A multi-primary light control system and method
Through environmental monitoring and parameter processing, and using improved evolutionary algorithms and model fitting to calculate spectral compensation values, the lighting stability problem of multi-primary color LED lamps when environmental factors change is solved, and the stability and accuracy of multi-primary color LED lighting are improved.
Patent Information
- Application Number
- CN202510431184.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-08
- Publication Date
- 2025-10-21
- Estimated Expiration
- 2045-04-08
AI Technical Summary
When environmental factors change, the lighting stability of multi-primary color LED lamps is low and they are seriously affected by ambient temperature and humidity.
The ambient environment parameters are obtained through the environmental monitoring module, and the adjustment data of the primary color lights are calculated using the parameter processing module. The central control module controls the system and uses the improved evolutionary algorithm and Gaussian and double Gaussian models to fit the spectrum compensation values and adjust each primary color light individually.
The stability and control accuracy of multi-primary color LED lighting are improved, and the lighting stability under changing environmental factors is enhanced.
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Figure CN119997310B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of lighting control, and in particular to a multi-primary color lighting control system and method. Background Art
[0002] Multi-primary LED lights are capable of emitting multiple colors, such as the common red, green, and blue (RGB) and red, green, blue, and white (RGB). Compared to single-primary LED lights, multi-primary LED lights can produce a variety of visible light colors by adjusting the brightness of different primary colors. Therefore, they have a wide range of applications in various fields, including display and decoration. In leisure and entertainment venues, multi-primary LED lights are often used to illuminate wall shapes or surfaces, creating a diverse visual effect and creating a desired atmosphere.
[0003] When multi-primary color lights are exposed to environmental changes, such as temperature and humidity, the light source parameters of each primary color will be affected to varying degrees, causing the mixed light to change, which in turn affects the overall visual effect. Compared to single-primary color LED lights, multi-primary color LED lights that require mixing multiple primary colors are more severely affected by these environmental factors and have lower lighting stability. Summary of the Invention
[0004] The present invention aims to provide a multi-primary light control system and method to address the issue of low lighting stability in multi-primary LED lamps when environmental factors change. This system obtains ambient parameters of the multi-primary LED light source, calculates the data required to adjust each primary light based on environmental changes, and independently controls each primary light, thereby improving the stability of the multi-primary LED lighting.
[0005] The purpose of the present invention is achieved by the following technical means:
[0006] In a first aspect, the present invention provides a multi-primary color lighting control system, comprising: an environment monitoring module, a parameter processing module, and a central control module;
[0007] The environmental monitoring module is used to obtain environmental parameters of the surrounding environment;
[0008] The parameter processing module is used to calculate the adjustment data of each primary color light according to the environmental parameters;
[0009] The central control module is used to control each primary color light according to the adjustment data.
[0010] Preferably, the environment monitoring module includes: a temperature acquisition module and a humidity acquisition module;
[0011] The temperature acquisition module is used to obtain the ambient temperature of the surrounding environment;
[0012] The humidity acquisition module is used to acquire the ambient humidity of the surrounding environment.
[0013] Preferably, the parameter processing module is used to calculate the adjustment data of each primary color light according to the environmental parameters, including:
[0014] Obtaining a first spectral power distribution of each primary color light according to the ambient temperature;
[0015] Calculating a first luminous flux and a first color coordinate of each primary color light according to the first spectral power distribution;
[0016] According to the ambient humidity, the second spectral power distribution of each primary color light is obtained;
[0017] Calculating the second luminous flux and the second color coordinate of each primary color light according to the second spectral power distribution;
[0018] Calculating a spectral compensation value using an improved evolutionary algorithm according to the first spectral power distribution, the first luminous flux, the first color coordinates, the second spectral power distribution, the second luminous flux, and the second color coordinates;
[0019] The calculation formula of the spectrum compensation value is as follows:
[0020] ;
[0021] in, is the first spectral power distribution, is the spectral power distribution at the initial temperature, is the first luminous flux, is the luminous flux at the initial temperature, is the first horizontal axis, is the abscissa of the initial temperature, is the first vertical coordinate, is the ordinate of the initial temperature, is the second spectral power distribution, is the spectral power distribution of the initial humidity, is the second luminous flux, is the luminous flux at the initial humidity, is the second horizontal axis, is the abscissa of the initial humidity, is the second vertical coordinate, is the ordinate of the initial humidity, , , … is the weight.
[0022] Preferably, the calculating of the spectrum compensation value by using an improved evolutionary algorithm comprises:
[0023] Randomly generate the initial population according to the preset population size and optimization dimension;
[0024] Performing differential calculation on the first individual in the initial population, the second individual in the initial population, and the optimal individual in historical variation to obtain a difference vector;
[0025] performing a mutation operation on the first individual according to the difference vector to obtain a mutation vector;
[0026] Performing a cross operation on the mutation vector and the first individual to obtain a test vector;
[0027] The fitness of the test vector and the first individual is calculated, and the individual with higher fitness is selected to replace the first individual.
[0028] Preferably, the control system further comprises: a temperature fitting module and a humidity fitting module;
[0029] The temperature fitting module is used to fit the lighting data and temperature of each primary color light to obtain a temperature model;
[0030] The humidity fitting module is used to fit the lighting data and humidity of each primary color light to obtain a humidity model.
[0031] Preferably, the temperature fitting module is used to fit the lighting data and temperature of each primary color light to obtain a temperature model, including:
[0032] Obtaining first spectral power distributions of each primary color light at several temperatures under initial humidity;
[0033] Fitting the first spectral power distribution using a Gaussian model to extract the integrated area, full width at half maximum, and peak wavelength at each temperature;
[0034] Fitting the integrated area, the full width at half maximum, the peak wavelength, and the temperature to obtain the temperature model;
[0035] The Gaussian model is expressed as follows:
[0036] ;
[0037] in, is the first spectral power distribution, is the integrated area, is the full width at half maximum, is the peak wavelength.
[0038] Preferably, the humidity fitting module is used to fit the lighting data and humidity of each primary color light to obtain a humidity model, including:
[0039] Obtaining a second spectral power distribution of each primary color light at a certain humidity and an initial temperature;
[0040] The second spectral power distribution is fitted using a double Gaussian model to extract the integrated area, left half width, right half width and peak wavelength at each humidity;
[0041] Fitting the integrated area, the left half width, the right half width, the peak wavelength, and the humidity to obtain the humidity model;
[0042] The formula of the double Gaussian model is as follows:
[0043] ;
[0044] in, is the second spectral power distribution, is the integrated area, is the peak wavelength, is the left half width, The right half width.
[0045] In a second aspect, the present invention provides a multi-primary color light control method, which is applied to a multi-primary color light control system as described above, comprising:
[0046] Obtain the ambient temperature and humidity of the surrounding environment;
[0047] Calculating spectral compensation values of each primary color light according to the ambient temperature and the ambient humidity;
[0048] Controlling each primary color light according to the spectrum compensation value;
[0049] The calculation formula of the spectrum compensation value is as follows:
[0050] ;
[0051] in, is the first spectral power distribution, is the spectral power distribution at the initial temperature, is the first luminous flux, is the luminous flux at the initial temperature, is the first horizontal axis, is the abscissa of the initial temperature, is the first vertical coordinate, is the ordinate of the initial temperature, is the second spectral power distribution, is the spectral power distribution of the initial humidity, is the second luminous flux, is the luminous flux at the initial humidity, is the second horizontal axis, is the abscissa of the initial humidity, is the second vertical coordinate, is the ordinate of the initial humidity, , , … is the weight.
[0052] In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the memory is used to store computer program code, and the computer program code comprises computer instructions. When the processor executes the computer instructions, the electronic device executes the above-mentioned multi-primary color lighting control method.
[0053] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the above-mentioned multi-primary color lighting control method.
[0054] Compared with the prior art, the present invention has the following beneficial effects:
[0055] The present invention obtains the ambient parameters of the multi-primary color LED light source, calculates the data that needs to be adjusted for each primary color light according to changes in the ambient environment, and controls each primary color light independently, thereby improving the stability of the multi-primary color LED lighting.
[0056] The present invention obtains the ambient temperature and humidity of the environment surrounding the multi-primary color LED light source, calculates the adjustment data of each primary color light according to the changes in the ambient temperature and humidity, and improves the accuracy of multi-primary color light control;
[0057] The present invention obtains the first spectral power distribution and the second spectral power distribution of each primary color light and uses an improved evolutionary algorithm to calculate the spectral compensation value, thereby improving the accuracy of multi-primary color light control.
[0058] The present invention obtains a temperature model and a humidity model by fitting the lighting data of each primary color light with temperature and humidity respectively, providing a data basis for subsequent adjustment data calculation, thereby improving the control efficiency of multi-primary color lights;
[0059] The present invention uses a Gaussian model to fit the first spectral power distribution of each primary color light, and fits the integrated area, half-maximum full width and peak wavelength with the temperature to obtain a temperature model, which provides a data basis for subsequent adjustment data calculation and improves the control efficiency of multi-primary color lights.
[0060] The present invention adopts a double Gaussian model to fit the second spectral power distribution of each primary color light, and obtains a humidity model by fitting the integral area, left half width, right half width and peak wavelength with humidity respectively, providing a data basis for subsequent adjustment data calculation, thereby improving the control efficiency of multi-primary color lights. BRIEF DESCRIPTION OF THE DRAWINGS
[0061] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.
[0062] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0063] Figure 1 A schematic structural diagram of a multi-primary color lighting control system provided in this embodiment;
[0064] Figure 2 A schematic diagram of the structure of the environmental monitoring module provided in this embodiment;
[0065] Figure 3 A schematic structural diagram of another multi-primary color lighting control system provided in this embodiment;
[0066] Figure 4 A schematic flow chart of a multi-primary color lighting control method provided in this embodiment;
[0067] Figure 5 This is a schematic structural diagram of an electronic device provided in this embodiment. DETAILED DESCRIPTION
[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.
[0069] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0070] In addition, the descriptions of "first", "second", etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.
[0071] This embodiment provides a multi-primary color lighting control system, such as Figure 1 As shown, it includes: environmental monitoring module, parameter processing module and central control module;
[0072] Environmental monitoring module, used to obtain environmental parameters of the surrounding environment;
[0073] Parameter processing module, used to calculate the adjustment data of each primary color light according to the environmental parameters;
[0074] The central control module is used to control each primary color light according to the adjustment data.
[0075] It should be noted that multi-primary color lights will be affected by changes in environmental factors during the lighting process. Therefore, the environmental parameters of the surrounding environment refer to the environmental parameters around the multi-primary color LED light source, which can be obtained by deploying sensors. By processing the obtained environmental parameter data, the adjustment data of each primary color light is calculated.
[0076] In this embodiment, by obtaining the ambient parameters of the multi-primary color LED light source, the data that needs to be adjusted for each primary color light is calculated according to changes in the ambient environment, and each primary color light is controlled independently, thereby improving the stability of the multi-primary color LED lighting.
[0077] In some embodiments, as Figure 2 As shown, the environmental monitoring module includes: a temperature acquisition module and a humidity acquisition module;
[0078] A temperature acquisition module is used to obtain the ambient temperature of the surrounding environment;
[0079] The humidity acquisition module is used to obtain the ambient humidity of the surrounding environment.
[0080] It should be noted that environmental parameters include ambient temperature and humidity, which have the greatest impact on LED light source parameters. Therefore, when controlling multi-primary color lighting, changes in ambient temperature and humidity are primarily considered. By acquiring the temperature and humidity around the light source in real time, adjustment data for each primary color light is calculated. Ambient temperature can be acquired by deploying a temperature sensor, and ambient humidity can be acquired by deploying a humidity sensor.
[0081] In this embodiment, by acquiring the ambient temperature and humidity of the environment surrounding the multi-primary color LED light source and calculating the adjustment data of each primary color light according to the changes in the ambient temperature and humidity, the accuracy of multi-primary color light control is improved.
[0082] In some embodiments, the parameter processing module is used to calculate the adjustment data of each primary color light according to the environmental parameters, including:
[0083] Obtaining a first spectral power distribution of each primary color light according to the ambient temperature;
[0084] Calculating the first luminous flux and the first color coordinate of each primary color light according to the first spectral power distribution;
[0085] According to the ambient humidity, the second spectral power distribution of each primary color light is obtained;
[0086] Calculating the second luminous flux and the second color coordinate of each primary color light according to the second spectral power distribution;
[0087] Calculating a spectral compensation value using an improved evolutionary algorithm according to the first spectral power distribution, the first luminous flux, the first color coordinates, the second spectral power distribution, the second luminous flux, and the second color coordinates;
[0088] The calculation formula of the spectrum compensation value is as follows:
[0089] ;
[0090] in, is the first spectral power distribution, is the spectral power distribution at the initial temperature, is the first luminous flux, is the luminous flux at the initial temperature, is the first horizontal axis, is the abscissa of the initial temperature, is the first vertical coordinate, is the ordinate of the initial temperature, is the second spectral power distribution, is the spectral power distribution of the initial humidity, is the second luminous flux, is the luminous flux at the initial humidity, is the second horizontal axis, is the abscissa of the initial humidity, is the second vertical coordinate, is the ordinate of the initial humidity, , , … is the weight.
[0091] It should be noted that the spectral power distribution is the energy output of the LED light source at each wavelength, with the horizontal axis being the wavelength and the vertical axis being the radiant power. The initial temperature can be the operating temperature of the multi-primary color LED lamp, and the initial humidity can be the operating humidity of the multi-primary color LED lamp. The first spectral power distribution is the spectral power distribution when the temperature is the ambient temperature at a preset initial humidity, and the second spectral power distribution is the spectral power distribution when the humidity is the ambient humidity at a preset initial temperature. The adjustment data includes a spectral compensation value. When calculating the spectral compensation value, the spectral compensation value under the influence of the ambient temperature and the spectral compensation value under the influence of the ambient humidity are considered, and the weight optimization calculation is performed using an improved evolutionary algorithm. After an adjustment is made, when the ambient temperature and / or ambient humidity change again, the ambient temperature and ambient humidity obtained during the last control can also be used as the initial temperature and initial humidity for calculation, and the calculated compensation value can be adjusted to the value after the last adjustment.
[0092] In this embodiment, the first spectral power distribution and the second spectral power distribution of each primary color light are obtained, and the spectrum compensation value is calculated using an improved evolutionary algorithm, thereby improving the accuracy of multi-primary color light control.
[0093] In some embodiments, the spectrum compensation value is calculated using an improved evolutionary algorithm, including:
[0094] Randomly generate the initial population according to the preset population size and optimization dimension;
[0095] Perform differential calculation on the first individual in the initial population, the second individual in the initial population, and the optimal individual in historical mutation to obtain a difference vector;
[0096] Perform mutation operation on the first individual according to the difference vector to obtain a mutation vector;
[0097] Perform a cross operation between the mutation vector and the first individual to obtain the test vector;
[0098] Calculate the fitness of the test vector and the first individual, and select the individual with higher fitness to replace the first individual.
[0099] It should be noted that each individual in the initial population represents a solution. The optimization dimension is the problem dimension. For the calculation of the spectral compensation value described above, the optimization dimension is 8. The mutation and crossover of the first individual based on the difference vector and the subsequent fitness calculation can be performed using the same process as the evolutionary algorithm. Furthermore, the above mutation, crossover, and selection process can be repeated for a set number of iterations to improve optimization performance.
[0100] In this embodiment, the improved evolutionary algorithm is used to calculate the spectrum compensation value, thereby improving the accuracy of multi-primary color light control.
[0101] In some embodiments, as Figure 3 As shown, the control system further includes: a temperature fitting module and a humidity fitting module;
[0102] The temperature fitting module is used to fit the lighting data and temperature of each primary color light to obtain a temperature model;
[0103] The humidity fitting module is used to fit the lighting data and humidity of each primary color light to obtain a humidity model.
[0104] It should be noted that the temperature model is a model in which the spectral parameters of each primary color light vary with temperature, and the humidity model is a model in which the spectral parameters of each primary color light vary with humidity.
[0105] In this embodiment, by fitting the lighting data of each primary color light with temperature and humidity respectively, a temperature model and a humidity model are obtained, which provide a data basis for subsequent adjustment data calculation and improve the control efficiency of multi-primary color lights.
[0106] In some embodiments, the temperature fitting module is used to fit the lighting data and temperature of each primary color light to obtain a temperature model, including:
[0107] Obtaining first spectral power distributions of each primary color light at several temperatures under initial humidity;
[0108] The first spectral power distribution was fitted using a Gaussian model, and the integrated area, full width at half maximum, and peak wavelength at each temperature were extracted.
[0109] The integrated area, half-maximum full width, peak wavelength and temperature are fitted to obtain the temperature model;
[0110] Among them, the formula of Gaussian model is expressed as follows:
[0111] ;
[0112] in, is the first spectral power distribution, is the integrated area, is the full width at half maximum, is the peak wavelength.
[0113] It should be noted that the initial humidity can be the operating humidity of the multi-primary LED lamp. The temperature model fitting process specifically involves obtaining spectral power distributions at different temperatures at preset temperature intervals while maintaining the initial humidity. The obtained first spectral power distributions are fitted using a Gaussian model, and the resulting integral area, full width at half maximum, and peak wavelength are extracted. The integral area is the area of the spectral power distribution pattern, the full width at half maximum is the width between two wavelengths corresponding to half the maximum value of the radiant power, and the peak wavelength is the wavelength corresponding to the maximum radiant power. The spectral parameters obtained above are fitted to the temperature to obtain a temperature model.
[0114] In this embodiment, a Gaussian model is used to fit the first spectral power distribution of each primary color light, and the integral area, half-maximum full width and peak wavelength are respectively fitted with the temperature to obtain a temperature model, which provides a data basis for subsequent adjustment data calculations and improves the control efficiency of multi-primary color lights.
[0115] In some embodiments, the humidity fitting module is used to fit the lighting data and humidity of each primary color light to obtain a humidity model, including:
[0116] Obtaining a second spectral power distribution of each primary color light at a certain humidity and an initial temperature;
[0117] The double Gaussian model was used to fit the second spectral power distribution, and the integrated area, left half width, right half width and peak wavelength at each humidity were extracted.
[0118] The humidity model was obtained by fitting the integrated area, left half width, right half width, peak wavelength and humidity;
[0119] The formula of the double Gaussian model is as follows:
[0120] ;
[0121] in, is the second spectral power distribution, is the integrated area, is the peak wavelength, is the left half width, The right half width.
[0122] It should be noted that the initial temperature can be the operating temperature of a multi-primary color LED lamp. The specific fitting process of the humidity model is to obtain the spectral power distribution at different humidity at preset humidity intervals while maintaining the temperature at the initial temperature, fit the obtained several second spectral power distributions using a double Gaussian model, and extract the obtained integral area, left half width, right half width, and peak wavelength. The integral area is the area of the spectral power distribution pattern, the left half width is the width between the wavelength to the left of the maximum value corresponding to half the maximum value of the radiation power and the wavelength corresponding to the maximum value, and the right half width is the width between the wavelength to the right of the maximum value corresponding to half the maximum value of the radiation power and the wavelength corresponding to the maximum value. The above-obtained spectral parameters are respectively fitted with humidity to obtain a humidity model.
[0123] In this embodiment, a double-Gaussian model is used to fit the second spectral power distribution of each primary color light, and the integral area, left half width, right half width and peak wavelength are respectively fitted with humidity to obtain a humidity model, which provides a data basis for subsequent adjustment data calculations and improves the control efficiency of multi-primary color lights.
[0124] It should be understood that the disclosed system can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the above modules is merely a logical functional division. In actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, each functional module may be integrated into a processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.
[0125] This embodiment provides a multi-primary color light control method, which is applied to the above-mentioned multi-primary color light control system, such as Figure 4 As shown, the following steps are included:
[0126] S1, obtain the ambient temperature and humidity of the surrounding environment;
[0127] S2, calculates the spectrum compensation value of each primary color light according to the ambient temperature and humidity;
[0128] S3, controls each primary color light according to the spectrum compensation value;
[0129] The calculation formula of the spectrum compensation value is as follows:
[0130] ;
[0131] in, is the first spectral power distribution, is the spectral power distribution at the initial temperature, is the first luminous flux, is the luminous flux at the initial temperature, is the first horizontal axis, is the abscissa of the initial temperature, is the first vertical coordinate, is the ordinate of the initial temperature, is the second spectral power distribution, is the spectral power distribution of the initial humidity, is the second luminous flux, is the luminous flux at the initial humidity, is the second horizontal axis, is the abscissa of the initial humidity, is the second vertical coordinate, is the ordinate of the initial humidity, , , … is the weight.
[0132] In this embodiment, by obtaining the ambient temperature and humidity of the environment surrounding the multi-primary color LED light source, the spectral compensation value of each primary color light is calculated according to the changes in the ambient temperature and humidity, and each primary color light is controlled individually, thereby improving the stability of the multi-primary color LED lighting.
[0133] This embodiment provides an electronic device 2, such as Figure 5 As shown, a processor 21 and a memory 22 are provided. The memory 22 is used to store computer program codes. The computer program codes include computer instructions. When the processor 21 executes the computer instructions, the electronic device executes the above-mentioned multi-primary color light control method.
[0134] The electronic device 2 includes a processor 21, a memory 22, an output device 23, and an input device 24. The processor 21, memory 22, output device 23, and input device 24 are coupled via a connector, which may include various interfaces, transmission lines, or buses, etc., although this is not limited in the present embodiment. It should be understood that in various embodiments of the present invention, coupling refers to interconnection in a specific manner, including direct connection or indirect connection through other devices, such as various interfaces, transmission lines, buses, etc.
[0135] The processor 21 may be one or more graphics processing units (GPUs). If the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Alternatively, the processor 21 may be a processor group consisting of multiple GPUs, with the multiple processors coupled to each other via one or more buses. Alternatively, the processor 21 may be other types of processors, and the embodiments of the present invention are not limited thereto.
[0136] The memory 22 can be used to store computer program instructions and various computer program codes, including program codes for executing the solutions of the present invention. Optionally, the memory 22 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or compact disc read-only memory (CD-ROM). The memory 22 is used for related instructions and data.
[0137] The input device 24 is used to input data and / or signals, and the output device 23 is used to output data and / or signals. The output device 23 and the input device 24 can be independent devices or an integrated device.
[0138] This embodiment provides a computer-readable storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the above-mentioned multi-primary color light control method.
[0139] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is intended to be accorded the widest scope consistent with the principles and novel features claimed herein.
Claims
1. A multi-primary color lighting control system, characterized in that: include: Environmental monitoring module, parameter processing module and central control module; The environmental monitoring module is used to obtain environmental parameters of the surrounding environment; The parameter processing module is used to calculate the adjustment data of each primary color light according to the environmental parameters; The central control module is used to control each primary color light according to the adjustment data; The parameter processing module specifically includes: Obtaining a first spectral power distribution of each primary color light according to the ambient temperature; Calculating a first luminous flux and a first color coordinate of each primary color light according to the first spectral power distribution; According to the ambient humidity, the second spectral power distribution of each primary color light is obtained; Calculating the second luminous flux and the second color coordinate of each primary color light according to the second spectral power distribution; Calculating a spectral compensation value using an improved evolutionary algorithm according to the first spectral power distribution, the first luminous flux, the first color coordinates, the second spectral power distribution, the second luminous flux, and the second color coordinates; The calculation formula of the spectrum compensation value is as follows: ; in, is the first spectral power distribution, is the spectral power distribution at the initial temperature, is the first luminous flux, is the luminous flux at the initial temperature, is the first horizontal axis, is the abscissa of the initial temperature, is the first vertical coordinate, is the ordinate of the initial temperature, is the second spectral power distribution, is the spectral power distribution of the initial humidity, is the second luminous flux, is the luminous flux at the initial humidity, is the second horizontal axis, is the abscissa of the initial humidity, is the second vertical coordinate, is the ordinate of the initial humidity, , , … is the weight.
2. A multi-primary color lighting control system according to claim 1, characterized in that: The environmental monitoring module includes: a temperature acquisition module and a humidity acquisition module; The temperature acquisition module is used to obtain the ambient temperature of the surrounding environment; The humidity acquisition module is used to acquire the ambient humidity of the surrounding environment.
3. The multi-primary color lighting control system according to claim 1, characterized in that: The improved evolutionary algorithm is used to calculate the spectrum compensation value, including: Randomly generate the initial population according to the preset population size and optimization dimension; Performing differential calculation on the first individual in the initial population, the second individual in the initial population, and the optimal individual in historical variation to obtain a difference vector; A mutation operation is performed on the first individual according to the difference vector to obtain a mutation vector.
4. A multi-primary color lighting control system according to claim 3, characterized in that: The calculation of the spectrum compensation value by using the improved evolutionary algorithm also includes: Performing a cross operation on the mutation vector and the first individual to obtain a test vector; The fitness of the test vector and the first individual is calculated, and the individual with higher fitness is selected to replace the first individual.
5. The multi-primary color lighting control system according to claim 1, characterized in that: The control system also includes: a temperature fitting module and a humidity fitting module; The temperature fitting module is used to fit the lighting data and temperature of each primary color light to obtain a temperature model; The humidity fitting module is used to fit the lighting data and humidity of each primary color light to obtain a humidity model.
6. A multi-primary color lighting control system according to claim 5, characterized in that: The temperature fitting module is used to fit the lighting data and temperature of each primary color light to obtain a temperature model, including: Obtaining first spectral power distributions of each primary color light at several temperatures under initial humidity; Fitting the first spectral power distribution using a Gaussian model to extract the integrated area, full width at half maximum, and peak wavelength at each temperature; Fitting the integrated area, the full width at half maximum, the peak wavelength, and the temperature to obtain the temperature model; The Gaussian model is expressed as follows: ; in, is the first spectral power distribution, is the integrated area, is the full width at half maximum, is the peak wavelength.
7. The multi-primary color lighting control system according to claim 5, characterized in that: The humidity fitting module is used to fit the lighting data and humidity of each primary color light to obtain a humidity model, including: Obtaining a second spectral power distribution of each primary color light at a certain humidity and an initial temperature; The second spectral power distribution is fitted using a double Gaussian model to extract the integrated area, left half width, right half width and peak wavelength at each humidity; Fitting the integrated area, the left half width, the right half width, the peak wavelength, and the humidity to obtain the humidity model; The formula of the double Gaussian model is as follows: ; in, is the second spectral power distribution, is the integrated area, is the peak wavelength, is the left half width, The right half width.
8. A multi-primary color lighting control method, applied to a multi-primary color lighting control system according to any one of claims 1 to 7, characterized in that: include: Obtain the ambient temperature and humidity of the surrounding environment; Calculating spectral compensation values of each primary color light according to the ambient temperature and the ambient humidity; Controlling each primary color light according to the spectrum compensation value; The calculation formula of the spectrum compensation value is as follows: ; in, is the first spectral power distribution, is the spectral power distribution at the initial temperature, is the first luminous flux, is the luminous flux at the initial temperature, is the first horizontal axis, is the abscissa of the initial temperature, is the first vertical coordinate, is the ordinate of the initial temperature, is the second spectral power distribution, is the spectral power distribution of the initial humidity, is the second luminous flux, is the luminous flux at the initial humidity, is the second horizontal axis, is the abscissa of the initial humidity, is the second vertical coordinate, is the ordinate of the initial humidity, , , … is the weight.
9. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the memory is used to store computer program codes, and the computer program codes include computer instructions. When the processor executes the computer instructions, the electronic device executes the multi-primary color light control method according to claim 8.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the multi-primary color light control method according to claim 8.
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