponding light intensity distribution parameter value according to the required visual effect index; determine the light intensity distribution model according to the light intensity distribution parameter value; wherein, the light intensity distribution model is used to instruct the lighting device to execute the corresponding light distribution strategy. Through the implementation of the solution of the present application, the light intensity distribution of the light source is adaptively adjusted according to the lighting requirements of the user in the actual application scenario to precisely control the light output, which can effectively reduce the ineffective light, improve the user visual friendliness. At the same time, the energy consumption and carbon emission of the light source device are also reduced, achieving the goal of energy conservation and emission reduction.

[0085] Figure 6 A lighting device provided by an embodiment of the present application. This lighting device can be used to implement the light source light intensity distribution optimization method in the foregoing embodiment, and mainly includes: a memory 601 and a processor 602. A computer program 603 that can run on the processor 602 is stored on the memory 601. The memory 601 and the processor 602 are communicatively connected. When the processor 602 executes the computer program 603, the light source light intensity distribution optimization method in the foregoing embodiment is implemented. Among them, the number of processors 602 can be one or more.

[0086] The memory 601 can be a high-speed random access memory (RAM, Random Access Memory), or a non-volatile memory, such as a disk memory. The memory 601 is used to store executable program code, and the processor 602 is coupled to the memory 601.

[0087] Further, an embodiment of the present application also provides a computer-readable storage medium, which can be set in the lighting device in the above embodiments, and the computer-readable storage medium can be the Figure 6 memory shown in the foregoing embodiments.

[0088] A computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the light source light intensity distribution optimization method in the foregoing embodiment is implemented. Further, the computer-readable storage medium can also be various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a RAM, a magnetic disk, or an optical disc that can store program code.

[0089] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or modules can be in electrical, mechanical or other forms.

[0090] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical modules, that is, they can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] In addition, the functional modules in each embodiment of this application can be integrated in a processing module, or each module can exist physically alone, or two or more modules can be integrated in one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0092] If the integrated module is implemented in the form of 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 this 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 enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of this application. And the aforementioned readable storage medium includes: USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical discs and other various media that can store program codes.

[0093] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily all essential to this application.

[0094] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0095] The above is the description of the method, device, equipment and storage medium for optimizing the light intensity distribution of a light source provided by the present application. For those skilled in the art, according to the idea of the embodiments of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for optimizing light intensity distribution of a light source, applied to a light emitting device, characterized in that: include: Get the required visual effect indicators corresponding to the current lighting scene; Determine the corresponding light intensity distribution parameter value according to the required visual effect index; A light intensity distribution model is determined according to the light intensity distribution parameter value; wherein the light intensity distribution model is used to instruct the light emitting device to execute a corresponding light distribution strategy.

2. The method for optimizing light intensity distribution of a light source according to claim 1, characterized in that: The type of the current luminous scene includes at least one of the following: the luminous scene of the exterior wall LED advertising screen in the urban space, the luminous scene of the display screen in the office space, and the luminous scene of the display screen of the mobile terminal; and / or, the type of the required visual effect index includes at least one of the following: the human eye viewing angle range, intensity contrast, and light color.

3. The method for optimizing light intensity distribution of a light source according to claim 1, characterized in that: Determining the corresponding light intensity distribution parameter value according to the required visual effect index includes: Determine the light source beam angle according to the required viewing angle range in the required visual effect index; Determine, according to the light beam angle of the light source, a first light intensity in a radiation direction of a light beam that forms an angle θ with a normal line of a light source center; Determine a second light intensity within the light distribution range according to the required luminous intensity in the required visual effect index; The first light intensity, the second light intensity and the light source beam angle are used as light intensity distribution parameter values.

4. The method for optimizing light intensity distribution of a light source according to claim 3, characterized in that: The first light intensity in the radiation direction of the light that forms an angle θ with the center normal of the light source is determined according to the light source beam angle, comprises: Determine a corresponding light distribution form according to the light source beam angle; wherein the light distribution form includes symmetrical distribution and skewed distribution; A first light intensity in a radiation direction of light rays that forms an angle θ with a normal line of a light source center is determined according to the light distribution form.

5. The method for optimizing light intensity distribution of a light source according to claim 3, characterized in that: After determining the light intensity distribution model according to all the light intensity distribution parameter values, the method further includes: Calculate actual indicators corresponding to other demand optimization indicators based on the light intensity distribution model; wherein the other demand optimization indicators include at least one of the following: a demand spill light indicator, a demand energy consumption indicator, and a demand carbon emission indicator; If the actual index exceeds the other required optimization indexes, then within the constraint range corresponding to the required visual effect index, the first light intensity and the second light intensity in the light intensity distribution parameter value are optimized to obtain an optimized light intensity distribution model.

6. The method for optimizing light intensity distribution of a light source according to claim 1, characterized in that: Also includes: Obtaining other demand optimization indicators corresponding to the current lighting scene; wherein the other demand optimization indicators include at least one of the following: a demand spill light indicator, a demand energy consumption indicator, and a demand carbon emission indicator; Determining the light intensity distribution model according to the light intensity distribution parameter value includes: The light intensity distribution model is determined in combination with the light intensity distribution parameter value and the other required optimization indicators.

7. The method for optimizing light intensity distribution of a light source according to any one of claims 1 to 6, characterized in that: The obtaining of the required visual effect index corresponding to the current lighting scene includes: Obtain the human eye viewing angle characteristics corresponding to the current luminous scene; The corresponding required visual effect index is determined according to the visual angle characteristics of the human eye.

8. A light source intensity distribution optimization device, applied to a light emitting device, characterized in that: include: An acquisition module is used to obtain the required visual effect indicators corresponding to the current lighting scene; A determination module, used to determine a corresponding light intensity distribution parameter value according to the required visual effect index; An optimization module is used to determine a light intensity distribution model according to the light intensity distribution parameter value; wherein the light intensity distribution model is used to instruct the light emitting device to execute a corresponding light distribution strategy.

9. A light emitting device, characterized in that: The device comprises a memory and a processor, wherein: The processor is used to execute the computer program stored in the memory; When the processor executes the computer program, the steps in the method for optimizing the light intensity distribution of a light source as claimed in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method for optimizing the light intensity distribution of a light source as claimed in any one of claims 1 to 7 are implemented.

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