Scene-based LED light strip adaptive control method, device and equipment

Abstract

The present application relates to the technical field of lighting control, solves the problem that the lighting control lacks self-learning ability in the prior art, which makes it difficult to balance comfort and personalized needs, and provides a scene-based LED light strip adaptive control method, device and equipment. The method comprises the following steps: acquiring scene information of a physical space where an LED light strip is located, acquiring lighting control strategies of the LED light strip in different time periods within a first preset period according to the scene information; in the first preset period, in response to a user switch instruction, lighting is performed according to the lighting control strategy of the current time period and the environmental parameters; the lighting control strategy is updated according to the historical lighting data in the first preset period; after the first preset period, in response to a user switch instruction, the LED light strip is controlled to perform lighting according to the adjusted lighting control strategy of the current time period and the environmental parameters. The present application can effectively improve the intelligent level of the lighting system and user satisfaction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lighting control, and in particular to a scene-based LED light strip adaptive control method, device and equipment. BACKGROUND

[0002] With the popularity of smart home and commercial intelligent lighting, LED light strips are widely used in various scenarios such as residential, office, retail display and entertainment due to their flexible arrangement, multi-color display and low power consumption. The existing technology usually adopts the following two types of control methods:

[0003] A number of static or dynamic lighting scenes such as "reading, leisure, cinema" are pre-set by the light strip controller or mobile phone App, and then manually switched by the user when needed. This method can meet the brightness, color temperature and color requirements in different use situations to a certain extent, but once the scene parameters are set, they remain fixed for a long time, and it is difficult to take into account the natural light changes and individual preference differences.

[0004] Some improved schemes add an ambient light sensor to the light strip system, so that the controller can automatically compensate the light according to the real-time illuminance or color temperature. However, this kind of scheme mostly only executes simple logic (such as threshold switch or linear compensation) at "current time", without forming a periodic strategy updating mechanism; and the compensation logic usually targets a single environmental quantity, and cannot coordinate the three-dimensional parameters of brightness, color temperature and color at the same time, which is prone to problems of inconsistent light effect or color imbalance.

[0005] The existing scene lighting system based on LED light strips generally lacks self-learning ability driven by historical data: it cannot dynamically optimize the lighting control strategy for the subsequent period according to the real use time, environmental light changes and user switch instructions and other information within a complete period, resulting in that the initial scene parameters are still followed after a long time of running, and it is difficult to take into account the comfort, energy saving and personalized needs. SUMMARY

[0006] Therefore, the embodiments of the present application provide a scene-based LED light strip adaptive control method, device, equipment and storage medium, to solve the problem that the lighting control in the prior art lacks self-learning ability, making it difficult to take into account the comfort, energy saving and personalized needs.

[0007] In a first aspect, the embodiments of the present application provide a scene-based LED light strip adaptive control method, which comprises:

[0008] Obtaining scene information of a physical space where the LED light strip is located, wherein the scene information comprises a scene type, a space area and a number of light strips in the physical space;

[0009] According to the scene information, obtain lighting control strategies of the LED lamp strip in different time periods within a first preset period, wherein the lighting control strategy comprises a brightness parameter, a color temperature parameter and a color parameter;

[0010] In the first preset period, in response to a user switch instruction, control the LED lamp strip to perform lighting according to the lighting control strategy of the current time period and the environmental parameter;

[0011] According to the historical lighting data of the LED lamp strip within the first preset period, update the lighting control strategy;

[0012] After the first preset period, in response to a user switch instruction, control the LED lamp strip to perform lighting according to the adjusted lighting control strategy of the current time period and the environmental parameter.

[0013] Preferably, the obtaining of the lighting control strategies of the LED lamp strip in different time periods within a first preset period according to the scene information comprises:

[0014] According to the scene type, obtain target lighting parameters of the physical space, wherein the target lighting parameters comprise an illuminance target interval, a color temperature target interval and a color target interval of the scene type within a preset time period;

[0015] According to the space area and the illuminance target interval, obtain total target illuminances of the physical space in different time periods;

[0016] According to the space area, the number of lamp strips and the scene type, obtain a lamp strip lighting contribution ratio, wherein the lamp strip lighting contribution ratio is positively correlated with the number of lamp strips and negatively correlated with the space area;

[0017] According to the total target illuminance, the lamp strip lighting contribution ratio and the number of lamp strips, obtain a brightness control curve of each LED lamp strip;

[0018] According to the curve variation characteristics of the brightness control curve, the color temperature target interval and the color target interval, obtain a color temperature control curve and a color control curve of each LED lamp strip;

[0019] Smooth the brightness control curve, the color temperature control curve and the color control curve to obtain the lighting control strategies of the LED lamp strip in different time periods.

[0020] Preferably, the control of the LED lamp strip to perform lighting in a first preset period according to the lighting control strategy of the current time period and the environmental parameter in response to a user switch instruction comprises:

[0021] In response to a user switch instruction, obtain an instruction issuing time and an environmental parameter;

[0022] According to the illumination control strategy corresponding to the instruction issuing time, a target illumination parameter is obtained, and the target illumination parameter includes a target brightness parameter, a target color temperature parameter and a target color parameter;

[0023] The target brightness parameter and the target color temperature parameter are set as end points, and a multi-channel target end point set is established;

[0024] According to the multi-channel target end point set and the preset slope value, initial control curves of brightness and color temperature are obtained through a smoothing interpolation algorithm;

[0025] According to the initial illumination control curve and the target color parameter, the LED lamp strip is gradually turned on;

[0026] During the gradual turning-on process, the end points of the illumination control curves of brightness and color temperature are adjusted according to the environmental parameters;

[0027] According to the adjusted illumination control curve, the LED lamp strip is controlled to be illuminated.

[0028] Preferably, during the gradual turning-on process, the end points of the illumination control curves of brightness and color temperature are adjusted according to the environmental parameters, including:

[0029] According to a preset sampling period, environmental parameters are collected, and the environmental parameters include an environmental light intensity sequence and an environmental light color temperature sequence;

[0030] The environmental parameters are smoothed to obtain a smoothed light intensity and a smoothed color temperature;

[0031] According to the change trend of the smoothed light intensity and the smoothed color temperature, a predicted light intensity and a predicted color temperature are obtained;

[0032] According to the smoothed light intensity and the smoothed color temperature, and the target brightness parameter and the target color temperature parameter, an actual brightness deviation and an actual color temperature deviation are obtained;

[0033] According to the predicted light intensity and the predicted color temperature, and the target brightness parameter and the target color temperature parameter, a trend brightness deviation and a trend color temperature deviation are obtained;

[0034] According to the actual brightness deviation and the trend brightness deviation, a comprehensive brightness deviation is obtained through weighted operation;

[0035] According to the actual color temperature deviation and the trend color temperature deviation, a comprehensive color temperature deviation is obtained through weighted operation;

[0036] According to the comprehensive brightness deviation and the comprehensive color temperature deviation, a brightness end point value and a color temperature end point value are respectively determined;

[0037] According to the luminance end point value and the color temperature end point value and the preset slope value, the lighting control curve of the luminance and the color temperature is adjusted by the smooth interpolation algorithm.

[0038] Preferably, the updating the lighting control strategy according to the weighted intensity index comprises:

[0039] According to the weighted intensity index and the luminance parameter of each time cluster, a luminance correction index of each time cluster is obtained, wherein the luminance correction index and the weighted intensity index are positively correlated;

[0040] According to the luminance correction index and the color temperature parameter and the color parameter of each time cluster, a color temperature correction index and a color correction index of each time cluster are obtained;

[0041] The lighting control strategy is updated according to the luminance correction index, the color temperature correction index and the color correction index.

[0042] Preferably, the controlling the LED lamp strip to illuminate according to the adjusted lighting control curve comprises:

[0043] According to the current time and the adjusted lighting control curve, lighting parameters of the current time period and the next time period are obtained, which are respectively denoted as current lighting parameters and to-be-switched lighting parameters, wherein the lighting parameters comprise luminance parameters and color temperature parameters;

[0044] According to the current lighting parameters, the LED lamp strip is controlled to illuminate;

[0045] According to the current lighting parameters and the to-be-switched lighting parameters, a parameter difference value is obtained, wherein the parameter difference value comprises a color temperature difference value and a luminance difference value;

[0046] According to the current time and the next time period, a remaining time length of the current time period is determined;

[0047] According to the parameter difference value, preset luminance adjustment rate range and color temperature adjustment rate range, a luminance adjustment time interval and a color temperature adjustment time interval are obtained;

[0048] The longer one of the luminance adjustment time interval and the color temperature adjustment time interval is taken as a target adjustment time interval;

[0049] The target adjustment time interval and the remaining time length are compared to obtain an adjustment strategy and an adjustment start time, wherein when the remaining time length is greater than or equal to the target adjustment time interval, the adjustment strategy is a staged adjustment strategy, otherwise the adjustment strategy is a linear adjustment strategy;

[0050] If the adjustment strategy is a phased adjustment strategy, a phase adjustment duration of each adjustment phase is obtained according to the target adjustment time interval and a preset segmentation ratio;

[0051] According to the adjustment duration and the parameter difference, a color temperature adjustment rate and a brightness adjustment rate of each adjustment phase are obtained;

[0052] If the adjustment strategy is a linear adjustment strategy, a color temperature adjustment rate and a brightness adjustment rate are obtained according to the remaining duration, and upper limit values of the brightness adjustment rate range and the color temperature adjustment rate range;

[0053] At the adjustment start time, the LED lamp strip is controlled to switch from the current lighting parameter to the to-be-switched lighting parameter according to the color temperature adjustment rate and the brightness adjustment rate.

[0054] Preferably, when the physical space includes multiple LED lamp strips, the control of the LED lamp strip to switch from the current lighting parameter to the to-be-switched lighting parameter at the adjustment start time according to the color temperature adjustment rate and the brightness adjustment rate includes:

[0055] An LED lamp strip physical parameter of each LED lamp strip in the physical space is obtained, wherein the LED lamp strip physical parameter includes a number of lamp beads, a lamp bead spacing, and a lamp strip length;

[0056] According to the number of lamp beads and the lamp bead spacing, a lamp bead density per unit length is obtained;

[0057] According to the lamp bead density and the lamp strip length, a light-emitting coverage value of each LED lamp strip is obtained, wherein the light-emitting coverage value is positively correlated with the lamp bead density and the lamp strip length;

[0058] The LED lamp strip corresponding to the maximum light-emitting coverage value is taken as a primary lamp strip, and the remaining LED lamp strips are taken as secondary lamp strips;

[0059] A physical parameter difference of each secondary lamp strip and the primary lamp strip is obtained, wherein the physical parameter difference includes a density difference and a lamp strip length difference;

[0060] According to the physical parameter difference, a color temperature adjustment rate and a brightness adjustment rate of each secondary lamp strip are adjusted, wherein the color temperature adjustment rate is negatively correlated with the density difference and positively correlated with the lamp strip length difference, and the brightness adjustment rate is positively correlated with the density difference and negatively correlated with the lamp strip length difference;

[0061] At the start time of the adjusting, according to the color temperature adjusting rate and the brightness adjusting rate, the main lamp strip is controlled to switch from the current lighting parameter to the to-be-switched lighting parameter, and according to the adjusted color temperature adjusting rate and brightness adjusting rate, the secondary lamp strip is controlled to switch from the current lighting parameter to the to-be-switched lighting parameter.

[0062] In a second aspect, an embodiment of the present application provides a scene-based adaptive control device for LED lamp strips, which comprises:

[0063] a scene information acquisition module, configured to acquire scene information of a physical space in which the LED lamp strips are located, wherein the scene information comprises a scene type, a space area, and a number of lamp strips in the physical space;

[0064] an initial lighting strategy acquisition module, configured to acquire, according to the scene information, a lighting control strategy of the LED lamp strips in different time periods within a first preset period, wherein the lighting control strategy comprises a brightness parameter, a color temperature parameter, and a color parameter;

[0065] a first lighting control module, configured to, within the first preset period, control the LED lamp strips to perform lighting according to the lighting control strategy of a current time period and an environmental parameter in response to a user switch instruction;

[0066] a lighting strategy updating module, configured to update the lighting control strategy according to historical lighting data of the LED lamp strips within the first preset period;

[0067] a second lighting control module, configured to, after the first preset period, control the LED lamp strips to perform lighting according to an adjusted lighting control strategy of a current time period and an environmental parameter in response to a user switch instruction.

[0068] In a third aspect, an embodiment of the present application provides a light emitting device, which comprises: an LED lamp strip, at least one processor, at least one memory, and computer program instructions stored in the memory, when the computer program instructions are executed by the processor, the method of the first aspect in the above-mentioned embodiment is implemented to control the LED lamp strip to emit light.

[0069] In summary, the beneficial effects of the present application are as follows:

[0070] The scene-based LED lamp strip adaptive control method, device, equipment and storage medium provided by the embodiment of the present application can generate a more targeted initial lighting strategy by acquiring scene information of a physical space where the LED lamp strip is located, including a scene type, a space area and a number of lamp strips, and generating a more targeted initial lighting strategy according to the space attribute and structure constraint of the lighting task. The scene information of the physical space where the LED lamp strip is located is acquired, including the scene type, the space area and the number of lamp strips, so that a more targeted initial lighting strategy can be generated. In the first preset period, the time period lighting control strategy and the environmental parameter are combined to respond to the user switch instruction in real time, so that the system has the environmental perception and instant compensation capability. The lighting process of the LED lamp strip not only follows the strategy value, but also dynamically adjusts the output effect in combination with the environmental light change, realizes the fine collaborative control under the intervention of natural light, and thus improves the visual comfort and energy saving of the lighting. In the first preset period, the user opening behavior and the environmental parameter are continuously recorded, and the strategy is updated based on the historical data after the period ends, so that the data-driven self-learning optimization of the lighting system is realized, the system can identify the high-frequency use time period, the dynamic lighting demand and the strategy deviation, and thus more preferred dimming parameters in the real use are generated in the subsequent period. Finally, the response control is continued to be executed in the new period in combination with the strategy update result, so that the continuous adaptive capability is achieved, the strategy can be automatically adjusted along with the evolution of the space environment, user preference and behavior habit, the problems of light efficiency mismatch and frequent user manual intervention in long-term use are avoided, and the long-term running stability, low maintenance and personalized experience of the LED lamp strip system are enhanced. BRIEF DESCRIPTION OF DRAWINGS DETAILED DESCRIPTION OF THE INVENTION BRIEF DESCRIPTION OF DRAWINGS

[0071] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly introduced. For those skilled in the art, other drawings can also be obtained without creative labor on the premise that these drawings are within the protection scope of the present application.

[0072] Figure 1 is a flowchart of the scene-based LED lamp strip adaptive control method of the embodiment of the present application.

[0073] Figure 2 is another flowchart of the scene-based LED lamp strip adaptive control method of the embodiment of the present application.

[0074] Figure 3 is a structural diagram of the scene-based LED lamp strip adaptive control device of the embodiment of the present application.

[0075] Figure 4 is a structural diagram of the electronic equipment of the embodiment of the present application. DETAILED DESCRIPTION

[0076] The features and exemplary embodiments of the various aspects of the present application will be described in detail below with reference to the drawings. The present application is not limited to the embodiments described below, but can be implemented in various forms. The purpose, technical solutions and advantages of the present application will be more clearly understood from the following detailed description of the embodiments taken in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely configured to explain the present application and are not configured to limit the present application. The present application can be implemented without some of the specific details by those skilled in the art. The following description of the embodiments is merely provided to better understand the present application by showing examples of the present application.

[0077] It should be noted that, in this document, relational terms such as first and second, and the like, are used solely to distinguish one entity or action from another entity or action, without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the identified element.

[0078] It should be noted that all actions of acquiring signals, information or data in the present application are carried out in compliance with the corresponding data protection regulations and policies of the place, and with the authorization given by the owner of the corresponding device.

[0079] Embodiment 1

[0080] Please refer to Figures 1-2 The embodiment of the present application provides a scene-based adaptive control method of LED lamp strip, and the method comprises the following steps:

[0081] S1, acquiring scene information of a physical space where the LED lamp strip is located, wherein the scene information comprises a scene type, a space area and a number of lamp strips in the physical space;

[0082] Specifically, the scene information refers to a set of data that can be used to describe the physical and functional attributes of the current lighting space, usually including: scene type refers to the main use function of the space, such as living room, office, corridor, display area, etc.; space area refers to the actual area of the physical space, usually measured in square meters; and the number of light strips refers to the total number of LED light strips that can be identified and installed in the space. The purpose of this step is to provide necessary spatial context information for subsequent strategy making. Because the target output intensity, color temperature style and color usage habit of lighting will change due to scene differences, while the space area affects the luminous flux budget, and the number of light strips affects the control granularity and lighting uniformity. Therefore, by identifying these basic information, it is possible to provide structural input for subsequent generation of matching initial lighting strategies. Scene information can be actively input through a user configuration interface, or obtained by automatic scanning of devices (such as automatically identifying the number of light strips) or imported in combination with space planning drawings during the system deployment phase.

[0083] S2、According to the scene information, the lighting control strategy of the LED light strip in different time periods within the first preset period is obtained, wherein the lighting control strategy includes brightness parameter, color temperature parameter and color parameter;

[0084] Based on the scene information obtained in step S1, the lighting control strategy of the LED light strip in different time periods within the first preset period is obtained. The strategy includes three core parameters: brightness parameter (such as percentage or luminous flux level), color temperature parameter, and color parameter (such as RGB ratio or hue / saturation value under HSL model), to provide a periodic basic lighting scheme, so that it can generate a usable and targeted light effect output when lacking user historical preferences. The process of making lighting strategy is based on matching corresponding lighting template library according to scene type, for example, high brightness and cold white tone for office scene, and soft light and warm color for residence; and scaling calculation of brightness parameter is combined with space area and number of light strips. The preset period (such as 24 hours) is divided into multiple time periods, such as "morning", "noon", "evening", "night", etc., and a set of three-parameter lighting values is assigned to each time period, forming a complete lighting control table.

[0085] S3、In the first preset period, in response to a user switch instruction, the LED light strip is controlled to perform lighting according to the lighting control strategy of the current time period and the environmental parameters;

[0086] Specifically, in the first preset period, the LED light strip is controlled to illuminate according to the lighting control strategy and the environmental parameters of the current time period in real time in response to the user switch instruction. The switch instruction can be issued through a wall panel, an App interface or a voice assistant, etc. After receiving the instruction, the time period to which the current time point belongs is obtained, and the luminance, color temperature and color parameters corresponding to the time period are extracted from the lighting control strategy. At the same time, the real-time environmental parameters, including the current environmental illumination and color temperature information, are obtained to moderately correct the extracted control parameters. For example, if the environmental illumination is already high, the luminance target can be relatively lowered to avoid illumination redundancy; if the environmental light color temperature is cold and the target color temperature is warm white, the output color temperature can be fine-tuned to achieve a more natural fusion. The processed control parameters are converted into PWM duty ratio, current set value or address control instruction, and are sent to the LED driving circuit, so that the light strip realizes the lighting process in a smooth and gradual manner. The static strategy is combined with the real-time state to realize a natural, energy-saving and intelligent light environment response.

[0087] S4, updating the lighting control strategy according to the historical lighting data of the LED light strip in the first preset period;

[0088] Specifically, all lighting behaviors in the first preset period are recorded, and the lighting control strategy is updated according to the historical lighting data accumulated at the end of the period. The historical lighting data includes but is not limited to the lighting duration corresponding to each user opening behavior, the environmental illumination and color temperature collected during the lighting process, and the three-parameter output value executed. In the absence of active adjustment behavior, the effectiveness of each time period strategy can be evaluated by counting the usage frequency and duration. For example, if the usage frequency of a certain time period is significantly high and the environmental illumination is low, it indicates that the current strategy luminance is slightly low and should be adjusted upward. Conversely, if the lighting opening rate of a certain time period is low and the illumination environment is good, it can be judged that the current luminance parameter is over output, and the down adjustment operation is performed. Based on the above processing, the luminance, color temperature and color parameters of each time period are adjusted by a small amplitude respectively, and the lighting control strategy of the next period is generated, which is more suitable for the actual use behavior.

[0089] S5, after the first preset period, the LED light strip is controlled to illuminate according to the adjusted lighting control strategy and the environmental parameters of the current time period in response to the user switch instruction.

[0090] In step S5, after entering a new lighting cycle, when the user issues a switching instruction again, the original strategy table will no longer be called, but the LED light band will be controlled to realize intelligent lighting based on the updated lighting control strategy and in combination with the current time period and environmental parameters. In line with step S3, the control process still includes time period identification, strategy reading, environment perception and drive output, but the three-parameter control values used are dynamically updated versions. Through this closed-loop updating mechanism, the lighting strategy can be continuously optimized in consecutive cycles, personalized dimming effects can be achieved without relying on user active configuration, and the matching degree of lighting behavior and natural light rhythm and user preference is effectively improved, which embodies high adaptability and energy saving.

[0091] Preferably, referring to Figure 2 , the method comprises:

[0092] S21, acquiring target lighting parameters of the physical space according to the scene type, wherein the target lighting parameters comprise an illuminance target interval, a color temperature target interval and a color target interval of the scene type in a preset time period;

[0093] Specifically, the target lighting parameters of the physical space are acquired according to the scene type. Here, the target lighting parameters refer to a target optical parameter set retrieved from a preset strategy library according to the lighting requirements of different functional scenes, which usually includes an illuminance target interval (for example, 300-500 lx), a color temperature target interval (for example, 2700-4000 K) and a color target interval (for example, low saturation warm color or neutral RGB ratio). By specifying the functional use of the space, such as a family bedroom, a conference room, a display shelf, etc., a scene-light effect mapping table can be called to quickly determine the range of illumination intensity, color tone bias and color activity that should be achieved in each time period in a preset time period.

[0094] S22, acquiring total target illuminance of the physical space in different time periods according to the space area and the illuminance target interval;

[0095] The total target illuminance of the physical space in different time periods is acquired according to the space area and the illuminance target interval. Since illuminance is the light flux received per unit area, the total light flux demand is directly related to the space area. The purpose of this step is to expand the unit illuminance demand to the lighting intensity required by the whole space as a reference baseline for subsequent allocation to each light band. For example, when the target illuminance of a certain time period is 400 lx and the space area is 30 square meters, the total target illuminance can be understood as the corresponding light flux output demand of 12000 lm (not representing the actual value, only used for logical description). This total target will serve as the upper limit constraint basis for the subsequent "light band brightness control curve".

[0096] S23, obtaining a light strip lighting contribution ratio according to the space area, the number of light strips, and a scene type, wherein the light strip lighting contribution ratio is positively correlated with the number of light strips and negatively correlated with the space area;

[0097] Specifically, the light strip lighting contribution ratio is obtained according to the space area, the number of light strips, and the scene type. The light strip lighting contribution ratio is used to measure the proportion of the luminous output that should be borne by the LED light strip in the overall lighting. The value is affected by the space size (the larger the space, the lower the contribution ratio of a single light strip) and the number of light strips (the more the number, the smaller the contribution ratio of a single light strip). In addition, the role of the light strip is different in different scene types. For example, in the showcase or decorative contour lighting, the light strip may bear a higher lighting weight, while in the bright office place, it is mostly auxiliary light. In combination with the above factors, the light output ratio that each LED light strip needs to bear is calculated through a set of proportion, providing a quantitative basis for subsequent brightness curve generation.

[0098] S24, obtaining a brightness control curve of each LED light strip according to the total target illuminance, the light strip lighting contribution ratio, and the number of light strips;

[0099] Specifically, the brightness control curve of each LED light strip is obtained according to the total target illuminance, the light strip lighting contribution ratio, and the number of light strips. Specifically, the total target illuminance of each time period is split to each light strip according to the contribution ratio of the light strip, and then a continuous and smooth brightness control curve is generated according to the time period sequence and the selected curve interpolation method (such as linear, cubic spline or exponential rising curve). The curve not only contains the brightness target point, but also ensures that the transition slope in the control process is within the user's perception threshold, so as to avoid discomfort caused by sudden brightness changes.

[0100] S25, obtaining a color temperature control curve and a color control curve of each LED light strip according to the curve variation characteristics of the brightness control curve, the color temperature target interval, and the color target interval;

[0101] The color temperature control curve and the color control curve of each LED light strip are obtained according to the curve variation characteristics of the brightness control curve, the color temperature target interval, and the color target interval. Considering the physiological perception coupling relationship between brightness and color temperature and color parameters (such as high brightness should be matched with high color temperature, and low brightness scene is more suitable for warm color), a linkage interpolation method is adopted to derive the synchronous control trajectory of color temperature and color from the brightness variation trend. For example, in the brightness rising segment, the color temperature can be appropriately cold and the saturation slightly reduced; in the brightness reducing segment, the color temperature gradually turns warm and the color light saturation rises, so as to present a consistent visual experience as a whole.

[0102] S26, smoothing the luminance control curve, the color temperature control curve and the color control curve to obtain the lighting control strategy of the LED lamp strip in different time periods.

[0103] Finally, the luminance control curve, the color temperature control curve and the color control curve are smoothed to finally obtain the lighting control strategy of the LED lamp strip in different time periods. The smoothing mainly adopts a low-pass filtering or weighted interpolation manner to ensure that the light output changes continuously and naturally when crossing time periods or scene transitions, and there is no stepwise jump or sudden brightening or dimming phenomenon. The finally generated lighting control strategy will be used as the basic output reference of each time period in the first preset period, and supports subsequent real-time adjustment and strategy iteration.

[0104] Preferably, in the first preset period, in response to a user switch instruction, the LED lamp strip is controlled to emit light according to the lighting control strategy of the current time period and the environmental parameters, comprising:

[0105] S31, in response to a user switch instruction, obtaining the instruction issuing time and environmental parameters;

[0106] Specifically, in response to a user switch instruction, the instruction issuing time and environmental parameters are obtained. The switch instruction can be derived from a wall controller, a mobile terminal, voice control and the like; the environmental parameters at least include the ambient illuminance and the ambient color temperature at the current time, to reflect the existing light environment basis in the physical space when the user issues the instruction. The purpose of obtaining these information is to establish a real-time mapping of time points and environmental states, so as to match the appropriate strategy and execute light perception compensation.

[0107] S32, according to the lighting control strategy corresponding to the instruction issuing time, obtaining target lighting parameters, the target lighting parameters including target luminance parameters, target color temperature parameters and target color parameters;

[0108] Specifically, according to the instruction issuing time, the time period to which it belongs is matched, and the target lighting parameters including target luminance parameters, target color temperature parameters and target color parameters are extracted from the lighting control strategy corresponding to the time period in the first preset period. These target parameters are the expected output values set for the time period in the initial strategy stage, which are usually determined by the scene and represent the ideal output baseline without considering user preferences and real-time light environment interference.

[0109] S33, setting the target luminance parameters and the target color temperature parameters as end points to establish a multi-channel target end point set;

[0110] Specifically, the target luminance parameter and target color temperature parameter are taken as end point values, and a multi-channel control target end point set is established in combination with a target color parameter. The end point set is used to define the target output state of each control channel (such as a luminance channel, a color temperature adjustment channel, and an RGB channel) in the LED driving system. The purpose of constructing the end point set is to provide a convergence target for the subsequent gradual change process and ensure that the lighting process is targeted.

[0111] S34, according to the multi-channel target end point set and the preset slope value, an initial control curve of luminance and color temperature is respectively obtained through a smooth interpolation algorithm;

[0112] Specifically, according to the target end point set and a preset slope threshold, a luminance control curve and a color temperature control curve are respectively generated by using a smooth interpolation algorithm. The interpolation method used here can be cubic spline, exponential curve, or cosine interpolation, and the key is that the derivative of the output curve is continuous and the growth rate is controlled, so as to ensure that the visual change in the lighting process is smooth and has no abrupt feeling. The slope limit is used to prevent visual discomfort or glare caused by sudden brightness in the scene where the initial illumination is low and the target luminance is high.

[0113] S35, according to the initial illumination control curve and the target color parameter, the LED lamp strip is gradually lit;

[0114] The luminance and color temperature control curves generated above are taken as the basic control path, and the PWM duty cycle or channel ratio of each time slice is uniformly calculated in combination with the target color parameter, so that the LED lamp strip is smoothly lit in a gradual change manner. At this time, the color parameter can remain constant, or it can be scaled in proportion to the luminance curve, so as to ensure that color deviation or saturation drift does not occur at low luminance, thereby presenting consistent and natural color experience in the entire lighting process.

[0115] S36, in the gradual lighting process, the end points of the illumination control curves of luminance and color temperature are adjusted according to the environmental parameters;

[0116] Before the lighting process is completed, the system continuously collects the environmental illuminance and color temperature, and dynamically adjusts the end points of the current luminance and color temperature control curves according to the real-time change trend. For example, when the initial setting is high luminance output, if it is detected that the environmental illuminance rapidly rises (such as sunlight entering the room), the system can appropriately lower the target luminance end point; on the contrary, if the natural light decreases, the target luminance point can also be smoothly moved upward on the current lighting path. The color temperature adjustment can also be linked with the luminance to correct, so that the output state is always naturally integrated with the actual light field.

[0117] S37, according to the adjusted illumination control curve, the LED lamp strip is controlled to perform illumination.

[0118] Based on the adjusted control curve, the LED light strip is continuously driven to complete the lighting process. At this time, the control instruction already contains the dynamically corrected brightness and color temperature information, ensuring that the output result not only follows the original strategy structure, but also integrates the real-time environmental perception result. The LED light strip can complete environmental perception, target calculation and smooth transition in a continuous natural gradual lighting process, achieving a truly "turn on the light to the best light environment", and the user has no perception throughout the process.

[0119] Preferably, the end point of the lighting control curve in the gradual lighting process, which adjusts the brightness and color temperature according to the environmental parameter, comprises:

[0120] S361, collecting environmental parameters according to a preset sampling period, wherein the environmental parameters include an environmental light intensity sequence and an environmental light color temperature sequence;

[0121] Specifically, environmental parameters are collected according to a preset sampling period, wherein the environmental parameters include an environmental light intensity sequence and an environmental light color temperature sequence. Here, the sampling period refers to the time interval (such as every 50 milliseconds or every frame) in the lighting process. Continuous sampling can form a time sequence of light intensity values and color temperature values, reflecting the dynamic trend of the current space environmental light change.

[0122] S362, smoothing the environmental parameters to obtain a smoothed light intensity and a smoothed color temperature;

[0123] Specifically, the collected environmental light intensity sequence and color temperature sequence are smoothed to obtain the smoothed light intensity and smoothed color temperature values at the current time. The purpose of this step is to suppress the influence of occasional noise or short-term interference on subsequent judgment. The smoothing process can use methods such as moving average, exponential weighted moving average, or Kalman filter to ensure that the subsequent judgment is based on stable and continuous perception information.

[0124] S363, obtaining a predicted light intensity and a predicted color temperature according to the change trend of the smoothed light intensity and the smoothed color temperature;

[0125] Specifically, based on the change trend of the smoothed light intensity and the smoothed color temperature, a predicted light intensity and a predicted color temperature are obtained, which are used to evaluate the change direction and amplitude of the environmental light in the next short time window. This prediction can be generated based on linear extrapolation, differential trend, or short-period fitting. For example, if the smoothed light intensity is continuously increasing, the system can predict that the environmental light in the next period will further increase, so as to reduce the LED output in advance to prevent over-brightness.

[0126] S364, obtaining an actual brightness deviation and an actual color temperature deviation according to the smoothed light intensity and the smoothed color temperature, and target brightness parameters and target color temperature parameters;

[0127] The actual brightness deviation is obtained by comparing the current smooth illuminance with the target brightness parameter, and the actual color temperature deviation is obtained by comparing the smooth color temperature with the target color temperature parameter. The "target brightness parameter" and "target color temperature parameter" are static values set by the lighting control strategy in the current time period, which are used to evaluate whether the current environment has deviated from the preset light field.

[0128] S365, according to the predicted illuminance and predicted color temperature, and target brightness parameter and target color temperature parameter, trend brightness deviation and trend color temperature deviation are obtained;

[0129] Similar to the previous step, the trend brightness deviation is obtained by comparing the predicted illuminance with the target brightness parameter, and the trend color temperature deviation is obtained by comparing the predicted color temperature with the target color temperature parameter. Unlike the "instantaneous comparison" in S364, this step emphasizes the predictive error, which is used to determine whether the system will deviate more from the target at the subsequent time if the current trend continues.

[0130] S366, according to the actual brightness deviation and trend brightness deviation, weighted operation is performed to obtain a comprehensive brightness deviation;

[0131] The actual brightness deviation and the trend brightness deviation are weighted to generate a comprehensive brightness deviation value. The weighting coefficient can be set as a fixed weight (such as instantaneous error 0.6, trend error 0.4), or it can be dynamically adjusted according to the environmental stability, so that the system pays more attention to the instantaneous accuracy in the stable light field, and pays more attention to the trend prediction in the dynamic light field.

[0132] S367, according to the actual color temperature deviation and trend color temperature deviation, weighted operation is performed to obtain a comprehensive color temperature deviation;

[0133] Similarly, the system performs weighted fusion on the actual color temperature deviation and the trend color temperature deviation to obtain a comprehensive color temperature deviation. Through comprehensive error processing, the system can build a dynamic adaptation benchmark that takes into account both the current state and the future trend, improving the forward-looking and stability of the control response.

[0134] S368, according to the comprehensive brightness deviation and the comprehensive color temperature deviation, respectively determining a brightness end point value and a color temperature end point value;

[0135] According to the comprehensive brightness deviation and the comprehensive color temperature deviation, the original target brightness and target color temperature are corrected to determine new brightness end point value and color temperature end point value. The correction amount can be limited in a range to prevent the system from producing a large degree of dimming behavior due to occasional errors, while the adjustment of the end point value still maintains the consistency direction with the original strategy of the user.

[0136] S369, according to the brightness end point value and the color temperature end point value and the preset slope value, adjusting the lighting control curve of the brightness and color temperature through the smooth interpolation algorithm.

[0137] Specifically, based on the updated brightness end point value and color temperature end point value, in combination with the preset maximum slope threshold, the brightness control curve and the color temperature control curve are regenerated by a smooth interpolation algorithm, so that the lighting process naturally transitions to the new end point within the remaining time. This process does not change the overall trend of the current control curve, but only re-interpolates the end point position and the end curve form, ensuring that the output light effect is continuous and smooth without visual jumps.

[0138] Through the above nine steps, the system can continuously perceive the environment and dynamically correct the end point output parameters during the LED light strip lighting process, achieving the whole process control from static strategy, real-time adaptation, and dynamic re-planning, effectively improving the softness, environmental fit, and response intelligence of the lighting experience, especially suitable for complex space environments with frequent day-night transitions or natural light mutations.

[0139] Preferably, updating the lighting control strategy according to the historical lighting data of the LED light strip in the first preset period comprises

[0140] S41, obtaining a historical lighting data set of the LED light strip in a first preset period, wherein the historical lighting data set includes historical lighting data corresponding to each user opening instruction, and the historical lighting data includes the lighting duration and the historical ambient light intensity and historical ambient light color temperature corresponding to the lighting process;

[0141] The system obtains a historical lighting data set of the LED light strip in a first preset period. The "historical lighting data set" refers to the use information recorded by the system for each user opening instruction in the entire first period. This information includes the actual lighting duration (such as 5 minutes, 2 hours, etc.) after the user turns on the LED light strip, as well as the historical ambient light intensity and historical ambient light color temperature collected during the lighting process, which reflects the natural light state of the space at that time. The purpose of this step is to obtain data reflecting lighting needs and environmental conditions from real user behavior, providing objective input for subsequent strategy optimization.

[0142] S42, clustering the historical lighting data set according to the historical ambient light intensity and historical ambient light color temperature to obtain a time period cluster set;

[0143] The system clusters the historical lighting dataset into time period clusters according to historical ambient light illuminance and historical ambient light color temperature. Unlike the traditional time division method with "hour / half hour" as the unit, this method uses ambient light features for clustering, grouping lighting behaviors that occur under similar light environment conditions into the same "time period cluster". For example, in the morning or evening on multiple different dates, if the user turns on the light when the ambient light illuminance and color temperature are close, such records can be clustered into the same cluster. Through this clustering method, the system can construct a time period structure with "light environment as the dimension", which can better reflect the lighting usage scenarios.

[0144] S43, obtaining an intensity index of each time period cluster according to the cumulative lighting duration of each time period cluster;

[0145] The total duration of the historical lighting records contained in each time period cluster is counted to obtain the intensity index of each time period cluster. The "intensity index" refers to the sum of the frequency and duration of the use of the time period cluster in the entire period, which reflects the degree of dependence of the user on lighting in that light environment. High intensity indicates that the time period cluster has important lighting significance, and low intensity may indicate that the necessity of lighting in that environment is low.

[0146] S44, obtaining a forgetting coefficient of each historical lighting data according to the instruction issuance time of each user opening instruction;

[0147] The forgetting coefficient of each historical data is calculated further according to the time of each user opening instruction. The forgetting coefficient is used to measure the timeliness of the historical data, and is usually designed to be inversely proportional to the time interval between the instruction time and the end of the period. That is, the closer the period is to the current data, the higher the weight, and the more distant the data, the smaller the influence. This mechanism can make the strategy update process reflect recent lighting habits more, without being disturbed by occasional early behaviors.

[0148] S45, obtaining a weighted intensity index by weighting according to the forgetting coefficient and the intensity index;

[0149] Specifically, the intensity index obtained in step S43 is weighted with the forgetting coefficient obtained in step S44 to obtain a weighted intensity index. Specifically, the system first multiplies the lighting duration of each historical data with its corresponding forgetting coefficient, and then sums or averages the values according to the time period cluster to form the final weighted intensity index.

[0150] S46, updating the lighting control strategy according to the weighted intensity index.

[0151] Specifically, finally, the original lighting control strategy is updated according to the weighted intensity index. The updating mode can be based on offset function, incremental correction or weight redistribution method. For example, if the weighted intensity of a time cluster is significantly higher than the overall average, it indicates that the user uses lighting frequently in this environment, and the system can increase the brightness parameter of this time period, extend the lighting duration, or fine-tune the color temperature to improve comfort; on the contrary, the intensity of the time period is low, and the brightness parameter can be adjusted downward to save energy. After updating, the strategy will replace the original static control parameter and be used for intelligent lighting scheduling at the start of the second period.

[0152] Through the sequential execution of the above S41-S46 steps, the system realizes a strategy self-learning and updating mechanism with "historical lighting behavior + environment perception, usage intensity, and data timeliness" as the core, which has the technical advantages of no manual intervention, strong self-optimization capability, and energy saving and comfort. This mechanism is especially suitable for residential and commercial environments with diverse user behaviors and significant changes in natural light, and can continuously improve the intelligent level of the lighting system and user satisfaction.

[0153] Preferably, the updating of the lighting control strategy according to the weighted intensity index comprises:

[0154] S451, obtaining a brightness correction index of each time cluster according to the weighted intensity index and the brightness parameter of each time cluster, wherein the brightness correction index and the weighted intensity index are positively correlated;

[0155] Specifically, the brightness correction index of each time cluster is obtained according to the weighted intensity index and the brightness parameter of each time cluster. Here, the "weighted intensity index" represents the "lighting necessity" of the time cluster in the first preset period, considering the usage frequency, lighting duration, and data timeliness; the "brightness parameter" is the preset brightness output value of the time period in the current lighting strategy. The system generates the brightness correction index through a mapping function (such as linear gain, normalized proportional amplification, etc.) according to the relative size of the weighted intensity and the absolute value of the brightness parameter. The correction index is positively correlated with the weighted intensity, which means that the higher the usage intensity, the more the system tends to increase the brightness output, thereby improving the lighting comfort and response sensitivity of the user in the high demand period.

[0156] S452, obtaining a color temperature correction index and a color correction index of each time cluster according to the brightness correction index and the color temperature parameter and the color parameter of each time cluster;

[0157] The system further obtains a color temperature correction index and a color correction index according to the brightness correction index, a color temperature parameter and a color parameter corresponding to the time cluster. Here, the system corrects and derives by analyzing the linkage relationship between the brightness change trend and the color temperature and the color: when the brightness correction index is positive (indicating that the brightness is enhanced), the color temperature correction index can be slightly adjusted to the cold side to adapt to the visual adaptability under higher illuminance; at the same time, the color saturation can be moderately reduced to prevent color oversaturation or color deviation under high brightness conditions; on the contrary, when the brightness correction index is negative, the color temperature correction index can be slightly adjusted to the warm side, and the color parameter can be moderately increased in saturation or hue change to maintain the visual temperature feeling and color performance under low light environment. The correction relationship can be flexibly defined based on an experience mapping table, a control rule or an interpolation function to form a perception coordination mechanism among the "brightness-color temperature-color" three parameters.

[0158] S453, updating the lighting control strategy according to the brightness correction index, the color temperature correction index and the color correction index.

[0159] The system applies the brightness correction index, the color temperature correction index and the color correction index obtained above to the current lighting control strategy respectively to perform a parameter updating operation. The updating can be realized in the form of superposition, multiplication or direct replacement. For example, for the brightness parameter, the formula L' = L + ΔL can be used, where ΔL is calculated from the brightness correction index; for the color temperature and color parameters, slight adjustments are made according to the respective correction indexes to ensure that the strategy updating has controllable gradualness. Finally, the updated lighting control strategy will cover the original strategy and be used for the execution of the next period lighting task to provide the user with a light environment output that is more consistent with his / her use behavior and environmental rhythm.

[0160] Preferably, the historical lighting data further includes user adjustment instructions and corresponding adjustment times, the user adjustment instructions including parameter adjustment values, the parameter adjustment values including at least one of a brightness adjustment value, a color temperature adjustment value and a color adjustment value, and the updating of the lighting control strategy according to the weighted intensity index further includes:

[0161] S454, establishing a mapping relationship between the user adjustment instructions and the corresponding time clusters according to the adjustment times of each user adjustment instruction;

[0162] Specifically, in the embodiment, the historical lighting data further includes user adjustment instructions and corresponding adjustment times, the user adjustment instructions include parameter adjustment values, and the parameter adjustment values include at least one of a brightness adjustment value, a color temperature adjustment value and a color adjustment value; and the system establishes a mapping relationship between the user adjustment instructions and corresponding time clusters according to the adjustment times of each user adjustment instruction. Since each user adjustment behavior has a specific occurrence time, the system can attribute the adjustment behavior to a specific time cluster by matching with the time point corresponding to the historical ambient light intensity and color temperature and with the time cluster set that has been clustered. In this way, each adjustment instruction is directly associated with a strategy item in a certain light environment, thereby forming a mapping between user behavior and strategy.

[0163] S455, according to the mapping relationship, obtaining a deviation value between the parameter adjustment value and the lighting control strategy of the corresponding time cluster, wherein the deviation value includes a brightness difference, a color temperature difference and a color difference;

[0164] According to the mapping relationship, the system extracts the parameter adjustment value input by the user and compares it with the current lighting control strategy of the time cluster to calculate the corresponding deviation value. Specifically, when the user manually adjusts the brightness, color temperature or color parameter, the system records the difference between the adjusted value and the original strategy parameter, respectively, to form the offset in three dimensions of "brightness difference", "color temperature difference" and "color difference". These deviation values truly reflect the dissatisfaction or correction needs of the user with the original strategy output and are an important basis for extracting personalized preferences.

[0165] S456, according to the deviation value, obtaining a user adjustment preference vector of each time cluster;

[0166] Specifically, according to the deviation value set of all user adjustment instructions attributed to each time cluster, statistical normalization processing is performed to obtain the user adjustment preference vector of the time cluster. The vector is a three-dimensional data structure, which respectively represents the brightness, color temperature and color direction (positive or negative) to which the user is more inclined in the light environment, and the relative intensity of the preference correction. Weighted average, maximum consistency direction analysis and other methods can be used to generate, to ensure that the representative user preference trend is reflected.

[0167] S457, according to the user adjustment preference vector, adjusting the brightness correction index, the color temperature correction index and the color correction index;

[0168] Specifically, the brightness correction index, the color temperature correction index and the color correction index calculated according to the weighted intensity in steps S451-S453 are fused and adjusted with the user adjustment preference vector. The fusion process can adopt a linear weighting manner, in which the user preference vector can be given a higher weight to reflect the priority of the active adjustment behavior in the strategy optimization. The final output correction index will be fused into the user personalized bias on the basis of the original weighted intensity driving to form a composite correction result that takes into account both the behavior data and the user intention.

[0169] S458, updating the lighting control strategy according to the adjusted brightness correction index, the color temperature correction index and the color correction index.

[0170] Specifically, the lighting control strategy is finally updated according to the fused brightness correction index, the color temperature correction index and the color correction index. The updating mode can be realized in the form of incremental adjustment, sliding superposition or replacement rewriting, and the curve smoothing algorithm can be combined to ensure the continuity and visual comfort of the dimming curve. The updated strategy will directly act on the next lighting period to realize closed-loop personalized strategy evolution.

[0171] Through the above five steps S454-S458, the embodiment combines the user active adjustment behavior with the automatic statistical learning mechanism to form a lighting strategy optimization process that fuses the use habits, real-time perception and individual preferences, so that the LED light strip gradually adapts to the user, understands the scene and optimizes the response in long-term operation, effectively improving the intelligent level, user satisfaction and energy saving control effect of the lighting system.

[0172] In an embodiment, the controlling the LED light strip to illuminate according to the adjusted lighting control curve comprises:

[0173] S51, acquiring lighting parameters of a current time period and a next time period according to the current time and the adjusted lighting control curve, and denoting the lighting parameters of the current time period and the next time period as current lighting parameters and to-be-switched lighting parameters respectively, wherein the lighting parameters comprise brightness parameters and color temperature parameters;

[0174] Specifically, the adjusted lighting control curve refers to a target curve that changes with time obtained by combining the ambient light trend and historical learning on the basis of a given scene strategy; the lighting parameters comprise brightness parameters and color temperature parameters, which are used to describe the brightness and color temperature that should be output at a certain moment. The purpose of this step is to locate the current and next time periods on the time axis to form a pair of references of the current lighting parameters and the to-be-switched lighting parameters. According to the current time index curve, the target points at the end of the current period and the beginning of the next period are read; if the current time falls on the boundary, the parameters at the boundary are preferred; if the curve is a discrete point column, a smoothing interpolation can be performed to avoid quantization jump.

[0175] S52, control the LED light band to illuminate according to the current lighting parameter;

[0176] The intended output of the current period is maintained before switching, ensuring the continuity of curve execution. When implemented, the duty cycle and color temperature ratio are output according to the control period, and the single-step amplitude upper limit and anti-flicker threshold are executed; when the device has a minimum resolution step, the small changes that are less than the minimum step are accumulated and then output at once. In this way, a stable and flicker-free light environment can be maintained before switching.

[0177] S53, obtain a parameter difference value according to the current lighting parameter and the lighting parameter to be switched, wherein the parameter difference value includes a color temperature difference value and a brightness difference value;

[0178] Specifically, the parameter difference value refers to the target difference between the current lighting parameter and the lighting parameter to be switched, including the color temperature difference value and the brightness difference value. The purpose of this step is to quantify the amount of work required for switching, providing a basis for rate and time planning. When implemented, the difference values of the two types of parameters are calculated, and the difference values that are significantly beyond the device capacity or strategy boundary are limited in amplitude; if there is a color temperature target that crosses the segment boundary (such as a pre-set cold-warm threshold), the total difference value can be split into several sub-sections for subsequent more detailed transition control. This can avoid subsequent planning based on unattainable or unreasonable targets, improving the feasibility of execution.

[0179] S54, determine the remaining duration of the current time period according to the current time and the next time period;

[0180] The remaining duration of the current time period refers to the available adjustment time from the current time to the end of the period. Its purpose is to provide time constraints for strategy selection and rate solving. When implemented, the time boundary of the period is read and compared with the current time, and if the remaining duration is less than one control period, it is recorded as the minimum effective duration to ensure at least one effective output; if clock drift or configuration update is detected, it needs to be recalculated within the same control period to ensure that the subsequent decision is consistent with the real time window.

[0181] S55, obtain a brightness adjustment time interval and a color temperature adjustment time interval according to the parameter difference value, pre-set brightness adjustment rate range and color temperature adjustment rate range;

[0182] Specifically, the pre-set brightness and color temperature adjustment rate range refers to the slowest and fastest adjustment speed allowed under the constraints of device capability and visual comfort; the brightness and color temperature adjustment time interval is the interval of the fastest and slowest completion time derived from the difference value and the pre-set adjustment rate range of the two types.

[0183] Specifically, first, the shortest and longest completion time under ideal conditions is estimated according to the current brightness difference and the brightness adjustment rate range; then the same estimation is performed on the color temperature difference. In the estimation process, not only the upper and lower limits of the nominal rate are considered, but also the maximum single-step change amount within the control period, the device output resolution, the anti-flicker threshold, the power / heat management boundary, and the necessary minimum smoothing time at the start and end are converted; when the color temperature target crosses the preset cold / warm boundary or crosses the color temperature segmentation rule, the change is divided into continuous subsegments, and the time of each subsegment is estimated and accumulated.

[0184] S56, taking the longer of the brightness adjustment time interval and the color temperature adjustment time interval as a target adjustment time interval;

[0185] Specifically, the longer of the two intervals is taken as the target adjustment time interval, which aims to use the more time-consuming channel as the global rhythm reference to maintain the coordinated consistency of brightness and color temperature. When implementing, the upper and lower limits of the two intervals are compared, and the longer set is selected as the reference for subsequent decision-making; if the two intervals are significantly inconsistent, the dominant channel can also be recorded internally for use in subsequent rate coupling and phase misalignment. This can avoid the feeling of discordance caused by one channel arriving first and the other lagging behind.

[0186] S57, comparing the target adjustment time interval and the remaining time to obtain an adjustment strategy and an adjustment start time, wherein when the remaining time is greater than or equal to the target adjustment time interval, the adjustment strategy is a staged adjustment strategy, otherwise the adjustment strategy is a linear adjustment strategy;

[0187] Specifically, the adjustment strategy and the adjustment start time are determined by comparing the target adjustment time interval and the remaining time. The purpose is to use a more comfortable staged transition when there is sufficient time, and to use a linear transition to reach the target when time is tight, and the adjustment start time refers to the trigger time obtained by pushing forward the start point of the next stage by the target adjustment time interval;

[0188] When implementing, if the remaining time is greater than or equal to the lower limit, a staged adjustment strategy is obtained, and the time ratio of each stage is determined in combination with the scene preset segmentation ratio and power / glare constraints, and if the remaining time is less than the lower limit, a linear adjustment strategy is obtained, and a fixed slope is set to advance in a way that does not exceed the upper limit of the rate, and in an embodiment, a minimum smoothing of one control period can be inserted at the beginning and end to suppress spikes;

[0189] S58, if the adjustment strategy is a staged adjustment strategy, obtaining the stage adjustment time of each adjustment stage according to the target adjustment time interval and the preset segmentation ratio;

[0190] When the phased strategy is selected, the phase adjustment duration of each phase is generated according to the target adjustment time interval and the preset segmentation ratio. A more natural body sensation is obtained through the slow change of the start and end and the stable advancement of the middle segment. When implemented, the total duration is proportionally distributed, and each segment is fine-tuned to ensure safety priority when the constraint trigger (such as power or glare threshold) is triggered; the next time segment will continue to advance in the same target direction, and a splicing margin can be reserved in the slow recovery segment. This can significantly reduce the probability of visible mutation and overshoot.

[0191] S59, according to the adjustment duration and the parameter difference, obtaining the color temperature adjustment rate and the brightness adjustment rate of each adjustment phase;

[0192] After obtaining the duration of each phase, the color temperature adjustment rate and the brightness adjustment rate of each phase are generated according to the phase duration and the parameter difference. The purpose is to achieve the completion of the overall difference by segment in a stable and monotonic manner within the phase. In a specific embodiment, the start segment and the end segment use a smaller rate, and the middle segment uses a moderate or slightly higher rate; to meet the visual habit, the color temperature can be slightly delayed relative to the brightness for several control periods and executed at a smaller rate; the single-step change limit and the monotonicity constraint are executed throughout the process to avoid reverse callback in any phase. This can ensure the planned completion of the segmented transition under the premise of ensuring comfort.

[0193] S510, if the adjustment strategy is a linear adjustment strategy, according to the remaining duration and the upper limit value of the brightness adjustment rate range and the color temperature adjustment rate range, obtaining the color temperature adjustment rate and the brightness adjustment rate;

[0194] Specifically, when the linear strategy is selected, the color temperature and brightness adjustment rates of linear advancement are determined based on the remaining duration and the upper limit value of the rate range. The purpose is to approach the target as closely as possible within a limited time while not exceeding the device and comfort boundaries. When implemented, the rate close to the upper limit is preferred, but a minimum smoothing of one control period is inserted at the beginning and the end to suppress visible spikes; if the remaining duration is still insufficient to completely reach the end point, the residual error is recorded for seamless splicing in the next time segment. This ensures fast response while also considering basic visual smoothness.

[0195] S511, at the adjustment start time, according to the color temperature adjustment rate and the brightness adjustment rate, controlling the LED lamp strip to switch from the current lighting parameter to the to-be-switched lighting parameter.

[0196] At the time of the start of the adjustment, the transition control from the current lighting parameter to the lighting parameter to be switched is performed according to the rate determined in the foregoing. The purpose is to convert the planning result into a stable controllable output behavior. When implemented, new targets of brightness and color temperature are issued under each control cycle and real-time checking of single-step amplitude, power and glare constraints is performed; thus, a switching effect without visible jumps, consistent with the time plan, and running within the constraints can be obtained.

[0197] Preferably, when the physical space comprises a plurality of LED light strips, the controlling, at the time of the start of the adjustment, the LED light strips from the current lighting parameter to the lighting parameter to be switched according to the color temperature adjustment rate and the brightness adjustment rate comprises:

[0198] S5111, acquiring a light strip physical parameter of each LED light strip in the physical space, wherein the light strip physical parameter comprises a number of lamp beads, a lamp bead spacing and a light strip length;

[0199] The number of lamp beads in this step refers to the number of controllable light emitting units on the light strip; the lamp bead spacing refers to the installation distance between adjacent lamp beads; and the light strip length refers to the actual laying length of the light strip from the first end to the last end. For example, a peripheral strip-shaped light strip in a conference room can be 5 meters long, 60 lamp beads per meter, and the spacing is about 16.7 millimeters. The purpose of this step is to establish objective basic data necessary for subsequent rate adjustment and to ensure comparability between multiple light strips.

[0200] S5112, acquiring a lamp bead density per unit length according to the number of lamp beads and the lamp bead spacing;

[0201] The lamp bead density per unit length can be understood as the number of lamp beads per meter (or per fixed length), which is used to approximately reflect the uniformity and fusion of light emission. For example, 120 lamp beads per meter is significantly higher than 30 lamp beads per meter, and it is less likely to appear as a point under the same length.

[0202] The number of lamp beads per unit length can be directly calculated; if there is a local spacing unevenness in the same light strip, the segmented data in the installation document is taken to make an average or segmented record, and if necessary, different density values are used in different segments within the control period;

[0203] S5113, acquiring a light emitting coverage value of each LED light strip according to the lamp bead density and the light strip length, wherein the light emitting coverage value is positively correlated with the lamp bead density and the light strip length;

[0204] Specifically, the light-emitting coverage value is used to quantify the comprehensive influence of a single light strip on the space illumination and coverage range. The higher the density and the longer the length, the stronger the overall lighting capability and coverage uniformity, so the two are positively correlated with the value. The purpose of this step is to form a comprehensive scale for the selection and relative capability ranking of the main light strip, avoiding the deviation caused by using only a single dimension (such as only length or only density).

[0205] S5114, taking the LED light strip corresponding to the maximum light-emitting coverage value as the main light strip, and taking the remaining LED light strips as secondary light strips;

[0206] The main light strip is the reference benchmark for this transition, usually located in the visual core area or with the maximum spatial influence; the secondary light strips coordinate with the rhythm of the main light strip during the transition. The purpose is to establish a globally consistent reference to avoid the tearing of the visual perception caused by multiple light strips acting independently, and directly select the light strip with the maximum light-emitting coverage value as the main light strip; if there are multiple light strips with the same value, the one located in the spatial center, the user's visual sensitive area, or the position with a higher historical use frequency can be selected preferentially. This can ensure stable control rhythm and clear reference.

[0207] S5115, obtaining the physical parameter difference value of each secondary light strip and the main light strip, wherein the physical parameter difference includes a density difference value and a light strip length difference value;

[0208] The density difference value refers to the difference in unit length density of the secondary light strip relative to the main light strip; the length difference value refers to the difference in actual paving length relative to the main light strip. The purpose of this step is to convert the objective difference into data that can be used to adjust the driving speed, which can be used to determine the speed adjustment in the subsequent step.

[0209] S5116, adjusting the color temperature adjustment rate and the brightness adjustment rate of each secondary light strip according to the physical parameter difference value, wherein the color temperature adjustment rate is negatively correlated with the density difference value and positively correlated with the light strip length difference value, and the brightness adjustment rate is positively correlated with the density difference value and negatively correlated with the light strip length difference value;

[0210] This step uses differentiated rules, i.e., the brightness adjustment rate is positively correlated with the density difference value and negatively correlated with the length difference value; the color temperature adjustment rate is negatively correlated with the density difference value and positively correlated with the length difference value. The intuitive understanding is that the light strip with lower density should be adjusted slower in brightness to avoid point-like abruptness, but can be adjusted slightly faster in color temperature to compensate for uneven cold and warm; the longer light strip should be adjusted slower in brightness to suppress overall mutation, and can be adjusted slightly faster in color temperature to maintain spatial color consistency. The purpose is to make different structures of light strips consistent in brightness and color temperature: brightness is mainly uniform, and color temperature is mainly color coordination.

[0211] Specifically, a reference rate of the primary light strip is generated first, and the secondary light strip is fine-tuned on this basis according to the above rules; meanwhile, the upper and lower limits of the rate, the single-step change amount, the anti-flickering and the start and end smoothing are applied; in order to improve the sense of body, the color temperature is relatively delayed for several control periods. If the difference is too large to cause the adjustment value to touch the boundary, the comfort is prioritized, and the insufficient part is continued in the next time period. In this way, stable implementation of the coordinated transition of multiple light strips can be realized without introducing complex weights and formulas.

[0212] S5117, at the adjustment start time, according to the color temperature adjustment rate and the brightness adjustment rate, control the primary light strip to switch from the current lighting parameter to the to-be-switched lighting parameter, and according to the adjusted color temperature adjustment rate and brightness adjustment rate, control the secondary light strip to switch from the current lighting parameter to the to-be-switched lighting parameter.

[0213] Specifically, at the start time, the transition is triggered: the primary light strip is executed according to the reference rate, and the secondary light strip is pushed forward according to the adjusted rate; the single-step amplitude, power and glare threshold are continuously checked within the control period; when the remaining time is not enough to completely achieve the target, the residual error is recorded and seamlessly spliced in the next period to ensure the continuity of the value and the change trend. Thus, a scene switching effect that is visually synchronized, stably engineered and without jumps at the boundary can be obtained.

[0214] By introducing the light bead density per unit length and the light strip length to calculate the light coverage value, and selecting the light strip with the strongest coverage ability as the primary light strip, the light efficiency transition of the whole space is based on the most representative light strip. The master-slave mechanism allows the system to only determine the reference rate of one primary light strip, and the secondary light strip can be corrected by the difference value, without the need to generate a complex complete curve for each light strip. In the rate correction rule, the brightness is positively correlated with the density and negatively correlated with the length, while the color temperature is negatively correlated with the density and positively correlated with the length, forming complementary adjustment, so that there is no point-like abruptness when the brightness changes, and the cold and warm deviations of sparse or long light strips can be compensated when the color temperature changes, and the overall visual transition is more natural.

[0215] Embodiment 2

[0216] Please refer to Figure 3 The embodiment of the present application provides a scene-based LED light strip adaptive control device, which comprises:

[0217] A scene information acquisition module is configured to acquire scene information of a physical space where an LED light strip is located, wherein the scene information comprises a scene type, a space area, and a number of light strips in the physical space.

[0218] An initial lighting strategy obtaining module is configured to obtain, according to the scene information, a lighting control strategy of the LED lamp strip in different time periods within a first preset period, wherein the lighting control strategy comprises a brightness parameter, a color temperature parameter and a color parameter.

[0219] A first lighting control module is configured to control the LED lamp strip to perform lighting according to the lighting control strategy of the current time period and the environmental parameter in response to a user switch instruction within the first preset period.

[0220] A lighting strategy updating module is configured to update the lighting control strategy according to historical lighting data of the LED lamp strip within the first preset period.

[0221] A second lighting control module is configured to control the LED lamp strip to perform lighting according to the adjusted lighting control strategy of the current time period and the environmental parameter in response to a user switch instruction after the first preset period.

[0222] It should be noted that the modules and units in the scene-based LED lamp strip adaptive control device in the embodiment are one-to-one corresponding to the steps in the scene-based LED lamp strip adaptive control method in the foregoing embodiment, and thus the specific embodiments of the embodiment can refer to the embodiments of the foregoing scene-based LED lamp strip adaptive control method, which will not be described herein again.

[0223] Embodiment 3

[0224] In addition, the scene-based LED lamp strip adaptive control method of the embodiments of the application described above can be implemented by a light emitting device. Figure 1 The scene-based LED lamp strip adaptive control method of the embodiments of the application described above can be implemented by a light emitting device. Figure 4 A hardware structure schematic diagram of the light emitting device provided by the embodiments of the application is shown.

[0225] Specifically, the light emitting device comprises an LED lamp strip, at least one processor, at least one memory and computer program instructions stored in the memory, and when the computer program instructions are executed by the processor, the method in the above-described embodiment 1 is implemented to control the LED lamp strip to emit light.

[0226] The electronic device can comprise a processor and a memory having computer program instructions stored therein.

[0227] Specifically, the above-mentioned processor can comprise a central processing unit (CPU), or an application specific integrated circuit (ASIC), or can be configured as one or more integrated circuits that implement the embodiments of the application.

[0228] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a belief read-only memory (ROM), or flash memory. The memory is an example of computer readable media.

[0229] Computer readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer readable media does not include transitory media such as modulated data signals and carriers.

[0230] The processor reads and executes computer program instructions stored in the memory to implement any one of the above-mentioned scene-based LED lamp strip adaptive control methods.

[0231] In one example, the electronic device can further include a communication interface and a bus. Wherein, as shown in Figure 4 The processor 401, the memory 402, the communication interface 403 are connected through the bus 410 and complete the communication between each other.

[0232] The communication interface is mainly used to realize the communication between the modules, devices, units and / or equipment in the embodiments of the application.

[0233] Buses include hardware, software, or both, to couple components of electronic devices to each other and / or to other electronic devices. The buses can include, for example, but are not limited to, Accelerated Graphics Port (AGP) or other graphics bus, Enhanced Industry Standard Architecture (EISA) bus, Front Side Bus (FSB), HyperTransport, Industry Standard Architecture (ISA) bus, Infineon

[0234] Embodiment 4

[0235] In addition, in combination with the scene-based LED lamp strip adaptive control method in the above embodiments, the embodiments of the present application can provide a computer readable storage medium to implement. The computer readable storage medium has computer program instructions stored thereon; the computer program instructions are executed by a processor to implement any one of the scene-based LED lamp strip adaptive control methods in the above embodiments.

[0236] It is to be understood that the present application is not limited to the particular configurations, processes, and materials described herein and as illustrated in the drawings. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting. In the above embodiments, several specific steps are described and illustrated in order to provide a thorough understanding of the present application. However, the process of the present application can be practiced without performing all of the described steps, and in some embodiments, additional steps can be performed. The order of the steps can also be changed.

[0237] Those skilled in the art will appreciate that embodiments of the present application can be devised for a method, a system, or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, and the like) embodying computer readable program code.

[0238] The present application is described in reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce the functions specified in the flowchart and / or block diagram of the flowchart and / or block diagram. Figure 1 one or more flows and / or blocks. Figure 1 one or more flows and / or blocks.

[0239] These computer program instructions can also be stored in a computer readable memory capable of directing the computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce a product including instruction devices, which implement the functions specified in the flowchart and / or block diagram of the flowchart and / or block diagram. Figure 1 one or more flows and / or blocks. Figure 1 one or more flows and / or blocks.

[0240] These computer program instructions can also be loaded into a computer or other programmable data processing device, so that a series of operation steps are performed on the computer or other programmable device to produce a computer implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the flowchart and / or block diagram of the flowchart and / or block diagram. Figure 1 one or more flows and / or blocks. Figure 1 one or more flows and / or blocks.

[0241] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in an order different from the embodiments, or several steps can be performed simultaneously.

[0242] The above is only a specific implementation of the present application, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above described system, module and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here. It should be understood that the protection scope of the present application is not limited thereto, and any skilled person in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application.

Claims

1. A scene-based adaptive control method for LED light strips, characterized in that, The method comprises: acquiring scene information of a physical space where the LED light strip is located, wherein the scene information comprises a scene type, a space area, and a number of light strips in the physical space; acquiring, according to the scene information, a lighting control strategy of the LED light strip in different time periods within a first preset period, wherein the lighting control strategy comprises a brightness parameter, a color temperature parameter, and a color parameter; in the first preset period, in response to a user switch instruction, controlling the LED light strip to perform lighting according to the lighting control strategy of the current time period and environmental parameters; updating the lighting control strategy according to historical lighting data of the LED light strip within the first preset period; after the first preset period, in response to a user switch instruction, controlling the LED light strip to perform lighting according to the adjusted lighting control strategy of the current time period and environmental parameters, wherein acquiring, according to the scene information, a lighting control strategy of the LED light strip in different time periods within a first preset period comprises: acquiring target lighting parameters of the physical space according to the scene type, wherein the target lighting parameters comprise an illuminance target interval, a color temperature target interval, and a color target interval of the scene type within a preset time period; acquiring total target illuminance of the physical space in different time periods according to the space area and the illuminance target interval; acquiring a light strip lighting contribution ratio according to the space area, the number of light strips, and the scene type, wherein the light strip lighting contribution ratio is positively correlated with the number of light strips and negatively correlated with the space area; acquiring a brightness control curve of each LED light strip according to the total target illuminance, the light strip lighting contribution ratio, and the number of light strips; acquiring a color temperature control curve and a color control curve of each LED light strip according to the curve variation characteristics of the brightness control curve, the color temperature target interval, and the color target interval; smoothing the brightness control curve, the color temperature control curve, and the color control curve to obtain the lighting control strategy of the LED light strip in different time periods; updating the lighting control strategy according to historical lighting data of the LED light strip within the first preset period comprises: acquiring a historical lighting data set of the LED light strip within the first preset period, wherein the historical lighting data set comprises historical lighting data corresponding to each user opening instruction, and the historical lighting data comprises a lighting duration and historical environmental illuminance and historical environmental color temperature corresponding to the lighting process; performing time period clustering on the historical lighting data set according to the historical environmental illuminance and the historical environmental color temperature to obtain a time period cluster set; acquiring an intensity index of each time period cluster according to the cumulative lighting duration of each time period cluster; acquiring a forgetting coefficient of each historical lighting data according to the instruction issuing time of each user opening instruction; weighting the forgetting coefficient and the intensity index to obtain a weighted intensity index; updating the lighting control strategy according to the weighted intensity index comprises: According to the weighted intensity index and the brightness parameter of each time cluster, a brightness correction index of each time cluster is obtained, wherein the brightness correction index and the weighted intensity index are positively correlated; According to the brightness correction index and the color temperature parameter and the color parameter of each time cluster, a color temperature correction index and a color correction index of each time cluster are obtained; The lighting control strategy is updated according to the brightness correction index, the color temperature correction index and the color correction index. 2.The scene-based adaptive control method of LED light strips according to claim 1, characterized in that, The method comprises the following steps: In response to a user switch instruction, an instruction issuing time and an environmental parameter are obtained; According to a lighting control strategy corresponding to the instruction issuing time, a target lighting parameter is obtained, the target lighting parameter comprising a target brightness parameter, a target color temperature parameter and a target color parameter; The target brightness parameter and the target color temperature parameter are set as end points to establish a multi-channel target end point set; According to the multi-channel target end point set and a preset slope value, initial lighting control curves of brightness and color temperature are obtained through a smooth interpolation algorithm; According to the initial lighting control curves and the target color parameter, the LED lamp strip is gradually turned on; During the gradual turning-on process, the end points of the lighting control curves of brightness and color temperature are adjusted according to the environmental parameter; The LED lamp strip is controlled to be illuminated according to the adjusted lighting control curves. 3.The scene-based adaptive control method of LED light strips according to claim 2, characterized in that, The method comprises the following steps: According to a preset sampling period, an environmental parameter is collected, wherein the environmental parameter comprises an ambient light intensity sequence and an ambient light color temperature sequence; The environmental parameter is smoothed to obtain a smooth light intensity and a smooth color temperature; According to the change trend of the smooth light intensity and the smooth color temperature, a predicted light intensity and a predicted color temperature are obtained; According to the smooth light intensity and the smooth color temperature, and the target brightness parameter and the target color temperature parameter, an actual brightness deviation and an actual color temperature deviation are obtained; According to the predicted light intensity and the predicted color temperature, and the target brightness parameter and the target color temperature parameter, a trend brightness deviation and a trend color temperature deviation are obtained; According to the actual brightness deviation and the trend brightness deviation, a comprehensive brightness deviation is obtained; According to the actual color temperature deviation and the trend color temperature deviation, a comprehensive color temperature deviation is obtained; According to the comprehensive brightness deviation and the comprehensive color temperature deviation, a brightness end point value and a color temperature end point value are determined respectively; According to the brightness end point value and the color temperature end point value, and the preset slope value, the lighting control curves of brightness and color temperature are adjusted through the smooth interpolation algorithm.

4. The scene-based adaptive control method for LED light strips according to claim 1, wherein, The method comprises the following steps: According to the current time and the adjusted lighting control curves, lighting parameters of a current time period and a next time period are obtained, which are denoted as a current lighting parameter and a to-be-switched lighting parameter respectively, wherein the lighting parameter comprises a brightness parameter and a color temperature parameter; According to the current lighting parameter, the LED lamp strip is controlled to be illuminated; According to the current lighting parameter and the to-be-switched lighting parameter, a parameter difference value is obtained, wherein the parameter difference value includes a color temperature difference value and a brightness difference value; According to the current time and the next time period, a remaining time length of the current time period is determined; According to the parameter difference value, a preset brightness adjustment rate range and a color temperature adjustment rate range, a brightness adjustment time interval and a color temperature adjustment time interval are obtained; The longer of the brightness adjustment time interval and the color temperature adjustment time interval is taken as a target adjustment time interval; The target adjustment time interval and the remaining time length are compared to obtain an adjustment strategy and an adjustment start time, wherein when the remaining time length is greater than or equal to the target adjustment time interval, the adjustment strategy is a staged adjustment strategy, otherwise the adjustment strategy is a linear adjustment strategy; If the adjustment strategy is the staged adjustment strategy, according to the target adjustment time interval and a preset segmentation ratio, a stage adjustment time length of each adjustment stage is obtained; According to the adjustment time length and the parameter difference value, a color temperature adjustment rate and a brightness adjustment rate of each adjustment stage are obtained; If the adjustment strategy is the linear adjustment strategy, according to the remaining time length and upper limit values of the brightness adjustment rate range and the color temperature adjustment rate range, a color temperature adjustment rate and a brightness adjustment rate are obtained; At the adjustment start time, according to the color temperature adjustment rate and the brightness adjustment rate, the LED lamp strip is controlled to switch from the current lighting parameter to the to-be-switched lighting parameter.

5. The scene-based adaptive control method of LED light strips according to claim 4, characterized in that, When the physical space includes multiple LED lamp strips, the at the adjustment start time, according to the color temperature adjustment rate and the brightness adjustment rate, the LED lamp strip is controlled to switch from the current lighting parameter to the to-be-switched lighting parameter, including: Obtaining a lamp strip physical parameter of each LED lamp strip in the physical space, wherein the lamp strip physical parameter includes a number of lamp beads, a lamp bead spacing and a lamp strip length; According to the number of lamp beads and the lamp bead spacing, a lamp bead density per unit length is obtained; According to the lamp bead density and the lamp strip length, a light-emitting coverage value of each LED lamp strip is obtained, wherein the light-emitting coverage value is positively correlated with the lamp bead density and the lamp strip length; The LED lamp strip corresponding to the maximum light-emitting coverage value is taken as a main lamp strip, and the remaining LED lamp strips are taken as secondary lamp strips; Obtaining a physical parameter difference value of each secondary lamp strip and the main lamp strip, wherein the physical parameter difference value includes a density difference value and a lamp strip length difference value; According to the physical parameter difference value, the color temperature adjustment rate and the brightness adjustment rate of each secondary lamp strip are adjusted, wherein the color temperature adjustment rate is negatively correlated with the density difference value and positively correlated with the lamp strip length difference value, and the brightness adjustment rate is positively correlated with the density difference value and negatively correlated with the lamp strip length difference value; At the adjustment start time, according to the color temperature adjustment rate and the brightness adjustment rate, the main lamp strip is controlled to switch from the current lighting parameter to the to-be-switched lighting parameter, and according to the adjusted color temperature adjustment rate and brightness adjustment rate, the secondary lamp strips are controlled to switch from the current lighting parameter to the to-be-switched lighting parameter.

6. A scene-based LED light strip adaptive control device, characterized in that, The device includes: The scene information acquisition module is used to acquire scene information of the physical space where the LED light strip is located, wherein the scene information includes scene type, space area and number of light strips in the physical space; The initial lighting strategy acquisition module is used to acquire the lighting control strategy of the LED light strip in different time periods within a first preset period based on the scene information, wherein the lighting control strategy includes brightness parameters, color temperature parameters and color parameters; The first lighting control module is used to control the LED light strip to provide illumination in response to a user's on / off command within a first preset period, based on the lighting control strategy and environmental parameters of the current time period. The lighting strategy update module is used to update the lighting control strategy based on the historical lighting data of the LED light strip within a first preset period. The second lighting control module is used to, after a first preset period, respond to a user's on / off command and control the LED light strip to provide illumination based on the lighting control strategy adjusted for the current time period and environmental parameters. Based on the scene information, obtain the lighting control strategy for the LED light strip at different time periods within a first preset period, including: Based on the scene type, the target lighting parameters of the physical space are obtained, wherein the target lighting parameters include the illuminance target range, color temperature target range, and color target range of the scene type within a preset time period; Based on the space area and the target illuminance range, the total target illuminance of the physical space in different time periods is obtained; The lighting contribution ratio of the light strips is obtained based on the space area, the number of light strips, and the scene type. The lighting contribution ratio of the light strips is positively correlated with the number of light strips and negatively correlated with the space area. Based on the total target illuminance, the lighting contribution ratio of the LED strips, and the number of LED strips, obtain the brightness control curve for each LED strip; Based on the curve variation characteristics of the brightness control curve, the color temperature target range, and the color target range, obtain the color temperature control curve and color control curve for each LED light strip; The brightness control curve, color temperature control curve, and color control curve are smoothed to obtain the lighting control strategy of the LED light strip at different time periods. The step of updating the lighting control strategy based on the historical lighting data of the LED light strip within a first preset period includes: Obtain the historical lighting dataset of the LED light strip within a first preset period, wherein the historical lighting dataset includes historical lighting data corresponding to each user activation command, and the historical lighting data includes the lighting duration and the historical ambient illuminance and historical ambient color temperature corresponding to the lighting process. Based on the historical ambient illuminance and historical ambient color temperature, the historical lighting dataset is clustered by time period to obtain a set of time period clusters; Based on the cumulative lighting duration of each cluster in each time period, the intensity index of each cluster in each time period is obtained; Based on the time when each user's activation command was issued, the forgetting coefficient of each set of historical lighting data is obtained. The weighted intensity index is obtained by weighting the forgetting coefficient and the intensity index. According to the weighted intensity index, the lighting control strategy is updated, comprising: According to the weighted intensity index and the brightness parameter of each time cluster, a brightness correction index of each time cluster is obtained, wherein the brightness correction index and the weighted intensity index are positively correlated; According to the brightness correction index and the color temperature parameter and the color parameter of each time cluster, a color temperature correction index and a color correction index of each time cluster are obtained; The lighting control strategy is updated according to the brightness correction index, the color temperature correction index and the color correction index.

7. A light emitting device, characterized by Comprising: LED light strips, at least one processor, at least one memory, and computer program instructions stored in the memory, which, when executed by the processor, implement the method of any one of claims 1-5 to control the LED light strips to emit light.

Images