A method, device and computer-readable storage medium for characterizing light source performance

Abstract

The present invention discloses a method, device and computer-readable storage medium for characterizing light source performance. Based on a communication connection with an imaging device, an image of a lighting environment captured by an imaging device is received; the chromaticity value and photometric value corresponding to each pixel point of the lighting environment image are obtained; and the performance evaluation value of the target light source performance at each pixel point on the lighting environment image is visualized and characterized according to the relative performance characteristic model and chromaticity value, and the absolute performance characteristic model and chromaticity value and photometric value. Through the implementation of the present invention, the spectral characteristics of the light source are fully considered, and the light source performance is visualized and characterized based on the correlation between chromaticity and light source performance, so that an accurate evaluation of the light source performance can be achieved, thereby providing effective guidance for light source adjustment and control.

Description

Technical Field

[0001] The present invention relates to the field of lighting technology, and in particular to a method and device for characterizing light source performance, and a computer-readable storage medium. Background Art

[0002] The application of multi-spectral light sources is a future development trend. It has better spectral adjustability and can meet the lighting needs of users in more occasions. At present, for light source applications with multiple colors and variable spectra, although the light source can adjust the lighting parameters, there is a lack of quantitative analysis of real-time light source performance, so the light source adjustment is relatively blind. Therefore, it is necessary to provide an accurate light source performance characterization method to provide effective guidance for light source adjustment control. Summary of the invention

[0003] The main purpose of the embodiments of the present invention is to provide a method, device and computer-readable storage medium for characterizing light source performance, which can at least solve the problem of lack of effective evaluation of the performance of multi-spectral light sources in related technologies.

[0004] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present invention provides a method for characterizing light source performance, which is applied to a lighting device provided with a multi-spectrum light source. The method comprises:

[0005] Based on the communication connection with the imaging device, receiving the lighting environment image captured by the imaging device;

[0006] Obtaining the chromaticity value and the luminosity value corresponding to each pixel point of the lighting environment image;

[0007] According to the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the luminous value, the performance evaluation value of the target light source performance at each pixel point on the lighting environment image is visualized; wherein the relative performance characteristic model is constructed based on a first correlation relationship between the spectral characteristic information and the chromaticity value of the multi-spectral light source, and a second correlation relationship between the spectral characteristic information and the performance evaluation value; the absolute performance characteristic model is constructed based on a third correlation relationship between the spectral characteristic information and the luminous value, and the first correlation relationship and the second correlation relationship.

[0008] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present invention provides a light source performance characterization device, which is applied to a lighting device provided with a multi-spectrum light source, and the device includes:

[0009] A receiving module, configured to receive an image of a lighting environment captured by the imaging device based on a communication connection with the imaging device;

[0010] An acquisition module, used to acquire the chromaticity value and the luminance value corresponding to each pixel point of the lighting environment image;

[0011] A characterization module is used to visualize the performance evaluation value of the target light source performance at each pixel point on the lighting environment image based on a relative performance characteristic model and the chromaticity value, and an absolute performance characteristic model and the chromaticity value and the luminance value; wherein the relative performance characteristic model is constructed based on a first association relationship between the spectral characteristic information and the chromaticity value of the multi-spectral light source, and a second association relationship between the spectral characteristic information and the performance evaluation value; and the absolute performance characteristic model is constructed based on a third association relationship between the spectral characteristic information and the luminance value, and the first association relationship and the second association relationship.

[0012] To achieve the above object, a third aspect of an embodiment of the present invention provides an electronic device, the electronic device comprising: a processor, a memory and a communication bus;

[0013] The communication bus is used to realize the connection and communication between the processor and the memory;

[0014] The processor is used to execute one or more programs stored in the memory to implement the steps of any one of the above-mentioned light source performance characterization methods.

[0015] To achieve the above objectives, the fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, which stores one or more programs. The one or more programs can be executed by one or more processors to implement the steps of any one of the above-mentioned light source performance characterization methods.

[0016] According to the method, device and computer-readable storage medium for characterizing light source performance provided by the embodiment of the present invention, based on the communication connection with the imaging device, the lighting environment image taken by the imaging device is received; the chromaticity value and photometric value corresponding to each pixel point of the lighting environment image are obtained; and the performance evaluation value of the target light source performance at each pixel point on the lighting environment image is visualized and characterized according to the relative performance characteristic model and chromaticity value, and the absolute performance characteristic model and chromaticity value and photometric value. Through the implementation of the present invention, the spectral characteristics of the light source are fully considered, and the light source performance is visualized and characterized based on the correlation between chromaticity and light source performance, so that the accurate evaluation of the light source performance can be achieved, thereby providing effective guidance for the adjustment and control of the light source.

[0017] Other features and corresponding effects of the present invention are described in the latter part of the specification, and it should be understood that at least part of the effects become obvious from the description in the specification of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A schematic diagram of the basic flow of the method for characterizing light source performance provided by the first embodiment of the present invention;

[0020] Figure 2 A schematic diagram for visualizing the performance of a light source provided by the first embodiment of the present invention;

[0021] Figure 3 A performance characterization chromaticity diagram provided for the first embodiment of the present invention;

[0022] Figure 4 A schematic diagram of a program module of a light source performance characterization device provided in a second embodiment of the present invention;

[0023] Figure 5 A schematic structural diagram of an electronic device provided in a third embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0025] First embodiment:

[0026] In order to solve the problem of lack of effective evaluation of the performance of multi-spectrum light sources in the related art, this embodiment proposes a light source performance characterization method, which is applied to a lighting device equipped with a multi-spectrum light source. The different spectrum light sources can be monochromatic spectrum light sources or mixed spectrum light sources, such as Figure 1 The figure is a basic flow chart of the method for characterizing light source performance provided in this embodiment. The method for characterizing light source performance provided in this embodiment includes the following steps:

[0027] Step 101: Receive a lighting environment image captured by an imaging device based on a communication connection with the imaging device.

[0028] Specifically, the imaging device of this embodiment can be an imaging component configured in the lighting device itself, or can be an external terminal device such as a mobile phone. In this embodiment, the basic image for characterizing the performance of the light source is an image taken of the environment illuminated by the lighting device.

[0029] Step 102: Obtain the chromaticity value and luminosity value corresponding to each pixel point of the lighting environment image.

[0030] In this embodiment, the pixel information of each pixel point of the lighting environment image is associated with the chromaticity information and the luminance information corresponding to each spectral channel of the multi-spectral light source.

[0031] In an optional implementation of the present embodiment, before the above-mentioned step of obtaining the corresponding chromaticity value and luminance value of each pixel point of the lighting environment image, it also includes: obtaining the chromaticity value and luminance value of the reference pixel point on the lighting environment image; and correcting all pixel points on the lighting environment image according to the chromaticity value and luminance value of the reference pixel point.

[0032] Specifically, after capturing the image of the lighting scene, this embodiment performs calibration based on the luminosity and chromaticity formed by the reference point (i.e., the point of interest), and then calibrates the results of each lighting pixel point in the entire shooting scene to correct the image parameters and improve the accuracy of the performance characterization results.

[0033] Step 103: Visually represent the performance evaluation value of the target light source performance at each pixel point on the lighting environment image according to the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the luminosity value.

[0034] Specifically, the relative performance characteristic model is constructed based on the first correlation between the spectral characteristic information and the chromaticity value of the multi-spectral light source, and the second correlation between the spectral characteristic information and the performance evaluation value; the absolute performance characteristic model is constructed based on the third correlation between the spectral characteristic information and the luminosity value, and the first correlation and the second correlation. Figure 2 The figure shows a schematic diagram of a visual representation of light source performance provided in this embodiment. Since the target representation image is an image of a lighting scene taken in a lighting environment, each pixel in the image has light and chromaticity information. The image can be understood as a pseudo-chromaticity diagram. A visual evaluation can be performed based on the function model of each performance evaluation value and the luminance and chromaticity or the corresponding database under the current lighting environment.

[0035] This embodiment takes the relative performance characteristic model as an example to specifically explain the establishment of the model. In this embodiment, the first correlation relationship can be expressed by the function relationship (x, y) = f (PW, FWHM), where (x, y) is the chromaticity value, PW is the peak wavelength, and FWHM is the half width. For the selected composite light source, it can be divided into m spectra with PW and FWHM, where m ≥ 2, forming (xm ,y m )=f(PW m ,FWHM m ), where (x m ,y m ) refers to the chromaticity value corresponding to the mth spectrum, PW m 、FWHM m It refers to the PW and FWHM of the mth spectrum. In addition, the second correlation relationship can be expressed by the function relationship (L, S, H) = f(PW, FWHM), where L is brightness / brightness, S is saturation / purity / color, H is hue / tone, PW is peak wavelength, and FWHM is half width. For the selected composite light source, it can be divided into m spectra with PW and FWHM, where m≥2, forming (L, S, H) = f(PW m ,FWHM m ).

[0036] Furthermore, the relative performance characteristic model of this embodiment can adopt the functional relationship P=f(x, y, Y, E n ) represents, where P is the light source performance evaluation information, x and y are the chromaticity coordinates, Y is the brightness, E is the environmental characteristic parameter, and n refers to the parameter influence formed by the nth environmental characteristic. The function model can be various color gamut spaces, and the corresponding function expression can be converted to the corresponding chromaticity space.

[0037] In addition, the relative performance characteristic model of this embodiment can also take the form of a functional relationship P=f(L,S,H), where P is the light source performance evaluation information, L is brightness / brightness, S is saturation / purity / color, and H is hue / tone.

[0038] It should be noted that, in this embodiment, the light source performance may include: the performance of the light source itself (which can be understood as the source end performance) or the environmental lighting performance (which can be understood as the object end performance). Further, the light source performance itself may include any one of the following: brightness, contrast, spectral radiation efficiency, color rendering, rhythmic effect, intermediate visual effect, species effect; the environmental lighting performance may include any one of the following: illumination, brightness, contrast, light color contrast, recognition, spectral reflection radiation efficiency, light color effect, photosynthesis efficiency, species effect, rhythmic effect, intermediate visual effect, comfort, fatigue, preference, optogenetic effect, blue light damage effect.

[0039] In an optional implementation of the present embodiment, before the above-mentioned step of visually representing the performance evaluation value of the target light source performance at each pixel point on the lighting environment image according to the relative performance characteristic model and chromaticity value, and the absolute performance characteristic model and chromaticity value and luminous value, it also includes: obtaining environmental attribute information of the current lighting environment; wherein the environmental attribute information includes: optical properties of the working surface material, optical properties of the working surface material, ambient light information, and orientation information of the irradiated surface relative to the lighting device; and selecting the relative performance characteristic model and the absolute performance characteristic model based on the environmental attribute information.

[0040] Specifically, in actual applications, the work surface can be, for example, a desktop in a lighting environment, and the operation surface can be the surface of an object such as a book on the desktop. In this embodiment, the first association relationship and the second association relationship for constructing different relative performance characteristic models are different, and the first association relationship, the second association relationship and the third association relationship for constructing different absolute performance characteristic models are different. This embodiment constructs different performance characteristic models for adaptability to different lighting environments, which can be specifically reflected in that the model construction principle is the same, but the values ​​of the correlation coefficients in the models are different. Therefore, the model selected for performance characterization is adapted to different lighting environments, and the accuracy of performance characterization can be effectively guaranteed.

[0041] In an optional implementation of the present embodiment, after the above-mentioned step of visually representing the performance evaluation value of the target light source performance at each pixel point on the lighting environment image, it also includes: calculating the overall performance evaluation value of the region of interest based on the performance evaluation values ​​of all pixels in the region of interest on the visual representation image; comparing the overall performance evaluation value with the target performance threshold; when the overall performance evaluation value does not meet the target performance threshold requirement, controlling the corresponding spectral channel of the multi-spectral light source to adjust the parameters based on the target light source control parameter. Wherein, when the performance excellence is positively correlated with the performance evaluation value, the target performance threshold is required to be higher than the target performance threshold, and when the performance excellence is negatively correlated with the performance evaluation value, the target performance threshold is required to be lower than the target performance threshold.

[0042] Specifically, in this embodiment, the performance evaluation value of each pixel point in a specific area on the visual representation image can be integrated and calculated to obtain the overall performance evaluation value of the area. If the overall performance evaluation value does not meet the target performance threshold requirement, it means that the current lighting performance does not meet the user's usage needs. This embodiment then triggers the light source parameter adjustment control to adjust the absolute intensity ratio and relative intensity ratio of the corresponding spectral channel of the light source to achieve light source performance optimization.

[0043] Furthermore, in an optional implementation manner of this embodiment, the above-mentioned target light source control parameter is determined in the following ways:

[0044] Method 1: obtaining a target photometric value and a target chromaticity value associated with a target performance threshold; and determining a target light source control parameter based on the target photometric value and the target chromaticity value.

[0045] Specifically, the target performance threshold of this embodiment is usually a standard performance value that meets the actual usage needs of users. This embodiment can obtain the corresponding photometric value and chromaticity value through the performance value, and then set the light source control parameters of the current light source adjustment control according to the standard photometric value and chromaticity value.

[0046] Method 2: Generate a performance representation chromaticity diagram based on the performance evaluation values ​​of all pixels on the visual representation image; obtain the color gamut range of the target performance level from the performance representation chromaticity diagram; and determine the target light source control parameters based on the target luminance value and target chromaticity value corresponding to the color gamut range.

[0047] like Figure 3 The figure shows a performance characterization chromaticity diagram provided by the present embodiment. In the present embodiment, based on the correspondence between each pixel point on the visual characterization image and the performance evaluation value, the visual characterization image is further converted into a performance characterization chromaticity diagram, and then threshold values ​​corresponding to different performance levels can be formulated according to the performance quality (such as threshold 1 and threshold 2 in the figure), and then the performance evaluation values ​​on the performance characterization chromaticity diagram can be graded by multiple thresholds, thereby dividing the performance characterization chromaticity diagram into multiple color gamut ranges, and the multiple color gamut ranges correspond to different performance levels. In practical applications, the color gamut range of a specific performance level (such as the highest performance level) can be selected according to actual use requirements, and then the light source control parameters can be set corresponding to the luminance and chromaticity of this color gamut range.

[0048] It should be noted that in actual applications, light source performance may be of different types. In this implementation, after the performance evaluation values ​​on the performance characterization chromaticity diagram of a specific performance type are graded to obtain multiple color gamut ranges, the color gamut range division results of the performance characterization chromaticity diagram corresponding to other types of light source performance may be continued to be called, and then the color gamut range division results corresponding to the current performance characterization chromaticity diagram and the color gamut range division results corresponding to other types of light source performance may be combined to obtain overlapping color gamut ranges with the same performance level. Finally, the current performance characterization chromaticity diagram may be re-divided into multiple color gamut ranges with reference to the overlapping color gamut range.

[0049] In this embodiment, considering that controlling the light source based only on the color gamut range division result of a single performance may lead to the optimization of the performance of one light source while the performance of another light source is weakened, in specific practice, this embodiment integrates the color gamut range division results of multiple light source performances to obtain a common color gamut area (that is, overlapping color gamut range) with the same performance level in multiple aspects, and then further re-divides the color gamut range of the performance characterization image of the current ambient lighting performance. Finally, the color gamut range at this performance level is the color gamut range with the best performance for multiple performances, so that the light source control parameters determined based on the color gamut range can achieve coordinated optimization of the performance of multiple light sources.

[0050] Method three, based on the performance evaluation values ​​of all pixels on the visual representation image, generate a performance representation chromaticity diagram; when receiving a control instruction input for the performance representation chromaticity diagram, determine the target light source control parameters by referring to the target luminance value and target chromaticity value corresponding to the color gamut range of the control instruction.

[0051] In addition, in this embodiment, the user can also manually operate to set the light source control parameters. Specifically, in this embodiment, the performance characterization chromaticity diagram can be output through a display component on the lighting device, or through a terminal device (such as a mobile phone, etc.) that is connected to the lighting device for communication. The user can perceive the performance of the light source based on the performance characterization chromaticity diagram, and can select a color gamut range of a specific performance level on the image by himself, and then the lighting device determines the light source control parameters based on the color gamut range.

[0052] Furthermore, in an optional implementation of the present embodiment, before the above-mentioned step of comparing the overall performance evaluation value with the target performance threshold, it also includes: obtaining current lighting scene information, wherein the lighting scene information includes: weather, season, time; obtaining a light source performance preference index based on the lighting scene information; and correspondingly determining the target performance threshold based on the light source performance preference index.

[0053] Specifically, the present embodiment takes into account that the lighting scenes under the same lighting environment change dynamically. With the change of time periods during the day, seasons, and climate, the lighting conditions are usually different, and accordingly, the user's performance requirements for the brightness, color temperature, rhythmic changes, etc. of the lighting environment are also adaptable to different. Therefore, the present embodiment determines the performance threshold of the light source adjustment control in real time according to the lighting scene to ensure that the light source adjustment control is more adapted to actual usage needs, thereby achieving more accurate light source adjustment control.

[0054] According to the method for characterizing light source performance provided by an embodiment of the present invention, based on the communication connection with the imaging device, the lighting environment image captured by the imaging device is received; the chromaticity value and the photometric value corresponding to each pixel point of the lighting environment image are obtained; and the performance evaluation value of the target light source performance at each pixel point on the lighting environment image is visualized and characterized according to the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the photometric value. Through the implementation of the present invention, the spectral characteristics of the light source are fully considered, and the light source performance is visualized and characterized based on the correlation between chromaticity and light source performance, so that the accurate evaluation of the light source performance can be realized, thereby providing effective guidance for the adjustment and control of the light source.

[0055] Second embodiment:

[0056] In order to solve the problem of lack of effective evaluation of the performance of multi-spectrum light sources in the related art, this embodiment shows a light source performance characterization device, which is applied to a lighting device equipped with a multi-spectrum light source. Figure 4 , the light source performance characterization device of this embodiment specifically includes:

[0057] The receiving module 401 is used to receive the lighting environment image taken by the imaging device based on the communication connection with the imaging device;

[0058] An acquisition module 402 is used to acquire the chromaticity value and the luminance value corresponding to each pixel point of the lighting environment image;

[0059] The characterization module 403 is used to visualize the performance evaluation value of the target light source performance at each pixel point on the lighting environment image based on the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the luminance value; wherein the relative performance characteristic model is constructed based on the first correlation relationship between the spectral characteristic information of the multi-spectral light source and the chromaticity value, and the second correlation relationship between the spectral characteristic information and the performance evaluation value; the absolute performance characteristic model is constructed based on the third correlation relationship between the spectral characteristic information and the luminance value, as well as the first correlation relationship and the second correlation relationship.

[0060] In some implementations of the present embodiment, the light source performance characterization device also includes: a correction module, which is used to: obtain the chromaticity value and luminance value of the reference pixel point on the lighting environment image before obtaining the corresponding chromaticity value and luminance value of each pixel point of the lighting environment image; and correct all pixel points on the lighting environment image according to the chromaticity value and luminance value of the reference pixel point.

[0061] In some implementations of the present embodiment, the light source performance characterization device also includes: a selection module, which is used to: obtain environmental attribute information of the current lighting environment before visually characterizing the performance evaluation value of the target light source performance at each pixel point on the lighting environment image based on the relative performance characteristic model and chromaticity value, and the absolute performance characteristic model and chromaticity value, luminance value; and select the relative performance characteristic model and the absolute performance characteristic model based on the environmental attribute information.

[0062] In some implementations of the present embodiment, the light source performance characterization device also includes: a control module, which is used to: after visually representing the performance evaluation value of the target light source performance at each pixel point on the lighting environment image, calculate the overall performance evaluation value of the region of interest based on the performance evaluation values ​​of all pixel points within the region of interest on the visually represented image; compare the overall performance evaluation value with the target performance threshold; and when the overall performance evaluation value does not meet the target performance threshold requirement, control the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters.

[0063] Furthermore, in some implementations of the present embodiment, the control module is also used to: obtain target photometric values ​​and target chromaticity values ​​associated with the target performance threshold before controlling the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters; and determine the target light source control parameters based on the target photometric values ​​and the target chromaticity values.

[0064] Furthermore, in some other implementations of this embodiment, the control module is also used to: generate a performance characterization chromaticity diagram based on the performance evaluation values ​​of all pixels on the visual representation image before controlling the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters; obtain the color gamut range of the target performance level from the performance characterization chromaticity diagram; and determine the target light source control parameters based on the target luminance value and the target chromaticity value corresponding to the color gamut range.

[0065] Furthermore, in some other implementations of the present embodiment, the control module is also used to: generate a performance characterization chromaticity diagram based on the performance evaluation values ​​of all pixels on the visual representation image before controlling the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters; and determine the target light source control parameters by referring to the target luminance value and target chromaticity value corresponding to the color gamut range of the control instruction when receiving a control instruction input for the performance characterization chromaticity diagram.

[0066] Furthermore, in some other implementations of this embodiment, the control module is also used to: obtain current lighting scene information before comparing the overall performance evaluation value with the target performance threshold, wherein the lighting scene information includes: weather, season, and time; obtain a light source performance preference index based on the lighting scene information; and determine the target performance threshold accordingly based on the light source performance preference index.

[0067] It should be noted that the light source performance characterization methods in the aforementioned embodiments can all be implemented based on the light source performance characterization device provided in this embodiment. Ordinary technicians in the relevant field can clearly understand that for the convenience and conciseness of description, the specific working process of the light source performance characterization device described in this embodiment can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0068] The light source performance characterization device provided in this embodiment is used to receive the lighting environment image taken by the imaging device based on the communication connection with the imaging device; the chromaticity value and the photometric value corresponding to each pixel point of the lighting environment image are obtained; and the performance evaluation value of the target light source performance at each pixel point on the lighting environment image is visualized and represented according to the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the photometric value. Through the implementation of the present invention, the spectral characteristics of the light source are fully considered, and the light source performance is visualized and represented based on the correlation between chromaticity and light source performance, so that the accurate evaluation of the light source performance can be realized, thereby providing effective guidance for the adjustment and control of the light source.

[0069] Third embodiment:

[0070] This embodiment provides an electronic device, see Figure 5 As shown, it includes a processor 501, a memory 502 and a communication bus 503, wherein: the communication bus 503 is used to realize the connection and communication between the processor 501 and the memory 502; the processor 501 is used to execute one or more computer programs stored in the memory 502 to implement at least one step in the light source performance characterization method in the above-mentioned embodiment 1.

[0071] The present embodiment also provides a computer-readable storage medium, which includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program modules or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer.

[0072] The computer-readable storage medium in this embodiment can be used to store one or more computer programs, and the one or more computer programs stored therein can be executed by a processor to implement at least one step of the method in the above-mentioned embodiment 1.

[0073] This embodiment also provides a computer program that can be distributed on a computer-readable medium and executed by a computing device to implement at least one step of the method in the above-mentioned embodiment one; and in some cases, at least one step shown or described can be executed in an order different from that described in the above-mentioned embodiment.

[0074] This embodiment further provides a computer program product, including a computer readable device, on which the computer program as shown above is stored. In this embodiment, the computer readable device may include the computer readable storage medium as shown above.

[0075] It can be seen that those skilled in the art should understand that all or some of the steps, systems, and functional modules / units in the above disclosed methods can be implemented as software (which can be implemented with computer program code executable by a computing device), firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component can have multiple functions, or a function or step can be performed by several physical components in cooperation. Some or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit.

[0076] In addition, it is well known to those skilled in the art that communication media generally contain computer readable instructions, data structures, computer program modules or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery media. Therefore, the present invention is not limited to any specific hardware and software combination.

[0077] The above contents are further detailed descriptions of the embodiments of the present invention in combination with specific implementation methods, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. A method for characterizing light source performance, applied to a lighting device equipped with a multi-spectrum light source, characterized in that: include: Based on the communication connection with the imaging device, receiving the lighting environment image captured by the imaging device; Obtaining the chromaticity value and the luminosity value corresponding to each pixel point of the lighting environment image; According to the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the luminous value, the performance evaluation value of the target light source performance at each pixel point on the lighting environment image is visualized; wherein the relative performance characteristic model is constructed based on a first correlation relationship between the spectral characteristic information and the chromaticity value of the multi-spectral light source, and a second correlation relationship between the spectral characteristic information and the performance evaluation value; the absolute performance characteristic model is constructed based on a third correlation relationship between the spectral characteristic information and the luminous value, and the first correlation relationship and the second correlation relationship; the first correlation relationship is a function relationship (x, y) = f(PW, FWHM), the second correlation relationship is a function relationship (L, S, H) = f(PW, FWHM), (x, y) is a chromaticity value, L is at least one of brightness and lightness, S is at least one of saturation, purity, and chroma, H is at least one of hue and hue, PW is a peak wavelength, and FWHM is a half width.

2. The method for characterizing light source performance according to claim 1, characterized in that: Light source performance includes: light source performance itself or ambient lighting performance.

3. The method for characterizing light source performance according to claim 2, wherein: The light source's own performance includes any one of the following: brightness, contrast, spectral radiation efficiency, color rendering, rhythmic effect, intermediate visual effect, species effect; The environmental lighting performance includes any one of the following: illumination, brightness, contrast, light color contrast, recognition, spectral reflection radiation efficiency, light color effect, photosynthesis efficiency, species action effect, rhythmic effect, intermediate visual effect, comfort, fatigue, preference, optogenetic effect, and blue light damage effect.

4. The method for characterizing light source performance according to claim 1, wherein: Before the step of obtaining the chromaticity value and the photometric value corresponding to each pixel point of the lighting environment image, the method further includes: Obtaining the chromaticity value and the luminosity value of the reference pixel point on the lighting environment image; All pixels on the lighting environment image are corrected according to the chromaticity value and the luminance value of the reference pixel.

5. The method for characterizing light source performance according to claim 1, wherein: Before the step of visually representing the performance evaluation value of the target light source performance at each pixel point on the lighting environment image according to the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the luminosity value, the step further includes: Acquire environmental attribute information of the current lighting environment; wherein the environmental attribute information includes: optical properties of the work surface material, optical properties of the working surface material, ambient light information, and orientation information of the irradiated surface relative to the lighting device; The relative performance characteristic model and the absolute performance characteristic model are selected accordingly based on the environmental attribute information.

6. The method for characterizing light source performance according to any one of claims 1 to 5, characterized in that: After the step of visually representing the performance evaluation value of the target light source performance at each pixel point on the lighting environment image, the method further includes: Calculate the overall performance evaluation value of the region of interest based on the performance evaluation values ​​of all pixels in the region of interest on the visual representation image; comparing the overall performance evaluation value with a target performance threshold; When the overall performance evaluation value does not meet the target performance threshold requirement, the corresponding spectral channels of the multi-spectral light source are controlled to adjust parameters based on the target light source control parameters; wherein, when the performance excellence is positively correlated with the performance evaluation value, the target performance threshold requirement is higher than the target performance threshold, and when the performance excellence is negatively correlated with the performance evaluation value, the target performance threshold requirement is lower than the target performance threshold.

7. The method for characterizing light source performance according to claim 6, wherein: Before the step of controlling the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters, the method further includes: Obtaining a target photometric value and a target chromaticity value associated with the target performance threshold; The target light source control parameter is determined based on the target photometric value and the target chromaticity value.

8. The method for characterizing light source performance according to claim 6, wherein: Before the step of controlling the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters, the method further includes: Generating a performance representation chromaticity diagram based on the performance evaluation values ​​of all pixels on the visual representation image; Obtaining a color gamut range of a target performance level from the performance characterization chromaticity diagram; The target light source control parameter is determined based on the target photometric value and the target chromaticity value corresponding to the color gamut range.

9. The method for characterizing light source performance according to claim 6, wherein: Before the step of controlling the corresponding spectral channels of the multi-spectral light source to adjust parameters based on the target light source control parameters, the method further includes: Generating a performance representation chromaticity diagram based on the performance evaluation values ​​of all pixels on the visual representation image; When a control instruction inputted for the performance characterization chromaticity diagram is received, the target light source control parameter is determined by referring to the target photometric value and the target chromaticity value corresponding to the color gamut range affected by the control instruction.

10. The method for characterizing light source performance according to claim 6, wherein: Before the step of comparing the overall performance evaluation value with the target performance threshold, the method further includes: Acquire current lighting scene information; wherein the lighting scene information includes: weather, season, and time; Acquire a light source performance preference index based on the lighting scene information; The target performance threshold is determined accordingly based on the light source performance preference indicator.

11. A light source performance characterization device, characterized in that: Applicable to lighting equipment with multi-spectrum light sources, including: A receiving module, configured to receive an image of a lighting environment captured by the imaging device based on a communication connection with the imaging device; An acquisition module, used to acquire the chromaticity value and the luminance value corresponding to each pixel point of the lighting environment image; A characterization module is used to visualize the performance evaluation value of the target light source performance at each pixel on the lighting environment image based on the relative performance characteristic model and the chromaticity value, and the absolute performance characteristic model and the chromaticity value and the luminous value; wherein the relative performance characteristic model is constructed based on a first correlation relationship between the spectral characteristic information and the chromaticity value of the multi-spectral light source, and a second correlation relationship between the spectral characteristic information and the performance evaluation value; the absolute performance characteristic model is constructed based on a third correlation relationship between the spectral characteristic information and the luminous value, and the first correlation relationship and the second correlation relationship; the first correlation relationship is a function relationship (x, y) = f(PW, FWHM), the second correlation relationship is a function relationship (L, S, H) = f(PW, FWHM), (x, y) is a chromaticity value, L is at least one of brightness and lightness, S is at least one of saturation, purity, and chroma, H is at least one of hue and hue, PW is a peak wavelength, and FWHM is a half width.

12. An electronic device, characterized in that: include: processor, memory, and communications bus; The communication bus is used to realize the connection and communication between the processor and the memory; The processor is used to execute one or more programs stored in the memory to implement the steps of the light source performance characterization method as described in any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the light source performance characterization method as described in any one of claims 1 to 10.

Images