CN111210602A - Night risk prevention and control method, system and storage medium - Google Patents
Night risk prevention and control method, system and storage medium Download PDFInfo
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- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
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Abstract
The invention discloses a night risk prevention and control method, a night risk prevention and control system and a storage medium, wherein the night risk prevention and control method comprises the following steps of: receiving physiological index data monitored by a BCG module in a mattress in real time, and judging whether the physiological index data exceeds an alarm preset value; if so, sending a physiological abnormity alarm signal, wherein the physiological abnormity alarm signal comprises monitored object information and abnormal physiological index information; when a bed leaving signal sent by the BCG module is received, the bed leaving time is recorded and timing is started, a bed leaving alarm signal is sent when the bed leaving time of a monitored object exceeds the preset time of a single person leaving the bed, and the bed leaving alarm signal contains information of the monitored object. According to the night risk prevention and control method, the BCG module arranged in the mattress is used for monitoring the physiological indexes and the in-bed state of the monitored object, and an alarm signal is sent when the physiological indexes of the monitored object are monitored to be abnormal or the time of leaving the bed is too long, so that the purpose of timely alarming under the abnormal condition is achieved.
Description
Technical Field
The invention relates to the technical field of risk prevention and control, in particular to a night risk prevention and control method, a night risk prevention and control system and a storage medium.
Background
Prisons are places for holding and managing criminals, most of the held criminals are criminals, and safety is a first problem. The safety of the society needs to be guaranteed, and the safety of prison policemen needs to be guaranteed. Therefore, the safety prevention and control management system also becomes an important component of prison informatization. With the technical development of the information industry and the proposal of the science and technology police officer's entrance number in recent years, the safety prevention and control management system of the prison has been greatly developed. However, in recent years, prison crossing and prison police injuring events have occurred, and prison security is constantly being paid attention to. The occurrence of the events provides a severe test for the prison security management system, and the current situation that the prison security control management mode and the technical means relatively lag behind under the condition of the new history must be fundamentally changed. The comprehensive safety prevention and control capability of the prison under the condition of the new history is comprehensively improved, and the comprehensive safety prevention and control capability is an important historical task for the prison unit departments in the current and future period.
However, most of the prison safety prevention and control management systems have more or less problems due to practical factors such as different informatization construction conditions of prisons in various regions. At present, no system for night risk wind control of criminals in prisons in China exists, criminals are managed at night basically by means of traditional passive people staring at the criminals, management states of the criminals are monitored through videos, one police on duty often needs to monitor 200 video monitoring pictures, a fixed video polling mode is adopted, the efficiency is low relatively, the police on duty are in a mental fatigue state for a long time in the evening, various ambient light rays in the evening are weak, and prevention of hidden dangers is limited.
At present, some units adopt a video intelligent analysis technology to send out corresponding alarm to the abnormal behavior state of a prison criminal. The core algorithm of the video intelligent analysis technology belongs to a starting stage internationally and is still in a technology immature stage; the intelligent analysis strategies such as invasion, area detection, wire tripping, crowding, shelving, getting on and off the bed, and blind areas of lower berth are affected by the environment and conditions, so that the false alarm rate is very high, the use requirement is difficult to achieve in a large range, and the purpose of timely alarming under abnormal conditions is lost.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a night risk prevention and control method, which monitors the physiological indexes and the in-bed state of a monitored object through a BCG module arranged in a mattress, and sends out an alarm signal when the physiological indexes of the monitored object are abnormal or the time of leaving the bed is too long, so as to achieve the purpose of timely alarming under the abnormal condition.
The second purpose of the invention is to provide a risk prevention and control system, which monitors the physiological indexes and the in-bed state of a monitored object through a BCG module arranged in a mattress, and sends out an alarm signal when the physiological indexes of the monitored object are abnormal or the time of leaving the bed is too long, so as to achieve the purpose of timely alarming under abnormal conditions.
The invention also aims to provide a computer readable storage medium, and when a program in the storage medium runs, the physiological indexes and the in-bed state of a monitored object can be monitored through a BCG module arranged in a mattress, and an alarm signal is sent when the physiological indexes of the monitored object are monitored to be abnormal or the time of leaving the bed is too long, so that the aim of timely alarming under the abnormal condition is fulfilled.
One of the purposes of the invention is realized by adopting the following technical scheme:
a night risk prevention and control method comprises the following steps:
receiving physiological index data monitored by a BCG module in a mattress in real time, and judging whether the physiological index data exceeds an alarm preset value; if so, sending a physiological abnormity alarm signal, wherein the physiological abnormity alarm signal comprises monitored object information and abnormal physiological index information;
when a bed leaving signal sent by the BCG module is received, the bed leaving time is recorded and timing is started, a bed leaving alarm signal is sent when the bed leaving time of a monitored object exceeds the preset time of a single person leaving the bed, and the bed leaving alarm signal contains information of the monitored object.
Further, the physiological indicator data comprises respiration rate, heart rate and body movement frequency; the alarm preset values comprise a respiration rate alarm preset value, a heart rate alarm preset value and a body movement frequency alarm preset value; and when any one of the respiration rate, the heart rate and the body movement frequency exceeds the corresponding alarm preset value, sending out a physiological abnormity alarm signal.
Further, when judging whether the physiological index data exceeds an alarm preset value, judging whether the physiological index data exceeds an early warning preset value;
when the physiological index data exceeds an early warning preset value but does not exceed an alarm preset value, recording early warning time and starting timing, and when the early warning time exceeds the early warning preset time, generating an early warning record according to the information of the monitored object and the early warning data; and the early warning preset value is smaller than the alarm preset value.
Further, the BCG module is provided with a plurality of BCG modules, and each mattress is provided with one BCG module; each BCG module has a unique number, the method further comprising the steps of:
when three or more monitoring objects in the same dormitory are in the bed leaving state, judging whether the bed leaving time of all the monitoring objects exceeds the preset group bed leaving time, if so, sending a shelving alarm signal, wherein the shelving alarm signal contains information of all the monitoring objects in the bed leaving state.
Further, the method also comprises the following steps: and when an alarm signal is sent out, calling corresponding video monitoring data according to the alarm signal, wherein the alarm signal comprises the physiological abnormity alarm signal, the bed leaving alarm signal and/or the frame-fighting alarm signal.
Further, the method further comprises a security scoring step:
calculating the unit safety score Y of the current day according to the physiological abnormity alarm frequency, the bed leaving alarm frequency and the frame setting alarm frequency of the current monitoring unit, wherein the calculation formula is as follows:
wherein, W1For the unit safety weight corresponding to the physiological abnormality alarm, W2Unit safety weight, X, for bed leaving alarm and fighting alarm1For the total number of alarm times of psychological abnormality, X2For total number of bed-leaving alarms, X3And N is the total number of the monitored objects of the monitoring unit.
Further, the security scoring step further comprises:
calculating personal safety score Y' of each monitored object on the same day according to the physiological abnormity alarm frequency, the bed leaving alarm frequency and the frame setting alarm frequency of each monitored object, wherein the calculation formula is as follows:
Y′＝100-w’1*X’1-w’2*(X’2+X’3)
wherein, w'1Is a personal safety weight, w 'corresponding to a physiological abnormality alarm'2Personal safety weight, X 'for bed leaving alarm and fighting alarm'1Is the psychological abnormal alarm times, X 'of the current monitored object'2Number of bed-exit alarms, X ', of the currently monitored object'3And (5) setting the alarm times for the current monitored object.
The second purpose of the invention is realized by adopting the following technical scheme:
a nighttime risk prevention and control system, comprising: the system comprises a BCG module and a background monitoring terminal, wherein the BCG module is arranged in a mattress and is in wireless communication connection with the background monitoring terminal, and the background monitoring terminal can execute the night risk prevention and control method.
Furthermore, the system also comprises a video monitoring unit which is in communication connection with the background monitoring terminal.
The third purpose of the invention is realized by adopting the following technical scheme:
a computer-readable storage medium, in which an executable computer program is stored, which computer program when executed may implement the night risk prevention and control method as described above.
Compared with the prior art, the invention has the beneficial effects that:
according to the night risk prevention and control method, the BCG module arranged in the mattress is used for monitoring the physiological indexes and the in-bed state of the monitored object, and an alarm signal is sent when the physiological indexes of the monitored object are monitored to be abnormal or the time of leaving the bed is too long, so that the purpose of timely alarming under the abnormal condition is achieved.
Drawings
Fig. 1 is a schematic flow chart of a night risk prevention and control method provided by the present invention;
fig. 2 is a system structure block diagram of a night risk prevention and control system provided by the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Please refer to fig. 1, which is a schematic flow chart of a night risk prevention and control method, including the following steps:
s1, receiving physiological index data monitored by a BCG module in the mattress in real time, and judging whether the physiological index data exceeds an alarm preset value; if so, sending a physiological abnormity alarm signal, wherein the physiological abnormity alarm signal comprises monitored object information and abnormal physiological index information; if the current physiological index data does not exceed the alarm preset value, the physiological index data continues to be received for the next round of judgment;
and S2, when receiving a bed leaving signal sent by the BCG module, recording the bed leaving time and starting timing, and when the bed leaving time of the monitored object exceeds the preset time for a single person to leave the bed, sending a bed leaving alarm signal, wherein the bed leaving alarm signal contains information of the monitored object.
According to the night risk prevention and control method, the BCG module arranged in the mattress is used for monitoring the physiological indexes and the in-bed state of the monitored object, and an alarm signal is sent when the physiological indexes of the monitored object are monitored to be abnormal or the time of leaving the bed is too long, so that the purpose of timely alarming under the abnormal condition is achieved.
The BCG module employs a Murata MEMS-based ultra-low noise cardiac shock scan module (BCG) to continuously monitor heart rate using a MEMS accelerometer. The BCG module utilizes an ultra-low noise and narrow noise bandwidth SCA61T3D MEMS accelerometer and an analog signal adjusting function, and initiates a new era of patient monitoring and old-aged care; this combination of accelerometers and software is capable of processing the embedded heart and respiration rate signals at a 1Hz output rate. The BCG module can provide vital sign information such as Heart Rate (HR), Heart Rate Variability (HRV), relative Stroke Volume (SV), Respiration Rate (RR), and bed occupancy, among others. The BCG module comprises devices such as a sensor, an MCU, an analog-to-digital converter and the like, wherein a BCG algorithm is integrated in the module, and specific data can be output according to customer requirements. If data of the heart rate is needed, the BCG module can directly output the data of the heart rate of the human body.
It should be noted that the monitored object may be a criminal in a prison, or an old person or a patient in an old age home or a nursing home. That is to say, the method can also be applied to the nursing home or the nursing home for risk prevention and control, and the condition that the body of the patient is abnormal at night or the patient falls down in the toilet without being known by people is avoided.
As a preferred embodiment, the physiological indicator data includes respiration rate, heart rate, and body motion rate; the alarm preset values comprise a respiration rate alarm preset value, a heart rate alarm preset value and a body movement frequency alarm preset value; and when any one of the respiration rate, the heart rate and the body movement frequency exceeds the corresponding alarm preset value, sending out a physiological abnormity alarm signal. Whether the vital signs of the monitored subject are normal or not is analyzed according to the physiological index data monitored by the BCG module, and when the physiological index data exceed an alarm preset value, an alarm is given, such as overhigh/overlow respiration rate, overhigh/overlow heart rate and overhigh body movement frequency. It should be noted that the preset respiration rate alarm value and the preset heart rate alarm value both include an upper limit value and a lower limit value, for example, the normal heart rhythm is 60-100 times/minute, bradycardia is attributed to bradycardia if the number of times per minute is less than 60 times, and tachycardia is attributed to tachycardia if the number of times per minute exceeds 100 times; when the heart rate is higher than 100 or lower than 60, a physiological abnormity alarm signal is sent out.
As a preferred embodiment, when determining whether the physiological index data exceeds an alarm preset value, determining whether the physiological index data exceeds an early warning preset value;
when the physiological index data exceeds an early warning preset value but does not exceed an alarm preset value, recording early warning time and starting timing, and when the early warning time exceeds the early warning preset time, generating an early warning record according to the information of the monitored object and the early warning data; and the early warning preset value is smaller than the alarm preset value. According to various body indexes of normal people in the medical field, in the night duty time period, when the data monitored by the BCG module is higher than a set early warning preset value and smaller than the alarm preset value all the time within three minutes, the system automatically generates an early warning record for analyzing the body state of the monitored object later.
In a preferred embodiment, the BCG module has a plurality of BCG modules, and each mattress is provided with one BCG module; each BCG module has a unique number, a dormitory BCG module being a group, the method further comprising the steps of:
when three or more monitoring objects in the same dormitory are in the bed leaving state, judging whether the bed leaving time of all the monitoring objects exceeds the preset group bed leaving time, if so, sending a shelving alarm signal, wherein the shelving alarm signal contains information of all the monitoring objects in the bed leaving state.
In prison, the condition of crowd's blow in the middle of the night usually can appear, through this mode, when many people appear in same dormitory and leave the bed for a long time simultaneously, then send alarm signal to make the staff who is responsible for the control look over in order to eliminate hidden danger.
As a preferred embodiment, the method further comprises the following steps: and when an alarm signal is sent out, calling corresponding video monitoring data according to the alarm signal, wherein the alarm signal comprises the physiological abnormity alarm signal, the bed leaving alarm signal and/or the frame-fighting alarm signal. Through the video monitoring data associated with automatic linkage, the condition of a worker can be rapidly checked. Specifically, the alarm signal includes information of a monitored object triggering the alarm signal, and related video monitoring data, such as video monitoring data in the room, video monitoring data on a passageway out of a door of the room, and the like, is called according to a room number of the monitored object.
As a preferred embodiment, the method further comprises a security scoring step:
calculating the unit safety score Y of the current day according to the physiological abnormity alarm frequency, the bed leaving alarm frequency and the frame setting alarm frequency of the current monitoring unit, wherein the calculation formula is as follows:
wherein, W1For the unit safety weight corresponding to the physiological abnormality alarm, W1＝5，W2Unit safety weight, W, for bed leaving alarm and fighting alarm2＝2，X1For the total number of alarm times of psychological abnormality, X2For total number of bed-leaving alarms, X3And N is the total number of the monitored objects of the monitoring unit.
Further, the security scoring step further comprises:
calculating personal safety score Y' of each monitored object on the same day according to the physiological abnormity alarm frequency, the bed leaving alarm frequency and the frame setting alarm frequency of each monitored object, wherein the calculation formula is as follows:
Y′＝100-w’1*X’1-w’2*(X’2+X’3)
wherein, w'1Is a personal safety weight, w 'corresponding to a physiological abnormality alarm'1＝3，w’2Personal safety weight, w 'for bed exit alarm and fighting alarm'2＝1，X’1Is the psychological abnormal alarm times, X 'of the current monitored object'2Number of bed-exit alarms, X ', of the currently monitored object'3And (5) setting the alarm times for the current monitored object.
Through the above-mentioned safety grading steps, the safety scores of each unit (prison area) and each criminal can be evaluated, so as to carry out corresponding treatment measures. For example, when the score is too low, the main problem is analyzed and corresponding solutions are taken to increase the security score. In addition, trend analysis can be formed according to the scores and alarm data in a period of time, and dormitories or monitoring objects with multiple problems are focused.
Referring to fig. 2, the present invention further provides a night risk prevention and control system, including: the system comprises a BCG module and a background monitoring terminal, wherein the BCG module is arranged in a mattress and is in wireless communication connection with the background monitoring terminal, preferentially, the BCG module is in communication with the background monitoring terminal through a message middleware, and the background monitoring terminal can execute the night risk prevention and control method.
The night risk prevention and control system monitors physiological indexes of a monitored object and the state of the monitored object in a bed through the BCG module arranged in the mattress, and sends out an alarm signal when the physiological indexes of the monitored object are abnormal or the time of leaving the bed is too long, so that the aim of timely alarming under the abnormal condition is fulfilled.
As a preferred embodiment, the system further comprises a video monitoring unit, and the video monitoring unit is in communication connection with the background monitoring terminal. When an alarm signal is sent out, the associated video monitoring data can be linked, so that the workers can quickly check the problems.
In addition, all monitoring data obtained by system monitoring can be uploaded to a cloud server, and data storage and sharing are achieved.
The system combines the current information communication technical means such as biosensor technology, Internet of things technology and automatic control, and focuses on two aspects of management and prevention, the night risk wind control system is actively promoted to be an effective tool for night safety management of the prisons, the safety of the prisons is more comprehensively mastered, the intelligent prisons under the new era background are created, and the construction targets of 'requiring police strength to science and technology, requiring efficiency to science and technology and requiring safety to science and technology' are achieved.
In addition, the present invention also provides a computer-readable storage medium, which stores an executable computer program, and when the computer program runs, the night risk prevention and control method as described above can be implemented.
The computer-readable storage medium stores a computer program in which the method of the present invention, if implemented in the form of software functional units and sold or used as a stand-alone product, can be stored. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer storage medium and used by a processor to implement the steps of the embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer storage media may include content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer storage media that does not include electrical carrier signals and telecommunications signals as subject to legislation and patent practice.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. A night risk prevention and control method is characterized by comprising the following steps:
receiving physiological index data monitored by a BCG module in a mattress in real time, and judging whether the physiological index data exceeds an alarm preset value; if so, sending a physiological abnormity alarm signal, wherein the physiological abnormity alarm signal comprises monitored object information and abnormal physiological index information;
when a bed leaving signal sent by the BCG module is received, the bed leaving time is recorded and timing is started, a bed leaving alarm signal is sent when the bed leaving time of a monitored object exceeds the preset time of a single person leaving the bed, and the bed leaving alarm signal contains information of the monitored object.
2. The nocturnal risk prevention and control method of claim 1, wherein the physiological index data includes a respiration rate, a heart rate, and a body movement frequency; the alarm preset values comprise a respiration rate alarm preset value, a heart rate alarm preset value and a body movement frequency alarm preset value; and when any one of the respiration rate, the heart rate and the body movement frequency exceeds the corresponding alarm preset value, sending out a physiological abnormity alarm signal.
3. The night risk prevention and control method according to claim 1, wherein it is determined whether the physiological index data exceeds an early warning preset value while it is determined whether the physiological index data exceeds an early warning preset value;
when the physiological index data exceeds an early warning preset value but does not exceed an alarm preset value, recording early warning time and starting timing, and when the early warning time exceeds the early warning preset time, generating an early warning record according to the information of the monitored object and the early warning data; and the early warning preset value is smaller than the alarm preset value.
4. The night risk prevention and control method of claim 1 wherein the BCG module has a plurality, one for each mattress; each BCG module has a unique number, the method further comprising the steps of:
when three or more monitoring objects in the same dormitory are in the bed leaving state, judging whether the bed leaving time of all the monitoring objects exceeds the preset group bed leaving time, if so, sending a shelving alarm signal, wherein the shelving alarm signal contains information of all the monitoring objects in the bed leaving state.
5. The night-time risk prevention and control method of claim 4, further comprising the steps of: and when an alarm signal is sent out, calling corresponding video monitoring data according to the alarm signal, wherein the alarm signal comprises the physiological abnormity alarm signal, the bed leaving alarm signal and/or the frame-fighting alarm signal.
6. The night time risk prevention and control method of claim 4, further comprising a security scoring step of:
calculating the unit safety score Y of the current day according to the physiological abnormity alarm frequency, the bed leaving alarm frequency and the frame setting alarm frequency of the current monitoring unit, wherein the calculation formula is as follows:
wherein, W1For the unit safety weight corresponding to the physiological abnormality alarm, W2Unit safety weight, X, for bed leaving alarm and fighting alarm1For the total number of alarm times of psychological abnormality, X2For total number of bed-leaving alarms, X3And N is the total number of the monitored objects of the monitoring unit.
7. The nighttime risk prevention and control method of claim 6, wherein the security scoring step further comprises:
calculating personal safety score Y' of each monitored object on the same day according to the physiological abnormity alarm frequency, the bed leaving alarm frequency and the frame setting alarm frequency of each monitored object, wherein the calculation formula is as follows:
Y′＝100-w’1*X’1-w’2*(X’2+X’3)
wherein, w'1Is a personal safety weight, w 'corresponding to a physiological abnormality alarm'2Personal safety weight, X 'for bed leaving alarm and fighting alarm'1Is the psychological abnormal alarm times, X 'of the current monitored object'2Number of bed-exit alarms, X ', of the currently monitored object'3And (5) setting the alarm times for the current monitored object.
8. A nighttime risk prevention and control system, comprising: the system comprises a BCG module and a background monitoring terminal, wherein the BCG module is arranged in a mattress and is in wireless communication connection with the background monitoring terminal, and the background monitoring terminal can execute the night risk prevention and control method according to any one of claims 1 to 7.
9. The night risk prevention and control system of claim 8, further comprising a video monitoring unit communicatively coupled to the background monitoring terminal.
10. A computer-readable storage medium, in which an executable computer program is stored, which when executed, implements the night risk prevention and control method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111820879A (en) * | 2020-06-23 | 2020-10-27 | 浙江清华长三角研究院 | Health evaluation management method suitable for chronic disease patients |
| CN113947868A (en) * | 2021-10-26 | 2022-01-18 | 云知声智能科技股份有限公司 | Target object monitoring method and device, storage medium and electronic device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103142219A (en) * | 2013-03-28 | 2013-06-12 | 江苏晓山信息产业股份有限公司 | Unrestraint type vital sign monitoring mattress |
| US20170124276A1 (en) * | 2015-10-29 | 2017-05-04 | Lai King Tee | System and method for Mobile Platform Designed for Digital Health Management and Support for Remote Patient Monitoring |
| CN106618526A (en) * | 2016-11-17 | 2017-05-10 | 杭州伯仲信息科技有限公司 | Method and system for monitoring sleep |
| CN108460957A (en) * | 2017-02-17 | 2018-08-28 | 杨力 | A kind of the elder's health group monitoring warning system and method |
| CN108697348A (en) * | 2018-03-16 | 2018-10-23 | 深圳和而泰数据资源与云技术有限公司 | A kind of physiologic information monitoring method and physiologic information monitoring pad, a kind of mattress |
| CN108814118A (en) * | 2018-05-03 | 2018-11-16 | 山东乐康电子产业研究院有限公司 | intelligent mattress and its monitoring method |
| CN109330612A (en) * | 2018-10-12 | 2019-02-15 | 广州昆仑科技有限公司 | Intelligence prison storehouse sensing device and the managing and control system of the supervision place including it |
-
2019
- 2019-12-27 CN CN201911376243.4A patent/CN111210602A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103142219A (en) * | 2013-03-28 | 2013-06-12 | 江苏晓山信息产业股份有限公司 | Unrestraint type vital sign monitoring mattress |
| US20170124276A1 (en) * | 2015-10-29 | 2017-05-04 | Lai King Tee | System and method for Mobile Platform Designed for Digital Health Management and Support for Remote Patient Monitoring |
| CN106618526A (en) * | 2016-11-17 | 2017-05-10 | 杭州伯仲信息科技有限公司 | Method and system for monitoring sleep |
| CN108460957A (en) * | 2017-02-17 | 2018-08-28 | 杨力 | A kind of the elder's health group monitoring warning system and method |
| CN108697348A (en) * | 2018-03-16 | 2018-10-23 | 深圳和而泰数据资源与云技术有限公司 | A kind of physiologic information monitoring method and physiologic information monitoring pad, a kind of mattress |
| CN108814118A (en) * | 2018-05-03 | 2018-11-16 | 山东乐康电子产业研究院有限公司 | intelligent mattress and its monitoring method |
| CN109330612A (en) * | 2018-10-12 | 2019-02-15 | 广州昆仑科技有限公司 | Intelligence prison storehouse sensing device and the managing and control system of the supervision place including it |
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