Intelligent lighting adjustment method, adjustment module and dimming lamp

Abstract

The present application relates to the technical field of lighting adjustment, and in particular to an intelligent lighting adjustment method, adjustment module and dimming lamp. The present application collects the current environmental parameters and lighting coverage information in real time, and compares them with the preset environmental parameter thresholds to preliminarily determine the overall lighting demand level, thereby realizing rapid perception and judgment of environmental lighting demand, and improving response speed and control efficiency; then, through regional division and personnel density calculation, the preliminary lighting demand is corrected according to the personnel distribution, and the target lighting demand level of each area is obtained, thereby realizing fine-grained zoning control, meeting the differentiated lighting needs of different areas, and improving lighting comfort; finally, the lighting demand level generates corresponding matching target color parameters, including brightness, color temperature, RGB, etc., realizing precise control of light color, and greatly improving the intelligence level of the lighting system.

Description

Technical Field

[0001] The present application relates to the technical field of lighting regulation, and in particular to an intelligent lighting regulation method, a regulation module and a dimming lamp. Background Art

[0002] With the development of society and the improvement of living standards, people's demand for comfort and personalization of lighting environment is growing. Traditional lighting systems usually adopt a single lighting mode, which is difficult to meet the diverse lighting needs of different scenes and personal preferences. At the same time, they lack the ability to perceive and dynamically adjust environmental changes in real time, resulting in poor lighting effects and serious energy waste.

[0003] At present, intelligent lighting technology has become a research hotspot in the field of lighting. Existing intelligent lighting systems have achieved automatic perception and adjustment of ambient light by introducing technologies such as sensors, wireless communications, and intelligent algorithms, and automatically adjust light brightness according to preset control strategies to achieve energy saving and efficiency improvement.

[0004] However, the existing intelligent lighting technology is not smart enough to adjust the light, and is unable to dynamically generate matching color parameters according to lighting needs, resulting in the existing intelligent lighting system's lack of adaptability and comfort in complex environments. This situation needs to be further improved. Summary of the invention

[0005] In order to solve the problem that the existing intelligent lighting technology has insufficient adaptability and comfort in complex environments, the present application provides an intelligent lighting adjustment method, an adjustment module and a dimming lamp, which adopt the following technical solutions:

[0006] In a first aspect, the present application provides an intelligent lighting adjustment method, comprising the following steps:

[0007] Real-time collection of current environmental parameters and the coverage of each light in the lighting system;

[0008] Comparing the current environmental parameters with preset environmental parameter thresholds, and preliminarily determining the overall lighting requirement level of the current environment according to the comparison result;

[0009] The environment space is divided into several lighting areas, each lighting area corresponds to the coverage of one or more lights; according to the distribution of personnel positions in each lighting area, the personnel density parameters of each lighting area are calculated;

[0010] Compare the personnel density parameters of each lighting area with the preset density threshold, make regional corrections to the initially determined overall lighting demand level, and obtain the target lighting demand level of each lighting area;

[0011] Inputting the target lighting demand level of each lighting area into a preset color parameter dynamic generation model to generate target color parameters matching the target lighting demand level of each lighting area; the target color parameters include brightness value, color temperature value and RGB value;

[0012] The light is controlled according to the target color parameters of each lighting area to achieve light color conversion.

[0013] By adopting the above technical solution, this application collects the current environmental parameters and lighting coverage information in real time, and compares them with the preset environmental parameter thresholds to preliminarily determine the overall lighting demand level, thereby realizing rapid perception and judgment of environmental lighting needs and improving response speed and control efficiency. Then, through regional division and personnel density calculation, the preliminary lighting needs are corrected according to the distribution of personnel, and the target lighting demand level of each area is obtained, realizing fine-grained zoning control, meeting the differentiated lighting needs of different areas, and improving lighting comfort. Finally, the lighting demand level generates corresponding matching target color parameters, including brightness, color temperature, RGB, etc., realizing precise control of light color, greatly improving the intelligence level of the lighting system.

[0014] Optionally, the training step of the color parameter dynamic generation model includes:

[0015] Obtain historical lighting demand level data and corresponding optimal color parameter data;

[0016] Taking the lighting demand level as input and the corresponding optimal color parameters as labels, a color parameter dynamic generation model is obtained through deep neural network algorithm training.

[0017] By adopting the above-mentioned technical solution, the present application uses historical lighting demand level data and corresponding optimal color parameter data as training samples, and obtains a color parameter dynamic generation model through deep neural network algorithm training, thereby improving the accuracy and adaptability of color parameter generation.

[0018] Optionally, after controlling the light according to the target color parameters of each lighting area to achieve light color conversion, the method further includes the following steps:

[0019] Real-time detection of light color output parameters of each lighting area and comparison with target color parameters;

[0020] If the deviation between the light color output parameter and the target color parameter exceeds a preset threshold, calculating a light color compensation parameter;

[0021] According to the light color compensation parameters, the light control parameters between adjacent lighting areas are dynamically adjusted to achieve a gradual transition and matching of light colors, thereby ensuring the continuity of light colors at the junction of adjacent areas;

[0022] Continuously track changes in environmental parameters and the movement of personnel positions, and update the target lighting demand level and target color parameters of each lighting area in real time.

[0023] By adopting the above technical solution, the present application detects the light color output parameters of each lighting area in real time and compares them with the target color parameters. When it is detected that the deviation between the actual light color output and the target color parameters exceeds the preset threshold, the compensation parameters are calculated and the lighting control parameters are dynamically adjusted to achieve real-time correction and dynamic optimization of the light color output. Between adjacent lighting areas, the lighting control parameters are dynamically adjusted according to the light color compensation parameters to achieve a gradual transition and matching of light colors. It effectively avoids sudden changes and discontinuities in light color at the junction of adjacent areas, and improves the comfort of lighting. In addition, the present application continuously tracks changes in environmental parameters and the movement of personnel positions, and updates the target lighting demand level and target color parameters of each lighting area in real time, thereby achieving dynamic control.

[0024] Optionally, before collecting the current environmental parameters and the coverage of each light in the lighting system in real time, the method further includes the following steps:

[0025] Acquire spatial parameters of the environment, wherein the spatial parameters include the plane layout of the environment and the spatial coordinates of the lamps;

[0026] Based on the spatial parameters, a three-dimensional model of the environment and a lighting model are established;

[0027] The coverage and lighting intensity distribution of each light are calculated based on the three-dimensional model and the light illumination model.

[0028] By adopting the above technical solution, this application digitally describes and parametrically represents the lighting environment by acquiring spatial parameters such as the plane layout of the environment and the spatial coordinates of the lamps, and then establishes a three-dimensional model of the environment and a lighting model based on the acquired spatial parameters. Using the established three-dimensional model and lighting model, the coverage and lighting intensity distribution of each light are calculated through optical calculation and numerical simulation. This helps to achieve more accurate and efficient lighting adjustment, and can achieve a reasonable division of lighting areas, avoiding overlaps or blind spots between areas, and ensuring that each area can obtain the best lighting effect. At the same time, the analysis of lighting intensity distribution provides a reference for subsequent light color compensation.

[0029] Optionally, the method further comprises the following steps:

[0030] Obtain the illumination and color differences between adjacent lighting areas in real time;

[0031] If the illumination difference or color difference between adjacent areas exceeds a preset threshold, a gradient light beam is generated at the junction of the adjacent areas. The gradient light beam is achieved by gradient control of the brightness and color of the lamps in the adjacent areas. The parameters of the gradient control are calculated based on the illumination difference and color difference between the adjacent areas.

[0032] By adopting the above-mentioned technical solution, the present application acquires the illuminance and color differences between adjacent lighting areas in real time, conducts real-time monitoring and quantitative evaluation of the lighting unevenness and color difference problems between areas, and generates a gradient light beam when the illuminance difference or color difference between adjacent areas exceeds a threshold value, thereby achieving a continuous and smooth transition of light intensity and color by gradiently controlling the brightness and color of lamps in adjacent areas.

[0033] Optionally, after continuously tracking the changes in environmental parameters and the movement of personnel positions and updating the target lighting requirement level and target color parameters of each lighting area in real time, the method further includes:

[0034] Determine the behavior patterns and activity rules of personnel according to the changes in the environmental parameters and the movement of personnel positions;

[0035] Determine the current lighting scene mode according to the behavior pattern and activity rule;

[0036] The specific lighting level and specific color parameters of each lighting area corresponding to the current scene mode are obtained, and the target lighting requirement level and target color parameters are updated.

[0037] By adopting the above technical solution, the present application continuously tracks the changes in environmental parameters and the movement of personnel positions, conducts real-time dynamic monitoring of environmental status and personnel behavior, and automatically determines the behavior patterns and activity patterns of personnel based on the changes in environmental parameters and personnel movement data, using behavior recognition and pattern analysis algorithms. Then, based on the behavior patterns and activity patterns of personnel, the current lighting scenario mode is autonomously judged and switched. By pre-defining the corresponding specific lighting level and specific color parameters for each lighting scenario mode, when the current scenario mode is identified, the corresponding parameter configuration is directly called to dynamically update the original target lighting demand level and target color parameters. This ensures that the lighting effect is highly matched with the current scenario and improves the adaptability of the lighting.

[0038] In a second aspect, the present application provides an intelligent lighting adjustment module, comprising:

[0039] Environmental perception unit, used to collect the current environmental parameters and the coverage of each light in the lighting system in real time;

[0040] A lighting demand determination unit, configured to compare the current environmental parameters with a preset environmental parameter threshold, and preliminarily determine the overall lighting demand level of the current environment according to the comparison result;

[0041] An area division unit is used to divide the environment space into a number of lighting areas, each lighting area corresponds to the coverage of one or more lights;

[0042] A personnel density calculation unit, used to calculate the personnel density parameters of each lighting area according to the personnel position distribution in each lighting area;

[0043] A regional demand correction unit is used to compare the personnel density parameter of each lighting area with a preset density threshold, perform regional correction on the initially determined overall lighting demand level, and obtain a target lighting demand level for each lighting area;

[0044] A color parameter generation unit, used to input the target lighting requirement level of each lighting area into a preset color parameter dynamic generation model to generate target color parameters matching the target lighting requirement level of each lighting area; the target color parameters include brightness value, color temperature value and RGB value;

[0045] The lighting control unit is used to control the lighting to achieve light color conversion according to the target color parameters of each lighting area.

[0046] Optionally, also include:

[0047] A light color output parameter detection unit is used to detect the light color output parameters of each lighting area in real time and compare them with the target color parameters;

[0048] a light color compensation parameter calculation unit, configured to calculate a light color compensation parameter if a deviation between the light color output parameter and the target color parameter exceeds a preset threshold;

[0049] A lighting control parameter adjustment unit, used to dynamically adjust the lighting control parameters between adjacent lighting areas according to the light color compensation parameters, to achieve a gradual transition and matching of light colors, and to ensure the continuity of light colors at the junction of adjacent areas;

[0050] The parameter updating unit is used to continuously track the changes in environmental parameters and the movement of personnel positions, and to update the target lighting demand level and target color parameters of each lighting area in real time.

[0051] In a third aspect, the present application provides a dimming lamp, comprising:

[0052] The lamp body is used to mount various light-emitting elements and their driving circuits;

[0053] A communication module, used for performing data communication with the above-mentioned intelligent light adjustment module and receiving the target color parameters sent by the intelligent light adjustment module;

[0054] The control module is used to generate a driving signal for each light-emitting element according to the target color parameter, and output the driving signal to the driving circuit of each light-emitting element.

[0055] In summary, the present application includes at least one of the following beneficial technical effects:

[0056] 1. This application collects the current environmental parameters and lighting coverage information in real time, and compares them with the preset environmental parameter thresholds to preliminarily determine the overall lighting demand level, thereby achieving rapid perception and judgment of environmental lighting needs and improving response speed and control efficiency. Then, through regional division and personnel density calculation, the preliminary lighting needs are corrected according to the personnel distribution to obtain the target lighting demand level for each area, achieving fine-grained zoning control, meeting the differentiated lighting needs of different areas, and improving lighting comfort; finally, the lighting demand level generates corresponding matching target color parameters, including brightness, color temperature, RGB, etc., achieving precise control of light color and greatly improving the intelligence level of the lighting system;

[0057] 2. This application detects the light color output parameters of each lighting area in real time and compares them with the target color parameters. When it is detected that the deviation between the actual light color output and the target color parameters exceeds the preset threshold, the compensation parameters are calculated and the lighting control parameters are dynamically adjusted to achieve real-time correction and dynamic optimization of the light color output. Between adjacent lighting areas, the lighting control parameters are dynamically adjusted according to the light color compensation parameters to achieve a gradual transition and matching of light colors. It effectively avoids sudden changes and discontinuities in light color at the junction of adjacent areas, and improves the comfort of lighting. In addition, this application continuously tracks changes in environmental parameters and the movement of personnel positions, and updates the target lighting demand level and target color parameters of each lighting area in real time to achieve dynamic control;

[0058] 3. This application monitors and quantitatively evaluates the lighting unevenness and color difference problems between areas in real time by acquiring the illumination and color differences between adjacent lighting areas in real time. When the illumination difference or color difference between adjacent areas exceeds a threshold, a gradient light beam is generated. By gradiently controlling the brightness and color of lamps in adjacent areas, a continuous and smooth transition of light intensity and color is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 This is an exemplary flow chart of an intelligent lighting adjustment method according to an embodiment of the present application;

[0060] Figure 2is another exemplary flow chart of an intelligent lighting adjustment method according to an embodiment of the present application;

[0061] Figure 3 is a schematic diagram of an intelligent lighting adjustment module according to an embodiment of the present application;

[0062] Figure 4 It is a structural schematic diagram of a dimming lamp according to an embodiment of the present application. DETAILED DESCRIPTION

[0063] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0064] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0065] The present application provides an intelligent lighting adjustment method, an adjustment module and a dimming lamp. By real-time collection of current environmental parameters and lighting coverage information, the overall lighting demand level is preliminarily determined. Then, through area division and personnel density calculation, the preliminary lighting demand is corrected according to the personnel distribution to obtain the target lighting demand level of each area. Finally, the lighting demand level generates corresponding matching target color parameters, including brightness, color temperature, RGB, etc., thereby realizing precise control of light color and greatly improving the intelligence level of the lighting system.

[0066] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0067] The embodiment of the present application provides a method, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. In this embodiment, the terminal device is an electronic device, but is not limited to this, and can also be a smart tablet, a computer, etc. The terminal device and the server can be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application does not limit this.

[0068] Reference Figure 1 , Figure 1 This is an exemplary flow chart of an intelligent lighting adjustment method according to an embodiment of the present application.

[0069] An intelligent lighting adjustment method comprises the following steps:

[0070] S110, collecting current environmental parameters and the coverage of each light in the lighting system in real time.

[0071] Specifically, the current environmental parameters include illumination value, temperature value, humidity value, personnel activity status, environmental sound, etc. The illumination sensors, temperature and humidity sensors, human infrared sensors, and sound sensors are installed for collection. They are arranged in different areas and at different heights to comprehensively collect environmental parameters.

[0072] Wherein, before step S110, the following steps are also included:

[0073] S111. Acquire spatial parameters of the environment, where the spatial parameters include the plane layout of the environment and the spatial coordinates of the lamps.

[0074] Specifically, use drawing tools to draw a floor plan of the environment in advance according to the size and layout of the actual environment, mark the important space divisions and object placements, assign a unique number to each lamp in advance according to its installation position, and record the spatial coordinates of each lamp.

[0075] S112. Based on the space parameters, a three-dimensional model of the environment and a lighting model are established.

[0076] Specifically, a 3D model of the environment is created based on the acquired plan, and the corresponding lamp model is placed in the 3D model according to the spatial coordinates of the lamp, and key parameters of the lamp are set, such as lamp type, power, light distribution curve, etc. Then the 3D model of the environment and the lamp model are imported into the lighting software to establish the lighting model.

[0077] S113. Calculate the coverage and lighting intensity distribution of each light according to the three-dimensional model and the lighting model.

[0078] Specifically, according to the three-dimensional model and lighting model, a separate lighting calculation is performed for each lamp to obtain the light intensity distribution curve and iso-illuminance curve of the lamp, so as to determine the effective lighting range of the lamp, that is, the area where the light intensity reaches the set threshold. The lighting range of all lamps is projected onto the plane map of the environment to obtain the two-dimensional coverage area of ​​each lamp. The overlapping coverage areas are merged to generate the final light coverage map. Then, the illumination calculation tool is used to calculate the illumination value of each position in the environment to generate a lighting intensity distribution map.

[0079] S120: Compare the current environmental parameters with the preset environmental parameter thresholds, and preliminarily determine the overall lighting requirement level of the current environment according to the comparison result.

[0080] Specifically, the threshold range of the corresponding parameters is set in advance according to different environment types, such as offices, conference rooms, corridors, etc. The threshold setting refers to relevant lighting standards such as the "Architectural Lighting Design Standards", and then stored in the database for subsequent calls. Then, based on the comparison between the current environmental parameters and the preset environmental parameter thresholds, the overall lighting demand level of the current environment is preliminarily determined. In this application, the overall lighting demand level is divided into low, medium, and high levels. By presetting a set of rules, for example, when the illuminance is less than 300lx and the personnel activity status is "no one", the overall lighting demand level is "low".

[0081] S130, dividing the environment space into a number of lighting areas, each lighting area corresponding to the coverage of one or more lights; and calculating the personnel density parameter of each lighting area according to the position distribution of personnel in each lighting area.

[0082] Specifically, the lighting coverage of each lamp is determined according to the floor plan of the environment and the installation position of the lamps. The environmental space is divided into several non-overlapping sub-areas according to the lighting conditions of the lamps. Each sub-area corresponds to the lighting coverage of one or more lamps to ensure that the lighting conditions in each sub-area are relatively uniform. Then the boundary coordinates of the lighting area, the corresponding lamp number, area and other information are stored in a database or configuration file. Then, according to the position of the personnel sensed by the human infrared sensor, for each lighting area, the number of personnel position points inside it is counted to obtain the number of people in the area, and the personnel density parameter is calculated based on the area and number of people in the lighting area.

[0083] S140: Compare the personnel density parameter of each lighting area with a preset density threshold, perform regional correction on the initially determined overall lighting demand level, and obtain a target lighting demand level for each lighting area.

[0084] Specifically, according to different environment types and lighting standards, a threshold range of population density is pre-set. If the population density in a certain area is "high density", the lighting demand level of the area is increased by one level. If the population density in all areas is "low density", the overall lighting demand level is reduced by one level.

[0085] S150 , inputting the target lighting requirement level of each lighting area into a preset color parameter dynamic generation model to generate target color parameters matching the target lighting requirement level of each lighting area.

[0086] The target color parameters include brightness value, color temperature value and RGB value.

[0087] Specifically, the training steps of the color parameter dynamic generation model include: obtaining historical lighting demand level data and corresponding optimal color parameter data; taking the lighting demand level as input and the corresponding optimal color parameter as a label, and obtaining the color parameter dynamic generation model through deep neural network algorithm training. The color parameter dynamic generation model is obtained by using the historical lighting demand level data and the corresponding optimal color parameter data as training samples and the deep neural network algorithm training, thereby improving the accuracy and adaptability of color parameter generation.

[0088] S160, controlling the lighting to achieve light color conversion according to the target color parameters of each lighting area.

[0089] Specifically, the target color parameters of each lighting area are obtained from step S150, including brightness value, color temperature value and RGB value. The obtained target color parameters are associated with the corresponding lighting area, and then the lamp information in each lighting area is obtained from the database or configuration file of the intelligent lighting system, including the type, model, power, control method, etc. of the lamp, as well as the unique identification number of the lamp. According to the type and control method of the lamp, the control interface and protocol of each lamp are determined, and the corresponding control command is generated.

[0090] In the above embodiments, fine-grained zoning control is achieved through the target lighting demand level of each area, meeting the differentiated lighting needs of different areas. In some embodiments, by dynamically adjusting the lighting control parameters of adjacent lighting areas, sudden changes and discontinuities in light color at the junction of adjacent areas are avoided.

[0091] Reference Figure 2 , Figure 2 This is another exemplary flow chart of an intelligent lighting adjustment method according to an embodiment of the present application.

[0092] After step S160, the method further includes:

[0093] S210 , detecting light color output parameters of each lighting area in real time, and comparing them with target color parameters.

[0094] S220: If the deviation between the light color output parameter and the target color parameter exceeds a preset threshold, calculate the light color compensation parameter.

[0095] Specifically, according to the requirements of lighting applications and the performance of lamps, the threshold of light color deviation is preset. The threshold can be an absolute value, such as the color temperature deviation does not exceed 100K, or a relative value, such as the brightness deviation does not exceed 5% of the target value. The calculated deviation value is compared with the preset threshold to determine whether the deviation exceeds the allowable range. If so, the light color compensation parameter is calculated.

[0096] S230. Dynamically adjust the lighting control parameters between adjacent lighting areas according to the light color compensation parameters to achieve a gradual transition and matching of light colors and ensure the continuity of light colors at the junctions of adjacent areas.

[0097] Among them, the adjacent areas of each area are determined according to the spatial layout and topological relationship of the lighting area. The adjacent areas can be areas with adjacent boundaries or adjacent areas within a certain distance. They are pre-stored through structures such as adjacency matrices. In order to avoid over-compensation leading to unstable light color or damage to lamps, it is necessary to limit the compensation parameters, including setting upper and lower limits of compensation parameters, increasing compensation dead zones, limiting compensation rates, etc. The compensation process is gradual, that is, gradually approaching the target value through multiple small adjustments. The light color transition curve is generated according to the light color difference values ​​of adjacent areas and the preset transition time. The transition curve describes the gradual change law of light color parameters in space and time.

[0098] S240, continuously tracking changes in environmental parameters and movement of personnel positions, and updating target lighting demand levels and target color parameters of each lighting area in real time.

[0099] In some embodiments, the corresponding lighting requirement level and color parameters may be set according to the lighting scenario mode. After step S240, the method further includes:

[0100] S241. Determine the behavior patterns and activity patterns of personnel based on changes in environmental parameters and movement of personnel.

[0101] Specifically, environmental sensors are used to continuously monitor changes in parameters such as temperature, humidity, and noise. Changes in environmental parameters are associated with information such as time and location to form a spatiotemporal data set of environmental parameter changes. The environmental parameter change data is analyzed to extract typical change patterns and laws, such as periodic changes and sudden changes. In addition, by tracking the movement of personnel in real time, the personnel location data is associated with information such as time and space to form a spatiotemporal data set of personnel movement trajectories. The personnel movement trajectory data is analyzed to extract typical movement patterns and laws, such as common paths and stay areas. Through data mining and analysis, the behavior patterns and activity laws of personnel are identified.

[0102] S242. Determine the current lighting scene mode based on the behavior pattern and activity rules.

[0103] Specifically, according to lighting application scenarios and design requirements, a set of typical lighting scene modes are pre-defined, such as work mode, rest mode, meeting mode, etc. Each lighting scene mode corresponds to a set of specific lighting parameter settings, such as illumination, color temperature, brightness distribution, etc. Lighting scene modes can be divided and combined according to factors such as space function, usage time, and personnel activities. By establishing a mapping relationship between behavior patterns and lighting scene modes, each behavior pattern is mapped to one or more lighting scene modes, and the activity rules are associated with the lighting scene modes. According to different activity periods and areas, the corresponding lighting scene modes are triggered.

[0104] S243: Obtain specific lighting levels and specific color parameters of each lighting area corresponding to the current scene mode, and update the target lighting requirement level and target color parameters.

[0105] In some embodiments, avoiding sudden changes and discontinuities in light color at the junction of adjacent areas can also be achieved by:

[0106] S250: Obtain the illuminance and color differences between adjacent lighting areas in real time.

[0107] S260: If the illumination difference or color difference between adjacent areas exceeds a preset threshold, a gradient light beam is generated at the boundary of the adjacent areas.

[0108] Among them, the gradient light beam is realized by gradient control of the brightness and color of the lamps in adjacent areas, and the parameters of the gradient control are calculated according to the illumination difference and color difference of adjacent areas.

[0109] Specifically, for pairs of adjacent areas with significant lighting inconsistency, corresponding gradient areas and gradient beams can be generated at their intersections. The gradient area is divided into multiple gradient levels, each level corresponds to different brightness and color values, and between adjacent levels, the brightness and color parameters of the lamps are interpolated to obtain specific control values ​​for each lamp, thereby achieving gradient control.

[0110] The implementation principle of an intelligent lighting adjustment method in an embodiment of the present application is as follows: by real-time collection of current environmental parameters and lighting coverage information, the overall lighting demand level is preliminarily determined, and then through area division and personnel density calculation, the preliminary lighting demand is corrected according to the personnel distribution to obtain the target lighting demand level of each area, and finally the lighting demand level generates corresponding matching target color parameters, including brightness, color temperature, RGB, etc., thereby realizing precise control of light color and greatly improving the intelligence level of the lighting system.

[0111] In the second aspect, the present application provides an intelligent light adjustment module. The intelligent light adjustment module of the present application is described below in combination with the above-mentioned intelligent light adjustment method. Figure 3 , Figure 3 It is a schematic diagram of an intelligent lighting adjustment module according to an embodiment of the present application.

[0112] An intelligent lighting adjustment module, comprising:

[0113] The environment sensing unit 301 is used to collect the current environment parameters and the coverage of each light in the lighting system in real time.

[0114] The lighting demand determination unit 302 is used to compare the current environmental parameters with the preset environmental parameter thresholds, and preliminarily determine the overall lighting demand level of the current environment according to the comparison result;

[0115] The area division unit 303 is used to divide the environment space into a plurality of lighting areas, each lighting area corresponds to the coverage of one or more lights;

[0116] A personnel density calculation unit 304 is used to calculate the personnel density parameters of each lighting area according to the personnel position distribution in each lighting area;

[0117] The regional demand correction unit 305 is used to compare the personnel density parameter of each lighting area with a preset density threshold, perform regional correction on the initially determined overall lighting demand level, and obtain a target lighting demand level for each lighting area;

[0118] The color parameter generation unit 306 is used to input the target lighting demand level of each lighting area into a preset color parameter dynamic generation model to generate target color parameters that match the target lighting demand level of each lighting area; the target color parameters include brightness value, color temperature value and RGB value;

[0119] The light control unit 307 is used to control the light to achieve light color conversion according to the target color parameters of each lighting area.

[0120] Optionally, the module also includes:

[0121] A light color output parameter detection unit 308 is used to detect the light color output parameters of each lighting area in real time and compare them with the target color parameters;

[0122] A light color compensation parameter calculation unit 309, configured to calculate a light color compensation parameter if the deviation between the light color output parameter and the target color parameter exceeds a preset threshold;

[0123] The lighting control parameter adjustment unit 310 is used to dynamically adjust the lighting control parameters between adjacent lighting areas according to the light color compensation parameters, so as to achieve a gradual transition and matching of light colors and ensure the continuity of light colors at the junction of adjacent areas;

[0124] The parameter updating unit 311 is used to continuously track the changes in environmental parameters and the movement of personnel positions, and to update the target lighting demand level and target color parameters of each lighting area in real time.

[0125] Optionally, the module also includes:

[0126] The space parameter acquisition unit 312 is used to acquire the space parameters of the environment, where the space parameters include the plane layout of the environment and the space coordinates of the lamps.

[0127] The model building unit 313 is used to build a three-dimensional model and a lighting model of the environment based on the space parameters.

[0128] The calculation unit 314 is used to calculate the coverage and lighting intensity distribution of each light according to the three-dimensional model and the light illumination model.

[0129] Optionally, the module also includes:

[0130] The scene mode determination unit 315 is used to determine the behavior mode and activity pattern of the personnel according to the changes in environmental parameters and the movement of the personnel's position; and determine the current lighting scene mode according to the behavior mode and activity pattern.

[0131] The level and parameter updating unit 316 is used to obtain the specific lighting level and specific color parameters of each lighting area corresponding to the current scene mode, and update the target lighting demand level and target color parameters.

[0132] Optionally, the module also includes:

[0133] An illumination difference acquisition unit 317, used to acquire the illumination and color differences between adjacent lighting areas in real time;

[0134] The gradient light beam generating unit 318 is configured to generate a gradient light beam at the boundary of adjacent areas if the illumination difference or color difference between adjacent areas exceeds a preset threshold.

[0135] In one embodiment, referring to Figure 4 , the present application provides a dimming lamp, comprising:

[0136] The lamp body 410 is used to mount various light-emitting elements and their driving circuits;

[0137] The communication module 420 is used to perform data communication with the above-mentioned intelligent light adjustment module and receive the target color parameters sent by the intelligent light adjustment module;

[0138] The control module 430 is used to generate a driving signal for each light-emitting element according to the target color parameter, and output the driving signal to the driving circuit of each light-emitting element.

[0139] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0140] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent lighting adjustment method, characterized in that: The steps include: Real-time collection of current environmental parameters and the coverage of each light in the lighting system; Comparing the current environmental parameters with preset environmental parameter thresholds, and preliminarily determining the overall lighting demand level of the current environment according to the comparison results; The environment space is divided into several lighting areas, each lighting area corresponds to the coverage of one or more lights; according to the distribution of personnel positions in each lighting area, the personnel density parameters of each lighting area are calculated; Compare the personnel density parameters of each lighting area with the preset density threshold, make regional corrections to the initially determined overall lighting demand level, and obtain the target lighting demand level of each lighting area; Inputting the target lighting demand level of each lighting area into a preset color parameter dynamic generation model to generate target color parameters matching the target lighting demand level of each lighting area; the target color parameters include brightness value, color temperature value and RGB value; Control the lighting to achieve light color conversion according to the target color parameters of each lighting area; After controlling the light according to the target color parameters of each lighting area to achieve light color conversion, the method further includes the following steps: Real-time detection of light color output parameters of each lighting area and comparison with target color parameters; If the deviation between the light color output parameter and the target color parameter exceeds a preset threshold, calculating a light color compensation parameter; According to the light color compensation parameters, the light control parameters between adjacent lighting areas are dynamically adjusted, and a light color transition curve is generated according to the light color difference values ​​of adjacent lighting areas and the preset transition time, so as to achieve a gradual transition and matching of light colors and ensure the continuity of light colors at the junction of adjacent lighting areas; Continuously track changes in environmental parameters and the movement of personnel positions, and update the target lighting demand level and target color parameters of each lighting area in real time.

2. The intelligent lighting adjustment method according to claim 1, characterized in that: The training steps of the color parameter dynamic generation model include: Obtain historical lighting demand level data and corresponding optimal color parameter data; Taking the lighting demand level as input and the corresponding optimal color parameters as labels, a color parameter dynamic generation model is obtained through deep neural network algorithm training.

3. The intelligent lighting adjustment method according to claim 1, characterized in that: Before the real-time acquisition of the current environmental parameters and the coverage of each light in the lighting system, the method further comprises the following steps: Acquire spatial parameters of the environment, wherein the spatial parameters include the plane layout of the environment and the spatial coordinates of the lamps; Based on the spatial parameters, a three-dimensional model of the environment and a lighting model are established; The coverage and lighting intensity distribution of each light are calculated based on the three-dimensional model and the light illumination model.

4. The intelligent lighting adjustment method according to claim 1, characterized in that: The method further comprises the following steps: Obtain the illumination and color differences between adjacent lighting areas in real time; If the illuminance difference or color difference between adjacent lighting areas exceeds a preset threshold, a gradient light beam is generated at the junction of the adjacent lighting areas. The gradient light beam is achieved by gradient control of the brightness and color of the lamps in the adjacent lighting areas. The parameters of the gradient control are calculated based on the illuminance difference and color difference between the adjacent lighting areas.

5. The intelligent lighting adjustment method according to claim 1, characterized in that: After continuously tracking the changes in environmental parameters and the movement of personnel positions and updating the target lighting demand level and target color parameters of each lighting area in real time, the method further includes: Determine the behavior patterns and activity rules of personnel according to the changes in the environmental parameters and the movement of personnel positions; Determine the current lighting scene mode according to the behavior pattern and activity rule; The specific lighting level and specific color parameters of each lighting area corresponding to the current lighting scene mode are obtained, and the target lighting requirement level and target color parameters are updated.

6. An intelligent lighting adjustment module, characterized in that: include: Environmental perception unit, used to collect the current environmental parameters and the coverage of each light in the lighting system in real time; A lighting demand determination unit, used to compare the current environmental parameters with preset environmental parameter thresholds, and preliminarily determine the overall lighting demand level of the current environment according to the comparison result; An area division unit is used to divide the environment space into a number of lighting areas, each lighting area corresponds to the coverage of one or more lights; A personnel density calculation unit, used to calculate the personnel density parameters of each lighting area according to the personnel position distribution in each lighting area; A regional demand correction unit is used to compare the personnel density parameter of each lighting area with a preset density threshold, perform regional correction on the initially determined overall lighting demand level, and obtain a target lighting demand level for each lighting area; A color parameter generation unit, used to input the target lighting requirement level of each lighting area into a preset color parameter dynamic generation model to generate target color parameters matching the target lighting requirement level of each lighting area; the target color parameters include brightness value, color temperature value and RGB value; A lighting control unit, used to control the lighting to achieve light color conversion according to the target color parameters of each lighting area; A light color output parameter detection unit is used to detect the light color output parameters of each lighting area in real time and compare them with the target color parameters; a light color compensation parameter calculation unit, configured to calculate a light color compensation parameter if a deviation between the light color output parameter and the target color parameter exceeds a preset threshold; A lighting control parameter adjustment unit, used to dynamically adjust the lighting control parameters between adjacent lighting areas according to the light color compensation parameters, and to generate a light color transition curve according to the light color difference values ​​of the adjacent lighting areas and a preset transition time, so as to achieve a gradual transition and matching of light colors, thereby ensuring the continuity of light colors at the junction of adjacent lighting areas; The parameter updating unit is used to continuously track the changes in environmental parameters and the movement of personnel positions, and to update the target lighting demand level and target color parameters of each lighting area in real time.

7. A dimming lamp, characterized in that: include: The lamp body is used to mount various light-emitting elements and their driving circuits; A communication module, used for performing data communication with the intelligent light adjustment module according to claim 6, and receiving the target color parameters sent by the intelligent light adjustment module; The control module is used to generate a driving signal for each light-emitting element according to the target color parameter, and output the driving signal to the driving circuit of each light-emitting element.

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