Sedentary behavior guiding method and system based on smart home environment regulation

Abstract

The application belongs to the technical field of sedentary behavior guidance, and particularly discloses a sedentary behavior guidance method and system based on smart home environment regulation, wherein the method comprises the following steps: acquiring a space occupation state parameter of at least one functional area in a home space; determining a sedentary risk state according to the space occupation state parameter and the space type of the functional area, and determining a sedentary risk level; determining a building environment regulation strategy of the functional area according to the sedentary risk level and in combination with the space type of the functional area; and regulating at least one building environment parameter in the functional area according to the building environment regulation strategy to realize space guidance of sedentary behavior. The application takes the space occupation state as the recognition object, does not collect personal identity data, is suitable for the scenes of multi-person home, low interference and long-term use. The application changes the health intervention from 'equipment prompting' to non-forced and gradual 'graded environment guidance', and can significantly improve the individual acceptance.

Description

Technical Field

[0001] This invention belongs to the field of sedentary behavior guidance technology, and specifically discloses a method and system for guiding sedentary behavior based on smart home environment control. Background Technology

[0002] With the widespread adoption of information technology, prolonged sitting at home has become increasingly common, and the resulting health risks have become a significant public health issue. Sedentary behavior is defined as sitting or leaning postures with an energy expenditure of ≤1.5 METs (metabolic equivalents) while awake. Medical research has confirmed that prolonged sitting has negative effects on the whole body through physiological and psychological mechanisms: those who sit for more than 8 hours a day without movement have a significantly increased risk of death. Prolonged sitting interferes with metabolism, leading to insulin resistance, which in turn increases the risk of type 2 diabetes, hypertension, and dyslipidemia, while also promoting visceral fat accumulation. It can also cause neck, shoulder, and back strain, increased intervertebral disc pressure, core muscle atrophy, and an increased risk of osteoporosis. Furthermore, prolonged sitting slows blood circulation in the lower limbs, increasing the risk of deep vein thrombosis, and is positively correlated with the risk of colon cancer, breast cancer, and endometrial cancer. From a psychological and cognitive perspective, prolonged sitting increases the risk of anxiety and depression and may lead to cognitive decline.

[0003] Intervention strategies in the medical field to alleviate sedentary behavior include breaking the sedentary lifestyle and increasing low-intensity activity. Studies show that even brief moments of standing up can significantly improve postprandial fluctuations in blood sugar and blood lipids, reducing related risks. Secondly, the cumulative effect of all opportunities for activity in daily life, without conscious effort, is significant, such as getting up to get water, moving around while watching TV, or doing housework. Therefore, to avoid the harms of prolonged sitting, it is important to raise awareness among users about sitting less and moving more.

[0004] Existing technologies typically collect highly sensitive personal biometric information such as facial expressions, pupil diameter, fingerprints, voice, and gait to identify sedentary behavior, thereby improving accuracy and sensitivity. However, existing methods for recognizing sedentary behavior have several problems: 1) The key to sedentary behavior alerts is not more accurate recognition. Sedentary behavior is a daily habitual behavior characteristic, not a judgment of momentary abnormal behavior. Referring to the World Health Organization's definition of sedentary behavior, it refers to various postures such as sitting, leaning, and lying down while awake. Furthermore, the diversity of human posture changes, coupled with the complex obstructions of indoor scenes, indicate that sedentary behavior cannot be simply determined by posture. 2) Collecting and storing highly sensitive personal biometric or identity information in indoor building scenes involves the infringement of personal privacy data and the risk of third-party data leakage and misuse. 3) Existing methods for recognizing sedentary behavior assume that the indoor environment is occupied by a single person. For the problem of recognizing multiple people sitting for extended periods, tags need to be worn by each person for tracking and recording, resulting in large amounts of data and high computational complexity.

[0005] Current methods for determining sedentary behavior primarily use the duration and start and end times of sitting as indicators, comparing the cumulative sitting time with preset time thresholds, and using personal smart audio-visual device usage information (including smart TVs, smart computers, smartphones, and smart readers) for secondary calibration. However, this approach compromises personal data privacy and increases the risk of data leakage and misuse.

[0006] Current methods for reminding users of sedentary behavior typically involve only brief reminders (such as text messages or exercise programs) or alarms using sound, voice, laser, or vibration. The problem with these methods is that they often directly instruct and correct user behavior rather than employing indirect, gradual, and heuristic guidance. Therefore, how to effectively "prompt" is crucial for the design of sedentary behavior guidance methods and systems, yet this has not received sufficient attention.

[0007] In summary, it is necessary to propose a method and system for guiding sedentary behavior based on smart home environment regulation. Summary of the Invention

[0008] The purpose of this invention is to provide a method and system for guiding sedentary behavior based on smart home environment control, so as to solve the technical problems of inaccurate identification and judgment of sedentary behavior and difficulty in forming continuous guidance in existing sedentary behavior guidance methods.

[0009] The first aspect of this invention provides a method for guiding sedentary behavior based on smart home environment control, comprising: Step 1: Obtain the space occupancy status parameters of at least one functional area in the home space; Step 2: Determine the risk status of prolonged sitting based on the space occupancy status parameters and the space type of the functional area, and determine the risk level of prolonged sitting. Step 3: Based on the level of risk of prolonged sitting and the spatial type of the functional area, determine the building environment control strategy for the functional area. Step 4: According to the building environment control strategy, adjust at least one building environment parameter in the functional area to achieve spatial guidance for sedentary behavior.

[0010] Preferably, step 1 specifically includes: Acquire spatial perception data of at least one functional area in the home space, and determine the spatial occupancy status of the functional area based on the spatial perception data; When an interruption or change in the space occupancy status is detected, the space occupancy status parameters are updated.

[0011] Preferably, the spatial sensing data includes at least one of thermal data, pressure data, image data, electromagnetic signal data, and communication data.

[0012] Preferably, step 2 specifically includes: Obtain the spatial type of the functional area; Determine the parameter threshold corresponding to the space occupancy status parameter based on the space type; Based on the space occupancy status parameters and corresponding parameter thresholds, the sedentary risk status is determined, and the sedentary risk level of the functional area is determined.

[0013] Preferably, the space occupancy status parameters include occupancy existence status, occupancy change parameters, occupancy duration status, and spatial distribution status; The spatial distribution state includes spatial distribution range, spatial distribution clustering degree, and spatial occupancy dispersion.

[0014] Preferably, the risk levels of prolonged sitting include at least low risk, medium risk, and high risk.

[0015] Preferably, the building environment parameters include at least one of thermal environment parameters, light environment parameters, wind environment parameters, sound environment parameters, spatial composition parameters, and table and chair control parameters.

[0016] Preferably, step 3 specifically includes: When the sedentary risk level of the functional area is low, a background adjustment control strategy that regulates the light environment parameters and / or wind environment parameters is adopted. When the sedentary risk level of the functional area is medium risk, a coordinated control strategy is adopted to regulate the thermal environment parameters, light environment parameters, and wind environment parameters. When the risk level of prolonged sitting in the functional area is high, a spatial intervention control strategy is adopted to adjust the spatial composition parameters, table and chair control parameters, and acoustic environment parameters.

[0017] A second aspect of the present invention provides a sedentary behavior guidance system based on smart home environment regulation, using the above-mentioned sedentary behavior guidance method based on smart home environment regulation, including a spatial state recognition module, a risk judgment module, a regulation decision module and an environmental execution module connected in sequence; The spatial status recognition module is used to obtain the spatial occupancy status parameters of at least one functional area in the home space. The risk assessment module is used to determine the risk status of prolonged sitting based on the space occupancy status parameters and the space type of the functional area, and to determine the risk level of prolonged sitting. The control decision module is used to determine the building environment control strategy for the functional area based on the sedentary risk level and the spatial type of the functional area. The environmental execution module is used to regulate at least one building environment parameter in the functional area according to the building environment regulation strategy in order to achieve spatial guidance for sedentary behavior.

[0018] The method and system for guiding sedentary behavior based on smart home environment control of the present invention have the following advantages compared with the prior art: This invention uses space occupancy status as the identification object, reduces reliance on individual behavioral data, does not collect personal identity or biometric data, effectively protects personal privacy, and is suitable for scenarios involving multiple people living at home, low interference, and long-term use.

[0019] This invention guides sedentary behavior through architectural environmental elements, achieving continuous intervention without adding extra equipment burden or relying on explicit reminders. It shifts health intervention from "equipment reminders" to non-coercive, gradual "tiered environmental guidance," thereby increasing user acceptance. Attached Figure Description

[0020] Figure 1 This is a flowchart of a method for guiding sedentary behavior based on smart home environment control, as described in an embodiment of the present invention. Detailed Implementation

[0021] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0022] The terminology used in the following description is for the purpose of describing particular embodiments only and is not intended to limit the application. The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0023] A first aspect of this invention provides a method for guiding sedentary behavior based on smart home environment control, such as... Figure 1 As shown, it includes: Step 1: Obtain the space occupancy status parameters of at least one functional area in the home space.

[0024] In this embodiment of the invention, the functional areas in a home space include at least one of a living room, a dining room, a study, and a bedroom.

[0025] In this embodiment of the invention, the space occupancy status parameter is used to characterize the status information of whether there is occupancy within the functional area, the status of occupancy, and its changing characteristics.

[0026] The aforementioned space occupancy status parameters include: status information including space occupancy status (occupancy existence status, occupancy change parameters, occupancy duration status, and spatial distribution status). The occupancy change parameters characterize the frequency of changes in space occupancy status within the functional area; the occupancy duration status may include temporal characteristics such as occupancy duration, cumulative daytime occupancy duration, and occupancy time period.

[0027] The aforementioned spatial distribution status includes spatial distribution range, spatial distribution clustering, and spatial occupancy dispersion.

[0028] Unlike existing technologies that directly identify individual behaviors, the space occupancy status parameters in this invention do not distinguish between specific occupants. Even when the occupant changes within a functional area, the overall occupancy status of that functional area is still used as the continuous analysis object. This avoids dependence on individual identity or behavioral trajectories, improves the privacy and stability of the system, and can adapt to scenarios where multiple people coexist and occupants change in a home environment.

[0029] Step 1 of this embodiment of the invention is specifically as follows: Acquire spatial perception data of at least one functional area in the home space, determine the spatial occupancy status of the functional area based on the spatial perception data, and update the spatial occupancy status parameters when an interruption or change in the spatial occupancy status is detected.

[0030] The aforementioned spatial perception data includes at least one of thermal data, pressure data, image data, electromagnetic signal data, and communication data. In this embodiment of the invention, spatial perception data is obtained through sensing devices deployed within functional areas. For example, thermal data obtained through infrared sensing can be used to determine whether a functional area is occupied and to obtain information such as the location and density of the occupant. The thermal data can be obtained using an occupancy detection sensor or an infrared sensing device. In this embodiment of the invention, pressure data can be obtained using pressure detection devices installed on work surfaces, seats, or the ground to determine whether there is prolonged sitting. Image data in this embodiment of the invention can be obtained using a low-resolution depth sensing device or an image sensor to determine whether there is spatial occupancy, motion changes, or depth changes. Electromagnetic signal data in this embodiment of the invention can be obtained using millimeter-wave radar devices or ultra-wideband indoor positioning systems to obtain indoor occupancy status data. Communication data in this embodiment of the invention can be obtained using a low-power Bluetooth detection device, which can determine whether there are people in the functional area and the time and location of their stay.

[0031] The spatial distribution range and spatial distribution clustering in the spatial distribution state of this invention can be determined through pressure data, electromagnetic signal data, and image data. The spatial distribution range represents the range of the spatial distribution, i.e., the difference between the maximum and minimum values ​​in the x and y directions. In home spatial behavior mapping, the spatial distribution range can reflect the changing characteristics of sedentary behavior within that functional area. The aforementioned spatial distribution clustering can be characterized using the spatial distribution standard deviation. The spatial distribution standard deviation measures the variability of the spatial distribution of sedentary behavior. In personal home spatial behavior mapping, the spatial distribution standard deviation can represent the degree of variability in activity within functional areas.

[0032] Furthermore, embodiments of the present invention can use spatial occupancy dispersion to characterize an individual's occupancy status of different functional areas.

[0033] The spatial distribution range, spatial distribution clustering, and spatial occupancy dispersion of the embodiments of the present invention are statistical characteristics, which need to be normalized before use.

[0034] This invention identifies sedentary behavior by considering spatial distribution range, spatial distribution clustering, and spatial occupancy dispersion. Spatial distribution refers to the distribution of human activity in space, which helps in understanding the intensity and mobility of activity in different areas. This invention does not rely on a single time threshold for judgment, thus overcoming the limitations of using a single time threshold to determine sedentary behavior.

[0035] Step 2: Determine the risk level of prolonged sitting based on space occupancy parameters and the spatial type of functional areas. Specifically: Step 2.1: Obtain the spatial type of the functional area. The spatial type characterizes the usage attributes of that area. For example, distinguish between focused sedentary behavior and leisure-based sedentary behavior. Existing research shows that focused sedentary activities such as reading and playing chess are positively correlated with subsequent subjective well-being and cognitive improvement; therefore, they should be differentiated.

[0036] Step 2.2: Determine the parameter thresholds corresponding to the space occupancy status parameters based on the space type. As mentioned earlier, the space occupancy status parameters include occupancy presence status, occupancy change parameters, occupancy duration status, and spatial distribution status. The duration threshold is preset based on the functional area type or obtained through historical behavior data statistics. The occupancy presence status determines whether there is human activity occupying the functional area, i.e., whether someone is present or not. The occupancy change parameter is the number of times a user switches from one functional area to another within a preset time window. When the spatial perception data shows a change, it is recorded as one occupancy change. The occupancy duration status is the cumulative time a user is continuously located in the same functional area within a preset time window. The continuous occupancy status is obtained by periodically sampling the spatial perception data. When the sampling results indicate that the user is located in the same functional area for multiple consecutive sampling periods, it is determined to be continuous occupancy. The spatial distribution status is used to characterize the distribution characteristics of the user among multiple functional areas, including the spatial distribution range and / or spatial distribution dispersion.

[0037] In this embodiment of the invention, different space types correspond to different sets of parameter thresholds. For example, the duration threshold for a study is greater than the duration threshold for a living room, and the occupancy change frequency threshold for a study is less than the occupancy change frequency threshold for a living room.

[0038] The parameter threshold is obtained in relation to the functional area type. Preferably, at least one of the following methods is used: The system uses preset rules to pre-set parameter thresholds based on the usage characteristics of different functional areas. For example, focused spaces and leisure spaces may have different duration thresholds and frequency thresholds. Historical data statistics method: Based on historical behavioral data, statistical analysis is performed to extract the behavioral distribution characteristics of different functional areas, and the statistical quantile or mean interval is used as the parameter threshold. The adaptive update method dynamically adjusts parameter thresholds based on long-term user behavior data to match the thresholds with individual behavior patterns.

[0039] Step 2.3: Determine the sedentary risk status based on the space occupancy status parameters and the corresponding parameter thresholds to determine the sedentary risk level of the functional area.

[0040] The risk levels of prolonged sitting in this invention can be divided into at least three levels: low risk, medium risk, and high risk. A high risk level is defined as follows: when the duration of occupancy exceeds a time threshold, the number of occupancy changes is lower than a change frequency threshold, and the spatial distribution is concentrated. A medium risk level is defined as the condition that only partially meets the above conditions. A low risk level is defined as the condition that none of the above conditions are met.

[0041] The logic for assessing the risks of prolonged sitting is as follows: Step 2.3.1: Compare the occupied duration parameter with the duration threshold of the corresponding functional area; Step 2.3.2: Compare the number of changes parameter with the number of changes threshold; Step 2.3.3: Compare the spatial distribution statistical parameters with the corresponding thresholds; The above-mentioned judgment logic can be implemented using a hierarchical judgment structure or a weighted comprehensive scoring method. For example, an embodiment of the present invention can use the following scheme to determine the risk level of prolonged sitting: Option 1: Based on preset rules, propose a threshold combination-based method for determining the risk level of prolonged sitting.

[0042] This scheme uses the duration of occupancy, occupancy variation parameters, and spatial distribution as risk assessment parameters. If the duration of occupancy is greater than or equal to the first threshold, the occupancy variation parameters are less than or equal to the second threshold, and the spatial distribution is greater than or equal to the third threshold, the space is classified as a medium or high-risk occupancy state. For example, when there is intermittent occupancy and the spatial distribution is scattered, it is considered a low-risk level; when the space is continuously occupied but there are occupancy variations, it is considered a medium-risk level; and when the occupancy is highly continuous and the spatial distribution is highly concentrated, it is considered a high-risk level.

[0043] Option 2: For different spaces, propose a sedentary risk level assessment based on the weight of functional space type.

[0044] Because different types of sedentary behavior carry varying risks, it's necessary to distinguish between focused and leisure-oriented sedentary activities. For example, reading, using a computer, playing chess, and playing cards all fall under the category of intellectually stimulating sedentary activities, which help activate cognition and carry relatively low risk. Conversely, watching television, socializing, and aimless sitting are all considered passive sedentary activities with relatively high risk. Therefore, under the same spatial occupancy conditions, different functional space types are weighted differently: the living room is considered high-risk, the dining room medium-risk, and the study low-risk. The judgment logic uses the spatial occupancy status as the base risk level, multiplied by the space type weight to adjust the sedentary risk level.

[0045] Through the above methods, this invention transforms from "behavioral posture recognition" to "space occupancy status determination". That is, it takes functional areas as the analysis object and space occupancy status parameters as the judgment basis to establish the correlation between space type and occupancy status, thereby improving the environmental adaptability of risk assessment and the targeted nature of control.

[0046] Step 3: Based on the risk level of prolonged sitting and the spatial type of the functional area, determine the building environment control strategy for the functional area.

[0047] Step 4: Based on the building environment control strategy, adjust at least one building environment parameter in the corresponding functional area to achieve spatial guidance for sedentary behavior.

[0048] The environmental control parameters in this invention include at least one of the following: thermal environment parameters, light environment parameters, wind environment parameters, acoustic environment parameters, spatial composition parameters, and table and chair control parameters.

[0049] For example, embodiments of the present invention implement a graded environmental control strategy based on the level of risk of prolonged sitting.

[0050] The architectural space guidance strategy adopts a multi-stage parameter coordination strategy, prioritizing the natural adjustment mode and taking local priority over global adjustment mode as the basic principle.

[0051] When the risk level of prolonged sitting is low, a background regulation strategy is adopted to adjust the light and / or wind environment parameters. The environmental execution module prioritizes environmental regulation operations based on natural ventilation or natural lighting conditions. The atmosphere of the indoor environment affects the user's health and work efficiency. Existing research has confirmed that adequate ventilation increases learning and work efficiency by 7.7%, and spatial lighting has a positive impact on mood and cognitive performance, while excessive indoor heat or high CO2 concentration can lead to fatigue and low efficiency. This invention prioritizes slight adjustments to the natural environment, such as natural ventilation, natural lighting, and solar thermal radiation, to create potential behavioral cues. These cues include any one or more combinations of the following: (1) Natural lighting (light transmittance, indoor / outdoor shading status) can be achieved through smart curtain control.

[0052] (2) The sound source control of the natural sound environment (outdoor crowd activity sound, natural sound) can be achieved through intelligent window opening and closing control.

[0053] (3) Natural ventilation (openable window sash, multiple window opening modes), which can be achieved through intelligent window opening and closing control.

[0054] (4) Thermal comfort (light transmittance, indoor / outdoor shading, indoor sunlight and shaded areas, indoor air temperature, indoor air humidity, airflow speed) can be controlled by air conditioners, humidifiers, smart curtains, smart window opening and closing, etc.

[0055] When environmental regulation under natural conditions fails to effectively improve the risk of space occupancy, the situation is classified as medium risk. A coordinated control strategy involving thermal, light, and wind environmental parameters is then employed. This means that mechanical environmental regulation operations can be further implemented on top of background regulation strategies, such as adding mechanical ventilation, lighting, thermal comfort control, and air purification. For example, this may include any one or more combinations of the following: (1) Artificial lighting adjustment: The lighting system shall have at least three illumination levels or take into account the scene of illumination level changes (such as a combination of indoor illumination level, luminaire color temperature, scene lighting, light distribution, distribution changes, brightness contrast, and illuminance uniformity). The lighting system is divided into global lighting and local supplementary lighting.

[0056] (2) Mechanical ventilation (controlling ventilation path, ventilation mode, ventilation strategy, and air particulate matter filtration).

[0057] (3) Thermal comfort (zone control heaters, mechanical fans, radiant cooling and heating).

[0058] The control results of the above-mentioned environmental control parameters can be displayed using an environmental parameter monitoring and visualization device. For example, indoor air temperature, indoor air humidity, PM2.5, PM10, CO2 concentration, etc. can be displayed.

[0059] When the risk level of prolonged sitting in a functional area is high, a spatial intervention control strategy is adopted to coordinate and regulate the spatial composition parameters, table and chair control parameters, and acoustic environment parameters.

[0060] (1) Spatial sound reflection adjustment and directional sound cues in the acoustic environment.

[0061] (2) Spatial composition parameters can be controlled through controllable partitions, path guidance signs and / or light strips to achieve architectural space control.

[0062] (3) Adjustable work surface and seat to accommodate sitting and standing postures.

[0063] This invention transforms the passive accommodation behavior of the built environment into an active guidance behavior by coordinating the adjustment of multi-dimensional environmental parameters in the building space, thereby intervening in the risks of sedentary behavior without relying on explicit reminders. For example, it coordinates and regulates the multi-dimensional spatial environment according to the spatial risk level. The basic principle is to prioritize natural regulation followed by artificial light regulation, and to prioritize local regulation followed by global regulation: when the risk is low, a local regulation mode with light environment as the main factor and wind environment as a coordinator is adopted; when the risk is medium, a local or global regulation mode with coordinated thermal, light, and wind environments is adopted; and when the risk is high, a global regulation mode with spatial composition and acoustic environment is adopted.

[0064] According to the risk level of prolonged sitting, the present invention can perform environmental control operations on the entire home space or on specific functional areas to create obvious but non-mandatory opportunities to interrupt prolonged sitting behavior and achieve environmental guidance.

[0065] In this embodiment of the invention, steps 1 to 4 can be repeated to achieve continuous perception, risk assessment and environmental guidance of the operating status of the home space.

[0066] This invention determines the spatial occupancy status of functional areas by acquiring spatial perception data of those areas. By using spatial occupancy status as the identification object, it reduces reliance on individual behavior and identity, does not collect personal identity or biometric data, effectively protects personal privacy, and is suitable for scenarios involving multiple people living at home, low interference, and long-term use.

[0067] This invention guides sedentary behavior through architectural environmental elements, achieving continuous intervention without adding extra burden or relying on explicit reminders. It also shifts health intervention from "device reminders" to non-mandatory, gradual "tiered environmental guidance," thereby increasing user acceptance.

[0068] The second aspect of the present invention provides a sedentary behavior guidance system based on smart home environment regulation, using the above-mentioned sedentary behavior guidance method based on smart home environment regulation, including a spatial state recognition module, a risk judgment module, a regulation decision module and an environmental execution module connected in sequence; The spatial status identification module is used to obtain the spatial occupancy status parameters of at least one functional area in the home space; the risk judgment module is used to determine the sedentary risk status of the functional area based on the spatial occupancy status parameters and the spatial type of the functional area, and determine the sedentary risk level; the regulation decision module is used to determine the building environment regulation strategy of the functional area based on the sedentary risk level and the spatial type of the functional area; the environmental execution module is used to regulate at least one building environment parameter in the functional area according to the building environment regulation strategy to achieve spatial guidance of sedentary behavior.

[0069] In one alternative implementation, the sedentary behavior guidance system based on smart home environment regulation also includes a feedback learning module, which learns long-term user behavior data to match parameter thresholds with individual behavior patterns and adjusts state judgment conditions or environmental regulation parameters.

[0070] The various modules described above in this embodiment of the invention achieve unified coordination and control through a control module. This control module connects to the environment execution module via a unified control interface, thereby supporting the integration of new smart home devices and improving the system's scalability.

[0071] This invention focuses on space occupancy status, making it suitable for multi-person home use scenarios; it avoids collecting individual identities and behavioral trajectories, thus offering excellent privacy protection; it guides sedentary behavior naturally and continuously through tiered and scenario-based environmental control; and it enables system collaboration and expansion through control units, enhancing the overall integrity and sustainable operation of the smart home environmental control system, demonstrating strong feasibility and application value.

[0072] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications, substitutions, and variations within the technical scope disclosed in this application, and these modifications, substitutions, or variations should all be covered within the scope of protection of this application.

Claims

1. A method for guiding sedentary behavior based on smart home environment control, characterized in that, include: Step 1: Obtain the space occupancy status parameters of at least one functional area in the home space; Step 2: Determine the risk status of prolonged sitting based on the space occupancy status parameters and the space type of the functional area, and determine the risk level of prolonged sitting. Step 3: Based on the level of risk of prolonged sitting and the spatial type of the functional area, determine the building environment control strategy for the functional area. Step 4: According to the building environment control strategy, adjust at least one building environment parameter in the functional area to achieve spatial guidance for sedentary behavior.

2. The method for guiding sedentary behavior based on smart home environment control according to claim 1, characterized in that, Step 1 is as follows: Acquire spatial perception data of at least one functional area in the home space, and determine the spatial occupancy status of the functional area based on the spatial perception data; When an interruption or change in the space occupancy status is detected, the space occupancy status parameters are updated.

3. The method for guiding sedentary behavior based on smart home environment control according to claim 2, characterized in that, The spatial sensing data includes at least one of thermal data, pressure data, image data, electromagnetic signal data, and communication data.

4. The method for guiding sedentary behavior based on smart home environment control according to claim 1, characterized in that, Step 2 is as follows: Obtain the spatial type of the functional area; Determine the parameter threshold corresponding to the space occupancy status parameter based on the space type; Based on the space occupancy status parameters and the parameter thresholds, the sedentary risk status is determined, and the sedentary risk level of the functional area is determined.

5. The method for guiding sedentary behavior based on smart home environment control according to claim 1, characterized in that, The space occupancy status parameters include occupancy existence status, occupancy change parameters, occupancy duration status, and spatial distribution status; The spatial distribution state includes spatial distribution range, spatial distribution clustering degree, and spatial occupancy dispersion.

6. The method for guiding sedentary behavior based on smart home environment control according to claim 1, characterized in that, The risk levels of prolonged sitting include at least low risk, medium risk, and high risk.

7. The method for guiding sedentary behavior based on smart home environment control according to claim 6, characterized in that, The building environment parameters include at least one of the following: thermal environment parameters, light environment parameters, wind environment parameters, sound environment parameters, spatial composition parameters, and table and chair control parameters.

8. The method for guiding sedentary behavior based on smart home environment control according to claim 7, characterized in that, Step 3 specifically involves: When the sedentary risk level of the functional area is low, a background adjustment control strategy that regulates the light environment parameters and / or wind environment parameters is adopted. When the sedentary risk level of the functional area is medium risk, a coordinated control strategy is adopted to regulate the thermal environment parameters, light environment parameters, and wind environment parameters. When the risk level of prolonged sitting in the functional area is high, a spatial intervention control strategy is adopted to coordinate and regulate the spatial composition parameters, table and chair control parameters, and acoustic environment parameters.

9. A sedentary behavior guidance system based on smart home environment control, using the sedentary behavior guidance method based on smart home environment control as described in any one of claims 1-8, characterized in that, It includes a spatial state recognition module, a risk assessment module, a control decision module, and an environmental execution module connected in sequence; The spatial status recognition module is used to obtain the spatial occupancy status parameters of at least one functional area in the home space. The risk assessment module is used to determine the risk status of prolonged sitting based on the space occupancy status parameters and the space type of the functional area, and to determine the risk level of prolonged sitting. The control decision module is used to determine the building environment control strategy for the functional area based on the sedentary risk level and the spatial type of the functional area. The environmental execution module is used to regulate at least one building environment parameter in the functional area according to the building environment regulation strategy in order to achieve spatial guidance for sedentary behavior.

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