Intelligent sleep monitoring system and monitoring method based on Internet of Things

Abstract

The invention relates to the technical field of sleep systems, in particular to an intelligent sleep monitoring system and method based on the Internet of Things. The sleep monitoring system comprises at least one mattress, and the mattress sequentially comprises a soft material layer, a sensor layer and a hard material from top to bottom. The sensor layer is provided with a pressure sensor, the hard material layer is provided with a sound sensor, and the pressure sensor and the sound sensor transmit data to an upper computer through the same circuit board. The monitoring method comprises the following steps that S1, an upper computer records data in advance, and a standard database is constructed; s2, the mattress enters a working state under pressure; s3, comparing the recorded non-zero vector data points with standard sleeping posture data in a standard database by the upper computer, searching the closest sleeping posture state, and recording a result; meanwhile, processing and integration are carried out again; s4, displaying the figure sleeping posture simulation picture and a final result by the upper computer and the mobile phone; and S5, if an abnormal condition occurs, the upper computer and the mobile phone give an alarm at the same time.

Description

Technical Field

[0001] The present application relates to the technical field of sleep systems, and specifically to an intelligent sleep monitoring system and monitoring method based on the Internet of Things. Background Art

[0003] With the rapid development of science and technology, people now carry watch rings with them and install video monitors and other detection equipment in their bedrooms to observe their sleep status. However, wearing a watch ring for a long time to detect sleep comfort is quite difficult.

[0004] Therefore, a smart mattress that can reduce the pressure of guardians is continued, while also providing a more comfortable sleeping state for the elderly. Summary of the invention

[0005] The purpose of this application is to provide an intelligent sleep monitoring system based on the Internet of Things to solve the problems existing in the prior art.

[0006] In order to solve the above technical problems, the present application provides the following technical solutions: an intelligent sleep monitoring system based on the Internet of Things, comprising at least one mattress, wherein the mattress comprises a soft material layer, a sensor layer and a hard material layer from top to bottom, the sensor layer is provided with a pressure sensor, and the hard material layer is provided with a sound sensor, and the pressure sensor and the sound sensor transmit data to a host computer through the same circuit board.

[0007] Through the above technical solution, the pressure sensor built into the mattress can detect and transmit the body pressure distribution data of the monitored person in bed, while the sound sensor is responsible for capturing and transmitting the breathing status of the monitored person, including whether snoring occurs. The data collected by these two sensors will be sent to the host computer for analysis and organization, and an alarm will be issued to the monitor when necessary, effectively reducing the burden on the monitor.

[0008] Furthermore, the pressure sensor array is distributed throughout the sensor layer, the spacing between rows of the pressure sensors is 10 to 15 cm, each row is staggered, and each pressure sensor is spaced 10 to 15 cm apart.

[0009] Through the above technical solution, a too dense layout of pressure sensors may lead to increased costs and reduce the comfort of the mattress, while a too sparse layout may affect the accuracy of the sensing data. Therefore, a reasonable layout can ensure the accuracy of the sensing position.

[0010] Furthermore, the sound sensors are distributed at the end of the hard material layer, and the width of the end is in the range of 30 to 50 cm; the spacing between rows of the sound sensors is 30 to 50 cm, and each row is staggered, with each sound sensor spaced 30 to 50 cm apart.

[0011] According to the above technical solution, the sound sensor should be arranged close to the head of the monitored person to capture physiological data such as breathing and snoring. If the sound sensor is too close to the head, it may make the monitored person feel uncomfortable; on the contrary, if the layout is too loose, it may not be able to accurately detect breathing data in time according to the changes in the sleeping posture of the monitored person. Therefore, a spacing of 30 to 50 cm is a more ideal choice.

[0012] The control circuit of the pressure sensor and the sound sensor is designed to set switches in each row and column to facilitate the individual selection and control of each sensor. For example, if the pressure sensor data of the fifth row and the ninth column needs to be obtained, the control circuit will activate the switches of the fifth row and the ninth column respectively to form a data transmission path, thereby obtaining the data of the pressure sensor. The pressure sensor and the sound sensor are powered by independent power supplies.

[0013] Furthermore, the mattress comprises a safe zone and two dangerous zones, the two dangerous zones are respectively located within 20 cm of the left edge and 20 cm of the right edge of the mattress, and the safe zone is located between the two dangerous zones.

[0014] Through the above technical solution, the person being supervised can be guided to sleep in a safe area, thereby reducing the supervision pressure on the guardian.

[0015] Furthermore, the pressure sensor and the sound sensor are both communicatively connected to the same host computer; and the host computer communicates with a mobile phone.

[0016] Through the above technical solution, the host computer can display the sleeping posture and final analysis results of the monitored person. At the same time, the mobile phone application also provides real-time display of sleeping posture changes and final results, so that the guardian can flexibly choose the viewing method according to personal needs.

[0017] Furthermore, the hard material layer of the mattress is formed by splicing, welding or assembling a plurality of pieces of hard material.

[0018] Through the above technical solution, the hard layer of the mattress is not composed of a single piece of hard material, but is composed of multiple small pieces of hard materials. These small pieces of hard materials only need to meet the conditions for welding or splicing, such as steel-based metal materials. In this way, the finished mattress can be easily bent and folded, thereby saving space; at the same time, it also expands the scope of application of the mattress. For example, when combined with a hospital bed, the height of the head of the bed can be adjusted at any time; when combined with a nursing bed, testing and nursing can be carried out at the same time.

[0019] Based on the above technical problems, the present application also provides a second solution: a monitoring method of an intelligent sleep monitoring system based on the Internet of Things, based on the sleep monitoring system described above, including the following process: S1. The host computer enters data in advance and builds a standard database; S2. The mattress is under pressure, and the pressure sensor enters the working state first. The sound sensor at the head of the bed enters the working state when there is pressure on the pressure sensor at the head of the bed; S3. The host computer removes zero data points from the data recorded by the pressure sensor and the sound sensor, and compares the non-zero vector data points with the standard sleeping posture data of the standard database to find the closest sleeping posture state, and records the sleeping posture results found in the host computer; At the same time, the host computer processes and integrates the data recorded by the pressure sensor and the sound sensor again; S4. The host computer displays the simulated sleeping posture picture of the character and the final result, and the host computer and the mobile phone transmit the character status changes and the final result; S5. If it is determined that an abnormal situation occurs, the host computer and the mobile phone simultaneously perform alarm processing.

[0020] Through the above technical solution, the processed pressure sensor and sound sensor data become more accurate. The host computer and mobile phone not only display the final results, but also present the simulated image of the person's sleeping position, so that the guardian can intuitively understand the posture of the person and predict the sleeping position after turning over. The simulated image of the sleeping position can be designed in a cartoon form to attract the attention of the guardian. In this way, the guardian can even be a child. For example, when the parents are busy, the child can observe and report the situation of the sick grandparents in bed, and then inform the parents, thereby expanding the candidates for guardians.

[0021] Furthermore, the specific process of the host computer processing and integrating the acquired data in step S3 is: the host computer detects the sleeping posture of the person being tested based on the obtained pressure distribution data, and records the time the person being tested maintains the same sleeping posture. The background color of the display area of ​​the host computer changes with time, and the result is finally displayed by the host computer.

[0022] Through the above technical solution, the relationship between color and time is used to assist the display result of the host computer, which is concise and intuitive and easy to quickly identify.

[0023] Furthermore, in step S5, when it is determined that an abnormal situation occurs, the specific process of the host computer and the mobile phone simultaneously performing alarm processing is as follows: Fall-out-of-bed risk authentication: When the following three conditions are met at the same time, it can be determined that the person being monitored is in danger of falling out of bed: First, breathing sounds are detected in the mattress danger zone; Second, breathing sounds are not detected in the mattress safety zone; Third, the number of pressure sensors that detect data in the safety zone is less than the number of pressure sensors that detect data in the danger zone. When the three conditions occur at the same time, the host computer and the mobile phone both perform alarm processing to prompt the guardian; Prone sleeping suffocation authentication: When the monitored person turns over, the detected breathing frequency suddenly increases or decreases rapidly, and the pressure change caused by breathing suddenly increases, and the situation lasts for 30 seconds, it can be determined as prone sleeping suffocation, and the host computer and mobile phone both perform alarm processing; Epilepsy certification: For a person under guardianship who may suffer from epilepsy, when the pressure value detected by the pressure sensor changes from stable to rapid changes in size during a certain period of time, it can be determined as epilepsy, and the host computer and the mobile phone both perform alarm processing.

[0024] Through the above technical solution, a unique identification mechanism is set up, and specific alarm trigger conditions are set for various abnormal situations, so that guardians can more accurately identify the various risks faced by the supervised persons and take corresponding countermeasures in a timely manner.

[0025] Compared with the prior art, the beneficial effects achieved by this application are: (1) Comprehensive monitoring of sleep status: Through the combination of pressure sensors and sound sensors, the system can comprehensively monitor the user's pressure distribution, breathing sounds and sleeping posture, providing multi-dimensional data support for sleep quality assessment.

[0026] (2) High-precision sleeping posture recognition: Optimizing sensor layout, such as the specific spacing distribution of pressure sensors and sound sensors, and data processing methods, such as eliminating zero data points and comparing with the standard database, significantly improves the accuracy and real-time performance of sleeping posture recognition.

[0027] (3) Real-time warning of abnormal situations: By dividing the area into safe and dangerous areas and combining the data from pressure sensors and sound sensors, the system can accurately determine abnormal situations such as the risk of falling out of bed, suffocation while sleeping prone, and epilepsy, and issue alarms in a timely manner to ensure user safety.

[0028] (4) Intuitive visual interface: The host computer displays simulated pictures of the person’s sleeping posture, breathing rate, and background color changes, allowing the guardian to intuitively understand the user’s sleeping status, improving the system’s interactivity and user experience.

[0029] (5) Remote monitoring and convenience: The host computer communicates with the mobile phone, and the monitor can remotely view the user's sleep status and abnormal conditions in real time, which improves the convenience and applicability of the system.

[0030] (6) System stability and durability: Through modular design such as splicing, welding or assembly of hard material layers, the system has high stability and durability, reducing maintenance costs.

[0031] (7) Personalization and intelligence: Users can choose the appearance of the character, and the system can be personalized according to user needs; at the same time, the host computer and mobile phone can achieve comprehensive monitoring of the user's sleep status through intelligent data processing and alarm mechanism.

[0032] In summary (1)-(7), the present application provides a high-precision, high-reliability intelligent sleep monitoring system through a new sensor layout, data processing method and alarm mechanism. Its comprehensive technical effects are reflected in comprehensive monitoring of sleep status, accurate identification of sleeping posture, real-time warning of abnormal conditions, intuitive visual interface, convenience of remote monitoring, system stability and personalized intelligent experience, etc., and it has high practicality and market application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings: Figure 1 is a schematic diagram of the overall structure of the mattress of the embodiment; Figure 2 This is a schematic diagram of the communication between the sensor layer of the embodiment and the host computer and mobile phone; Figure 3 is a schematic structural diagram of a hard material layer of an embodiment; Figure 4 It is a monitoring process diagram of an embodiment.

[0034] In the figure, 1. mattress; 11. soft material layer; 13. sensor layer; 131. pressure sensor; 14. hard material layer; 141. sound sensor; 2. host computer; 3. mobile phone. DETAILED DESCRIPTION

[0035] The following will be combined with the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0036] Example 1 An intelligent sleep monitoring system based on the Internet of Things includes at least one mattress 1, and may also be composed of multiple mattresses 1. Figure 1 As shown, each mattress 1 includes a soft material layer 11, a sensor layer 13 and a hard material layer 14 from top to bottom.

[0037] The soft material layer 11 is used to provide a comfortable sleeping experience. Based on actual applications, the soft material layer 11 can be sponge, memory foam, latex, etc., and the uppermost surface is sealed with cloth. The thickness of the soft material layer 11 is about 5 to 10 cm.

[0038] The sensor layer 13 is provided with a pressure sensor 131 for sensing the sleeping posture of the monitored person. Figure 2 As shown, the sensor layer 13 is provided with pressure sensors 131. The pressure sensors 131 are arrayed throughout the sensor layer 13, and the spacing between rows of the pressure sensors 131 is 10 to 15 cm. Each row is staggered, and each pressure sensor 131 is spaced 10 to 15 cm apart. For example, 200×90 cm 2 There are a total of 98 pressure sensors 131 in the mattress 11.

[0039] The hard material layer 14 is provided with a sound sensor 141 for detecting the breathing or snoring of the monitored person. Figure 3 As shown, the thickness of the hard material layer is 15 to 20 cm. The sound sensors 141 are distributed at the ends of the hard material layer 14, and the width of the ends ranges from 30 to 50 cm. The spacing between rows of the sound sensors 141 is 30 to 50 cm, and each row is staggered, and each sound sensor 141 is spaced 30 to 50 cm apart. The sound sensor 141 is a contact microphone that senses audio vibrations by contacting a solid object, and hardly receives air vibrations, thereby reducing the impact of environmental noise.

[0040] The pressure sensor 131 and the sound sensor 141 transmit data to a host computer 2 through the same circuit board, and the host computer 2 analyzes, integrates and displays the data. The host computer 2 communicates with the mobile phone 3, so that both the host computer 2 and the mobile phone 3 can display the final results and alarms to meet the different needs of the guardian.

[0041] The mattress 1 includes a safe area and two dangerous areas, such as Figure 2 As shown, the two danger zones are located within 20 cm of the left edge and 20 cm of the right edge of the mattress 1, respectively, and the safe zone is located between the two danger zones, which is convenient for the host computer 2 or the guardian to monitor. When the supervised person enters the safe zone to sleep, the guardian's monitoring pressure can be reduced. When the elderly are in the danger zone of the mattress 1, the host computer 2 needs to alarm.

[0042] The hard material layer 14 of the mattress 1 is formed by splicing, welding or assembling a number of hard materials. The modular hard material layer 14 only needs to meet welding conditions, such as steel metal materials, etc., so that the finished mattress 1 can be bent and folded.

[0043] like Figure 4As shown, the implementation process of this embodiment is as follows: S1. The host computer enters data in advance and builds a standard database.

[0044] Specifically, before use, the mattress is in an inactive state, and the host computer is in a basic data entry state. In the entry state, the host computer already has common sleeping postures and is in an empty data state. When a posture is selected for data entry, the person being tested changes his or her posture on the mattress according to the sleeping posture by himself or herself or with human assistance, and records the pressure changes on each pressure sensor. A standard sleeping posture database is constructed. The standard sleeping posture database stores data and corresponding character sleeping posture simulation pictures, such as cartoon character sleeping posture simulation pictures. The user's standard database can be updated at any time for long-term reuse.

[0045] S2. When the mattress is under pressure, the pressure sensor first enters the working state, and the sound sensor at the head of the bed enters the working state when there is pressure on the pressure sensor at the head of the bed.

[0046] Specifically, the circuit is designed so that the data transmission order is that the pressure sensor precedes the sound sensor. When the pressure sensor in a certain row and column detects the presence of pressure, the control circuit controls the switch of the sound sensor in the same row and column to open a path, thereby forming a contact microphone and reducing the impact of environmental noise.

[0047] S3. The host computer removes zero data points from the data recorded by the pressure sensor and the sound sensor, and compares the non-zero vector data points with the standard sleeping position data in the standard database to find the closest sleeping position, and records the found sleeping position results in the host computer; at the same time, the host computer processes and integrates the data recorded by the pressure sensor and the sound sensor again.

[0048] Specifically, the host computer receives and stores the data and performs further data processing and analysis, including sleeping posture data, breathing data, snoring data, etc.

[0049] For example, the processing of sleeping posture data: the host computer detects the sleeping posture of the person being tested based on the obtained pressure distribution data, and records the time the person maintains the same sleeping posture. The background color of the host computer display area changes with time. The initial color in the RGB space is black. The longer the sleeping posture is maintained within three hours3, the redder the background color of the host computer display area is. That is, as the sleeping posture is maintained for a longer time, the color of the display area gradually changes from (0, 0, 0) to (255, 0, 0), and the host computer and the mobile phone perform alarm processing at the same time.

[0050] For example, the measurement of breathing frequency: the pressure change data received in the host computer forms a pressure change line graph for each pressure sensor, the frequency of change of the pressure felt by each pressure sensor is measured, and the frequency with the highest number of repetitions of 0.2-0.5Hz is intercepted as the breathing frequency of the person being tested.

[0051] S4. The host computer displays the simulated sleeping posture picture of the character and the final result. At the same time, the host computer and the mobile phone transmit the character status changes and the final result.

[0052] Specifically, when the pressure distribution data matches the standard data, the upper computer display area displays the corresponding sleeping posture simulation picture of the character. The appearance of the character can be selected by the user. In the upper computer display area, the character's abdomen changes up and down, and the change frequency is the same as the detected breathing frequency, and the breathing frequency is displayed near the display area. Determination of the number of turns: When a change in sleeping posture is detected, it is counted as a number of turns. The characters in the display area change their posture synchronously.

[0053] When the detected pressure distribution data cannot match the standard database and the difference is too large, it is determined to be a non-bound user. Because the pressure sensors of this mattress are scattered and the distance between each sensor is large, only rough distinction can be made, such as the distinction between children and adults.

[0054] The host computer is bound to the mobile phone via WiFi, and transmits real-time images of the person's status changes and the processed final results to the mobile phone, such as breathing frequency, frequency of sleeping position changes, receiving alarm signals, whether the detected person is in a dangerous state, etc.

[0055] S5. If an abnormal situation is detected, the host computer and the mobile phone will simultaneously perform alarm processing.

[0056] Specifically, there are many abnormal situations, so the ways of triggering alarms are also diverse.

[0057] For example, the risk of falling out of bed authentication: when the following three conditions are met at the same time, it can be determined that the person being monitored is in danger of falling out of bed: first, breathing sounds are detected in the danger zone of the mattress; second, no breathing sounds are detected in the safety zone of the mattress; third, the number of pressure sensors detecting data in the safety zone is less than the number of pressure sensors detecting data in the danger zone; if all three conditions occur at the same time, both the host computer and the mobile phone will perform alarm processing to prompt the guardian.

[0058] Prone sleeping suffocation certification: When the monitored person turns over, the detected breathing rate suddenly increases or decreases rapidly, and the pressure change caused by breathing suddenly increases, and the situation lasts for 30 seconds, it can be determined as prone sleeping suffocation, and both the host computer and the mobile phone will trigger an alarm.

[0059] Epilepsy certification: For a person under guardianship who may suffer from epilepsy, when the pressure value detected by the pressure sensor changes from stable to rapid changes in size during a certain period of time, it can be determined as epilepsy, and both the host computer and the mobile phone will initiate an alarm process.

[0060] It is obvious to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, and that the present application can be implemented in other specific forms without departing from the spirit or essential features of the present application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application. Any mark in a claim should not be regarded as limiting the claim involved.

Claims

1. An intelligent sleep monitoring system based on the Internet of Things, comprising at least one mattress, characterized in that: The mattress comprises a soft material layer, a sensor layer and a hard material layer from top to bottom, the sensor layer is provided with a pressure sensor, the hard material layer is provided with a sound sensor, and the pressure sensor and the sound sensor transmit data to a host computer through the same circuit board.

2. The intelligent sleep monitoring system based on the Internet of Things according to claim 1 is characterized in that: The pressure sensor array is distributed throughout the sensor layer, the spacing between rows of the pressure sensors is 10 to 15 cm, each row is staggered, and each pressure sensor is spaced 10 to 15 cm apart.

3. The intelligent sleep monitoring system based on the Internet of Things according to claim 1 is characterized in that: The sound sensors are distributed at the ends of the hard material layer, and the width of the ends ranges from 30 to 50 cm; the spacing between rows of the sound sensors is 30 to 50 cm, and each row is staggered, with each sound sensor spaced 30 to 50 cm apart.

4. The intelligent sleep monitoring system based on the Internet of Things according to claim 1 is characterized in that: The mattress comprises a safe zone and two dangerous zones, wherein the two dangerous zones are respectively located within 20 cm of the left edge and 20 cm of the right edge of the mattress, and the safe zone is located between the two dangerous zones.

5. The intelligent sleep monitoring system based on the Internet of Things according to claim 1 is characterized in that: The pressure sensor and the sound sensor are both communicatively connected to the same host computer; and the host computer communicates with the mobile phone.

6. The intelligent sleep monitoring system based on the Internet of Things according to claim 1 is characterized in that: The hard material layer of the mattress is formed by splicing, welding or assembling a plurality of pieces of hard materials.

7. A monitoring method for an intelligent sleep monitoring system based on the Internet of Things, characterized in that: The sleep monitoring system according to any one of claims 1 to 6 comprises the following process: S1. The host computer enters data in advance and builds a standard database; S2. The mattress is under pressure, and the pressure sensor enters the working state first. The sound sensor at the head of the bed enters the working state when there is pressure on the pressure sensor at the head of the bed; S3. The host computer removes zero data points from the data recorded by the pressure sensor and the sound sensor, and compares the non-zero vector data points with the standard sleeping posture data of the standard database to find the closest sleeping posture state, and records the sleeping posture results found in the host computer; At the same time, the host computer processes and integrates the data recorded by the pressure sensor and the sound sensor again; S4. The host computer displays the simulated sleeping posture picture of the character and the final result, and the host computer and the mobile phone transmit the character status changes and the final result; S5. If it is determined that an abnormal situation occurs, the host computer and the mobile phone simultaneously perform alarm processing.

8. The monitoring method of the intelligent sleep monitoring system based on the Internet of Things according to claim 7, characterized in that: The specific process of the host computer processing and integrating the acquired data in step S3 is as follows: the host computer detects the sleeping posture of the person being tested based on the obtained pressure distribution data, and records the time the person being tested maintains the same sleeping posture. The background color of the display area of ​​the host computer changes with time, and the result is finally displayed by the host computer.

9. The monitoring method of the intelligent sleep monitoring system based on the Internet of Things according to claim 7, characterized in that: The specific process of displaying the character sleeping posture simulation picture and the final result in step S4 is as follows: the data and the corresponding character sleeping posture simulation picture are saved in the standard sleeping posture data, and when the pressure distribution data obtained by the pressure sensor matches the standard sleeping posture data, the display area of ​​the host computer displays the corresponding character sleeping posture simulation picture; the appearance of the character can be selected by the user; in the display area of ​​the host computer, the abdomen of the character has up and down changes, and the frequency of the change is synchronized with the detected breathing frequency, and the breathing frequency is displayed near the display area; when a sleeping posture change is detected, the character sleeping posture simulation picture in the display area changes synchronously.

10. The monitoring method of the intelligent sleep monitoring system based on the Internet of Things according to claim 7, characterized in that: In step S5, it is determined that an abnormal situation occurs, and the specific process of the host computer and the mobile phone performing alarm processing at the same time is: Fall-out-of-bed risk authentication: When the following three conditions are met at the same time, it can be determined that the person being monitored is in danger of falling out of bed: First, breathing sounds are detected in the mattress danger zone; Second, breathing sounds are not detected in the mattress safety zone; Third, the number of pressure sensors detecting data in the safety zone is less than the number of pressure sensors detecting data in the danger zone; When the three conditions occur simultaneously, the host computer and the mobile phone both process an alarm to remind the guardian; Prone sleeping suffocation authentication: When the monitored person turns over, the detected breathing frequency suddenly increases or decreases rapidly, and the pressure change caused by breathing suddenly increases, and the situation lasts for 30 seconds, it can be determined as prone sleeping suffocation, and the host computer and mobile phone both perform alarm processing; Epilepsy certification: For a person under guardianship who may suffer from epilepsy, when the pressure value detected by the pressure sensor changes from stable to rapid changes in size during a certain period of time, it can be determined as epilepsy, and the host computer and the mobile phone both perform alarm processing.

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