Sensor system and sleep space

Abstract

The utility model relates to a sensor system and a sleep space. The sensor system is used for monitoring and optimizing personal sleep quality, comfort, health and welfare and comprises a radar sensor, a processor, a communication device and a control component of environmental equipment. A sleep space is configured with the sensor system. Adjustment of the environmental device to facilitate returning of the individual to a calm and deep sleep state is initiated by controlling the environmental device control component based on data collected by the radar sensor and / or data and / or control signals processed by the processor. The innovative technology has wide influence on personalized medical care, early disease detection and sleep quality improvement, and ultimately contributes to personal welfare.

Description

TECHNICAL FIELD

[0001] The utility model relates to a monitoring system more particularly to a sensor system and a sleep space. BACKGROUND

[0002] Monitoring sleep in bed is an integral part of personal health and healthcare management. Several compelling reasons emphasize the importance of actively monitoring and analyzing sleep patterns. Continuous monitoring of sleep can provide important insights into an individual's overall health. Subtle changes in sleep patterns can serve as early indicators of potential health issues, including sleep disorders, cardiovascular problems, diabetes, and various mental health conditions. Sleep disorders such as sleep apnea, insomnia, restless leg syndrome, and narcolepsy can have profound effects on a person's daily life. Timely and continuous sleep monitoring can help identify these conditions early, facilitating timely intervention and appropriate treatment. Sleep duration and quality are directly related to an individual's overall health and well-being. Continuous sleep monitoring can provide valuable data that can be used to adjust lifestyle habits to promote better sleep quality. This includes changes to bedtime, diet, and physical activity to promote improved sleep.

[0003] Additionally, poor sleep patterns are often associated with elevated stress levels. Monitoring sleep over time can help individuals identify periods of sleep disruption coinciding with stressful life events. This awareness can inform the development of effective stress management strategies. Athletes, professionals, and students can greatly benefit from sleep monitoring, leading to improved performance. Adequate sleep is crucial for cognitive and physical functioning. By tracking sleep habits, individuals can better understand how sleep quality impacts their daily performance. Healthcare providers can use sleep pattern data to design customized treatment plans addressing specific sleep-related issues. Regular sleep monitoring can promote the development of good sleep hygiene habits. People can gain a better understanding of their unique sleep patterns, leading to informed decisions about their sleep environment, bedtime, and pre-sleep screen use. In professions where alertness is critical, such as transportation and healthcare, sleep monitoring plays a key role in identifying fatigue-related risks. Monitoring sleep can have a positive impact on the treatment of chronic conditions such as hypertension and obesity. It can help individuals and healthcare professionals track how these conditions affect sleep patterns and facilitate adjustments to improve health outcomes. In summary, actively monitoring sleep in bed is crucial for making informed decisions about health, well-being, and performance. Data collected through sleep monitoring can not only enhance individuals but also drive progress in the fields of sleep science and personalized healthcare.

[0004] However, monitoring and improving sleep quality is a complex task. Challenges in the existing art related to sleep monitoring and indoor environment control systems often include limitations in monitoring accuracy and range, and difficulties in seamlessly integrating multiple sensors into existing room structures. These systems can struggle to accurately detect subtle human activity, distinguish between individuals, and provide a comprehensive analysis of sleep quality indicators. Challenges also arise in balancing aesthetics and functionality when integrating monitoring devices into household appliances such as ceiling fans, without compromising the visual or operational appeal of the appliance. Additionally, the existing art can not adequately address the use of radar-based sensors and advanced data processing to optimize sleep monitoring, such that innovations like the present utility must address these limitations.

[0005] Accordingly, there remains a significant need for improved home automation systems, methods, and technical aspects. Specifically, most existing research requires complex, poorly positioned, and mediocre performing systems. Simplifying, integrating, and providing radar-based systems to detect health monitoring is a need of the times. SUMMARY

[0006] The technical problem to be solved by the present utility is to provide a sensor system to monitor and optimize individual sleep quality, comfort, health, and well-being.

[0007] Another technical problem to be solved by the present utility is to provide a sleep space to optimize individual sleep quality, comfort, to optimize the sleep experience of an individual in the sleep space.

[0008] To solve the above technical problems, the present utility employs the following technical solutions:

[0009] A sensor system for monitoring and optimizing individual sleep quality, comfort, health, and well-being, comprising:

[0010] a radar sensor integrated into an indoor high-level device or in a standalone radar device connected to the indoor high-level device, the radar sensor configured to monitor individuals in the room to collect data related to the presence, sleep state, and movement of the individuals, wherein the radar sensor is strategically placed at predetermined locations for optimal data collection;

[0011] a processor for analyzing and processing the data collected by the radar sensor to convert the collected data into different objects, classifying the objects into groups, including "adults," "toddler," "infant," and "other," through an algorithm, evaluating and labeling the physical state of the objects through an algorithm, and generating control signals based on the analyzed and processed data;

[0012] a communication device for transmitting the data collected by the radar sensor and / or the data processed by the processor and / or the control signals to the control components of the environmental devices; and

[0013] Control component of environmental device: based on the data collected by the radar sensor and / or the data processed by the processor and / or the control signal, the adjustment of the environmental device is initiated to promote the individual to return to a calm and deep sleep state.

[0014] In some embodiments, the sensor system further comprises a data sharing unit for realizing environmental intelligence by exchanging data with third-party devices with additional service applications.

[0015] In some embodiments, the indoor high-position device comprises one or more of ceiling fan, lighting device, mirror or air conditioning device; the environmental device is one or more of ceiling fan, lighting device or air conditioning device; the indoor high-position device and the environmental device are the same device or two independent devices; when the environmental device is a ceiling fan or an air conditioning device, the adjustment of the environmental device comprises adjusting the rotation speed of the fan, and / or the airflow direction and / or the preset temperature, or turning on / off; when the environmental device is a lighting device, the adjustment of the environmental device comprises adjusting the intensity of the ambient light, or turning on / off the lighting device.

[0016] In some embodiments, the radar sensor is used to capture and analyze data to classify the individual's posture, movement, sleep state and agitation level; the radar sensor comprises a passive millimeter wave sensor and / or an active millimeter wave sensor; the communication device uses wired communication and / or wireless communication.

[0017] In some embodiments, the sensor system further comprises an activation mechanism for controlling the operating state of the radar sensor; wherein the activation mechanism is provided on the processor or the control component of the environmental device; the activation mechanism controls the operating state of the sensor in two main modes:

[0018] Continuous connection and active mode, when at least one person exists in the room, the sensor is continuously connected and active, in this mode, the sensor system is fully running, continuously monitoring and collecting data; or

[0019] Low-power sensing mode, when there is no one in the room, the sensor switches to low-power sensing mode, in this mode, the power consumption of the sensor is reduced to the minimum to save energy.

[0020] In some embodiments, the sensor system comprises a radar on chip (ROC) for accurately detecting data including the movement and presence of the object, and processing the detected data to extract valuable information reflecting the position and movement of the object.

[0021] In some embodiments, the sensor system is powered by a power supply of the indoor high-level device as a main power source, and also has a battery power source as a backup power source; a communication power control (CPC) unit is arranged in the sensor system to manage the communication device, ensure effective transmission of data and alarms, and manage the power resources of the sensor system.

[0022] In some embodiments, the sensor system further comprises a cloud device and / or a local edge device to provide flexible data management, allowing data to be processed and stored in the cloud device and / or the local edge device.

[0023] In some embodiments, the sensor system further comprises a humidity sensor for measuring humidity data in the room where the sensor system is deployed, wherein the humidity sensor can continuously monitor and record humidity data in the room and transmit the humidity data to the processor; the sensor system further comprises a temperature sensor for measuring environmental temperature data in the room where the sensor system is located, the temperature sensor can continuously monitor and record temperature data in the room and transmit the temperature data to the processor; the sensor system further comprises a light sensor for measuring the intensity of ambient light and transmitting the light intensity to the processor.

[0024] In some embodiments, an antenna cover is arranged outside the radar sensor to protect the radar sensor, and the antenna cover is seamlessly integrated with the indoor high-level device so as not to adversely affect the existing configuration.

[0025] In some embodiments, the sensor system is configured to simultaneously monitor and collect data from multiple individuals in the same room; the multiple individuals include a couple.

[0026] In some embodiments, the processor includes an AI processor or a microcontroller or a microprocessor; the processor is integrated on or in communication with the control component of the environmental device.

[0027] In some embodiments, the processor further comprises an algorithm module for analyzing the body state to evaluate sleep quality and restlessness level, and providing data-driven recommendations to obtain optimal sleep and comfort settings, the recommendations including adjusting the environmental device based on individual body state and sleep stage.

[0028] In some embodiments, the processor further comprises an analysis module for real-time analysis to identify and optimize a working point, the working point ensuring personalized adjustment of the environmental device to adapt to individual sleep quality and comfort preferences.

[0029] The utility model provides a sleep space, its inside configuration has: the sensor system of any one embodiment as above; indoor high -level equipment; environmental device; indoor high -level equipment with environmental equipment is same device or two independent devices.

[0030] The utility model provides a method for optimizing sleep quality and comfort in sleep space, comprising the following steps:

[0031] The sensor system of any one embodiment as above is used for monitoring and collecting the data of multiple individuals in the self -shared sleep space simultaneously;

[0032] Real -time analysis collected data to determine the best "working point", the "working point" includes individual adjustment to environmental equipment;And

[0033] Customize environmental equipment setting condition to adapt to the comprehensive sleep quality and comfort preference of the monitored individual, thereby enhancing the sleep experience of each person in the shared sleep space.

[0034] In some embodiments, the method further comprises the step of transmitting the data collected by the radar sensor to an external monitoring application or service, thereby enabling remote access and control of environmental equipment settings.

[0035] In some embodiments, the method comprises processing the collected data and providing suggestions for improving sleep quality and comfort for the monitored individual based on historical sleep patterns and preferences.

[0036] The utility model has the advantages of:

[0037] The utility model recognizes these challenges of the prior art and seeks to address them by integrating radar sensor technology in a unique way. The utility model aims to provide individuals with a comprehensive understanding of their sleep quality by monitoring and analyzing key sleep indicators. This insight is invaluable for making informed decisions about lifestyle, health, and overall well-being. In addition, this technology may offer the potential for early detection of potential health problems, further enhancing its importance in the field of personalized healthcare.

[0038] The utility model solves the complexity and multifaceted nature of sleep quality assessment, recognizing that various factors contribute to the overall experience of a good night's sleep. The utility model combines advanced sensing, processing, and communication capabilities to detect, classify, and quantify multiple key indicators of sleep quality. These indicators include sleep duration, total time to fall asleep, bed sleep efficiency, number of nighttime awakenings, sleep stage distribution, restlessness, snoring, breathing pattern, heart rate and irregularity, influence of room temperature, and activity disorders.

[0039] The present utility model through using radar sensor and artificial intelligence (AI) process collection and analysis a large number of sleep data, make individual can take wise measures to improve health, identify sleep disorders, manage stress, improve performance, help the progress of personalized health care, and it is possible to detect potential health conditions in the early stage.The technology significantly improves the quality of sleep monitoring, integrates it into daily household appliances, and provides an innovative method for tracking and improving sleep quality.

[0040] In summary, monitoring sleep in bed is an important practice that enables individuals to take control of their health.By detecting early signs of health problems and sleep disorders, managing stress, optimizing performance, and promoting the progress of sleep medicine and personalized health care, a comprehensive health management method is provided.In addition, the present utility model not only helps to solve potential health problems, but also provides individuals with the knowledge needed to make informed decisions about their sleep habits and overall health, ultimately improving their overall quality of life.

[0041] The purpose of the present utility model is to create a multifunctional system that can be used in various environments, such as residential spaces, hospitals, rehabilitation centers, hotels, homes for the elderly, and even passenger cruise ships.The core innovation of the present utility model is to place sensors integrated into ceiling fans (or similar devices) directly above individual beds to optimize data collection.

[0042] The radar module and interface of the present utility model include integration with other similar indoor electronic devices, including lighting devices, light bulbs, mirrors, or air conditioning equipment.

[0043] The radar module and interface described in the present utility model include a standalone radar device with complete functionality.

[0044] The above "utility model content" does not necessarily disclose all the features necessary for the present utility model.The present utility model can exist in subcombinations of the disclosed features.A variety of combinations and subcombinations are described in the specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0045] The accompanying drawings, which are part of the specification, provide further understanding of the present utility model.The drawings illustrate exemplary embodiments of the present utility model and, together with the specification, serve to explain the principles of the present utility model.

[0046] The accompanying drawings are for illustration only and do not limit the present utility model, wherein:

[0047] Figure 1 An example of the operation of the sleep monitoring system of the preferred embodiment of the present utility model is shown.

[0048] Figure 2 Another example of the operation of the sleep monitoring system of the preferred embodiment of the present utility model is shown.

[0049] Figure 3 An example of a system architecture of the preferred embodiment of the present application is shown, which integrates sensors into ceiling fans to monitor sleep quality.

[0050] Figure 4 A system architecture for monitoring and enhancing indoor environments of the preferred embodiment of the present application is shown.

[0051] Figure 5 A flowchart of the preferred embodiment of the present application for monitoring and enhancing indoor environments is shown. DETAILED DESCRIPTION

[0052] The detailed description of the embodiments of the present application described in conjunction with the accompanying drawings is provided to clearly convey the present application. However, the details provided are not intended to limit the intended variations of the embodiments; on the contrary, all modifications, equivalents and alternatives falling within the spirit and scope of the present application are intended to be covered.

[0053] Recognizing the need for a technical solution capable of capturing subtle sleep quality indicators of an individual in bed, the present application introduces a strategically placed sensor device. Whether mounted on the ceiling, high on the wall or other optimal "overhead" position, the device is capable of closely monitoring activities and discerning various human body cues and patterns. By integrating sensors that detect an individual's activities and other physical attributes during sleep, data essential for assessing sleep quality and overall health can be collected and analyzed. Through continuous analysis of these data, a wealth of insights, scores, trends and precise factors can be obtained, resulting in improved quality of life, enhanced functionality and increased safety. Furthermore, integrating this sensor into high-position home appliances such as ceiling fans ensures optimal coverage, sensitive detection and precise data collection, revolutionizing the way monitoring is done and improving sleep.

[0054] The system can be integrated into other similar indoor electronic devices, including lighting devices, light bulbs, mirrors and air conditioning devices with full functionality. The system can be integrated into a standalone radar device with full functionality. Radar modules or Radar on-chip on any indoor electronic device can provide similar functionality. This provides compatibility of the present application with existing electronics or appliances.

[0055] The novelty of the present utility model lies in integrating radar sensors into ceiling fans or similar overhead fixtures. This placement is strategically significant as it enables optimal data collection where a person spends most of their time sleeping. The system can collect real-time data reflecting and indicating sleep quality. These data can then be used to control various environmental devices, such as ceiling fan speed or other climate control systems, to enhance the ambiance of the room and improve the well-being of the individual, especially when they are restless and have difficulty falling asleep. This has significant benefits in healthcare environments, homes, or elderly accommodations, as continuous monitoring of patients and elderly people is crucial in these settings. This is particularly important in environments such as hospitals, rehabilitation centers, elderly homes, and private residences.

[0056] In one embodiment, the present utility model introduces a high-sensitivity radar sensor system that can be incorporated in different configurations, such as in ceiling fans and / or overhead lighting fixtures. These radar sensors are strategically placed above the bed, whether for adults, children, or even infants in a crib. The primary purpose of this system is to provide comprehensive monitoring of the individual in various states, including sleep, attempts to return to sleep, or when they are located in or around the bed area. The system aims to classify and analyze various physical activities and behaviors exhibited by the individual during sleep or difficulty falling asleep. These data can provide valuable insights into the individual's sleep patterns and sleep disorders. This is particularly important in healthcare and care environments. The innovation can detect key events such as:

[0057] a) Abnormal restlessness or agitation: The system can identify patterns of increased activity or restlessness during sleep, potentially indicating discomfort or sleep disorders, which information can be valuable for healthcare professionals and caregivers to assess the overall sleep quality and comfort of the individual;

[0058] b) Irregular sleep-wake patterns: By monitoring the times the individual leaves or returns to the bed area, the system can help identify irregular sleep-wake patterns, which information is crucial for understanding circadian rhythms and can aid in diagnosing sleep disorders or sleep disturbances;

[0059] c) Bedtime routine monitoring: The system can track specific behaviors related to bedtime, such as reading or watching TV before sleep, and analyzing these daily activities over time can provide insights into pre-sleep activities and their impact on sleep quality;

[0060] d) Nighttime wandering: For individuals prone to nighttime wandering, such as those with a tendency to dream or certain health conditions, the system can detect instances of leaving the bed area and generate an alarm, which enhances safety and allows for timely intervention;

[0061] e) Sleep interruptions and fragmented sleep: The system can identify instances where an individual wakes up during the night and attempts to return to sleep, monitoring these interruptions and effectiveness of resuming sleep helps better understand sleep continuity and potential disruptions;

[0062] f) Respiratory irregularities: The comprehensive monitoring system can potentially incorporate sensors to detect respiratory irregularities during sleep, which is especially important in healthcare settings, helping to identify symptoms of sleep apnea or other respiratory disorders;

[0063] g) Ambient environmental influences: The system can analyze how external factors such as changes in room temperature or ambient light correlate with sleep patterns, which information is valuable for optimizing sleep environments and improving overall sleep quality.

[0064] In essence, the innovative system of the present invention is a multifunctional and highly detailed sensor technology that monitors individuals of all ages within and around the sleep space.

[0065] The system of the present invention is a multi-faceted sensor-based system designed to improve the sleep quality, comfort, and safety of individuals. The sensor-based system consists of radar sensors integrated into ceiling fans or high-level electrical appliances that can detect and classify the posture, activity, sleep state, and restlessness level of individuals in the room. It is configured with advanced data processing algorithms or artificial intelligence-based algorithms to analyze radar data to identify different objects and classify them into categories such as "adult," "toddler," "infant," and "other." In addition, the system can also assess their physical state, including sleep patterns and activity. This information is transmitted to the control component of the ceiling fan or high-level indoor electrical appliance, allowing adjustments to the high-level indoor electrical appliance or the speed and airflow of the fan to promote a return to a calm and deep sleep state. Furthermore, the data sharing capabilities of the system extend to third-party devices, enabling a wide range of business applications and intelligentization.

[0066] The architecture of the innovative sensor system for health monitoring and event detection of the present invention consists of various components and modules. Detailed information is provided below.

[0067] Sensor Components: The sensor system comprises various components, each serving a specific function to ensure comprehensive monitoring and surveillance of the individual. Sensor components are integral to the ability of the present utility to monitor the individual's sleep in the bed and the area surrounding it. They encompass a wide range of data collection, including passive millimeter wave radiation detection and active millimeter wave radar technology. These sensors not only detect the presence of humans but also provide detailed insights into their activities, behaviors, and actions, making the system's monitoring and surveillance capabilities highly effective. Furthermore, the integration of other sensors and technologies further enhances the system's ability to collect and analyze comprehensive data. In some embodiments, the sensor system of the present utility typically includes the following components:

[0068] Passive Millimeter Wave Sensors: These sensors work by detecting radiation in the millimeter wave band, which are often used for imaging and sensing purposes, in this case, they can provide valuable insights into the actual presence and activities of the individual, thereby enhancing the overall surveillance capabilities of the system;

[0069] Temperature and Humidity Sensors: These sensors can measure the humidity level and temperature in the air, providing insights into the overall comfort of the sleep environment;

[0070] Light Sensors: Light sensors can measure the intensity of ambient light, helping to assess the impact of light on sleep quality, which is particularly important for individuals who are sensitive to light during sleep;

[0071] Active Millimeter Wave Sensors (Radaron Chip - ROC): "Radaron Chip" (ROC) can include a single ROC or an array of ROCs, representing sophisticated radar technology, active millimeter wave sensors (e.g., ROC) are crucial for achieving high-precision detection of activities and presence, these sensors emit millimeter wave signals and analyze the reflected signals to determine the location, activity, and presence of objects or individuals in the monitored area, they can provide detailed information about the individual's behavior and actions. Additionally, multiple radars can be added, such as a dual-radar system for couples, which is an excellent enhancement to the sensor system described in the present utility, without limiting the single-radar embodiment to handle couples in the bed. With multiple radars, the system can achieve higher precision in detecting and tracking the activities and behaviors of individuals.

[0072] In the case of a shared bed by a couple, the radar system (whether single or multiple) can distinguish between the activities of each individual. This allows for personalized monitoring and data collection, which is crucial for independent assessment of the health and sleep quality of each person. Such radar embodiments can cross-verify detected events, thereby reducing the likelihood of false positives. Each radar unit can focus on a specific area or individual, allowing for detailed tracking and analysis. This level of granularity enhances the system's ability to monitor individuals personally, ensuring accurate capture of each person's unique health and sleep patterns. Additionally, the use of multiple radars allows for cross-verification of detected events. This redundancy not only reduces the likelihood of false positives but also enhances the overall reliability of the monitoring system. The present invention allows for the incorporation of various other sensors and technologies that contribute to comprehensive surveillance and monitoring. These additional sensors are also equipped with processing and communication capabilities, enhancing the system's ability to effectively collect, process, and transmit data.

[0073] The sensor module (sensor assembly) is integrated into a ceiling fan or similar device located above the bed. The primary function of this module is to detect the presence of humans, physical cues, sleep patterns, behavior, and activities within and around the bed area. As described in the present invention, sensor integration is a key aspect of the system architecture. It involves the incorporation of sensor modules into various configurations, and this integration plays a central role in the system's functionality. The core feature of the present invention is the integration of sensor modules into different types of devices. This integration can take various forms:

[0074] The sensor module has multiple primary functions that contribute to comprehensive surveillance and monitoring of individuals: The sensor module is designed to detect the presence of humans within and around the bed area, which is crucial for understanding occupancy and activity, it can capture physical cues such as body movements, postures, and behaviors, which are valuable for analyzing sleep patterns and assessing the health of individuals; the sensor module is used to monitor sleep patterns, it can identify sleep disorders, restlessness, and sleep quality, providing valuable insights for improving the sleep environment; the sensor module can analyze and classify individual behavior, including getting out of bed, standing, walking, and other activities that may indicate changes in the individual's state.

[0075] The system of the present invention can include a temperature sensor, which is typically located outside the sensor housing. The primary purpose of this sensor is to measure the ambient temperature of the room in which the system is deployed. The temperature sensor continuously monitors and records the temperature within the room. This data provides valuable information about the environmental conditions of the monitored space.

[0076] The system of the present utility model can include a humidity sensor, which is usually located outside the sensor housing. The main purpose of this sensor is to measure the humidity in the room where the system is deployed. The humidity sensor continuously monitors and records the humidity in the room. This data provides valuable information about the monitored space environment conditions.

[0077] Environmental data: Temperature and humidity readings from sensors provide insights into room comfort and climate. They can detect changes in temperature and humidity, including fluctuations in heating, cooling, air comfort, or other environmental conditions.

[0078] Environmental temperature and humidity have a significant impact on an individual's sleep quality and comfort. By measuring the temperature and humidity of the room, the system can assess how changes in temperature and humidity affect the sleep patterns and well-being of the occupants.

[0079] The system is powered by the device's power supply, but can also have a backup battery power source if needed. When there is no one on the bed or crib, the sensor operates in a low-power sensing mode and switches to full functionality based on activity detection or occupancy triggers. The power management strategy of the system involves two main options:

[0080] a) Device power supply: The system is designed to be primarily powered by the device's power supply, in this configuration, the system draws power from the same power source that powers the device (such as a ceiling fan or similar device) that integrates the system;

[0081] b) Battery power supply: In addition, the system can also include a battery power supply, which serves as a backup or alternative power source. This battery can provide power to the system when needed.

[0082] The main power source is usually the device power supply, ensuring continuous operation of the system, which is crucial for maintaining uninterrupted monitoring and surveillance. By using a backup battery power source, the system gains additional reliability. If there is a power outage or problem with the main power supply, the system can switch to the battery, ensuring that monitoring and event detection functions remain operational.

[0083] The battery power supply serves as a failsafe mechanism, maintaining the operation of the system in the event of a main power outage (such as during a power outage). In healthcare and high-level care environments, this system is crucial for the well-being of individuals, and the availability of a battery power supply is essential to ensure the safety of the occupants. In environments that prioritize energy efficiency, such as hotels or residential spaces, the system can switch to the battery power supply during peak energy usage periods to reduce the load on the main power supply.

[0084] In some embodiments, the system of the present utility model is configured with a triggering mechanism (trigger), which plays a crucial role in managing power consumption and ensuring efficient operation of the system. Here is a detailed explanation of how the triggering mechanism works:

[0085] The system has a trigger mechanism to control the operational state of the sensors. The trigger mechanism operates in two main modes:

[0086] a) Continuous connection and active mode: When there is at least one person on the bed or crib, the sensors are continuously connected and active, in this mode the system is fully operational, continuously monitoring and collecting data;

[0087] b) Low power sensing mode: When there is no one on the bed or crib, the sensors switch to low power sensing mode, in this state the power consumption of the sensors is minimized to save energy.

[0088] By transitioning to low power sensing mode when no one is lying on the bed, the system optimizes power usage. This is important for improving energy efficiency and extending the life of the system's power source, whether it's a device power supply or a battery. The system uses an activity detection or occupancy detection trigger to initiate full functionality. This means that when a person enters the bed or crib, the sensors are quickly triggered and start monitoring. This ensures that data collection is initiated when it is most relevant. The system is designed to focus its full functionality on when a person is present on the bed or crib. This targeted operation enables efficient data collection and event detection when it matters most. Automatically triggering and deactivating the sensors based on occupancy improves the user experience. Users do not need to manually control the system, as it adapts to their presence and activity. By reducing power consumption during periods of inactivity, the system can save resources and help achieve more sustainable and cost-effective operation.

[0089] The occupancy feature of the radar enables the ceiling fan to be turned off when the room is unoccupied, thereby saving energy and extending the life of the ceiling fan.

[0090] In one aspect of the present invention, once the operation of the sensor system is triggered, it involves a wide range of functions, which are designed to comprehensively monitor and detect various aspects related to the individual in the bed and the area around it. The operation of the system of the present invention is described in detail below:

[0091] The sensor system can identify and track individuals in the monitored area, whether it is a single person, a couple or multiple people;

[0092] The system monitors and analyzes the posture and activity of the detected targets, determining their precise position and center of gravity, this information is very valuable for understanding the position and behavior of the individual;

[0093] The system classifies the detected targets into different groups, including adults, young children, babies and potentially other categories, this classification is crucial for distinguishing individuals with different health and safety needs;

[0094] The system analyzes the individual's posture, posture transitions, activity, and level of agitation, which provides insights into sleep patterns and sleep quality;

[0095] Recognizing when a person is standing is important for assessing mobility and activity level; the system can also detect walking, which is important for understanding the person's activity, level of movement, and direction.

[0096] The sensor system's operation in the embodiments of the present utility model is designed to provide a comprehensive monitoring and detection capability, encompassing everything from recognizing individuals to classifying them according to age and behavior. The system's ability to monitor activity and posture helps enhance health and safety, making it particularly valuable in healthcare and high-care environments. In addition, the system can generate alerts based on specific events, ensuring a timely response to emergencies.

[0097] In another embodiment, the system of the present utility model includes an on-chip radar (ROC) sensor module, referred to as a "radar module," which is integrated into a ceiling fan or other device, enhancing the system's functionality. Integration can take one of the following two forms:

[0098] In this configuration, the ROC sensor module is an integrated and built-in part of the device's electronic design. This means it is seamlessly integrated during the manufacturing process and becomes an inherent feature of the device;

[0099] Alternatively, the ROC sensor module can be a standalone unit connected to the device. This configuration enables flexibility in installation and positioning, as the radar module can be connected to the device or placed nearby to optimize monitoring coverage.

[0100] The ROC sensor module is essential for high-precision activity and presence detection. It emits millimeter-wave signals and analyzes reflections, providing detailed information about the individual's posture, level of agitation, position, and activity. The integration of radar technology significantly enhances the system's monitoring capabilities. It can even detect subtle movements and changes in the monitored area. The radar module contributes to occupancy detection and tracking. This is particularly valuable for understanding the presence and activity of humans within the bed area. The radar module (radar sensor) can adapt to different room layouts and configurations, as it offers flexibility in installation. Whether inherent (built-in integration within the device) or standalone, it can optimize the sensor system's coverage to accommodate various monitoring scenarios.

[0101] Radar module antenna cover integration is an important design feature of the system, allowing seamless integration of radar technology without compromising the aesthetics or functionality of the ceiling fan or similar device. The system includes a decorative antenna cover designed to wrap around the radar module. The antenna cover acts as a protective and aesthetic cover for the radar technology. It can be seamlessly integrated into the design of the device without adversely affecting the established configuration. The antenna cover can be incorporated with existing components, such as a light cover, plastic housing, or similar design, without causing any harmful effects. The decorative antenna cover serves to protect the radar module from physical damage, dust, and other environmental factors. This protection ensures the service life and reliability of the radar technology. The design of the antenna cover is harmoniously integrated with the overall design of the ceiling fan or similar device. It can be customized to match the appearance of the device, maintaining a cohesive and pleasing aesthetic. The integration process is designed to be simple, ensuring that the antenna cover can be added without major modifications or interruptions to the device configuration. This minimizes installation complexity and associated costs. By seamlessly integrating the decorative antenna cover, the system improves the user experience. Users not only benefit from advanced radar technology, but also enjoy a low-key and attractive design. The decorative antenna cover is adaptable to different device designs and configurations. It adapts to various forms and styles, enabling its use in different environments and applications.

[0102] The system of the present invention is designed to be user-friendly and interruption-free in installation and operation. The key role of the antenna cover is to provide protection for the radar module. It acts as a protective shell that wraps around the radar technology, protecting it from physical damage, dust, and other environmental factors. This protection function ensures the service life and reliability of the radar module. Despite its protective role, the antenna cover is transparent to radar signals, allowing radar waves to pass through without distortion or interference. This radar transparency is essential for maintaining the functionality of the radar module. The system is enclosed within the antenna cover while continuing to accurately detect individual activity, presence, and other data. The antenna cover can be customized to match the specific design and aesthetics of the ceiling fan or similar device. It can be customized according to the appearance of the device, ensuring a consistent and pleasing appearance. This customization adds a layer of versatility, enabling the system to adapt to various room styles and preferences. Importantly, the installation of the radar transparent cover (radar cover) does not disrupt the existing device configuration. It can be seamlessly added without major modifications, thereby reducing installation complexity and associated costs. Users can enjoy the advantages of advanced radar technology without having to make invasive changes to their room setup. The combination of radar technology and radar transparent cover (radar cover) enhances the user experience. Users can not only benefit from advanced monitoring and detection capabilities, but also enjoy a low-key and attractive design that seamlessly integrates with the device.

[0103] The system of the utility model adopts flexible data communication system (communication device) to manage sensor data. The system aims to adapt to various scenarios and user preferences. By default, sensor data is usually processed locally, but can also be processed on the cloud using edge computing. This means that the data collected by the sensors will be analyzed and processed within the system or device itself. Local processing ensures real-time response and is critical in situations where immediate action is required. In addition to local processing, the system can also communicate with edge devices. Edge devices are intermediate computing devices that are closer to the data source (sensor system). Compared with cloud-based solutions, these edge devices can further process and analyze data, providing more computing power and possibly reducing latency. The system is also capable of transmitting sensor data to cloud services. This cloud-based communication enables remote monitoring, data storage, and advanced analysis. Cloud services have the advantage of being accessible from anywhere with an internet connection. The system can be connected to data networks using wired and wireless methods. Wired connections can include Ethernet, while wireless networks can include Wi-Fi, Bluetooth, or 4G / 5G connections. The choice of network connection depends on the specific application and user preferences. The system is equipped with full-duplex communication capabilities, allowing for bidirectional data transmission.

[0104] The data communication function of the system provides a multi-faceted approach to data management. Local data processing ensures immediate response to critical events, while connections with edge devices and cloud services provide data redundancy and storage, ensuring that historical data is available for analysis. Cloud service integration allows remote monitoring and access, enabling users to stay informed about personal health and environmental conditions from anywhere with internet access. In addition, collected data can be analyzed in the cloud to reveal valuable insights about long-term trends and patterns. The versatility of the system extends to its ability to connect through various wired and wireless networks and full-duplex communication, ensuring compatibility with different devices and data transmission methods.

[0105] The system of the utility model is equipped with an alert communication mechanism, which enables it to send timely notifications to external applications or services. These alerts are crucial for ensuring the safety, well-being, and healthcare management of individuals. The alert communication system plays a key role in enabling quick response to critical events and ensuring that individuals receive timely assistance when necessary. In healthcare and elderly care environments, the alert communication system is an essential tool that can improve patient care, safety, and overall well-being.

[0106] As an enhancement system of the present utility model embodiment, the system further comprises an algorithm module integrated into the data acquisition and processing unit. This module adds intelligent functions to the system by thoroughly analyzing the detected body parameters, thereby gaining an in-depth understanding of the individual's sleep quality and level of restlessness. In addition, it also provides personalized recommendations for optimizing the sleep environment, including specific adjustments to the ceiling fan speed and airflow direction, ensuring that the system not only monitors but also actively contributes to enhancing the overall sleep experience.

[0107] Figure 1 An example of the working of the health monitoring system (100) of the preferred embodiment of the present utility model is shown. In this system, the person (101) in the room is continuously monitored by using a radar module (radar sensor) installed inside the ceiling fan (102). The ceiling fan control assembly (103) serves as the central interface for communication with the radar module. This communication can collect comprehensive data related to the presence and activity of the human being. The collected data is then processed and can be used for various applications, including assessing sleep quality and implementing measures. The radar module is integrated into the ceiling fan, ensuring an unobtrusive and effective method for monitoring individuals and improving their well-being.

[0108] The sensor system of the present embodiment is designed to comprehensively monitor and enhance the sleep quality, comfort, health, and safety of individuals. The sensor system employs a radar sensor integrated into a ceiling fan or similar device, strategically positioned to detect and classify the sleep state, posture, and restlessness level of individuals in the room; it has a data processing unit for analyzing the radar monitoring data, converting it into different objects, and classifying the objects into groups such as "adult," "toddler," "infant," and "other" through algorithms. This classification facilitates personalized monitoring. The system outputs the acquired sensor data and processed data to the ceiling fan control unit, thereby triggering adjustments in fan speed and airflow direction. This adjustment aims to promote the individual's return to a calm and deep sleep state. In addition, the system facilitates Ambient Intelligence through data exchange with third-party devices, providing opportunities for other service applications. Although the specific details of this module are not explicitly defined, the inclusion of a module for determining events related to individuals adds versatility. In the relevant device for monitoring and adjusting the ceiling fan, a detector captures physical parameters of the human body related to sleep quality.

[0109] A data acquisition and processing unit of the system monitors and records sleep quality. The control component adjusts the speed of the ceiling fan, primarily aimed at helping the person waking up to regain peaceful sleep. The system is configured to monitor and collect data of multiple individuals (including couples) in the same room simultaneously. An analysis module of the system performs real-time analysis to identify and optimize the working point, ensuring individualized adjustments to the speed and airflow direction of the ceiling fan based on the overall sleep quality and comfort preference of the monitored individuals. This approach emphasizes the adaptability of the system to different scenarios and the ability to provide individualized comfort settings for optimal sleep conditions.

[0110] Figure 2 Another working example of the sleep monitoring system (200) of the preferred embodiment of the present utility model is shown. The system monitors individuals located within or around a bed or a crib, whether adult, child, or infant. The innovative system combines advanced sensor and radar technology into a traditional ceiling fan (201) or similar device located above a bed or crib. This retrofit enhances the functionality of the ceiling fan to provide comprehensive monitoring and control functions, particularly for individuals located within or around the bed. A radar sensor module is integrated into the ceiling fan with a communication module (device) to allow communication, thereby using transmitted and received radar waves or echoes (202, 204) to enhance the monitoring and control capabilities. The radar module detects the presence and movement of nearby individuals, enabling the ceiling fan to adjust its operation based on occupancy (human presence), such as adjusting the speed of the ceiling fan or starting or stopping the ceiling fan in response to the presence of individual 203. Real-time analysis is then used to identify deviations from these normal patterns. If the system detects abnormal postures or activities that deviate from expected norms, it can interpret these as potential distress situations. By combining real-time analysis of postures and activities, the monitoring system can enhance the ability to distinguish between routine activities and situations that may require special attention or intervention, thereby contributing to a more accurate and context-aware monitoring process.

[0111] Figure 3 An architectural example of the system (300) of the preferred embodiment of the present utility model, which integrates sensors into a ceiling fan to monitor sleep quality, is shown. The various components are described as follows:

[0112] Temperature sensor (302a): The temperature sensor can monitor the ambient temperature within the room, contributing to the regulation of the sleep environment, as maintaining the optimal temperature is crucial for quality sleep;

[0113] Humidity sensor (302b): The humidity sensor can measure the humidity level in the air, providing insight into the overall comfort of the sleep environment;

[0114] Light sensor (302c): The light sensor can measure the intensity of ambient light, contributing to the assessment of the impact of light on sleep quality, which is particularly important for individuals sensitive to light during sleep.

[0115] Microcontroller or processor (304): As a central processing unit, it can be used to collect data from sensors, process information, and execute commands based on predefined algorithms or user preferences;

[0116] Alarm or alert system (312): The alarm system can notify the user of specific events detected during sleep, such as abnormal restlessness or significant changes in the sleep environment;

[0117] Communication module (306): This communication module (or communication device) enables the fan to communicate with other devices, such as a smartphone or a smart home system, and it can also facilitate data transmission for analysis or remote monitoring;

[0118] Fan control mechanism (308): The fan itself will have a control component that adjusts fan speed, direction, or other parameters based on data collected from sensors, for example, it may increase airflow if the room temperature rises;

[0119] Power supply (310): Running the fan and sensors requires a power supply, which may involve connection to the power grid or a built-in battery, depending on the design.

[0120] Figure 4 The architecture of the system (400) for monitoring and enhancing the indoor environment of the preferred embodiment of the present utility model is shown. In general, the system architecture includes various components and their functions, creating a comprehensive system for monitoring and enhancing the indoor environment. Detailed information about each component is mentioned below:

[0121] Radar module (410): This module is responsible for radar-based detection, which transmits radar signals and captures their echoes to detect and track the presence and activity of humans within the monitored area;

[0122] Radar on chip (ROC) (420): This component, Radar on Chip (ROC), is a specialized radar technology that plays a crucial role in accurately detecting individual activities and sensing individual presence (occupancy), ROC also processes radar data and extracts valuable information reflecting the position and activity of objects within its coverage area;

[0123] AI processor (430): The AI (Artificial Intelligence) processor is the core component of data analysis, used to process data collected by the radar module and ROC to classify and understand individual behavior and status, it can use artificial intelligence algorithms to determine the individual's sleep quality, restlessness, etc.

[0124] Event Logging (440): This function records the events and data generated by the system, it can maintain a log of sleep quality and other important events, event logging is valuable for future reference, analysis and improving system performance;

[0125] Comms Power Control (CPC) (460): CPC manages the communication aspects of the system, it ensures effective communication of data and alerts and manages power resources to optimize transmission;

[0126] Onboard Antenna (450): Onboard antenna is an optional feature to enhance the communication function of the system, improve signal transmission and reception;

[0127] Ceiling Fan Control (CFC) (470): Ceiling fan control unit manages the operation of ceiling fan, it adjusts the speed and direction of the fan according to the data and events detected by the system, for example, it can increase the speed of the fan to create a soothing environment for the person who wakes up;

[0128] Mobile Device App (480): This component represents the user interface for interacting with the system of the present application, the mobile device application allows users to monitor system data, receive alerts and make adjustments to the environment, it provides a convenient way for caregivers or individuals to understand the situation and control the system;

[0129] Cloud / Local Edge Device (490): This component provides flexibility in data management. It allows data to be processed and stored locally on edge devices or in the cloud. Local edge device processing provides real-time monitoring and immediate action, while cloud storage provides long-term data analysis and remote access.

[0130] In addition, the Ceiling Fan Control (CFC) unit manages the communication aspects of the system, ensuring effective transmission of data and alerts. It can instruct the CFC operation according to the received data. For example, if the CFC detects that the individual wakes up or experiences restlessness, it may instruct the CPC to adjust the speed of the ceiling fan to create a soothing environment and help the individual return to deep sleep. In one scenario, the CPC is responsible for powering the CFC, which ensures that the CFC can operate effectively, manage communication and transmit data as needed. The role of the CFC is to ensure that the communication system (communication module) remains active. In summary, the CFC affects the operation of the CPC, thereby optimizing the indoor environment according to the monitoring data; at the same time, the CPC provides power support for the CFC, ensuring its function of managing communication and data transmission; this two-way relationship enables the system to coordinate and operate effectively.

[0131] Figure 5 An operational flowchart (500) of the system for monitoring and enhancing indoor environment of the preferred embodiment of the present application is shown. The flowchart outlines the sequence of operations of the system designed for monitoring and enhancing indoor environment or a method of monitoring and enhancing indoor environment. Detailed information of each operational step involved in the system or method is provided below:

[0132] Step 510, Sensor Detection: This stage represents the initial step of the overall operation of the system, where the sensor (possibly including radar or other sensor technology) detects the presence of a person in the monitored area, the sensor collects data related to the person's activity, location, and behavior;

[0133] Step 520, Quality of Sleep (QOS): The system analyzes the quality of sleep of the individual based on the data collected in the previous step, it can determine whether the individual is in a resting state, whether they are experiencing or showing signs of restlessness, this information helps to understand the sleep pattern and comfort of the occupant;

[0134] Step 530, Delay d seconds: This step introduces a delay of a certain number of seconds, which can be a user-defined parameter, this delay can be used to address temporary, expected interruptions in monitoring, ensuring that events are not triggered prematurely;

[0135] Step 540, Record Event (Optional): Optionally, the system can record the detected event, this can include creating a log of sleep patterns and other events for future reference or analysis;

[0136] Step 550, Transmit Event: The system transmits the detected event and data to external applications or services, this communication is used to provide real-time alerts and allow remote monitoring by healthcare professionals or caregivers;

[0137] Step 560, Adjust Fan Speed Logic: In response to the monitored data and events, the system can adjust the speed and direction of ceiling fans or other environmental control devices, this adjustment aims to create a more comfortable, conducive indoor environment for the individual, for example, the fan speed can be increased to calm the person who wakes up and help them return to deep sleep;

[0138] In step 570, Optional Temperature Sensor Input: This step involves considering temperature data collected by optional temperature sensors. The temperature of the room can affect the sleep quality and comfort of the individual, therefore, these data can be used to further optimize environmental conditions, for example, adjusting thermostat or fan settings.

[0139] In one embodiment, the system or method of the application involves a flowchart that involves a series of steps aimed at detecting, analyzing and communicating the sleep state, posture and level of agitation or restlessness of an individual, including an infant in a room. Below is a detailed explanation of each step in the entire process corresponding to the flowchart:

[0140] Radar sensor detection: The process begins with the radar sensor integrated in the ceiling fan, which is capable of detecting and monitoring the activities of an individual, such as an adult, a toddler or an infant on a bed or a crib. The radar sensor acquires (collects) data related to the activities, presence and behavior of the monitored individual;

[0141] Processing of radar-acquired data: The data acquired by the radar sensor, usually in the form of a point cloud, is processed to identify and isolate different objects or "targets" that represent individuals in the monitored space;

[0142] Algorithmic classification of targets: An algorithm is used to classify these targets into different categories, including "adult," "toddler," "infant" and "other," based on factors such as size and activity patterns;

[0143] Algorithmic classification of human targets: Further algorithms are applied to analyze and label the physical state and behavior of these human targets, including determining their sleep level, calmness, restlessness, agitation, posture and activity. The system assesses the comfort and well-being of the individual;

[0144] Communication with the ceiling fan control unit: The data acquired by the sensors and the processed output, including control signals and information about the individual's state, are transmitted to the ceiling fan control unit. This communication is a critical part of the system's feedback loop;

[0145] Triggering of environmental control measures: Based on the received data, the system responds by providing comfort to the individual (adult or toddler) or infant who is awake and adjusts the speed and airflow direction of the ceiling fan to create a comfortable environment conducive to deep sleep;

[0146] Environmental intelligence activation: The system utilizes environmental intelligence by sharing sensor data and processed information with other third-party devices, enabling the integration of additional service applications, enhancing the functionality of the continuously running radar module and providing uninterrupted power supply.

[0147] In one embodiment, the system's process of detecting and classifying individuals encompasses a comprehensive set of functions within a digital detection and classification framework. This process involves several key steps:

[0148] Detection and 4D Radar Point Cloud Generation: This begins with detecting radar echoes to create a 4D "Radar Point Cloud". This cloud represents a complete detection of all physical surfaces within the radar's coverage area, with each detection point (Radar Point) precisely located in three-dimensional space (x, y, z) and assigned a radial velocity, including stationary points (radial velocity "0") relative to the radar module (sensor) location.

[0149] Grouping and Center of Gravity Calculation: The next step involves grouping the detected radar points into individual objects, including people, babies, pets, and other targets. This grouping process generates the center of gravity for each group, their respective locations (x, y, z), and radial velocities relative to the radar module location.

[0150] Classification of Grouped Radar Echoes: Then, the system classifies these grouped radar echoes (referred to as "targets") into people, babies, or other designated categories (such as pets or wheelchairs), with each group of radar echoes individually identified as a "target".

[0151] Continuous Activity Monitoring and Posture Classification: Human targets, including adults in bed, children or infants in bed, and babies in cribs, are continuously monitored. Their postures, activities, and changes in behavior are observed and classified. This classification can include identifying states such as peaceful sleep, restlessness, agitation, waking up, getting out of bed, leaving the bed, or approaching the door.

[0152] Continuous Body State Classification: Throughout the process, the system continuously classifies the body states of all detected human targets. This classification involves assessing factors such as posture, activity level, sleep depth, and predefined states, often using artificial intelligence algorithms to make these decisions.

[0153] While some preferred and alternative embodiments have been described and illustrated, it is to be understood that various modifications can be made without departing from the spirit of the present application which is defined by the appended claims.

Claims

1. A sensor system, characterized by The sensor system for monitoring and optimizing individual sleep quality, comfort, health and well-being, comprising: a radar sensor integrated into an indoor high-level device or into a separate radar device connected to the indoor high-level device, the radar sensor being configured to monitor individuals in the room to collect data related to the presence, sleep state and movement of the individuals, wherein the radar sensor is strategically placed at predetermined locations to achieve optimal data collection; a processor for analyzing and processing the data collected by the radar sensor to convert the collected data into different objects, classifying the objects into groups, including "adults", "young children", "infants" and "others" through an algorithm, evaluating and labeling the body state of the objects through an algorithm, and generating control signals based on the analyzed and processed data; a communication device for transmitting the data collected by the radar sensor and / or the data processed by the processor and / or the control signals to the control components of the environmental devices; and control components of the environmental devices that, based on the data collected by the radar sensor and / or the data processed by the processor and / or the control signals, initiate the adjustment of the environmental devices to promote the return of the individuals to a calm and deep sleep state.

2. The sensor system of claim 1, wherein, The sensor system further comprises a data sharing unit for enabling environmental intelligence by exchanging data with third-party devices with additional service applications.

3. The sensor system of claim 1, wherein, The indoor high-level device comprises one or more of a ceiling fan, a lighting device, a mirror or an air conditioning device; the environmental device is one or more of a ceiling fan, a lighting device or an air conditioning device; the indoor high-level device and the environmental device are the same device or two separate devices; When the environmental device is a ceiling fan or an air conditioning device, the adjustment of the environmental device comprises adjusting the speed of the fan, and / or the direction of the airflow and / or the preset temperature, or turning the device on / off; when the environmental device is a lighting device, the adjustment of the environmental device comprises adjusting the intensity of the ambient light, or turning the lighting device on / off.

4. The sensor system of claim 1, wherein, The radar sensor is used to capture and analyze data to classify the posture, movement, sleep state and restlessness level of the individuals; the radar sensor comprises a passive millimeter wave sensor and / or an active millimeter wave sensor; the communication device uses wired communication and / or wireless communication.

5. The sensor system of claim 1, wherein, The sensor system further comprises an activation mechanism for controlling the operating state of the radar sensor; wherein the activation mechanism is provided on the processor or on the control components of the environmental devices; the activation mechanism controls the operating state of the sensor in two main modes: continuous connection and active mode, when at least one individual is present in the room, the sensor is continuously connected and active, in which mode the sensor system is fully operational, continuously monitoring and collecting data; or low-power sensing mode, when there is no one in the room, the sensor switches to a low-power sensing mode, in which mode the power consumption of the sensor is reduced to a minimum to save energy.

6. The sensor system of claim 4, wherein, The sensor system comprises a radar on chip (ROC) for accurately detecting data including the movement and presence of the objects and processing the detected data to extract valuable information reflecting the position and movement of the objects.

7. The sensor system of claim 1, wherein, the sensor system is powered by a power supply of the indoor high-level device as a main power source, and further has a battery power source as a backup power source; a communication power control (CPC) unit is arranged in the sensor system to manage the communication device, to ensure effective transmission of data and alarms, and to manage the power resources of the sensor system; the sensor system further comprises a cloud device and / or a local edge device to provide flexible data management, allowing data to be processed and stored in the cloud device and / or the local edge device.

8. The sensor system of claim 1, wherein, the sensor system further comprises a humidity sensor for measuring humidity data in the room where the sensor system is deployed, wherein the humidity sensor can continuously monitor and record the humidity data in the room and transmit the humidity data to the processor; the sensor system further comprises a temperature sensor for measuring the ambient temperature data of the room where the sensor system is located, the temperature sensor can continuously monitor and record the temperature data in the room and transmit the temperature data to the processor; the sensor system further comprises a light sensor for measuring the intensity of ambient light and transmitting the light intensity to the processor.

9. The sensor system according to any one of claims 1 to 8, characterized in that The radar sensor is provided with a radome to protect the radar sensor, and the radome is seamlessly integrated with the indoor high-level device so as to not adversely affect the existing configuration.

10. The sensor system according to any one of claims 1 to 8, characterized in that The sensor system is configured to simultaneously monitor and collect data from multiple individuals in the same room; the multiple individuals include a couple.

11. The sensor system of any one of claims 1 to 8, wherein The processor includes an AI processor or a microcontroller or a microprocessor; the processor is integrated on or in communication connection with the control component of the environmental device.

12. A sleep space, characterized in that The interior is configured with: the sensor system of any one of claims 1-11; an indoor high-level device; an environmental device; the indoor high-level device and the environmental device are the same device or two independent devices.

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