Method and system for regulating and controlling color temperatures of intelligent lighting lamps in batches

Abstract

The invention discloses a method and system for batch regulation and control of color temperatures of intelligent lighting lamps. According to the method, the intelligent lamp firstly calibrates and generates a nonlinear adjustment function, the nonlinear adjustment function comprises gamma for controlling the overall nonlinear degree and alpha for finely adjusting the intermediate color temperature, and the numerical value of the nonlinear adjustment function is calculated through a gradient descent algorithm. Setting a scene, binding the scene and the lamp equipment, obtaining an initial color temperature range extreme value of each lamp, and comparing to obtain a scene color temperature range extreme value range; and inputting the target color temperature, and uniformly dimming the lamps in the scene according to the scene adjustment function. In the system aspect, a plurality of lamps interact to form a system, the system divides scenes, the scenes have unique numbers bound with lamp addresses, and the lamps in the same scene execute the same color temperature adjustment scheme at the same time. The color temperature of the lamp can be accurately and uniformly regulated and controlled in batches. The color temperature of the lamps can be adjusted in batches in each independent scene, and electrodeless color temperature adjustment is achieved. And the influence of lamp types, manufacturers, lamp bead using characteristics and production process batches on lamp color temperature batch adjustment is eliminated.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things lighting engineering and the technical field of realizing lighting effect control by measuring the color temperature range of lamps, and in particular 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 not only provides illumination, but also is one of the key factors in creating atmosphere and improving environmental quality. As an important function in intelligent lighting systems, 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 illuminated objects to highlight product features and increase display effects. For example, study rooms or books require cold light color temperature illumination; restaurants, cafes and other leisure places often choose warm light for clothing products to create a comfortable and warm atmosphere.

[0003] It is generally believed that cold light has a color temperature of more than 5000K, and the light effect is bluish when observed by the naked eye, giving people a cool feeling. Warm light has a color temperature of less than 5000K, and the light effect is yellowish when observed by the naked eye, giving people a warm feeling.

[0004] Traditional color temperature control methods usually only provide 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 uniform color temperature, color temperature control operations are no longer allowed.

[0005] If the software needs to adjust more color temperature values, it is usually required that the lighting equipment used in the same control scene has 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 panel lights, spotlights, downlights, light strips and other types of lighting, it is necessary to customize a unified color temperature adjustment range. However, this kind of customization is extremely expensive.

[0006] In order to save costs, different types of lamps from different manufacturers and batches are purchased. There will also be situations where different manufacturers, batches, and types of lamps have different color temperature ranges. It is difficult to uniformly adjust the color temperature target value for the specific application scenario. The uneven color temperature of the lamps can be visibly affected by the naked eye. Accurate adjustment requires the debugging personnel to use color temperature detection instruments to measure and adjust at the same time, and only one lamp can be adjusted to the target color temperature. To change the target color temperature again, the tedious 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] The present invention is to solve the problems mentioned in the background technology, meet the needs of users for flexible changes in the color temperature of the lighting environment, and develop an intelligent lighting system that can accurately, uniformly, and batch control the color temperature. By accurately controlling each lamp device participating in the scene, the uniform adjustment of the color temperature in the scene is achieved. This ensures the accuracy and consistency of the color temperature adjustment. The color temperature adjustment of lamps in different scenes does not affect each other, which improves the flexibility and adaptability of the system.

[0009] Smart lamps are calibrated and the calibration results are processed into nonlinear adjustment functions Storage, i is the unique address of the lighting device, x is the dimming input signal parameter of the lighting device i; after the lighting device is installed and operated, debug and set the scene to bind the scene and the lighting devices involved, and obtain the initial color temperature adjustable range data of the lighting device i participating in each 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 .

[0010] The initial color temperature range of each participating lamp is determined by the cold light and warm light lamp beads used by different manufacturers and production batches. The full power color temperature value of the cold light lamp bead and the full power color temperature value of the warm light lamp bead are the extreme values ​​of the color temperature adjustment range of the lamp. The lamp adjusts the color temperature within the extreme range by assigning different powers to different lamp paths. The initial color temperature is determined by the physical properties of the lamp beads.

[0011] The current scene requires color temperature adjustment. First, bind the scene and the participating lamps. The number of participating lamps depends on the lamps covered by the area where the scene is applied. The binding of the scene and the participating lamps is a virtual setting through data. The binding relationship is stored in each participating lamp and the client device that wants to control the scene for color temperature adjustment.

[0012] The minimum value is selected for all the cold light extreme values ​​of the lamps in this scene, and the maximum value is selected for all the warm light extreme values. The two are used as the cold light and warm light extreme values ​​T of the scene color temperature range. scenecold and T scenewarm .

[0013] All participating lamps in the scene are automatically selected by the system running the program: all cold light extreme values ​​are compared and the minimum value is selected as the upper limit of the scene color temperature adjustment T scenecold = min(T i1,max ,T i2,max ,..., T in,max ). Compare all the warm light extreme values ​​and select the maximum value as the lower limit of scene color temperature adjustment, T scenewarm = max(T i1,min , T i2,min , ..., T in,min), both of which are the extreme values ​​of the scene color temperature range. This is the short board effect of the lighting system application scenario. The value of the scene color temperature adjustable range can only be selected from the minimum adjustment range of the participating lamp color temperature. in,max and T in,min The n in the represents the nth luminaire participating in the scene, and i represents the device address of the smart luminaire.

[0014] The color temperature adjustment range of each lamp participating in the scene is converted into the extreme value of the scene color temperature range, that is, the electrical parameters or power of the cold light circuit and the warm light circuit are adjusted to the extreme value of the scene color temperature range and stored in the lamp. The 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 range composed of the extreme values ​​of the scene color temperature range. Infinite dimming can be achieved within this range.

[0015] The user enters the target color temperature T that he wants to achieve through the system client i (x) = T target All lamps in the scene are uniformly adjusted to the target color temperature using the aforementioned method steps. All lamps in the scene are uniformly adjusted to the target color temperature. The target color temperature is manually set by the operator and the adjustment parameters are input. The specific value is determined according to the color temperature design required by the illuminated object in the scene or the operator's perception and needs.

[0016] 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 inputs the target color temperature to be achieved through the system client, and all lamps in the scene are uniformly adjusted to the target color temperature T using the aforementioned method steps. target . For the lighting fixtures in the scene T i (x) = T target , reversely solve the specific signal parameter x that needs to be given by the main control chip and the dimming control chip.

[0017] Preferably, the nonlinear adjustment function It can be expressed as: , 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. 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 show a nonlinear input-output relationship, and the power function can also effectively simulate and compensate for this nonlinear characteristic. Sine modulation (1+ α i* sin(π * x)) is chosen based on the requirement of smooth transition of stepless dimming. Local fine adjustment can be achieved in different color temperature areas through the fluctuation adjustment coefficient. The most common method is to divide the color temperature area into three areas: warm light, neutral light, and cold light.

[0018] Nonlinear adjustment coefficient γ i : When it is greater than 1, the smart lamps change slowly in the low color temperature area and change quickly in the high color temperature area; when it is less than 1, the smart lamps change quickly in the low color temperature area and change slowly in the high color temperature area; when it is equal to 1, it changes linearly, which rarely occurs.

[0019] Fluctuation Adjustment Coefficient α i : greater than 0, the intelligent lamp increases the adjustment range in the middle color temperature area; less than 0, the adjustment range is reduced in the middle color temperature area; equal to 0, no additional middle area adjustment. In the scene, the lamps have basically narrowed the adjustable color temperature range, and the narrowed range is generally in the middle area of ​​the intelligent lamp color temperature adjustment range. The fluctuation adjustment coefficient α i The introduction of can make the results more accurate.

[0020] 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.

[0021] 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 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 the scene through 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 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 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-repetitive scene number, and the lighting equipment has a unique device address for binding to the scene. Each lighting fixture can store multiple scene information. All lighting fixtures 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 values ​​recorded in the lamp control chip when the lamp leaves the factory or is calibrated for color temperature. The data of the initial color temperature adjustable range of the lamp is bound to the device address of the lamp.

[0024] A smart lamp 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 lamp depends on the target color temperature value to be achieved by the currently executed scene.

[0025] The scene has a unique scene number, and the lighting device has a unique device address for binding with the scene. All the lamps in the same scene execute the same color temperature adjustment scheme at the same time. The purpose of scene compilation is to achieve a unified color temperature adjustment scheme. In addition to color temperature adjustment, it can also include settings such as lamp brightness and lighting duration. The client can add, delete, and modify scenes, and can set corresponding parameters and bind lighting devices through the client.

[0026] The adjustable color temperature range data of the lamp refers to the individual cold light extreme value and warm light extreme value values ​​recorded in the lamp control chip when the lamp leaves the factory or when the color temperature is calibrated. The color temperature of the lamp beads selected during lamp production is fixed, and the factory debugging personnel can directly enter the color temperature range extreme value according to the color temperature of the lamp beads. If the factory color temperature data is not available, the color temperature range of the specific lamp can also be collected through the color temperature calibration equipment, and the data can be entered into the lamp control chip for the method program to call.

[0027] The present invention has the following beneficial effects: Each scene can independently adjust the color temperature of the participating lamps, and can achieve stepless color temperature adjustment of the scene. It eliminates the influence of lamp type, manufacturer and batch on batch adjustment of lamp color temperature. It enhances user experience: users 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. It increases the scalability of color temperature adjustment of the intelligent lighting system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flow chart of the method of the present invention.

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

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

[0031] Figure 4 The invention is a scene application embodiment of an intelligent lighting system. DETAILED DESCRIPTION

[0032] like Figure 2The principle of color temperature adjustment of lamps is to use two lamp beads with different color temperatures to form a cold light circuit and a warm light circuit. The dimming control chip gives different luminous powers to lamp beads and lamp circuits with different color temperatures, and mixes the two color temperatures to provide a specific color temperature value between the two lamp bead color temperatures.

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

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

[0035] The initial color temperature adjustable range of the lamp can be narrowed 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, which is determined by the minimum value of the cold light extreme value of all lamps and the maximum value of the warm light extreme value of all lamps. If a specific color temperature value exceeds the scene color temperature range, there must be at least one lamp in the scene that cannot provide this color temperature value through light mixing.

[0037] Combination Figure 1 Steps S1 to S5, and Figure 4 The specific implementation method is described below. Figure 4 All downlights in the scene have a color temperature of 3000K and 6300K, where K is the unit of color temperature: Kelvin. Downlights can initially adjust color temperature within the range of [3000, 6300]K. Assuming that the color temperature range of the other two panel lights is in the range of [2700, 6000]K, and the two types of lamps mentioned above are used to provide lighting for the same scene, then the adjustable color temperature range of the scene should be defined by the extreme values ​​of the color temperature range that both lamps can achieve. The extreme values ​​of warm light of the lamps are 3000 and 2700, from which the maximum value of 3000 is selected, and the extreme values ​​of cold light of the lamps are 6000 and 6300, from which the minimum value of 6000 is selected, that is, the extreme values ​​of the scene color temperature range are 3000K and 6000K, and the adjustable color temperature range of the scene is within the range of [3000, 6000]K. If the color temperature exceeds this range, for example, 2900K is desired, the downlight cannot achieve this because it is limited by the physical characteristics of the lamp beads, which also means that it cannot be adjusted to 2900K in this scenario.

[0038] After the scene is debugged and set up which lamps are involved through the client and other software, when selecting the target color temperature in the scene, the client can prompt the optional color temperature range.

[0039] For the convenience of description, the operation and calculation process of a specific lamp is described. i and α i The representation of the device address i of the intelligent lighting device is omitted and abbreviated as γ and α. The description of other parameters where i represents the device address is also omitted appropriately.

[0040] When producing smart lamps, the data provided by the lamp bead manufacturer can be used to enter the parameters of the nonlinear adjustment function according to their 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] In general, color temperature adjustment lamps made of the same batch of lamp beads from the same manufacturer, and the same batch of smart lamps, use the same nonlinear adjustment coefficient γ and fluctuation adjustment coefficient α, and can be sampled and calibrated. The calibration database formed by sampling can fit the best nonlinear adjustment function of this batch through the program algorithm. Then it is uniformly distributed to the smart lamps of this production batch, and stored and subsequently called by the main control chip in the smart lamps.

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

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

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

[0045] Normally, the parameter constraint limit should be 0.5 ≤ γ ≤ 2.0 to ensure that the curve is not too extreme; -5 ≤ α ≤ 5 to prevent excessive adjustment in the intermediate color temperature area.

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

[0047] For the type with a single power supply for each lamp circuit, you can directly use f i (x) function and T i (x) Directly reversely calculate the electrical parameter value. For example, assuming that the target color temperature of the downlight is 4700K, the nonlinear adjustment function of this batch of downlights has γ=1.1 and α=2.7. The calculation process is as follows: Color temperature function T i (x) is 4700 = 3000 + (6300 - 3000)* f i (x) and we can get f i (x)=17 / 33. Substitute into f i (x) Calculate the current parameter x that needs to be adjusted, , numerical calculation is performed by Python code programming, and x is approximately 0.512. This simple calculation method is usually applicable to application scenarios where cold and warm color temperature mixed light plays a major role, such as when each cold and warm light path has a separate power supply for control.

[0048] In addition to using x to represent the corresponding circuit power, in specific calculations, current, voltage, etc. can be selected as the meaning of x, depending on whether the power source used is a constant voltage source or a constant current source. Taking current as an example, the x value corresponding to the maximum current allowed by the lamp is 1, and 0 current corresponds to x as 0. The value in between allows x to be taken as a percentage, and the final color temperature is adjusted according to the product of x and the maximum current as the current value output to the lamp circuit.

[0049] However, there are many color temperature adjustable lamps on the market, which use the same power supply to control two channels of cold and warm light beads. For example, if the power percentage of the cold light channel is P, then the power percentage of the other warm light channel is 1-P. Under this implementation method, if the color temperature control curve is required to be high, and the target color temperature of the scene to be achieved is not easily observed by the human eye after control, then based on the formula content of the technical solution, a piecewise function can be used to express it to achieve a more precise control effect.

[0050] Preferably, the three-segment function can make the color temperature control more accurate. For example, when more power is allocated to the cold light path, for example, more than 80% of the total power of the power supply, the nonlinear adjustment function of the lamp as a whole is mainly affected by the volt-ampere characteristic curve of the LED lamp beads of the cold light path, and the influence of cold and warm light mixing can be ignored for the function; similarly, when more power is allocated to the warm light path, it is also mainly affected by the volt-ampere characteristic curve of the LED lamp beads of the warm light path; and the power of each lamp bead is between 20% and 80%. In addition to being affected by the volt-ampere characteristic curve of the LED lamp bead, the nonlinear adjustment function is more mainly affected by the color temperature mixing principle. In this power range, f i(x) should be calculated comprehensively. Therefore, when expressing the three nonlinear adjustment functions, the γ and α values ​​of each section are generally different, and repeated γ and α values ​​are rarely possible. The above percentage values ​​are determined according to the specific characteristics of the lamp beads used in the lamp and the characteristics of the power supply. They only represent an embodiment and are not a limitation on the technical method.

[0051] According to the aforementioned piecewise function, combined with the method of the present technical solution, first constraining the lamps to the extreme value interval of the scene color temperature range, and then adjusting to the target color temperature value, there will be a more accurate adjustment, reducing the error. Generally, several lamps are adjusted to the target color temperature value within the error range of ±100, which is basically indistinguishable to the human eye. The reason for the piecewise function to first constrain the lamps 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 warm light extreme value of several lamps. The downlight lamps are 3000K and 6300K, and the color temperature range of the other two panel lamps is 2700K and 6000K. Although the specific extreme values ​​of the two types of lamps are different, they are relatively close. Then, when the downlight and the panel lamp are both adjusted to the extreme value of the scene color temperature range of 3000K and 6000K in this scene, the nonlinear piecewise function is used, and the piecewise function part that characterizes the adjustment of the volt-ampere characteristic of the lamp beads will be closer to 3000K or 6000K. The error is smaller. After recording the scene color temperature extreme value, when adjusting the downlight and panel light to the target color temperature set by the personnel within the scene color temperature extreme value range, the f section representing the color temperature mixed light is used. i (x) The error of the adjusted target value is smaller.

[0052] For the dimming control chip controlled by the main control chip, the electrical parameter selection and output to the lamp circuit are the electrical parameters that are linearly related to the voltage or current, and the T i (x) function to perform calculations.

[0053] The gradient descent algorithm is used to 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 color temperatures that can be adjusted. γ is a regulating factor used to control the degree of nonlinearity. The preferred k γ =0.1.

[0054] The characteristic 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, showing an approximately linear adjustment. When the current color temperature is close to the boundary of the color temperature range, γ will deviate from 1, providing a stronger nonlinear adjustment. γ The sign determines whether a stronger adjustment capability is provided in the high color temperature or low color temperature area.

[0055] The value of α affects the fine adjustment capability of the intermediate color temperature area. The α value can be dynamically adjusted according to the difference between the current color temperature and the target color temperature. The calculation function is: . Where: T current is the actual color temperature displayed by the lamp, T target The calibration process corresponds to each T current The target color temperature, T min and T max are the minimum and maximum color temperatures that can be adjusted. α is an adjustment factor used to control the amplitude of fluctuations, and the preferred k α =0.05. σ is a parameter used to control the width of the Gaussian function, and the preferred setting is σ=(T max -T min ) / 6.

[0056] The characteristic of the method of the present invention using this α calculation function is that the sine function is used to ensure that the α value changes smoothly in the entire color temperature range. The Gaussian function can ensure that α reaches the maximum value when it is close to the target color temperature and decreases rapidly when it is far away from the target color temperature. α Control the overall fluctuation range.

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

[0058] The downlight is added to participate in two scenes, book lighting and clothing lighting. The data of the lighting scene 1 in the exhibition wall area 1 is defined as S1, i.e. scene 1, and the lighting scene 2 in the exhibition wall area 2 is defined as S2. The color temperature of scene S1 can be adjusted in the range of [3000, 6000] K. 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, 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; 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 minimum value is selected for all the cold light extreme values ​​of the lamps in this scene, and the maximum value is selected for all the warm light extreme values. The two are used as the extreme values ​​of the scene color temperature range T scenecold and T scenewarm ; 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.

2. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 1, characterized in that: The nonlinear adjustment function It can be expressed as: , 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 nonlinear adjustment function The parameter γ i : When it is greater than 1, the smart 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 smart 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.

4. The method for batch controlling the color temperature of intelligent lighting fixtures according to claim 2, characterized in that: The nonlinear adjustment function The parameter α i : When it is greater than 0, the intelligent lamp increases the adjustment range in the middle color temperature area; when it is less than 0, the adjustment range is reduced in the middle color temperature area; when it is equal to 0, there is no additional adjustment in the middle area.

5. 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.

6. A method for batch controlling the color temperature of intelligent lighting fixtures according to any one of claims 1 to 5, characterized in that: 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.

7. 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.

8. A system for batch control of color temperature of intelligent lighting fixtures, characterized in that: Several lamps interact to form an IoT system, which can be divided into several scenes; Each of the plurality of lamps comprises: 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 dimming control chip outputs electrical parameters according to the main control chip signal to adjust the brightness of the cold light path and the warm light path. 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 non-repetitive scene number, and the lighting device has a unique device address for binding with the scene. Each lighting device can store multiple scene information; all lighting devices in the same scene execute the same color temperature adjustment scheme at the same time.

9. The system for batch controlling the color temperature of intelligent lighting fixtures according to claim 8, characterized in that: The cold light extreme value and the warm light extreme value are values ​​recorded in the lamp control chip when the lamp leaves the factory or is calibrated for color temperature. The data of the initial color temperature adjustable range of the lamp is bound to the device address of the lamp.

10. The system for batch controlling the color temperature of intelligent lighting fixtures according to claim 8, characterized in that: A lamp 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 lamp depends on the target color temperature value to be achieved by the currently executed scene.

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