Sleep intervention system capable of quickly sensing physical signs of user

Abstract

The invention discloses a sleep intervention system capable of quickly sensing user signs. The sleep intervention system is not easy to disconnect, can continuously work, intervene sleep and quickly acquire sleep intervention means and a long-term systematic sleep intervention method. Comprising a wearable module storing personal information of a user, an intelligent mobile module in near field communication with the wearable module, and a peripheral module comprising at least one peripheral device; the wearable module is used for collecting and storing physiological data of a user; the intelligent mobile module receives personal information and physiological data of a user and generates a first sleep intervention strategy based on the user through an AI agent; the peripheral equipment is in near-field communication with the wearable module and is in communication connection with the intelligent mobile module; the peripheral equipment receives and stores personal information and physiological parameters of the user when in near-field communication with the wearable module, formulates a second sleep intervention strategy according to the physiological parameters of the user and intervenes sleep of the user; the peripheral equipment intervenes the sleep of the user according to the first sleep intervention strategy when being in communication connection with the intelligent mobile module.

Description

Technical Field

[0001] The present invention relates to the technical field of sleep monitoring, and particularly to a sleep intervention system for quickly sensing user signs. Background Art

[0002] A sleep monitoring device is a device that collects human sleep data (such as heart rate) to provide analysis data for evaluating the user's sleep quality. It is often combined with a sleep intervention system to improve the user's sleep condition. According to different usage methods, sleep monitoring devices are divided into wearable devices and devices combined with bedding. Among them, wearable devices are fixed on specific parts of the body, such as the wrist, chest, or head. After collecting human physiological parameters, the collected parameters are sent to the corresponding sleep intervention system or module, and the sleep intervention system or module generates corresponding sleep optimization or intervention plans to assist the user in sleeping. However, most of the current wearable devices on the market are single-chain connected to the sleep intervention system or module. When the wearable device is disconnected from the sleep intervention system or module, the sleep intervention system or module cannot obtain the user's physiological data in time and output the corresponding intervention plan in real time, thus affecting the user's sleep experience. In addition, the sleep intervention system or module on the market processes the physiological data by sending it to the cloud or the background after collecting it and generates corresponding sleep intervention strategies. The time for generating the sleep intervention strategy is relatively long, and it is difficult to generate the sleep intervention strategy in time and intervene in the user's sleep, resulting in insufficient user experience. Summary of the Invention

[0003] Based on this, in view of the above deficiencies, it is necessary to provide a sleep intervention system for quickly sensing user signs, which is not easily disconnected, can work continuously, and intervenes in sleep according to the corresponding sleep intervention strategy, realizing the combination of quickly obtaining sleep intervention means and long-term systematic sleep intervention methods, so as to improve the user experience and sleep condition.

[0004] A sleep intervention system for quickly sensing user signs includes:

[0005] A wearable module, which stores user personal information and is used to be worn on the user's body surface to collect and store user physiological data;

[0006] An intelligent mobile module, which is used for short-range communication with the wearable module. The intelligent mobile module receives user personal information and user physiological data and generates a first sleep intervention strategy based on the individual through an AI intelligent agent;

[0007] The peripheral module includes at least one peripheral device, which communicates with the wearable module in the near field and is communicatively connected to the intelligent mobile module; when the peripheral device communicates with the wearable module in the near field, the peripheral device receives and stores the user's personal information and physiological parameters, formulates a second sleep intervention strategy according to the user's physiological parameters and in accordance with the local optimization logic, and intervenes in the user's sleep condition through the second sleep intervention strategy; when the peripheral device is communicatively connected to the intelligent mobile module, the peripheral device intervenes in the user's sleep condition according to the first sleep intervention strategy.

[0008] In one embodiment, when the number of peripheral devices is 1, a single peripheral device forms a sleep intervention ecosystem; when the number of peripheral devices is greater than 1, multiple peripheral devices are interconnected through a wired or wireless communication unit to form a sleep intervention ecosystem. When a peripheral device is connected to the wearable module or to the intelligent mobile module, each peripheral device works according to the first sleep intervention strategy or the second sleep intervention strategy simultaneously.

[0009] In one embodiment, the wearable module includes a reader-writer end and a sensing end. The reader-writer end includes a sensor module for collecting the user's physiological data, a control module connected to the sensor module, and a storage module connected to the control module and storing the user's personal information. The sensing end is a sensing tag that communicates with the storage module by low-frequency coil induction and receives and stores the user's personal information and physiological data.

[0010] In one embodiment, the personal information in the sensing tag is stored in partitions. The sensing tag includes at least three information storage areas. The first information storage area is used to store the user identification ID, the ecosystem identification ID, and the peripheral device ID information. The second information storage area is used to store the user's health sign data information. The third information storage area is used to store the background AI agent information that needs to be called when the wearable module is matched with the intelligent mobile module.

[0011] In one embodiment, before the intelligent mobile module communicates with the wearable module in the near field, the intelligent mobile module sequentially verifies the user identification ID, the ecosystem identification ID, and the peripheral device ID information, the timestamp information, the user's health sign data information, and the background AI agent information; after the intelligent mobile module communicates with the wearable module in the near field, the intelligent mobile module calls the corresponding background AI agent and generates a personalized first sleep intervention strategy, and sends information to the peripheral device via Bluetooth or Wi-Fi, so that the peripheral device works according to the first sleep intervention strategy in accordance with the corresponding intervention type and intervention parameters.

[0012] In one embodiment, when the wearable module communicates with the smart mobile module in the near field, the user's personal information in the sensing tag is updated through a small program on the smart mobile module. When the wearable module communicates with the peripheral device in the near field, the user's personal information in the peripheral device is updated through the sensing tag, and the first sleep intervention strategy is adopted to replace the second sleep intervention strategy.

[0013] In one embodiment, the wearable module performs user identification verification before communicating with the smart mobile module and the peripheral device in the near field. When the user identification verification fails, or the wearable module fails to respond, or the information reading fails, the wearable module resets.

[0014] In one embodiment, the peripheral device is one of an aroma generator, a low-frequency generator that can emit alpha waves, an audio player, a sports device, a sleep aid eye mask, and a sleep aid pillow.

[0015] In one embodiment, the main body of the wearable module is one or more of a ring, an eye mask, a headband, a bracelet, and a brain patch.

[0016] In one embodiment, when the peripheral device is connected to both the wearable module and the smart mobile module at the same time, the peripheral device intervenes in the user's sleep condition through the first sleep intervention strategy.

[0017] Implementing the sleep intervention system for quickly sensing user signs of the present invention enables the wearable module to be connected to the smart mobile module and the peripheral device respectively, and enables the peripheral device to be connected to the smart mobile module. The peripheral device can obtain the user's physiological data through a direct connection with the wearable module, and can also obtain corresponding data through an indirect connection with the wearable module by connecting with the smart mobile module, so that the peripheral device can always be connected to the smart mobile module or the wearable module to continuously work under the corresponding sleep intervention strategy, ensuring long-term, continuous and reliable sleep intervention for the user; when the peripheral device is connected to the wearable module, it formulates the second sleep intervention strategy according to the local optimization logic, and can generate the corresponding sleep intervention strategy to intervene in the user's sleep in the first time. When the peripheral device is connected to the smart mobile module, it can also intervene in the user's sleep according to the first sleep intervention strategy generated based on the user's personal situation, realizing the combination of quickly obtaining sleep intervention means and long-term systematic sleep intervention methods. While ensuring that the user can quickly obtain the sleep intervention strategy and intervene in sleep, the sleep intervention strategy can be further adjusted through data related to personal information and physiological state, realizing long-term, continuous and reliable sleep intervention, improving the user experience and contributing to improving the sleep condition. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a module connection diagram of the sleep intervention system in an embodiment of the present invention;

[0019] Figure 2 The circuit schematic diagram of the wearable module in an embodiment of the present invention;

[0020] Figure 3 The circuit schematic diagram of the intelligent mobile module in an embodiment of the present invention;

[0021] Figure 4 The circuit schematic diagram of the peripheral device in an embodiment of the present invention;

[0022] Figure 5 The schematic diagram of the sleep intervention system in an embodiment of the present invention;

[0023] Figure 6 The schematic diagram of the sleep intervention ecosystem in an embodiment of the present invention;

[0024] Figure 7 The working flowchart of the wearable module in an embodiment of the present invention. Detailed implementation manners

[0025] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention in conjunction with the accompanying drawings. Many specific details are set forth in the following description to fully understand the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0026] The present invention discloses a sleep intervention system for quickly sensing user signs. Through a dual-channel communication protocol method, in the case of the combination of near-field communication and communication connection, it realizes the quick connection between the wearable module and the peripheral device, enabling the peripheral device to generate a second sleep intervention strategy based on the user's health data and intervene in the user's sleep in a timely manner when obtaining the user's physiological data. And when the wearable module is connected to the intelligent mobile module, a second sleep intervention strategy based on the user's personal information is generated through the intelligent mobile module to analyze the user's long-term health data and provide a customized sleep intervention strategy. In this way, while realizing that the peripheral device and the wearable module are not easily disconnected, can work continuously, and intervene in sleep according to the corresponding sleep intervention strategy, it realizes the combination of quickly obtaining sleep intervention means and long-term systematic sleep intervention methods, improving the user experience and sleep conditions.

[0027] Specifically, please combine with Figure 1-7, the sleep intervention system of this embodiment includes a wearable module 100, an intelligent mobile module 200, and a peripheral module 300. Among them, the wearable module 100 stores user personal information, which includes the user's name, age, gender, physical constitution, basic sleep conditions (such as the average sleep duration, average bedtime, average wake-up time, average number of awakenings, average awakening duration, etc. in the recent week), and basic exercise conditions (such as whether to participate in exercise, exercise type, exercise frequency, exercise duration, etc. in the recent week). The wearable module 100 is used to be worn on the user's body surface and collect and store the user's physiological data. The user's physiological data that the wearable module 100 can collect includes electrocardiogram data, body movement data, blood oxygen saturation and other data. The intelligent mobile module 200 is used to communicate with the wearable module 100 in the near field to receive the user personal information and the user's physiological data collected by the wearable module 100. In this embodiment, the intelligent mobile module 200 receives the user personal information and the user's physiological data and generates a first sleep intervention strategy based on the individual through the AI intelligent agent. In this embodiment, the intelligent mobile module 200 can be a mobile phone, a laptop, a tablet computer, or a smart watch, etc. It can be understood that the first sleep intervention strategy is generated based on the user personal information and the user's physiological data. In other words, the generated first sleep intervention strategy is obtained by comprehensively considering the user's age, gender, physical constitution, basic sleep conditions, basic exercise conditions, electrocardiogram data, body movement data, blood oxygen saturation and other data. This sleep intervention strategy is more in line with the user's actual personal situation and can avoid the large impact on the sleep intervention strategy caused by the instantaneous change of the user's physiological data under the influence of the external environment. For example, when the user sleeps after exercise, their electrocardiogram and blood oxygen indicators are significantly abnormal. In this case, if only the user's current physiological data is considered to formulate a sleep intervention strategy, it may misjudge the user's health and then formulate a sleep intervention strategy that is quite different from the user's health status; while if it is detected according to the user personal information that the user has a habit of exercising before going to bed for a long time, then when formulating the sleep intervention strategy, the obvious abnormal situation of the electrocardiogram and blood oxygen indicators caused by the deterioration of the user's health status can be excluded, so that the formulated sleep intervention strategy can more effectively intervene in the user's sleep situation. The peripheral module 300 includes at least one peripheral device. The peripheral device communicates with the wearable module 100 in the near field and is communicatively connected to the intelligent mobile module 200. The peripheral device is used to work according to the predetermined sleep intervention strategy based on the signal sent by the wearable module 100 or the intelligent mobile module 200 to intervene in the user's sleep.In this embodiment, when the peripheral device communicates with the wearable module 100 in the near field, the peripheral device receives and stores the user's personal information and physiological parameters, formulates a second sleep intervention strategy according to the user's physiological parameters and in accordance with the local optimization logic, and intervenes in the user's sleep status through the second sleep intervention strategy. Thus, since the second sleep intervention strategy is formulated according to the local optimization logic, it can formulate the second sleep intervention strategy and control the peripheral device to intervene in the user's sleep in a timely manner through the local algorithm without the need for the wearable module 100 to be connected to the intelligent mobile module 200, realizing the rapid perception of the user's physical signs and sleep intervention. When the peripheral device is communicatively connected to the intelligent mobile module 200, the peripheral device intervenes in the user's sleep status according to the first sleep intervention strategy, so that the peripheral device can make long-term and continuous interventions in the user's sleep situation based on the first sleep intervention strategy generated from the user's personal information and physiological data, effectively improving the user's sleep situation. In this embodiment, the peripheral device and the intelligent mobile module 200 are communicatively connected via Bluetooth or WiFi.

[0028] In one embodiment, when the number of peripheral devices is 1, a single peripheral device forms a sleep intervention ecosystem; when the number of peripheral devices is greater than 1, multiple peripheral devices are interconnected through a wired or wireless communication unit to form a sleep intervention ecosystem. When a peripheral device is connected to the wearable module 100 or the smart mobile module 200, each peripheral device works according to the first sleep intervention strategy or the second sleep intervention strategy simultaneously. Preferably, in this embodiment, the number of peripheral devices is greater than 1, and each peripheral device is interconnected through Bluetooth or WiFi to form a sleep intervention ecosystem. That is to say, each peripheral device is connected to the other peripheral devices through Bluetooth or WiFi. Each peripheral device in the same sleep intervention ecosystem sets the other peripheral devices as a white list for automatic link communication. In this way, when a peripheral device in a sleep intervention ecosystem communicates with the wearable module 100 in near field or is connected to the smart mobile terminal, the peripheral device synchronizes the received data to the other peripheral devices in the same sleep intervention ecosystem. Thus, even when a peripheral device is disconnected from both the wearable module 100 and the smart mobile module 200 at the same time, the peripheral device can still obtain the corresponding sleep intervention data through the other peripheral devices in the same sleep intervention ecosystem, so as to improve the signal connection stability of the entire sleep intervention system and ensure the reliable operation of the peripheral devices. In addition, in this embodiment, each sleep intervention ecosystem has an ecological identification ID, which includes information such as the sleep intervention ecosystem number, the number of peripheral devices in the sleep intervention ecosystem, and the numbers of each peripheral device in the sleep intervention ecosystem. In this embodiment, the mesh information (i.e., the access circuit routing information and user data packets transmitted in the ad-hoc mesh network composed of multiple peripheral devices in the same sleep intervention ecosystem, that is, the user personal information and user physiological data, etc. synchronized among the peripheral devices in this solution) exchanged among the peripheral devices in the same sleep intervention ecosystem can perform AI operations on the decentralized cloud (smart mobile module 200) to analyze the long-term health data of the user and provide customized AI assistant sleep intervention (i.e., the first sleep intervention strategy).

[0029] Further, the peripheral device is one of an aroma generator 310, a low-frequency generator 320 that can emit alpha waves, an audio player 330 (which can be a speaker or headphones), a sports device 340, a sleep aid eye mask 350, and a sleep aid pillow 360. Preferably, in this embodiment, the peripheral module 300 includes an aroma generator 310, a low-frequency generator 320 that can emit alpha waves, an audio player 330, a sports device 340, a sleep aid eye mask 350, and a sleep aid pillow 360. The above-mentioned aroma generator 310, low-frequency generator 320, and audio player 330 can be any low-frequency generator 320 and audio player 330 on the market. The sports device 340 can be a spinning bike, a treadmill, etc. The sleep aid eye mask 350 is provided with an inflatable and deflatable airbag and a heating device. The sleep aid pillow 360 is provided with an inflatable and deflatable airbag, a heating device, and a massage device. When the peripheral device is connected to the wearable module 100 and generates a second sleep intervention strategy, or is connected to the smart mobile module 200 to receive the first sleep intervention strategy, the type of aroma substance released by the aroma generator 310, the release speed of the aroma substance, the release concentration of the aroma substance, and the release duration of the aroma substance can be adjusted according to the corresponding sleep intervention strategy. The wave frequency and working duration of the low-frequency generator 320 can be adjusted. The type of audio played by the audio player 330, the volume, and the playing duration can be adjusted. The exercise intensity (such as exercise resistance, exercise speed, etc.) and exercise duration of the sports device 340 can be adjusted. The heating temperature, heating duration, inflation volume of the airbag, air pressure change amount during airbag inflation and deflation, inflation and deflation duration, and inflation and deflation cycle of the sleep aid eye mask 350 can be adjusted. The heating temperature, heating duration, inflation volume of the airbag, air pressure change amount during airbag inflation and deflation, inflation and deflation duration, inflation and deflation cycle, massage pressure, massage frequency, massage part, and massage duration of the sleep aid pillow 360 can be adjusted. Thus, through the aroma generator 310, low-frequency generator 320, audio player 330, sports device 340, sleep aid eye mask 350, and sleep aid pillow 360, intervention can be carried out from multiple aspects such as smell, hearing, vision, touch, brain wave intervention, and exercise intervention, realizing the simultaneous application of multiple therapies such as brain wave / music therapy, exercise therapy, aroma therapy, and massage and hot compress therapy, so as to soothe and improve the user's nerves, promote the user to quickly fall asleep, and improve the user's sleep condition.

[0030] In one embodiment, the main body of the wearable module 100 is one or more of a ring, an eye mask, a headband, a bracelet, and a brain patch. Preferably, in this embodiment, the main body of the wearable module 100 is a ring, which is used to be worn on the user's finger. On the one hand, it reduces the wearing difficulty of the wearable module 100. On the other hand, the overall volume of the wearable module 100 is small, reducing the burden on the user during sleep and reducing the interference of the wearable module 100 on the user's activities. Further, the wearable module 100 includes a reader-writer end and an induction end 110, and the reader-writer end is the main body of the wearable module 100. The reader-writer end includes a sensor module 120 for collecting user physiological data, a control module 130 (i.e., Figure 2 MCU1 in Figure 2 ) connected to the sensor module 120, and a storage module 140 connected to the control module 130 and storing user personal information. The induction end 110 is an induction tag (i.e., Figure 2 NFC in Figure 2 ) that uses low-frequency coil induction communication with the storage module 140 and receives and stores user personal information and user physiological data. In this embodiment, the sensor module 120 includes at least one of a gravity sensor (i.e., Figure 2 G-sensor in

[0031] ), an electrocardiogram sensor (i.e., Figure 2 PPG in

[0031] ), and a blood oxygen sensor (i.e., Figure 2 SpO Sensor in

[0031] ). The induction tag uses a general NFC, and its operating frequency is 13.56 MHz. Preferably, the induction tag uses an NFC chip of model ISO / IEC14443 Type A.

[0031] It should be noted that in this embodiment, the sensing chip stores the personal physical sign data of the user through the laminated storage method. Specifically, in this embodiment, the sensing chip is composed of laminated structures such as multiple layers of coils, and the gap between the laminations is between 0 and 1 mm. The sensing chip communicates with the storage module 140 at the reader-writer end, the peripheral device, and the intelligent mobile module 200 in the near field. When information is transmitted between the sensing chip and the storage module 140 at the reader-writer end, the peripheral device, and the intelligent mobile module 200, the information transmission is carried out in zones to ensure data security. Specifically, the personal information in the sensing tag is stored in zones. The sensing tag includes at least three information storage areas. The first information storage area is used to store the user identification ID (including the user's name, age, and gender), the ecological identification ID, and the peripheral device ID (information such as the model, working parameters, and serial number of the peripheral device). The second information storage area is used to store the user's health physical sign data information (including the user's physical fitness, basic sleep situation, and basic exercise status). The third information storage area is used to store the background AI agent information that needs to be called when the wearable module 100 is matched with the intelligent mobile module 200. The background AI agent information includes the intervention type and intervention parameters. Among them, the intervention type includes three types: mild intervention, severe intervention, and deep intervention. The intervention parameters include the working parameters of each peripheral device under different intervention types. The working parameters are the various indicators of the aroma generator 310, the low-frequency generator 320, the audio player 330, the exercise device 340, the sleep aid eye mask 350, and the sleep aid pillow 360 adjusted by the peripheral device according to the first sleep intervention strategy or the second sleep intervention strategy as mentioned above, which will not be elaborated here.

[0032] Before the smart mobile module 200 performs near-field communication with the wearable module 100, the smart mobile module 200 sequentially verifies the user identification ID, the ecological identification ID, the peripheral device ID information, the timestamp information, the user health sign data information, and the background AI agent information; after the smart mobile module 200 performs near-field communication with the wearable module 100, the smart mobile module 200 calls the corresponding background AI agent and generates a first sleep intervention strategy based on the individual, and sends information to the peripheral device through Bluetooth or wifi, so that the peripheral device works according to the first sleep intervention strategy according to the corresponding intervention type and intervention parameters. In this embodiment, by verifying the user identification ID, it is to determine whether the current user of the wearable module 100 matches the user information recorded by the smart mobile module 200, so as to avoid the problem that the first sleep intervention strategy is difficult to improve the actual user's sleep condition due to inconsistent user information; by verifying the ecological identification ID and the peripheral device ID information, it can be determined whether the peripheral device associated with the wearable module 100 and the peripheral device associated with the smart mobile module 200 are consistent, so as to ensure that the corresponding peripheral device can be accurately controlled to work during sleep intervention, and at the same time realize the on-demand linkage between peripheral devices; by verifying the timestamp information, it can be determined whether the information for adjusting the corresponding peripheral device to work at the preset time point recorded in the wearable module 100 is consistent with the information for adjusting the corresponding peripheral device to work at the preset time point recorded in the smart mobile module 200, so as to accurately control the corresponding peripheral device to work; by verifying the user health sign data information, it can be determined whether the user health sign data information recorded by the wearable module 100 is consistent with the user health sign data information recorded by the smart mobile module 200, so as to supplement the authentication of user information and determine whether the current user is a user permitted by the smart mobile module 200, improving the security of user data; by verifying the background AI agent information, it can be determined whether the intervention parameters required by the peripheral device associated with the wearable module 100 match the intervention parameters stored in the smart mobile module 200. In this way, by storing personal information in partitions and performing multi-level logical verification, it helps to protect the privacy and security of this personal health data. In this embodiment, the first sleep intervention strategy generated by the smart mobile module 200 not only includes the intervention type and intervention parameters, but also includes the time nodes of the intervention. For example, the smart mobile module 200 controls the first peripheral device and the second peripheral device to work under the corresponding intervention type and intervention parameters at the first time point according to the first sleep intervention strategy, controls the third peripheral device and the second four peripheral devices to work under the corresponding intervention type and intervention parameters at the second time point, controls the fifth peripheral device to work under the corresponding intervention type and intervention parameters at the third time point... When verifying the timestamp, what is actually verified is whether the timestamp information stored in the sensing tag is consistent with each time node controlled by the first sleep intervention strategy of the smart mobile module 200.

[0033] In addition, through the near-field communication between the sensing chip and the reader-writer end, the wearable module 100, and the intelligent mobile module 200, on the one hand, the intelligent mobile module 200 stores the user's health data for a long time. On the other hand, the user's physiological data collected by the reader-writer end can be updated to the intelligent mobile module 200 and the wearable module 100 in a timely manner through the sensing chip, realizing the long-term memorization and timely update of the user's personal health data. While ensuring that the sleep intervention strategy is formulated based on the current physiological condition of the user, the long-term recording of the user's physiological data also helps to continuously improve and update the user's health condition, so as to further optimize the sleep intervention strategy through the user's health condition and the current physiological condition, and improve the sleep intervention effect.

[0034] When the wearable module 100 communicates with the intelligent mobile module 200 in the near field, the user's personal information in the sensing tag is updated through the small program on the intelligent mobile module 200. When the wearable module 100 communicates with the peripheral device in the near field, the user's personal information in the peripheral device is updated through the sensing tag and the first sleep intervention strategy is used to replace the second sleep intervention strategy. Further, when the peripheral device is connected to both the wearable module 100 and the intelligent mobile module 200 at the same time, the peripheral device intervenes in the user's sleep condition through the first sleep intervention strategy. In this way, while ensuring that when the user uses the wearable module 100, the second sleep intervention strategy formulated based on the local optimization logic by the peripheral device can intervene in the user's sleep in the first time, it is ensured that in the subsequent long-term process of intervening in the user's sleep, the sleep intervention strategy adopted is jointly formulated based on the user's personal health condition and the user's current physiological data, so as to improve the adaptability of the sleep intervention strategy to the user's personal situation and enhance the sleep intervention effect.

[0035] The intelligent mobile module 200 includes a drive control unit DCU, an anti - collision system, a command interpreter, an EEPROM interface, an EEPROM for loading specific applets or network connections and implementing in - depth AI calculations, a content (memory) connected to the drive control unit DCU, and an RF - interface connected to the drive control unit DCU. The user's personal information is stored in this memory. In this embodiment, the intelligent mobile module 200 performs near - field communication with the wearable module 100 through the RF - interface. In this embodiment, the intelligent mobile module 200 further includes a CPU connected to the drive control unit DCU. The connection between the intelligent mobile module 200 and the peripheral device occurs after the information verification between the intelligent mobile module 200 and the wearable module 100 is successful. That is to say, when the intelligent mobile module 200 and the wearable module 100 establish near - field communication, the intelligent mobile module 200 can be connected to the peripheral device. Specifically, after the intelligent mobile module 200 and the wearable module 100 complete multi - level logical verification, the intelligent mobile module 200 and the wearable module 100 establish near - field communication. At the same time, the CPU of the intelligent mobile module 200 turns on the Bluetooth or WiFi of the intelligent mobile module 200 so that the intelligent mobile module 200 can establish a connection with the peripheral device.

[0036] In addition, it should be noted that the inductive tag and the reader - writer end are bound and authenticated during device initialization. In other words, when the device leaves the factory, the information of the wearable module 100 is pre - stored on the inductive tag. The inductive tag and the reader - writer end authenticate the information of the wearable module 100 on the inductive tag with the reader - writer end and are bound after authentication to establish near - field communication. Before the wearable module 100 establishes near - field communication with the peripheral device, information authentication is also required. Specifically, the user identification ID, ecological identification ID, and peripheral device ID information stored in the inductive tag are verified with the peripheral device. When the verification is completed, the MCU2 of the peripheral device turns on Bluetooth or WiFi to provide conditions for the connection between the peripheral device and the intelligent mobile module 200. In this way, when the wearable module 100 establishes near - field communication with the peripheral device and the intelligent mobile module 200 respectively, the MCU1 of the wearable module 100 sets the ID information (identity information) of the peripheral device and the ID information (identity information) of the intelligent mobile module 200 as the white list so that when the wearable module 100 approaches the peripheral device or the intelligent mobile module 200 next time, it can automatically link and communicate with the peripheral device or the intelligent mobile module 200. In this embodiment, the inductive tag can not only be used as a module for communicating with the reader - writer end, the peripheral device, and the intelligent mobile module 200, but also be used as a module that does not require power supply and only reads or writes through magnetic field induction.

[0037] In this embodiment, when the user wears the wearable module 100 and approaches the peripheral device, the automatic near-field communication synchronizes the user's personal information, user physiological data, etc. to the peripheral device. The peripheral device generates a second sleep intervention strategy according to the customized logic optimized locally and beneficial to the individual and conducts intervention, such as playing low-frequency music based on personal signs, alpha waves, etc. When the user wears the wearable module 100 and approaches the mobile phone (intelligent mobile module 200), through near-field self-induction, the app or mini-program in the mobile phone is awakened. The app or mini-program calls a dedicated AI agent in the background to generate a personalized AI sleep assistant for the individual (i.e., the first sleep intervention strategy). Subsequently, the intelligent mobile module 200 synchronizes the AI sleep assistant (the first sleep intervention strategy) to each peripheral device to intervene in the user's sleep in a more intelligent and personalized way. In addition, for low-cost peripheral devices that are not powered by themselves, induction tags without a main control can be built into the peripheral devices. When the peripheral device approaches a powered peripheral device that can function, the user personal information already existing in its induction tag can be synchronized to the powered peripheral device for fast point-to-point fast connection synchronization intervention. For example, there is an induction tag on the user's eye mask (wearable module 100). The user personal information is stored in the mini-program associated with the induction tag on the mobile phone (intelligent mobile module 200). Touching the induction tag of the eye mask to the mobile phone can awaken the mini-program to play music and measure physical fitness, etc. At the same time, the user personal information already existing in the mini-program will also be stored in the induction tag of the eye mask. When the eye mask approaches the speaker and earphone (peripheral devices) again, the speaker and earphone automatically obtain the user personal information and the first sleep intervention strategy from the induction tag to play personalized sleep-aiding audio according to the first sleep intervention strategy.

[0038] In one embodiment, the wearable module 100 performs user identification verification before near-field communication with the intelligent mobile module 200 and the peripheral device. When the user identification verification fails, or the wearable module 100 fails to respond, or the information reading fails, the wearable module 100 resets. In this way, when other wearable modules 100 that are not associated with the intelligent mobile module 200 or the peripheral devices in the corresponding sleep intervention ecosystem perform verification with the intelligent mobile module 200 or the peripheral device, or when the current wearable module 100 accidentally contacts other intelligent mobile modules 200 or peripheral devices, misreading of information can be avoided, and the problem of user information leakage caused by accidental triggering can be prevented, realizing the protection of user information.

[0039] Implement the sleep intervention system for quickly perceiving user body signs of the present invention, connect the wearable module 100 to the intelligent mobile module 200 and the peripheral device respectively, and connect the peripheral device to the intelligent mobile module 200. The peripheral device can obtain user physiological data through direct connection with the wearable module 100, and can also achieve indirect connection with the wearable module 100 through connection with the intelligent mobile module 200 to obtain corresponding data, so that the peripheral device can always be connected to the intelligent mobile module 200 or the wearable module 100 to continuously work under the corresponding sleep intervention strategy, ensuring long-term, continuous and reliable sleep intervention for users; when the peripheral device is connected to the wearable module 100, it formulates the second sleep intervention strategy according to the local optimization logic, and can generate the corresponding sleep intervention strategy in the first time to intervene in the user's sleep. When the peripheral device is connected to the intelligent mobile module 200, it can also intervene in the user's sleep according to the first sleep intervention strategy generated based on the user's personal situation, realizing the combination of quickly obtaining sleep intervention means and long-term systematic sleep intervention methods. While ensuring that the user can quickly obtain the sleep intervention strategy and intervene in sleep, the sleep intervention strategy can be further adjusted through data related to personal information and physiological state, realizing long-term, continuous and reliable sleep intervention, improving the user experience and helping to improve the sleep condition.

[0040] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0041] The above-described embodiments only represent several implementation manners of the present invention, and the description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the invention patent should be subject to the appended claims.

Claims

1. A sleep intervention system for quickly sensing user body signs, characterized in that, Including: A wearable module which stores user personal information and is used to be worn on the user's body surface to collect and store user physiological data; An intelligent mobile module for short-range communication with the wearable module. The intelligent mobile module receives user personal information and user physiological data and generates a first sleep intervention strategy based on the individual through an AI intelligent agent; A peripheral module including at least one peripheral device. The peripheral device communicates with the wearable module in a short range and is communicatively connected to the intelligent mobile module. When the peripheral device communicates with the wearable module in a short range, the peripheral device receives and stores user personal information and user physiological parameters, formulates a second sleep intervention strategy according to the user physiological parameters and in accordance with local optimization logic, and intervenes in the user's sleep condition through the second sleep intervention strategy. When the peripheral device is communicatively connected to the intelligent mobile module, the peripheral device intervenes in the user's sleep condition according to the first sleep intervention strategy; 2. The sleep intervention system for quickly sensing user physical signs according to claim 1, wherein, When the number of peripheral devices is 1, a single peripheral device forms a sleep intervention ecosystem. When the number of peripheral devices is greater than 1, multiple peripheral devices are interconnected through a wired or wireless communication unit to form a sleep intervention ecosystem. When a peripheral device is connected to the wearable module or to the intelligent mobile module, each peripheral device works according to the first sleep intervention strategy or the second sleep intervention strategy simultaneously; 3. The sleep intervention system for quickly sensing user physical signs according to claim 2, wherein, The wearable module includes a reader-writer end and a sensing end. The reader-writer end includes a sensor module for collecting user physiological data, a control module connected to the sensor module, and a storage module connected to the control module and storing user personal information. The sensing end is a sensing tag that communicates with the storage module by low-frequency coil induction and receives and stores user personal information and user physiological data; 4. The sleep intervention system for quickly sensing user physical signs according to claim 3, wherein, The personal information in the sensing tag is stored in partitions. The sensing tag includes at least three information storage areas. The first information storage area is used to store user identification ID, ecosystem identification ID, and peripheral device ID information. The second information storage area is used to store user health sign data information. The third information storage area is used to store the background AI intelligent agent information required when the wearable module is matched with the intelligent mobile module; 5. The sleep intervention system for quickly sensing user body signs according to claim 4, wherein Before the intelligent mobile module communicates with the wearable module in a short range, the intelligent mobile module sequentially verifies user identification ID, ecosystem identification ID, and peripheral device ID information, timestamp information, user health sign data information, and background AI intelligent agent information. After the intelligent mobile module communicates with the wearable module in a short range, the intelligent mobile module calls the corresponding background AI intelligent agent and generates a first sleep intervention strategy based on the individual, and sends information to the peripheral device through Bluetooth or wifi, so that the peripheral device works according to the first sleep intervention strategy in accordance with the corresponding intervention type and intervention parameters; 6. The sleep intervention system for quickly sensing user physical signs according to claim 4, characterized in that, When the wearable module communicates with the intelligent mobile module in a short range, the user personal information in the sensing tag is updated through a small program on the intelligent mobile module. When the wearable module communicates with the peripheral device in a short range, the user personal information in the peripheral device is updated through the sensing tag and the first sleep intervention strategy is used to replace the second sleep intervention strategy.

7. The sleep intervention system for quickly sensing user physical signs according to claim 1, characterized in that The wearable module performs user identification verification before performing near-field communication with the intelligent mobile module and peripheral devices. When the user identification verification fails, or the wearable module fails to respond, or the information reading fails, the wearable module resets.

8. The sleep intervention system for quickly sensing user body signs according to claim 1, wherein, The peripheral device is one of an aroma generator, a low-frequency generator capable of emitting alpha waves, an audio player, a sports device, a sleep aid eye mask, and a sleep aid pillow.

9. The sleep intervention system for quickly sensing user physical signs according to claim 1, wherein The main body of the wearable module is one or more of a ring, an eye mask, a headband, a bracelet, and a brain patch.

10. The sleep intervention system for quickly sensing user body signs according to claim 1, characterized in that, When the peripheral device is connected to both the wearable module and the intelligent mobile module at the same time, the peripheral device intervenes in the user's sleep condition through the first sleep intervention strategy.

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