Spectrum programmable illumination control method and system based on multi-channel narrow-band light source

Abstract

The embodiment of the invention provides a spectrum programmable lighting control method and system based on a multi-channel narrow-band light source. The spectrum programmable lighting control method based on the multi-channel narrow-band light source comprises the following steps: acquiring input data for a target expected spectrum input by a client; determining a spectrum coverage range of the target expected spectrum based on the input data, and selecting a plurality of target light sources of which the wavelengths are within the spectrum coverage range from a plurality of narrow-band light sources of the target lamp; corresponding target mixing coefficients are distributed to all the target light sources, the target mixing coefficients are used for adjusting the output proportion of all the target light sources, and the difference between the synthetic spectrum of the multiple target light sources and the target expected spectrum is smaller than a preset range; and controlling the corresponding target light sources to emit light based on the target mixing coefficients. Therefore, the spectrum of the lamp can be flexibly changed according to requirements.

Description

Technical Field

[0001] This disclosure relates to the field of lighting control technology, and in particular to a spectral programmable lighting control method and system based on a multi-channel narrowband light source. Background Technology

[0002] In the lighting field, white light is often generated by exciting yellow phosphors with blue LEDs or by mixing multi-color white LEDs. While this approach is efficient and low-cost, it suffers from fixed spectra and poor flexibility. In most related technologies, the spectral power distribution data of luminaires is fixed at the factory. When users want to change the spectral shape of a luminaire to suit specific needs, they can only do so by replacing the luminaire itself. This significantly increases the difficulty and cost of replacement, greatly reducing user convenience and making it difficult for users to flexibly change the luminaire's spectrum according to their requirements. Summary of the Invention

[0003] The main objective of this disclosure is to propose a spectral programmable lighting control method and system based on a multi-channel narrowband light source, which can flexibly change the spectrum of the luminaire according to requirements.

[0004] To achieve the above objectives, a first aspect of this disclosure proposes a spectral programmable illumination control method based on a multi-channel narrowband light source, comprising: Obtain the input data from the client regarding the desired spectrum of the target; Based on the input data, the spectral coverage range of the target desired spectrum is determined, and multiple target light sources with wavelengths within the spectral coverage range are selected from multiple narrowband light sources of the target luminaire. Assign a corresponding target mixing coefficient to each of the target light sources, wherein the target mixing coefficient is used to adjust the output ratio of each of the target light sources so that the difference between the synthesized spectrum of the multiple target light sources and the target desired spectrum is less than a preset range; The emission of each target light source is controlled based on the mixing coefficient of each target.

[0005] In some embodiments, assigning corresponding target mixing coefficients to each of the target light sources includes: Each of the target light sources is assigned a corresponding initial mixing coefficient, wherein the initial mixing coefficient is used to adjust the output ratio of each of the target light sources; Based on the current initial mixing coefficients, the spectra of the multiple target light sources are synthesized to obtain an initial synthesized spectrum, and the difference between the current initial synthesized spectrum and the target desired spectrum is calculated; The initial mixing coefficients are iteratively adjusted based on the difference between the current initial synthesized spectrum and the target desired spectrum until the difference after iterative adjustment is less than a preset range, thereby obtaining the target mixing coefficients corresponding to each of the target light sources after adjustment.

[0006] In some embodiments, calculating the difference between the current initial synthesized spectrum and the target desired spectrum includes: Calculate the normalization factor according to the CIE lighting standard; Based on the normalization coefficients, the target desired spectrum and the current initial synthesized spectrum are normalized to obtain the standardized target desired spectrum and the standardized initial synthesized spectrum. The difference between the standardized target desired spectrum and the standardized initial synthesized spectrum is calculated as the difference between the initial synthesized spectrum and the target desired spectrum.

[0007] In some embodiments, calculating the difference between the normalized target desired spectrum and the normalized initial synthesized spectrum as the difference between the initial synthesized spectrum and the target desired spectrum includes: Calculate the variance between the standardized target desired spectrum and the standardized initial synthesized spectrum, and use the variance as the difference between the initial synthesized spectrum and the target desired spectrum.

[0008] In some embodiments, controlling the emission of each target light source based on each target mixing coefficient includes: Obtain a pre-configured optical characteristic mapping table, and find the electrical parameters corresponding to each target light source from the optical characteristic mapping table based on each target mixing coefficient; The emission of light from each target light source is driven by each of the aforementioned electrical parameters.

[0009] To achieve the above objectives, a second aspect of this disclosure provides a spectral programmable lighting control system based on a multi-channel narrowband light source, comprising a control module, a receiving module, and a plurality of narrowband light sources, wherein the control module is electrically connected to the plurality of narrowband light sources and the control module is also electrically connected to the receiving module; The receiving module is used to receive input data from the client for the target desired spectrum; The control module is used to execute the spectral programmable lighting control method based on a multi-channel narrowband light source as described in any of the first aspect embodiments. In some embodiments, each of the narrowband light sources is configured with a corresponding drive control module, and each of the narrowband light sources is electrically connected to the control module through the corresponding drive control module. Each drive control module is used to adjust the electrical parameters output to the corresponding narrowband light source according to the control signal from the control module.

[0010] In some embodiments, an optical mixing and homogenizing module is further included, which is used to mix and homogenize the light emitted by the target light source among the plurality of narrowband light sources.

[0011] In some embodiments, each of the narrowband light sources is a narrowband LED chip or laser diode with a half-width of less than or equal to 25 nm, and the center wavelengths of the multiple narrowband light sources are approximately uniformly distributed in the wavelength range of 380 nm to 780 nm.

[0012] To achieve the above objectives, a third aspect of this disclosure provides a lighting fixture, the lighting fixture including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the spectral programmable lighting control method based on a multi-channel narrowband light source described in the first aspect embodiment.

[0013] To achieve the above objectives, a fourth aspect of the present disclosure provides a storage medium, which is a computer-readable storage medium storing a computer program that, when executed by a processor, implements the spectral programmable illumination control method based on a multi-channel narrowband light source as described in the first aspect embodiment.

[0014] The beneficial effects of the embodiments disclosed herein include: This embodiment of the disclosure determines the spectral coverage range by acquiring the target desired spectrum input data from the client, filters out multi-channel narrowband target light sources with wavelengths within this range, and then assigns an adjustable output ratio target mixing coefficient to each target light source to match the synthesized spectrum with the target desired spectrum. Finally, the corresponding target light source is controlled to emit light based on the coefficient. The luminaire spectrum can be dynamically and programmably adjusted according to user needs without replacing the luminaire, solving the defects of fixed spectrum, high replacement cost, and poor convenience, thereby achieving the effect of flexibly changing the luminaire spectrum according to needs. Attached Figure Description

[0015] Figure 1 This is a schematic flowchart of a spectral programmable lighting control method based on a multi-channel narrowband light source provided in an embodiment of this disclosure; Figure 2 yes Figure 1 A flowchart further includes step S103; Figure 3 yes Figure 2 A flowchart further included in step S202; Figure 4 yes Figure 1 A flowchart further includes step S104; Figure 5 This is a schematic diagram of the framework of a spectral programmable lighting control system based on a multi-channel narrowband light source provided in an embodiment of this disclosure; Figure 6 This is a schematic diagram of the hardware structure of the lamp provided in the embodiments of this disclosure. Detailed Implementation

[0016] The accompanying drawings in the embodiments clearly and completely describe the technical solutions in the embodiments of this disclosure. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments in this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0017] It is understood that in the specific embodiments of this disclosure, which involve retrieving initial time-series data, initial sample time-series data and related data, when the above embodiments of this disclosure are applied to specific products or technologies, permission or consent from the target is required, and the collection, use and processing of related data must comply with relevant laws, regulations and standards.

[0018] Furthermore, when the embodiments of this disclosure require access to initial timing data, initial sample timing data, and related data, separate permission or consent to the initial timing data, initial sample timing data, and related data will be obtained through pop-up windows or redirection to a confirmation page. After clearly obtaining separate permission or consent to the initial timing data, initial sample timing data, and related data, the necessary initial timing data, initial sample timing data, and related data for enabling the embodiments of this disclosure to operate normally will be obtained.

[0019] In this disclosure, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0020] Please see Figure 1 , Figure 1This is a flowchart illustrating a spectral programmable lighting control method based on a multi-channel narrowband light source provided in this disclosure. This spectral programmable lighting control method based on a multi-channel narrowband light source can be applied in a spectral programmable lighting control system based on a multi-channel narrowband light source (hereinafter referred to as the system), or in a luminaire. The spectral programmable lighting control system based on a multi-channel narrowband light source can also be deployed in a luminaire. The spectral programmable lighting control method based on a multi-channel narrowband light source includes steps S101 to S104: Step S101: Obtain the input data for the target desired spectrum from the client; Step S102: Determine the spectral coverage range of the target desired spectrum based on the input data, and select multiple target light sources whose wavelengths are within the spectral coverage range from multiple narrowband light sources of the target luminaire; Step S103: Assign a corresponding target mixing coefficient to each target light source. The target mixing coefficient is used to adjust the output ratio of each target light source so that the difference between the synthesized spectrum of multiple target light sources and the target desired spectrum is less than a preset range. Step S104: Control the emission of each target light source based on the mixing coefficient of each target.

[0021] Regarding step S101 above, the client refers to the terminal device that interacts with the system, such as a smartphone, tablet, computer, or smart central control screen. It is equipped with corresponding control software / APP to provide users with an interactive interface for spectral input. The input data is the relevant data that the user inputs to the system through the client, which represents the target desired spectrum. Its form includes, but is not limited to, spectral power distribution (SPD) arrays, CIE standard light source codes, scenario-based spectral requirement instructions, custom wavelength ranges and power parameters, etc. Scenario-based spectral requirement instructions may include plant growth spectra, museum exhibition spectra, low blue light eye protection spectra, etc.

[0022] The target desired spectrum is the ideal spectrum that the user expects the lamp to output based on the actual scenario requirements. It can be a continuous spectrum or a discrete spectrum of a specific band. It can cover the visible light band of 380nm-780nm, and can also cover part of the visible photon band as needed.

[0023] It should be noted that the embodiments of this disclosure receive user input data through a client, which realizes the convenience of human-computer interaction. Users do not need to master professional spectral adjustment knowledge, but can input spectral requirements through an intuitive interface. At the same time, it supports multiple forms of input data, adapts to the usage habits and professional levels of different users, greatly improves the versatility of the system, and solves the pain point that traditional lamp spectra cannot be customized.

[0024] Regarding step S102 above, the spectral coverage range refers to the wavelength range included in the target desired spectrum, which is obtained by parsing the input data. For example, if the user inputs "500nm-700nm", its spectral coverage range is 500nm to 700nm, which is the core basis for screening the target light source.

[0025] The target luminaire is a spectrally programmable lighting carrier in this embodiment of the disclosure. Its core hardware is a multi-channel narrowband light source array, which, unlike traditional fixed-spectrum luminaires, has the ability to dynamically program the spectrum. The narrowband light source is the basic light-emitting unit of the target luminaire. Its core is a narrowband LED chip or laser diode (LD) with a half-width at half-maximum (FWHM) of less than or equal to 25nm. The center wavelengths of multiple narrowband light sources are approximately uniformly distributed in the visible light band from 380nm to 780nm. For example, an array of LED beads with center wavelengths of 405nm, 450nm, 490nm, 530nm, 570nm, 610nm, 650nm, and 700nm can be selected. The center wavelength can be flexibly adjusted according to the hardware supply. This embodiment of the disclosure does not impose specific limitations.

[0026] The target light source is a narrowband light source selected from multi-channel narrowband light sources whose center wavelength falls within the target desired spectral coverage range. Furthermore, in one embodiment, unselected narrowband light sources are kept off. This selection logic can reduce the participation of invalid light sources, reduce system energy consumption, and improve the accuracy of spectral synthesis.

[0027] It should be noted that the embodiments of this disclosure analyze the spectral coverage range based on the input data and select the target light source, thereby achieving precise selection of the light source and avoiding spectral redundancy and increased adjustment complexity caused by the participation of all light sources in the synthesis. At the same time, the narrow half-width and uniform wavelength distribution characteristics of the narrowband light source lay the hardware foundation for high-precision spectral synthesis and break through the spectral freedom limitations of traditional three-primary-color / four-primary-color mixing.

[0028] Regarding step S103 above, the target mixing coefficient is a quantitative parameter that characterizes the output ratio of each target light source. Its value range can be set to [0,1], corresponding to the luminous flux output ratio of the target light source. The mixing coefficients of multiple target light sources can be adjusted individually. By adjusting the value of each coefficient, the output intensity of each target light source can be changed, thereby changing the shape of the synthesized spectrum.

[0029] Synthetic spectrum refers to the spectrum formed by the mixing of multiple target light sources in space after they emit light according to corresponding mixing coefficients. The preset range is the acceptable difference threshold between the synthetic spectrum and the target desired spectrum, which is set in advance by the system. It can be adjusted based on the accuracy requirements of the spectral application scenario. For example, the preset range of laboratory vision experiments is much smaller than the preset range of ordinary home lighting, ensuring that the synthetic spectrum can meet the actual needs of users in different scenarios.

[0030] It should be noted that the core logic of spectral programmable control is to assign a target mixing coefficient to the target light source in the embodiments of this disclosure. By adjusting the mixing coefficient, the synthesized spectrum can be precisely controlled, so that the synthesized spectrum is infinitely close to the target desired spectrum. At the same time, the adjustment target is to make the difference less than a preset range, which ensures the accuracy of spectral synthesis and solves the problem that the spectrum of traditional lamps is fixed and cannot accurately match the needs of the scene.

[0031] Regarding step S104 above, controlling the emission of the target light source based on the target mixing coefficient means that the system's control module converts the target mixing coefficient into a control signal that can drive the target light source, adjusts the emission intensity of each target light source, and makes each target light source emit light according to the set output ratio, and finally mixes to form a synthetic spectrum that meets the requirements.

[0032] It should be noted that the embodiments disclosed herein convert the target mixing coefficient into actual light source emission control, realizing the transformation from spectral digital parameters to physical emission spectrum. The entire process is completed through electrical signal adjustment without the involvement of mechanical parts, enabling millisecond-level spectral switching and possessing real-time dynamic adjustment characteristics. It is suitable for scenarios that require dynamic spectral changes, such as circadian rhythm lighting and visual experimental lighting.

[0033] In summary, the embodiments of this disclosure, by executing the spectral programmable lighting control method based on multi-channel narrowband light sources in steps S101 to S104, determine the spectral coverage range by acquiring the target desired spectrum input data input by the client, screen out multi-channel narrowband target light sources with wavelengths within this range, and then assign target mixing coefficients with adjustable output ratios to each target light source to match the synthesized spectrum with the target desired spectrum. Finally, the corresponding target light source is controlled to emit light based on the coefficients. The luminaire spectrum can be dynamically and programmably adjusted according to user needs without replacing the luminaire, solving the defects of fixed spectrum, high replacement cost, and poor convenience, thereby achieving the effect of flexibly changing the luminaire spectrum according to needs.

[0034] Furthermore, in the embodiments of this disclosure, assigning corresponding target mixing coefficients to each target light source includes various implementation methods, which can be flexibly selected according to the system's hardware configuration and spectral accuracy requirements. These will be described in detail below: Implementation method one: Mixing coefficient allocation based on a preset mapping table. In some embodiments, the process of allocating corresponding target mixing coefficients to each of the target light sources in step S103 may include: From the preset mapping table, find the mixing coefficients corresponding to each target light source under the current spectral coverage range, and use them as the corresponding target mixing coefficients.

[0035] The preset mapping table is a pre-stored table of correspondences between spectral coverage, target light source, and mixing coefficients. It is obtained by the system through a large number of spectral synthesis experiments and simulation calculations before leaving the factory. It covers the coverage of common standard light sources and scene-specific spectra, as well as the corresponding optimal mixing coefficient combinations. For example, the D65 standard light source, plant growth spectrum, and museum exhibition spectrum all have corresponding parameters pre-stored in the mapping table.

[0036] The core advantage of this implementation method is its fast response speed. The control module does not need to perform complex calculations in real time. It can quickly obtain the target mixing coefficient by simply matching the spectral coverage mapping table. It is suitable for scenarios that require high spectral switching speed and do not require custom special spectra, such as ordinary home lighting and commercial lighting.

[0037] Implementation method two: Allocation of mixing coefficients based on iterative adjustment. Please refer to [link / reference]. Figure 2 , Figure 2 yes Figure 1 The flowchart further includes step S103. In some embodiments, the process of assigning corresponding target mixing coefficients to each target light source may also include steps S201 to S203: Step S201: Assign a corresponding initial mixing coefficient to each target light source. The initial mixing coefficient is used to adjust the output ratio of each target light source. Step S202: Based on the current initial mixing coefficients, perform spectral synthesis on multiple target light sources to obtain an initial synthesized spectrum, and calculate the difference between the current initial synthesized spectrum and the target desired spectrum; Step S203: Based on the difference between the current initial synthetic spectrum and the target desired spectrum, the current initial mixing coefficient is iteratively adjusted until the difference after iterative adjustment is less than a preset range, and the target mixing coefficients corresponding to each target light source after adjustment are obtained.

[0038] In the above steps, the initial mixing coefficient is the initial output ratio parameter assigned by the system to each target light source. It can be set by default by the system, such as being equally distributed, or it can be initialized based on the approximate value of a preset mapping table, providing a basis for subsequent iterative adjustments.

[0039] The initial synthesized spectrum is the synthesized spectrum formed after each target light source emits light according to the initial mixing coefficient. It is the initial result of spectral synthesis and differs from the target desired spectrum to some extent. Difference calculation is the core step in determining the degree of matching between the initial synthesized spectrum and the target desired spectrum, providing direction and basis for subsequent iterative adjustments. The embodiments of this disclosure further optimize the difference calculation design, as follows: Please see Figure 3 , Figure 3 yes Figure 2The flowchart further includes step S202. In some embodiments, the process of calculating the difference between the current initial synthesized spectrum and the target desired spectrum may further include steps S301 to S303: Step S301: Calculate the normalization factor according to the CIE lighting standard; Step S302: Normalize the target desired spectrum and the current initial synthesized spectrum based on the normalization coefficient to obtain the normalized target desired spectrum and the normalized initial synthesized spectrum. Step S303: Calculate the difference between the normalized target desired spectrum and the normalized initial synthesized spectrum as the difference between the initial synthesized spectrum and the target desired spectrum.

[0040] Among them, the CIE lighting standard is a general standard in the field of lighting developed by the International Commission on Illumination. The normalization coefficient calculated based on this standard can realize the standardization of spectral data, eliminate the influence of dimensions such as spectral brightness and luminous flux, and only compare the shape characteristics of the spectrum. Normalization processing refers to scaling the spectral power distribution data of the target desired spectrum and the initial synthesized spectrum according to the normalization coefficient, so that the two can be compared on the same quantization dimension, avoiding matching errors caused by brightness differences.

[0041] In one embodiment, the process of calculating the difference between the normalized target desired spectrum and the normalized initial synthesized spectrum in step S303 above may further include: Calculate the variance between the normalized target desired spectrum and the normalized initial synthesized spectrum, and use the variance as the difference between the initial synthesized spectrum and the target desired spectrum.

[0042] Variance is a classic indicator for measuring the degree of dispersion between two sets of data. The smaller the variance between the standardized target expected spectrum and the standardized initial synthesized spectrum, the closer the shapes of the two sets of spectra are and the higher the degree of matching. Using variance as a difference judgment indicator has the advantages of simple calculation logic and accurate judgment results. Other indicators such as Pearson correlation coefficient and root mean square error can also be selected as the basis for difference judgment according to actual needs.

[0043] In step S303, iterative adjustment means that the control module adjusts the initial mixing coefficient step by step based on the difference calculation results and according to the preset optimization algorithm, such as gradient descent method, least squares method, etc. After each adjustment, the synthetic spectrum is regenerated and the difference is calculated until the difference is less than the preset range. The mixing coefficient at this time is the target mixing coefficient.

[0044] Through the above steps, the spectral synthesis accuracy in this embodiment is high, enabling precise matching of custom special spectra. It is suitable for scenarios with high spectral accuracy requirements, such as laboratory testing, biomedical lighting, and professional photographic lighting.

[0045] It should be noted that, in addition to normalizing by calculating the normalization coefficient according to the CIE lighting standard, the embodiments of this disclosure can also complete the standardized preprocessing of the target desired spectrum and the initial synthesized spectrum through methods such as spectral peak normalization, spectral integral total flux normalization, characteristic wavelength band normalization, and minimum-maximum linear normalization. For example, spectral peak normalization divides the power distribution data of the two spectra by their respective maximum power values, scaling the data to the [0,1] interval to eliminate the overall brightness amplitude difference; spectral integral total flux normalization calculates the power integral area of ​​the two spectra within the corresponding wavelength coverage range, i.e., the total radiation / luminous flux, and then divides the power value at each wavelength point by this integral area to unify the total flux of the two spectra to 1; characteristic wavelength band normalization selects key characteristic wavelengths in the spectrum, such as the power values ​​of visible light at 450nm, 550nm, and 650nm, as a benchmark, and scales the two spectra accordingly to adapt to the feature matching requirements of specific scenarios; minimum-maximum linear normalization maps the power data of the two spectra to the [0,1] interval using the formula (x-min) / (max-min), which is suitable for scenarios with large differences in the range of spectral power values.

[0046] Therefore, in this embodiment of the disclosure, the power distribution data of the target desired spectrum and the initial synthesized spectrum are scaled to a uniform scale by normalization, eliminating non-shape differences between the two in terms of overall brightness, energy amplitude, power range, etc., and achieving effective comparison only for spectral shape. Moreover, each method can be flexibly selected according to the matching requirements of the spectral application scenario.

[0047] Similarly, in addition to calculating the variance to measure the difference between the standardized target expected spectrum and the initial synthesized spectrum, the embodiments of this disclosure can also calculate it through root mean square error, mean absolute error, spectral angular distance, Pearson correlation coefficient, cosine similarity, mean absolute percentage error, etc. For example, the root mean square error (RMSE) is the square root of the average of the squares of the power differences at each wavelength point of two spectra. The resulting dimension is consistent with the original spectral power, which is closer to the scale of differences in actual physical quantities. The mean absolute error (MAE) is the average of the absolute values ​​of the differences at each wavelength point. It is more robust to outliers and avoids amplifying extreme differences by squares. The spectral angular distance treats the power data of two spectra as high-dimensional vectors and calculates the angle between the vectors. The smaller the angle, the smaller the difference in spectral shape. It only focuses on shape matching and is not affected by slight amplitude variations. The Pearson correlation coefficient is used to measure the degree of linear correlation between two spectra. The difference is represented by 1 minus its absolute value. The closer the value is to 0, the more similar the spectral shapes are. The cosine similarity is calculated by subtracting the cosine value of the two spectral vectors from 1. The difference index is 1 minus this value. Similar to the spectral angular distance, it focuses on shape matching. The mean absolute percentage error is suitable for scenarios where the spectral power value has no zero value. It calculates the average absolute percentage of the differences at each wavelength point and can intuitively reflect the degree of relative difference.

[0048] Please see Figure 4 , Figure 4 yes Figure 1 The flowchart further includes step S104. In some embodiments, the process of controlling the emission of each target light source based on each target mixing coefficient may further include steps S401 to S402: Step S401: Obtain a pre-configured optical characteristic mapping table, and find the electrical parameters corresponding to each target light source from the optical characteristic mapping table based on the mixing coefficient of each target. Step S402: Drive the emission of each corresponding target light source based on each electrical parameter.

[0049] In the above steps, the optical characteristic mapping table is a data table that stores the correspondence between the mixing coefficients of the light source and electrical parameters. Established through prior measurements, it includes electrical parameters such as drive current and PWM duty cycle corresponding to different mixing coefficients, as well as characteristic data such as the current-light intensity relationship and temperature compensation coefficient of the light source, ensuring accurate mapping from mixing coefficients to electrical parameters. The electrical parameters are the physical parameters that drive the light source to emit light, including PWM duty cycle and constant current drive current, etc. They are matched with the hardware driving method of the light source and can be directly input into the corresponding driving circuit to control the emission.

[0050] Driving the target light source to emit light refers to outputting electrical parameters to the driving circuit of the target light source. In this embodiment, the driving circuit is the driving control module corresponding to each narrowband light source, so as to control each target light source to emit light independently according to the corresponding parameters. By mixing multiple light sources, the synthetic spectrum corresponding to the target mixing coefficient is reproduced, and the ideal lighting effect is achieved.

[0051] It should be noted that the embodiments of this disclosure achieve the conversion of mixing coefficients to electrical parameters through an optical property mapping table, thus solving the problem of decoupling the mixing coefficients from the hardware driver. The target mixing coefficients are general parameters that do not depend on specific hardware; while the mapping table adapts to different light source models and different driving methods, enabling the same set of target mixing coefficients to reproduce the same spectral effect through different hardware platforms, improving the versatility and portability of the method, and avoiding the trouble of readjustment after hardware replacement.

[0052] Please see Figure 5 This disclosure also provides a spectral programmable lighting control system based on a multi-channel narrowband light source, which can implement the above-mentioned spectral programmable lighting control method based on a multi-channel narrowband light source. The spectral programmable lighting control system based on a multi-channel narrowband light source includes: The system includes a control module 501, a receiving module 502, and multiple narrowband light sources 503. The control module 501 is electrically connected to the multiple narrowband light sources 503, and the control module 501 is also electrically connected to the receiving module 502. The receiving module 502 is used to receive input data from the client for the target desired spectrum; The control module 501 is used to execute the spectral programmable lighting control method based on the multi-channel narrowband light source 503 in the above embodiments.

[0053] In some embodiments, each narrowband light source 503 is configured with a corresponding drive control module 504, and each narrowband light source 503 is electrically connected to the control module 501 through the corresponding drive control module 504. Each drive control module 504 is used to adjust the electrical parameters output to the corresponding narrowband light source 503 according to the control signal from the control module 501.

[0054] In some embodiments, an optical mixing and homogenizing module 505 is also included, which is used to perform mixing and homogenizing processing on the light emitted by the target light source among the plurality of narrowband light sources 503.

[0055] In some embodiments, each narrowband light source 503 is a narrowband LED chip or laser diode with a half-width of less than or equal to 25nm, and the center wavelengths of the multiple narrowband light sources 503 are approximately uniformly distributed in the wavelength range of 380nm to 780nm.

[0056] The receiving module 502 can be in the form of a wired / wireless communication module such as a Wi-Fi module, Bluetooth module, Ethernet interface, or USB interface. Its core function is to establish a communication connection between the system and the client, receive input data transmitted by the client and forward it to the control module 501. Furthermore, the receiving module 502 can also feed back the system's working status (such as the current synthesis spectrum and the working status of the light source) to the client to achieve two-way data interaction.

[0057] The control module 501 is the core control unit of the system. Its hardware form can be an embedded microprocessor, MCU, DSP, FPGA, etc. The built-in memory can be used to store preset mapping tables, optical characteristic mapping tables, spectral data, etc., according to actual needs. Its core functions are to parse input data, determine spectral coverage, screen target light sources, allocate mixing coefficients, convert electrical parameters, and send control commands to the drive control module 504. It can also be equipped with a spectral sensor to receive spectral detection data in real time to realize closed-loop control of the spectrum.

[0058] The narrowband light source 503 is the light-emitting unit of the system. It adopts a narrowband LED chip or laser diode with a half-width of ≤25nm. The center wavelength is approximately uniformly distributed in the visible light band of 380nm-780nm. Each narrowband light source 503 is an independent package structure and can emit light independently. When it is not selected as the target light source, it remains in the off state. If the half-width at half-maximum (WHM) of a light source is too large, such as the WHM of traditional broadband LEDs which is typically >50nm, the spectra of multiple light sources will overlap significantly, losing their discrete and independent characteristics. Adjusting the luminous flux of one light source will simultaneously affect the spectral power of multiple bands, causing the system to be unable to accurately control the shape of the synthesized spectrum, ultimately degenerating into a low-degree-of-freedom mode of traditional three-primary-color / four-primary-color mixing. On the other hand, the narrowband light source 503 with a WHM less than or equal to 25nm covers only a small range of bands within the visible light spectrum. When multiple such light sources are approximately uniformly distributed within the 380nm-780nm range, they can form a low-overlapping, highly independent spectral basis vector library. Adjusting the luminous flux of each light source can precisely change the spectral power of the corresponding band, truly achieving precise color tuning by band, and allowing the degree of freedom of spectral synthesis to increase linearly with the number of channels.

[0059] Furthermore, using narrowband LED chips or laser diodes with a half-width at half-maximum (HWHM) of ≤25nm enables fine-grained band division of visible light. By adjusting the proportions of multiple narrowband light sources 503, a near-continuous, high-precision synthetic spectrum can be stitched together, accurately matching every band detail of the target spectrum. For example, when fitting a D65 standard light source, the power distribution of each fine band from 400nm to 700nm can be accurately reproduced, which is impossible with broadband light sources. Moreover, if a very small HWHM is required, such as less than 10nm, an extremely large number of channels would be needed to cover the 380nm-780nm visible light range, significantly increasing hardware costs and algorithm complexity. Therefore, using narrowband LED chips or laser diodes with a HWHM of ≤25nm allows for finer band division with a reasonable number of channels, balancing freedom and hardware complexity.

[0060] The drive control module 504 is an independent constant current drive circuit for each narrowband light source 503. It has the ability to adjust electrical parameters with high resolution and high refresh rate. It can receive digital instructions from the control module 501 and convert them into corresponding electrical parameters such as current and PWM duty cycle, driving the narrowband light source 503 to emit light according to the set intensity. It is the hardware guarantee for achieving accurate spectral synthesis.

[0061] The optical mixing and homogenizing module 505 can be in the form of optical devices such as a mixing rod, a diffuser plate, a lens group, or an integrating sphere. It is set on the light-emitting side of the narrowband light source 503. Its core function is to fully mix and homogenize the light of different wavelengths emitted by each target light source in space to form a light spot or light-emitting surface with uniform spectrum and consistent color, thereby avoiding problems such as spectral color separation and uneven brightness and improving the lighting effect.

[0062] In summary, the spectral programmable lighting control system based on multi-channel narrowband light sources executes the spectral programmable lighting control method based on multi-channel narrowband light sources in the above embodiments. By acquiring the target desired spectrum input data from the client, the spectral coverage range is determined, multi-channel narrowband target light sources with wavelengths within this range are selected, and then an adjustable output ratio target mixing coefficient is assigned to each target light source to match the synthesized spectrum with the target desired spectrum. Finally, the corresponding target light source is controlled to emit light based on this coefficient. The luminaire spectrum can be dynamically and programmably adjusted according to user needs without replacing the luminaire, solving the defects of fixed spectrum, high replacement cost, and poor convenience. Thus, the effect of flexibly changing the luminaire spectrum according to needs is achieved.

[0063] The specific implementation of the spectral programmable lighting control system based on a multi-channel narrowband light source is basically the same as the specific embodiment of the spectral programmable lighting control method based on a multi-channel narrowband light source described above, and will not be repeated here. Subject to meeting the requirements of the embodiments of this disclosure, the spectral programmable lighting control system based on a multi-channel narrowband light source can also be equipped with other functional modules to realize the spectral programmable lighting control method based on a multi-channel narrowband light source in the above embodiments.

[0064] This disclosure also provides a lighting fixture, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned spectral programmable lighting control method based on a multi-channel narrowband light source. This lighting fixture can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0065] Please see Figure 6 , Figure 6 The hardware structure of a lamp according to another embodiment is illustrated. The lamp includes: The processor 601 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this disclosure. The memory 602 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 602 can store operating devices and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 602 and is called and executed by the processor 601 to execute the spectral programmable lighting control method based on a multi-channel narrowband light source according to the embodiments of this disclosure. The input / output interface 603 is used to implement information input and output; The communication interface 604 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 605 transmits information between various components of the device (e.g., processor 601, memory 602, input / output interface 603, and communication interface 604); The processor 601, memory 602, input / output interface 603, and communication interface 604 are connected to each other within the device via bus 605.

[0066] This disclosure also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described spectral programmable lighting control method based on a multi-channel narrowband light source.

[0067] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0068] The embodiments described in this disclosure are for the purpose of more clearly illustrating the technical solutions of this disclosure and do not constitute a limitation on the technical solutions provided by this disclosure. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by this disclosure are also applicable to similar technical problems.

[0069] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this disclosure, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0070] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0071] Those skilled in the art will understand that all or some of the steps, apparatuses, or functional modules / units in the methods disclosed above can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0072] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in this disclosure and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0073] It should be understood that in this disclosure, "at least one item" means one or more, and "more than one" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0074] In the several embodiments provided in this disclosure, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0075] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0076] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0077] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0078] The preferred embodiments of the present disclosure have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present disclosure. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and spirit of the present disclosure shall be within the scope of the claims of the present disclosure.

Claims

1. A spectral programmable lighting control method based on a multi-channel narrowband light source, characterized in that, include: Obtain the input data from the client regarding the desired spectrum of the target; Based on the input data, the spectral coverage range of the target desired spectrum is determined, and multiple target light sources with wavelengths within the spectral coverage range are selected from multiple narrowband light sources of the target luminaire. Assign a corresponding target mixing coefficient to each of the target light sources, wherein the target mixing coefficient is used to adjust the output ratio of each of the target light sources so that the difference between the synthesized spectrum of the multiple target light sources and the target desired spectrum is less than a preset range; The emission of each target light source is controlled based on the mixing coefficient of each target.

2. The spectral programmable illumination control method based on a multi-channel narrowband light source according to claim 1, characterized in that, Assigning corresponding target mixing coefficients to each of the target light sources includes: Each of the target light sources is assigned a corresponding initial mixing coefficient, wherein the initial mixing coefficient is used to adjust the output ratio of each of the target light sources; Based on the current initial mixing coefficients, the spectra of the multiple target light sources are synthesized to obtain an initial synthesized spectrum, and the difference between the current initial synthesized spectrum and the target desired spectrum is calculated; The initial mixing coefficients are iteratively adjusted based on the difference between the current initial synthesized spectrum and the target desired spectrum until the difference after iterative adjustment is less than a preset range, thereby obtaining the target mixing coefficients corresponding to each of the target light sources after adjustment.

3. The spectral programmable illumination control method based on a multi-channel narrowband light source according to claim 2, characterized in that, The calculation of the difference between the current initial synthesized spectrum and the target desired spectrum includes: Calculate the normalization factor according to the CIE lighting standard; Based on the normalization coefficients, the target desired spectrum and the current initial synthesized spectrum are normalized to obtain the standardized target desired spectrum and the standardized initial synthesized spectrum. The difference between the standardized target desired spectrum and the standardized initial synthesized spectrum is calculated as the difference between the initial synthesized spectrum and the target desired spectrum.

4. The spectral programmable illumination control method based on a multi-channel narrowband light source according to claim 3, characterized in that, The calculation of the difference between the standardized target desired spectrum and the standardized initial synthesized spectrum, as the difference between the initial synthesized spectrum and the target desired spectrum, includes: Calculate the variance between the standardized target desired spectrum and the standardized initial synthesized spectrum, and use the variance as the difference between the initial synthesized spectrum and the target desired spectrum.

5. The spectral programmable illumination control method based on a multi-channel narrowband light source according to claim 1, characterized in that, The control of the emission of each target light source based on each target mixing coefficient includes: Obtain a pre-configured optical characteristic mapping table, and find the electrical parameters corresponding to each target light source from the optical characteristic mapping table based on each target mixing coefficient; The emission of light from each target light source is driven by each of the aforementioned electrical parameters.

6. A spectral programmable lighting control system based on a multi-channel narrowband light source, characterized in that, It includes a control module, a receiving module, and multiple narrowband light sources. The control module is electrically connected to the multiple narrowband light sources, and the control module is also electrically connected to the receiving module. The receiving module is used to receive input data from the client for the target desired spectrum; The control module is used to execute the spectral programmable lighting control method based on a multi-channel narrowband light source as described in any one of claims 1 to 5.

7. The spectral programmable lighting control system based on a multi-channel narrowband light source according to claim 6, characterized in that, Each of the narrowband light sources is equipped with a corresponding drive control module, and each narrowband light source is electrically connected to the control module through the corresponding drive control module. Each drive control module is used to adjust the electrical parameters output to the corresponding narrowband light source according to the control signal from the control module.

8. The spectral programmable lighting control system based on a multi-channel narrowband light source according to claim 6, characterized in that, It also includes an optical mixing and homogenizing module, which is used to mix and homogenize the light emitted by the target light source among the multiple narrowband light sources.

9. The spectral programmable lighting control system based on a multi-channel narrowband light source according to claim 6, characterized in that, Each of the narrowband light sources is a narrowband LED chip or laser diode with a half-width of less than or equal to 25nm, and the center wavelengths of the multiple narrowband light sources are approximately uniformly distributed in the wavelength range of 380nm to 780nm.

10. A lamp, characterized in that, The luminaire includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the spectral programmable lighting control method based on a multi-channel narrowband light source as described in any one of claims 1 to 5.

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