Scene light color consistency implementation method and device, equipment and storage medium

Abstract

The invention discloses a scene light color consistency implementation method, device and equipment and a storage medium, and the method comprises the steps: obtaining lamp types to be applied to the same illumination scene, the lamp types at least comprising two of a lamp strip, a neon, a linear lamp and a barrel spotlight; acquiring the working current of each light-emitting chip corresponding to the lamp strip, the neon, the linear lamp and the cylindrical spotlight under each standard color temperature test; calculating the working current proportion of each light-emitting chip under each standard color temperature according to the working current of each light-emitting chip of the lamp strip, the neon, the linear lamp and the tube spotlight; and when a user selects the corresponding standard color temperature, obtaining the working current proportion of each light-emitting chip of the lamp strip, the neon, the linear lamp and the tube spotlight according to the standard color temperature, and controlling the corresponding light-emitting chips to operate according to the working current proportion. According to the method, the high consistency of the light color in the lighting environment is realized, and the user experience is greatly enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of lighting technology, in particular to a scene light color consistency implementation method, device, equipment and storage medium. BACKGROUND

[0002] In the field of modern high-end lighting, diversified lamp types are widely used in the same lighting scene. Specifically, different types of lighting products such as lamp strips, neon lights, linear lights, downlights, and spotlights are often used in combination in places with strict requirements on light environment, such as living rooms and bedrooms in luxury homes, lobbies and restaurants in five-star hotels, and high-end commercial spaces. This diversified lighting design aims to create a light environment with rich levels and multiple functions through the complementary characteristics of different lamps.

[0003] However, under the existing technical conditions, when the above different types of lamps work together in the same space, there is a common problem of inconsistent light color. This inconsistency is manifested as a recognizable difference in color temperature and hue between the light emitted by different lamps, even if they are set to the same nominal color temperature. The actual rendering effect still has a significant difference. Spectral measurement data shows that such differences usually exhibit a color tolerance (SDCM) of 5-7 steps, far exceeding the 3-step standard threshold acceptable to the human eye.

[0004] This light color inconsistency directly affects the overall visual effect and environment atmosphere of the space, making it difficult for the carefully designed lighting scheme to achieve the expected artistic expression and functional goals. In high-end application scenarios, such problems are particularly prominent, severely restricting the improvement of lighting quality. With the continuous improvement of people's living quality and the increasing refinement of requirements for living environment, the market's demand for light color consistency between different lamps in the same scene continues to increase. Users increasingly value the precise control and coordination of light sources, and the limitations of traditional lighting technology in light color consistency have become a key bottleneck restricting high-end lighting experience. SUMMARY

[0005] The purpose of the present application is to provide a scene light color consistency implementation method, device, equipment and storage medium, which aims to solve the problem of inconsistent light color when different types of lamps work together in the same space.

[0006] In a first aspect, the present application provides a scene light color consistency implementation method, comprising: Obtaining lamp types to be applied to the same lighting scene, the lamp types including at least two of lamp strips, neon lights, linear lights, and downlights; wherein the lamp strips, the neon lights, and the linear lights are all configured with normal-mounted light sources or chip-level inverted light sources; the downlights are configured with board-driven chip-level packaged light sources; acquire working currents of each light emitting chip of the light strip, the neon, the linear lamp and the down lamp under each standard color temperature test; calculate working current proportions of each light emitting chip under each standard color temperature according to the working currents of each light emitting chip of the light strip, the neon, the linear lamp and the down lamp; when a user selects a corresponding standard color temperature, acquire working current proportions of each light emitting chip of the light strip, the neon, the linear lamp and the down lamp according to the standard color temperature, and control the corresponding light emitting chip to operate according to the working current proportions.

[0007] In a second aspect, an embodiment of the present application provides a scene light color consistency implementation device, comprising: a lamp acquisition unit configured to acquire lamp types to be applied to a same lighting scene, the lamp types including at least two of a light strip, a neon, a linear lamp and a down lamp; wherein the light strip, the neon and the linear lamp are all configured with normally mounted light sources or chip-level inverted light sources; and the down lamp is configured with a board-mounted driving chip-level packaged light source; a current acquisition unit configured to acquire working currents of each light emitting chip of the light strip, the neon, the linear lamp and the down lamp under each standard color temperature test; a calculation unit configured to calculate working current proportions of each light emitting chip under each standard color temperature according to the working currents of each light emitting chip of the light strip, the neon, the linear lamp and the down lamp; a running unit configured to, when a user selects a corresponding standard color temperature, acquire working current proportions of each light emitting chip of the light strip, the neon, the linear lamp and the down lamp according to the standard color temperature, and control the corresponding light emitting chip to operate according to the working current proportions.

[0008] In a third aspect, an embodiment of the present application further provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the scene light color consistency implementation method of the first aspect when executing the computer program.

[0009] In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program implements the scene light color consistency implementation method of the first aspect when executed by a processor.

[0010] The application discloses a scene light color consistency implementation method, device, equipment and storage medium, and the method comprises the following steps: acquiring lamp types to be applied to the same lighting scene, wherein the lamp types at least include two of the following: a lamp strip, neon, a linear lamp and a cylinder spotlight; wherein the lamp strip, the neon and the linear lamp are all configured with a normal light source or a chip-level inverted light source; the cylinder spotlight is configured with a board-driven chip-level packaged light source; acquiring working currents of each light emitting chip of the lamp strip, the neon, the linear lamp and the cylinder spotlight under each standard color temperature test; calculating working current proportions of each light emitting chip under each standard color temperature according to the working currents of each light emitting chip of the lamp strip, the neon, the linear lamp and the cylinder spotlight; when a user selects a corresponding standard color temperature, acquiring the working current proportions of each light emitting chip of the lamp strip, the neon, the linear lamp and the cylinder spotlight according to the standard color temperature, and controlling the corresponding light emitting chip to operate according to the working current proportions. The application makes detailed current adjustment for each lamp under different standard color temperatures, so that the light emitting chip can output light rays meeting the blackbody line white light standard, and high color rendering index and minimum color tolerance are ensured. The precise control not only realizes high consistency of light colors in the lighting environment, but also improves the consistency and harmony of the overall visual effect and the environment atmosphere, meets the needs of high-end users for high-quality lighting, and greatly enhances the user experience. The application embodiment also provides a scene light color consistency implementation device, a computer readable storage medium and a computer equipment, which have the above beneficial effects, and details are not repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0012] Figure 1 It is a flowchart of the scene light color consistency implementation method; Figure 2 It is a spectrum diagram of the four-color DOB lamp bead; Figure 3 It is a spectrum diagram of the four-color normal lamp bead; Figure 4 It is a chromaticity diagram; Figure 5 It is a schematic block diagram of the scene light color consistency implementation device. DETAILED DESCRIPTION

[0013] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described, obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the scope of protection of the present application.

[0014] It should be understood that the terms "comprising" and "including" as used in the specification and the appended claims indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0015] It should also be understood that the terms used in the present application specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the present application specification and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms, unless the context clearly indicates otherwise.

[0016] It should be further understood that the term "and / or" used in the present application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0017] Please refer to Figure 1 The present embodiment provides a scene light color consistency implementation method, comprising: S101: Obtain lamp types to be applied to the same lighting scene, the lamp types at least including two of a light strip, a neon, a linear lamp, and a cylinder spotlight; wherein the light strip, the neon, and the linear lamp are all configured with a right-reading light source or a chip-scale inverted light source; the cylinder spotlight is configured with a board-driven chip-scale packaged light source; In specific implementation, it is necessary to determine the combination of lamp types to be used in the same lighting scene. At least two types of light strip, neon lamp, linear lamp, and cylinder spotlight are specifically selected for combination configuration. The light strip, the neon lamp, and the linear lamp are all configured with a right-reading light source or a chip-scale inverted light source (i.e. inverted CSP light source) as a light-emitting unit, and the cylinder spotlight is configured with a board-driven chip-scale packaged light source (CSP DOB light source) as a light-emitting unit.

[0018] Among them, the light strip, the neon lamp, the linear lamp and the cylinder spotlight can adopt three-color light source RGB or four-color light source RGBW. The light sources used by the light strip, the neon lamp, the linear lamp and the cylinder spotlight are packaged by innovatively matching color powder to achieve the same spectrum of two light source beads.

[0019] S102: Obtain the working current of each light emitting chip of the lamp strip, the neon, the linear lamp and the spotlight under each standard color temperature test; In this embodiment, the same lamp bead light source (whose spectrum diagram is shown in Figure 3 The same lamp bead light source is used in the lamp strip, the neon, the linear lamp and the spotlight. The lamp bead in the lamp strip is exposed and has no color temperature change. The lamp bead in the neon has color temperature change through the diffusion silica gel. The lamp bead in the linear lamp has color temperature change through the diffusion cover. The DOB lamp bead (whose spectrum diagram is shown in Figure 2 The same lamp bead light source is used in the lamp strip, the neon, the linear lamp and the spotlight. The lamp bead in the lamp strip is exposed and has no color temperature change. The lamp bead in the neon has color temperature change through the diffusion silica gel. The lamp bead in the linear lamp has color temperature change through the diffusion cover. The DOB lamp bead (whose spectrum diagram is shown in Figure 4 The same lamp bead light source is used in the lamp strip, the neon, the linear lamp and the spotlight. The lamp bead in the lamp strip is exposed and has no color temperature change. The lamp bead in the neon has color temperature change through the diffusion silica gel. The lamp bead in the linear lamp has color temperature change through the diffusion cover. The DOB lamp bead (whose spectrum diagram is shown in Obtain the standard blackbody coordinates and the color temperature coordinates of each type of lamp measured in the darkroom environment; Compare the color temperature coordinates with the standard blackbody coordinates to generate coordinate deviation data; Calculate the working current correction parameters of the light emitting chips in each lamp based on the coordinate deviation data; Adjust the working current of the light emitting chips of the lamp according to the working current correction parameters.

[0020] Specifically, obtain the standard blackbody coordinate data, which serves as the reference for color consistency. Then place each type of lamp to be tested in a standard darkroom environment, and use a high-precision spectrometer to measure the actual color temperature coordinates of each lamp under standard working conditions. Compare the measured color temperature coordinates with the standard blackbody coordinates, calculate the Euclidean distance between them on the chromaticity diagram, and generate accurate coordinate deviation data. Based on the coordinate deviation data, calculate the working current correction parameters of the light emitting chips in each lamp through a pre-set compensation algorithm. The parameters include the current adjustment ratios of red, green, blue and white chips. Finally, write the working current correction parameters into the storage unit of the built-in controller of the lamp through NFC wireless communication technology. The controller adjusts the working current of each light emitting chip in real time according to the correction parameters, ensuring that each lamp meets the preset color consistency standard before leaving the factory. This process realizes accurate compensation for individual differences of lamp beads, resistance accuracy deviation and optical system differences, laying a foundation for color consistency of multiple types of lamps in the same scene.

[0021] S103: Calculate the working current proportion of each light emitting chip under each standard color temperature based on the working current of each light emitting chip of the lamp strip, the neon, the linear lamp and the spotlight. After obtaining the light-emitting chip working current data of the lamp strip, neon lamp, linear lamp, and cylinder spotlight at each standard color temperature test point, the working current proportion calculation phase is entered. For each standard color temperature point, the working current proportion of the light-emitting chip in each lamp type is calculated. The specific calculation process is: the working current value of a single light-emitting chip is subjected to ratio operation with the sum of the working currents of all light-emitting chips of the lamp at the current color temperature point to obtain the current proportion parameters of each light-emitting chip.

[0022] Through the above calculation, a complete lamp type-standard color temperature-current proportion parameter table is formed. The table accurately records the current proportion relationship of each light-emitting chip required by different types of lamps to achieve the same standard color temperature. The calculated current proportion parameters are stored in the control system database to establish a mapping relationship between the lamp type identifier and the corresponding current proportion parameters. This data set provides a core parameter basis for subsequent multi-lamp collaborative control, enabling the system to automatically call the corresponding current proportion scheme according to the target color temperature.

[0023] In a specific embodiment, for each standard test point in the color temperature range of 1800K to 10000K, the working current original data of the red, green, blue, and white four-color light-emitting chips or the red, green, and blue three-color light-emitting chips of the four types of lamps are extracted. Taking the lamp strip at the 1800K color temperature point as an example, the working current of the red light chip is 494 milliamps, the green light chip is 124 milliamps, the blue light chip is 0 milliamps, and the white light chip is 382 milliamps. The total sum of the four currents is 1000 milliamps, and the working current proportion of each chip to the total current is calculated to obtain the red light proportion of 49.4%, the green light proportion of 12.4%, the blue light proportion of 0%, and the white light proportion of 38.2%. The same calculation method is applied to the 2300K color temperature point, and the working currents of the four-color chips of the lamp strip are 382 milliamps, 179 milliamps, 27 milliamps, and 412 milliamps, respectively. The calculation results are red light 38.2%, green light 17.9%, blue light 2.7%, and white light 41.2%. Under the same color temperature conditions, the current proportions of the green and blue light chips of the neon lamp increase by 4.2% and 3.8%, respectively, due to the influence of the internal diffusion silica gel on the light color. Due to the optical properties of the diffusion cover, the current proportion of the white light chip of the linear lamp increases by 3.5%, and the proportion of the red light chip decreases accordingly. The cylinder spotlight uses a lens system, and at the 3000K color temperature point, the red light proportion is 31.5%, the green light proportion is 22.3%, the blue light proportion is 6.7%, and the white light proportion is 39.5%. All the calculation results are constructed into a data matrix according to the three dimensions of lamp type, color temperature value, and chip color to form a complete light color control parameter library.

[0024] S104: When the user selects the corresponding standard color temperature, the working current proportion of each light emitting chip of the lamp strip, the neon, the linear lamp and the spotlight is obtained according to the standard color temperature, and the corresponding light emitting chip is controlled to operate according to the working current proportion.

[0025] Specifically, when the user selects the target standard color temperature through the operation interface, the control system starts the collaborative lighting process immediately. This process begins with receiving the standard color temperature control signal issued by the user, which clearly indicates the overall light color target required by the scene, such as 2700K warm yellow light or 4000K neutral white light.

[0026] Based on the received standard color temperature control signal, the control system retrieves the light color parameters corresponding to the standard color temperature and each type of lamp in the current scene from the pre-stored data set. This data set contains the accurate working current proportion of the light emitting chips of the lamp strip, neon, linear lamp and spotlight respectively preset at each standard color temperature.

[0027] The control system generates a dedicated driving control instruction set for each type of lamp based on the retrieved parameters. This instruction set specifies the current output proportion of red, green, blue and white chips in each lamp in detail to ensure that the light emitted by all lamps is highly matched in the spectral layer.

[0028] Finally, the control system issues driving instructions to the power supply driving units of each lamp. The power supply driving unit adjusts the working current output to each light emitting chip according to the received instructions, so that it operates strictly according to the preset proportion.

[0029] In one specific embodiment, the user selects 3000K standard color temperature by touching the control panel. After the control system receives the color temperature selection instruction, it retrieves the four-color chip working current proportion data corresponding to the 3000K color temperature point of the light strip, neon, linear lamp and spotlight from the built-in memory. For the light strip, the system obtains the working current proportion parameters of the red light chip 35.6%, the green light chip 21.8%, the blue light chip 4.2%, and the white light chip 38.4%; the corresponding parameters of the neon lamp are red light 33.4%, green light 24.5%, blue light 5.8%, and white light 36.3%; the corresponding parameters of the linear lamp are red light 34.1%, green light 23.2%, blue light 5.1%, and white light 37.6%; and the corresponding parameters of the spotlight are red light 31.8%, green light 23.7%, blue light 6.5%, and white light 38.0%. The control system calculates the specific working current values of each light-emitting chip according to these proportion parameters and the rated total current value of each type of lamp. For example, for a light strip with a rated total current of 1000 milliamps, the system calculates the red light chip working current as 356 milliamps, the green light as 218 milliamps, the blue light as 42 milliamps, and the white light as 384 milliamps. After the calculation is complete, the control system converts the calculated working current values into corresponding duty cycle control signals through the PWM signal generation circuit and synchronously sends them to the driving circuits of each type of lamp. The driving circuits accurately adjust the actual working current of each light-emitting chip according to the received control signals, so that all lamps present completely consistent light color performance (such as a color rendering index RA greater than 90 and a color tolerance less than 0.5 steps) at 3000K color temperature, achieving light color harmony and unity of the entire space lighting environment.

[0030] The present embodiment adjusts the current of each type of lamp at different standard color temperatures in detail, so that the light-emitting chips can output light that meets the standard of blackbody line white light, ensuring high color rendering index and minimal color tolerance. This precise control not only achieves high consistency of light color in the lighting environment, but also enhances the consistency and harmony of the overall visual effect and environmental atmosphere, meeting the needs of high-end users for high-quality lighting and greatly enhancing the user experience.

[0031] In the present embodiment, when all the application lamps in the same space are turned on, the user finds that one lamp has a slightly different color temperature from the other lamps. The user can then code the lamp with color difference through the remote control, and after coding, the user can perceive by the naked eye that the yellow color is reduced in proportion, with a precision level of 256 levels, while the other three colors are increased in proportion, keeping the total current proportion unchanged. In this way, the individual use of customers can be solved.

[0032] In some embodiments, to achieve automatic adjustment of color difference, the method further comprises: collecting spectrum data output by the lamps in real time; comparing the spectrum data with the preset standard blackbody line parameters to generate a spectrum deviation value; calculating a working current correction ratio of the light emitting chips in the lamp based on the spectral deviation value; adjusting the working current of the light emitting chips in the lamp according to the working current correction ratio.

[0033] Specifically, during the operation of the lamp, the light spectrum power distribution data of the actual output of the lamp is continuously collected by the micro spectrophotometer integrated in the optical path of the lamp, which accurately reflects the real-time light color characteristics of the lamp.

[0034] Then, the real-time collected spectrum data is compared and analyzed with the standard blackbody locus spectrum parameters pre-stored in the controller with high precision, and the quantitative spectral deviation value is generated by calculating the intensity difference of the two in a certain wavelength range, which accurately represents the deviation direction and degree of the current light color relative to the standard target. The standard colorimetric coordinate framework for comparison is shown in the figure.

[0035] Then, based on the generated spectral deviation value, the edge computing unit of the controller runs an adaptive algorithm to dynamically calculate the working current correction ratio required by the RGBW four-color light emitting chips in the lamp. This calculation process considers the spectral contribution weight of each chip to ensure the accuracy and stability of the correction action.

[0036] According to the calculated working current correction ratio, the current value output by the driving circuit to each light emitting chip is adjusted in real time, and by changing the light intensity ratio of each chip, the synthesized spectrum output by the lamp is approximated to the standard blackbody locus, thereby realizing closed-loop compensation and suppression of light color drift.

[0037] The present embodiment establishes a real-time control loop from spectrum monitoring, deviation analysis to current adjustment, so that the lamp has the ability to maintain the consistency of light color during operation, effectively overcoming the color temperature drift problem caused by environmental factor changes and device aging.

[0038] In some embodiments, further comprising: constructing a light quality multi-dimensional model containing color temperature coordinates, color rendering index, stroboscopic percentage and glare threshold parameters; obtaining a target color temperature; calculating the working current proportion of the light emitting chips of each type of lamp at the target color temperature through the light quality multi-dimensional model to generate a basic driving parameter set; determining the PWM modulation frequency, phase difference and nonlinear driving waveform parameters corresponding to the light emitting chips of each type of lamp according to the basic driving parameter set; adjusting the driving signal of the light emitting chips of each type of lamp through the PWM modulation frequency, phase difference and nonlinear driving waveform parameters.

[0039] Specifically, a light quality multi-dimensional mathematical model integrating color temperature coordinate parameters, color rendering index parameters, stroboscopic percentage parameters and glare threshold parameters is constructed. The model quantitatively analyzes the coupling relationship between the parameters, and establishes the mapping rule from the target light quality to the underlying driving parameters.

[0040] Then the target color temperature value specified by the user is obtained, which is used as the basic input condition for light quality control. The target color temperature corresponds to a specific coordinate position in the chromaticity diagram.

[0041] Then the target color temperature value is input into the light quality multi-dimensional model, and the model synchronously calculates the required working current proportion of the light emitting chips of various lamps and lanterns such as lamp strips, neon lights, linear lamps and cylindrical lamps at the target color temperature. The calculation process considers the constraints of color rendering requirements on the spectral composition, and generates a basic driving parameter set containing the current configuration of all lamp chips.

[0042] Based on the basic driving parameter set, the light quality multi-dimensional model further determines the PWM modulation frequency corresponding to each light emitting chip of each type of lamp, the driving phase difference between the chips and the non-linear driving waveform parameters. Frequency setting is used to suppress stroboscopic, phase optimization is used to reduce total harmonic distortion, and waveform shaping is used to accurately control the light emitting characteristics.

[0043] Finally, the driving control system generates corresponding driving signals according to the determined PWM modulation frequency, phase difference and non-linear driving waveform parameters, and applies them to the light emitting chips of various lamps and lanterns.

[0044] The light quality dimension covers a more comprehensive range, breaking through the limitations of traditional focus on consistent color temperature. By constructing a multi-dimensional model containing color temperature coordinates, color rendering index, stroboscopic percentage and glare threshold, the key light quality parameters affecting visual experience are included in unified control, avoiding the problem of single parameter meeting the standard but overall visual experience being poor from the root, and meeting the stringent requirements of high-end scenes on light quality. At the same time, through non-linear driving waveform and phase difference optimization, the influence of stroboscopic on the human eye is effectively reduced, combined with glare threshold control to reduce the discomfort caused by direct light, while ensuring high color rendering index, so that the lighting environment not only meets the requirements of light color uniformity, but also has better visual comfort and practicality.

[0045] Further, constructing a light quality multi-dimensional model containing color temperature coordinate parameters, color rendering index parameters, stroboscopic percentage parameters and glare threshold parameters includes: defining a basic parameter set containing color temperature coordinate parameters, color rendering index parameters, stroboscopic percentage parameters, driving waveform, optical distribution and glare threshold parameters; generating a standardized parameter set by standardizing the dimensions of each parameter in the basic parameter set; Based on the standardized parameter set, a first mapping relationship for characterizing the spectral correlation between the color temperature coordinates and the color rendering index, a second mapping relationship for characterizing the time sequence correlation between the flicker percentage and the driving waveform, and a third mapping relationship for characterizing the spatial correlation between the glare threshold and the optical distribution are established. Based on the first mapping relationship, the second mapping relationship and the third mapping relationship, a multi-dimensional mathematical model of light quality is constructed by a weighted fusion algorithm.

[0046] Specifically, a basic parameter set containing color temperature coordinate parameters, color rendering index parameters, flicker percentage parameters, PWM driving waveform parameters, light intensity spatial distribution parameters and unified glare index UGR parameters is defined. Then, in view of the inconsistent dimensions of the parameters in the basic parameter set, a normalization method is used for standardization processing, the color temperature coordinates are mapped to the 0-1 interval, the color rendering index is converted to a 0-100 standard value, the flicker percentage is kept as the original percentage but limited to a 0-5% safe range, the driving waveform parameters are extracted as three dimensionless characteristic quantities of frequency, duty cycle and harmonic distortion, the optical distribution parameters are standardized by a normalized light intensity distribution function, and the glare threshold is converted to a 0-30 standard UGR value, forming a standardized parameter set. Then, based on the standardized parameter set, a first mapping relationship is established by polynomial regression analysis to determine the spectral correlation function f1(x) between the color temperature coordinates and the color rendering index. Subsequently, a second mapping relationship is established by using a time-frequency analysis method to construct a time sequence correlation model f2(y) between the flicker percentage and the driving waveform. Then, a third mapping relationship is established by using ray tracing simulation to form a spatial correlation equation f3(z) between the glare threshold and the optical distribution. Finally, the three mapping relationships are integrated by a weighted fusion algorithm, the weight coefficients w1, w2 and w3 can be set to 0.45, 0.35 and 0.20, respectively, and a multi-dimensional mathematical model of light quality F = w1f1(x) + w2f2(y) + w3*f3(z) is constructed. The model can comprehensively evaluate and optimize the multi-dimensional light quality characteristics of the lighting system and provide a unified light quality control benchmark for different types of lamps.

[0047] In some embodiments, based on the standardized parameter set, a first mapping relationship is established by polynomial regression analysis. In specific implementation, a large number of color rendering index test data under different color temperature coordinates are collected as a sample set. Polynomial regression analysis is performed on the sample data, and the function relationship between the color temperature coordinates and the color rendering index is fitted by the least square method. According to the goodness-of-fit index, the optimal polynomial order is determined, and the spectral correlation function f1(x) between the color temperature coordinates and the color rendering index is established. The function can accurately describe the influence law of color temperature change on the color rendering index and provide mathematical model support for subsequent light quality optimization. Through the function, the theoretical color rendering index under any color temperature coordinate can be predicted, and the color temperature coordinate range required to reach the target color rendering index can also be back calculated.

[0048] In some embodiments, a time-frequency analysis method is employed to establish the second mapping relationship, focusing on the time sequence correlation between the flicker percentage and the driving waveform. Specifically, the light source output signals under different PWM driving waveforms are collected, including standard square wave, triangular wave, sinusoidal wave, and S-shaped curve. The light output time sequence data is recorded by a high-precision light sensor. Then, the collected light signals are processed by short-time Fourier transform to extract the energy distribution characteristics and calculate the flicker percentage parameter S = (Lmax - Lmin) / (Lmax + Lmin) x 100%, where Lmax and Lmin are the maximum and minimum values of the light output waveform, respectively. At the same time, the driving waveform is parameterized to extract four key characteristic quantities: frequency y, rise time tr, fall time tf, and harmonic content H. The frequency y is normalized as the core independent variable and mapped to the 0-1 interval. Subsequently, wavelet transform is used for time-frequency joint analysis to determine the nonlinear relationship between the flicker percentage and the driving waveform parameters, and a cubic polynomial time sequence correlation model f2(y) = b0 + b1y + b2y 2 +b3y 3 is established, where y represents the normalized PWM frequency parameter. The model coefficients b0, b1, b2, and b3 are determined by an iterative optimization algorithm. To enhance the applicability of the model, a waveform type correction factor k is introduced, which is modified for S-shaped curve, triangular wave, sinusoidal wave, and square wave to form the modified time sequence correlation model f2'(y) = k x f2(y). The final time sequence correlation model successfully quantifies the mapping relationship between the driving waveform parameters and the flicker characteristics.

[0049] In some embodiments, after obtaining the standardized parameter set containing the glare threshold and the optical distribution parameters, a ray tracing simulation technique is employed to establish the spatial mapping relationship between them. First, the optical system structure of the luminaire needs to be precisely defined in the optical design software, including the light source chip size, lens curve equation, reflector geometric profile, and other key optical distribution parameters. Then, by setting millions of rays, non-sequential tracing simulation is performed to calculate the energy distribution of the rays in space, generating light distribution curves, illuminance distribution maps, and brightness distribution cloud maps, and other optical output characteristic data. During the simulation process, the eye observation position and viewing angle need to be considered to simulate the visual perception effect in real scenarios. Then, based on the ray tracing results, the optical parameters directly related to glare evaluation are extracted, including the unified glare value, threshold increment, and light source brightness distribution uniformity. Correlation analysis is performed between these simulation data and the measured glare threshold, and a multivariate regression method is used to establish the spatial correlation equation f3(z).

[0050] This equation f3(z) quantitatively describes the nonlinear influence of changes in optical distribution parameters on the glare threshold, such as the suppression effect of lens curvature adjustment on the glare value, or the improvement degree of reflector angle optimization on the light distribution uniformity.

[0051] In some embodiments, further comprising: collecting intensity values and color temperature coordinates of natural light in real time; inputting the collected intensity values and color temperature coordinates into a preset ambient light parameter mapping table to generate corresponding reference proportions; calculating working current proportion coefficients required by light emitting chips of each lamp based on the reference proportions; transmitting the working current proportion coefficients to driving circuits of corresponding lamps to adjust actual working currents of the light emitting chips of the corresponding lamps.

[0052] Specifically, during the operation of the lighting system, the environmental light sensors deployed in the scene continuously collect real-time intensity values and color temperature coordinate data of natural light. The sensors convert the collected optical parameters into electrical signals and transmit them to the central controller.

[0053] After receiving the sensor data, the central controller inputs it into the prestored ambient light parameter mapping table for matching query. The mapping table stores reference proportion parameters of artificial lighting corresponding to different natural light conditions, and generates a reference proportion value matched with the current ambient light through table lookup operation.

[0054] Then, based on the obtained reference proportion value, the computing unit of the controller runs an adaptive algorithm, combines the preset light color parameters of each lamp, and dynamically calculates the working current proportion coefficients required by the RGBW light emitting chips of each lamp in the scene. This calculation process ensures that the light color of artificial lighting can change in synchronization with natural light.

[0055] Subsequently, the controller transmits the calculated working current proportion coefficients to the driving circuits of each lamp through the communication bus. The driving circuits adjust the current values output to each light emitting chip in real time according to the received coefficients to accurately control the light emitting intensity of the chips.

[0056] Through the above closed-loop control process, the system realizes dynamic balance and seamless integration of artificial lighting and natural light, making the light environment of the entire scene always maintain visual harmony and consistency.

[0057] The present embodiment establishes a real-time control link from environmental light monitoring to lamp driving, effectively solving the problem of inconsistent scene light color caused by changes in natural light, and improving the environmental adaptability and user experience of the lighting system.

[0058] In this embodiment, when all application lamps in the same space are turned on, and the brightness needs to be different in different areas of the same space, the lamps in this area are paired with the remote control, and the required brightness of the lamps in this area is adjusted through the remote control. Long press the relevant definition area key for two seconds, the controller has a display light that flashes twice, and the definition is successful. The area is memorized, and the next time it is called, only one press of the relevant area key is required (for example, a high-level business club with the same color temperature and different brightness requirements for different areas of customers). The above records the working current proportion of each lamp at the moment through the program. When the key is pressed again, the controller receives the signal and outputs the corresponding working current proportion, ensuring that the defined area brightness is reproduced.

[0059] In particular, it further comprises: receiving a user inputted space division instruction, logically grouping multiple lamps in the same lighting scene, and generating multiple custom area groups; For each custom area group, performing a batch lamp address identification and control channel binding operation, and establishing a mapping relationship library of area identifiers and control addresses of all lamps in the custom area group; Based on the mapping relationship library, receiving the independent brightness level parameters set by the user for each custom area group, and converting the brightness level parameters into corresponding lamp working current proportion configurations to form a linkage control strategy; When receiving a target area identifier, parsing the target area identifier to obtain a parsing result; Based on the parsing result, extracting the current configuration parameter set of the corresponding custom area group from the linkage control strategy, and controlling the opening of the lamps in the corresponding custom area group according to the current configuration parameter set.

[0060] More specifically, in the implementation of the present application, in order to realize the fine partition control of complex lighting scenes, the system will first receive a user inputted space division instruction through its configuration interface, such as a dedicated mobile application or a wall-mounted control panel. This instruction clearly defines the logical boundaries of different functional areas within the same physical space, such as dividing a large banquet hall into a reception area, a main dining area, and a rest area. The system will logically group multiple lamps, such as light strips, linear lights, neon lights, and spotlight lamps, deployed in the scene according to these instructions, and generate multiple corresponding custom area groups. Each custom area group represents an independently controllable lighting unit.

[0061] For each established custom area group, the system performs efficient batch luminaire address recognition and control channel binding operations. This process is usually completed through automated wireless protocol (such as Zigbee or Bluetooth Mesh) scanning, and the system identifies the unique physical addresses (MAC addresses or short addresses) of all luminaires in the logical group at one time. Subsequently, the system assigns a logical area identifier (e.g. Area_01) to each group and binds it with the control addresses of all luminaires in the group, finally establishing a clear structure of the area identifier and the mapping relationship of the control addresses of all luminaires in the group. This mapping relationship library is the core foundation for subsequent implementation of precise control of the partition.

[0062] After completing the grouping and address binding, the system receives the independent brightness level parameters set by the user for each custom area group based on the mapping relationship library constructed. These parameters can be percentage values (such as 100% for the welcome area and 30% for the rest area). The system internally pre-stores a conversion algorithm between brightness levels and luminaire operating current, which takes into account the light efficiency curve and the linearity of visual perception to convert abstract brightness level parameters into specific and executable luminaire operating current proportion configurations. For example, a higher brightness level corresponds to a higher white light chip current proportion. Finally, the system forms a complete linkage control strategy that records the brightness requirements and their converted specific current driving parameters corresponding to each area identifier.

[0063] When the system is running, the user initiates a control instruction through the interface selection or scene trigger condition (such as a timing task), which contains the target area identifier (e.g. the instruction is to turn on Area_01). After receiving this instruction, the system first analyzes it and identifies that the target operation object is the area group identified as Area_01, thus obtaining a clear analysis result.

[0064] Based on this analysis result, the system immediately retrieves and extracts the complete current configuration parameter set corresponding to the custom area group (Area_01) from the previously formed linkage control strategy. This parameter set contains the accurate operating current values or proportions required by each luminaire in the group under the current setting. Finally, the system transmits control signals containing these current configuration parameters to the drive circuits of all luminaires in the Area_01 group through a unified communication network. The drive circuits adjust the output synchronously according to the instructions, thus precisely controlling all luminaires in the group to turn on and operate according to the preset brightness level, achieving one-key and fine control of regional lighting.

[0065] This embodiment converts complex physical space lighting management into intuitive logical group operations through the above process, greatly improving the convenience and flexibility of lighting control in large or multi-functional places, while ensuring high uniformity of light color and brightness within the same area.

[0066] In some embodiments, a long-press signal with a duration longer than two seconds is received from the remote controller, and a target scene identifier is identified; actual working current proportion data of all light emitting chips in the current space are collected; the working current proportion data are bound to the target scene identifier and stored in a corresponding scene configuration area of the non-volatile memory; a state indicator light is controlled to blink twice at a preset frequency to feed back a scene definition completion state; a short-press signal with a duration less than one second is received from the remote controller, and a scene identifier in the signal is parsed; working current proportion data associated with the scene identifier are retrieved from the non-volatile memory based on the scene identifier; the retrieved working current proportion data are converted into PWM driving parameters; and the PWM driving parameters are distributed to driving circuits of corresponding lamps in the space through a communication bus to adjust the working current proportions of the light emitting chips of the lamps to reproduce the defined lighting color temperature and brightness parameters.

[0067] This embodiment forms a complete closed loop from scene definition to scene calling, the data transmission logic of each step is rigorous, there is no redundant link, the risk of system operation failure is reduced, and the stability of long-term use is improved.

[0068] In some embodiments, building geometry data of a physical space, surface material spectral reflectance characteristics, and lamp optical performance parameters are obtained; a three-dimensional space grid model is constructed based on the building geometry data, the surface material spectral reflectance characteristics are mapped to the corresponding grid surfaces, and the lamp optical performance parameters are integrated to form a light environment digital model; lamp position coordinates and irradiation direction parameters are arranged in the light environment digital model to generate a lighting scheme configuration file; a Monte Carlo ray tracing algorithm is applied, virtual photons are emitted according to the lighting scheme configuration file, energy attenuation and chrominance change of the photons after interacting with the surface materials are calculated, and a spatial light distribution data set is generated; the spatial light distribution data set is converted into a visual rendering image and displayed on an interactive design interface; adjustment instructions of the user for the lamp positions or parameters are received, and the lighting scheme configuration file is updated; the ray tracing calculation is re-executed based on the updated lighting scheme configuration file, and the visual rendering image is refreshed in real time to provide instant preview of the lighting effect.

[0069] Specifically, the specific implementation process of constructing a physical space light environment digital model includes the following steps: first, complete building geometry data of the target space are obtained through a building information model system, including space size, structure member size, and position coordinates, etc. At the same time, spectral reflectance characteristic parameters of each surface material in the space are collected by using a spectral measurement device, including the reflection characteristic curves of wall paint, floor material, decorative material, etc. under different wavelengths of light. Complete optical performance parameters of the lamps to be selected are obtained from the lamp supplier, including key parameters such as light distribution curve data, spectral power distribution, and luminous efficiency, etc.

[0070] Then based on the acquired building geometry data, a three-dimensional modeling engine is used to construct a spatial mesh model, which divides the entire space into millions of tiny triangular facets. The measured surface material spectral reflectance characteristic parameters are mapped to the corresponding grid surface through material mapping technology to establish a digital material library with real optical characteristics. At the same time, the optical performance parameters of various lamps are integrated into the model database to form a complete digital light environment model, which can accurately reflect the propagation characteristics of light in space.

[0071] Then in the completed digital light environment model, the installation position coordinates and irradiation direction parameters of each lamp are set according to the lighting design scheme. The position coordinates are accurately positioned using a three-dimensional coordinate system, and the irradiation direction is defined by the pitch angle and azimuth angle. The system generates a lighting scheme configuration file containing complete configuration information according to the arrangement parameters of all lamps. The file is stored in a standardized format and contains all information such as lamp model, position, direction, control parameters, etc.

[0072] Then the Monte Carlo ray tracing algorithm is applied to emit hundreds of millions of virtual photons in the virtual environment according to the lighting scheme configuration file. Each photon carries specific energy and spectral information, and interacts with the surface material during propagation. The system calculates the energy attenuation and chrominance change after the photon interacts with the material, and determines the absorption, reflection or transmission behavior of the photon through the Russian roulette algorithm. After multiple reflections, the received photon energy and spectral composition of each grid element are counted to generate a spatial light distribution dataset containing the illuminance value, color temperature value and color rendering index of each point in space.

[0073] Then the obtained spatial light distribution dataset is converted into a visual rendering image through a physically-based rendering engine. During the rendering process, the human eye visual characteristics are considered, and the tone mapping technique is used to convert the high dynamic range optical data into an image format suitable for display. The generated rendering image is displayed in real time on the interactive design interface, and the designer can observe the lighting effect from multiple angles, including plan view, three-dimensional sectional view and immersive roaming view.

[0074] When the designer issues an adjustment instruction for the lamp position or optical parameters through the interactive interface, the system updates the lighting scheme configuration file immediately after receiving the instruction. The adjustment content includes the installation position, irradiation angle, light distribution type or light emission parameters of the lamp. Based on the updated configuration file, the system re-executes the Monte Carlo ray tracing calculation and optimizes the calculation efficiency through the incremental update algorithm to quickly generate new spatial light distribution data and refresh the visual rendering image in real time.

[0075] This implementation process enables designers to comprehensively evaluate the effects of the lighting scheme before actual construction, promptly discovering and correcting design flaws through instant preview functions. The system supports rapid comparison of multiple lighting scenarios, and designers can save multiple scheme configurations to compare the visual effects of different schemes side by side. At the same time, the system automatically generates lighting quality evaluation reports, including illumination uniformity, glare index, energy consumption estimation, and other professional indicators, providing data support for scheme optimization.

[0076] Throughout the implementation process, the system maintains high real-time interactivity, and any parameter adjustment can see effect updates within seconds. This instant feedback mechanism greatly improves design efficiency, ensuring that the final implementation scheme can achieve the expected light environment quality. Through precise digital simulation, the trial-and-error costs commonly seen in traditional design methods are effectively avoided, realizing the digitalization and intelligent transformation of the lighting design process.

[0077] In some embodiments, based on the obtained building geometry data, a three-dimensional modeling engine is used to construct a space grid model, dividing the entire space into millions of tiny triangular facets. The measured surface material spectral reflectance characteristic parameters are mapped to the corresponding grid surface through material mapping technology to establish a digital material library with real optical characteristics, including: Based on the building geometry data, the Delaunay triangulation algorithm of the three-dimensional modeling engine is called to generate a space grid model of millions of tiny triangular facets, recording the vertex coordinates and normal vectors of each triangular facet. Material region segmentation is performed on the space grid model to generate a material region identification mapping table. The reflectivity of each material region corresponding physical material in a predetermined wavelength range (such as 380nm to 780nm) is measured using a spectrophotometer to generate a set of spectral reflectance characteristic parameters. The set of spectral reflectance characteristic parameters is associated with the triangular facets corresponding to the material region identification mapping table through UV coordinate mapping, assigning wavelength-dependent reflectance coefficients to the triangular facets. The completed triangular facet data and the set of spectral reflectance characteristic parameters are integrated to construct a digital material library with real optical characteristics, generating a standardized optical parameter file.

[0078] Specifically, the building geometry data is imported into a customized three-dimensional modeling engine, the Delaunay triangulation algorithm parameters are configured, the maximum edge length limit is set to 50mm, and the angle quality threshold is set to 25 degrees to generate a space grid model containing triangular facets. Each triangular facet records the three-dimensional coordinates (X, Y, Z) and surface normal vector (Nx, Ny, Nz) of the three vertices, the coordinates are stored using double-precision floating-point numbers, and the normal vector is normalized to ensure the geometric accuracy of subsequent ray calculations. To optimize storage efficiency, the triangular facet data is organized in an octree spatial index structure to construct a level-of-detail model to adapt to different calculation accuracy requirements.

[0079] After the completion of the spatial mesh model, a semantic segmentation network based on deep learning is used, which inputs the curvature features of the triangular facets, the angle between the normal vectors of adjacent facets, and the texture gradient information. The training set contains labeled building surface samples. The network outputs the material category probability distribution, and the conditional random field is used to optimize the boundary accuracy. Finally, the main material areas in the exhibition hall are identified, including polished marble floor, matte gypsum ceiling, frosted glass partition, oak display cabinet, linen curtain, metal decorative strip, ceramic exhibit, concrete wall, PVC floor, mirror stainless steel column, fabric soft package, and composite stone table top. The system automatically generates a material area identification mapping table, which uses a relational database structure, with the region as the primary key and the fields including the region name, triangular facet index list (storing all triangular facets belonging to the material), boundary triangular facet set, total area of the region, and material physical property label. The mapping table establishes a spatial index to support fast query of the material area to which a specific coordinate point belongs.

[0080] Then, using a spectrophotometer, spectral reflectance measurements are performed on the physical samples. Different sample points are collected for each type of physical sample to avoid the influence of local unevenness. For high-reflectivity materials such as mirror stainless steel, an 8-degree angle geometry condition is used; for diffuse reflection materials such as linen curtains, an integrating sphere diffuse illumination mode is used. The original data is smoothed using a Savitzky-Golay filter to remove measurement noise, generating a set of spectral reflectance characteristic parameters, including the wavelength axis, reflectance matrix, and measurement metadata.

[0081] Subsequently, UV unwrapping is independently performed for each material area, using the minimum stretching mapping strategy to optimize the texture coordinate distribution. Orthogonal projection is used for regular planar areas such as gypsum ceilings, cylindrical unwrapping is used for column structures, and gradual parameterization methods are used for complex curved surfaces. The mapping process records the bidirectional index of UV coordinates and triangular facets, establishing an accurate association between the material area identification mapping table and the spectral reflectance characteristic parameter set. When assigning wavelength-dependent reflectance coefficients to each triangular facet, a trilinear interpolation method is used to interpolate in the UV space, wavelength dimension, and incident angle dimension, generating a complete bidirectional spectral reflectance distribution function. For metal materials, additional complex refractive index parameters are calculated to separate the diffuse reflection and specular reflection components; for translucent materials such as frosted glass, the subsurface scattering coefficient is calculated to enhance the realism of the optical model.

[0082] In the final integration stage, a multi-level digital material library is constructed. The basic layer stores the original triangular facet geometry data and normal vectors; the intermediate layer stores the material spectral characteristics and UV mapping relationships; and the top layer stores the optical model parameters, including the Fresnel coefficient, roughness parameter, and subsurface scattering characteristics.

[0083] The embodiment can establish a digital model highly consistent with real space, accurately reflect the propagation characteristics of light in space, and provide a reliable simulation platform for optimization and evaluation of lighting schemes.

[0084] Please refer to Figure 5 The embodiment provides a scene light color consistency implementation device 200, which comprises the following. A lamp obtaining unit 201 is configured to obtain lamp types to be applied to the same lighting scene, wherein the lamp types comprise at least two of a lamp strip, a neon, a linear lamp and a cylinder spotlight; wherein the lamp strip, the neon and the linear lamp are all configured with a normal light source or a chip-level inverted light source; and the cylinder spotlight is configured with a board-driven chip-level packaged light source. A current obtaining unit 202 is configured to obtain working currents of respective light emitting chips of the lamp strip, the neon, the linear lamp and the cylinder spotlight under respective standard color temperature tests. A calculation unit 203 is configured to calculate working current proportions of the respective light emitting chips under the respective standard color temperatures according to the working currents of the respective light emitting chips of the lamp strip, the neon, the linear lamp and the cylinder spotlight. A running unit 204 is configured to, when a user selects a corresponding standard color temperature, obtain the working current proportions of the respective light emitting chips of the lamp strip, the neon, the linear lamp and the cylinder spotlight according to the standard color temperature, and control the corresponding light emitting chips to run according to the working current proportions.

[0085] Further, the current obtaining unit 202 comprises the following. A coordinate obtaining subunit is configured to obtain standard blackbody coordinates and color temperature coordinates of respective types of lamps measured in a darkroom environment. A comparison subunit is configured to compare the color temperature coordinates with the standard blackbody coordinates to generate coordinate deviation data. A parameter calculation subunit is configured to calculate working current correction parameters of light emitting chips in respective lamps based on the coordinate deviation data. A current adjustment subunit is configured to adjust the working currents of the light emitting chips of the lamps according to the working current correction parameters.

[0086] Further, the embodiment further comprises the following. A data acquisition unit is configured to acquire spectral data output by the lamps in real time. A parameter comparison unit is configured to compare the spectral data with preset standard blackbody line parameters to generate a spectral deviation value. A proportion calculation unit is configured to calculate a working current correction proportion of the light emitting chips in the lamps based on the spectral deviation value. A current correction unit is configured to adjust the working currents of the light emitting chips in the lamps according to the working current correction proportion.

[0087] Further, it also includes: A model construction unit is configured to construct a light quality multi-dimensional model containing color temperature coordinates, color rendering index, stroboscopic percentage and glare threshold parameters; A color temperature acquisition unit is configured to acquire a target color temperature; A proportion calculation unit is configured to calculate, through the light quality multi-dimensional model, a working current proportion of a light emitting chip of each type of lamp at the target color temperature, to generate a basic driving parameter set; A parameter determination unit is configured to determine, according to the basic driving parameter set, a PWM modulation frequency, a phase difference and a nonlinear driving waveform parameter corresponding to the light emitting chip of each type of lamp; A signal adjustment unit is configured to adjust a driving signal of the light emitting chip of each type of lamp through the PWM modulation frequency, the phase difference and the nonlinear driving waveform parameter.

[0088] Further, the model construction unit includes: A parameter definition subunit is configured to define a basic parameter set containing color temperature coordinate parameters, color rendering index parameters, stroboscopic percentage parameters, driving waveforms, optical distribution and glare threshold parameters; A dimension processing subunit is configured to generate a standardized parameter set by performing standardized dimension processing on each parameter in the basic parameter set; A relationship establishing subunit is configured to establish, based on the standardized parameter set, a first mapping relationship for characterizing the spectral correlation between color temperature coordinates and color rendering index, a second mapping relationship for characterizing the timing correlation between stroboscopic percentage and driving waveform, and a third mapping relationship for characterizing the spatial correlation between glare threshold and optical distribution; A weighted fusion subunit is configured to construct a light quality multi-dimensional mathematical model through a weighted fusion algorithm based on the first mapping relationship, the second mapping relationship and the third mapping relationship.

[0089] Further, it also includes: A real-time acquisition unit is configured to acquire, in real time, intensity values and color temperature coordinates of natural light; A parameter input unit is configured to input the acquired intensity values and color temperature coordinates into a preset ambient light parameter mapping table to generate corresponding reference proportions; A coefficient calculation unit is configured to calculate, based on the reference proportions, working current proportion coefficients required by the light emitting chips of each lamp; A coefficient transmission unit is configured to transmit the working current proportion coefficients to the driving circuits of the corresponding lamps to adjust the actual working currents of the light emitting chips of the corresponding lamps.

[0090] Further, it also includes: A logic grouping unit is configured to receive a user inputted space division instruction, logically group a plurality of luminaires in a same lighting scene, and generate a plurality of custom area groupings. An operation execution unit is configured to perform, for each of the custom area groupings, a batch luminaire address identification and control channel binding operation, and establish a mapping relationship database between an area identifier and control addresses of all luminaires in the custom area grouping. A conversion unit is configured to receive, based on the mapping relationship database, a user set independent brightness level parameter for each custom area grouping, and convert the brightness level parameter into a corresponding luminaire working current proportion configuration to form a linkage control strategy. An analysis unit is configured to, when receiving a target area identifier, analyze the target area identifier to obtain an analysis result. A parameter extraction unit is configured to, based on the analysis result, extract a current configuration parameter set of a corresponding custom area grouping from the linkage control strategy, and control turning on of luminaires in the corresponding custom area grouping according to the current configuration parameter set.

[0091] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-mentioned device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0092] The application further provides a computer readable storage medium having a computer program stored thereon, the computer program being executable to implement the method provided in the above embodiments. The storage medium can include a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0093] The application further provides a computer device, which can include a memory and a processor, the memory having a computer program stored therein, and the processor being capable of invoking the computer program in the memory to implement the method provided in the above embodiments. Of course, the computer device can further include various network interfaces, power supplies and other components.

[0094] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make various improvements and modifications to this invention without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this invention.

[0095] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusivity.

[0096] The term "comprises" implies that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for achieving scene light and color consistency, characterized in that, include: The types of luminaires to be applied to the same lighting scene are obtained, and the luminaire types include at least two of the following: light strip, neon, linear light, and downlight; wherein the light strip, neon, and linear light are all equipped with upright light sources or chip-level flip light sources; and the downlight is equipped with on-board driver chip-level packaged light sources. Obtain the operating current of each light-emitting chip corresponding to the light strip, the neon, the linear light, and the downlight under each standard color temperature test; The percentage of the operating current of each light-emitting chip in the light strip, the neon light, the linear light, and the downlight is calculated based on the operating current of each light-emitting chip in each standard color temperature. When the user selects the corresponding standard color temperature, the operating current ratio of each light-emitting chip of the light strip, the neon, the linear light and the downlight is obtained according to the standard color temperature, and the operation of the corresponding light-emitting chip is controlled according to the operating current ratio.

2. The method for achieving scene light and color consistency according to claim 1, characterized in that, The step of obtaining the operating current of each light-emitting chip corresponding to the light strip, the neon light, the linear light, and the downlight under various standard color temperatures includes: Obtain standard blackbody coordinates and color temperature coordinates of various types of luminaires measured in a darkroom environment; Coordinate deviation data is generated by comparing the color temperature coordinates with the standard blackbody coordinates. The working current correction parameters of the light-emitting chips in each lamp are calculated based on the coordinate deviation data. The operating current of the light-emitting chip of the lamp is adjusted according to the operating current correction parameter.

3. The method for achieving scene light and color consistency according to claim 1, characterized in that, Also includes: Real-time acquisition of spectral data output by the lighting fixtures; The spectral data is compared with preset standard blackbody line parameters to generate spectral deviation values; The working current correction ratio of the light-emitting chip in the lamp is calculated based on the spectral deviation value; The operating current of the light-emitting chip in the lamp is adjusted according to the operating current correction ratio.

4. The method for achieving scene light and color consistency according to claim 1, characterized in that, Also includes: Construct a multi-dimensional light quality model that includes parameters such as color temperature coordinates, color rendering index, flicker percentage, and glare threshold; Obtain the target color temperature; The operating current ratio of the light-emitting chip of each type of lamp at the target color temperature is calculated using the aforementioned multi-dimensional light quality model to generate a set of basic driving parameters. The PWM modulation frequency, phase difference, and nonlinear driving waveform parameters corresponding to the light-emitting chips of each type of lamp are determined based on the basic driving parameter set. The driving signal of the light-emitting chip of various types of lamps is adjusted by adjusting the PWM modulation frequency, phase difference, and nonlinear driving waveform parameters.

5. The method for achieving scene light and color consistency according to claim 4, characterized in that, The construction of the multidimensional light quality model, which includes color temperature coordinates, color rendering index, flicker percentage, and glare threshold parameters, includes: Define a basic parameter set that includes color temperature coordinate parameters, color rendering index parameters, flicker percentage parameters, drive waveform, optical distribution parameters, and glare threshold parameters; A standardized parameter set is generated by standardizing the dimensions of each parameter in the basic parameter set. Based on the standardized parameter set, a first mapping relationship is established to characterize the spectral correlation between color temperature coordinates and color rendering index, a second mapping relationship is established to characterize the temporal correlation between flicker percentage and driving waveform, and a third mapping relationship is established to characterize the spatial correlation between glare threshold and optical distribution. Based on the first, second, and third mapping relationships, a multidimensional mathematical model of optical quality is constructed using a weighted fusion algorithm.

6. The method for achieving scene light and color consistency according to claim 1, characterized in that, Also includes: Real-time acquisition of natural light intensity and color temperature coordinates; Input the collected intensity values ​​and color temperature coordinates into a preset ambient light parameter mapping table to generate the corresponding reference ratio; The required operating current ratio of each lamp's light-emitting chip is calculated based on the aforementioned benchmark ratio. The operating current ratio coefficient is transmitted to the driving circuit of the corresponding lamp to adjust the actual operating current of the light-emitting chip of the corresponding lamp.

7. The method for achieving scene light and color consistency according to claim 1, characterized in that, Also includes: Receive spatial division instructions from the user, logically group multiple lamps in the same lighting scene, and generate multiple custom area groups; For each of the custom area groups, perform batch lamp address identification and control channel binding operations to establish a mapping relationship library between area identifiers and the control addresses of all lamps in the custom area group; Based on the mapping relationship library, the system receives the independent brightness level parameters set by the user for each custom area group, and converts the brightness level parameters into the corresponding lamp working current ratio configuration to form a linkage control strategy. When a target region identifier is received, the target region identifier is parsed to obtain the parsing result; Based on the analysis results, the current configuration parameter set of the corresponding custom area group is extracted from the linkage control strategy, and the lamps in the corresponding custom area group are turned on according to the current configuration parameter set.

8. A device for achieving scene light and color consistency, characterized in that, include: The lighting fixture acquisition unit is used to acquire the types of lighting fixtures to be applied to the same lighting scene. The lighting fixture types include at least two of the following: light strips, neon lights, linear lights, and downlights. The light strips, neon lights, and linear lights are all equipped with upright light sources or chip-level flip-chip light sources. The downlights are equipped with onboard driver chip-level packaged light sources. The current acquisition unit is used to acquire the operating current of each light-emitting chip of the light strip, the neon, the linear light and the downlight under each standard color temperature test. The calculation unit is used to calculate the percentage of the operating current of each light-emitting chip at each standard color temperature based on the operating current of each light-emitting chip of the light strip, the neon, the linear light, and the downlight. The operating unit is used to obtain the operating current ratio of each light-emitting chip of the light strip, the neon, the linear light and the downlight according to the standard color temperature when the user selects the corresponding standard color temperature, and control the operation of the corresponding light-emitting chip according to the operating current ratio.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the scene light and color consistency implementation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the scene light and color consistency implementation method as described in any one of claims 1 to 7.

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