MCU mode control circuit and method

Abstract

The invention discloses an MCU mode control circuit and method, and relates to the technical field of intelligent lighting control, a target lighting area is divided into a plurality of sub-areas through a segmentation module, and each sub-area is provided with an independent MCU, an independent sensor and an independent lighting device. And the detection module comprises a first mode, a second mode and a third mode which are respectively used for predicting that a user enters the sub-regions, detecting the activities of the user in the sub-regions in real time and judging the requirements of merging or splitting the multiple sub-regions. The control module executes preloading, real-time adjustment and region merging / splitting operations of lighting parameters based on information generated by each mode. According to the application, user activities and environment changes are sensed cooperatively through multiple sensors, cooperative control among the sub-regions is realized in combination with a distributed decision algorithm, and the flexibility, energy efficiency and user experience of the system are improved. Through the method, a personalized, energy-saving and efficient illumination solution can be provided.

Description

Technical Field

[0001] The present application relates to the field of intelligent lighting control technology, and in particular to an MCU mode control circuit and method. Background Art

[0002] With the development of intelligent lighting technology, more and more solutions have been proposed to improve the energy efficiency and user experience of lighting systems. For example, the Chinese patent with the authorization announcement number CN111757569B discloses an intelligent lighting control method that simulates the daylight spectrum mode. This method is mainly used in long-term workplaces. Through zoning control and strategies coordinated with daylight, energy saving and a lighting environment that conforms to physiological rhythms are achieved. The patent proposes a method of dividing areas based on the distance from the window, and automatically adjusts the brightness and color temperature of the lighting in each area through light sensors in different areas to simulate the changes in natural daylight.

[0003] However, the above methods have some shortcomings. For example, the solution mainly focuses on the linkage control of natural light and artificial lighting, but in practical applications, its real-time response to user activities is limited. In addition, the method mainly controls through fixed adjustment strategies, fails to fully consider the real-time activity status and personalized needs of users, and has weak flexibility and adaptability in complex and changing usage scenarios. These limitations mean that the existing lighting system still has a lot of room for improvement in user experience and energy efficiency optimization. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application discloses an MCU mode control circuit and method.

[0005] In a first aspect, the present application provides an MCU mode control circuit, comprising: A segmentation module, used to divide the target lighting area into a plurality of sub-areas; wherein each sub-area is provided with at least one lighting device, a sensor, and an MCU; The detection module includes: a first mode, a second mode, and a third mode; wherein the first mode includes: in response to there being no user in a certain sub-area and detecting that a user is about to enter the sub-area, generating first mode information; the second mode includes: in response to the presence of a user in a certain sub-area, detecting the user's position, activity type, and scene information in real time, generating second mode information; the third mode includes: in response to the presence of a user in at least two sub-areas in the target lighting area, detecting the user activity density and activity type in the sub-area where the user is present, generating third mode information; The control module controls the lighting device, the sensor, and the MCU in the target lighting area to execute a preset lighting strategy based on at least one of the first mode information, the second mode information, and the third mode information.

[0006] As an optional implementation, the first mode further includes: detecting the acceleration and direction of the user through a motion sensor, determining the user's moving path based on historical data and real-time data, and determining whether the user is about to enter a certain sub-area; wherein the historical data includes: historical movement data and historical preference data; The lighting strategy includes: based on the first mode information, controlling the MCU of the sub-area to preload the lighting parameter data preset for the sub-area; wherein the lighting parameter data includes: brightness, color temperature, scene mode and user preference.

[0007] As an optional implementation manner, the second mode further includes: The sensors in the sub-areas detect the user's location, activity type, and scene information in real time; The lighting strategy includes: determining scene requirement information of the sub-area based on the second mode information, and adjusting the lighting equipment of the sub-area based on the scene requirement information.

[0008] As an optional implementation manner, the third mode further includes: Detecting user activity density and activity type through sensors inside the target lighting area; The lighting strategy includes: determining the multi-sub-area merging requirement information based on the third mode information; and merging the adjacent multiple sub-areas into a large area based on the multi-sub-area merging requirement information; wherein the lighting equipment, sensors, and MCU in the large area will be uniformly adjusted; Based on the third mode information, determine the splitting requirement information of the large area merged by multiple sub-areas; and based on the splitting requirement information, restore the large area to multiple independent sub-areas before the merger, and restore the independent control status of the lighting equipment, sensors, and MCU inside each sub-area.

[0009] As an optional implementation manner, the determining the multi-sub-region merging requirement information includes: The user activity state detected by the motion sensor and the sound sensor is identified to determine the current activity type; in response to the user activity density in the adjacent sub-area being greater than or equal to a preset value, and the current activity type in the adjacent sub-area being a first preset activity, multiple adjacent sub-areas are merged into one large area.

[0010] As an optional implementation manner, the determining the splitting requirement information of the large area merged from the multiple sub-areas includes: In response to the user activity density in the large area being lower than a preset value and the current activity type in the large area being a second preset activity, the large area is restored to the multiple independent sub-areas before the merger.

[0011] As an optional implementation, the sensor includes: a motion sensor, a sound sensor, a light sensor, and a temperature sensor; wherein: The motion sensor is used to detect the user's acceleration, direction and activity frequency; The sound sensor is used to capture volume and spectrum changes in the environment; The light sensor is used to monitor changes in ambient light intensity; The temperature sensor is used to monitor changes in ambient temperature to assist in adjusting the color temperature of the lighting device.

[0012] As an optional implementation, a communication network is provided between the MCUs of each sub-area; the communication network is used to enable the MCUs of each sub-area to share the first mode information, the second mode information, and the third mode information of each sub-area.

[0013] As an optional implementation manner, the MCU of each sub-area adopts a distributed decision algorithm based on the shared first mode information, the second mode information, and the third mode information to jointly determine the merging requirement information and the splitting requirement information; The distributed decision algorithm includes: the MCU of each sub-area receives and analyzes the shared pattern information, and independently calculates the local merge or split suggestions based on the preset user activity density threshold and activity type; The MCU of each sub-area sends the locally calculated merge or split suggestion to the MCU of the adjacent sub-area through the communication network; The MCU of each sub-region adopts a distributed consensus algorithm to vote on the collected merger or split suggestions; when the preset consensus conditions are reached, the final merger requirement information or the split requirement information is determined.

[0014] In a second aspect, the present application also provides an MCU mode control method, comprising: Divide the target lighting area into a plurality of sub-areas; wherein each sub-area is provided with at least one lighting device, a sensor, and an MCU; In response to there being no user in a sub-area and detecting that a user is about to enter the sub-area, generating first mode information; In response to the presence of a user in a certain sub-area, detecting the user's position, activity type, and scene information in real time, and generating second mode information; In response to the presence of users in at least two sub-areas in the target lighting area, detecting user activity density and activity type in the sub-areas where the users are located, and generating third mode information; Based on at least one of the first mode information, the second mode information, and the third mode information, the lighting device, the sensor, and the MCU within the target lighting area are controlled to execute a preset lighting strategy.

[0015] Compared with the prior art, the beneficial effects of the present invention are: flexible lighting control is achieved by dynamically managing the merging and splitting of sub-areas, and the lighting range is automatically adjusted according to the density and type of user activities; lighting parameters are preloaded in advance based on user historical behavior and real-time data to ensure that users can enjoy a personalized lighting experience when entering a sub-area; user activities and environmental changes are perceived through multi-sensor collaboration to accurately adjust the lighting; a distributed decision-making algorithm is used to achieve collaborative control of the MCUs of each sub-area, thereby improving the robustness and response speed of the system; at the same time, the energy efficiency and user experience of the lighting system are significantly improved through real-time adjustment strategies and efficient energy consumption management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of the system structure of the MCU mode control circuit provided in an embodiment of the present disclosure; Figure 2 A flowchart of the MCU mode control method provided in an embodiment of the present disclosure.

[0017] Figure numerals: 10, segmentation module; 20, detection module; 30, control module. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0019] See also Figure 1 , Figure 1 A schematic diagram of the system structure of the MCU mode control circuit provided in the embodiment of the present disclosure includes: A segmentation module 10, for dividing the target lighting area into a plurality of sub-areas; wherein each sub-area is provided with at least one lighting device, a sensor, and an MCU; The detection module 20 includes: a first mode, a second mode, and a third mode; wherein the first mode includes: in response to the presence of a user in a sub-area and the detection of a user about to enter the sub-area, generating first mode information; the second mode includes: in response to the presence of a user in a sub-area, real-time detection of the user's position, activity type, and scene information, generating second mode information; the third mode includes: in response to the presence of a user in at least two sub-areas in the target lighting area, detecting the user activity density and activity type in the sub-area where the user exists, generating third mode information; The control module 30 controls the lighting device, the sensor, and the MCU in the target lighting area to execute a preset lighting strategy based on at least one of the first mode information, the second mode information, and the third mode information.

[0020] The detection module 20 and the control module 30 can be built into the MCU of each sub-area. The entire target lighting area can be equipped with a central controller for deploying the segmentation modules 10, and the control module 30 is used to control the entire target lighting area.

[0021] In a specific implementation, the segmentation module 10 is used to divide the target lighting area into multiple sub-areas. Each sub-area is equipped with at least one lighting device, sensor and MCU to achieve independent control of the sub-area. The principle of segmentation is to divide a large area into multiple independently controllable sub-areas based on the functionality of the space and the characteristics of user activities. For example, an open office can be divided into several workstation areas, and corresponding lighting devices and sensors are set in each area to collect data such as ambient light and user activities.

[0022] The detection module 20 is responsible for collecting and analyzing data in different working modes to achieve accurate lighting control. The detection module 20 includes three modes: Among them, the first mode: when there is no user in a sub-area and it is detected that a user is about to enter the sub-area, the first mode is activated. Through this mode, the system generates the first mode information for preloading the lighting parameters of the sub-area to ensure that the lighting equipment is in a preset state before the user enters. For example, by detecting the user's moving path and speed through the motion sensor, the system determines whether the user is about to enter the sub-area and sends a preloading instruction to the MCU.

[0023] Second mode: When there is a user in a sub-area, the second mode is activated. In this mode, the system detects the user's location, activity type and scene information in real time, generates second mode information, and adjusts the brightness, color temperature and other parameters of the lighting equipment in a timely manner. For example, when a user is reading in a sub-area, the system collects the user's activity data through sensors and automatically adjusts the lighting brightness to a level suitable for reading.

[0024] The third mode: When there are users in at least two sub-areas within the target lighting area, the third mode is activated. In this mode, the system detects the user activity density and activity type, and generates the third mode information to determine whether it is necessary to merge adjacent sub-areas into a large area or restore them to independent sub-areas. For example, when holding a meeting in an office, the user activity density of multiple adjacent sub-areas is high. The system merges the sub-areas through the third mode to uniformly manage the lighting equipment and provide a lighting environment suitable for the meeting.

[0025] The control module 30 controls the lighting equipment, sensors and MCU in the target lighting area to execute the preset lighting strategy according to the first mode information, the second mode information and the third mode information generated by the detection module 20. The main functions of this module include: Based on the first mode information: when a user is about to enter a sub-area, preload the lighting parameter data of the sub-area, such as brightness, color temperature and scene mode, to ensure that the lighting is ready before the user enters.

[0026] Based on the second mode information: adjust the lighting equipment in the sub-area in real time, optimize the lighting effect according to the user's activity type and scene requirements, such as automatically adjusting the brightness and color temperature.

[0027] Based on the third mode information: Dynamically merge or split sub-areas. When the user activity density is high or a specific activity type occurs, the adjacent sub-areas are merged into a large area and the lighting equipment is adjusted uniformly; when the user activity density decreases, the independent control state of the sub-areas is restored to ensure the reasonable allocation of lighting resources and energy efficiency optimization.

[0028] In a specific implementation, the system is initialized: when the system starts, the segmentation module 10 divides the target lighting area into multiple sub-areas, and the MCU in each sub-area is initialized and connected to the communication network. When the user enters the range of a sub-area, the detection module 20 enters the first mode, predicts that the user is about to enter the sub-area, and triggers the MCU to preload the corresponding lighting parameters. After the user enters the sub-area, the detection module 20 switches to the second mode, collects user data in real time and adjusts the lighting equipment to ensure that the lighting environment meets user needs. If it is detected that the user activity density in adjacent sub-areas is high, the system merges the sub-areas through the third mode for unified lighting control; when the user activity density decreases, the system automatically splits the sub-areas and restores independent control of each sub-area.

[0029] Exemplarily, in an open office space, the segmentation module 10 divides the space into several sub-areas, each of which is equipped with an MCU, lighting equipment and sensors. When an employee enters the office space, the first mode of the detection module 20 is activated, and the lighting parameters of the area are preloaded in advance. When the employee is active at the workstation, the system switches to the second mode and adjusts the lighting in real time to meet work needs. If the user activity density in multiple adjacent areas is high within a certain period of time, such as team collaboration, the system merges these sub-areas through the third mode and uniformly adjusts the lighting to provide the lighting environment required for collaboration. After the activity is over, the system automatically splits the sub-areas according to the actual situation and resumes independent control.

[0030] In this way, the MCU mode control circuit of the present invention can efficiently manage and optimize the intelligent control of the lighting area, thereby improving the flexibility, energy efficiency and user experience of the lighting system.

[0031] As an optional implementation, the sensor includes: a motion sensor, a sound sensor, a light sensor, and a temperature sensor; wherein: The motion sensor is used to detect the user's acceleration, direction and activity frequency; The sound sensor is used to capture volume and spectrum changes in the environment; The light sensor is used to monitor changes in ambient light intensity; The temperature sensor is used to monitor changes in ambient temperature to assist in adjusting the color temperature of the lighting device.

[0032] Among them, the motion sensor (such as accelerometer, infrared sensor) is used to detect the acceleration, movement direction and activity frequency of the user. Through these data, the user's activity trajectory is tracked in real time to determine whether the user is stationary, walking or in a high-frequency activity state. For example, when it is detected that the user moves frequently in a certain sub-area, the detection module 20 can identify that the user is performing high-activity behaviors such as exercise, standing meeting, etc.

[0033] The sound sensor is used to capture the sound changes in the environment, including volume and spectral characteristics. By analyzing the sound data, the user's activity type is identified, such as talking, playing music, or resting quietly. For meeting scenes, the control module 30 can automatically adjust the lighting to a moderate brightness and cool color temperature by identifying continuous conversations and high volume, thereby enhancing the concentration of the meeting.

[0034] The light sensor is used to monitor the change of ambient light intensity in real time. When the external light changes significantly, such as the daylight gradually weakens or the outdoor weather suddenly gets dark, the control module 30 can automatically adjust the indoor lighting brightness to maintain a stable light level to ensure that the user is always in a suitable lighting environment.

[0035] The temperature sensor is used to monitor the temperature changes in the sub-area and assist in adjusting the color temperature of the lighting equipment. The control module 30 adjusts the color temperature of the lighting according to the ambient temperature to provide a more comfortable lighting experience. For example, in a high temperature environment, the system may adjust to a cool color temperature to reduce visual fatigue and provide a cool feeling; while in a low temperature environment, it adjusts to a warm color temperature to increase comfort and warmth.

[0036] In a specific implementation, the data from each sensor is integrated and analyzed by the control module 30, and the lighting parameters are dynamically adjusted according to the integrated sensor data.

[0037] In this way, through the collaborative work of multiple sensors, the control module 30 can accurately perceive the user's multi-dimensional activities and environmental changes, thereby making more precise lighting adjustments.

[0038] As an optional implementation, the first mode further includes: detecting the acceleration and direction of the user through a motion sensor, determining the user's moving path based on historical data and real-time data, and determining whether the user is about to enter a certain sub-area; wherein the historical data includes: historical movement data and historical preference data; The lighting strategy includes: based on the first mode information, controlling the MCU of the sub-area to preload the lighting parameter data preset for the sub-area; wherein the lighting parameter data includes: brightness, color temperature, scene mode and user preference.

[0039] In a specific implementation, motion sensors deployed in the sub-areas, such as accelerometers, passive infrared sensors, and ultrasonic sensors, can be used to collect the acceleration and direction change data of the user. For example, when a user walks from an office area to a conference room, the sensor can detect the user's movement acceleration and direction change.

[0040] In addition, the user's movement path can be predicted by analyzing the user's historical movement data and real-time data using path prediction algorithms (such as Kalman filtering or Bayesian prediction). For example, combining the user's past movement habits in the office space with the current movement data can predict whether the user will enter a specific sub-area (such as a meeting room).

[0041] When it is predicted that a user is about to enter a sub-area (such as a conference room), the MCU in that area automatically triggers the preloading of lighting parameters.

[0042] Among them, the preloaded lighting parameters may include brightness, color temperature, scene modes, and user preference settings. For example, the preset lighting parameters for a conference room may be high-brightness, cool-toned light to promote concentration. At the same time, based on user preferences, the area may enable specific scene modes such as "conference mode" or "discussion mode." The above preloaded lighting parameters are stored in the local storage of the MCU so that they can be quickly loaded and applied when the user enters. For example, when a user approaches a conference room, the system loads the lighting settings of the conference room in advance to ensure that the light is adjusted to the optimal state when the user enters.

[0043] It is understandable that the above-mentioned user preference settings and user historical movement data (movement habits) analysis are performed based on user identity identification, that is, the preference settings and movement habits of different users may be different.

[0044] For example, an employee walks from the office area to the conference room to attend a meeting. The detection module 20 detects the acceleration and direction of the employee through the motion sensor and predicts that the employee is about to enter the conference room. According to the prediction results, the lighting parameters of the conference room, such as brightness and color temperature, are loaded in advance. In this way, when the employee enters the conference room, the lighting has been adjusted to a state suitable for the meeting, which improves the user experience.

[0045] For example, the user walks from the living room to the bedroom to rest. The detection module 20 captures the user's moving path and speed through the motion sensor and predicts that the user is about to enter the bedroom. The lighting parameters of the bedroom are preloaded in advance, such as low brightness and warm colors, to create a comfortable resting environment. In this way, when the user enters the bedroom, the lighting environment has been adjusted to a suitable state without manual adjustment.

[0046] As an optional implementation, a personalized learning module can be used to continuously accumulate historical behavior data of users and analyze it in combination with real-time sensor data to achieve personalized lighting adjustments.

[0047] In a specific implementation, the detection module 20 can record the lighting parameter settings (such as brightness, color temperature, scene mode) and the corresponding activity type (such as work, rest, party) each time the user uses the sub-area. These data are stored in the local database of the system or in the cloud to form a personalized behavior profile of the user. The historical preference data is analyzed using a machine learning algorithm (such as a recommendation algorithm based on collaborative filtering or a decision tree model) to establish a user's lighting preference model. For example, it can be identified that a user prefers higher brightness and cool color temperature in the working state, and prefers lower brightness and warm color temperature in the resting state.

[0048] When the user enters a sub-area again, the system combines the user activity type, ambient light, time period and other information detected in real time to match the user preference model. The lighting parameters are dynamically adjusted based on the matching results. For example, when the system detects that the user is working at night, the lighting can be automatically adjusted to the user's preferred working mode parameters instead of the default night rest mode.

[0049] In this way, by predicting the user's movement path and preloading lighting parameters in advance, the system can provide the best lighting environment when the user enters the sub-area, avoiding the need for the user to wait or manually adjust after entering. Preloading is only triggered when the user is about to enter a specific area, avoiding unnecessary energy consumption and improving the overall energy efficiency of the system. By analyzing the user's historical behavior and real-time data, the system can flexibly adjust the lighting parameters to meet the personalized needs and preferences of different users.

[0050] As an optional implementation manner, the second mode further includes: The sensors in the sub-areas detect the user's location, activity type, and scene information in real time; The lighting strategy includes: determining scene requirement information of the sub-area based on the second mode information, and adjusting the lighting equipment of the sub-area based on the scene requirement information.

[0051] In a specific implementation, the second mode aims to dynamically adjust the parameters of the lighting equipment by real-time detection of user behavior and environmental changes, and at the same time combine pre-loaded lighting parameters to achieve efficient and flexible lighting control. When a user enters a sub-area, the detection module 20 switches from the first mode to the second mode and starts the real-time monitoring function. The motion sensor (such as an infrared sensor or an ultrasonic sensor) in the sub-area captures the user's location information. By tracking the user's motion path, the control module 30 can accurately determine the user's current activity area.

[0052] Before the user enters the sub-area, the control module 30 has preloaded the initial lighting parameters of the area through the first mode, including brightness, color temperature, and scene mode. These preloaded parameters are based on the user's historical behavior and preferences. For example, if a user enters the office during working hours, the system will preload high brightness and cold color temperature settings suitable for the work scene. Once the user enters, the real-time monitoring function of the second mode will take effect immediately, and the motion sensor and sound sensor will further capture the user's real-time activity status, such as sitting and working, standing and talking, etc.

[0053] Based on these real-time data, the control module 30 will adjust the preloaded lighting parameters to better suit the specific needs of the current user. For example, if the preloaded parameters are high brightness in the working mode, but it is detected in real time that the user begins to relax and rest, the control module 30 will gradually reduce the brightness and adjust it to a softer warm color temperature to suit the user's resting state. Such a dynamic adjustment mechanism ensures that the lighting environment can change with the user's activities, thereby improving the user experience.

[0054] In addition, environmental data provided by light sensors and temperature sensors will also participate in the real-time adjustment process. When the external light intensity changes significantly, such as a sudden cloudy day or sunset, the control module 30 will automatically adjust the indoor lighting brightness to maintain a consistent light level. The temperature sensor helps adjust the color temperature to ensure that the lighting environment remains comfortable under different temperature conditions.

[0055] In this way, the combination of preloading and real-time adjustment can not only quickly respond to the user's initial needs, but also optimize the lighting parameters in time when the user's activities change. Through this continuous intelligent control, a consistent and comfortable lighting experience can be provided in different scenarios, while effectively reducing energy consumption and avoiding over-lighting or unnecessary parameter adjustments.

[0056] As an optional implementation manner, the third mode further includes: Detecting user activity density and activity type through sensors inside the target lighting area; The lighting strategy includes: determining the multi-sub-area merging requirement information based on the third mode information; and merging the adjacent multiple sub-areas into a large area based on the multi-sub-area merging requirement information; wherein the lighting equipment, sensors, and MCU in the large area will be uniformly adjusted; Based on the third mode information, determine the splitting requirement information of the large area merged by multiple sub-areas; and based on the splitting requirement information, restore the large area to multiple independent sub-areas before the merger, and restore the independent control status of the lighting equipment, sensors, and MCU inside each sub-area.

[0057] In a specific implementation, the MCU mode control circuit of the present invention, in the third mode, dynamically determines whether to merge multiple sub-areas into one large area or split the large area back into multiple independent sub-areas by real-time detection of user activity density and activity type, so as to optimize lighting control and resource allocation.

[0058] When multiple sub-areas in the target lighting area detect user activities, the detection module 20 enters the third mode. The motion sensors and sound sensors in each sub-area collect user activity data in real time, including activity frequency, dwell time, and ambient noise level. Through these data, the user activity density in each sub-area can be determined. For example, in an open office space, the detection module 20 detects frequent user activities in multiple adjacent workstations through sensors, especially during team collaboration or discussion, the user activity density is significantly increased.

[0059] After determining that the user activity density reaches a preset threshold, the activity types of these sub-areas are analyzed. If the user activity types in multiple adjacent sub-areas are consistent, for example, they are all meetings or gatherings, the control module 30 determines that there is a need to merge these sub-areas and issues a merge instruction to merge these adjacent sub-areas into a large area. After the merger, the lighting devices, sensors and MCUs in all merged areas will be managed according to a unified lighting strategy, such as adjusting the brightness and color temperature suitable for meetings or gatherings, providing a consistent lighting environment and improving user experience.

[0060] After the merger is completed, the user activity status in the large area continues to be monitored. When it is detected that the user activity density drops below the preset threshold and the activity type changes, such as from a high-density meeting to a low-density personal work state, the system will trigger the split mechanism. The control module 30 issues a split instruction based on real-time data and activity type judgment to split the original large area back into independent sub-areas. After the split, the lighting equipment, sensors and MCU of each sub-area resume independent control and operate according to their respective lighting strategies to avoid unnecessary energy waste.

[0061] For example, in a large open office space, a team finishes a meeting and the members disperse back to their respective workstations. At this time, the detection module 20 detects that the activity density in the meeting area has decreased, and the control module 30 automatically restores the meeting area to multiple independent workstation areas, and each area adjusts the lighting brightness and color temperature according to individual work needs, thereby achieving accurate and energy-saving lighting management.

[0062] In this way, through the dynamic merging and splitting functions of the third mode, the present invention can flexibly respond to different activity needs of users and provide efficient and personalized lighting control in multiple users and multiple scenarios. At the same time, this dynamic management mechanism can effectively improve energy efficiency, optimize resource allocation, and meet diverse needs in complex environments.

[0063] As an optional implementation manner, the determining the multi-sub-region merging requirement information includes: The user activity state detected by the motion sensor and the sound sensor is identified to determine the current activity type; in response to the user activity density in the adjacent sub-area being greater than or equal to a preset value, and the current activity type in the adjacent sub-area being a first preset activity, multiple adjacent sub-areas are merged into one large area.

[0064] In the specific implementation, in order to realize the dynamic merging of multiple sub-areas, the system detects the user's activity status and environmental changes in real time to identify the need to merge adjacent sub-areas. Specifically, the system relies on motion sensors and sound sensors to analyze the user's activity density and activity type in each sub-area, so as to determine whether these sub-areas need to be merged into a large area.

[0065] In the specific implementation, the motion sensors in each sub-area continuously collect the user's motion data, including acceleration, movement direction and activity frequency. The sound sensor captures the sound signals in the environment and analyzes the volume changes and spectrum characteristics. For example, in an office, if it is detected that there are multiple users in adjacent sub-areas with frequent activities, and the sound sensor recognizes continuous conversation sounds and audio features unique to meetings, the system can determine that the current activity type is "meeting".

[0066] Once the system identifies that the user activity density in adjacent sub-areas reaches or exceeds the preset value, and the activity type matches the preset high-density activity type such as "meeting" or "party", it will generate merging demand information. Based on this information, the control module 30 performs the area merging operation and integrates the lighting equipment, sensors and MCUs of the relevant sub-areas into the management scope of the large area.

[0067] For example, in an open office space, the detection module 20 detects that employees in three adjacent workstations are participating in a team discussion. The motion sensor records frequent movements and short periods of stillness, and the sound sensor captures the high volume of discussion. The control module 30 recognizes that the current activity type is "team collaboration" and determines that the three sub-areas need to be merged into one large area. The control module 30 then adjusts the lighting strategy to provide a unified lighting environment for the entire large area, such as moderate brightness and cool color temperature, to promote collaboration and communication.

[0068] In this way, the present invention can dynamically identify and respond to the real-time needs of users, automatically adjust the area division and lighting strategy, and ensure that the lighting environment in different activity scenes always meets the user's expectations. In addition, this flexible area management method also effectively improves the energy efficiency of the system and avoids energy waste caused by excessive or insufficient lighting.

[0069] As an optional implementation manner, the determining the splitting requirement information of the large area merged from the multiple sub-areas includes: In response to the user activity density in the large area being lower than a preset value and the current activity type in the large area being a second preset activity, the large area is restored to the multiple independent sub-areas before the merger.

[0070] In the specific implementation, in order to flexibly respond to changes in user needs, the large area after the multiple sub-areas are merged needs to be split at an appropriate time and restored to multiple independent sub-areas. Specifically, by continuously monitoring the user activity density and activity type in the large area, it is determined whether the splitting conditions are met and the corresponding operations are performed.

[0071] In the specific implementation, when multiple sub-areas are merged into a large area, the sensor network continues to work and collects user activity data in real time. The motion sensor monitors the user's acceleration, movement frequency and position change, and the sound sensor captures the ambient volume and spectrum characteristics. The system calculates the user activity density in the current large area based on this data.

[0072] When the user activity density is lower than a preset threshold, for example, most users leave, or the user activities in the area become sparse, the control module 30 will further analyze the activity type. If the detection module 20 detects that the activity type in the current large area has changed to a low-density activity, for example, from "meeting" or "gathering" to "personal work" or "rest", the control module 30 determines that the large area no longer needs to be merged.

[0073] Based on the above determination, the control module 30 generates splitting demand information and performs the area splitting operation to split the large area back into the original multiple sub-areas and restore the independent control of each sub-area. The lighting equipment, sensors and MCU in each sub-area operate according to their own independent lighting strategies. For example, after a meeting in a large area is over, it is detected that the users disperse back to their respective workstations and gradually reduce their activities. The control module 30 automatically splits the meeting area into independent workstation areas, and adjusts the lighting brightness and color temperature of each to meet the user's personal work needs.

[0074] This split mechanism ensures that the system can flexibly adjust when user activities change, meeting the lighting needs of high-density activities and quickly resuming efficient personalized lighting management after the activities to avoid energy waste. In addition, this real-time adjustment capability improves the intelligence level of the system, enabling it to provide users with a consistently suitable lighting environment in different scenarios.

[0075] As an optional implementation, a communication network is provided between the MCUs of each sub-area; the communication network is used to enable the MCUs of each sub-area to share the first mode information, the second mode information, and the third mode information of each sub-area.

[0076] In a specific implementation, the MCUs of each sub-area can be connected via a wired or wireless communication network, for example, using a communication protocol such as Wi-Fi, Zigbee, Bluetooth Mesh or Ethernet. The communication network ensures that each MCU can send and receive mode information of other sub-areas in real time.

[0077] When the MCU of each sub-area is running, the detection module 20 will collect information of the area and generate corresponding mode information, where: First mode information: predict the sub-area that the user is about to enter, and send the preloaded lighting parameter information to the MCU of the sub-area.

[0078] Second mode information: Real-time detection of user location, activity type, and scene information within a sub-area, and sharing with other MCUs to assist in dynamic adjustment between areas.

[0079] Third mode information: when it is detected that the user activity density and activity type meet the merging or splitting conditions, the merging requirement information and the splitting requirement information are shared with the relevant MCUs.

[0080] As an optional implementation manner, the MCU of each sub-area adopts a distributed decision algorithm based on the shared first mode information, the second mode information, and the third mode information to jointly determine the merging requirement information and the splitting requirement information; The distributed decision algorithm includes: the MCU of each sub-area receives and analyzes the shared pattern information, and independently calculates the local merge or split suggestions based on the preset user activity density threshold and activity type; The MCU of each sub-area sends the locally calculated merge or split suggestion to the MCU of the adjacent sub-area through the communication network; The MCU of each sub-region adopts a distributed consensus algorithm to vote on the collected merger or split suggestions; when the preset consensus conditions are reached, the final merger requirement information or the split requirement information is determined.

[0081] In specific implementations, the MCUs of each sub-area can collaboratively determine the need for merging and splitting areas based on shared pattern information through a distributed decision-making algorithm. This mechanism ensures that the entire lighting system can quickly adjust when user activities change, and maintains the efficiency and consistency of overall lighting control.

[0082] The MCU of each sub-region shares real-time first mode information, second mode information, and third mode information through the communication network, forming a decentralized information network. In this network, each MCU can independently analyze the shared information and make preliminary merger or split recommendations based on the situation of itself and the neighboring sub-regions.

[0083] Exemplarily, after each MCU receives the shared mode information, it combines the local sensor data to calculate the user activity density and activity type. For example, the MCU of a sub-area detects that the user activity density in its own area is high, and at the same time receives similar information sent by the MCU of an adjacent sub-area, and determines that regional merging may be required. Based on the preset user activity density threshold and activity type, the MCU independently generates local merge or split suggestions. For example, when the activity density of two adjacent sub-areas exceeds the preset threshold and the activity type is a meeting, the MCU generates a merge suggestion.

[0084] The MCU of each sub-region sends the locally generated merge or split suggestions to the MCU of the adjacent sub-region through the communication network. The MCUs that receive these suggestions will vote and decide the final merge or split operation based on the preset consensus algorithm (such as the Byzantine fault tolerance algorithm or the consensus algorithm based on majority voting).

[0085] When the consensus condition is reached (such as more than a set ratio of MCUs agree to merge or split), the corresponding area merge or split operation is immediately executed. For example, if more than two-thirds of the relevant MCUs agree to merge, the adjacent sub-areas are automatically merged into a large area and the lighting strategy is adjusted.

[0086] For example, in a multifunctional exhibition hall, during an exhibition, it was detected that the density of visitors in different exhibition areas gradually increased. The MCUs of each sub-area analyzed the visitor flow and activity types in the local and neighboring areas through a distributed decision-making algorithm. Finally, a consensus was reached to merge multiple exhibition areas into a large area to provide a unified lighting environment for the entire exhibition. After the exhibition, the distributed decision-making algorithm was used again to determine that the visitor flow returned to normal, and the MCUs of each sub-area reached a consensus to split the large area into independent exhibition areas and restore their respective lighting control strategies.

[0087] In this way, this decentralized control method improves the robustness and scalability of the system, avoids single point failures, and can respond to user needs and environmental changes more efficiently. At the same time, the distributed consensus mechanism ensures the accuracy and consistency of merging and splitting operations, improving user experience and the overall efficiency of the system.

[0088] Based on the same inventive concept, an MCU mode control method corresponding to the MCU mode control circuit is also provided in the embodiment of the present disclosure. Since the principle of solving the problem by the MCU mode control method in the embodiment of the present disclosure is similar to that of the above-mentioned MCU mode control circuit in the embodiment of the present disclosure, the implementation of the method can refer to the implementation of the control circuit, and the repeated parts will not be repeated.

[0089] See also Figure 2 , Figure 2The flowchart of the MCU mode control method provided by the embodiment of the present disclosure includes steps S101 to S105, wherein: S101: Divide the target lighting area into a plurality of sub-areas; wherein each sub-area is provided with at least one lighting device, a sensor, and an MCU; S102: In response to there being no user in a sub-area and detecting that a user is about to enter the sub-area, generating first mode information; S103: In response to the presence of a user in a certain sub-area, detecting the user's position, activity type, and scene information in real time, and generating second mode information; S104: in response to the presence of users in at least two sub-areas in the target lighting area, detecting user activity density and activity type in the sub-areas where the users are located, and generating third mode information; S105: Based on at least one of the first mode information, the second mode information, and the third mode information, control the lighting device, the sensor, and the MCU in the target lighting area to execute a preset lighting strategy.

[0090] The preferred embodiments of the present invention disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details in detail, nor do they limit the present application to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can understand and use the present application well. The present application is limited only by the claims and their full scope and equivalents.

Claims

1. MCU mode control circuit, characterized in that, include: A segmentation module, used to divide the target lighting area into a plurality of sub-areas; wherein each sub-area is provided with at least one lighting device, a sensor, and an MCU; The detection module includes: a first mode, a second mode, and a third mode; wherein the first mode includes: in response to there being no user in a certain sub-area and detecting that a user is about to enter the sub-area, generating first mode information; the second mode includes: in response to the presence of a user in a certain sub-area, detecting the user's position, activity type, and scene information in real time, generating second mode information; the third mode includes: in response to the presence of a user in at least two sub-areas in the target lighting area, detecting the user activity density and activity type in the sub-area where the user is present, generating third mode information; a control module, which controls the lighting device, the sensor, and the MCU in the target lighting area to execute a preset lighting strategy based on at least one of the first mode information, the second mode information, and the third mode information; The first mode further includes: detecting the acceleration and direction of the user through a motion sensor, determining the user's moving path based on historical data and real-time data, and determining whether the user is about to enter a certain sub-area; wherein the historical data includes: historical movement data and historical preference data; The lighting strategy includes: based on the first mode information, controlling the MCU of the sub-area to preload the lighting parameter data preset for the sub-area; wherein the lighting parameter data includes: brightness, color temperature, scene mode and user preference; The lighting strategy includes: determining the multi-sub-area merging requirement information based on the third mode information; and merging the adjacent multiple sub-areas into a large area based on the multi-sub-area merging requirement information; wherein the lighting equipment, sensors, and MCU in the large area will be uniformly adjusted; Based on the third mode information, determine the splitting requirement information of the large area merged by multiple sub-areas; and based on the splitting requirement information, restore the large area to multiple independent sub-areas before the merger, and restore the independent control status of the lighting equipment, sensors, and MCU inside each sub-area.

2. The MCU mode control circuit according to claim 1, characterized in that: The second mode also includes: The sensors in the sub-areas detect the user's location, activity type, and scene information in real time; The lighting strategy includes: determining scene requirement information of the sub-area based on the second mode information, and adjusting the lighting equipment of the sub-area based on the scene requirement information.

3. The MCU mode control circuit according to claim 1, characterized in that: The third mode also includes: The user activity density and activity type are detected by sensors inside the target lighting area.

4. The MCU mode control circuit according to claim 3, characterized in that: The determining of the multi-sub-region merging requirement information includes: The user activity state detected by the motion sensor and the sound sensor is identified to determine the current activity type; in response to the user activity density in the adjacent sub-area being greater than or equal to a preset value, and the current activity type in the adjacent sub-area being a first preset activity, multiple adjacent sub-areas are merged into one large area.

5. The MCU mode control circuit according to claim 4, characterized in that: The determining of the splitting requirement information of the large area merged by multiple sub-areas includes: In response to the user activity density in the large area being lower than a preset value and the current activity type in the large area being a second preset activity, the large area is restored to the multiple independent sub-areas before the merger.

6. The MCU mode control circuit according to claim 5, characterized in that: The sensors include: a motion sensor, a sound sensor, a light sensor, and a temperature sensor; wherein: The motion sensor is used to detect the user's acceleration, direction and activity frequency; The sound sensor is used to capture volume and spectrum changes in the environment; The light sensor is used to monitor changes in ambient light intensity; The temperature sensor is used to monitor changes in ambient temperature to assist in adjusting the color temperature of the lighting device.

7. The MCU mode control circuit according to claim 6, characterized in that: A communication network is provided between the MCUs of each sub-area; the communication network is used to enable the MCUs of each sub-area to share the first mode information, the second mode information, and the third mode information of each sub-area.

8. The MCU mode control circuit according to claim 7, characterized in that: The MCU of each sub-area adopts a distributed decision-making algorithm based on the shared first mode information, the second mode information, and the third mode information to jointly determine the merging requirement information and the splitting requirement information; The distributed decision algorithm includes: the MCU of each sub-area receives and analyzes the shared pattern information, and independently calculates the local merge or split suggestions based on the preset user activity density threshold and activity type; The MCU of each sub-area sends the locally calculated merge or split suggestion to the MCU of the adjacent sub-area through the communication network; The MCU of each sub-region adopts a distributed consensus algorithm to vote on the collected merger or split suggestions; when the preset consensus conditions are reached, the final merger requirement information or the split requirement information is determined.

9. MCU mode control method, characterized in that, include: Divide the target lighting area into a plurality of sub-areas; wherein each sub-area is provided with at least one lighting device, a sensor, and an MCU; In response to there being no user in a sub-area and detecting that a user is about to enter the sub-area, generating first mode information; In response to the presence of a user in a certain sub-area, detecting the user's position, activity type, and scene information in real time, and generating second mode information; In response to the presence of users in at least two sub-areas in the target lighting area, detecting user activity density and activity type in the sub-areas where the users are located, and generating third mode information; Based on at least one of the first mode information, the second mode information, and the third mode information, control the lighting device, the sensor, and the MCU in the target lighting area to execute a preset lighting strategy; The first mode further includes: detecting the acceleration and direction of the user through a motion sensor, determining the user's moving path based on historical data and real-time data, and determining whether the user is about to enter a certain sub-area; wherein the historical data includes: historical movement data and historical preference data; The lighting strategy includes: based on the first mode information, controlling the MCU of the sub-area to preload the lighting parameter data preset for the sub-area; wherein the lighting parameter data includes: brightness, color temperature, scene mode and user preference; The third mode also includes: The user activity density and activity type are detected by sensors inside the target lighting area.

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