Control method, device and storage medium of lighting device

Abstract

The application discloses a control method and device of a lighting device and a storage medium, relates to the technical field of lighting, and comprises the following steps: acquiring light parameters corresponding to a current lighting scene, wherein the light parameters comprise current light parameters and target light parameters; mapping each light parameter to a perception space respectively to obtain light perception values corresponding to the light parameters, wherein the light perception values comprise current light perception values and target light perception values, and the perception space is used for representing subjective perception intensity of the human eye to light parameter changes; planning a change path of the light perception values based on the current light perception values and the target light perception values; converting each light perception value in the change path into a light parameter of the lighting device respectively; and controlling the lighting device based on the light parameter. The change path of the perception value can be flexibly designed according to visual requirements of different scenes, the dynamic adjustment of the light environment is made to fit the perception rhythm of the human eye, and therefore the human visual comfort is improved.

Description

Technical Field

[0001] This application relates to the field of lighting technology, and in particular to control methods, devices and storage media for lighting equipment. Background Technology

[0002] In applications requiring prolonged visual focus, such as office work, studying, and reading, the lighting environment is a key factor affecting visual experience and work efficiency, and the control of lighting equipment influences this environment. Therefore, controlling lighting equipment becomes crucial. Related technologies involve lighting equipment outputting light parameters adapted to different lighting scenarios. However, since the light parameters corresponding to different lighting scenarios are usually fixed, this leads to reduced visual comfort for the human body. Summary of the Invention

[0003] The main purpose of this application is to provide a control method, device and storage medium for lighting equipment, which aims to flexibly design the change path of perceived value according to the visual needs of different scenarios, so that the dynamic adjustment of the light environment fits the perception rhythm of the human eye, thereby improving human visual comfort.

[0004] To achieve the above objectives, this application proposes a method for controlling a lighting device, comprising: Obtain the light parameters corresponding to the current lighting scene, where the light parameters include the current light parameters and the target light parameters; Each optical parameter is mapped to the perception space to obtain the optical perception value corresponding to each optical parameter. The optical perception value includes the current optical perception value and the target optical perception value. Based on the current light perception value and the target light perception value, plan the change path of the light perception value, where the change path reflects the relationship between the light perception value and time. Each light-sensing value in the changing path is converted into lighting parameters for the lighting equipment. The lighting equipment is controlled based on the aforementioned lighting parameters.

[0005] Furthermore, to achieve the above objectives, this application also proposes a control device for a lighting equipment, comprising: The acquisition module is used to acquire the light parameters corresponding to the current lighting scene, where the light parameters include the current light parameters and the target light parameters; The mapping module is used to map each optical parameter to the perception space to obtain the optical perception value corresponding to each optical parameter. The optical perception value includes the current optical perception value and the target optical perception value. The planning module is used to plan the change path of the light perception value based on the current light perception value and the target light perception value. The change path reflects the relationship between the light perception value and the time. The conversion module is used to convert the light sensing values ​​in the changing path into the lighting parameters of the lighting equipment. A control module is used to control the lighting equipment based on the lighting parameters.

[0006] In addition, to achieve the above objectives, this application also proposes a control device for a lighting device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the control method for the lighting device as described above.

[0007] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, storing a control program for a lighting device. When the control program for the lighting device is executed by a processor, it implements the steps of the control method for the lighting device as described above.

[0008] One or more technical solutions proposed in this application have at least the following technical effects: By mapping the physical light parameters of the current lighting scene to the perception space, the perceived light values ​​after mapping each light parameter are obtained, directly corresponding to the actual subjective feeling of the human eye. This fundamentally avoids the disconnect between physical parameter adjustment and human perception, laying a solid foundation for visual comfort. Next, a change path is planned based on the current and target perceived light values, reflecting the relationship between the perceived light values ​​and time. The design of the change path no longer focuses on the temporal changes of physical parameters, but rather on the temporal rhythm of changes in the light environment perceived by the human eye. In this way, the change path of the perceived value can be flexibly designed according to the visual needs of different scenes, allowing the dynamic adjustment of the light environment to match the perceptual rhythm of the human eye, thereby improving human visual comfort. Attached Figure Description

[0009] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0010] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a flowchart illustrating an embodiment of the control method for the lighting equipment of this application. Figure 2 This is a first detailed flowchart of the control method for the lighting equipment of this application; Figure 3 This is a second detailed flowchart of the control method for the lighting equipment of this application. Figure 4This is a third detailed flowchart of the control method for the lighting equipment of this application; Figure 5 This is a schematic diagram of the module structure of the control device for the lighting equipment according to an embodiment of this application; Figure 6 This is a schematic diagram of the structure of the control device for the lighting equipment in an embodiment of this application.

[0012] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0013] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0014] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0015] Currently, in applications requiring prolonged visual focus, such as office work, studying, and reading, the lighting environment is a key factor affecting visual experience and work efficiency. Therefore, controlling lighting equipment becomes crucial. Related technologies involve adjusting the output lighting parameters of lighting equipment to suit different lighting scenarios. However, since the lighting parameters for different scenarios are typically fixed, this leads to reduced visual comfort.

[0016] The main solution of this application embodiment is as follows: Obtain the light parameters corresponding to the current lighting scene, wherein the light parameters include current light parameters and target light parameters; map each light parameter to a perception space to obtain the light perception value corresponding to each light parameter, wherein the light perception value includes the current light perception value and the target light perception value; plan the change path of the light perception value based on the current light perception value and the target light perception value, wherein the change path reflects the change relationship of the light perception value over time; convert each light perception value in the change path into the lighting parameters of the lighting device; control the lighting device based on the lighting parameters.

[0017] By mapping the physical light parameters of the current lighting scene to the perception space, the perceived light values ​​after mapping each light parameter are obtained, directly corresponding to the actual subjective feeling of the human eye. This fundamentally avoids the disconnect between physical parameter adjustment and human perception, laying a solid foundation for visual comfort. Next, a change path is planned based on the current and target perceived light values, reflecting the relationship between the perceived light values ​​and time. The design of the change path no longer focuses on the temporal changes of physical parameters, but rather on the temporal rhythm of changes in the light environment perceived by the human eye. In this way, the change path of the perceived value can be flexibly designed according to the visual needs of different scenes, allowing the dynamic adjustment of the light environment to match the perceptual rhythm of the human eye, thereby improving human visual comfort.

[0018] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device or lighting equipment control device capable of performing the above functions. The following description uses a lighting equipment control device as an example to illustrate this embodiment and the subsequent embodiments.

[0019] Based on this, embodiments of this application provide a method for controlling a lighting device, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the control method for the lighting equipment of this application.

[0020] In this embodiment, the control method for the lighting equipment includes steps S10 to S50: Step S10: Obtain the light parameters corresponding to the current lighting scene, wherein the light parameters include the current light parameters and the target light parameters.

[0021] Lighting equipment refers to lighting fixtures with adjustable light parameters. They can adjust the output light parameters according to the received control commands to achieve dynamic changes in indicators such as color temperature and illuminance. They are suitable for various lighting scenarios such as office, study, and reading.

[0022] The current lighting scenario refers to the actual application environment in which the lighting equipment is currently located. This environment has specific visual task requirements, such as efficient office work, immersive reading, and daily study.

[0023] Light parameters are physical parameters used to characterize the output light environment of lighting equipment. They are core indicators that determine the brightness and color performance of the light environment and include two categories: current light parameters and target light parameters. Light parameters can also be further classified into color temperature, illuminance, etc., depending on their specific type.

[0024] Current light parameters refer to the actual light parameters output by the lighting equipment at the current moment under the current lighting scenario, and serve as the starting reference for light parameter adjustment. The light parameters corresponding to when the lighting equipment is turned on can be considered as the current light parameters; these are the initial light parameters and can be determined based on preset light parameters associated with the current lighting scenario. Alternatively, the light parameters acquired in real-time during the operation of the lighting equipment can be considered as the current light parameters, which can be determined by analyzing ambient light.

[0025] Target light parameters refer to the light parameters that the lighting equipment is set to ultimately achieve based on the visual task requirements of the current lighting scene; they are the endpoint of light parameter adjustment. Different lighting scenes correspond to different target light parameters, which can be preset for various lighting scenes.

[0026] In one alternative approach, the ambient light color temperature and illuminance values ​​under the current lighting scene are collected in real time by the detection modules such as the color temperature sensor and illuminance sensor built into the lighting equipment, and these values ​​are determined as the current light parameters. Based on the type of the current lighting scene, the optimal color temperature and illuminance values ​​preset for that scene are retrieved from the scene parameter library of the lighting equipment and determined as the target light parameters.

[0027] In another optional approach, a wireless communication connection is established between a mobile terminal and the lighting equipment. The user selects the current lighting scene and inputs custom current light parameters and target light parameters on the lighting control interface of the mobile terminal. The lighting equipment receives the input information and completes the acquisition of light parameters. If the lighting equipment has preset scene-related light parameters, it can directly read the preset current light parameters and target light parameters corresponding to the current lighting scene.

[0028] Step S20: Map each light parameter to the perception space to obtain the light perception value corresponding to each light parameter, wherein the light perception value includes the current light perception value and the target light perception value.

[0029] Perception space is a virtual space used to quantitatively characterize the intensity of the human eye's subjective perception of changes in light parameters. Its role is to provide a stable planning space for the construction of change paths, so that change strategies in different scenarios can be expressed and controlled in the form of path shapes, rather than being limited to a single change mode.

[0030] Light perception value refers to the numerical value of light parameters in the perception space. It is the result of converting physical light parameters based on the characteristics of human visual perception, and includes the current light perception value and the target light perception value. Its changes directly reflect the degree of change in the light environment perceived by the human eye. Specifically, the current light perception value refers to the corresponding value obtained after mapping the current light parameters to the perception space, and is the starting value of light parameter changes in the perception space. The target light perception value refers to the corresponding value obtained after mapping the target light parameters to the perception space, and is the target value of light parameter changes in the perception space.

[0031] In one alternative approach, a mapping table between physical parameter space and perception space is constructed based on a preset human visual perception model. This table contains the matching relationship between different light parameters and corresponding light perception values. The current light parameters and target light parameters are compared with the mapping table respectively, and the corresponding current light perception value and target light perception value are directly obtained.

[0032] In another alternative approach, based on the nonlinear perception characteristics of light parameters by the human eye, a mathematical conversion model from light parameters to light perception values ​​is established. The current light parameters and the target light parameters are substituted into this mathematical conversion model, and the corresponding current light perception values ​​and target light perception values ​​are calculated to complete the mapping of light parameters to the perception space.

[0033] Understandably, by perceiving spatial planning changes and flexibly designing the temporal variation patterns of light perception values, it is possible to customize differentiated light environment change rhythms according to scene requirements, making the dynamic changes of the light environment more in line with the adaptive characteristics of the human eye and alleviating the fatigue caused by prolonged visual focus.

[0034] Step S30: Based on the current light perception value and the target light perception value, plan the change path of the light perception value, wherein the change path reflects the relationship between the light perception value and time.

[0035] A change path refers to the trajectory of a light-perceived value over time, from its current value to a target value. This trajectory clearly defines the light-perceived value at different points in time and reflects the temporal variation of the light-perceived value. Because the subjective perception intensity of changes in different light parameters varies among human eyes, the change paths corresponding to different types of light parameters differ.

[0036] In one alternative approach, based on the visual requirements of the current lighting scene, the rate of change of the light perception value is set to a uniform change. Starting from the current light perception value and ending at the target light perception value, and combined with the preset total change duration, the light perception values ​​corresponding to different time points are calculated. The combinations of each time point and the corresponding light perception value are arranged in chronological order to form a linear change path of the light perception value.

[0037] In another optional approach, based on the visual task of the current lighting scene, the rate of change of the light perception value is set to be non-uniform, such as slow change in the early stage and fast change in the later stage, or fast change in the early stage and slow change in the later stage. Starting from the current light perception value and ending at the target light perception value, the light perception value at different time points is determined by segmented calculation in combination with the total change duration and the preset rate change law. The light perception values ​​at each time point are integrated in chronological order to form a non-linear change path of the light perception value.

[0038] Furthermore, based on the current light perception value and the target light perception value, the planned change path of the light perception value includes: based on the total change time required from the current light parameter to the target light parameter, the current light perception value, and the target light perception value, the planned change path of the light perception value is calculated.

[0039] Step S40: Convert each light perception value in the changing path into lighting parameters of the lighting device.

[0040] Lighting parameters refer to the physical parameters that lighting equipment can recognize and execute to control light output. They are the result of converting the perceived light value from the perceived space back to the physical space and are adapted to the hardware control logic of the lighting equipment. These lighting parameters can be categorized by type, such as color temperature and illuminance.

[0041] In one alternative approach, a reverse mapping relationship library between the sensing space and the physical control space of the lighting equipment is constructed. This library contains a one-to-one correspondence between different light sensing values ​​in the sensing space and the executable lighting parameters of the lighting equipment. The light sensing values ​​at each time point in the change path are compared with the reverse mapping relationship library in turn to find the lighting parameters corresponding to each light sensing value.

[0042] In another alternative approach, a reverse mathematical conversion formula is established to transform light perception values ​​into lighting parameters. This formula is derived based on a mathematical model of perception space mapping and can achieve accurate conversion of perception space values ​​into physical control values. The light perception values ​​at each time point in the change path are substituted into this reverse mathematical conversion formula, and the corresponding lighting parameters are calculated.

[0043] Step S50: Control the lighting equipment based on the lighting parameters.

[0044] In one alternative approach, the main control module of the lighting equipment converts the lighting parameters at each time point into PWM control signals in chronological order. By adjusting the light source drive circuit of the lighting equipment through PWM modulation technology, the light-emitting element of the light source is controlled to output the corresponding light according to the lighting parameters at the preset time points, thereby realizing the continuous dynamic output of the lighting parameters.

[0045] In another alternative approach, the lighting equipment uses digital communication to store the lighting parameters at each time point in the timing control register of the light source control chip. The control chip reads the lighting parameters in the register in chronological order according to the internal clock signal, and drives the light source of the lighting equipment to adjust the output in real time according to the parameters, thus completing the time-sequential output of the lighting parameters.

[0046] In this embodiment, by mapping the physical light parameters of the current lighting scene to the perception space, the perceived light values ​​after mapping each light parameter are obtained. These values ​​directly correspond to the actual subjective perception of the human eye, fundamentally avoiding the disconnect between physical parameter adjustment and human perception, thus laying a solid foundation for visual comfort. Next, a change path is planned based on the current and target perceived light values. This path reflects the relationship between the perceived light values ​​and time. The design of the change path no longer focuses on the temporal changes of physical parameters, but rather on the temporal rhythm of changes in the light environment perceived by the human eye. In this way, the change path of the perceived value can be flexibly designed according to the visual needs of different scenarios, allowing the dynamic adjustment of the light environment to match the perceptual rhythm of the human eye, thereby improving human visual comfort.

[0047] In one feasible implementation, obtaining the current light parameters under the current lighting scene includes: Step S11: Obtain the current ambient light parameters under the current lighting scene, and determine the current light parameters under the current lighting scene based on the current ambient light parameters.

[0048] Current ambient light parameters refer to the light parameters of the natural environment or other ambient light sources in the current lighting scene that are not affected by lighting equipment. They are indicators that reflect the characteristics of the natural light environment of the scene.

[0049] In one alternative approach, the lighting equipment is equipped with a high-precision ambient light detection sensor. This sensor can collect the ambient color temperature and illuminance values ​​in the current lighting scene in real time, i.e., the current ambient light parameters. The control module of the lighting equipment makes proportional corrections to the current ambient light parameters according to the visual requirements of the scene, and determines the corrected values ​​as the current light parameters.

[0050] In another alternative approach, ambient light parameters at different locations in the current lighting scene are collected by multiple distributed sensors. The collected data are averaged to obtain the average current ambient light parameters. The average ambient light parameters are then compensated based on the installation location and lighting range of the lighting equipment, and the calculation result is determined as the current light parameters.

[0051] Alternatively, in step S12, obtain the current preset light parameters under the current lighting scene and use them as the current light parameters.

[0052] The current preset light parameters refer to the light parameters that should be output by the lighting equipment at the current moment, which are set in advance according to the type of the current lighting scene. They are stored locally on the lighting equipment or in the cloud and serve as the preset starting reference for adjusting the light parameters.

[0053] In one alternative approach, the local storage module of the lighting device stores the current preset light parameters for each scene according to scene categories. After the user selects the current lighting scene through the physical button or wireless control terminal of the lighting device, the lighting device directly reads the current preset light parameters corresponding to the scene from the local storage module and determines them as the current light parameters.

[0054] In another alternative approach, the cloud server builds a preset library of scene lighting parameters, which stores the current preset lighting parameters for different scenes and time periods. The lighting device obtains the current scene and time period information through the positioning and time modules, uploads it to the cloud server, and then the cloud server matches the corresponding current preset lighting parameters and sends them down. The lighting device then uses these as its current lighting parameters.

[0055] This embodiment provides two methods for obtaining the current optical parameters, realizing the flexibility and diversity of obtaining the current optical parameters, and allowing the appropriate method to be selected according to different application scenarios and usage requirements.

[0056] In one feasible implementation, refer to Figure 2 Each optical parameter is mapped to the perception space to obtain the corresponding optical perception value, including: Step S21: Based on the first mapping relationship between light parameters and light perception values, the current light parameters and target light parameters are mapped to the perception space respectively to obtain the current light perception value after mapping the current light parameters and the target light perception value after mapping the target light parameters.

[0057] The first mapping relationship refers to the correspondence between light parameters in the physical parameter space and light perception values ​​in the perception space. This relationship is established based on the characteristics of human visual perception and can realize the accurate conversion of light parameters to light perception values. It is the relationship connecting the physical layer and the perception layer.

[0058] In one alternative approach, the first mapping relationship is embedded in the control program of the lighting device in the form of a function expression. This function expression can quantitatively reflect the conversion law between light parameters and light sensing values. The current light parameters and the target light parameters are substituted into the function expression of the first mapping relationship, and the corresponding current light sensing values ​​and target light sensing values ​​are obtained through real-time calculation, thus completing the mapping process.

[0059] In another alternative approach, the first mapping relationship is converted into a standardized mapping data table. This data table covers the matching data of all light parameters and corresponding light perception values ​​within the adjustment range of the lighting equipment. The current light parameters and target light parameters are retrieved from the mapping data table respectively. The values ​​not covered in the supplementary data table are calculated by interpolation to obtain the corresponding current light perception value and target light perception value, thereby realizing the mapping of light parameters to the perception space.

[0060] In this embodiment, since the first mapping relationship is established based on the characteristics of human visual perception, the conversion of light parameters to light perception values ​​can accurately match the actual human perception experience, ensuring that the mapped light perception values ​​can truly reflect the subjective feelings of the human eye towards the current and target light environment, and providing data support for improving visual comfort in the future.

[0061] In one feasible implementation, refer to Figure 3 The light parameters include color temperature and illuminance, and the light perception values ​​include color temperature and illuminance. The first mapping relationship includes a first sub-mapping relationship and a second sub-mapping relationship. The first sub-mapping relationship maps the current color temperature and the target color temperature to the perception space by utilizing the logarithmic response of the color temperature perception value. The second sub-mapping relationship maps the current illuminance and the target illuminance to the perception space by utilizing the power law property of the illuminance perception value.

[0062] Color temperature is a physical parameter that characterizes the color performance of light. It is measured in Kelvin (K) and is a component of light parameters. It directly affects the visual perception of the human eye and the alertness level of the brain.

[0063] Illuminance is a physical parameter that characterizes the amount of luminous flux received per unit area. Its unit is lux (lx). It is a component of light parameters and determines the brightness level and visual visibility of a space.

[0064] Color temperature perception value is a numerical value obtained by mapping the color temperature value to the perception space based on the human eye's perception characteristics of color temperature. It can directly reflect the intensity of the human eye's subjective perception of color temperature changes.

[0065] Illuminance perception value is a numerical value obtained by mapping the illuminance value to the perception space based on the human eye's perception characteristics of illuminance. It can directly reflect the subjective perceived intensity of changes in illuminance by the human eye.

[0066] The first sub-mapping relationship refers to the correspondence between color temperature values ​​in the physical parameter space and perceived color temperature values ​​in the perception space. This relationship is established using the logarithmic response characteristic of human eye to color temperature perception and is an important component of the first mapping relationship. The logarithmic response characteristic of color temperature perception means that the intensity of subjective perception of color temperature change by human eye is logarithmically correlated with the physical value of color temperature; that is, a linear change in the physical value of color temperature corresponds to a logarithmic change in subjective perception by human eye.

[0067] The second sub-mapping relationship refers to the correspondence between illuminance values ​​in the physical parameter space and perceived illuminance values ​​in the perception space. This relationship is established using the power law characteristic of human eye illuminance perception and is an important component of the first mapping relationship. The power law characteristic of illuminance perception means that the subjective perceived intensity of illuminance changes by the human eye is related to the physical value of illuminance by a power function. That is, changes in the physical value of illuminance correspond to power-law changes in human eye subjective perception, which is an inherent characteristic of the human visual system in the perception of light intensity.

[0068] Specifically, based on the first mapping relationship between light parameters and light perception values, the current light parameters and the target light parameters are mapped to the perception space respectively, resulting in the current light perception value after mapping the current light parameters, and the target light perception value after mapping the target light parameters, including: Step S211: Based on the first sub-mapping relationship between color temperature value and color temperature perception value, map the current color temperature value and target color temperature value to the perception space respectively, to obtain the current color temperature perception value after mapping the current color temperature value, and the target color temperature perception value after mapping the target color temperature value.

[0069] In one alternative approach, the first sub-mapping relationship is constructed as a logarithmic function with the natural constant as the base. This function fully matches the logarithmic response characteristics of the human eye to color temperature perception. The current color temperature value and the target color temperature value are substituted into the logarithmic function respectively, and the corresponding current color temperature perception value and target color temperature perception value are calculated to complete the mapping of color temperature value to perception space.

[0070] The logarithmic function described above can be expressed as: .

[0071] in, To perceive the color temperature value in the space. This is the color temperature conversion function, i.e., the logarithmic function mentioned above. The base of the logarithm can be selected based on the specific application requirements.

[0072] In another alternative approach, a color temperature value-color temperature perception value comparison database is established based on the first sub-mapping relationship. This database is calibrated through a large number of visual experiments and covers color temperature values ​​and corresponding color temperature perception values ​​in different color temperature ranges. The current color temperature value and the target color temperature value are matched in the database. For values ​​that are not directly matched, logarithmic interpolation is used to calculate the corresponding current color temperature perception value and target color temperature perception value.

[0073] The first sub-mapping relationship mentioned above can match the logarithmic response characteristics of color temperature perception, so that the change of color temperature perception value can truly reflect the actual subjective feeling of color temperature by the human eye, avoid the problem of "sudden fast and slow" perception caused by the linear change of color temperature physical value, and improve the visual comfort of color temperature adjustment.

[0074] Step S212: Based on the second sub-mapping relationship between illuminance value and illuminance perceived value, the current illuminance value and the target illuminance value are mapped to the perception space respectively to obtain the current illuminance perceived value after mapping the current illuminance value and the target illuminance perceived value after mapping the target illuminance value.

[0075] In one alternative approach, the second sub-mapping relationship is constructed as a power function. The power exponent of the power function is set within a reasonable range based on the power law characteristics of human eye illuminance perception. The current illuminance value and the target illuminance value are substituted into the power function respectively, and the corresponding current illuminance perception value and target illuminance perception value are calculated to realize the mapping of illuminance value to perception space.

[0076] The power function mentioned above can be expressed as: .

[0077] in, To perceive the illuminance value in the space. The illuminance conversion function is the power function mentioned above, where γ is the exponent. Preferably, the value of γ ranges from 0.3 to 0.5. However, the value of γ is not limited to the above range and can be adjusted according to the specific application scenario.

[0078] In another alternative approach, multiple sets of human visual perception experiments are conducted to calibrate the subjective perceived intensity of the human eye under different illuminance values. A conversion model between illuminance values ​​and perceived illuminance values ​​based on the second sub-mapping relationship is established. The current illuminance value and the target illuminance value are input into the conversion model, and the corresponding current illuminance perceived value and target illuminance perceived value are obtained through data analysis and processing of the model.

[0079] The aforementioned second sub-mapping relationship aligns with the power law characteristics of illuminance perception, enabling changes in illuminance perception values ​​to closely match the human body's perception of light intensity. This ensures that the physical adjustment of illuminance matches visual perception, avoiding visual fatigue caused by blindly adjusting illuminance.

[0080] In this embodiment, specific first and second sub-mapping relationships are established for the different perception characteristics of color temperature and illuminance values, respectively, to achieve precise multi-dimensional mapping of light parameters and improve the accuracy of light perception values. By mapping color temperature and illuminance values ​​to the perception space, the numerical dimensions of color temperature and illuminance perception values ​​are ensured to be unified in the perception space, laying the foundation for subsequent collaborative planning of their change paths in the perception space and realizing the coordinated dynamic adjustment of color temperature and illuminance.

[0081] In one feasible implementation, based on any of the above embodiments, the current light perception value includes the current color temperature perception value and the current illuminance perception value, and the target light perception value includes the target color temperature perception value and the target illuminance perception value; based on the current light perception value and the target light perception value, the planned change path of the light perception value includes: Step S31: Determine the baseline sensing change amount based on the total change time required from the current light parameters to the target light parameters.

[0082] The total change time refers to the total time required for the light parameters of a lighting device to adjust from the current light parameters to the target light parameters. It is an important time benchmark for planning the change path of light perception values. This total change time can be preset according to the type of lighting scenario, and the total change time varies for different lighting scenarios. This total change time can be fixed or adjusted according to the actual application scenario. Specifically, the light parameters here include color temperature value and illuminance value. The total change time required for the current color temperature value to reach the target color temperature value is the same as the total change time required for the current illuminance value to reach the target illuminance value, and the total change time corresponding to both can be fixed or adjusted according to the actual situation.

[0083] The baseline perceived change refers to the basic measurement value of the change of light perception value over time in the perception space, determined based on the total change duration. It serves as a common reference benchmark for planning the change paths of color temperature perception value and illuminance perception value.

[0084] In one alternative approach, the baseline sensing quantity can be determined using the baseline sensing change function and the total duration of change.

[0085] The aforementioned baseline sensing change function can be expressed as: .

[0086] Where T represents the total duration of change, and t can be any point in time within the total duration of change. The calculation result of the above-mentioned benchmark sensing change function is the benchmark sensing change amount.

[0087] Step S32: Based on the target color temperature change weighting factor and the baseline perceived change amount, determine the first change feature of the color temperature perceived value change path; based on the first change feature, the current color temperature perceived value and the target color temperature perceived value, generate the change path from the current color temperature perceived value to the target color temperature perceived value.

[0088] The target color temperature change weighting factor is a numerical value used to characterize the importance of the color temperature perception value in the change path planning. It can adjust the characteristics of the color temperature perception value change path and is a parameter for planning the color temperature perception value change path.

[0089] The first characteristic of change refers to the inherent properties of the color temperature perception value change path, which determines the pattern of color temperature perception value change over time and is the key basis for constructing the color temperature perception value change path.

[0090] In one alternative approach, the target color temperature change weighting factor is used as an exponential parameter and combined with the baseline perceived change. The rate and trend of change in the first change feature are determined by a first progress function. The smaller the weighting factor, the faster the rate of change of the color temperature perceived value in the early stage and the slower it is in the later stage. Based on the current color temperature perceived value and the target color temperature perceived value, the change process of the color temperature perceived value is planned in segments according to the rate and sequence rules set by the first change feature. The change data of each segment are integrated to generate a complete color temperature perceived value change path.

[0091] Step S33: Based on the target illuminance change weighting factor and the baseline perceived change amount, determine the second change feature of the illuminance perceived value change path; based on the second change feature, the current illuminance perceived value and the target illuminance perceived value, generate the change path from the current illuminance perceived value to the target illuminance perceived value.

[0092] The target illuminance change weighting factor is a numerical value used to characterize the importance of the perceived illuminance value in the change path planning. It can adjust the characteristics of the illuminance perceived value change path and is a parameter for planning the illuminance perceived value change path.

[0093] The second characteristic of change refers to the inherent attributes of the path of change in illuminance perceived value, which determines the pattern of change in illuminance perceived value over time and is the key basis for constructing the path of change in illuminance perceived value.

[0094] In one alternative approach, the target illuminance change weighting factor is combined with the baseline perceived change as an exponential parameter. The rate and trend of change in the second change feature are determined by a second progress function. The smaller the weighting factor, the faster the rate of change of the perceived illuminance value in the early stage and the slower it is in the later stage. Based on the current perceived illuminance value and the target perceived illuminance value, the change process of the perceived illuminance value is planned in segments according to the rate and sequence rules set by the second change feature. The change data of each segment are integrated to generate a complete path for the change of the perceived illuminance value.

[0095] The first progress function mentioned above can be expressed as: .

[0096] The second progress function mentioned above can be expressed as: .

[0097] Among them, the first schedule function and the second schedule function and Ensure that hour, Less than the same t value In other words, parameters with larger weights have slower growth in their progress functions, thus making their perception of change more significant in the later stages, achieving different rhythms of change.

[0098] Finally, the perception path is given by the following formula: .

[0099] .

[0100] in, , These are the current color temperature perception value and the target color temperature perception value, respectively. , These are the current perceived illuminance value and the target perceived illuminance value, respectively. The weighting factors satisfy... The rhythm of change can be adjusted by influencing the shape of the progress function to adapt to different scenario requirements.

[0101] After obtaining the above change path, the perceived values ​​in the change path are converted into lighting parameters in the physical space in order to control the lighting equipment.

[0102] In this embodiment, a unified baseline perceived change amount is determined based on the total change duration, providing a common time and numerical reference for the change path planning of color temperature and illuminance perceived values. This ensures that the change paths of the two are synchronized in the time dimension, achieving coordinated adjustment of color temperature and illuminance. By adjusting the first and second change features respectively through color temperature change weighting factors and illuminance change weighting factors, coordinated planning of color temperature and illuminance change paths in the perception space is realized. This allows the change rhythms of the two to coordinate with each other, such as a slow change in color temperature and a rapid change in illuminance, meeting different needs for alertness and comfort in different scenarios. This solves the problem of the singularity of synchronous adjustment of color temperature and illuminance in traditional technologies.

[0103] In one feasible implementation, both the first change feature and the second change feature include at least the change rate and the change trend, and the target color temperature change weighting factor and the target illuminance change weighting factor are negatively correlated with the change rate and the change trend.

[0104] The rate of change refers to how quickly the perceived light value changes over time in the perceived space. It is a component of the change characteristics and directly affects the human eye's perception of changes in the lighting environment. Different lighting parameters have different weighting factors for change, and the rate of change for different lighting parameters can be altered by adjusting these weighting factors. Specifically, the rate of change of the perceived light value can be from fast to slow, or from slow to fast.

[0105] The trend of change refers to the emphasis of change in the light perception value at different stages within the total change time, such as rapid change in the early stage and slow adjustment in the later stage, or slow change in the early stage and rapid convergence in the later stage. It is an important component of the change characteristics. Different light parameters have different corresponding change weighting factors, and the change trend corresponding to different light parameters can be changed by adjusting the weighting factors. Among them, the rate of change of the light perception value can be from high to low, or from low to high.

[0106] By determining the trend and rate of change of the perceived value along its path, the concavity / convexity characteristics of the path will change accordingly as the trend and rate of change change. These characteristics include any one of convexity, concaveness, or convex-concave. For example, when the trend changes from high to low and then from low to high, the path exhibits a concave characteristic; when the trend changes from low to high and then from high to low, the path exhibits a convex characteristic. When the path is displayed on the terminal, any one of the convexity, concaveness, or convex-concave characteristics of the path can intuitively reflect the trend and rate of change of the perceived value.

[0107] Negative correlation refers to the inverse relationship between two variables, that is, when the value of one variable increases, the value of the other variable decreases accordingly. In this embodiment, when the color temperature change weight factor or the illuminance change weight factor increases, the corresponding rate of change slows down and the change trend shifts towards "later dominant change", and vice versa.

[0108] In this embodiment, a negative correlation is established between the target color temperature and illuminance change weight factors and the change rate and trend. A clear adjustment logic for the weight factors on the change path is established. By adjusting the weight factor values, the rhythm of color temperature and illuminance perception changes is precisely controlled, improving the ease of operation and adjustability of path planning. Based on the negative correlation, different weight factor values ​​can be set to quickly achieve coordinated adjustment of the change rate and trend without needing to adjust the two features separately, simplifying the path planning process and improving the dynamic adjustment efficiency of lighting equipment. The negative correlation adjustment logic aligns with the visual perception adaptation characteristics of the human eye. A larger weight factor results in a slower change rate and more significant changes in the later stages, avoiding visual discomfort caused by drastic changes in the light environment. Conversely, a smaller weight factor results in a faster change rate and more significant changes in the early stages, quickly adapting to the lighting environment requirements of the scene and improving visual comfort and scene adaptability. A unified negative correlation adjustment rule applies to color temperature and illuminance change path planning, ensuring consistency in the adjustment logic of both. This facilitates the development and integration of lighting equipment control programs, reduces hardware and software development costs, and improves system stability.

[0109] In one feasible implementation, the sum of the target color temperature change weighting factor and the target illuminance change weighting factor is equal to 1. The aforementioned weighting factors can also be determined in the following manner. Specifically, the control method for the lighting equipment further includes: Step S01: Obtain the preset color temperature change weight factor associated with the current lighting scene, and use it as the target color temperature change weight factor.

[0110] The preset color temperature change weighting factor refers to a color temperature change weighting factor that is pre-calibrated and stored through visual experiments based on the visual task requirements of different lighting scenarios. It is associated with a specific lighting scenario and serves as the basis for determining the value of the target color temperature change weighting factor. The preset color temperature change weighting factors associated with different lighting scenarios are different.

[0111] In one alternative approach, the lighting device has a built-in scene parameter library, which stores the association data between different lighting scenes and corresponding preset color temperature change weight factors. After the lighting device determines the current lighting scene through the scene recognition module, it directly retrieves the preset color temperature change weight factor associated with the scene from the scene parameter library and determines it as the target color temperature change weight factor.

[0112] In another optional approach, the lighting equipment establishes a communication connection with a cloud server. The cloud server stores a large amount of preset color temperature change weight factor data for various scenes. The lighting equipment uploads the current lighting scene information to the cloud server. The cloud server matches the corresponding preset color temperature change weight factor according to the scene information and sends it to the lighting equipment, which then uses it as the target color temperature change weight factor.

[0113] And, in step S02, obtain the preset illuminance change weight factor associated with the current lighting scene, and use it as the target illuminance change weight factor.

[0114] The preset illuminance change weight factor refers to the illuminance change weight factor that is calibrated and stored in advance through visual experiments based on the visual task requirements of different lighting scenarios. It is associated with a specific lighting scenario and serves as the basis for determining the value of the target illuminance change weight factor. The preset illuminance change weight factor associated with different lighting scenarios is different.

[0115] Since the aforementioned preset color temperature change weighting factor and preset illuminance change weighting factor can be calibrated through prior visual experiments, and combine the characteristics of human visual perception with the visual task objectives of the scene, the scientific validity and rationality of the weighting factors can be ensured. This avoids the problem of unreasonable path planning caused by arbitrarily setting weighting factors manually, thus improving visual comfort. Secondly, these preset weighting factors can be stored locally or in the cloud, facilitating updates and optimizations based on actual application needs. By adding weighting factor data for new scenes, the adaptability of lighting equipment to new scenes can be improved, giving the system good scalability and upgradeability.

[0116] In one alternative approach, preset illuminance change weight factors are stored in the local storage module of the lighting device according to scene type. The lighting device retrieves the preset illuminance change weight factors corresponding to the scene from the local storage module based on the scene information manually entered by the user, and determines them as the target illuminance change weight factors.

[0117] In another alternative approach, the optimal illuminance change weight factor for different lighting scenarios is calibrated through visual experiments, and a mapping model between the scenario and the illuminance weight factor is constructed. The lighting device inputs the visual feature parameters of the current lighting scenario into the model, and the model outputs the corresponding preset illuminance change weight factor, which the lighting device uses as the target illuminance change weight factor.

[0118] In this embodiment, preset weighting factors associated with the current lighting scene are obtained, allowing the values ​​of the target color temperature and illuminance change weighting factors to be directly bound to the visual requirements of the scene. This ensures that the change path of the weighting factors can accurately adapt to the scene, achieving scene-specific customization of the change path and improving the scene adaptability of dynamic lighting. By explicitly defining the sum of the target color temperature change weighting factor and the target illuminance change weighting factor as 1, the weight allocation of color temperature and illuminance in the change path planning is ensured to be reasonable, avoiding the disorder of light environment changes caused by the superposition of their weights, and achieving coordinated and balanced adjustment of color temperature and illuminance.

[0119] In one feasible implementation, converting each light-sensing value in the changing path into lighting parameters of the lighting device includes: Step S41: Based on the second mapping relationship between light parameters and light sensing values, the light sensing values ​​corresponding to each time point in the change path are mapped to the physical space to obtain the lighting parameters of the lighting equipment corresponding to each time point.

[0120] The second mapping relationship refers to the reverse correspondence between the light perception value in the perception space and the lighting parameters of the lighting equipment in the physical space. This relationship is derived from the first mapping relationship and can realize the accurate conversion of light perception value to lighting parameters. It is the relationship connecting the planning of the perception layer and the execution of the physical layer.

[0121] Physical space refers to the space that characterizes the physical lighting parameters that lighting equipment can execute. The values ​​of this space are physical quantities that the hardware of the lighting equipment can recognize and execute, which are different from the perceptual space that characterizes the subjective perception of the human eye.

[0122] A time point refers to multiple discrete moments within the total duration of changes in light perception values, serving as a time reference for planning change paths and converting lighting parameters.

[0123] In one alternative approach, the second mapping relationship is constructed as a function expression that is the inverse of the first mapping relationship. This function expression enables the accurate reverse calculation of the perceived spatial values ​​to the physical lighting parameters. The light perception values ​​at each time point in the change path are sequentially substituted into the function expression of the second mapping relationship, and the lighting parameters corresponding to each time point are calculated to complete the mapping from the perceived space to the physical space.

[0124] In another alternative approach, a reverse lookup table of light perception values ​​and lighting parameters based on the second mapping relationship is established. This lookup table is obtained through extensive experiments and computational calibration, covering matching data of different light perception values ​​and corresponding lighting parameters in the perception space. The light perception values ​​at each time point in the change path are retrieved from the reverse lookup table, and interpolation is used to calculate the lighting parameters corresponding to each time point for values ​​that are not directly matched.

[0125] In this embodiment, the basis for the transformation from the perception space to the physical space is clearly defined as the second mapping relationship. A standardized transformation channel from perception layer planning to physical layer execution is established to ensure that the light perception values ​​in the change path can be accurately converted into executable lighting parameters of the lighting equipment, avoiding deviations between perception planning and physical execution. The second mapping relationship and the first mapping relationship form a reciprocal mapping system, realizing a complete closed-loop transformation from physical parameters to perception parameters and back to physical parameters. This ensures the accuracy and consistency of light parameter adjustment, allowing the user-friendly change path designed in the perception space to be accurately implemented into actual changes in the light environment. Based on the second mapping relationship, the point-by-point conversion of light perception values ​​at each time point ensures the temporality and continuity of lighting parameters, allowing the lighting equipment to output the corresponding lighting parameters in chronological order, realizing continuous dynamic adjustment of the light environment, and avoiding the visual abruptness caused by step-by-step adjustments. The second mapping relationship is solidified in the control logic of the lighting equipment, enabling rapid conversion from light perception values ​​to lighting parameters. Even when facing a large number of conversion requirements at various time points, it can ensure real-time performance, improve the dynamic adjustment efficiency of the lighting equipment, and adapt to the continuous lighting needs of long-term visual focus scenarios. The standardized second mapping relationship makes the conversion process replicable and adjustable. The parameters of the second mapping relationship can be fine-tuned according to the hardware performance and light source characteristics of the lighting equipment, making the conversion of lighting parameters more suitable for specific lighting equipment and improving the versatility and adaptability of the technical solution.

[0126] In one feasible implementation, the light perception value at each time point includes a color temperature perception value and an illuminance perception value, and the lighting parameters of the lighting equipment at each time point include a color temperature value and an illuminance value; the second mapping relationship includes a third sub-mapping relationship and a fourth sub-mapping relationship. Based on the second mapping relationship between light parameters and light perception values, the light perception values ​​at each time point in the change path are mapped to the physical space respectively, resulting in the lighting parameters of the lighting equipment at each time point, including: Step S411: Based on the third sub-mapping relationship between color temperature value and color temperature perception value, the color temperature perception value corresponding to each time point in the change path is mapped to the physical space to obtain the color temperature value of the lighting device corresponding to each time point.

[0127] The third sub-mapping relationship refers to the inverse correspondence between the color temperature perceived value in the perception space and the color temperature value of the lighting equipment in the physical space. It is derived from the first sub-mapping relationship and is an important component of the second mapping relationship. It enables the precise conversion of the color temperature perceived value to the color temperature lighting parameter. The third sub-mapping relationship is the inverse of the first sub-mapping relationship, ensuring that the conversion from the color temperature perceived value to the color temperature value perfectly matches the color temperature perception characteristics of the human eye. This ensures that the physical output of the color temperature is completely consistent with the planning of the perception space, guaranteeing the precise implementation of the color temperature change path.

[0128] In one alternative approach, the third sub-mapping relationship is constructed as the inverse function of the first sub-mapping relationship. This inverse function fully matches the logarithmic response characteristics of color temperature perception, enabling accurate back-calculation of the color temperature perception value to the physical color temperature value. The color temperature perception value at each time point in the change path is substituted into the inverse function, and the color temperature value of the lighting device at each time point is calculated.

[0129] The inverse function of the first sub-mapping relation mentioned above can be expressed as: .

[0130] In another alternative approach, a color temperature perception value and a reverse calibration library based on the third sub-mapping relationship are established. This calibration library determines the actual color temperature parameters corresponding to different color temperature perception values ​​through a large number of experiments. The color temperature perception values ​​at each time point in the change path are matched in the reverse calibration library. For unmatched values, the logarithmic inverse interpolation method is used to calculate the color temperature value corresponding to each time point.

[0131] Step S412: Based on the fourth sub-mapping relationship between illuminance value and illuminance perception value, the illuminance perception value corresponding to each time point in the change path is mapped to the physical space to obtain the illuminance value of the lighting device corresponding to each time point.

[0132] The fourth sub-mapping relationship refers to the inverse correspondence between the perceived illuminance value in the perception space and the illuminance value of the lighting equipment in the physical space. Derived from the second sub-mapping relationship, it is a crucial component of the second sub-mapping relationship and enables precise conversion of perceived illuminance values ​​to illuminance lighting parameters. The fourth sub-mapping relationship is the inverse of the second sub-mapping relationship, ensuring that the conversion from perceived illuminance values ​​to illuminance values ​​closely matches the human eye's illuminance perception patterns. This guarantees synchronization between physical illuminance adjustments and the planning of the perception space, achieving accurate execution of the illuminance change path.

[0133] In one alternative approach, the fourth sub-mapping relation is constructed as the inverse function of the second sub-mapping relation. The power exponent of this inverse function matches the power law characteristic of illuminance perception. The illuminance perception values ​​at each time point in the change path are substituted into this inverse function, and the illuminance values ​​of the lighting equipment at each time point are calculated, thus completing the conversion of illuminance perception values ​​to physical illuminance values.

[0134] The inverse function of the second sub-mapping relation mentioned above can be expressed as: .

[0135] In another alternative approach, through multiple sets of hardware debugging experiments, the correspondence between the illuminance output of the lighting equipment and the perceived illuminance value is calibrated, and a conversion model based on the fourth sub-mapping relationship is established. The perceived illuminance value at each time point in the change path is input into the conversion model, and the model outputs the corresponding illuminance value according to the hardware characteristics, ensuring that the illuminance value is compatible with the actual output capability of the lighting equipment.

[0136] In this embodiment, specific third and fourth sub-mapping relationships are established for the different mapping characteristics of color temperature perception values ​​and illuminance perception values, respectively. This achieves precise reverse conversion of spatial light parameters in a multi-dimensional manner, solving the problem that traditional unified reverse mapping cannot adapt to the perception characteristics of different light parameters and improving the conversion accuracy of lighting parameters. Decomposing the second mapping relationship into third and fourth sub-mapping relationships makes the conversion process from perceived space to physical space more targeted. Reverse conversion parameters can be adjusted individually according to the color temperature and illuminance adjustment accuracy of lighting equipment, improving the flexibility and adaptability of the conversion process. This achieves independent and synchronous conversion of color temperature and illuminance perception values ​​to physical lighting parameters, ensuring the synchronicity of color temperature and illuminance values ​​in the time dimension. This allows lighting equipment to simultaneously adjust color temperature and illuminance according to the planned path, achieving coordinated dynamic output and improving the overall adjustment effect of the light environment.

[0137] This application, through the aforementioned technical solution, plans the path of light parameter changes in the perception space, enabling dynamic lighting changes to move beyond a single pattern and construct differentiated change curves for different application scenarios, effectively improving the scene adaptability of dynamic light control. By coordinating the planning of color temperature and illuminance change paths, more precise control can be achieved at the level of change rhythm and sequence, making the light environment changes more aligned with the alertness, comfort, or relaxation requirements of specific visual tasks. By decoupling scene parameters and perception path configuration from specific physical control methods, multi-scene dynamic lighting control can be achieved by adjusting path parameters without changing the hardware structure, demonstrating good versatility and scalability.

[0138] For example, in order to help understand the implementation flow of the lighting device control method obtained by combining the above embodiments, the overall flow of the lighting device control method of this application will be described in detail below: "Efficient office work" is selected as a typical application scenario to illustrate the implementation of the method described in this application in a specific scenario. The goal of dynamic light control in this scenario is to reasonably allocate the rhythm of color temperature and illuminance changes during long-term visual tasks, so that changes in the light environment do not interfere with task focus, while also alleviating the accumulation of continuous visual load.

[0139] In this embodiment, the following parameter settings are used as an example, but this application is not limited to the following specific values.

[0140] The method flow provided in the embodiment includes the following steps: 1) Parameter Acquisition. Acquire the initial color temperature value for dynamic light changes. Initial illuminance value Target color temperature value Target illuminance value and total duration of change ; In this embodiment, an initial color temperature value is set for the "efficient office" scenario. 5000K, initial illuminance value 1000 lx, target color temperature value Target illuminance value: 4000K The value is 500 lx, and the total duration of change is... It lasts 45 minutes.

[0141] 2) Scene Parameter Configuration and Invocation. The system's pre-set scene parameter library is used to retrieve the optimized parameter set corresponding to the "Efficient Office" scene. This parameter set was determined through preliminary comparative experiments (methods detailed below) and includes: Color temperature perception mapping logarithmic base =10.

[0142] The power exponent for illuminance perception mapping is γ=0.5.

[0143] Color temperature change weighting factor .

[0144] Illuminance variation weighting factor .

[0145] Among them, the aforementioned weighting factors are used to adjust the relative rhythmic relationship between color temperature and illuminance changes in the perceptual space, reflecting the emphasis on the rhythmic change of illuminance in this scenario.

[0146] 3) Perceptual Uniform Space Mapping. Based on the human eye perception model, the physical quantities are mapped to a perceptual uniform space.

[0147] Based on the parameters of the above call γ, and the initial color temperature perception value are calculated using the formula. With the target color temperature perception value Initial illuminance perceived value Perceived illuminance value of target .

[0148] 4) Scene Perception Path Planning. Within the uniform perception space, based on the scene parameter set corresponding to the efficient office scene, the change paths of color temperature perception values ​​and illuminance perception values ​​are planned. First, the weighted baseline perception change is calculated: .

[0149] Then, progress functions for color temperature and illuminance are constructed respectively. and : .

[0150] .

[0151] The progress function controls the order and pace of change of different parameters by altering the convexity and growth rate of the curve.

[0152] Subsequently, the perception paths for color temperature and illuminance were calculated separately: .

[0153] .

[0154] 5) Physical curve generation. The planned sensing path is transformed back into the physical parameter space through the inverse function of the mapping function.

[0155] The above calculations and By mapping back to the physical parameter space using the inverse function, the actual control curve that varies with time is obtained: Color temperature control curve: .

[0156] Illuminance control curve: .

[0157] 6) Collaborative control output. Based on the generated... and The curve synchronously and continuously controls the color temperature and illuminance output of the adjustable light source until the target state is achieved.

[0158] 7) Parameter Optimization and Scene Adaptation. For different application scenarios, corresponding scene parameter sets are determined through comparative experiments. These scene parameter sets include at least the perception mapping function parameters, perception path control parameters, and relative change weights for color temperature and illuminance, and are stored in a scene parameter library. In practical applications, the corresponding scene parameter set is invoked based on user selection or environmental perception results, thereby achieving scene-based and adaptive adjustment of the dynamic light control path.

[0159] In this application, the key parameters used for perception mapping and path planning are determined according to the following principles: 1) The function parameters mentioned above ( (γ): Primarily determined based on the classical psychophysical model of human visual perception. The color temperature perception mapping uses a logarithmic function, whose base is... The preferred value is 10 (a commonly used logarithm) to conform to the logarithmic perception characteristics described by the Weber-Fechner law; the illuminance perception mapping adopts a power function, and its exponent γ is based on Stevens' power law, taking a value of 0.5 within the commonly used range of illuminance perception to match the nonlinear response of the human eye to light intensity. This application is not limited to the above specific values ​​and can be adjusted according to the actual application scenario.

[0160] 2) Weighting factors ( , This parameter is used to adjust the change path of color temperature and illuminance in a perceived uniform space, and is key to adapting to different scenario requirements. To determine the optimal weight for the "efficient office" scenario, a targeted experiment was designed: Under the premise of fixing all other parameters, four representative weight combinations were preset ((0.5, 0.5), (0.4, 0.6), (0.3, 0.7), (0.6, 0.4)), generating four dynamic light curves. Each curve was experienced by 8 subjects in a 45-minute standardized visual search task to simulate an efficient office scenario, and subjective comfort and CFF values ​​were collected before and after the task. The experimental results show that the weight combination (0.4, 0.6) can obtain the best overall comfort score and the smallest CFF decrease rate, and is therefore determined as the recommended weight for the "efficient office" scenario.

[0161] Using the above methods, a complete set of optimization parameters can be determined based on the visual ergonomics goals of a specific scenario. ,γ, , Other scenarios, such as "reading relaxation" and "nighttime rest," can have their parameter sets determined through similar principles and experimental procedures and stored in the system's scenario parameter library.

[0162] To further demonstrate the advantages of the method in alleviating eye strain and improving visual comfort, particularly to verify the effectiveness of the scene-based parameter optimization mechanism, a controlled experiment was conducted. The changes in visual response under different lighting conditions were evaluated through comparative analysis of the experimental data. To verify the matching between the dynamic light curve generated by this application and the rhythm of human visual perception, a systematic comparison was made of the measurement results of the experimental group (dynamic light after scene parameter optimization) with control group A (static light) and control group B (dynamic light with general parameters) before and after the task.

[0163] The specific implementation is as follows: The dynamic light mode generated by optimizing the parameters of the above-mentioned "efficient office" scenario (working period: 5000K / 1000lx → 4000K / 500lx, lasting 45 minutes). =10, γ=0.5, =0.4, =0.6) was used as the experimental group condition, and constant static light (4500K, 750lx) with similar average brightness and color temperature to the experimental group was used as control group A. The default parameters of the dynamic light mode without scene optimization (working period: 5000K / 1000lx→4000K / 500lx, lasting 45 minutes) were used. =10, γ=0.5, =0.5, =0.5). The visual responses of the subjects were measured under these three lighting conditions. The specific experimental and data analysis methods are as follows: 1) The experiment was conducted in a simulated standard study / office cubicle. The cubicle was entirely white and measured 150cm (length) × 100cm (width) × 135cm (height). The experimental tabletops were covered with neutral gray fabric to unify the visual background and control contrast. This setup could support up to four participants simultaneously. During the experiment, all ambient lights were turned off, and only controlled experimental light sources were used for illumination. The experimental light sources consisted of four lamps with adjustable color temperature and illuminance.

[0164] 2) A total of 16 participants took part in the experiment, including 8 male and 8 female participants. All participants were students who had passed the Ishihara color blindness test and possessed normal color vision. The participants' ages ranged from 18 to 30 years old. After passing the test, participants completed a questionnaire outside the laboratory containing information such as gender and age. All experiments were completed between 7:00 PM and 9:00 PM.

[0165] 3) All participants engaged in three groups: the experimental group, control group A, and control group B. Before the experiment began, all participants were seated under the guidance of the experimenters and completed questionnaires in separate cubicles. The experimenters provided a detailed explanation of the experiment. Participants first completed a subjective comfort scale as required, measuring the critical fusion frequency (CFF) and reaction time (PVT). After completing the scale, participants began a 45-minute simulated visual task, a standardized visual search task. After the task period, participants completed the subjective comfort scale again, measuring the CFF and PVT.

[0166] Table 1 shows the average decrease in each indicator of the subjects before and after the work period under the three groups of conditions: Table 1

[0167] Both a decrease in CFF and a decrease in PVT can indicate increased visual fatigue in the subjects.

[0168] The results showed that the experimental group (optimized dynamic light of this application) exhibited smaller decreases in all three indicators compared to the two control groups, demonstrating the superiority of the proposed method in alleviating visual fatigue and maintaining comfort. Compared to control group B (general dynamic light), the experimental group showed even smaller decreases in indicators, directly proving the effectiveness of the scene-based parameter optimization mechanism. Through data-driven parameter tuning, dynamic light control can better match the ergonomic needs of specific scenes.

[0169] This experiment not only verified the effectiveness of the core methods (steps 1-6) of this application, but also highlighted the additional technical effects and creative contributions brought about by parameter optimization in step 7 through comparison.

[0170] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the control method of the lighting device of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0171] Based on the same inventive concept, this application also provides a control device for lighting equipment, please refer to... Figure 5 The control device for the lighting equipment includes: The acquisition module 10 is used to acquire the light parameters corresponding to the current lighting scene, wherein the light parameters include the current light parameters and the target light parameters; The mapping module 20 is used to map each light parameter to the perception space to obtain the light perception value corresponding to each light parameter, wherein the light perception value includes the current light perception value and the target light perception value; Planning module 30 is used to plan the change path of light perception value based on the current light perception value and the target light perception value, wherein the change path reflects the relationship between the light perception value and time. The conversion module 40 is used to convert the light sensing values ​​in the changing path into the lighting parameters of the lighting device. The control module 50 is used to control the lighting equipment based on the lighting parameters.

[0172] In one embodiment, the mapping module 20 is further configured to map the current light parameter and the target light parameter to the perception space based on the first mapping relationship between the light parameter and the light perception value, so as to obtain the current light perception value after mapping the current light parameter and the target light perception value after mapping the target light parameter.

[0173] In one embodiment, the light parameters include color temperature and illuminance, and the light perception values ​​include color temperature and illuminance. The mapping module 20 is further configured to map the current color temperature and the target color temperature to the perception space based on a first sub-mapping relationship between the color temperature and the color temperature perception values, to obtain the current color temperature perception value mapped from the current color temperature and the target color temperature perception value mapped from the target color temperature; and to map the current illuminance and the target illuminance to the perception space based on a second sub-mapping relationship between the illuminance and the illuminance perception values, to obtain the current illuminance perception value mapped from the current illuminance and the target illuminance perception value mapped from the target illuminance; wherein the first mapping relationship includes a first sub-mapping relationship and a second sub-mapping relationship.

[0174] In one embodiment, the current light perception value includes the current color temperature perception value and the current illuminance perception value, and the target light perception value includes the target color temperature perception value and the target illuminance perception value. The planning module 30 is further configured to determine the baseline perception change amount based on the total change time required from the current light parameter to the target light parameter; determine the first change feature of the color temperature perception value change path based on the target color temperature change weighting factor and the baseline perception change amount; generate the change path from the current color temperature perception value to the target color temperature perception value based on the first change feature, the current color temperature perception value, and the target color temperature perception value; determine the second change feature of the illuminance perception value change path based on the target illuminance change weighting factor and the baseline perception change amount; and generate the change path from the current illuminance perception value to the target illuminance perception value based on the second change feature, the current illuminance perception value, and the target illuminance perception value.

[0175] In one embodiment, both the first change feature and the second change feature include at least the change rate and the change trend, and the target color temperature change weighting factor and the target illuminance change weighting factor are negatively correlated with the change rate and the change trend.

[0176] In one embodiment, the method further includes: obtaining a preset color temperature change weight factor associated with the current lighting scene as a target color temperature change weight factor; and obtaining a preset illuminance change weight factor associated with the current lighting scene as a target illuminance change weight factor; wherein the sum of the target color temperature change weight factor and the target illuminance change weight factor is equal to 1.

[0177] In one embodiment, the conversion module 40 is further configured to map the light perception values ​​corresponding to each time point in the change path to the physical space based on the second mapping relationship between light parameters and light perception values, so as to obtain the lighting parameters of the lighting device corresponding to each time point.

[0178] In one embodiment, the light perception value corresponding to each time point includes a color temperature perception value and an illuminance perception value, and the lighting parameters of the lighting device corresponding to each time point include a color temperature value and an illuminance value; the conversion module 40 is further configured to: based on the third sub-mapping relationship between the color temperature value and the color temperature perception value, map the color temperature perception value corresponding to each time point in the change path to the physical space respectively, to obtain the color temperature value of the lighting device corresponding to each time point; based on the fourth sub-mapping relationship between the illuminance value and the illuminance perception value, map the illuminance perception value corresponding to each time point in the change path to the physical space respectively, to obtain the illuminance value of the lighting device corresponding to each time point; wherein, the second mapping relationship includes the third sub-mapping relationship and the fourth sub-mapping relationship.

[0179] In one embodiment, the acquisition module 10 is further configured to: acquire the current ambient light parameters under the current lighting scene, and determine the current light parameters under the current lighting scene based on the current ambient light parameters; or, acquire the current preset light parameters under the current lighting scene as the current light parameters.

[0180] The lighting equipment control device provided in this application, employing the lighting equipment control method described in the above embodiments, can flexibly design the change path of perceived values ​​according to the visual needs of different scenarios, allowing the dynamic adjustment of the light environment to match the perceptual rhythm of the human eye, thereby improving human visual comfort. Compared with the prior art, the beneficial effects of the lighting equipment control device provided in this application are the same as those of the lighting equipment control method provided in the above embodiments, and other technical features in the lighting equipment control device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0181] Based on the same inventive concept, this application provides a control device for a lighting device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the control method for the lighting device in the above embodiments.

[0182] The following is for reference. Figure 6 It shows a structural schematic diagram of a control device suitable for implementing the lighting equipment of the present application embodiments. Figure 6 The control device for the lighting equipment shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0183] like Figure 6As shown, the control device for the lighting equipment may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 1002 or a program loaded from storage device 1003 into random access memory (RAM) 1004. The random access memory 1004 also stores various programs and data required for the operation of the control device for the lighting equipment. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the lighting equipment control device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a lighting equipment control device with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0184] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from read-only memory 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0185] The lighting equipment control device provided in this application adopts the lighting equipment control method in the above embodiments. It can flexibly design the change path of the perceived value according to the visual needs of different scenarios, so that the dynamic adjustment of the light environment matches the perception rhythm of the human eye, thereby improving human visual comfort. Compared with the prior art, the beneficial effects of the lighting equipment control device provided in this application are the same as the beneficial effects of the lighting equipment control method provided in the above embodiments, and other technical features in the lighting equipment control device are the same as the features disclosed in the previous embodiment method, and will not be repeated here.

[0186] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0187] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0188] Based on the same inventive concept, this application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the control method of the lighting device in the above embodiments.

[0189] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory (EPROM), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, radio frequency (RF), etc., or any suitable combination thereof.

[0190] The aforementioned computer-readable storage medium may be included in the control device of the lighting equipment; or it may exist independently and not be assembled into the control device of the lighting equipment.

[0191] The aforementioned computer-readable storage medium carries one or more programs. When the aforementioned one or more programs are executed by the control device of the lighting equipment, the control device of the lighting equipment can flexibly design the path of change of perceived value according to the visual needs of different scenarios, so that the dynamic adjustment of the light environment conforms to the perception rhythm of the human eye, thereby improving human visual comfort.

[0192] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0193] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0194] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0195] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the control method of the above-described lighting device. This program can flexibly design the path of perceptual value change according to the visual needs of different scenarios, allowing the dynamic adjustment of the light environment to match the perceptual rhythm of the human eye, thereby improving human visual comfort. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the control method of the lighting device provided in the above embodiments, and will not be repeated here.

[0196] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for controlling a lighting device, characterized in that, The method includes: Obtain the light parameters corresponding to the current lighting scene, wherein the light parameters include the current light parameters and the target light parameters; Each of the aforementioned optical parameters is mapped to the perception space to obtain the optical perception value corresponding to each of the aforementioned optical parameters, wherein the optical perception value includes the current optical perception value and the target optical perception value; Based on the current light perception value and the target light perception value, a change path for the light perception value is planned, wherein the change path reflects the relationship between the light perception value and time. Each light-sensing value in the change path is converted into a lighting parameter of the lighting device. The lighting equipment is controlled based on the lighting parameters.

2. The control method for the lighting equipment as described in claim 1, characterized in that, The step of mapping each of the optical parameters to the perception space to obtain the optical perception value corresponding to each of the optical parameters includes: Based on the first mapping relationship between light parameters and light perception values, the current light parameters and the target light parameters are respectively mapped to the perception space to obtain the current light perception value after mapping the current light parameters and the target light perception value after mapping the target light parameters.

3. The control method for the lighting equipment as described in claim 2, characterized in that, The light parameters include color temperature and illuminance values, and the light perception values ​​include color temperature and illuminance values; based on the first mapping relationship between the light parameters and the light perception values, the current light parameters and the target light parameters are mapped to the perception space respectively to obtain the current light perception value after mapping the current light parameters, and the target light perception value after mapping the target light parameters, including: Based on the first sub-mapping relationship between color temperature value and color temperature perception value, the current color temperature value and the target color temperature value are mapped to the perception space respectively to obtain the current color temperature perception value after mapping the current color temperature value, and the target color temperature perception value after mapping the target color temperature value. Based on the second sub-mapping relationship between illuminance value and illuminance perceived value, the current illuminance value and the target illuminance value are mapped to the perception space respectively to obtain the current illuminance perceived value after mapping the current illuminance value and the target illuminance perceived value after mapping the target illuminance value. The first mapping relationship includes the first sub-mapping relationship and the second sub-mapping relationship.

4. The control method for the lighting device as described in any one of claims 1 to 3, characterized in that, The current light perception value includes the current color temperature perception value and the current illuminance perception value, and the target light perception value includes the target color temperature perception value and the target illuminance perception value; the step of planning the change path of the light perception value based on the current light perception value and the target light perception value includes: Based on the total change time required from the current light parameters to the target light parameters, determine the baseline sensing change amount; Based on the target color temperature change weighting factor and the baseline perceived change amount, a first change feature is determined for the change path of the color temperature perceived value; based on the first change feature, the current color temperature perceived value and the target color temperature perceived value, a change path from the current color temperature perceived value to the target color temperature perceived value is generated. Based on the target illuminance change weighting factor and the baseline perceived change amount, a second change feature is determined for the change path of the perceived illuminance value; based on the second change feature, the current perceived illuminance value, and the target perceived illuminance value, a change path from the current perceived illuminance value to the target perceived illuminance value is generated.

5. The control method for the lighting device as described in claim 4, characterized in that, Both the first change feature and the second change feature include at least the change rate and the change trend, and the target color temperature change weighting factor and the target illuminance change weighting factor are negatively correlated with the change rate and the change trend.

6. The control method for the lighting device as described in claim 4, characterized in that, The control method for the lighting equipment further includes: Obtain the preset color temperature change weighting factor associated with the current lighting scene, and use it as the target color temperature change weighting factor; and, Obtain the preset illuminance change weight factor associated with the current lighting scene, and use it as the target illuminance change weight factor; Wherein, the sum of the target color temperature change weighting factor and the target illuminance change weighting factor is equal to 1.

7. The control method for the lighting device as described in any one of claims 1 to 3, characterized in that, The step of converting each light-sensing value in the change path into lighting parameters of the lighting device includes: Based on the second mapping relationship between light parameters and light perception values, the light perception values ​​corresponding to each time point in the change path are mapped to the physical space to obtain the lighting parameters of the lighting equipment corresponding to each time point.

8. The control method for the lighting device as described in claim 7, characterized in that, The light perception values ​​corresponding to each time point include color temperature perception values ​​and illuminance perception values, and the lighting parameters of the lighting equipment corresponding to each time point include color temperature values ​​and illuminance values; based on the second mapping relationship between light parameters and light perception values, the light perception values ​​corresponding to each time point in the change path are mapped to physical space respectively to obtain the lighting parameters of the lighting equipment corresponding to each time point, including: Based on the third sub-mapping relationship between color temperature value and color temperature perception value, the color temperature perception value corresponding to each time point in the change path is mapped to the physical space to obtain the color temperature value of the lighting device at each time point. Based on the fourth sub-mapping relationship between illuminance value and illuminance perceived value, the illuminance perceived value corresponding to each time point in the change path is mapped to the physical space to obtain the illuminance value of the lighting device corresponding to each time point. The second mapping relationship includes the third sub-mapping relationship and the fourth sub-mapping relationship.

9. The control method for the lighting equipment as described in claim 1, characterized in that, Obtaining the current light parameters in the current lighting scene includes: Obtain the current ambient light parameters for the current lighting scene, and determine the current light parameters for the current lighting scene based on the current ambient light parameters; or... Obtain the current preset light parameters under the current lighting scene, and use them as the current light parameters.

10. A control device for a lighting equipment, characterized in that, The device includes: The acquisition module is used to acquire the light parameters corresponding to the current lighting scene, wherein the light parameters include the current light parameters and the target light parameters; The mapping module is used to map each of the light parameters to the perception space to obtain the light perception value corresponding to each of the light parameters, wherein the light perception value includes the current light perception value and the target light perception value; The planning module is used to plan the change path of the light perception value based on the current light perception value and the target light perception value, wherein the change path reflects the relationship between the light perception value and time. The conversion module is used to convert each light sensing value in the change path into the lighting parameters of the lighting device, respectively. A control module is used to control the lighting equipment based on the lighting parameters.

11. A control device for a lighting equipment, characterized in that, The apparatus includes: a memory, a processor, and a control program for a lighting device stored in the memory and executable on the processor, the control program being configured to implement the steps of the control method for a lighting device as described in any one of claims 1 to 9.

12. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and the storage medium stores a control program for the lighting device. When the control program for the lighting device is executed by a processor, it implements the steps of the control method for the lighting device as described in any one of claims 1 to 9.

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