Multi-user and multi-biological intent coordinated lighting control system and method thereof

By processing and analyzing multimodal sensor data, the lighting needs of multiple users and multiple organisms are identified, and precise lighting control schemes are generated. This solves the problem of inaccurate lighting response in multi-user environments and achieves stable and coordinated lighting control.

CN122069627BActive Publication Date: 2026-06-19BWEETECH ELECTRONICS TECH (SHANGHAI) CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BWEETECH ELECTRONICS TECH (SHANGHAI) CO LTD
Filing Date
2026-04-22
Publication Date
2026-06-19

Smart Images

  • Figure CN122069627B_ABST
    Figure CN122069627B_ABST
Patent Text Reader

Abstract

This invention discloses a multi-user and multi-biological intent coordinated lighting control system and method, specifically relating to the fields of smart home and smart lighting technology. The method involves a control terminal receiving raw sensing data uploaded by multimodal sensor components, forming unified temporal sensing data, a subject-level observation chain, and a subject-level state set; identifying the activity intents of each subject and converting them into lighting demand items; calculating the overall quantity of the subject's lighting demand to filter valid lighting demand items; further calculating the coordinated execution priority overall quantity; sorting and hierarchically processing multiple valid lighting demand items to generate a target lighting control scheme; and sending control commands to the lighting equipment; updating the system during execution based on luminaire feedback status and environmental feedback information. This system can improve the accuracy, stability, and coordination of lighting control in multi-subject coexistence scenarios.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the field of smart home and smart lighting technology, and more specifically, to a multi-user and multi-biological intent coordinated lighting control system and method. Background Technology

[0002] With the development of smart home and smart lighting technologies, lighting control methods have gradually evolved from traditional manual control to automatic control based on sensor detection and preset rules. Existing smart lighting solutions are typically applied in residential spaces, shared family spaces, or multi-functional activity spaces. These solutions involve installing human body sensors, ambient light detectors, and control terminals within the target space. Based on the entry, exit, or stay status of people, or preset scene modes, the solutions automatically turn corresponding lights on or off, adjust brightness, or adjust color temperature to achieve automated control of basic lighting.

[0003] In the existing solutions mentioned above, the control is mostly based on single-subject triggering logic or overall scene linkage logic. That is, when someone enters the target area, there is human activity, or the ambient illuminance changes, the corresponding lights are directly controlled according to preset rules. This type of solution can achieve basic lighting automation in single-person activities or single scenes. However, in shared family spaces or multi-functional activity spaces, there are often multiple users and multiple biological objects such as pets. The activity states of different subjects vary in different areas and at different times, and their corresponding lighting needs are also different. For example, some subjects may be reading, resting, or engaging in companionship activities, while others may be passing through, staying briefly, or having pets pass by. If a single-subject triggering method or an overall scene control method is still used in this case, it is easy to mix up the lighting needs of different subjects.

[0004] Therefore, in application scenarios where multiple subjects coexist and their activity states dynamically change, existing technologies still struggle to accurately distinguish the actual lighting needs of each subject. They also fail to simultaneously meet the lighting requirements of the target area while considering the disturbances to the current light environment of other subjects, easily leading to inaccurate lighting response, unstable control results, and insufficient overall coordination. Therefore, it remains necessary to provide a multi-user and multi-biological intent coordinated lighting control system and method. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a multi-user and multi-biological intention coordinated lighting control system and method to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A method for coordinating lighting control with multiple users and multiple biological intentions includes the following steps:

[0008] The control terminal receives raw sensing data uploaded by multimodal sensor components within the target shared space, assigns timestamps under a unified time reference to raw sensing data from different sources, and performs outlier removal, noise suppression, data alignment, and spatial mapping processing to form unified temporal sensing data. Within the continuous analysis window, it performs correlation analysis on multi-source sensing data, merging sensing results that are temporally adjacent, spatially close, and continuous in motion changes into observation records corresponding to the same active subject, forming a subject-level observation chain, and further generating a subject-level state set.

[0009] The control terminal continuously analyzes the state records of each subject in the subject-level state set to identify the activity intentions of each subject within the current analysis window, and converts the identified activity intentions into lighting demand items. Each lighting demand item includes at least the demanding subject, the target lighting area, the target brightness, the target color temperature, and the duration. For each lighting demand item, a comprehensive quantity for the establishment of the subject lighting demand is determined based on behavior and area anchoring parameters, continuous dwell confirmation parameters, and time period context matching parameters. The comprehensive quantity for the establishment of the subject lighting demand is compared with a preset demand establishment threshold to filter out established lighting demand items.

[0010] For each established lighting requirement item, the control terminal determines the priority coordination execution quantity based on the corresponding main lighting demand establishment quantity, safety sensitive traction parameter, and cross-subject interference cost parameter. The cross-subject interference cost parameter is determined by the overlapping influence of target lighting areas and the spillover influence of lamp illumination. The control terminal sorts and layers the priority coordination execution quantities corresponding to each established lighting requirement item, and combines the overlapping relationship between target lighting areas and the mutual interference between different subjects to determine the current primary lighting requirement item and secondary lighting requirement item, thereby generating a target lighting control scheme.

[0011] The control terminal converts the target lighting control scheme into control commands that can be directly executed by the lighting equipment, and sends control commands to the corresponding lamps in the order of execution.

[0012] In a preferred embodiment, the correlation analysis of multi-source sensing data within a continuous analysis window includes: matching the observation results of the same subject in different sensors based on the position change relationship, movement direction continuity relationship, trigger area switching relationship, and subject category determination result of the moving target at adjacent analysis times to form a subject-level observation chain; when forming a subject-level state set, performing continuity verification on the state records of the same subject in adjacent analysis windows; when the subject position change, movement direction change, and subject category determination result in adjacent analysis windows meet the preset continuity conditions, they remain as the same subject identifier; when the state difference in adjacent analysis windows exceeds the preset separation threshold, a new subject identifier is generated; each subject state record in the subject-level state set includes at least the subject identifier, subject category, current position, movement direction, continuous dwell time, and current behavior state.

[0013] In a preferred embodiment, the activity intent includes reading intent, rest intent, passage intent, companionship intent, short-term stay intent, pet passing intent, and pet staying intent; the step of converting the identified activity intent into lighting demand items includes: determining the demanding subject by the subject identifier, determining the target lighting area by the current location, activity intent, and shared space preset area model, determining the target brightness and target color temperature by the preset light effect rule table corresponding to the activity intent, and determining the duration by the activity intent type and continuous stay duration.

[0014] In a preferred embodiment, the overall quantity of the main lighting request is determined by a combination of behavior and area anchoring parameters, continuous stay confirmation parameters, and time period context matching parameters. When the overall quantity of the main lighting request is greater than or equal to a preset request establishment threshold, the corresponding lighting requirement item is determined to be established, and the corresponding lighting requirement item is sent to sorting and hierarchical processing. When the overall quantity of the main lighting request is less than the preset request establishment threshold, the corresponding lighting requirement item is retained as a candidate observation item.

[0015] In a preferred embodiment, the behavior and region anchoring parameters are determined by the number of valid observations within a preset observation window that simultaneously satisfy the conditions of being located within the target lighting area and maintaining a consistent current behavior state, and the total number of valid observations of the corresponding subject within the observation window; the continuous stay confirmation parameter is determined by normalizing the continuous stay duration of the corresponding subject within the target lighting area relative to the reference stay duration corresponding to the category to which the current activity intention belongs; the time period context matching parameter is determined by whether the current time period matches the activity intention, whether the spatial function of the current location matches the activity intention, and whether the current behavior state matches the activity intention.

[0016] In a preferred embodiment, the coordinated execution priority comprehensive quantity is determined by the comprehensive quantity of the main lighting demand establishment, the safety sensitive traction parameter, and the cross-subject interference cost parameter; the safety sensitive traction parameter is determined by the control terminal by calling a preset rule table according to the subject category, the current behavior status, and the current time period.

[0017] In a preferred embodiment, the cross-subject interference cost parameter is determined by a combination of the target lighting area overlap effect and the lamp illumination spillover effect; the target lighting area overlap effect is determined by the maximum value of the area overlap ratio between the target lighting area corresponding to the current subject and the area where other subjects are located; the lamp illumination spillover effect is determined by a preset light distribution effect matrix of the target lamp on each non-target area, combined with the presence of other subjects in each non-target area and the importance of each non-target area, and then normalized.

[0018] In a preferred embodiment, the sorting and hierarchical processing based on the coordination execution priority comprehensive quantity corresponding to each established lighting demand item includes: when the difference between the coordination execution priority comprehensive quantity corresponding to the first-ranked lighting demand item and the coordination execution priority comprehensive quantity corresponding to the second-ranked lighting demand item is greater than or equal to a preset priority difference threshold, the first-ranked lighting demand item is determined as the current master lighting demand item; when the difference between the coordination execution priority comprehensive quantity corresponding to the first-ranked lighting demand item and the coordination execution priority comprehensive quantity corresponding to the second-ranked lighting demand item is less than the preset priority difference threshold, the first-ranked lighting demand item is not directly determined as the current master lighting demand item, but is further combined with the overlap relationship between target lighting areas and the corresponding cross-subject interference cost parameters for hierarchical processing; when there are two or more If the overall coordination execution priority of the above lighting requirements is greater than or equal to the preset high priority threshold, and the corresponding target lighting areas are separated or overlap less than the preset overlap threshold, and the corresponding cross-subject interference cost parameter is less than or equal to the preset low interference threshold, then multiple lighting requirements will be included in the target lighting control scheme simultaneously, and corresponding brightness and color temperature control will be performed on different target lighting areas respectively. When there are two or more lighting requirements whose overall coordination execution priority is greater than or equal to the preset high priority threshold, but their target lighting areas overlap, or the corresponding cross-subject interference cost parameter is greater than or equal to the preset high interference threshold, then the primary lighting requirement will be determined based on the overall coordination execution priority, and secondary lighting requirements will be handled using local compensation lighting, low interference guiding lighting, gradual transition, or delayed execution methods.

[0019] In a preferred embodiment, during the execution of the target lighting control scheme by the lighting equipment, the control terminal continuously receives feedback status from the luminaires and environmental feedback information. When a deviation is detected between the actual lighting result and the target lighting control scheme, the latest feedback information is written back to the subject-level state set and the lighting demand item set, and the updates of the subject lighting demand establishment comprehensive quantity, the coordination execution priority comprehensive quantity, and the target lighting control scheme are re-triggered. Specifically, when only a few subject states change or only a few target lighting areas experience abnormal fluctuations in ambient illuminance, incremental updates are performed. When the number of subjects in the shared space changes significantly, multiple target lighting areas experience light disturbances simultaneously, or the overall situation changes due to time period switching, full updates are performed. Furthermore, key data from each control process is stored to form historical samples, and based on these historical samples, the parameters corresponding to the subject lighting demand establishment comprehensive quantity, the parameters corresponding to the coordination execution priority comprehensive quantity, the preset demand establishment threshold, the reference dwell time corresponding to various activity intentions, the target brightness mapping rule, the target color temperature mapping rule, and the safety sensitive traction rule table are periodically updated.

[0020] In a preferred embodiment, the system includes a multimodal sensor assembly, a lighting device, and a control terminal. The control terminal is communicatively connected to the multimodal sensor assembly and the lighting device. The control terminal is equipped with a perception modeling module, a demand analysis module, a coordination and decision-making module, an execution feedback module, and an update and optimization module.

[0021] The perception modeling module is used to receive raw perception data uploaded by multimodal sensor components, assign timestamps under a unified time base to raw perception data from different sources, and perform outlier removal, noise suppression, data alignment and spatial mapping to form unified temporal perception data, and form a subject-level observation chain and a subject-level state set.

[0022] The demand analysis module is used to identify the activity intentions of each subject, generate lighting demand items, and determine the overall quantity of the subject's lighting demand to filter out valid lighting demand items.

[0023] The coordination decision module is used to determine the coordination execution priority comprehensive quantity, and sort and hierarchically process multiple established lighting demand items based on the coordination execution priority comprehensive quantity to generate a target lighting control scheme.

[0024] The execution feedback module is used to convert the target lighting control scheme into control commands that can be directly executed by the lighting equipment, and to receive feedback status of the lighting fixtures and environmental feedback information during the execution process of the lighting equipment;

[0025] The update and optimization module is used to trigger the updating of the main lighting demand establishment comprehensive quantity, the coordination execution priority comprehensive quantity, and the target lighting control scheme when a deviation is detected between the actual lighting result and the target lighting control scheme. It also periodically updates the relevant parameters and rule tables based on historical samples.

[0026] The technical effects and advantages of this invention are as follows:

[0027] This invention processes the raw sensing data uploaded by multimodal sensor components using a unified time reference, and combines outlier removal, noise suppression, data alignment, and spatial mapping to form unified temporal sensing data. It further constructs a subject-level observation chain and a subject-level state set. Based on this, it identifies the activity intentions of each subject and converts them into lighting demand items. Then, it combines behavior and area anchoring parameters, continuous dwelling confirmation parameters, and time-segmentation context matching parameters to determine the comprehensive quantity of the subject's lighting demand. This allows for a more accurate differentiation of the actual lighting needs of multiple users and biological objects in different areas and time periods within a shared target space, reducing false triggering, false response, and frequent fluctuations caused by short-term passage, occasional actions, or local misidentification, thereby improving the accuracy and stability of lighting control.

[0028] Furthermore, this invention addresses the establishment of lighting requirements by combining the overall quantity of the main lighting demand, safety-sensitive traction parameters, and cross-subject interference cost parameters to determine the priority quantity for coordinated execution. Based on the overlap between target lighting areas and the mutual interference between different subjects, the invention sorts and hierarchically processes the established lighting requirements to generate a target lighting control scheme. Simultaneously, during the execution of the lighting equipment, it continuously receives feedback from the luminaires and the environment, updating the overall quantity of the main lighting demand, the priority quantity for coordinated execution, and the target lighting control scheme. Furthermore, it periodically updates relevant parameters and rule tables based on historical samples. This allows the invention to meet the lighting needs of the target lighting area while also considering the disturbances to the current light environment of other subjects, improving the overall coordination, adaptability, and long-term effectiveness of the lighting control. Attached Figure Description

[0029] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0030] Figure 1 This is a flowchart illustrating the multi-user and multi-biological intent coordinated lighting control method of the present invention;

[0031] Figure 2 Pre-set a regional model and schematic diagram of sensor and lighting fixture layout for the target shared space;

[0032] Figure 3 A schematic diagram illustrating the coordinated decision-making process for lighting needs among multiple stakeholders;

[0033] Figure 4 To coordinate the relationship between the priority execution quantity and the cross-entity interference cost parameter curve;

[0034] Figure 5 This is a schematic diagram of the multi-user and multi-biological intent coordinated lighting control system of the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] Example 1: The multi-user and multi-biological intent coordinated lighting control method of the present invention, such as... Figure 1 As shown, it includes the following steps:

[0037] Step 1: The control terminal receives the raw sensing data uploaded by the multimodal sensor components, performs unified time base processing and preprocessing on the raw sensing data to form unified time-series sensing data, and completes the multi-source sensing data correlation analysis within the continuous analysis window to construct the subject-level observation chain and subject-level state set;

[0038] Step 2: The control terminal identifies the activity intentions of each subject based on the subject-level state set, converts the activity intentions into lighting demand items, and determines the comprehensive quantity of the subject's lighting demand by combining behavior and area anchoring parameters, continuous stay confirmation parameters, and time period context matching parameters, so as to filter out the established lighting demand items.

[0039] Step 3: For the established lighting demand items, the control terminal determines the priority comprehensive quantity for coordinated execution by combining the main lighting requirements, safety-sensitive traction parameters, and cross-subject interference cost parameters. It also sorts and hierarchically processes multiple established lighting demand items to generate a target lighting control scheme.

[0040] Step four: The control terminal converts the target lighting control scheme into control commands and sends them to the lighting equipment for execution. During the execution process, it updates the commands based on the feedback status of the luminaires and environmental feedback information, and periodically updates the relevant parameters and rule tables based on historical samples.

[0041] Specifically:

[0042] Step 1: Set up a multimodal sensor assembly within the target shared space. This assembly includes at least one or more of the following: an infrared sensor, an image acquisition unit, a sound sensor, a pressure sensor, and an ambient light sensor. The infrared sensor acquires information on the entry, exit, and movement of heat sources within the shared space. The image acquisition unit acquires information on the location distribution, contour changes, and movement trajectories of various moving targets within the shared space. The sound sensor acquires information on the appearance, intensity, and orientation of sound sources within the shared space. The pressure sensor acquires information on force changes on the ground, the sitting / lying area, or a preset contact area. The ambient light sensor acquires information on changes in the current ambient illuminance within the shared space. The control terminal communicates with the multimodal sensor assembly and receives the raw sensing data uploaded by each sensor according to a preset sampling period. Preferably, the layout of the preset area model of the target shared space, the infrared sensor, the image acquisition unit, the sound sensor, the pressure sensor, the ambient light sensor, and the lighting equipment can be as follows: Figure 2 As shown.

[0043] After receiving raw sensing data from different sources, the control terminal assigns timestamps to various types of data under a unified time reference to eliminate the impact of inconsistent sampling times from different sensors on subsequent subject recognition. For image sequences acquired by the image acquisition unit, the control terminal extracts the position changes, contour changes, and movement direction changes of the moving target in consecutive frames; for signals acquired by the infrared sensor, the control terminal extracts the heat source triggering state, duration, and region switching relationship within a preset sensing area; for signals acquired by the sound sensor, the control terminal extracts the sound intensity amplitude, duration, and sound source direction changes; for signals acquired by the pressure sensor, the control terminal extracts the pressure triggering position, pressure amplitude, and continuous loading duration; and for signals acquired by the ambient light sensor, the control terminal extracts the current illuminance value and illuminance change trend. Subsequently, the control terminal performs preprocessing operations on the raw sensing data corresponding to each sensor. These preprocessing operations include outlier removal, noise suppression, data alignment, and spatial mapping. Outlier removal filters out abnormal data caused by momentary occlusion, false triggering, electrical noise, or invalid sampling. Noise suppression reduces the impact of environmental disturbances on the sensing results. Data alignment maps data from different sensors within the same time window to the same analysis time. Spatial mapping maps image coordinates, infrared sensing areas, pressure triggering areas, and sound source direction information to a pre-defined region model within a shared space. After preprocessing, sensing data from different sources is converted into unified temporal sensing data that can be compared and correlated within the same analytical framework.

[0044] After preprocessing, the control terminal performs correlation analysis on multi-source sensing data within a continuous analysis window, grouping sensing results that are temporally adjacent, spatially close, and exhibit continuous motion changes into observation records corresponding to the same active subject. Based on the positional changes, movement direction continuity, trigger area switching, and subject category determination results of the active target at adjacent analysis times, the control terminal matches the observation results of the same subject across different sensors, thus forming corresponding subject-level observation chains. Subsequently, the control terminal further generates a subject-level state set. Each subject state record in the subject-level state set includes at least the subject identifier, subject category, current position, movement direction, continuous dwell time, and current behavioral state. The system includes several key elements: subject identifier (to distinguish different subjects within the shared space), subject category (to distinguish adults, children, and pets), current location (to represent the current location of the corresponding subject within the preset area model of the shared space), movement direction (to represent the main movement trend of the corresponding subject within the current analysis window), continuous dwell time (to represent the length of time the corresponding subject has been present at the current location or within the target area), and current behavior state (to represent the state of the corresponding subject within the current analysis window, including sitting, reading, resting, standing, passing through, briefly passing through, or staying). The current location can be determined by image localization results, pressure-triggered areas, or infrared sensing areas. The continuous dwell time can be directly obtained based on the length of time the same subject has been present continuously within the same area. The current behavior state can be comprehensively determined by the magnitude of position changes, the duration of movement, and the results of posture changes. Preferably, when forming a subject-level state set, the control terminal also performs continuity verification on the state records of the same subject within adjacent analysis windows. When the changes in subject position, movement direction, and subject category determination results within adjacent analysis windows meet preset continuity conditions, they are maintained as the same subject identifier; when the state differences within adjacent analysis windows exceed a preset separation threshold, a new subject identifier is generated. Through the above processing, step one outputs a subject-level state set that can characterize the real-time activity status of multiple users and multiple biological objects in the shared space, providing unified, continuous and directly callable input data for step two to form lighting demand items and calculate the comprehensive quantity of subject lighting demand.

[0045] Step Two: After obtaining the subject-level state set output in Step One, the control terminal continuously analyzes the state records of each subject to identify the activity intent of each subject within the current analysis window, and converts the identified activity intent into lighting demand items. Each subject state record in the subject-level state set already includes subject identifier, subject category, current location, direction of movement, continuous dwell time, and current behavioral state. Therefore, the control terminal can further determine whether the corresponding subject is intending to read, rest, pass through, engage in companionship activities, stay briefly, have a pet pass by, or have a pet stay. Specifically, when a subject continuously stays in the desk area, sofa reading area, or bedside reading area, and their current position is relatively stable, their movement direction changes little, and their current behavior is characterized by sitting still or low-amplitude upper limb movements, the control terminal identifies them as having a reading intention; when a subject is located in the bed area, sofa rest area, or children's rest area, and their continuous stay meets the rest criteria, their current position changes little, and their current behavior is characterized by stillness or low-frequency slight movements, the control terminal identifies them as having a rest intention; when a subject continuously moves along a path from the corridor, doorway, or bedside to the bathroom, and their movement direction is continuous, their stay time is short, and their position changes have a clear path, the control terminal identifies them as having a passage intention; when two or more subjects simultaneously and continuously stay in the same or adjacent target lighting areas, and their positions are relatively stable... When the distance between objects changes little, the overlap of their dwell time reaches a preset condition, and their current behavior indicates joint dwelling, joint activity, or continuous activity around the same functional area, the control terminal identifies it as an intention to accompany them. When an object enters the target lighting area and its continuous dwell time does not reach the judgment conditions corresponding to reading intention, rest intention, or companionship intention, but its current position remains basically stable within a preset short observation time and there are no clear passage path characteristics, the control terminal identifies it as an intention to stay briefly. When the object is a pet and its current position changes rapidly along a preset activity path with a short continuous dwell time, the control terminal identifies it as an intention for a pet to pass by. When the object is a pet and reaches a preset dwell time in the food bowl area, resting mat area, or fixed dwelling area, the control terminal identifies it as an intention for a pet to stay.

[0046] After activity intent recognition is completed, the control terminal maps the activity intent corresponding to each subject to lighting requirement items. Each lighting requirement item includes at least the requesting subject, target lighting area, target brightness, target color temperature, and duration. The requesting subject is determined by the subject identifier; the target lighting area is jointly determined by the current location, activity intent, and a shared space preset area model; the target brightness and target color temperature are obtained from the preset light effect rule table corresponding to the activity intent; and the duration is jointly determined by the activity intent type and continuous dwell time. For reading intent, the target brightness is usually higher than the target brightness corresponding to rest intent, and the target color temperature is preferably neutral light or cool white light; for rest intent, the target brightness is preferably lower, and the target color temperature is preferably warm light; for passage intent, the target brightness is preferably set to the basic illuminance to meet passage route recognition, and the target color temperature can be set to a medium-low color temperature based on the principle of low interference at night; for pet passage intent, the target brightness is preferably lower than the target brightness corresponding to human passage intent to avoid large-scale lighting activation due to short-term pet passage; for pet dwell intent, the target brightness and target color temperature can be determined based on preset comfort parameters of the pet activity area. By converting activity intent into lighting requirements, the control terminal no longer outputs only general scene patterns, but forms structured lighting control objects that can be directly invoked for subsequent conflict coordination.

[0047] After generating lighting demand items, the control terminal further calculates the overall quantity of the main lighting demand for each item to determine whether the corresponding lighting demand is truly established, whether it is stably established, and whether it should proceed to the coordination and execution process in step three. Let the overall quantity of the main lighting demand for the i-th subject be denoted as . Then we have:

[0048] ;

[0049] in, Used to characterize the validity of the current lighting request of the i-th subject. and For the preset weighting coefficients, satisfy , and In practice, The preferred value is 0.35 to 0.45. The preferred value is 0.25 to 0.35, with the remaining weights allocated to... Corresponding item.

[0050] In the formula, The behavior and region anchoring parameter is used to characterize the stability of the correspondence between the current behavior of the i-th subject and the target illumination region. It is obtained by: the control terminal counting the number of valid observations within a preset observation window where the i-th subject simultaneously meets the conditions of being located within the target illumination region and maintaining a consistent current behavior state; denoted as . Then, it is compared with the total number of valid observations of the i-th subject within the observation window. Compared to; when When it is greater than 0, we get ;when When equal to 0, take =0. Where, 0≤ ≤1. When the i-th subject remains continuously within the target illumination area and its behavior remains stable within the observation window, The value is relatively high; when the i-th subject enters the region only briefly, or when its behavior changes frequently, The value is relatively low.

[0051] This is a continuous dwell confirmation parameter, used to characterize whether the i-th subject meets the preset continuous dwell condition within the target lighting area. It is obtained by the control terminal reading the continuous dwell time from step one, denoted as . Then, based on the category to which the current activity intent belongs, the corresponding reference dwell time is retrieved. And perform normalization; when When it is greater than 0, we get ;when When less than or equal to 0, take =0. Where, 0≤ ≤1. The reference stay duration Based on different activity intentions, the reference dwell time for reading intention can be set to 20 to 40 seconds, for rest intention to 30 to 60 seconds, for passage intention to 3 to 10 seconds, for companionship intention to 10 to 30 seconds, for short stay intention to 2 to 8 seconds, for pet passage intention to 1 to 5 seconds, and for pet stay intention to 10 to 30 seconds.

[0052] The time-segment context matching parameter is used to characterize the degree of matching between the current activity intention of the i-th subject and the current time period, current spatial function, and current behavioral state. It is obtained as follows: the control terminal determines whether the current time period matches the activity intention, whether the spatial function of the current location matches the activity intention, and whether the current behavioral state matches the activity intention, and records the number of items that meet the conditions as . ,get ;in, The value of can be 0, 1, 2, or 3, therefore 0 ≤ ≤1.

[0053] In obtaining , and Then, the control terminal substitutes the above formula into the overall quantity of the lighting request corresponding to the i-th subject. and will Establishing a threshold with pre-set demands A comparison is made. Preferably, the preset demand threshold is met. The value should be between 0.55 and 0.70, more preferably 0.60. When the current lighting request of the i-th subject is deemed valid, the corresponding lighting requirement item is sent to the coordination and execution process in step three; when If the lighting request is deemed invalid, subsequent coordination and execution will not be immediately triggered. Instead, the corresponding lighting requirement will be retained as a candidate observation item.

[0054] Step 3: The control terminal establishes a comprehensive quantity based on the lighting requirements and corresponding main lighting needs output in Step 2. Then, first filter out those that meet the requirements from the output of step two. The lighting demand items are identified and designated as valid lighting demand items. Lighting demand items that do not reach the threshold usually correspond to short-lived, sporadic, locally misidentified, or low-stability states. If they are directly coordinated with stable lighting demand items, it can easily lead to frequent fluctuations in subsequent control results. Therefore, this step uses the output of step two as a prerequisite to continue prioritizing and conflict constraint analysis on the confirmed valid lighting demands. The coordination decision-making process, sorting and hierarchical processing logic, and target lighting control scheme generation process for multiple valid lighting demand items can be described as follows: Figure 3 As shown.

[0055] The control terminal calculates the coordinated execution priority comprehensive quantity for each established lighting demand item. Let the coordinated execution priority comprehensive quantity for the i-th entity be... Then we have:

[0056] ;

[0057] in, Used to characterize the priority of coordinated execution of the lighting request corresponding to the i-th subject at the current analysis time. A comprehensive quantity is established for the main lighting requirements obtained in step two, where γ is a preset weighting coefficient that satisfies 0 ≤ ≤1, preferably, The value is 0.50 to 0.70, more preferably 0.60.

[0058] In the formula, The safety-sensitive traction parameter characterizes whether the current lighting request of the i-th subject is related to a safety-sensitive scenario and whether it needs to be prioritized in the current shared space state. This safety-sensitive traction parameter is directly determined by the control terminal based on the subject category, current behavior state, and current time period, by calling a preset rule table. When the subject category is a child, and the current behavior state is getting up at night, approaching the bedside, moving along a passageway, approaching a doorway, approaching a corner, or approaching stairs, the control terminal determines that its corresponding lighting request has a high safety sensitivity. The value should be relatively high, preferably between 0.8 and 1.0; when the subject category is adult and the current behavior status is general passage, short-term activity, or area switching, A value of 0.4 to 0.7 is acceptable; when the subject category is a pet, and the current behavior is a short-term passerby or a localized activity, A value of 0.1 to 0.3 is acceptable.

[0059] This is a cross-subject interference cost parameter, used to characterize the degree of disturbance to the existing lighting environment of other subjects when the lighting requirements of the i-th subject are met. The disturbance includes the spatial overlap between the target lighting area and the areas of other subjects, and the spillover effect of the luminaires corresponding to the target lighting area on non-target areas. For ease of implementation, the... It can be obtained by the following formula:

[0060] ;

[0061] in, The normalized overlap ratio between the target lighting area and the area containing other subjects. λ is the normalized spillover effect coefficient of the target luminaire on the non-target area, and λ is a preset weight that satisfies 0≤λ≤1, preferably 0.4 to 0.6.

[0062] It is calculated from the overlapping relationships of regions in the pre-defined region model of the shared space. Specifically, the control terminal targets the illumination area corresponding to the i-th subject. Calculate the regions where it and other entities are located respectively. The overlap ratio between the regions is used as the maximum value. ,Right now:

[0063] ;

[0064] Where j ≠ i; when there are no other subjects in the current analysis window, take =0.

[0065] The light distribution influence matrix is ​​estimated based on the luminaire installation location, illumination direction, preset light distribution influence matrix, historical ambient light feedback results, or current ambient light sensor sampling results. Specifically, the control terminal pre-establishes the light distribution influence matrix of the target luminaire on each non-target area, and then performs weighted summation and normalization on the corresponding influence coefficients according to whether there are other entities in each non-target area within the current shared space and the importance of each non-target area, to obtain the final light distribution influence matrix. Preferably, The ratio of the sum of the weighted influence values ​​of each non-target area to the preset maximum influence value is taken, with 1 being taken when the calculated result is greater than 1 and 0 being taken when the calculated result is less than 0. Therefore, 0 ≤ ≤1.

[0066] In obtaining respectively , and Then, the control terminal substitutes it into the above formula to calculate the coordinated execution priority comprehensive quantity corresponding to each established lighting demand item. The relationship between the coordination execution priority integration quantity and the cross-entity interference cost parameter can be expressed as follows: Figure 4 As shown. When a lighting requirement is highly valid, that is... It is relatively high, and its safety-sensitive traction is also relatively high, that is... The value is relatively high, and satisfying this requirement causes minimal cross-entity interference to other entities, i.e. At a lower level, the corresponding A higher value will be obtained; conversely, when a certain lighting requirement is valid, but the safety sensitivity is low, or it will cause significant interference to other entities, the corresponding value will be lower. It will be relatively low.

[0067] After obtaining the corresponding lighting requirements items Then, the control terminal sorts and hierarchically processes the multiple lighting requirements. Specifically, the control terminal first sorts and hierarchically processes the requirements according to... Sort from highest to lowest; when the lighting demand item ranked first corresponds to... Corresponding to the second ranked lighting demand item When the difference is greater than or equal to the preset priority difference threshold, the control terminal will determine the lighting requirement item ranked first as the current master lighting requirement item, and generate the master lighting output based on the target lighting area, target brightness, target color temperature and duration of the lighting requirement item.

[0068] When the difference between the coordinated execution priority comprehensive quantity corresponding to the first-ranked lighting demand item and the coordinated execution priority comprehensive quantity corresponding to the second-ranked lighting demand item is less than the preset priority difference threshold, the control terminal does not directly determine the first-ranked lighting demand item as the current master lighting demand item. Instead, it further combines the overlapping relationship between target lighting areas and the corresponding cross-subject interference cost parameters for hierarchical processing.

[0069] When there are two or more lighting requirements All are greater than or equal to the preset high priority threshold, and the degree of separation or overlap between the corresponding target illumination areas is less than the preset overlap threshold, while the corresponding When the threshold is less than or equal to the preset low interference threshold, the control terminal will simultaneously incorporate multiple high-priority lighting requirements into the target lighting control scheme, and perform corresponding brightness and color temperature control on different target lighting areas to form a lighting result that satisfies the zone requirements.

[0070] When there are two or more lighting requirements All of them are greater than or equal to the preset high priority threshold, but their target lighting areas have significant overlap, or executing one lighting requirement will significantly interfere with the current lighting environment of the subject corresponding to the other lighting requirement, i.e., the corresponding When the threshold is greater than or equal to a preset high interference threshold, the control terminal does not execute all lighting requirements simultaneously, but instead... The size and regularity of the lighting requirements determine the primary lighting requirements, and secondary lighting requirements are handled by local compensation lighting, low-interference guiding lighting, gradual transition, or delayed execution.

[0071] After establishing a specific coordination method, the control terminal further generates a target lighting control scheme. This scheme includes at least the identification of the luminaires involved in the control, the corresponding target lighting area, the target brightness, the target color temperature, the direction of brightness change, the duration of the change, and the execution order. If the target lighting control scheme uses a zoned fulfillment method, different luminaires or different areas correspond to their respective target brightness and target color temperature. If the scheme uses a gradual transition method, the control terminal gradually changes the target brightness and target color temperature within a preset transition duration. If the scheme uses a delayed execution method, the control terminal triggers the control result corresponding to the secondary lighting requirement only after the high-priority lighting requirement has persisted for a certain period or after the interference conditions have been eliminated. Step three ultimately outputs a target lighting control scheme that can be directly distributed to lighting equipment.

[0072] Step Four: After obtaining the target lighting control scheme output in Step Three, the control terminal converts the target lighting control scheme into control commands that can be directly executed by the lighting equipment, and sends control commands to the corresponding luminaires according to the execution order determined in the target lighting control scheme. The control commands at least include luminaire identification, target lighting area correspondence, target brightness, target color temperature, brightness change direction, change duration, and start execution time. For target lighting control schemes using a zoned satisfaction method, the control terminal sends differentiated control commands to luminaires corresponding to different target lighting areas, enabling each target lighting area to achieve its corresponding target brightness and target color temperature. For target lighting control schemes using a gradual transition method, the control terminal gradually adjusts the luminaire output according to a preset change duration. For target lighting control schemes using a delayed execution method, the control terminal first executes the control commands corresponding to high-priority lighting requirements, and then triggers the control commands corresponding to secondary lighting requirements after the preset waiting conditions are met.

[0073] During the execution of the target lighting control scheme by the lighting equipment, the control terminal continuously receives feedback status from the luminaires and environmental feedback information to determine whether the target lighting control scheme is being executed accurately. The luminaire feedback status includes at least the luminaire's on / off status, current actual brightness, current actual color temperature, and execution response time. The environmental feedback information includes at least the actual ambient illuminance within the target lighting area, the light exposure changes in non-target areas, and the real-time changes in the status of each entity within the shared space. The luminaire feedback status can be directly returned by intelligent luminaires with communication capabilities, or it can be obtained by the control terminal based on luminaire drive feedback signals or information returned by the dimming interface. The actual ambient illuminance can be obtained by sampling from an ambient light sensor. The light exposure changes in non-target areas can be obtained by verification using an ambient light sensor, an image acquisition unit, or a preset luminaire influence matrix. The changes in the status of each entity within the shared space are continuously collected and updated by the multimodal sensor component from step one.

[0074] When the control terminal determines that the actual lighting result is consistent with the target lighting control scheme, and the ambient illuminance within the target lighting area meets the requirements of the corresponding lighting demand, while no light disturbance exceeding the preset range occurs in the non-target area, the control terminal maintains the current lighting state and continues to monitor the changes in the activity status of each subject within the shared space in subsequent analysis windows. If, during the maintenance process, the subject-level state set within the shared space does not undergo substantial change, and the subject lighting demand corresponding to step two is met, the overall quantity... Coordination and execution priority summary quantity corresponding to step three If the target lighting control scheme remains within the effective range of the current control strategy, the control terminal will not recalculate the target lighting control scheme to avoid unnecessary repeated adjustments to the stable lighting scenario.

[0075] When the control terminal detects a deviation between the actual lighting result and the target lighting control scheme, it determines that the current control result needs to be corrected. The deviation includes at least the following situations: First, the target luminaire has received the control command, but the actual brightness or color temperature does not meet the requirements of the target lighting control scheme; second, the actual ambient illuminance of the target lighting area is lower than the corresponding lighting requirement; third, the light received in non-target areas exceeds the preset disturbance range; fourth, the status of the main body within the shared space changes significantly during the luminaire's execution, thus altering the input basis in steps two and three. When any of the above situations occur, the control terminal writes the latest feedback information back to the main body-level status set and the lighting requirement set, and re-triggers steps two and three to update the comprehensive quantity of the main body lighting requirements corresponding to each main body. Coordination and execution priority comprehensive quantity And a target lighting control scheme. Preferably, when only the status of a few subjects changes, or when only the ambient illuminance of a few target lighting areas fluctuates abnormally, the control terminal only reads the subject status records and lighting requirements related to the corresponding subject and area. and Incremental updates are performed; when the number of subjects in the shared space changes significantly, multiple target lighting areas are simultaneously disturbed by light, or the overall situation changes due to time period switching, the control terminal performs a full update.

[0076] In addition to real-time feedback and correction, the control terminal also stores key data from each control process to form historical samples required for long-term updates. This key data includes at least the subject identifier, subject category, current location, current behavior state, lighting requirement items, and the overall quantity of the subject's lighting request. Coordination and execution priority comprehensive quantity The system includes the target lighting control scheme, luminaire feedback status, actual ambient illuminance changes, and user manual corrections. User manual corrections include actions performed by the user via switches, panels, mobile terminals, or voice control to manually adjust the brightness, dim the lights, change the color temperature, disable automatic mode, or reselect the lighting area. The control terminal treats these user manual corrections as direct feedback to the current automatic control result and uses this information to determine previous automatic control decisions. Calculation results Are there any deviations in the sorting results or the target lighting control scheme?

[0077] Based on the aforementioned historical samples, the control terminal periodically updates the parameters and rule tables in steps two and three. Specifically, the control terminal adjusts the weighting coefficients in step two according to the degree of consistency between the automatic control results in the historical samples and the final results accepted by the user. and Make corrections to adjust behavior and region anchoring parameters. Continuous stay confirmation parameters Matching parameters with time period context The overall quantity of the main lighting requirements was established. The influence ratio; based on the changes in security needs under different subject categories, different activity intentions, and different time periods, the weighting coefficients in step three are adjusted. and cross-subject interference cost parameters Weights in Make corrections to adjust safety-sensitive traction parameters. The overlapping effects of target lighting areas and the spillover effects of luminaire illumination are prioritized in the overall coordination and execution. The degree of influence of the process; at the same time, establishing thresholds for pre-set demands. The reference dwell time, target brightness mapping rules, target color temperature mapping rules, and safety-sensitive traction rule tables corresponding to various activity intentions are updated. To ensure the stability of the update process, the control terminal preferably sets update restrictions when correcting parameters, that is, the parameter change after a single update does not exceed a preset proportion of the current value of the corresponding parameter, or parameter values ​​are only allowed to be changed when the number of historical samples of a certain type reaches a preset threshold and the correction direction remains consistent.

[0078] Example 2: The design of the multi-user and multi-biological intent coordinated lighting control system of the present invention is based on the method in Example 1, specifically as follows... Figure 5 As shown, it includes a perception modeling module, a demand analysis module, a coordination and decision-making module, an execution feedback module, and an update and optimization module; wherein, each module is set in a control terminal, and the control terminal is communicatively connected to the multimodal sensor components and lighting equipment.

[0079] The perception modeling module is used to receive raw perception data uploaded by multimodal sensor components, assign timestamps under a unified time base to raw perception data from different sources, and perform outlier removal, noise suppression, data alignment, and spatial mapping to form unified temporal perception data. The perception modeling module is also used to perform correlation analysis on multi-source perception data within a continuous analysis window, grouping perception results that are temporally adjacent, spatially close, and have continuous motion changes into observation records corresponding to the same active subject, forming a subject-level observation chain, and further generating a subject-level state set. Each subject state record in the subject-level state set includes at least subject identifier, subject category, current position, direction of movement, continuous dwell time, and current behavior state.

[0080] The request analysis module is used to continuously analyze the state records of each subject in the subject-level state set to identify the activity intentions of each subject within the current analysis window, and convert the identified activity intentions into lighting request items. Each lighting request item includes at least the requesting subject, the target lighting area, the target brightness, the target color temperature, and the duration. The request analysis module is also used to calculate the overall validity of the subject lighting request for each lighting request item, compare the overall validity of the subject lighting request with a preset request validity threshold, filter out valid lighting request items, and output the valid lighting request items and their corresponding overall validity of the subject lighting request.

[0081] The coordination and decision-making module is used to receive the established lighting demand items and the corresponding comprehensive quantity of the main lighting demand output by the demand analysis module, calculate the coordination execution priority comprehensive quantity for each established lighting demand item, and sort and hierarchically process multiple established lighting demand items based on the coordination execution priority comprehensive quantity; the coordination and decision-making module is also used to determine the current primary control lighting demand items and secondary lighting demand items by combining the overlapping relationship between target lighting areas, the light spillover effect of target lamps on non-target areas, and the mutual interference between different subjects in the current shared space, and generate a target lighting control scheme; the target lighting control scheme includes at least the lamp identification involved in the control, the corresponding target lighting area, the target brightness, the target color temperature, the direction of brightness change, the duration of change, and the execution order.

[0082] The execution feedback module is used to convert the target lighting control scheme into control commands that can be directly executed by the lighting equipment, and send control commands to the corresponding lamps according to the execution order determined in the target lighting control scheme. The execution feedback module is also used to continuously receive feedback status of lamps and environmental feedback information during the execution of the target lighting control scheme by the lighting equipment to determine whether the target lighting control scheme is executed accurately. When the actual lighting result is consistent with the target lighting control scheme, and the actual ambient illuminance in the target lighting area meets the requirements of the corresponding lighting demand item, and no light disturbance exceeding the preset range occurs in the non-target area, the current lighting state is maintained. When a deviation between the actual lighting result and the target lighting control scheme is detected, the latest feedback information is written back to the subject-level state set and the lighting demand item set, and the demand analysis module and the coordination decision module are triggered to re-execute to update the comprehensive quantity of the subject lighting demand establishment, the comprehensive quantity of coordination execution priority, and the target lighting control scheme.

[0083] The update and optimization module stores key data from each control process to form historical samples. This key data includes at least the subject identifier, subject category, current location, current behavior state, lighting demand items, comprehensive quantity of subject lighting demand fulfillment, comprehensive quantity of coordination execution priority, target lighting control scheme, luminaire feedback status, actual ambient illuminance changes, and user manual correction behavior. The update and optimization module also periodically updates the weighting coefficients in the demand analysis module, the weighting coefficients in the coordination decision module, the preset demand fulfillment threshold, the reference dwell time corresponding to various activity intentions, the target brightness mapping rule, the target color temperature mapping rule, and the safety-sensitive traction rule table based on the consistency between the automatic control results and the user's final acceptance results in the historical samples. This improves the long-term adaptive control capability of the multi-user and multi-biological intention coordinated lighting control system.

[0084] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0085] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0086] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0088] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A multi-user and multi-bio intent coordinated lighting control method, characterized by, Includes the following steps: The control terminal receives raw sensing data uploaded by multimodal sensor components within the target shared space, assigns timestamps under a unified time reference to raw sensing data from different sources, and performs outlier removal, noise suppression, data alignment, and spatial mapping processing to form unified temporal sensing data. Within the continuous analysis window, multi-source sensing data are correlated and analyzed. Sensing results that are adjacent in time, close in space, and continuous in motion are grouped into observation records corresponding to the same active subject, forming a subject-level observation chain, and further generating a subject-level state set. The control terminal continuously analyzes the state records of each subject in the subject-level state set to identify the activity intention of each subject within the current analysis window, and converts the identified activity intention into lighting demand items. Each lighting demand item includes at least the demanding subject, target lighting area, target brightness, target color temperature, and duration. For each lighting requirement, a comprehensive quantity for the establishment of the main lighting requirement is determined based on behavior and area anchoring parameters, continuous stay confirmation parameters, and time period context matching parameters. The comprehensive quantity for the establishment of the main lighting requirement is then compared with a preset requirement establishment threshold to filter out the established lighting requirements. For each established lighting requirement item, the control terminal determines the priority coordination execution quantity based on the corresponding main lighting demand establishment quantity, safety sensitive traction parameter, and cross-subject interference cost parameter. The cross-subject interference cost parameter is determined by the overlapping influence of target lighting areas and the spillover influence of lamp illumination. The control terminal sorts and layers the priority coordination execution quantities corresponding to each established lighting requirement item, and combines the overlapping relationship between target lighting areas and the mutual interference between different subjects to determine the current primary lighting requirement item and secondary lighting requirement item, thereby generating a target lighting control scheme. The safety-sensitive traction parameters are determined by the control terminal by calling a preset rule table based on the subject category, current behavior status, and current time period. The sorting and stratification process based on the coordination execution priority aggregate quantity corresponding to each established lighting demand item includes: when the difference between the coordination execution priority aggregate quantity corresponding to the first-ranked lighting demand item and the coordination execution priority aggregate quantity corresponding to the second-ranked lighting demand item is greater than or equal to a preset priority difference threshold, the first-ranked lighting demand item is determined as the current master lighting demand item; when the difference between the coordination execution priority aggregate quantity corresponding to the first-ranked lighting demand item and the coordination execution priority aggregate quantity corresponding to the second-ranked lighting demand item is less than the preset priority difference threshold, the first-ranked lighting demand item is not directly determined as the current master lighting demand item, but is further combined with the overlap relationship between target lighting areas and the corresponding cross-subject interference cost parameters for stratification; when there are two or more lighting demands... When the overall coordination execution priority of each item is greater than or equal to the preset high priority threshold, and the corresponding target lighting areas are separated from each other or overlap less than the preset overlap threshold, and the corresponding cross-subject interference cost parameter is less than or equal to the preset low interference threshold, multiple lighting requirement items are simultaneously included in the target lighting control scheme, and corresponding brightness and color temperature control are executed for different target lighting areas respectively; when there are two or more lighting requirement items whose overall coordination execution priority is greater than or equal to the preset high priority threshold, but their target lighting areas overlap, or the corresponding cross-subject interference cost parameter is greater than or equal to the preset high interference threshold, the primary lighting requirement item is determined according to the overall coordination execution priority, and secondary lighting requirement items are handled by local compensation lighting, low interference guiding lighting, gradual transition or delayed execution methods. The control terminal converts the target lighting control scheme into control commands that can be directly executed by the lighting equipment, and sends control commands to the corresponding lamps in the order of execution.

2. The multi-user and multi-biological intent coordinated lighting control method according to claim 1, characterized in that: The correlation analysis of multi-source sensing data within a continuous analysis window includes: matching the observation results of the same subject in different sensors based on the position change relationship, movement direction continuity relationship, trigger area switching relationship, and subject category determination result of the active target at adjacent analysis times to form a subject-level observation chain; when forming a subject-level state set, the continuity of the state records of the same subject in adjacent analysis windows is checked. When the position change, movement direction change, and subject category determination result of the subject in adjacent analysis windows meet the preset continuity conditions, they remain as the same subject identifier. When the state difference in adjacent analysis windows exceeds the preset separation threshold, a new subject identifier is generated; each subject state record in the subject-level state set includes at least the subject identifier, subject category, current position, movement direction, continuous dwell time, and current behavior state.

3. The multi-user and multi-biological intent coordinated lighting control method according to claim 1, characterized in that: The intentions of the activities include reading intention, rest intention, passage intention, companionship intention, short stay intention, pet passing through intention, and pet staying intention; The process of converting the identified activity intent into a lighting requirement includes: determining the requesting subject by the subject identifier; determining the target lighting area by the current location, activity intent, and a shared space preset area model; determining the target brightness and target color temperature by a preset light effect rule table corresponding to the activity intent; and determining the duration by the activity intent type and continuous dwell time.

4. The multi-user and multi-bio intent coordinated lighting control method of claim 3, wherein: The overall quantity of the main lighting request is determined by a combination of behavior and area anchoring parameters, continuous stay confirmation parameters, and time period context matching parameters. When the overall quantity of the main lighting request is greater than or equal to the preset request establishment threshold, the corresponding lighting request item is determined to be established, and the corresponding lighting request item is sent to sorting and hierarchical processing. When the total number of valid main lighting requests is less than the preset threshold for valid requests, the corresponding lighting requirement item will be retained as a candidate observation item.

5. The multi-user and multi-bio intent coordinated lighting control method of claim 1, wherein: The behavior and region anchoring parameters are determined by the number of valid observations within a preset observation window that simultaneously satisfy the condition of being located within the target lighting area and maintaining a consistent current behavior state, and the total number of valid observations of the corresponding subject within that observation window; the continuous stay confirmation parameter is determined by normalizing the continuous stay duration of the corresponding subject within the target lighting area relative to the reference stay duration corresponding to the category to which the current activity intention belongs; The time period context matching parameter is determined by whether the current time period matches the activity intention, whether the spatial function of the current location matches the activity intention, and whether the current behavioral state matches the activity intention.

6. The multi-user and multi-bio intent coordinated lighting control method of claim 1, wherein: The coordinated execution priority comprehensive quantity is determined by comprehensively considering the main lighting demand establishment comprehensive quantity, safety-sensitive traction parameters, and cross-subject interference cost parameters.

7. The multi-user and multi-bio intent coordinated lighting control method of claim 6, wherein: The cross-subject interference cost parameter is determined by a combination of the target lighting area overlap effect and the lamp illumination spillover effect; the target lighting area overlap effect is determined by the maximum value of the area overlap ratio between the target lighting area corresponding to the current subject and the area where other subjects are located; the lamp illumination spillover effect is determined by the preset light distribution effect matrix of the target lamp on each non-target area, combined with the presence of other subjects in each non-target area and the importance of each non-target area, and then normalized.

8. The multi-user and multi-bio intent coordinated lighting control method of claim 1, wherein: During the execution of the target lighting control scheme by the lighting equipment, the control terminal continuously receives feedback status from the luminaires and environmental feedback information. When a deviation is detected between the actual lighting result and the target lighting control scheme, the latest feedback information is written back to the subject-level state set and the lighting demand item set, and the updates of the subject lighting demand establishment comprehensive quantity, the coordination execution priority comprehensive quantity, and the target lighting control scheme are triggered again. Incremental updates are performed when only a few subject states change or only a few target lighting areas experience abnormal fluctuations in ambient illuminance. Full updates are performed when the number of subjects in the shared space changes significantly, multiple target lighting areas experience light disturbances simultaneously, or the overall situation changes due to time period switching. Furthermore, key data from each control process is stored to form historical samples, and the parameters corresponding to the subject lighting demand establishment comprehensive quantity, the parameters corresponding to the coordination execution priority comprehensive quantity, the preset demand establishment threshold, the reference dwell time corresponding to various activity intentions, the target brightness mapping rule, the target color temperature mapping rule, and the safety sensitive traction rule table are periodically updated based on the historical samples.

9. A multi-user and multi-bio intent coordinated lighting control system, characterized by, The control system is used to implement the method according to any one of claims 1-8, including a multimodal sensor component, a lighting device, and a control terminal. The control terminal is communicatively connected to the multimodal sensor component and the lighting device. The control terminal is provided with a perception modeling module, a demand analysis module, a coordination decision-making module, an execution feedback module, and an update optimization module. The perception modeling module is used to receive raw perception data uploaded by multimodal sensor components, assign timestamps under a unified time base to raw perception data from different sources, and perform outlier removal, noise suppression, data alignment and spatial mapping to form unified temporal perception data, and form a subject-level observation chain and a subject-level state set. The demand analysis module is used to identify the activity intentions of each subject, generate lighting demand items, and determine the overall quantity of the subject's lighting demand to filter out valid lighting demand items. The coordination decision module is used to determine the coordination execution priority comprehensive quantity, and sort and hierarchically process multiple established lighting demand items based on the coordination execution priority comprehensive quantity to generate a target lighting control scheme. The execution feedback module is used to convert the target lighting control scheme into control commands that can be directly executed by the lighting equipment, and to receive feedback status of the lighting fixtures and environmental feedback information during the execution process of the lighting equipment; The update and optimization module is used to trigger the updating of the main lighting demand establishment comprehensive quantity, the coordination execution priority comprehensive quantity, and the target lighting control scheme when a deviation is detected between the actual lighting result and the target lighting control scheme. It also periodically updates the relevant parameters and rule tables based on historical samples.

Citation Information

Patent Citations

  • Illumination intelligent control method and system based on direct connection of Internet of Things

    CN118338491A

  • Light control method and system based on holographic interactive projection technology

    CN119562417A