A Method and System for Batch Regulation of the Color Temperature of Intelligent Lighting Fixtures

Abstract

A method and system for batch regulating the color temperature of intelligent lighting fixtures. In terms of the method, the intelligent fixtures first calibrate to generate a non-linear adjustment function, which includes γ for controlling the overall non-linear degree and α for finely adjusting the intermediate color temperature, and their values are calculated using the gradient descent algorithm. Set up scenarios and bind the scenarios to the fixture devices, obtain the extreme values of the initial color temperature ranges of each fixture and compare them to obtain the extreme value range of the color temperature range of the scenario. Input the target color temperature, and the fixtures within the scenario uniformly adjust the light according to the scenario adjustment function. In terms of the system, several fixtures interact to form a system. The system divides scenarios, and each scenario has a unique number bound to the fixture address. The fixtures in the same scenario execute the same color temperature adjustment scheme at the same time. The present invention can accurately, uniformly, and batch regulate the color temperature of the fixtures. It realizes batch adjustment of the color temperature of the fixtures for each independent scenario and realizes stepless color temperature adjustment. It eliminates the influence of fixture types, manufacturers, the characteristics of the lamp beads used, and production process batches on the batch adjustment of the color temperature of the fixtures.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things lighting engineering and the field of lighting effect control technology using the measured color temperature range of lamps, and particularly relates to a method and system for batch regulating the color temperature of intelligent lighting lamps. Background Art

[0002] With the development of intelligent lighting technology, the lighting system is not only a key factor for providing illumination, but also for creating an atmosphere and improving the environmental quality. As an important function in the intelligent lighting system, color temperature adjustment allows users to adjust the color temperature of lamps according to personal preferences or specific scene requirements, thereby affecting people's emotions and physiological rhythms, or making corresponding adjustments according to the commodity attributes of the irradiated objects to highlight product features and enhance the display effect. For example, in a study room or for book-related commodities, cold light color temperature illumination is required; in leisure places such as restaurants and cafes, warm light is often selected for clothing-related commodities to create a comfortable and warm atmosphere.

[0003] Generally, cold light is considered to have a color temperature value above 5000K, and the visual observation of the lighting effect is bluish, giving a cold feeling. Warm light has a color temperature value below 5000K, and the visual observation of the lighting effect is yellowish, giving a warm feeling.

[0004] Traditional color temperature regulation methods usually provide only limited color temperature adjustment options, such as adjusting the color temperature of the corresponding lamps through panel buttons. Even after all lamps are set to a fixed and unified color temperature, color temperature regulation operations are no longer allowed.

[0005] If more color temperature values need to be adjusted by software, it is usually required that in the same regulation scenario, the lamp devices used have the same color temperature adjustment range, that is, the same cold light extreme value and warm light extreme value. Then, for different application purposes, when using various types of lamps such as panel lights, spotlights, downlights, and light strips, a unified color temperature adjustment range needs to be customized. However, this kind of customization is extremely costly.

[0006] In order to save costs by purchasing different types of lamps from different manufacturers and batches, there will also be situations where different manufacturers, batches, and lamp types have different lamp color temperature ranges. This causes difficulties in uniformly adjusting the color temperature target value for specific application scenarios. The uneven adjustment of the lamp color temperature is visible to the naked eye, affecting the aesthetics and light effect. Precise adjustment requires the debugging personnel to use a color temperature detection instrument to measure and adjust while measuring, and only one lamp can be adjusted to the target color temperature at a time. When the target color temperature requirement changes again, this cumbersome process needs to be repeated, which is time-consuming and laborious.

[0007] Therefore, a new technical solution is needed to solve these problems and achieve more efficient and reliable scene color temperature adjustment. Summary of the Invention

[0008] To solve the problems mentioned in the background art and meet the user's demand for flexible changes in the color temperature of the lighting environment, the present invention develops an intelligent lighting system that can accurately, uniformly, and batch-control the color temperature. By precisely controlling each lighting device participating in the scene, the unified adjustment of the color temperature within the scene is achieved. Thus, the accuracy and consistency of the color temperature adjustment are ensured. The color temperature adjustment of the lighting fixtures in different scenes does not affect each other, improving the flexibility and adaptability of the system.

[0009] Calibrate the intelligent lighting fixtures and process them into a non-linear adjustment function according to the calibration results Store, where i is the unique address of the lighting device and x is the dimming input signal parameter of lighting fixture i; after the lighting fixtures are installed and operated, debug and set the scene to bind the scene and the lighting devices participating in it, and obtain the initial color temperature adjustable range data of each lighting fixture i participating in the scene, that is, the cold light extreme value T of the color temperature adjustable range interval i,min and the warm light extreme value T i,max .

[0010] The initial color temperature range of each participating lighting fixture is determined by different manufacturers, different production batches, and the cold light bulbs and warm light bulbs used in the lighting fixtures. The full-power color temperature value of the cold light bulb circuit and the full-power color temperature value of the warm light bulb circuit are the extreme values of the color temperature adjustment range of the lighting fixture. The lighting fixture adjusts the color temperature within the extreme value range by assigning different powers to different lamp circuits. The initial color temperature is determined by the physical characteristics of the lamp beads.

[0011] When the current scene requires color temperature adjustment, first bind the scene and the participating lighting devices. The participating lighting fixtures and their quantities depend on the lighting fixtures covered by the area of the scene application. The binding of the scene and the participating lighting devices is a virtual setting through data, and the binding relationship is stored in each participating lighting fixture and the client device that wants to control the scene for color temperature adjustment.

[0012] Select the minimum value by comparing all the cold light extreme values of the lighting fixtures in this scene, and select the maximum value by comparing all the warm light extreme values. The two are used as the cold light and warm light extreme values T scenecold and T scenewarm .

[0013] For all the lighting fixtures participating in the scene, the system automatically runs a program to select values: select the minimum value by comparing all the cold light extreme values as the upper limit T scenecold = min(T i1,max , T i2,max ,..., T in,max ). Select the maximum value by comparing all the warm light extreme values as the lower limit of the scene color temperature adjustment, T scenewarm = max(T i1,min , T i2,min ,..., T in,min) These are the extreme values of the scene color temperature range, which represents the short - board effect in the application scenarios of lighting systems. The value range of the adjustable scene color temperature can only be selected from the minimum adjustment range of the color temperature of the lamps involved. T in,max and T in,min In this formula, n represents the nth lamp participating in this scene, and i represents the address of the intelligent lamp device.

[0014] Change the color temperature adjustment range of each lamp participating in the scene to the extreme values of the scene color temperature range, that is, adjust the electrical parameters or power of the cold light path and the warm light path to the extreme values of the scene color temperature range, and store them in the lamps. This extreme value of the scene color temperature range is determined by the program. At the embedded software level, the color temperature adjustment range of each lamp is constrained within the interval composed of the extreme values of the scene color temperature range. Stepless dimming can be achieved within this range.

[0015] The user inputs the target color temperature T i (x)=T target through the system client. All the lamps in this scene are uniformly adjusted to the target color temperature using the aforementioned method steps. All the lamps in the scene are uniformly adjusted for the target color temperature. The target color temperature is manually set by the operator to input the adjustment parameters, and the value is specifically designed according to the required color temperature of the objects illuminated in the scene or the operator's perception and requirements.

[0016] The extreme values of the scene color temperature range are stored in the lamps participating in the scene. For any lamp i in this scene, when it changes to the unified target color temperature of the scene, the adjustment function is: ; The user inputs the target color temperature to be achieved through the system client, and all the lamps in this scene are uniformly adjusted to the target color temperature T target . For the lamps T i (x)=T target in the scene, the specific signal parameter x that needs to be given by the main control chip and the dimming control chip is solved inversely.

[0017] Preferably, the non - linear adjustment function can be expressed as: , where γ i is the non - linear adjustment coefficient that controls the overall non - linear degree, and α i is the fluctuation adjustment coefficient that controls the fine adjustment in the intermediate color temperature region. According to the Weber - Fechner law, the human eye's perception of light is a logarithmic relationship, and the power function can approximately simulate this logarithmic relationship. LED lamps usually exhibit a non - linear input - output relationship, and the power function can also effectively simulate and compensate for this non - linear characteristic. Sine modulation (1 + α iThe selection of *sin(π * x)) is based on the need for smooth transition in stepless dimming. Local fine adjustment is achieved in different color temperature regions through the fluctuation adjustment coefficient. Commonly, the color temperature region is divided into three regions: warm light, neutral light, and cold light.

[0018] Nonlinear adjustment coefficient γ i : When it is greater than 1, the intelligent lamp changes slowly in the low color temperature region and quickly in the high color temperature region; when it is less than 1, the intelligent lamp changes quickly in the low color temperature region and slowly in the high color temperature region; when it is equal to 1, it shows a linear change, which rarely occurs.

[0019] Fluctuation adjustment coefficient α i : When it is greater than 0, the intelligent lamp increases the adjustment range in the middle color temperature region; when it is less than 0, it decreases the adjustment range in the middle color temperature region; when it is equal to 0, there is no additional adjustment in the middle region. In the scene, the adjustable color temperature range of the lamps is generally reduced, and the reduced range is generally in the middle region of the color temperature adjustment range of the intelligent lamp. The introduction of the fluctuation adjustment coefficient α i can make the result more accurate.

[0020] It can be expressed using a piecewise function. The γ i value and α i value of each segment function can be different. Specifically, the corresponding γ i value and α i value are calculated according to the volt-ampere characteristic curve of the lamp, the color temperature mixing principle curve, or the combination of both adopted in this segment.

[0021] The target color temperature is taken between the extreme values of the color temperature range of the current execution scene, and stepless dimming is achieved within the value range. The adjustable color temperature range of a scene is displayed through the client operation interface, and the target color temperature value of a scene is input through the client and sent to all lamps in this scene via wireless communication.

[0022] Several lamps interact to form an Internet of Things system, and the system can be divided into several scenes; each of the several lamps includes: a main control chip that stores the unique device address of the lamp, the cold light extreme value T i,min and the warm light extreme value T i,max , as well as the scene number. The dimming control chip outputs electrical parameters according to the main control chip signal to adjust and control the brightness of the cold light circuit and the warm light circuit. The wireless communication module is used to interact with other devices in the system and share relevant color temperature data for calculation; the scene has a unique and non-repeating scene number, and the lamp device has a unique device address for binding to the scene. Each lamp can store multiple scene information; all lamps in the same scene execute the same color temperature adjustment scheme at the same time.

[0023] The cold light extreme value and the warm light extreme value are recorded in the lamp control chip when the lamp leaves the factory or during color temperature calibration. The adjustable range data of the initial color temperature of the lamp is bound to the lamp device address correspondingly.

[0024] An intelligent lamp can be bound to participate in multiple scenarios and store the extreme values of the color temperature range of each participating scenario. The extreme values of the color temperature range of each scenario do not affect each other. The current color temperature of the lamp depends on the target color temperature value to be achieved by the currently executed scenario.

[0025] The scenario has a unique scenario number, and the lamp device has a unique device address for binding to the scenario. All lamps within the same scenario execute the same color temperature adjustment scheme at the same time. The purpose of scenario compilation is to implement a unified color temperature adjustment scheme, which can also include settings such as lamp brightness and lighting duration in addition to color temperature adjustment. Through the client, operations such as adding, deleting, and modifying scenarios can be performed, and corresponding parameter settings and lamp device binding can be carried out through the client.

[0026] The adjustable range data of the lamp color temperature is the numerical values of the individual cold light extreme value and warm light extreme value recorded in the lamp control chip when the lamp leaves the factory or during color temperature calibration. The color temperature of the lamp beads selected during lamp production is determined, and the factory debugging personnel can directly input the extreme values of the color temperature range according to the color temperature of the lamp beads. If there is no factory color temperature data, the color temperature range of a specific lamp can also be obtained through color temperature calibration equipment and the data can be input into the lamp control chip for method program calls.

[0027] The present invention has the following beneficial effects: Each scenario independently adjusts the color temperature of the participating lamps, and stepless color temperature adjustment of the scenario can be realized. The influence of lamp types, manufacturers, and batches on batch adjustment of lamp color temperature is eliminated. The user experience is enhanced: The user can intuitively select the target color temperature through the operation interface, and the system will automatically adjust to the color temperature set by the user, providing a convenient operation experience. The expandability of color temperature adjustment in the intelligent lighting system is increased. Brief Description of the Drawings

[0028] Figure 1 is the flowchart of the method of the present invention.

[0029] Figure 2 is the first embodiment of the intelligent lighting lamp of the present invention.

[0030] Figure 3 is the second embodiment of the intelligent lighting lamp of the present invention.

[0031] Figure 4 is an embodiment of the application of the scenario of an intelligent lighting system. Detailed Embodiments

[0032] Such as Figure 2, The color temperature adjustment principle of the lamp is to use lamp beads with two different color temperatures to form a cold light path and a warm light path. By the dimming control chip, the luminous power of lamp beads and light paths with different color temperatures is different, and the mixing of two color temperatures is carried out to provide a specific color temperature value between the color temperatures of the two lamp beads.

[0033] Scene color temperature refers to the unified color temperature used in the application scene of the lighting equipment. The target color temperature of the scene refers to changing the current scene color temperature and adjusting it to another color temperature value.

[0034] The adjustable range of the initial color temperature of the lamp is achieved by mixing the cold light path and the warm light path of the lamp. The color temperature of the lamp beads used in each light path is fixed, and the range extreme values, that is, the end values of the range interval, are the color temperature values of the lamp beads in the cold light path and the warm light path. For the convenience of description, in this document, intelligent lighting lamps can be simply referred to as: lamps, intelligent lamps, lighting lamps.

[0035] The adjustable range of the initial color temperature of the lamp can be reduced by the program, that is, changed to the scene color temperature range through program constraints.

[0036] The scene color temperature range is the color temperature range that all participating lamps in the scene can provide, depending on the minimum value of the cold light extreme values of all lamps and the maximum value of the warm light extreme values of all lamps. For a specific color temperature value outside this scene color temperature range, at least one lamp in the scene will inevitably be unable to provide this color temperature value through mixing light.

[0037] Combined with Figure 1 Steps S1 to S5, and Figure 4 The specific implementation is described. Assume Figure 4 For all downlights in, since the color temperatures of the lamp beads are 3000K and 6300K, where K is the unit of color temperature: Kelvin. The downlights can initially adjust the color temperature within the range of [3000, 6300]K. Assume that the color temperature range of another two panel lights is within the range of [2700, 6000]K. When these two types of lamps cooperate to provide lighting for the same scene, then the adjustable color temperature range of the scene at this time should be defined by the extreme values of the color temperature ranges that both lamps can achieve. For the warm light extreme values of the lamps, choose the maximum value of 3000 from 3000 and 2700. For the cold light extreme values of the lamps, choose the minimum value of 6000 from 6000 and 6300. That is, the extreme values of the scene color temperature range are 3000K and 6000K, and the adjustable range of the scene color temperature is within the range of [3000, 6000]K. If the color temperature exceeds this range, such as wanting a color temperature of 2900K, the downlights cannot achieve it. Limited by the physical characteristics of their lamp beads, it also means that the color temperature cannot be adjusted to 2900K in this scene.

[0038] After the software such as the client has debugged and set which lamps are involved in the scene, when selecting the target color temperature in the scene, the client can prompt the selectable color temperature range.

[0039] For the convenience of description, the operation and calculation process of a specific lamp will be described. γ i and α i The representation of the intelligent lamp device address i is omitted and abbreviated as γ and α. Other parameters representing the device address i are also appropriately described with i omitted.

[0040] During the production of intelligent lamps, if the data is provided by the lamp bead manufacturer, the parameters of the non - linear adjustment function can be entered according to its data. If the lamp bead manufacturer does not provide relevant parameters, the initial default values are: γ is set to 1; α is set to 0.

[0041] Generally, for color temperature adjustment lamps made of lamp beads from the same manufacturer and the same batch, for the intelligent lamps of the same production batch, the non - linear adjustment coefficient γ and the fluctuation adjustment coefficient α used are the same, and sampling and calibration can be carried out. The calibration database formed by sampling can fit the best non - linear adjustment function for this batch through program algorithms. Then it is uniformly distributed to the intelligent lamps of this production batch and stored and subsequently called by the main control chip in the intelligent lamps.

[0042] During calibration, from the lowest color temperature to the highest color temperature of the intelligent lamp, multiple intermediate color temperature points are sampled at equal intervals. For each sampled color temperature point, the set color temperature and the actually measured color temperature are recorded.

[0043] The lamp operation color temperature curve fitting algorithm fits the sampled color temperature point data into the adjustment function model, and the stage γ and α values are calculated through this fitting curve.

[0044] Use the obtained fitting function to perform a complete color temperature adjustment, compare the expected color temperature and the actual color temperature, calculate the error, and judge whether the stage γ and α values exceed their corresponding error thresholds. If they exceed, repeat the above steps until the error is within the acceptable range.

[0045] Generally, the parameter constraints should be 0.5 ≤ γ ≤ 2.0 to ensure that the curve is not too extreme; - 5 ≤ α ≤ 5 to prevent the adjustment amplitude in the intermediate color temperature area from being too large.

[0046] Such as Figure 2 and Figure 3 . One type of embodiment is: for a color temperature adjustable intelligent lamp, the control of each color temperature lamp circuit is through power. For example, if two color temperature lamp circuits use the same power supply driver, when the power allocated to the warm - light lamp circuit is P, the power of the cold - light lamp circuit is 1 - P. Another situation is: each lamp circuit uses a separate power supply driver, and in most cases, the maximum power of the two power supply drivers is equal.

[0047] For the type with a separate power supply for each lamp circuit, the f i (x) function and T i (x) can be directly used to inversely calculate the electrical parameter values. For example, assume the target color temperature to which the downlight is to be adjusted is 4700K, and in the non-linear adjustment function of this batch of downlights, γ = 1.1 and α = 2.7. The calculation process is as follows: The color temperature function T i (x) is 4700 = 3000 + (6300 - 3000)* f i (x) expression, and we can get f i (x)=17 / 33. Substitute f i (x) to calculate the current parameter x that needs to be adjusted, , and through Python code programming to implement numerical calculation, x is obtained to be approximately 0.512. This simple calculation method is usually applicable to application scenarios where the mixed light of warm and cold color temperatures has a major impact, such as each of the warm and cold light circuits has a separate power supply for control.

[0048] In addition to using x to represent the corresponding circuit power, in specific calculations, according to whether the power supply used is a constant voltage source or a constant current source, current, voltage, etc. can be selected as the meaning represented by x. Taking current as an example, the x value corresponding to the maximum current allowed by the lamp is 1, and the x value corresponding to 0 current is 0. For intermediate values, x can be taken as a percentage, and finally the regulated color temperature is used as the output current value for this lamp circuit according to the product of x and the maximum value of the current.

[0049] There are many color temperature adjustable lamps on the market where the same power supply controls the warm and cold light LED beads of two circuits. For example, if the power percentage of the cold light circuit is P, then the power percentage of the other warm light circuit is 1 - P. In this implementation method, if high requirements are placed on the color temperature regulation curve and it is desired that the difference in the target color temperature of the achieved scene is not easily observable by the human eye, then based on the formula content of the technical solution, using a piecewise function for representation can achieve a more accurate regulation effect.

[0050] Preferably, using a three-segment function for representation can make the color temperature regulation more accurate. For example, when a relatively large amount of power is allocated to the cold light circuit, such as more than 80% of the total power supply, at this time the non-linear adjustment function of the overall lamp mainly depends on the volt-ampere characteristic curve of the LED beads of the cold light circuit, and the influence of the mixed light of warm and cold light can be ignored for the function; similarly, when a relatively large amount of power is allocated to the warm light circuit, it mainly depends on the volt-ampere characteristic curve of the LED beads of the warm light circuit; and when the power of each LED bead circuit is between 20% and 80%, the non-linear adjustment function is mainly affected by the color temperature mixing principle in addition to the volt-ampere characteristic curve of the LED beads. Then in this power range, f i(x)Comprehensive consideration should be given in the calculation. Therefore, when expressing these three segments of non-linear adjustment functions, generally, the values of γ and α in each segment are different, and it is extremely unlikely to have repeated γ and α values. The above-mentioned percentage values are determined according to the specific characteristics of the lamp beads used in the lamp and the power supply characteristics, and only represent one embodiment, not a limitation on the technical method.

[0051] According to the piecewise function described above, combined with the method of the present technical solution that first restricts the lamp to the extreme value interval of the scene color temperature range and then adjusts it to the target color temperature value, there will be a more accurate adjustment, reducing errors. Generally, when several lamps are adjusted to within the error range of the target color temperature value ±100, the human eye can hardly distinguish. The reason for using the piecewise function to first restrict the lamp to the extreme value of the scene color temperature range is that the extreme value of the scene color temperature range is selected from the cold light extreme value and the warm light extreme value of several lamps. The color temperatures of the downlights are 3000K and 6300K, and the color temperature ranges of the other two panel lights are 2700K and 6000K. Although the specific extreme value numbers of the two types of lamps are different, they are relatively close. Then, when the downlights and panel lights approach the extreme values of the 3000K and 6000K scene color temperature ranges in this scene, using the non-linear piecewise function, the part of the piecewise function representing the volt-ampere characteristics of the adjusted lamp beads will have a smaller error when approaching 3000K or 6000K. After the downlights and panel lights input the extreme values of the scene color temperature, when adjusting to the target color temperature set by the personnel within the extreme value range of the scene color temperature, the section f representing the color temperature mixing of the light is used. i (x)The error of the target value to be adjusted is smaller.

[0052] For the dimming control chip controlled by the main control chip, the selection of electrical parameters and the output to the lamp circuit are electrical parameters that are linearly related to voltage or current, and the T described above can be directly used. i (x)Function for calculation.

[0053] Using the gradient descent algorithm, calculate the accurate data of the γ value and the α value. The value of γ determines the overall shape of the color temperature adjustment curve. The γ value can be dynamically adjusted according to the relationship between the current color temperature and the target color temperature range. The calculation function is: . Where T current is the current color temperature of the lamp, T mid = (T min + T max ) / 2 is the midpoint of the color temperature range, T min and T max are the minimum and maximum adjustable color temperatures respectively. k γ is an adjustment factor used to control the degree of non-linearity. Preferably, k γ = 0.1.

[0054] The feature of the method of the present invention using this γ calculation formula is that when the current color temperature is close to the midpoint of the color temperature range, γ is close to 1, presenting an approximately linear adjustment. When the current color temperature is close to the boundary of the color temperature range, γ deviates from 1, providing a stronger non-linear adjustment. The sign of k γ determines whether to provide a stronger adjustment ability in the high color temperature or low color temperature region.

[0055] The value of α affects the fine adjustment ability in the intermediate color temperature region. The α value can be dynamically adjusted according to the difference between the current color temperature and the target color temperature, and the calculation function is: . Where: T current is the current actual display color temperature of the lamp, T target is the target color temperature corresponding to each T current during the calibration process, T min and T max are the minimum and maximum adjustable color temperatures respectively. k α is an adjustment factor used to control the amplitude of the fluctuation. Preferably, k α = 0.05. σ is a parameter used to control the width of the Gaussian function, and is preferably set to σ = (T max - T min ) / 6.

[0056] The feature of the method of the present invention using this α calculation function is that the sine function is used to ensure the smooth change of the α value within the entire color temperature range. The Gaussian function can ensure that α reaches the maximum value when approaching the target color temperature and decreases rapidly when far from the target color temperature. k α controls the overall amplitude of the fluctuation.

[0057] Such as Figure 4 . When the lamp using the method of the present invention leaves the factory or after color temperature calibration, it is necessary to record the color temperature value through the main control chip of the lamp or a chip with storage function, and bind it with the unique device address of the lamp. For example, it is agreed that the data format is: first ID data, then W data, and finally C data. Where ID represents the lamp device address, W is the warm light extreme value, and C is the cold light extreme value. Taking the above-mentioned downlight device address of 3579 as an example, the initial complete data provided during the method application process is: ID3579W3000C6300.

[0058] Suppose this downlight participates in two scenarios: book lighting and clothing lighting. The number data definition of the lighting scene 1 in the first area of the exhibition wall is recorded as S1, that is, scene1, and the lighting scene 2 in the second area of the exhibition wall is defined as S2. The adjustable color temperature range of scene S1 is [3000, 6000]K, and the color temperature range of scene 2 affected by the chandelier is [4000, 6300]K.

[0059] The data of the ID3579 downlight after storing two scenes can be specifically: ID3579W3000C6300, S1W3000C6000, S2W4000C6300. In the specific user operation process, for example, the user changes the color temperature of the downlight from the original 6300K of scene 2 to 5000K of scene 1, the downlight first identifies the data message of S1, and then compares the range data of 5000K and W3000C6000. If it is within the range, it will directly change to 5000K. If it exceeds the scene range, it needs to be fed back to the user so that he can make further adjustments or corrections.

[0060] The relevant scene 1 and scene 2 color temperature adjustment ranges, the lamps involved in each scene, and the success and error feedback of the color temperature adjustment process can all be displayed through the client operation interface for direct user use.

[0061] Regarding the entry of the initial color temperature adjustable range data of the lamp. One implementation method is: before leaving the factory, the manufacturer shall send a unified wireless communication based on the color temperature of the purchased lamp beads and the same production batch of lamps. The second implementation method is: after leaving the factory, when the lamp is installed and used by the user, the user sends the data to the wireless communication debugging device according to the color temperature range on the lamp housing or packaging. The third implementation method is: after the lamp is installed, it is not easy for the user to obtain the manufacturer's nominal color temperature adjustable range, and it is necessary to use a calibration device to calibrate the color temperature range of the lamp. At this time, the color temperature calibration device sends a command to let the cold light lamp path 100% luminous power and the warm light lamp path 0% power to identify the cold light extreme value, and then let the cold light lamp path 0% luminous power and the warm light lamp path 100% power to identify the warm light extreme value, and then send it through the wireless communication function of the calibration device and enter it into the lamp control chip.

Claims

1. A method for batch controlling the color temperature of intelligent lighting fixtures, comprising: After the lamps are installed and running, debug and set the scene, bind the scene and the lamps involved, and obtain the initial color temperature adjustable range data of each lamp i participating in the scene, that is, the cold light extreme value T of the color temperature adjustable range interval i,min And warm light extreme value T i,max The extreme values ​​of the scene color temperature range are stored in the lamps participating in the scene. In this scene, for any lamp i, when it changes to the unified target color temperature of the scene, the adjustment function is: ; The user enters the target color temperature T that he wants to achieve through the system client target All lamps in the scene are uniformly adjusted to the target color temperature using the aforementioned method steps; characterized in that the method comprises: Smart lamps are calibrated and the calibration results are processed into nonlinear adjustment functions Storage, i is the unique address of the lamp device, x is the dimming input signal parameter of lamp i; It can be expressed using piecewise functions, and the γ of each piece of function i Value and α i The value can be different, specifically according to the lamp volt-ampere characteristic curve, color temperature mixing principle curve, or a combination of the two to calculate the corresponding γ of each segment. i Value and α i value; The parameter γ i : When it is greater than 1, the intelligent lamp changes slowly in the low color temperature area and changes quickly in the high color temperature area. When it is less than 1, the intelligent lamp changes quickly in the low color temperature area and changes slowly in the high color temperature area. When it is equal to 1, it changes linearly. Parameter α i : If it is greater than 0, the intelligent lamp will increase the adjustment range in the middle color temperature area; if it is less than 0, the adjustment range will be reduced in the middle color temperature area; if it is equal to 0, there will be no additional adjustment in the middle area; The minimum value is selected for the cold light extreme value comparison of the lamps in the scene, and the maximum value is selected for all warm light extreme value comparisons, and the two are used as the extreme value T of the scene color temperature range. scenecold and T scenewarm .

2. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 1, characterized in that: The nonlinear adjustment function , where γ i is the nonlinear adjustment coefficient that controls the overall nonlinearity, α i It is the fluctuation adjustment coefficient, which controls the fine adjustment of the intermediate color temperature area.

3. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 2, characterized in that: The gamma i and α i The gradient descent algorithm is used, combined with the extreme values ​​of the color temperature range of the smart lamps and the sampling values ​​within the range, to calculate the accurate value.

4. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 1, characterized in that: The target color temperature is taken between the extreme values ​​of the color temperature range of the currently executed scene, and stepless dimming is achieved within the value range. The adjustable color temperature range of the scene is displayed through the client operation interface. The target color temperature value of a scene is input through the client and sent to all lamps in the scene through wireless communication.

5. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 1, characterized in that: The smart lamp includes: a main control chip storing a unique device address of the lamp, a cold light extreme value T i,min And warm light extreme value T i,max , and scene number; the cold light extreme value and warm light extreme value are the values ​​recorded in the lamp control chip when the lamp leaves the factory or when the color temperature is calibrated. The initial color temperature adjustable range data of the lamp is bound to the corresponding lamp device address.

6. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 1, characterized in that: The scene has a unique non-repetitive scene number, and the lighting device has a unique device address for binding to the scene. Each lighting fixture can store multiple scene information. An intelligent lighting fixture can be bound to participate in multiple scenes and store the color temperature range extremes of each participating scene. The color temperature range extremes of each scene do not affect each other. The current color temperature of the lighting fixture depends on the target color temperature value to be achieved by the currently executed scene.

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