Spatial light color evaluation method of LED device, electronic equipment and storage medium

Abstract

According to the spatial light color evaluation method, the electronic equipment and the storage medium provided by the invention, through a three-dimensional detection mode, optical parameters on a plurality of detection tracks in different directions on a hemispherical surface taking an LED device as a sphere center are collected, and the detection range can fully cover each light emitting direction of the LED device; and furthermore, weighted average color temperature is obtained by adopting a weighted average method in combination with the light intensity, so that the overall color temperature difference sensed by human eyes is accurately reflected, and finally, the spatial color temperature difference value obtained through calculation can effectively reflect the light color uniformity.

Description

Technical Field

[0001] The invention relates to the field of semiconductor technology, and in particular to a method for evaluating the spatial light color of an LED device, an electronic device, and a storage medium. Background Art

[0002] The implementation method of white light LED devices at home and abroad is mainly the "blue light LED chip + phosphor layer" solution, in which the phosphor layer is obtained by mixing "yellow / green / red phosphor + silica gel" and "coated" on the light-emitting surface of the blue light chip through certain process technology. The white light LED devices made in this way can meet the needs of most white light lighting application scenarios. However, there are still deficiencies in electronic digital imaging application scenarios such as videography, photography, and machine vision, which have higher requirements for "spatial light color uniformity". For example: Chinese patents CN201611083244 (an LED packaging structure and its preparation method) and CN201922429405 (a white light LED chip) all mentioned the "abnormal light spot and light color unevenness" of white light LED devices.

[0003] At present, the main method for measuring "light spot color unevenness" in the laboratory is to transmit the emitted light of the white light LED device on a white background to observe whether the circular light spot shows abnormal light color unevenness such as "blue in the middle and yellow in the outer circle" or "white in the middle and yellow in the outer circle". Although this manual method can identify abnormalities to a certain extent, in fields with more stringent requirements for light color uniformity, a more accurate method for determining light color uniformity has become a demand. Summary of the invention

[0004] In order to overcome the above shortcomings, the present invention provides a spatial light color evaluation method of an LED device, an electronic device, and a storage medium, which effectively solve the problem that the light color uniformity of existing LED devices cannot be accurately and quantitatively calculated.

[0005] The technical solution provided by the present invention is: In one aspect, the present invention provides a method for evaluating the spatial light color of an LED device, comprising: Provide LED devices and light them up; Based on at least one preset detection track, optical characteristic parameters of different detection points above the light-emitting surface of the LED device are detected, wherein the optical characteristic parameters include color temperature and light intensity; the detection points included in the detection track are located on a semicircular track with the LED device as the center; The weighted average color temperature is obtained by weighted averaging the optical characteristic parameters of different detection points on the detection trajectory; A spatial color temperature difference is calculated according to the weighted average color temperature and the center color temperature, wherein the center color temperature is a color temperature value detected by a detection point located directly above the LED device in the detection trajectory; The spatial light color of the LED device is evaluated according to the spatial color temperature difference.

[0006] On the other hand, the present invention provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the spatial light color evaluation method as described above.

[0007] In yet another aspect, the present invention provides a storage medium, wherein at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor to implement the above-mentioned spatial light color evaluation method.

[0008] The spatial light color evaluation method, electronic device, and storage medium of the LED device provided by the present invention collect optical parameters on multiple detection tracks in different directions on a hemispherical surface with the LED device as the center through a three-dimensional detection method, and the detection range can fully cover all light-emitting directions of the LED device; and further combine the light intensity to obtain the weighted average color temperature by using the weighted average method, accurately reflecting the overall color temperature difference felt by the human eye, and the spatial color temperature difference finally calculated can effectively reflect the light color uniformity; for example, when the spatial color temperature difference is less than the preset threshold, it means that the light color uniformity of the LED device is good, and the light color performance of each area is relatively consistent; on the contrary, when the spatial color temperature difference is greater than the preset threshold, it indicates that the light color of the LED device in certain areas may have a large deviation, which needs further optimization and improvement. The quantitative calculation of light color uniformity can accurately and objectively reflect the degree of light color consistency of the LED device in the entire space; and avoid the errors that may be caused by subjective evaluation of the human eye. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 Schematic diagram of the flow of a spatial light color evaluation method in one embodiment of the present invention; Figure 2 It is a Lambertian light intensity distribution curve; Figure 3 A schematic diagram of a detection trajectory in one embodiment of the present invention; Figure 4 is a schematic diagram of the structure of an LED device used in an example of the present invention; Figure 5 is a spatial light intensity distribution curve diagram and a spatial color temperature distribution curve diagram of LED device A; Figure 6 is a spatial light intensity distribution curve diagram and a spatial color temperature distribution curve diagram of LED device B; Figure 7 is a spatial light intensity distribution curve diagram and a spatial color temperature distribution curve diagram of LED device C; Figure 8 It is a structural schematic diagram of an electronic device of the present invention.

[0010] Reference numerals: 10-LED device to be tested, 11-ceramic substrate, 12-flip-chip blue light chip, 13-white glue, 14-fluorescent film, 15-light-homogenizing layer, 16-lens, 20-light detector, 30-XYZ coordinate axis, C21 is the detection track in the direction of 0°-180°, C22 is the detection track in the direction of 90°-270°, 100-electronic device, 110-processor, 120-memory, 121-computer program. DETAILED DESCRIPTION

[0011] In order to more clearly illustrate the implementation cases of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings and other implementation methods can be obtained based on these drawings without creative work.

[0012] An embodiment of the present invention is a method for evaluating the spatial light color of an LED device, such as Figure 1 As shown, the steps include: S10 supplies the LED device and lights it up.

[0013] Fix the LED device to be tested on the test platform so that the LED device can emit light normally. It should be understood that the test environment is generally closed to ensure that only the LED device to be tested emits light on the test platform to avoid external ambient light affecting the detection results. This embodiment does not limit the internal structure of the LED device used. LEDs in bracket packages, CSP packages, etc. can be used as long as the LED device emits light in space as a point light source. In one example, Figure 2 As shown in the figure, the light intensity distribution of the LED device satisfies the "Lambertian light intensity distribution" (or "quasi-Lambertian light intensity distribution"), that is, a spherical (or quasi-spherical) light intensity distribution. In the space above the LED device, as the angle deviates from the normal direction, the light intensity gradually decreases. When the angle between the light and the normal is 0°, the light intensity is at its maximum. The relative light intensity at each angle is represented by the length of the straight line from the LED device. As the angle deviates further from the normal direction, the straight line becomes shorter and shorter. The ends of the straight lines at different angles are connected to form Figure 2 The circle in the.

[0014] S20 detects optical characteristic parameters of different detection points above the light-emitting surface of the LED device based on at least one preset detection trajectory, where the optical characteristic parameters include color temperature and light intensity; the detection points included in the detection trajectory are located on a semicircular trajectory with the LED device as the center.

[0015] The preset detection track is a semicircular track with the LED device as the center, which detects the light emitted by the LED device to the space above the horizontal plane, and the plane where the detection track is located is perpendicular to the horizontal plane. During the detection process, a light detector can be used to move along the detection track and detect at each detection point at regular intervals. It is also possible to use a method of evenly distributing multiple light detectors at each monitoring point on the detection track to detect the optical characteristic parameters of different detection points on the detection track. Regardless of which method is used, there should be no less than 37 detection points on a detection track, and the optical characteristic parameters obtained at each detection point include at least color temperature and light intensity. In addition, other parameters such as color rendering index, spectrum, etc. can be tested according to actual needs. The light detector can use a mature tester on the market, such as a photoelectric detector composed of a color sensing chip PD and a light intensity sensing chip PD. If only a single detection track is tested here, two-dimensional optical data can be obtained.

[0016] In this embodiment, in order to obtain the optical parameters in different light-emitting directions of the LED device, during the detection process, the optical characteristic parameters of different detection points above the light-emitting surface of the LED device can be detected based on multiple detection trajectories, and at least two of the multiple detection trajectories are perpendicular to the projection trajectories of the plane where the LED device is located, that is, in addition to the two detection trajectories set perpendicular to each other, more detection trajectories can be set in other directions, and the multiple detection trajectories surround the LED device in three dimensions. Multiple detection trajectories with the same radius constitute a hemispherical detection surface, and the detection surface referred to here is a hemispherical surface with the LED device as the center of the sphere, such as Figure 3 As shown, with the bottom center of the package substrate of the LED device 10 to be tested as the origin, a three-dimensional "Cartesian" coordinate system (i.e., XYZ coordinate axis 30) is constructed, and two detection tracks are arranged in mutually perpendicular planes, i.e., the plane where the detection track C21 in the direction of 0°-180° is located and the plane where the detection track C22 in the direction of 90°-270° is located are mutually perpendicular, and the light detector 20 sequentially performs three-dimensional detection on the hemispherical detection surface along the two detection tracks in the figure. In other embodiments, more detection tracks can be arranged in directions such as 45°-225°, 135°-315°, etc. for detection.

[0017] Generally, the detection radius (i.e., the straight-line distance between any point on the detection surface and the LED device) should be greater than 10 times the longest dimension of the LED device. At this time, the LED device acts as a point light source, and its luminous characteristics conform to the Lambertian body model. The optical data detected conform to the luminous characteristics of the LED device observed by the human eye. The specific length of the detection radius can be designed by yourself before starting the test based on factors such as the size of the LED device. This is not limited in the comparison of this embodiment. It is also possible to test the optical characteristic parameters on the spherical surface of different detection radii for a single LED device for a more comprehensive optical analysis.

[0018] S30 performs weighted averaging on the optical characteristic parameters of different detection points on the detection track to obtain a weighted average color temperature.

[0019] In this embodiment, the weighted average color temperature is calculated not by simply averaging all color temperature values, but by combining the luminous intensity of each detection point for weighted averaging. The specific calculation method is as follows: Weighted average color temperature for:

[0020] in, c is the number of detection trajectories, c (0-180°) is the detection track corresponding to the 0-180° direction of the plane where the LED device is located. c (90°-270°) is the detection track corresponding to the 90°-270° direction of the plane where the LED device is located; I i is the corresponding detection trajectory with the LED device as the origin i Light intensity value detected at the observation angle, CCT i is the corresponding detection trajectory with the LED device as the origin i The color temperature value detected by the observation angle.

[0021] That is, for the detected data, first, multiply the light intensity and color temperature values ​​of the data of different detection points on the same detection track, then add the products of the light intensity and color temperature values ​​of each detection point one by one to obtain a sum, and then divide the sum of the products obtained above by the sum of the light intensity of each detection point on the detection track to obtain the weighted color temperature value of the detection track, and calculate the weighted color temperature values ​​on different detection tracks respectively; then, add the weighted color temperature values ​​on different detection tracks, remove the number of detection tracks, and obtain the weighted average color temperature. Because the weighted average color temperature is calculated in combination with the light intensity, it is more in line with the real feelings and visual experience of the human eye when observing actual things, and can more accurately reflect the actual color temperature under different light intensity conditions. Because white light is a mixture of light of multiple different wavelengths, and the human eye has different relative visibility for light of different wavelengths, and the light intensity distribution in the actual space is uneven, and the light intensity at different positions is different, such as the light intensity near the light source area is strong, the light intensity far from the light source area is weak, the light intensity near the central area is strong, and the light intensity in the central area is weak. Different light intensity areas contribute differently to the overall visual effect. Strong light areas often have a greater impact on human visual perception, and the sensitivity to color will decrease in darker environments. The traditional method of calculating color temperature difference does not take into account the difference in human visual perception when facing different light intensities. In this embodiment, the test light intensity obtains the radiation power per unit area at each detection point, and the weighted color temperature of different areas is calculated by combining light intensity and color temperature. By weighting the light intensity, the importance of the strong light area in the color temperature difference calculation can be highlighted, and the overall color temperature difference felt by the human eye can be more accurately reflected. Therefore, using light intensity to calculate the spatial color temperature difference by weighted average can meet the visual characteristics of the human eye, be closer to the actual feelings of the human eye, and make the calculation result of the spatial color temperature difference more stable and reliable.

[0022] S40 calculates the spatial color temperature difference according to the weighted average color temperature and the center color temperature, where the center color temperature is the color temperature value detected by a detection point located directly above the LED device in the detection trajectory.

[0023] Space color temperature difference Δ CCT The center color temperature of the LED device CCT 0 With weighted average color temperature The absolute value of the difference, that is, , usually the center color temperature of LED devices CCT 0 is greater than any other color temperature value and the weighted average color temperature value.

[0024] S50 evaluates the spatial light color of LED devices based on the spatial color temperature difference.

[0025] The degree of uniformity of light color can be judged from the size of the spatial color temperature difference. The larger the value of the spatial color temperature difference, the greater the difference between the central color temperature and the weighted average color temperature, indicating that the light color of the LED device in certain areas may have a large deviation, and the light color uniformity of the detected LED device is lower; conversely, the smaller the value of the spatial color temperature difference, the smaller the difference between the central color temperature and the weighted average color temperature, the more consistent the light color performance of each area, and the higher the light color uniformity of the detected LED device.

[0026] If the spatial light color uniformity of different LED devices is to be compared, it is sufficient to compare the values ​​of the spatial color temperature difference of different LED devices. The larger the value, the worse the spatial light color uniformity. When only evaluating the spatial light color of a single LED device, the spatial color temperature difference of the LED device can be compared with the preset threshold. If the spatial color temperature difference is less than the preset threshold, the spatial light color of the LED device is judged to be uniform. The preset threshold here can be given a value suitable for daily use according to the application scenario of the LED device. For example, for places with low requirements for light color uniformity, the spatial color temperature difference can be larger, and the preset threshold is relatively high. For example, if the preset threshold is set to 100K, the spatial color temperature difference can be less than 100K; for places with high requirements for light color uniformity, the spatial color temperature difference should be smaller, so the preset threshold can be appropriately lowered. For example, if the preset threshold is set to 50K, the spatial color temperature difference is less than 50K to meet the light color uniformity requirements.

[0027] In one example, three different LED devices (A, B, and C) were tested using this evaluation method. Figure 4 As shown, the three LED devices are all 3535 ceramic white light products, using a 38mil flip-chip blue light chip 12 eutectic soldered on the surface of a ceramic substrate 11, white glue 13 is provided around the chip, and a fluorescent film 14 (and structures such as a light-distributing layer 15) is mounted on the upper surface of the light-emitting device, and a hemispherical lens 16 is configured on the top, and the lower surface of the lens 16 covers the surface of the white glue 13 and the surface of the fluorescent film 14 (and structures such as a light-distributing layer 15), fully concentrating the light generated by the LED device. LED device A has an ordinary yellow fluorescent film mounted on the light-emitting surface, which cooperates with the blue light chip to emit white light; LED device B has an ordinary yellow fluorescent film and a light-distributing layer containing TiO2 mounted on the light-emitting surface, the concentration of TiO2 particles in the light-distributing layer is 1.0% (i.e., the mass of TiO2 particles / total mass of the light-distributing layer = 1.0%), and the thickness is 80μm; LED device C has an ordinary yellow fluorescent film and a light-distributing layer containing TiO2 mounted on the light-emitting surface, the concentration of TiO2 particles in the light-distributing layer is 1.5% (i.e., the mass of TiO2 particles / total mass of the light-distributing layer = 1.5%), and the thickness is also 80μm. Each LED device obtains the light intensity and color temperature values ​​from two detection tracks in three-dimensional space, namely, Figure 3The detection track in the direction of 0°-180° and the detection track in the direction of 90°-270° are shown. On each detection track, the light detector moves along the detection track, and the optical characteristic parameters are tested every 1°, that is, there are 181 detection points evenly distributed on each detection track. Finally, the spatial color temperature difference ΔCCT is calculated based on the collected data, and the calculation results are as follows:

[0028] At the same time, the spatial light intensity distribution curve and the spatial color temperature distribution curve are drawn based on the collected data. Each figure shows the data collected on two detection tracks (C0 / 180 represents the detection track in the 0°-180° direction, and C90 / 270 represents the detection track in the 90°-270° direction), which intuitively shows the distribution of light intensity and color temperature. The specific situation is as follows: For LED device A: Its structure is a combination of an ordinary flip-chip blue LED chip and a yellow fluorescent film, which emits white light. When the emitted light is transmitted on a white background, it appears as an abnormal light spot of "white in the middle and yellow on the outer circle", and the human eye can observe the color difference. Its spatial light intensity distribution curve and spatial color temperature distribution curve are shown in the figure below. Figure 5 As shown in the figure (the left side is the light intensity distribution diagram, the right side is the color temperature distribution diagram), it can be seen from the light intensity distribution curve that the spatial light intensity distribution of LED device A is similar to the "Lambertian distribution". That is, the normal light intensity value I0 of the vertical device light output surface is the largest; the light intensity value I0 of the direction with the largest deviation from the normal angle of "±90°" is the largest. -90 / I90 Minimum. It can be seen from the color temperature distribution curve that the color temperature distribution curve fluctuates greatly, indicating that the color temperature values ​​detected by the light detector of device A at different observation angles in space are different and the differences are large: for example, in the C0 / 180 direction, the maximum central color temperature value detected at the "0°" observation angle is "3153K", the color temperature value detected at the "-90°" observation angle is "2827K", and the color temperature value detected at the "74°" observation angle is "2868K"; in the C90 / 270 direction, the maximum central color temperature value detected at the "0°" observation angle is "3153K", the color temperature value detected at the "-90°" observation angle is "2723K", and the color temperature value detected at the "90°" observation angle is "2492K". The central color temperature finally calculated is CCT 0 = 3153K, weighted average color temperature =2989K, the calculated result of spatial color temperature difference is △ CCT =|3153K-2989K|=164K. The light color uniformity is poor, which is consistent with the perception of the human eye.

[0029] For LED device B: its structure is a combination of a flip-chip blue LED chip plus a yellow fluorescent film, and a light-distributing layer containing TiO2 particles is formed on the surface of the fluorescent film, and the concentration of TiO2 particles in the light-distributing layer is 1.0%, and the thickness is 80μm. When the emitted light is transmitted on a white background, the human eye cannot observe color difference. Its spatial light intensity distribution curve and spatial color temperature distribution curve are shown in the figure below. Figure 6 As shown (the left side is the light intensity distribution diagram, and the right side is the color temperature distribution diagram), it can be seen from the light intensity distribution curve that the spatial light intensity distribution of device B is also similar to the "Lambertian distribution". The normal light intensity value I0 of the vertical device light output surface is the largest; the light intensity value I0 in the direction with the largest deviation from the normal angle of "±90°" is the largest. -90 / I90 Minimum. It can be seen from the color temperature distribution curve that the fluctuation of the color temperature distribution curve becomes smaller, indicating that the color temperature values ​​detected by the light detector of device B at different observation angles in space are different, but the difference is small: for example, in the C0 / 180 direction, the maximum central color temperature value detected at the "0°" observation angle is "3097K", the color temperature value detected at the "-77°" observation angle is "2794K", and the color temperature value detected at the "77°" observation angle is "2856K"; in the C90 / 270 direction, the maximum central color temperature value detected at the "0°" observation angle is "3097K", the color temperature value detected at the "-75°" observation angle is "2797K", and the color temperature value detected at the "79°" observation angle is "2813K". The central color temperature finally calculated is CCT 0 = 3097K, weighted average color temperature =3049K, the calculated spatial color temperature difference is △ CCT =|3097K-3049K|=48K. Compared with LED device A, the spatial color temperature difference is reduced by 116K, and the light color uniformity is good, which is consistent with the perception of the human eye.

[0030] For LED device C: its structure is a combination of a flip-chip blue LED chip plus a yellow fluorescent film, and a light-homogenizing layer containing TiO2 particles is formed on the surface of the fluorescent film. The concentration of TiO2 particles in the light-homogenizing layer is 1.5%, and the thickness is also 80μm. When the emitted light is transmitted on a white background, the human eye cannot observe color difference. Its spatial light intensity distribution curve and spatial color temperature distribution curve are shown in the figure below. Figure 7 As shown (the left side is the light intensity distribution diagram, and the right side is the color temperature distribution diagram), it can be seen from the light intensity distribution curve that the spatial light intensity distribution of device C is also similar to the "Lambertian distribution". The normal light intensity value I0 of the vertical device light output surface is the largest; the light intensity value I0 in the direction with the largest deviation from the normal angle of "±90°" is the largest. -90 / I90Minimum. It can be seen from the color temperature distribution curve that the color temperature distribution curve is smooth with almost no fluctuations, indicating that the color temperature values ​​detected by the light detector of the C device at different observation angles in space are different, but the differences are very small: for example, in the C0 / 180 direction, the maximum central color temperature value detected at the "0°" observation angle is "3022K", the color temperature value detected at the "-80°" observation angle is "2793K", and the color temperature value detected at the "80°" observation angle is "2773K"; in the C90 / 270 direction, the maximum central color temperature value detected at the "0°" observation angle is "3022K", the color temperature value detected at the "-80°" observation angle is "2761K", and the color temperature value detected at the "80°" observation angle is "2709K". The central color temperature finally calculated is CCT 0 = 3022K, weighted average color temperature =3003K, the calculated spatial color temperature difference is △ CCT =|3022K-3003K|=19K. Compared with LED device B, the spatial color temperature difference is further reduced by 29K, and the light color uniformity is very good, which is consistent with the perception of the human eye.

[0031] It is easy to see from the above data that the spatial color temperature difference result calculated by the present invention is not only consistent with the result perceived by the human eye, but can also accurately and quantitatively represent the luminous uniformity of the LED device, which is conducive to more convenient and accurate evaluation of the luminous performance of the LED device and timely discovery of product problems.

[0032] In another embodiment, if Figure 8 As shown, the present invention provides an electronic device 100, including a processor 110 and a memory 120, wherein the memory 120 is used to store a computer program 121; the processor 110 is used to execute the computer program 121 stored in the memory 120 to implement the method in the above-mentioned corresponding embodiment of the spatial light color evaluation method of the LED device.

[0033] The electronic device 100 may be a desktop computer, a notebook, a PDA, a tablet computer, a mobile phone, a human-computer interaction screen, etc. The electronic device 100 may include, but is not limited to, a processor 110 and a memory 120. Those skilled in the art will appreciate that Figure 8It is only an example of the electronic device 100 and does not constitute a limitation of the electronic device 100. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the electronic device 100 may also include an input / output interface, a display device, a network access device, a communication bus, a communication interface, etc. The communication interface and the communication bus may also include an input / output interface, wherein the processor 110, the memory 120, the input / output interface and the communication interface communicate with each other through the communication bus. The memory 120 stores a computer program 121, and the processor 110 is used to execute the computer program 121 stored in the memory 120 to implement the method in the above-mentioned corresponding method embodiment.

[0034] The processor 110 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0035] The memory 120 may be an internal storage unit of the electronic device 100, exemplarily: a hard disk or memory of the electronic device. The memory may also be an external storage device of the electronic device, exemplarily: a plug-in hard disk equipped on the electronic device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. Further, the memory 120 may also include both an internal storage unit of the electronic device 100 and an external storage device. The memory 120 is used to store the computer program 121 and other programs and data required by the electronic device 100. The memory may also be used to temporarily store data that has been output or is to be output.

[0036] The communication bus is a circuit that connects the elements described and implements transmission between these elements. Exemplarily, the processor 110 receives commands from other elements through the communication bus, decrypts the received commands, and performs calculations or data processing according to the decrypted commands. The memory 120 may include program modules, exemplary, kernels, middleware, application programming interfaces (APIs) and applications. The program modules may be composed of software, firmware or hardware, or at least two of them. The input / output interface forwards commands or data entered by the user through the input / output interface (exemplarily, sensors, keyboards, touch screens). The communication interface connects the electronic device 100 to other network devices, user devices, and networks. Exemplarily, the communication interface can be connected to the network by wire or wireless to connect to other external network devices or user devices. Wireless communication may include at least one of the following: wireless fidelity (WiFi), Bluetooth (BT), near field communication technology (NFC), global satellite positioning system (GPS) and cellular communication, etc. Wired communication may include at least one of the following: Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), RS-232, etc. The network may be a telecommunication network and a communication network. The communication network may be a computer network, the Internet, the Internet of Things, or a telephone network. The electronic device 100 may be connected to the network via a communication interface, and the protocol used by the electronic device 100 to communicate with other network devices may be supported by at least one of an application, an application programming interface (API), a middleware, a kernel, and a communication interface.

[0037] In another embodiment, the present invention further provides a storage medium, in which at least one instruction is stored, and the instruction is loaded and executed by a processor to implement the operation performed by the corresponding embodiment of the above method. Exemplarily, the storage medium can be a read-only memory (ROM), a random access memory (RAM), a read-only compact disk (CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device.

[0038] They can be implemented with program codes executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0039] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0040] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed with hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0041] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. Exemplarily, the device / electronic device embodiments described above are merely schematic. Exemplarily, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. Exemplarily, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0042] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0043] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0044] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by sending instructions to related hardware through a computer program 121. The computer program 121 can be stored in a storage medium. When the computer program 121 is executed by a processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program 121 can be in the form of source code, object code, executable file or some intermediate form. The storage medium may include: any entity or device capable of carrying the computer program 121, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-OnlyMemory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0045] It should be noted that the above embodiments can be freely combined as needed. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention.

Claims

1. A method for evaluating the spatial light color of an LED device, characterized in that: include: Provide LED devices and light them up; Based on at least one preset detection track, optical characteristic parameters of different detection points above the light-emitting surface of the LED device are detected, wherein the optical characteristic parameters include color temperature and light intensity; the detection points included in the detection track are located on a semicircular track with the LED device as the center; The weighted average color temperature is obtained by weighted averaging the optical characteristic parameters of different detection points on the detection trajectory; A spatial color temperature difference is calculated according to the weighted average color temperature and the center color temperature, wherein the center color temperature is a color temperature value detected by a detection point located directly above the LED device in the detection trajectory; The spatial light color of the LED device is evaluated according to the spatial color temperature difference.

2. The spatial light color evaluation method according to claim 1, characterized in that: In the detection of the optical characteristic parameters of different detection points above the light-emitting surface of the LED device based on at least one preset detection trajectory, the optical characteristic parameters of different detection points above the light-emitting surface of the LED device are detected based on multiple detection trajectories, and at least two of the multiple detection trajectories have projection trajectories perpendicular to each other on the plane where the LED device is located.

3. The spatial light color evaluation method according to claim 1, characterized in that: The weighted average color temperature is obtained by weighted averaging the optical characteristic parameters of different detection points on the detection trajectory. for: ， in, c is the number of detection trajectories, c (0-180°) is the detection track corresponding to the 0-180° direction of the plane where the LED device is located. c (90°-270°) is the detection track corresponding to the 90°-270° direction of the plane where the LED device is located; I i is the corresponding detection trajectory with the LED device as the origin i The light intensity value detected at the observation angle, CCT i is the corresponding detection trajectory with the LED device as the origin i Color temperature value detected by observation angle; The spatial color temperature difference is calculated according to the weighted average color temperature and the center color temperature, and the spatial color temperature difference is: for: ， in, CCT 0 is the center color temperature.

4. The spatial light color evaluation method according to claim 1, characterized in that: The radius of the semicircular trajectory is greater than ten times the longest dimension of the LED device.

5. The spatial light color evaluation method according to claim 1, characterized in that: The detection points are evenly distributed in each detection track, and there are at least 37 detection points in a single detection track.

6. The spatial light color evaluation method according to any one of claims 1 to 5, characterized in that: The evaluation of the spatial light color of the LED device according to the spatial color temperature difference includes: Comparing the spatial color temperature difference with a preset threshold; If the spatial color temperature difference is less than a preset threshold, it is determined that the spatial light color of the LED device is uniform.

7. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the spatial light color evaluation method as described in any one of claims 1 to 6.

8. A storage medium, characterized in that: The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the spatial light color evaluation method according to any one of claims 1 to 6.

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