Track light color temperature self-adaptive adjusting method and system

Abstract

The application provides a track lamp color temperature self-adaptive adjusting method and system, which is applied to the technical field of lighting control, and realizes self-adaptive, accurate and protective control of track lamp illumination by acquiring exhibit characteristics and real-time illumination information, determining a safety threshold and calculating a target color temperature, and has the advantages of being capable of self-adaptively adjusting the color temperature of the track lamp according to the characteristics of the exhibits and the real-time illumination environment, and balancing the protection and viewing needs of the exhibits.

Description

Technical Field

[0001] This application relates to the field of lighting control technology, and in particular to a method and system for adaptive adjustment of color temperature of track lights. Background Technology

[0002] In museum or art gallery environments, track lighting serves as a crucial tool for exhibit illumination, and its adjustment is vital for both the visual appeal and long-term preservation of the exhibits. However, existing track lighting solutions have several shortcomings. Firstly, museum exhibits are diverse, varying greatly in material, age, and sensitivity to light. Many precious artifacts, in particular, are extremely sensitive to specific spectral components and prolonged exposure, requiring strict control of lighting conditions to prevent damage. Existing fixed or simple timed adjustment schemes struggle to provide differentiated and precise lighting control based on the specific spectral sensitivity and constraints of each exhibit, making it difficult to optimize the visual presentation of the exhibits while effectively ensuring their long-term safety.

[0003] On the other hand, the ambient light in the exhibition hall (such as natural light and other lighting) is dynamic and changes dynamically, and its superposition with the track lighting affects the final lighting effect of the exhibit area. Existing solutions often fail to fully collect and utilize real-time ambient light spectrum information and the light spectrum information of the exhibit area, resulting in the track lighting adjustment not being able to fully adapt to environmental changes, which may cause the lighting effect to be inconsistent with or uncoordinated with expectations.

[0004] In addition, while taking into account both the protection and viewing needs of the exhibits, it is necessary to comprehensively consider various factors such as the cumulative light dose and instantaneous spectral limitations of the exhibits, and determine a dynamic spectral safety threshold to guide light adjustment.

[0005] Current technology lacks a method to effectively integrate this complex information and, while meeting strict spectral safety thresholds, calculate the optimal target color temperature for track lighting by combining ambient light information. This makes it difficult for existing track lighting color temperature adjustment schemes to achieve truly adaptive, precise, and protective control, and to effectively balance multiple needs such as exhibit protection, viewing experience, and environmental adaptability.

[0006] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0007] In view of the shortcomings of the prior art, this application provides a method and system for adaptive adjustment of track light color temperature, which has the advantage of being able to adaptively adjust the color temperature of track lights according to the characteristics of exhibits and real-time lighting environment, thus balancing the needs of exhibit protection and viewing.

[0008] Firstly, a method for adaptive color temperature adjustment of track lighting is provided for adjusting the illumination of track lighting in exhibition areas within a museum or art gallery environment. The method includes the following steps:

[0009] S1: Obtain spectral sensitivity information and spectral constraints associated with the target exhibit;

[0010] S2: Collect the illumination spectrum information and ambient light spectrum information of the target exhibit area;

[0011] S3: Based on the spectral sensitivity information, the spectral constraints, and the illumination spectrum information, determine the spectral safety threshold of the target exhibit;

[0012] S4: Under the premise of meeting the spectral safety threshold, calculate the target color temperature of the track lights used for illuminating the target exhibit by combining the ambient light spectral information;

[0013] S5: Control the track lights to output at the target color temperature.

[0014] This application proposes a method for adaptive adjustment of track light color temperature, which can adaptively adjust the color temperature of track lights according to the characteristics of exhibits and real-time lighting environment, balancing the needs of exhibit protection and viewing.

[0015] Furthermore, step S2 includes:

[0016] S21: Obtain the spectral transmittance information of the light-transmitting protective medium associated with the target exhibit;

[0017] S22: Collect external light spectrum information outside the light-transmitting protective medium;

[0018] S23: Based on the spectral transmittance information and the external illumination spectral information, determine the illumination spectral information of the target exhibit area;

[0019] S24: Collect the ambient light spectral information.

[0020] This application proposes a method for adaptive adjustment of track light color temperature, which refines the acquisition method of illumination spectrum information, takes into account the influence of protective media, and improves the accuracy of acquisition.

[0021] Furthermore, step S24 includes:

[0022] S241: Within a preset time period, continuously collect ambient light spectral data to form an ambient light spectral data sequence;

[0023] S242: Based on the ambient light spectral data sequence, identify spectral data points that conform to preset instantaneous change characteristics, wherein the instantaneous change characteristics include the rate of change of spectral intensity and the duration of change;

[0024] S243: Spectral data points that are not identified as conforming to the instantaneous change characteristics are determined as the ambient light spectral information.

[0025] This application proposes a method for adaptive adjustment of track light color temperature, which optimizes the acquisition and processing of ambient light spectral information, eliminates instantaneous interference, and improves the stability of ambient light information.

[0026] Furthermore, step S3 includes:

[0027] S31: Obtain the upper limit of cumulative light dose associated with the target exhibit;

[0028] S32: Record the illumination spectrum information of the target exhibit within a preset period, and calculate the accumulated illumination dose based on the record;

[0029] S33: Based on the cumulative light dose limit, determine the upper limit of the spectral intensity of the accumulated light dose;

[0030] S34: Based on the spectral sensitivity information and the spectral constraint conditions, determine the instantaneous protective spectral intensity limit;

[0031] S35: Integrate the upper limit of spectral intensity with the protection spectral intensity limit to determine the spectral safety threshold of the target exhibit.

[0032] This application proposes an adaptive color temperature adjustment method for track lights, which details the process of determining the spectral safety threshold and comprehensively considers cumulative dose and instantaneous limitations.

[0033] Furthermore, step S33 includes:

[0034] S331: Calculate the difference between the upper limit of the cumulative light dose and the accumulated light dose to obtain the remaining light dose amount;

[0035] S332: Obtain the remaining exhibition time for the exhibits;

[0036] S333: Determine the upper limit of spectral intensity based on the cumulative dose based on the remaining light dose amount and the remaining display duration.

[0037] Furthermore, step S35 includes:

[0038] S351: Obtain information on the current operating mode of the exhibition area;

[0039] S352: Based on the operating mode information, determine the integration rules for integrating the upper limit of spectral intensity and the protected spectral intensity limit;

[0040] S353: Based on the integration rules, integrate the upper limit of spectral intensity with the protected spectral intensity limit to determine the spectral safety threshold of the target exhibit.

[0041] Furthermore, step S353 includes:

[0042] S3531: Based on the accumulated light dose and the upper limit of the accumulated light dose, determine the long-term lighting status parameters of the exhibit;

[0043] S3532: Determine the weighting coefficients of the upper limit of spectral intensity and the protective spectral intensity limit based on the long-term illumination state parameters;

[0044] S3533: Based on the weighting coefficient, the upper limit of spectral intensity and the protection spectral intensity limit are weighted and fused to obtain the spectral safety threshold of the target exhibit.

[0045] Furthermore, step S4 includes:

[0046] S41: Obtain the target color rendering index and preset viewing color temperature associated with the target exhibit;

[0047] S42: Based on the spectral safety threshold and the ambient light spectral information, determine the allowable output spectral range of the track light;

[0048] S43: Within the allowed output spectrum range, determine the target track light spectrum such that the total illumination spectrum formed by combining the target track light spectrum with the ambient light spectrum information has the smallest difference between its color temperature and the preset viewing color temperature, while satisfying the target color rendering index.

[0049] S44: Determine the color temperature of the target track light spectrum as the target color temperature.

[0050] Furthermore, step S43 includes:

[0051] S431: Obtain a preset database of track light output spectrum combinations;

[0052] S432: Based on the output spectral range, search the database to obtain a set of spectral combinations that conform to the allowed output spectral range;

[0053] S433: Select a spectral combination from the set of spectral combinations such that the total illumination spectrum formed by the combination of the spectral combination and the ambient light spectral information has the smallest difference between its color temperature and the preset viewing color temperature, while satisfying the target color rendering index;

[0054] S434: The selected spectral combination is determined as the target track light spectrum.

[0055] Secondly, a track light color temperature adaptive adjustment system, characterized in that it is used to implement the method described in any one of the above claims, the system comprising:

[0056] First acquisition module: Acquire spectral sensitivity information and spectral constraints associated with the target exhibit;

[0057] The second acquisition module collects the illumination spectrum information and ambient light spectrum information of the target exhibit area;

[0058] Determination module: Based on the spectral sensitivity information, the spectral constraints, and the illumination spectrum information, determine the spectral safety threshold of the target exhibit;

[0059] Calculation module: Under the premise of meeting the spectral safety threshold, and in combination with the ambient light spectral information, calculate the target color temperature of the track lights used for illuminating the target exhibit;

[0060] Control module: Controls the track lights to output at the target color temperature.

[0061] Beneficial effects: The track light color temperature adaptive adjustment method and system proposed in this application, by acquiring exhibit characteristics and real-time lighting information, determines the safety threshold and calculates the target color temperature, realizes adaptive, precise and protective control of track light lighting, and has the advantage of being able to adaptively adjust the track light color temperature according to exhibit characteristics and real-time lighting environment, balancing the needs of exhibit protection and viewing. Attached Figure Description

[0062] Figure 1 This is a flowchart of a track light color temperature adaptive adjustment method proposed in this application.

[0063] Figure 2 This is a structural diagram of a track light color temperature adaptive adjustment system proposed in this application.

[0064] Figure 3 This is an architecture diagram of a track light color temperature adaptive adjustment system proposed in this application.

[0065] Labeling explanation: 201, First acquisition module; 202, Second acquisition module; 203, Determination module; 204, Calculation module; 205, Control module. Detailed Implementation

[0066] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and marked in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0067] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0068] Please refer to Figure 1 An adaptive color temperature adjustment method for track lighting is provided for adjusting the illumination of track lighting in exhibition areas in museums or art galleries. The method includes the following steps:

[0069] S1: Obtain spectral sensitivity information and spectral constraints associated with the target exhibit;

[0070] S2: Collect the illumination spectrum information and ambient light spectrum information of the target exhibit area;

[0071] S3: Determine the spectral safety threshold of the target exhibit based on spectral sensitivity information, spectral constraints, and illumination spectrum information;

[0072] S4: Under the premise of meeting the spectral safety threshold, calculate the target color temperature of the track lights used for illuminating the target exhibits by combining the ambient light spectral information;

[0073] S5: Controls the track lights to output at the target color temperature.

[0074] Among them, spectral sensitivity information refers to the response of exhibit materials to light radiation of different wavelengths. It can be characterized by spectral damage function or relative sensitivity curve, mainly to assess the potential damage of different spectral components to exhibits.

[0075] Spectral constraints refer to the lighting limits set for exhibits, which may include maximum illuminance, maximum cumulative exposure, or intensity limits for specific wavelengths. The main purpose is to ensure the long-term safety of exhibits under illumination.

[0076] Illumination spectral information refers to the intensity distribution of actual light radiation acting on the surface of an exhibit at different wavelengths. It can be measured using a spectrometer and is mainly used to monitor the illumination conditions of the exhibit in real time.

[0077] Ambient light spectral information refers to the intensity distribution of light radiation from other light sources (excluding controlled light sources) at different wavelengths within the exhibit area. It can be measured using a spectrometer and is mainly used to understand the overall light environment background of the exhibit.

[0078] The spectral safety threshold refers to the maximum light radiation intensity that an exhibit can withstand at each wavelength, determined based on the characteristics of the exhibit and the current lighting conditions. Its main purpose is to set limits for lighting control.

[0079] The target color temperature refers to the color temperature value set for track lights to achieve the desired light output for illuminating exhibits. It is usually measured in Kelvin and is primarily used to optimize the visual presentation of exhibits.

[0080] The core innovation of this application lies in combining the spectral sensitivity information and spectral constraints of the exhibits with the real-time collected illumination spectral information and ambient light spectral information to calculate the spectral safety threshold that ensures the safety of the exhibits. Under the premise of meeting this threshold, the target color temperature of the track lights is determined by comprehensively considering the ambient light, thereby realizing the adaptive adjustment of exhibit lighting according to changes in ambient light while ensuring the safety of the exhibits.

[0081] Specifically, the system first acquires protection information related to the target exhibit, including the exhibit's sensitivity to different wavelengths of light and preset illumination limits. This information forms the basis for exhibit protection. Simultaneously, the system collects real-time illumination environment data for the exhibit area, including the distribution of light acting on the exhibit and the background light distribution within the exhibition hall. This data reflects the actual lighting environment in which the exhibit is currently located. Next, using the acquired exhibit protection information and the collected actual illumination data, the system calculates the maximum light intensity the exhibit can withstand at each wavelength. This calculation process ensures that subsequent illumination adjustments will not damage the exhibit.

[0082] Then, within the calculated spectral safety threshold range, the system combines real-time acquired ambient light spectral information to calculate the color temperature of the light output from the track lights. This ensures that the track lights' light output, when superimposed with the ambient light, achieves the desired overall illumination effect while meeting exhibit protection requirements. Finally, based on the calculated target color temperature, the system controls the track lights to adjust their light output, achieving adaptive adjustment of the illumination in the exhibit area. The entire process forms a closed loop, continuously monitoring the environment, assessing safety, calculating output, and implementing control.

[0083] As one implementation method, the solution of this application is specifically implemented as follows:

[0084] Spectral sensitivity information and spectral constraints can be obtained from a pre-established exhibit database that stores the protection level, spectral damage function, maximum illuminance limit, and cumulative exposure limit for different types or specific exhibits.

[0085] Acquiring illumination and ambient light spectral information can be achieved by placing spectral sensors, such as miniature spectrometers, near the exhibits and within the exhibition hall. The acquired real-time spectral data can be transmitted to the processing unit via wired or wireless means. When determining the spectral safety threshold, the processing unit can run an algorithm that calculates a spectral intensity upper limit curve based on exhibit sensitivity information in the database, cumulative exposure history, and the currently acquired illumination spectral information.

[0086] When calculating the target color temperature, the processing unit can run an optimization algorithm. This algorithm, constrained by a spectral safety threshold and against the backdrop of collected ambient light spectral information, searches for spectral combinations that the track light can output. It finds a combination that, when superimposed with ambient light, results in a total illumination spectral characteristic that most closely approximates the preset viewing target. When controlling the track light to output the target color temperature, the processing unit sends commands to the track light via a control interface, such as the DMX512 protocol or a proprietary wireless control protocol, to adjust the drive current or PWM signal of the LED chip inside the track light, causing it to output light at the calculated target color temperature.

[0087] Through the above-described solution, this application enables adaptive color temperature adjustment of track lighting in exhibit areas within museum or art gallery environments. This solution comprehensively considers the spectral sensitivity and constraints of the exhibits, as well as real-time illumination and ambient light conditions. It calculates and satisfies the spectral safety threshold of the exhibits, thereby protecting them from light damage. Simultaneously, by combining ambient light information to calculate the target color temperature, the track lighting output can be coordinated with the ambient light, optimizing the viewing experience of the exhibits. This adaptive adjustment based on exhibit safety constraints and changes in ambient light overcomes the limitations of traditional solutions, providing more precise, safer, and practical lighting control.

[0088] Furthermore, step S2 includes:

[0089] S21: Obtain spectral transmittance information of the light-transmitting protective medium associated with the target exhibit;

[0090] S22: Collect external light spectrum information outside the light-transmitting protective medium;

[0091] S23: Determine the illumination spectrum information of the target exhibit area based on spectral transmittance information and external illumination spectrum information;

[0092] S24: Collect ambient light spectral information.

[0093] Among them, the spectral transmittance information of the light-transmitting protective medium refers to the quantitative data of the light-transmitting protective medium's ability to transmit light of different wavelengths. It is usually expressed as a function or curve of transmittance with wavelength, and can be obtained by consulting the material specification or measuring the transmittance of the medium sample with a spectrometer.

[0094] External illumination spectral information refers to the illumination spectral data collected outside the light-transmitting protective medium, which represents the distribution of light intensity with wavelength at that location. It can be collected using devices such as spectral sensors or spectroradiometers.

[0095] The illumination spectrum information of the target exhibit area refers to the actual illumination spectrum data reaching the surface of the target exhibit. It represents the distribution of light intensity with wavelength at the exhibit surface and can be calculated based on the external illumination spectrum information and the spectral transmittance information of the light-transmitting protective medium.

[0096] Ambient light spectral information refers to the illumination spectral data provided by non-track lights around the target exhibit area, representing the distribution of ambient light intensity with wavelength, which can be collected using devices such as spectral sensors.

[0097] For example, in one specific implementation, the target exhibit is placed inside a glass enclosure. The material specifications of the glass enclosure can be consulted to obtain its spectral transmittance curves in the visible and ultraviolet bands, serving as the spectral transmittance information of the light-transmitting protective medium. A spectral sensor is placed outside the glass enclosure, facing the main light source, to collect the illumination spectrum data at that location, serving as the external illumination spectrum information. The collected external illumination spectrum data and the glass enclosure's spectral transmittance curve data are input into a calculation unit. The calculation unit multiplies the intensity value of the external illumination spectrum at each wavelength by the corresponding transmittance value of the glass enclosure to obtain the illumination spectrum data after penetrating the glass enclosure, i.e., the illumination spectrum information of the target exhibit area. Another spectral sensor is placed near the exhibit area, but avoiding direct exposure to track lighting or external light, to collect the ambient light spectrum data at that location, serving as the ambient light spectrum information.

[0098] By acquiring the spectral transmittance information of the protective medium and combining it with external light spectrum information to calculate the illumination spectrum of the exhibit area, the actual light received by the exhibit can be accurately reflected, avoiding measurement errors caused by the attenuation and alteration of the spectrum by the protective medium. This makes subsequent assessments of exhibit illumination risks more accurate and helps determine more reasonable spectral safety thresholds, effectively protecting the exhibit while avoiding unnecessary lighting restrictions. Collecting ambient light spectrum information provides necessary data for subsequent calculations of the supplementary lighting required by the track lights, facilitating the coordinated superposition of track lights and ambient light and optimizing the overall illumination effect of the exhibit area.

[0099] Furthermore, step S24 includes:

[0100] S241: Within a preset time period, continuously collect ambient light spectral data to form an ambient light spectral data sequence;

[0101] S242: Based on the ambient light spectral data sequence, identify spectral data points that meet the preset instantaneous change characteristics, including the rate of change of spectral intensity and the duration of change;

[0102] S243: Identify spectral data points that are not identified as conforming to instantaneous change characteristics as ambient light spectral information.

[0103] The preset time period refers to the length of time the system continuously collects ambient light spectral data. This time period can be set according to the needs of the actual application scenario, such as a few seconds, tens of seconds or longer. The purpose is to obtain enough continuous data samples for subsequent data analysis and processing.

[0104] Continuous acquisition of ambient light spectral data to form an ambient light spectral data sequence refers to the system continuously acquiring ambient light spectral data at a certain sampling frequency within a set time period, and organizing these data in chronological order into a sequence that reflects the dynamic changes of ambient light over a period of time.

[0105] Preset transient change characteristics refer to a set of criteria pre-set by the system to determine whether spectral data belongs to transient interference. These criteria are based on the observation and definition of transient interference phenomena.

[0106] The rate of change of spectral intensity is one aspect of instantaneous change characteristics. It describes how quickly the spectral intensity changes over a very short period of time, such as the amount of change in spectral intensity per unit time.

[0107] Duration of change is another aspect of transient change characteristics. It describes the length of time that a rapid change in spectral intensity or an abnormal state lasts. Transient disturbances are typically characterized by a fast rate of change and a short duration. By setting thresholds for these characteristics, transient disturbances can be distinguished from normal changes in ambient light.

[0108] Identifying spectral data points that meet preset instantaneous change characteristics means that the system analyzes the ambient light spectral data sequence and finds single or continuous data points whose spectral intensity change rate and change duration meet preset standards. These points are considered to be instantaneous interference data.

[0109] Determining spectral data points that are not identified as exhibiting transient change characteristics as ambient light spectral information means that after identifying and marking transient interference data points, the system takes the remaining data points in the data sequence that are not marked as transient interference as valid data, and determines the final ambient light spectral information used for subsequent calculations based on these valid data. For example, this could be the result obtained after averaging, filtering, or other statistical processing of these valid data.

[0110] This solution processes the collected ambient light spectral data to filter out transient interference, thereby obtaining more accurate ambient light spectral information. As a specific implementation method, a spectral sensor can be used to continuously collect ambient light spectral data at a frequency of 10 times per second within a preset 30-second time period. The 300 collected spectral data points are then stored in chronological order to form an ambient light spectral data sequence.

[0111] Next, the data sequence is analyzed, calculating the rate of change of spectral intensity for each data point relative to the previous data point. Data segments with a continuous rate of change exceeding a preset threshold (e.g., in one or more key wavelength regions, the intensity changes by more than 20% within 0.1 seconds) and a duration less than a preset threshold (e.g., the duration is less than 1 second) are detected. These data points that meet the instantaneous change characteristics are marked as outliers.

[0112] Finally, all data points that were not marked as outliers in the data sequence are extracted, and the average spectral distribution of these valid data points can be calculated. The calculation results are then used as the final ambient light spectral information.

[0113] Furthermore, step S3 includes:

[0114] S31: Obtain the maximum cumulative light dose associated with the target exhibit;

[0115] S32: Record the light spectrum information of the target exhibit within a preset period, and calculate the accumulated light dose based on the record;

[0116] S33: Determine the upper limit of spectral intensity of accumulated light dose based on the upper limit of accumulated light dose;

[0117] S34: Determine the instantaneous protective spectral intensity limit based on spectral sensitivity information and spectral constraints;

[0118] S35: Integrate the upper limit of spectral intensity with the protection limit of spectral intensity to determine the spectral safety threshold of the target exhibit.

[0119] The cumulative light dose limit refers to a preset maximum value of the total light energy or damage that the target exhibit can withstand throughout the entire exhibition period or its life cycle. It can be determined based on the exhibit's material, age, preservation condition, and cultural relic protection standards.

[0120] The preset period refers to the time span used to record and calculate the accumulated light dose of exhibits. It can be a fixed time interval, such as a day, a week, or a month, or a variable period set according to the characteristics of the exhibits or the exhibition plan.

[0121] The accumulated light dose refers to the actual amount of light energy or damage actually received by the target exhibit within a preset period. It can be calculated based on the recorded light spectrum information and the exhibit's spectral sensitivity information.

[0122] The upper limit of spectral intensity refers to the maximum allowable spectral intensity of light in the exhibit area at the current moment or within a certain period of time in the future, calculated based on the accumulated light dose and the upper limit of accumulated light dose of the exhibit. It reflects the amount of light that the exhibit can still withstand based on the long-term protection goal.

[0123] Instantaneous protective spectral intensity limits refer to the minimum or maximum spectral intensity limits allowed in the exhibit area at the current moment, determined based on the exhibit's inherent sensitivity to different wavelengths of light and pre-set cultural relic protection standards. These limits reflect the exhibit's light tolerance based on its own characteristics and immediate protection needs.

[0124] Integration refers to combining the upper limit of spectral intensity based on cumulative dose with the limit of protective spectral intensity based on instantaneous protection requirements to obtain a comprehensive spectral safety threshold, which can be achieved by taking the minimum value, weighted average, or other logical judgment methods.

[0125] In one specific embodiment, the method for determining the spectral safety threshold of a target exhibit can be implemented as follows:

[0126] First, the cumulative light dose limit associated with the target exhibit is retrieved from the exhibit management database. This limit can be preset based on the exhibit's type, material, and historical records. Then, light spectrum information is continuously collected at preset time intervals (e.g., hourly) using spectral sensors installed in the exhibit area, and this information is stored in the historical data recording module. Based on the stored light spectrum information and the exhibit's spectral sensitivity curve, the cumulative light dose the exhibit has received over a past period (e.g., since the last reset or the start of the exhibition) is calculated.

[0127] Next, based on the upper limit of cumulative light dose and the already accumulated light dose, the remaining light dose that the exhibit can still withstand is calculated. Combined with the remaining exhibition time of the exhibit, an average permissible instantaneous spectral intensity is estimated and determined as the upper limit of the spectral intensity of the accumulated light dose. Simultaneously, based on the exhibit's spectral sensitivity information and cultural relic protection standards (such as the standards of the International Commission on Illumination (CIE), the maximum permissible intensity of the exhibit for different wavelengths of light at the current moment is calculated and determined as the instantaneous protective spectral intensity limit.

[0128] Finally, based on the current exhibition area operation mode (e.g., normal open mode or maintenance mode), an integration rule is selected. For example, in normal open mode, the minimum value between the upper limit of the accumulated light dose spectral intensity and the instantaneous protective spectral intensity limit is taken as the final spectral safety threshold to ensure that neither the total dose nor the instantaneous limit is exceeded. In maintenance mode, the restrictions can be appropriately relaxed. The calculated upper limit of spectral intensity and the protective spectral intensity limit are combined according to the selected integration rule to obtain the final spectral safety threshold used to guide the adjustment of track lights.

[0129] Furthermore, step S33 includes:

[0130] S331: Calculate the difference between the upper limit of cumulative light dose and the accumulated light dose to obtain the remaining light dose amount;

[0131] S332: Obtain the remaining exhibition time for the exhibits;

[0132] S333: Determine the upper limit of spectral intensity based on the cumulative dose, based on the remaining light dose amount and the remaining display duration.

[0133] The remaining light dose limit refers to the total amount of additional light energy that the exhibit can withstand from the current moment until the end of the exhibition period. Its value is equal to the cumulative light dose limit minus the accumulated light dose.

[0134] The remaining exhibition time of an exhibit refers to the length of time from the current moment until the exhibit ends its exhibition. The upper limit of spectral intensity based on cumulative dose refers to the highest value of instantaneous spectral intensity allowed at the current moment in order to ensure that the total light dose does not exceed the upper limit, after taking into account the accumulated light dose of the exhibit and the remaining exhibition time.

[0135] This scheme provides a specific method for determining the upper limit of spectral intensity based on cumulative dose, aiming to solve the problem of unreasonable light dose allocation caused by insufficient consideration of time factors. By introducing two parameters, the remaining light dose allowance and the remaining display duration, this scheme can calculate the instantaneous upper limit of spectral intensity more dynamically and reasonably.

[0136] In one specific embodiment, the calculation of the difference between the upper limit of the cumulative light dose and the already accumulated light dose to obtain the remaining light dose quota can be achieved by a calculation unit that receives the upper limit of the cumulative light dose and the already accumulated light dose as input and outputs the difference between the two.

[0137] The remaining exhibition duration of an exhibit can be obtained by reading the exhibition end date associated with the current exhibit from the exhibit management database and calculating the time difference between the current date and the end date.

[0138] Determining the upper limit of spectral intensity based on the remaining light dose and remaining display duration can be achieved by dividing the remaining light dose by the remaining display duration to obtain an average permissible instantaneous dose rate, and then converting this dose rate into the corresponding upper limit of spectral intensity. Alternatively, a lookup table can be pre-defined, providing recommended upper limits of spectral intensity based on different ranges of remaining light dose and remaining display duration. For example, when the remaining dose is large and the remaining display duration is long, a relatively high upper limit of instantaneous intensity can be allowed; when the remaining dose is small but the remaining display duration is long, the upper limit of instantaneous intensity needs to be significantly reduced; when the remaining dose is large but the remaining display duration is short, the upper limit of instantaneous intensity can be appropriately increased to optimize the short-term viewing experience, provided that the total dose does not exceed the limit.

[0139] Furthermore, step S35 includes:

[0140] S351: Obtain information on the current operating mode of the exhibition area;

[0141] S352: Based on the operating mode information, determine the integration rules for integrating the upper limit of spectral intensity with the spectral intensity limit for protection;

[0142] S353: Based on the integration rules, integrate the upper limit of spectral intensity with the protected spectral intensity limit to determine the spectral safety threshold of the target exhibit.

[0143] Among them, the operation mode information refers to the data describing the current status or usage scenario of the exhibition area, which can be implemented using preset mode identifiers (e.g., strings such as "daily open", "maintenance mode", "special exhibition") or a set of parameters related to the mode (e.g., visitor density, opening hours, security level).

[0144] Integration rules refer to specific algorithms or strategies for combining upper limits of spectral intensity based on cumulative light dose with protective spectral intensity limits based on instantaneous sensitivity, which can be implemented using weighted average decision logic.

[0145] This solution incorporates information about the current operating mode of the exhibition area during the integration process for determining the spectral safety threshold, thereby achieving flexibility and adaptability in the determination of the spectral safety threshold and better balancing the needs of exhibit protection and viewing. In one embodiment, the current operating mode information of the exhibition area may include "routine open mode," "maintenance mode," and "special exhibition mode." When the system obtains the operating mode information as "routine open mode," it can determine an integration rule that balances protection and viewing, such as using a weighted average, where the cumulative dose limit and the instantaneous sensitivity limit each have a certain weight. When the operating mode information is "maintenance mode," the system can determine an integration rule that prioritizes protection, such as directly using the protective spectral intensity limit as the spectral safety threshold, or significantly increasing the weight of the protective spectral intensity limit in the weighted average. When the operating mode information is "special exhibition mode," the system can determine a specific integration rule based on the characteristics of the exhibition (such as the length of the exhibition period, the value of the exhibits, etc.), such as allowing the weight of the spectral intensity limit to be appropriately increased for a short period of time to optimize the viewing effect, provided that basic protection requirements are met. Based on the integration rules determined by the current mode, the system calculates the upper limit of spectral intensity based on cumulative light dose and the protection spectral intensity limit based on instantaneous sensitivity, thereby obtaining the target exhibit spectral safety threshold applicable to the current operating mode.

[0146] By incorporating exhibition area operation mode information and dynamically determining integration rules accordingly, this solution enables the established spectral safety thresholds to better align with actual needs, avoiding the inadequacies of fixed rules. This allows the system to more effectively balance exhibit protection and viewing effects under different operating modes, improving the flexibility and intelligence of the lighting system.

[0147] Furthermore, step S353 includes:

[0148] S3531: Determine the long-term illumination status parameters of the exhibits based on the accumulated light dose and the upper limit of the accumulated light dose;

[0149] S3532: Determine the weighting coefficients for the upper limit of spectral intensity and the protection spectral intensity limit based on long-term illumination status parameters;

[0150] S3533: Based on the weighting coefficients, the upper limit of spectral intensity and the protection spectral intensity limit are weighted and fused to obtain the spectral safety threshold of the target exhibit.

[0151] The long-term illumination status parameter refers to a quantitative indicator reflecting the current cumulative light exposure level of the exhibit and its risk status relative to its long-term safety limit. It can be represented by the ratio of the accumulated light dose to the upper limit of the accumulated light dose, the difference between the accumulated light dose and the upper limit of the accumulated light dose, or a risk level (e.g., low risk, medium risk, high risk) based on these values. The weighting coefficient is a numerical factor indicating the relative importance of the upper limit of spectral intensity and the protective spectral intensity limit in the calculation of the final spectral safety threshold. It can be calculated using a preset function based on the long-term illumination status parameter, or determined by consulting a preset weighting table associated with different ranges of long-term illumination status parameters. Weighted fusion refers to combining the upper limit of spectral intensity and the protective spectral intensity limit according to their respective weighting coefficients to obtain a comprehensive spectral safety threshold, which can be achieved using linear weighted summation.

[0152] Specifically, the spectral safety threshold (λ) = w1 × upper limit of spectral intensity (λ) + w2 × protection spectral intensity limit (λ).

[0153] λ represents wavelength and is used to describe the spectral intensity at different wavelengths; w1 is the weighting coefficient of the upper limit of spectral intensity; w2 is the weighting coefficient of the protective spectral intensity limit; the upper limit of spectral intensity (λ) is the upper limit of spectral intensity calculated based on the cumulative dose; the protective spectral intensity limit (λ) is the spectral intensity limit calculated based on the instantaneous protection requirement.

[0154] The weighting coefficients w1 and w2 can be determined based on long-term illumination state parameters. The specific method is as follows:

[0155] Long-term illumination status parameter = maximum cumulative illumination dose / accumulated illumination dose.

[0156] If the long-term illumination status parameter is low (e.g., less than 0.3), it means that the current illumination dose of the exhibit is low and the risk is small. The viewing effect can be optimized by appropriately increasing the weight of w1 and decreasing the weight of w2.

[0157] If the long-term illumination status parameter is high (e.g., greater than 0.7), it indicates that the exhibit is close to the cumulative dose limit and the risk is high. The weight of w2 should be increased and the weight of w1 should be decreased to prioritize the protection of the exhibit.

[0158] If the long-term illumination status parameters are in the middle range (e.g., 0.3 to 0.7), the weights of w1 and w2 can be set to be more balanced.

[0159] For example, we can set: w1 = 1 − long-term illumination state parameter; w2 = long-term illumination state parameter.

[0160] Furthermore, step S4 includes:

[0161] S41: Obtain the target color rendering index and preset viewing color temperature associated with the target exhibit;

[0162] S42: Determine the permissible output spectral range of the track light based on the spectral safety threshold and ambient light spectral information;

[0163] S43: Within the allowable output spectrum range, determine the target track light spectrum so that the total illumination spectrum formed by combining the target track light spectrum and the ambient light spectrum information has the smallest difference between the color temperature and the preset viewing color temperature, while meeting the target color rendering index.

[0164] S44: Determine the color temperature of the target track light spectrum as the target color temperature.

[0165] The target color rendering index is an indicator that measures the ability of a light source to render the true colors of an object. It can be expressed using a general color rendering index or a special color rendering index.

[0166] Preset viewing color temperature refers to the ideal lighting color temperature that is set in advance according to the type of exhibits, curatorial intentions, or viewing preferences. It can be a specific color temperature value or a color temperature range.

[0167] The spectral safety threshold refers to the upper limit of the spectral intensity of each wavelength that an exhibit can withstand within a specific time period. It can be a spectral power distribution curve or an intensity limit of a set of discrete wavelength points.

[0168] Ambient light spectral information refers to the spectral power distribution of light sources other than track lights within the exhibition area, which can be obtained by collecting data using a spectrometer.

[0169] The permissible output spectral range refers to the set of spectral power distributions that a track light can output, provided that it meets the spectral safety threshold and does not produce harmful effects when superimposed with ambient light. It can be a spectral intensity upper limit curve or a set of constraints.

[0170] The target track light spectrum refers to the spectral power distribution that the track light itself should output within the allowable output spectral range, calculated through optimization. It is a specific spectral power distribution curve. The total illumination spectrum refers to the spectral power distribution after superimposing the target track light spectrum and the ambient light spectrum information; it is the actual illumination spectrum received by the exhibit.

[0171] For example, in one specific implementation, suppose we need to provide illumination for an antique silk fabric. First, we obtain the target color rendering index (CRI) of the fabric, such as requiring a general CRI Ra greater than 95, and a preset viewing color temperature, such as 3000K. Simultaneously, based on the fabric's material and age, we determine its spectral sensitivity information and spectral constraints. Combined with the illumination spectrum information of the exhibit area, we calculate the spectral safety threshold for the fabric, such as limiting the intensity of ultraviolet and short-wave blue light.

[0172] Ambient light spectral information of the exhibition area is collected, for example, by measuring the spectral distribution of natural light and background lighting in the current exhibition hall using a spectrometer. Based on the spectral safety threshold and ambient light spectral information, the permissible output spectral range of the track lights is calculated; for example, the intensity of a specific wavelength band after the track light's output spectrum is superimposed on the ambient light cannot exceed the safety threshold. Then, within the permissible output spectral range, a target track light spectrum is determined. This can be achieved through an optimization algorithm that tries different combinations of track light spectra (e.g., adjusting the output ratio of different color chips in a multi-channel LED light) and calculates the total illumination spectrum after each combination is superimposed on the ambient light.

[0173] For each total illumination spectrum, its general color rendering index (CRI) and color temperature are calculated. The algorithm aims to find a track light spectrum such that the CRI of the total illumination spectrum after overlaying ambient light is greater than 95, and its color temperature differs minimally from 3000K. For example, the calculation might determine that the track light should output a spectrum with a color temperature of 3300K. When this spectrum is overlaid with ambient light, the color temperature of the total illumination spectrum is close to 3000K, and the CRI meets the requirements. Finally, the calculated 3300K is determined as the target color temperature for the track light, and the track light is controlled to output at this color temperature.

[0174] Through the above-described scheme, this application can calculate the target color temperature of the track lights by introducing the target color rendering index and the preset viewing color temperature as optimization targets, while meeting the spectral safety threshold of the exhibits and taking into account ambient light. This ensures that the final lighting is not only safe and reliable, but also guarantees that the exhibits have good color reproduction capabilities, and that the light color temperature is as close as possible to the preset ideal viewing color temperature, thereby significantly improving the visual presentation of the exhibits and the viewing experience of the audience.

[0175] Furthermore, step S43 includes:

[0176] S431: Obtain a preset database of track light output spectrum combinations;

[0177] S432: Based on the output spectral range, search the database to obtain a set of spectral combinations that conform to the allowed output spectral range;

[0178] S433: Select a spectral combination from the set of spectral combinations such that the total illumination spectrum formed by the combination of the spectral combination and the ambient light spectral information has the smallest difference between the color temperature and the preset viewing color temperature, while meeting the target color rendering index.

[0179] S434: Determine the selected spectral combination as the target track light spectrum.

[0180] The track light output spectrum combination database refers to a pre-stored set of spectral power distribution data representing the actual possible output of the track light under different control states. This data can be stored in the form of tables, files, or structured databases. The output spectral range refers to the upper limit of intensity or wavelength restriction that the track light output spectrum must meet, calculated based on the exhibit's spectral safety threshold and ambient light information. It can be expressed as a spectral intensity upper limit function or a set of wavelength ranges.

[0181] A spectral combination set refers to the collection of all spectral combinations selected from the track light output spectral combination database whose spectral power distribution falls entirely within the allowable output spectral range. This set can be represented using data structures such as lists, arrays, or sets. Selecting a spectral combination refers to the process of choosing the optimal spectral combination from the spectral combination set based on specific evaluation criteria (meeting the target color rendering index and minimizing color temperature differences). This can be achieved through methods such as traversal comparison, sorting and filtering, or optimization algorithms.

[0182] The target color rendering index refers to the indicator requirement associated with the target exhibit, which measures the degree to which light reproduces the color of an object. It can be a specific value (such as Ra≥95) or a range. The preset viewing color temperature refers to the ideal viewing light color temperature set by the curator or cultural relic experts for a specific exhibit. It can be a specific color temperature value (such as 3000K).

[0183] For example, in one specific implementation, a preset track light output spectrum combination database can be stored in a non-volatile memory. The database can be a two-dimensional table, where each row represents a possible control state of the track light (such as a combination of PWM values ​​or current settings), and each column stores the spectral power distribution data (such as spectral intensity values ​​sampled at wavelength intervals) for the corresponding control state.

[0184] Based on the calculated allowable output spectral range (e.g., the spectral intensity must not exceed a certain upper limit within a specific wavelength range), the system can iterate through each row of spectral data in the database to check if it fully meets the range requirement. All rows of compliant spectral data are extracted to form a set of spectral combinations and stored in a temporary list. Subsequently, the system can iterate through each spectral combination in this temporary list. For each spectral combination in the list, its spectral power distribution data is superimposed with the real-time acquired ambient light spectral power distribution data to obtain the total illumination spectral data. Based on this total illumination spectral data, its color rendering index (e.g., CIE Ra) and correlated color temperature (CCT) are calculated. First, it is determined whether the calculated color rendering index reaches or exceeds the target color rendering index (e.g., whether the Ra value is greater than or equal to 95). If the color rendering index requirement is met, the absolute difference between the color temperature of the total illumination spectrum and the preset viewing color temperature (e.g., 3000K) is calculated. After iterating through all spectral combinations that meet the color rendering index requirement, the system selects the spectral combination that minimizes the color temperature difference. The control state or spectral data corresponding to the selected spectral combination is determined as the target track light spectrum.

[0185] Through the aforementioned technical means, this application provides a database-based method for determining the target spectrum of track lights. This method can efficiently search and select from the practically feasible discrete spectral outputs of track lights the spectral combination that, while meeting the exhibit's spectral safety threshold and target color rendering index, makes the color temperature of the total illumination spectrum closest to the preset viewing color temperature. This solves the technical problem of determining the optimal track light spectrum while balancing exhibit protection, color reproduction, and viewing experience within limited equipment capabilities, thus improving the practicality and accuracy of adaptive color temperature adjustment for track lights.

[0186] Please refer to Figure 2 , Figure 3 A track light color temperature adaptive adjustment system, characterized in that, for implementing any of the above methods, the system comprises:

[0187] First acquisition module 201: Acquires spectral sensitivity information and spectral constraints associated with the target exhibit;

[0188] Second acquisition module 202: Collects the illumination spectrum information and ambient light spectrum information of the target exhibit area;

[0189] Module 203: Determines the spectral safety threshold of the target exhibit based on spectral sensitivity information, spectral constraints, and illumination spectrum information;

[0190] Calculation module 204: Under the premise of meeting the spectral safety threshold, and in combination with the ambient light spectral information, calculate the target color temperature of the track lights used for illuminating the target exhibits;

[0191] Control module 205: Controls the track lights to output at the target color temperature.

[0192] The first acquisition module 201 refers to a system component responsible for acquiring information related to the inherent light sensitivity and protection requirements of the exhibits. It can be implemented by a software module that reads a pre-stored database, receives manual input, or acquires data through a network interface.

[0193] The second acquisition module 202 refers to a system component responsible for sensing the actual lighting conditions of the exhibit area and environment in real time or periodically. It can consist of a hardware interface connected to a spectral sensor or a light sensor and data acquisition and processing software.

[0194] The determination module 203 refers to the system component responsible for calculating the upper limit of the exhibit's lighting safety based on the exhibit's characteristics and the current lighting data. It can be implemented by a processor and storage unit that executes a specific safety threshold calculation algorithm.

[0195] The calculation module 204 refers to the system component responsible for calculating the optimal output color temperature of the track light under safety constraints, and can be implemented by a processor that runs the color temperature optimization calculation algorithm.

[0196] The control module 205 refers to the system component responsible for converting the calculated target color temperature command into the actual track light control signal. It can consist of a hardware driver circuit and control command generation software connected to the track light control interface (such as the DMX interface).

[0197] This system implements the adaptive color temperature adjustment method for track lights by breaking it down into several clearly defined modules. The first acquisition module 201 provides the static basic data required for exhibit protection, while the second acquisition module 202 provides dynamic real-time illumination data for the exhibit area and its environment. The determination module 203 uses this data to calculate the illumination safety boundary for the exhibit's current state, setting an insurmountable limit for subsequent color temperature calculations. Within this safety boundary, the calculation module 204, combined with ambient light data, intelligently calculates the target color temperature that the track lights should output to optimize the overall lighting effect. Finally, the control module 205 translates the calculation results into actual control of the track lights, driving them to adjust their spectral output.

[0198] This modular design allows for the clear implementation of complex methodological steps. Modules interact via data flow, collaborating to complete the entire adaptive adjustment process. In this way, the system can respond in real-time to environmental changes and exhibit status, dynamically adjusting the track light color temperature while ensuring exhibit safety, thus achieving the intended functionality of the method.

[0199] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.

[0200] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for adaptive adjustment of track light color temperature, characterized in that, The method for adjusting the illumination of track lighting in exhibit areas within a museum or art gallery environment includes the following steps: S1: Obtain spectral sensitivity information and spectral constraints associated with the target exhibit; S2: Collect the illumination spectrum information and ambient light spectrum information of the target exhibit area; S3: Based on the spectral sensitivity information, the spectral constraints, and the illumination spectrum information, determine the spectral safety threshold of the target exhibit; Step S3 includes: S31: Obtain the upper limit of cumulative light dose associated with the target exhibit; S32: Record the illumination spectrum information of the target exhibit within a preset period, and calculate the accumulated illumination dose based on the record; S33: Based on the cumulative light dose limit, determine the upper limit of the spectral intensity of the accumulated light dose; S34: Based on the spectral sensitivity information and the spectral constraint conditions, determine the instantaneous protective spectral intensity limit; S35: Integrate the upper limit of spectral intensity with the protection spectral intensity limit to determine the spectral safety threshold of the target exhibit; Step S35 includes: S351: Obtain information on the current operating mode of the exhibition area; S352: Based on the operating mode information, determine the integration rules for integrating the upper limit of spectral intensity and the protected spectral intensity limit; S353: Based on the integration rules, integrate the upper limit of spectral intensity with the protected spectral intensity limit to determine the spectral safety threshold of the target exhibit; S4: Under the premise of meeting the spectral safety threshold, calculate the target color temperature of the track lights used for illuminating the target exhibit by combining the ambient light spectral information; S5: Control the track lights to output at the target color temperature.

2. The method for adaptive adjustment of track light color temperature according to claim 1, characterized in that, Step S2 includes: S21: Obtain the spectral transmittance information of the light-transmitting protective medium associated with the target exhibit; S22: Collect external light spectrum information outside the light-transmitting protective medium; S23: Based on the spectral transmittance information and the external illumination spectral information, determine the illumination spectral information of the target exhibit area; S24: Collect the ambient light spectral information.

3. The method for adaptive adjustment of track light color temperature according to claim 2, characterized in that, Step S24 includes: S241: Within a preset time period, continuously collect ambient light spectral data to form an ambient light spectral data sequence; S242: Based on the ambient light spectral data sequence, identify spectral data points that conform to preset instantaneous change characteristics, wherein the instantaneous change characteristics include the rate of change of spectral intensity and the duration of change; S243: Spectral data points that are not identified as conforming to the instantaneous change characteristics are determined as the ambient light spectral information.

4. The method for adaptive adjustment of track light color temperature according to claim 1, characterized in that, Step S33 includes: S331: Calculate the difference between the upper limit of the cumulative light dose and the accumulated light dose to obtain the remaining light dose amount; S332: Obtain the remaining exhibition time for the exhibits; S333: Based on the remaining light dose amount and the remaining display duration, determine the upper limit of the spectral intensity of the accumulated light dose.

5. The method for adaptive color temperature adjustment of track lights according to claim 1, characterized in that, Step S353 includes: S3531: Based on the accumulated light dose and the upper limit of the accumulated light dose, determine the long-term lighting status parameters of the exhibit; S3532: Determine the weighting coefficients of the upper limit of spectral intensity and the protective spectral intensity limit based on the long-term illumination state parameters; S3533: Based on the weighting coefficient, the upper limit of spectral intensity and the protection spectral intensity limit are weighted and fused to obtain the spectral safety threshold of the target exhibit.

6. The method for adaptive adjustment of track light color temperature according to claim 1, characterized in that, Step S4 includes: S41: Obtain the target color rendering index and preset viewing color temperature associated with the target exhibit; S42: Based on the spectral safety threshold and the ambient light spectral information, determine the allowable output spectral range of the track light; S43: Within the allowed output spectrum range, determine the target track light spectrum such that the total illumination spectrum formed by combining the target track light spectrum with the ambient light spectrum information has the smallest difference between its color temperature and the preset viewing color temperature, while satisfying the target color rendering index. S44: Determine the color temperature of the target track light spectrum as the target color temperature.

7. The method for adaptive color temperature adjustment of track lights according to claim 6, characterized in that, Step S43 includes: S431: Obtain a preset database of track light output spectrum combinations; S432: Based on the output spectral range, search the database to obtain a set of spectral combinations that conform to the allowed output spectral range; S433: Select a spectral combination from the set of spectral combinations such that the total illumination spectrum formed by the combination of the spectral combination and the ambient light spectral information has the smallest difference between its color temperature and the preset viewing color temperature, while satisfying the target color rendering index; S434: The selected spectral combination is determined as the target track light spectrum.

8. A track light color temperature adaptive adjustment system, characterized in that, The system for implementing the method according to any one of claims 1-7 comprises: First acquisition module: Acquire spectral sensitivity information and spectral constraints associated with the target exhibit; The second acquisition module collects the illumination spectrum information and ambient light spectrum information of the target exhibit area; Determination module: Based on the spectral sensitivity information, the spectral constraints, and the illumination spectrum information, determine the spectral safety threshold of the target exhibit; Calculation module: Under the premise of meeting the spectral safety threshold, and in combination with the ambient light spectral information, calculate the target color temperature of the track lights used for illuminating the target exhibit; Control module: Controls the track lights to output at the target color temperature.

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