Self-adaptive intelligent adjustment management method and system for customized home light

Abstract

The invention relates to the technical field of self-adaptive adjustment of customized home light, in particular to a self-adaptive intelligent adjustment management method and system for customized home light. The method comprises the following steps: collecting monitoring data, wherein the monitoring data comprises outdoor illumination information, spectral characteristic information of an indoor target area, illumination demand information and illumination equipment information; the outdoor illumination information comprises spectral distribution and illumination intensity corresponding to the light transmission adjusting equipment; adjusting the opening degrees of different light transmission adjusting devices according to the illumination demand information of the target area; and when the full opening degree of the light transmission adjusting equipment still does not meet the illumination demand information, driving the illumination equipment and the intelligent light transmission adjusting equipment to carry out linkage adjustment, so that the target area reaches the illumination demand threshold value or above. And by feeding back the adjusted illumination performance, the illumination adjustment parameters are optimized in real time, and the optimal illumination performance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of customized home lighting adaptive adjustment, and in particular to a customized home lighting adaptive intelligent adjustment management method and system. Background Art

[0002] With the continuous advancement of science and technology and the increasing demand for living environment comfort, smart home has gradually become an important part of modern family life. In the smart home system, lighting is not only one of the basic functional components, but also greatly affects the atmosphere of the living space and the quality of people's daily life.

[0003] Traditional home lighting systems usually rely on fixed switches and brightness adjustment methods, and cannot be adaptively adjusted according to the different IOT devices in the user's home. This static lighting method is difficult to meet users' high standards for personalization and comfort, especially in different time periods, weather conditions and changing activity scenes, where lighting needs usually vary significantly. Therefore, how to achieve smarter and more personalized lighting adjustment without interfering with users' normal lives has become a key issue that needs to be solved in the smart home field.

[0004] In recent years, with the rapid development of the Internet of Things, sensor technology, and artificial intelligence technology, the intelligence level of smart home lighting systems has continued to improve. Modern smart home lighting not only provides a more convenient user experience, but also makes lighting more efficient and energy-saving. However, although the existing intelligent lighting system can automatically adjust the brightness, color temperature, and color of the light to a certain extent, in the actual adjustment process, it is difficult for the existing system to effectively adjust independently according to the needs of each user for different environmental factors. In particular, when the outdoor lighting factors change, the indoor lighting settings cannot meet the corresponding personalized requirements in a timely and accurate manner, thereby affecting the user's lighting experience and energy-saving effects. In response to this problem, the present invention proposes a customized home lighting adaptive intelligent adjustment management method and system, which can be personalized according to changes in outdoor lighting factors, thereby achieving more energy-saving and accurate lighting performance. Summary of the invention

[0005] The object of the present invention is to provide a customized home lighting adaptive intelligent adjustment management method and system.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] In a first aspect of the present invention, a customized home lighting adaptive intelligent adjustment management method is provided.

[0008] Collect monitoring data, including outdoor lighting information, spectral characteristic information of indoor target areas, lighting demand information and lighting equipment information;

[0009] Outdoor lighting information includes spectral distribution and light intensity corresponding to the light transmission adjustment device;

[0010] According to the lighting demand information of the target area, the openings of different light-transmitting adjustment devices are adjusted respectively;

[0011] When the full opening of the light transmission adjustment device still does not meet the lighting demand information, the lighting device is driven to make linkage adjustments with the intelligent light transmission adjustment device so that the target area reaches above the lighting demand threshold.

[0012] Further, the lighting demand information of N target areas and the lighting information of M lighting devices, as well as the number and spatial distribution information of the lighting devices in the corresponding adjacent areas are obtained respectively; wherein N is a natural number greater than 2; and M is a natural number greater than 1;

[0013] When the lighting demand information of the N-1th target area is inconsistent with the lighting demand information of the Nth target area, the Mth lighting device is turned on;

[0014] According to the lighting demand information of the N-1th target area, select the M-1 lighting devices closest to the target area, and set the lighting parameters of the lighting devices to adopt the first lighting mode;

[0015] According to the lighting requirement information of the Nth target area, the lighting parameters of the Mth lighting device are started and set to adopt the second lighting mode.

[0016] Furthermore, when M is a natural number greater than 3;

[0017] Maintain one or more light-transmitting devices at their full opening state and simultaneously perform the following lighting device controls:

[0018] Turn on the M-2th lighting device and set the lighting parameters of the lighting device to meet the demand threshold of the N-1th target area;

[0019] When the M-2 th lighting device still cannot meet the demand threshold when fully loaded, the M-1 th lighting device is turned on and the lighting parameters of the lighting device are set to meet the demand threshold of the N-1 th target area.

[0020] Furthermore, lighting information includes light intensity and light angle;

[0021] Monitoring data includes: spatial location data, customized home data, activity time data, and control command information;

[0022] Environmental data includes: floor location, community obstruction information, natural light intensity and sun altitude angle; spatial location data includes: lighting equipment angle, lighting equipment light intensity and lighting equipment location;

[0023] The cell obstruction information includes: obstacle type, obstacle color and obstacle volume.

[0024] Furthermore, when the current lighting mode is the first lighting mode,

[0025] Obtain standard monitoring data sets;

[0026] Using a first lighting adjustment model, and obtaining lighting adjustment parameters according to monitoring data in a standard monitoring data set;

[0027] Wherein, the first lighting adjustment model includes:

[0028] The monitoring data is received by using the first input layer; wherein the first input layer is used to perform characterization processing on the monitoring data to obtain monitoring features;

[0029] inputting the monitoring features into the first instruction recognition layer;

[0030] When the first instruction recognition layer recognizes that there is no control instruction in the monitoring feature, the monitoring feature is recorded as a monitoring feature without control instruction; the monitoring feature without control instruction is input into the lighting demand analysis layer without instruction single demand to obtain the current lighting demand analysis vector;

[0031] When the first instruction recognition layer recognizes that the monitoring feature has a control instruction, the monitoring feature is recorded as a monitoring feature with a control instruction; the monitoring feature with a control instruction is input into the lighting demand analysis layer with an instruction single demand to obtain a current lighting demand analysis vector;

[0032] Input the current lighting demand analysis vector into the single demand lighting adjustment parameter calculation layer to obtain the lighting adjustment parameters; wherein the lighting adjustment parameters include: brightness, angle, color temperature, color and lighting mode;

[0033] The lighting adjustment parameters are output through the first output layer.

[0034] Another aspect of the present invention is a customized home lighting adaptive intelligent adjustment management system.

[0035] The system includes: a three-dimensional space construction unit, which is used to construct a three-dimensional space with a maximum lighting range of a lamp; a collection and monitoring unit, which is used to monitor outdoor lighting information, spectral characteristic information of an indoor target area, lighting demand information, lighting equipment information and three-dimensional space; a data collection unit, which is used to collect monitoring data of the three-dimensional space; a data processing unit, which is used to combine outdoor lighting information, spectral characteristic information of an indoor target area, lighting demand information and lighting equipment information and construct a standard monitoring data set; a lighting mode judgment unit, which is used to judge the current lighting mode; a lighting adjustment parameter calculation unit, which is used to calculate lighting adjustment parameters according to the current lighting mode; a lighting adjustment unit, which is used to adjust the lamp according to the lighting adjustment parameters; a lighting adjustment parameter optimization unit, which is used to optimize the lighting adjustment parameters according to the lighting performance of the lamp; and a display unit, which is used to display the current lighting mode and lamp parameters of the lamp.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention proposes an adaptive intelligent adjustment management method. Through two-stage adjustment logic, comprehensive data collection and linkage adjustment mechanism, it mainly realizes the technical effects of giving priority to energy saving by utilizing natural light, intelligently supplementing artificial light on demand, ensuring basic lighting needs, preliminary zoning management, and improving the coordination and comfort of the overall light environment. It lays a basic framework for more complex adaptive lighting strategies and embodies a balanced design concept that takes into account energy efficiency and user experience while meeting needs.

[0038] 2. The present invention proposes a matching rule between lighting demand and lighting equipment. When the specific demand information is inconsistent, the lighting equipment is grouped and differentially controlled, and "personalized lighting" is achieved by selectively controlling some lighting equipment based on specific rules. When natural light energy saving still cannot meet the demand, by setting different lighting modes (first lighting mode and second lighting mode) for two groups of equipment, intelligent adjustment can be achieved step by step according to the demand characteristics of different areas.

[0039] 3. The present invention adaptively adjusts the lighting according to the number of different users, and uses the first and second lighting adjustment models to optimize for different customized home data and environmental data. When it is detected that the target area has diverse and inconsistent needs, the system automatically adjusts the lighting adjustment parameters according to the real-time monitoring data and environmental information to meet the optimal system lighting needs. This adaptive adjustment method can improve energy efficiency, provide the best lighting solution when needs conflict, avoid unnecessary energy waste, and ensure that each target area can enjoy the best lighting performance, enhancing comfort and convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1A flowchart of a customized home lighting adaptive intelligent adjustment management method provided by an embodiment of the present invention;

[0041] Figure 2 A structural diagram of a customized home lighting adaptive intelligent adjustment management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] With the continuous advancement of technology, intelligent control of customized home lighting has gradually become popular. With the help of the Internet of Things, big data and artificial intelligence technology, smart lights can automatically adjust the brightness according to environmental factors such as indoor temperature, humidity, and light. However, although the existing smart lighting system can achieve automatic adjustment to a certain extent, there are still some shortcomings. Especially in a multi-user environment, it is difficult for the existing system to adjust independently according to the needs of each user. The system is often unable to flexibly respond to the preferences, activities and needs of different users, resulting in the inability of lighting settings to meet personalized requirements in a timely and accurate manner, thus affecting the overall lighting experience.

[0044] To this end, the present invention proposes a customized home lighting adaptive intelligent adjustment management method and system, which can automatically adjust the lighting adjustment parameters of lamps according to the change in the number of users to better meet the personalized needs of different users. The following two embodiments will be used to explain in detail.

[0045] Embodiment 1:

[0046] In a modern open smart home environment, which includes a large open area divided into three main target areas and equipped with four smart lighting devices, the overlapping area of ​​different target areas is no more than one third of the total area of ​​the original target areas.

[0047] For example, an open space of 100 square meters includes a living room area (target area 1, N=1), a dining area (target area 2, N=2) and a reading corner (target area 3, N=3). There are two large French windows on the south side of the space, covering the living room and dining area respectively. Each window is equipped with a set of smart electric curtains (light transmission adjustment devices 1 and 2). There are 4 lighting devices:

[0048] The main chandelier in the living room is located in the center of the living room area. It has a power of 50W, an adjustable color temperature of 2700K-6500K, an adjustable brightness of 0-100%, and a fixed beam angle of 120 degrees. It is the main lighting equipment.

[0049] The dining area chandelier is located above the dining table. It has a power of 30W, an adjustable color temperature of 3000K-5000K, an adjustable brightness of 0-100%, and a fixed beam angle of 60 degrees. It is a lighting device for accent lighting.

[0050] The reading corner floor lamp is located next to the sofa in the reading corner. It has a power of 15W, an adjustable color temperature of 2700K-6000K, an adjustable brightness of 0-100%, and an electrically adjustable beam angle (30-90 degrees). It is a lighting device for task / atmosphere lighting.

[0051] The living room auxiliary spotlight is located on the ceiling of the living room near the reading corner. It has a power of 10W, a fixed color temperature of 4000K, an adjustable brightness of 0-100%, a fixed beam angle of 30 degrees, and an adjustable angle. It is a lighting device for auxiliary / decorative lighting.

[0052] The lighting information is stored in the system database, including the location coordinates (x, y, z), initial installation angle, rated power, adjustable parameter range (brightness, color temperature, beam angle), current status (on / off, brightness, color temperature, angle) and other information of each lamp.

[0053] The light-transmitting devices are the smart curtains for the floor-to-ceiling windows in the living room and the floor-to-ceiling windows in the dining area. The smart curtains for the floor-to-ceiling windows in the living room control the natural light entering the living room area (target area 1). The opening is adjustable from 0 to 100%. The smart curtains for the floor-to-ceiling windows in the dining area control the natural light entering the dining area (target area 2). The opening is adjustable from 0 to 100%.

[0054] A customized home lighting adaptive intelligent adjustment management method, comprising:

[0055] Collecting monitoring data, the monitoring data including outdoor lighting information, spectral characteristic information of indoor target areas, lighting demand information and lighting equipment information;

[0056] Outdoor lighting information includes spectral distribution and light intensity corresponding to the light transmission adjustment device;

[0057] According to the lighting demand information of the target area, the openings of different light-transmitting adjustment devices are adjusted respectively;

[0058] When the full opening of the light transmission adjustment device still does not meet the lighting demand information, the driving lighting device and the intelligent light transmission adjustment device are linked to adjust so that the target area reaches above the lighting demand threshold.

[0059] Customized home lighting refers to a lighting system that is designed, deployed and controlled according to the user's personalized needs and the characteristics of the home environment. It usually includes multiple types of independently controllable smart lamps.

[0060] Adaptive intelligent adjustment management refers to a management method in which the system can automatically perceive environmental changes, user status and needs, and dynamically adjust lighting parameters (brightness, color temperature, angle, color, etc.) based on intelligent algorithms, eliminating the need for or reducing manual intervention by users.

[0061] The three-dimensional space of the maximum lighting range of a lamp does not refer to the lighting range of a single lamp, but to the three-dimensional digital representation of the indoor physical space that can be covered and affected by the entire intelligent lighting system. It is a three-dimensional environmental model that includes the room geometry (walls, ceilings, floors), fixed obstacles (furniture), and the precise position and orientation information of all controlled lamps. This model is the basis for spatial perception, lighting simulation and precise control. Its "maximum lighting range" can be understood as the theoretical spatial boundary that all lamps can illuminate together with their maximum capabilities (maximum brightness, widest angle).

[0062] Monitoring data refers to the original or preliminarily processed data set collected by the system through various sensors in real time or periodically, reflecting the current environmental status, user conditions, equipment status and external influences. It has a wide range and is the basis for system decision-making.

[0063] The standard monitoring data set refers to the structured data after cleaning, alignment, format conversion and feature extraction by the data processing unit. Its purpose is to convert the diverse raw data into a unified format suitable for input into subsequent intelligent models (such as the first / second lighting adjustment model) for analysis and calculation.

[0064] Lighting adjustment parameters refer to the specific instruction parameter values ​​finally calculated and used to directly control each smart lamp.

[0065] Further, respectively obtain the lighting demand information of N target areas and the lighting information of M lighting devices, as well as the number and spatial distribution information of the lighting devices in the corresponding adjacent areas; wherein N is a natural number greater than 2; and M is a natural number greater than 1;

[0066] When the lighting requirement information of the N-1th target area is inconsistent with the lighting requirement information of the Nth target area, turning on the Mth lighting device;

[0067] According to the lighting demand information of the N-1th target area, select the M-1 lighting devices closest to the target area, and set the lighting parameters of the lighting devices to adopt the first lighting mode;

[0068] According to the lighting requirement information of the Nth target area, the lighting parameters of the Mth lighting device are started and set to adopt the second lighting mode.

[0069] In an open space including a living room (N=1), a dining area (N=2), and a reading corner (N=3), 4 smart lighting devices (M=4) and 2 smart curtains (light transmission adjustment devices) are installed. At 15:00 one afternoon, the sun was shining brightly outside, but the clouds were changing. User A entered the living room (N=1) and expressed the need for a bright environment for cleaning through the voice assistant. Later, user B entered the reading corner (N=3), and his smart bracelet detected the reading state. The system assumed that he needed "warm, concentrated reading light". There was no one in the dining area (N=2). The system responded in the following stages:

[0070] Collect monitoring data. The system obtains the current light intensity (e.g. 8000 lux) and spectral information through outdoor light sensors; confirms the presence of people in the living room and reading corner through indoor sensors, and receives the explicit lighting requirements of user A (high brightness, cool color temperature) and the implicit lighting requirements of user B (medium brightness, warm color temperature, focus). At the same time, the system obtains the current status (all in off / closed state) and capacity information of 4 lighting devices (living room main light, dining room light, reading light, auxiliary spotlight) and 2 curtains (living room curtains, dining room curtains).

[0071] Natural light is adjusted first. For the living room area (N=1), the system determines that this area corresponds to living room curtain 1. Based on user A's high brightness requirement and sufficient outdoor light, the system instructs living room curtain 1 to be fully opened (opening 100%). For the reading corner (N=3), there is no directly corresponding light transmission adjustment device in this area, so this step is skipped.

[0072] Lighting demand assessment and linkage triggering. The system measured through the light sensor in the living room area and found that even if curtain 1 was fully open, the indoor lighting still did not reach the threshold required by user A due to cloud cover or building structure (for example, the target was 1000 lux, but the actual measurement was only 600 lux). At the same time, the reading corner (N=3) itself has no natural light supplement and requires artificial lighting. The system determines that it is necessary to start the artificial lighting equipment for linkage adjustment.

[0073] For multi-zone differentiated artificial lighting adjustment, the system recognizes that the lighting demand information of the N-1th target area (assuming the living room area N=1 detected first) and the Nth target area (the reading corner N=3 detected later) are inconsistent.

[0074] For the living room area requirements (applying the first lighting mode logic, N=1 at this time): The system selects M-1=3 lighting devices closest to the living room area. According to the spatial layout and lamp characteristics, the main living room lamp, the dining room lamp (because its light may partially affect the living room) and the auxiliary spotlight may be selected. According to user A's "bright and clean" needs, the system calculates and sets the lighting parameters of these three lamps (for example, the main lamp 1 is turned on to 80% brightness and 5500K color temperature; the dining room lamp 2 is turned on to 30% brightness and 5000K color temperature as a supplement; the auxiliary spotlight 4 is adjusted to point to the living room area, turned on to 60% brightness and 4500K color temperature), with the goal of making the total lighting in the living room area reach the required threshold of 1000 lux.

[0075] For the reading corner requirement (applying the second lighting mode logic, N=3): The system starts and sets the Mth lighting device (here, it is understood as the device that best meets the requirements of the Nth area, i.e., the reading light). According to the user B's requirement of "warm and focused reading", the lighting parameters of reading light 3 are calculated and set (for example, turn on to 70% brightness, 3000K color temperature, and adjust the beam angle to a narrower 40 degrees to accurately illuminate the reading area).

[0076] Feedback and optimization. The system continuously monitors the actual lighting effects of each area, and may receive fine-tuning instructions from the user or evaluate lighting uniformity, glare, etc. through visual sensors. Based on these feedbacks, the lighting adjustment parameter optimization unit will fine-tune the parameters of each lamp to achieve the best lighting performance and user satisfaction. For example, if it is found that the auxiliary spotlight 4 interferes with the reading angle, its brightness will be appropriately reduced or the angle will be adjusted.

[0077] The method proposed in this application builds a customized home lighting solution that is highly adaptable, intelligent, and personalized by integrating natural light management, multi-region differentiated artificial light control, device linkage, and data-driven intelligent algorithms. Its core innovation is to break the limitations of traditional lighting control, realize the transformation from passive response to active prediction, from single control to collaborative optimization, and from standardization to personalization, significantly improve user experience, energy efficiency, and management convenience, and has important technical value and market application prospects.

[0078] The current lighting mode can also be set by counting the layout of lamps. The lighting mode judgment unit judges the current scene based on the processed standard monitoring data set, especially the number of people in the character data. The lighting adjustment parameters are obtained according to the current lighting mode. After determining the first lighting mode, the lighting adjustment parameter calculation unit of the system starts the first lighting adjustment model optimized specifically for the single-person scene to calculate the specific lighting adjustment parameters.

[0079] When M is a natural number greater than 3;

[0080] Maintaining the one or more light-transmitting adjustment devices at their full opening state and simultaneously performing the following lighting device control:

[0081] Turn on the M-2th lighting device and set the lighting parameters of the lighting device to meet the demand threshold of the N-1th target area;

[0082] When the M-2 th lighting device still cannot meet the demand threshold when fully loaded, the M-1 th lighting device is turned on and the lighting parameters of the lighting device are set to meet the demand threshold of the N-1 th target area.

[0083] When it is evening, natural light can no longer meet the indoor lighting needs. User A sets the "cinema mode" requirement (low brightness, very warm color temperature) through the mobile app in the living room area. The system records this as the requirement of the first target area.

[0084] Then, user B enters the adjacent reading corner (N=3) and needs to read. The system detects the "reading mode" requirement (medium to high brightness, neutral color temperature, focused beam) through user configuration or sensors. The system records this as the requirement for the second target area.

[0085] The system compares the brightness, color temperature, and illumination distribution of user A and user B. This condition is satisfied when the illumination requirement information of the N-1th target area is inconsistent with the illumination requirement information of the Nth target area.

[0086] Perform the following steps:

[0087] Turn on the Mth lighting device: Based on preset logic or real-time judgment, the system determines that reading light 3 is the "Mth" key device that meets the needs of the reading corner (N=3) (the "M" here tends to refer to the device or devices that are specifically started or adjusted to meet the needs of the Nth area, rather than simply the last one in the number). The system sends a command to start the reading light.

[0088] According to the N-1th target area, the M-1 lighting devices closest to the target area are selected, and the first lighting mode is adopted: the "cinema mode" requirement for the living room area (N=1).

[0089] The system calculates the M-1=3 lamps closest to the living room area (N=1). Based on the spatial layout, the main lights in the living room, the lights in the dining room (because the open space is closer), and the auxiliary spotlights (located closer) are selected.

[0090] The system applies the algorithm of the "first lighting mode" (for example, defined as a mode that focuses on creating an atmosphere and is low in distraction) to calculate the parameters of the three lights to meet the needs of user A. For example: the main light is set to 10% brightness and 2700K; the restaurant light is set to off or very low brightness; the auxiliary spotlight is adjusted to avoid irradiating the reading area and is set to 5% brightness and 2700K.

[0091] According to the Nth target area, the lighting parameters of the Mth lighting device are started and set to adopt the second lighting mode:

[0092] In response to the "reading mode" requirement of the reading angle (N=3), the system applies the algorithm of the "second lighting mode" (for example, a mode that focuses on functionality, high color rendering, and focus) to calculate the parameters of the activated reading light (i.e., the "Mth" device). For example: the reading light is set to 70% brightness, 4000K color temperature, and the beam angle is adjusted to 35 degrees to accurately cover the reading area.

[0093] The present invention specifically solves the pain point of conflicting lighting requirements in multi-user and multi-task scenarios by introducing a set of logic for identifying conflicts, partitioning, grouping, and using different modes for differentiated control. This not only greatly improves the level of personalized services and user experience, but also makes the adaptability, coordination, and intelligence of the entire intelligent lighting system in complex application scenarios reach a new level, fully demonstrating its technological advancement.

[0094] Embodiment 2:

[0095] The lighting information includes lighting intensity and lighting angle;

[0096] The monitoring data includes: spatial location data, customized home data, activity time data and control instruction information;

[0097] The environmental data includes: floor location, cell obstruction information, natural light intensity and sun altitude angle; the spatial location data includes: lighting device angle, lighting device light intensity and lighting device location;

[0098] The cell obstruction information includes: obstacle type, obstacle color and obstacle volume.

[0099] Based on the first embodiment, when the outdoor weather turns cloudy or the building is severely blocked and the natural light is insufficient, the system confirms that the target area lighting cannot be met by natural light even if curtains 1 and 2 are kept 100% open. First, turn on the M-2 lighting device to meet the demand threshold of the N-1 target area. The threshold here can be set to 90%-110% of the lighting intensity.

[0100] Based on internal priorities or efficiency evaluation, the system designates the main living room light as the "M-2" device (i.e., the preferred artificial light source) that meets the high brightness requirements of the living room area (N=1); the system sets the parameters of the main living room light to try to meet the 1500lux requirement. Assume that the maximum output of the main light can provide 1000lux of light in this space. The system sets it to 100% brightness and 6000K color temperature.

[0101] When the full load of the M-2 lighting device still cannot meet the demand, the M-1 lighting device is turned on. Specifically, when the system detects that the main light in the living room has reached 100% full load output, the current total illuminance (natural light + main light 1) is measured by the light sensor in the target area as 150lux+1000lux=1150lux. This is still lower than the 1500lux threshold required by the user.

[0102] The system designates the auxiliary spotlight as the "M-1th" device (i.e., the secondary supplementary light source).

[0103] The system calculation also requires an additional 1500 - 1150 = 350 lux. Set the parameters of the auxiliary spotlight (adjust the angle to point to the work area, set the appropriate brightness, and the color temperature to 6000K) to provide an additional 350 lux.

[0104] The "second lighting mode" operates in parallel to control the reading light (i.e., the "Mth" device) to provide 500 lux, 3500K lighting.

[0105] The refined design concept of the present invention in dealing with complex lighting needs, by introducing a hierarchical and progressive, on-demand artificial light source activation mechanism, focuses on deeply meeting the high requirements of the priority area (N-1 area), which not only significantly improves the system's illumination guarantee capability in high-demand scenarios, but also brings positive effects such as energy utilization optimization and system response smoothing, and provides potential space for future equipment management.

[0106] Embodiment 3

[0107] On the basis of Example 1, the outdoor environment information remains unchanged. When the system calculates parameters for the reading light of the reading angle (N=3), it not only needs to determine the target light intensity (for example, output 70% brightness to achieve 500 lux), but also needs to set its light angle (for example, adjust the electric beam angle to 40 degrees to focus on the reading area). The system collects the following data: Spatial location data, the system database stores the exact X, Y, Z coordinates of each lamp and sensor in the room. For example, the main light in the living room is located at (2.5, 3.0, 2.8) meters. The system monitors the current light intensity of the reading lamp in real time, which is set to 70% and the angle is 40 degrees.

[0108] To customize home data, the system records the layout of the 100-square-meter space, marking the scope of the living room, dining area, and reading corner, the location and size of the windows, and the approximate location and height of furniture (such as sofas and dining tables), which may affect the spread of light.

[0109] Activity time data, through long-term monitoring, the system may learn that user B usually spends time in the reading corner (N=3) between 8pm and 9pm on weekdays. The system can use this information for pre-adjustment or optimization.

[0110] Control command information: When user A says "dim the lights in the living room" by voice, the command is captured and used as part of the monitoring data, triggering the corresponding adjustment action.

[0111] Environmental data includes floor location, cell obstruction information, natural light intensity, and sun altitude angle.

[0112] Floor location, the example is located on the 5th floor of a building, which is relevant for assessing the impact of shading from lower levels (such as garden trees) or higher levels (neighboring tall buildings).

[0113] The system database records the information of obstructions in the residential area. It is recorded that the south window (affecting the living room N=1 and the dining room N=2) is facing a high-rise residential building (obstacle type: building; obstacle color: light gray; obstacle volume: approximate size or impact angle range).

[0114] Natural light intensity: The sensor installed outdoors reports the current light intensity as 6000 lux in real time.

[0115] The solar altitude angle, based on the current date and time (2025-04-15 16:27) and the geographical location of Singapore, the system calculates that the solar altitude angle is approximately 35 degrees and the azimuth angle is approximately 290 degrees in the northwest direction.

[0116] Community obstruction information: The record of the residential building on the south side is: "Type: high-rise residential building, Color: light gray, Volume / Impact: Partial shadow is created on the living room area on the 5th floor during 14:00-16:00 in the afternoon in winter."

[0117] By using the solar altitude angle, azimuth angle, and information about the obstructions of the residential buildings to the south, the system can more accurately predict how much natural light can actually pass through the living room windows at a certain time in the afternoon (even if the curtains are fully open), and thus more accurately determine how much artificial light (from the main living room light 1, the dining room light 2, and the auxiliary spotlight 4) is needed to meet the needs of user A. At the same time, knowing the position and angle of the reading light can ensure that its light mainly covers the reading corner, reducing light pollution in the living room area.

[0118] Furthermore, the system adopted by the present invention includes: a three-dimensional space construction unit, which is used to construct a three-dimensional space of the maximum lighting range of the lamp; a collection and monitoring unit, which is used to monitor outdoor lighting information, spectral characteristic information of indoor target areas, lighting demand information, lighting equipment information and three-dimensional space; a data collection unit, which is used to collect monitoring data of the three-dimensional space; a data processing unit, which is used to combine outdoor lighting information, spectral characteristic information of indoor target areas, lighting demand information and lighting equipment information and construct a standard monitoring data set; a lighting mode judgment unit, which is used to judge the current lighting mode; a lighting adjustment parameter calculation unit, which is used to calculate lighting adjustment parameters according to the current lighting mode; a lighting adjustment unit, which is used to adjust the lamp according to the lighting adjustment parameters; a lighting adjustment parameter optimization unit, which is used to optimize the lighting adjustment parameters according to the lighting performance of the lamp; and a display unit, which is used to display the current lighting mode and lamp parameters of the lamp.

[0119] 3D space construction unit: When the system is first deployed, a 3D digital model containing the geometric information of the living room, dining room, and reading corner, the location of windows, and the precise installation locations (X, Y, Z coordinates) of lamps (1-4) and curtains (1-2) may be constructed through software tools using the floor plan uploaded by the user or through the AR scanning function of the mobile phone app. This model is stored in the system's main controller or cloud database.

[0120] Data collection and monitoring unit: This is a logical coordination center responsible for scheduling and managing all information sources. It instructs the data collection unit to read the value of a specific sensor, query the status of the lamp, receive input from the user's app or voice assistant, and obtain external weather and time information.

[0121] Data Acquisition Unit: This includes the physical hardware and interface software:

[0122] Hardware: outdoor light sensors, indoor brightness and temperature sensors distributed in various areas (living room, dining room, reading corner), presence sensors (such as PIR or millimeter wave radar), and communication modules (such as Zigbee / Wi-Fi gateways) connecting lamps and curtain controllers.

[0123] Software interface: AP1 for querying weather services, interface for receiving App / voice commands, driver for polling device status. For example, it will periodically read the sensor data (illuminance, color temperature) installed on the ceiling of the reading corner and associate the data with its position in the 3D model.

[0124] Data processing unit: Usually a software module running on the main controller or cloud. It receives the raw data stream from the data acquisition unit, performs data cleaning (denoising), time alignment, format conversion, and feature extraction, and finally builds a standardized data structure (Standard Monitoring Data Set) for use by subsequent units.

[0125] Lighting mode judgment unit: software logic module. Based on the processed data (e.g., user A is detected in the living room and user B is in the reading corner), it is determined that the current scene is a multi-user scene. Further analysis of the needs (if conflicting needs are found) determines that the system should enter the "second lighting mode". If only user B is detected, it is determined to be the "first lighting mode".

[0126] Lighting adjustment parameter calculation unit: core algorithm engine (software module). It receives the "current lighting mode" output by the mode judgment unit and the standard data provided by the data processing unit.

[0127] Lighting adjustment unit: software driver and hardware interface. Receive the parameter list output by the calculation unit, translate it into commands that can be understood by specific devices (such as Zigbee ZCL commands, MQTT messages), and send it to the controller of the lamp through the corresponding communication module (such as Zigbee gateway).

[0128] Lighting adjustment parameter optimization unit: A software module that may include a feedback training mechanism for machine learning. It compares the target parameters output by the "lighting adjustment parameter calculation unit" (such as the target illuminance of 500 lux) and the actual adjusted results fed back by the "data acquisition unit" (such as the actual measured 480 lux). Based on the difference and historical performance, the weights or rules of the internal model of the "calculation unit" are adjusted in the hope of being more accurate in the future.

[0129] Display unit: User interface, which can be a smart panel on the wall, a mobile phone app or a smart TV interface. It obtains the current lighting mode and the parameters of each main lamp (brightness, color temperature, etc.) from the system and displays them in a user-friendly way.

[0130] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A customized home lighting adaptive intelligent adjustment management method, characterized in that: include: Collecting monitoring data, the monitoring data including outdoor lighting information, spectral characteristic information of indoor target areas, lighting demand information and lighting equipment information; Outdoor lighting information includes spectral distribution and light intensity corresponding to the light transmission adjustment device; According to the lighting demand information of the target area, the openings of different light-transmitting adjustment devices are adjusted respectively; When the full opening of the light transmission adjustment device still does not meet the lighting demand information, the lighting device is driven to make linkage adjustments with the intelligent light transmission adjustment device so that the target area reaches above the lighting demand threshold.

2. According to claim 1, a customized home lighting adaptive intelligent adjustment management method is characterized by: Obtain the lighting demand information of N target areas and the lighting information of M lighting devices, as well as the number and spatial distribution information of lighting devices in the corresponding adjacent areas; wherein N is a natural number greater than 2; and M is a natural number greater than 1; When the lighting requirement information of the N-1th target area is inconsistent with the lighting requirement information of the Nth target area, turning on the Mth lighting device; According to the lighting demand information of the N-1th target area, select the M-1 lighting devices closest to the target area and set the lighting parameters of the lighting devices; According to the lighting requirement information of the Nth target area, the lighting parameters of the Mth lighting device are started and set.

3. According to claim 2, a customized home lighting adaptive intelligent adjustment management method is characterized by: When M is a natural number greater than 3; Maintain one or more light-transmitting devices at their full opening state and simultaneously perform the following lighting device controls: Turn on the M-2th lighting device and set the lighting parameters of the lighting device to meet the demand threshold of the N-1th target area; When the M-2 th lighting device still cannot meet the demand threshold when fully loaded, the M-1 th lighting device is turned on and the lighting parameters of the lighting device are set to meet the demand threshold of the N-1 th target area.

4. According to claim 3, a customized home lighting adaptive intelligent adjustment management method is characterized by: The lighting information includes lighting intensity and lighting angle; The monitoring data includes: spatial location data, customized home data, activity time data and control instruction information; The environmental data includes: floor location, cell obstruction information, natural light intensity and sun altitude angle; the spatial location data includes: lighting device angle, lighting device light intensity and lighting device location; The cell obstruction information includes: obstacle type, obstacle color and obstacle volume.

5. According to claim 2, a customized home lighting adaptive intelligent adjustment management method is characterized in that: When the current lighting mode is the first lighting mode, Obtain standard monitoring data sets; Using a first lighting adjustment model, and obtaining lighting adjustment parameters according to monitoring data in a standard monitoring data set; Wherein, the first lighting adjustment model includes: The monitoring data is received by using a first input layer; wherein the first input layer is used to perform characterization processing on the monitoring data to obtain monitoring features; inputting the monitoring characteristics into a first instruction recognition layer; When the first instruction recognition layer recognizes that the monitoring feature does not have a control instruction, the monitoring feature is recorded as a monitoring feature without a control instruction; the monitoring feature without a control instruction is input into the lighting demand analysis layer without an instruction single demand to obtain a current lighting demand analysis vector; When the first instruction recognition layer recognizes that the monitoring feature has a control instruction, the monitoring feature is recorded as a monitoring feature with a control instruction; the monitoring feature with a control instruction is input into the lighting demand analysis layer with instruction single demand to obtain a current lighting demand analysis vector; Input the current lighting demand analysis vector into the single demand lighting adjustment parameter calculation layer to obtain the lighting adjustment parameters; wherein the lighting adjustment parameters include: brightness, angle, color temperature, color and lighting mode; The lighting adjustment parameters are output through the first output layer.

6. A customized home lighting adaptive intelligent adjustment management system, using the customized home lighting adaptive intelligent adjustment management method as claimed in claim 4 or 5, characterized in that: The system includes: a three-dimensional space construction unit, which is used to construct a three-dimensional space with a maximum lighting range of a lamp; a collection and monitoring unit, which is used to monitor outdoor lighting information, spectral characteristic information of an indoor target area, lighting demand information, lighting equipment information and the three-dimensional space; a data collection unit, which is used to collect monitoring data of the three-dimensional space; a data processing unit, which is used to combine outdoor lighting information, spectral characteristic information of an indoor target area, lighting demand information and lighting equipment information and construct a standard monitoring data set; a lighting mode judgment unit, which is used to judge the current lighting mode; a lighting adjustment parameter calculation unit, which is used to calculate lighting adjustment parameters according to the current lighting mode; a lighting adjustment unit, which is used to adjust the lamp according to the lighting adjustment parameters; a lighting adjustment parameter optimization unit, which is used to optimize the lighting adjustment parameters according to the lighting performance of the lamp; and a display unit, which is used to display the current lighting mode and lamp parameters of the lamp.

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