CN112365970A - Intelligent sensing system for big data of nursing home - Google Patents
Intelligent sensing system for big data of nursing home Download PDFInfo
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- CN112365970A CN112365970A CN202011152999.3A CN202011152999A CN112365970A CN 112365970 A CN112365970 A CN 112365970A CN 202011152999 A CN202011152999 A CN 202011152999A CN 112365970 A CN112365970 A CN 112365970A
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- 230000000474 nursing effect Effects 0.000 title claims abstract description 56
- 238000004891 communication Methods 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 11
- 230000008447 perception Effects 0.000 claims description 4
- 238000010586 diagram Methods 0.000 claims description 3
- 210000000707 wrist Anatomy 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000032683 aging Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000010485 coping Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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Abstract
The invention discloses a nursing home big data intelligent sensing system, which belongs to the field of nursing management and is used for nursing old people. The receiver is used for receiving the physiological characteristic collector information of the person with the non-action ability and the autonomous action ability and the portable physiological characteristic collector information of the person with the autonomous action ability. The invention can realize the sharing of big data in the local area network and the classified management of the cared personnel, effectively improve the management quality of the cared personnel and be beneficial to the nursing home to deal with emergency in time.
Description
Technical Field
The application belongs to the nursing management field, and specifically relates to a big data intelligent perception system of asylum for the aged.
Background
The 21 st century is an age of the aging population. The international common opinion is that when the aged people of 60 years and over account for 10% of the population or the aged people of 65 years and over account for 7% of the total number of the cutting edges in a country or a region, the country or the region is meant to enter an aging society. According to the above standards, China has entered the aging society of the population in 1999, and is one of the developing countries that entered the aging society of the population earlier. At present, the proportion of the aged 65 years old and older in China is close to 10%, and according to the prediction of Chinese human development reports in 2013, the proportion of the population aged 65 years old and older in China to the total population in China is improved to 18.2% by 2030.
The increase in aging population inevitably increases the number of nursing homes and the number of elderly people in nursing homes. For example, the income of nursing and nursing staff in certain areas is low, the sense of professional acceptance is poor, and the gaps among nursing staff of the aged population in local areas are large due to the efficient development of standardized training. Meanwhile, the aged population is continuously increased, the social hierarchy is continuously evolved, the living pressure is gradually increased, and some aged population selectively enters the endowment institution, so that the beds in the endowment institution are more tense, managers in the endowment institution are more deficient, and the management experiences are inconsistent. How to realize the all-round nursing to every old man becomes one of the technical problems that need to be solved in the field of nursing homes or nursing for the aged.
Disclosure of Invention
An object of this application is to provide a asylum for aged big data intelligence perception system, its sharing that can realize the big data in the local area network and to being nursed personnel's classification management, effectively improve the management quality by cared personnel, can help the asylum for aged in time to deal with emergency.
In order to achieve the purpose, the method is realized by the following technical scheme:
the intelligent sensing system for the big data of the nursing home comprises a server for inputting information of cared personnel of the nursing home, wherein the server is connected with a physiological characteristic collector through a receiver, the physiological characteristic collector is used for collecting physiological index data of the cared personnel, and the cared personnel allocate different physiological characteristic collectors according to action capacity; the physiological characteristic collector is connected with a receiver in the area and exchanges data through a short-range communication mode, the receiver is connected with the server in a distributed mode, and the receiver is distributed in the aged-care yard area according to the receiving radius and is divided into outdoor coverage and indoor coverage; the server at least comprises a user basic information unit, a physiological characteristic acquisition unit, a physiological characteristic judgment unit, a pre-alarm unit and a communication unit, wherein the user basic information unit is used for inputting and storing basic information of a person to be nursed and at least comprises a name, an age, an emergency contact, an action capacity, an existing medical history and a normal physiological characteristic range value of the age group, the physiological characteristic acquisition unit is used for receiving and storing information uploaded by the physiological characteristic acquisition unit, and the information is correspondingly stored after being identified; the physiological characteristic judging unit is used for reading the signal of the physiological characteristic acquisition unit, comparing the signal with a normal physiological characteristic range value input in the user basic information unit and sending an early warning signal to the early warning unit according to a set threshold value; the early warning unit is used for receiving an early warning signal sent by the physiological characteristic judging unit according to the threshold value and sending early warning information to an administrator; and the communication unit user acquires the early warning signal and sends an early warning message to the emergency contact in the user basic information unit when the early warning unit is started.
Furthermore, the receivers are distributed in the nursing yard area according to the receiving radius of the receivers, when the receivers are covered indoors, the receivers are located in corridors inside the nursing room and outside the nursing room, and each nursing room is internally provided with a receiver; the receiver in the nursing room of the cared person without action capability adopts a wired and wireless mode; the receiver in the nursing room of the cared person with mobility adopts a wireless mode.
Further, the receiver of the present invention should cover 90% of the coverage radius of the receiver when the receiver is covered outside the home, and the outdoor coverage area includes the outdoor road and the green area of the home.
Furthermore, the physiological characteristic collector is worn on the wrist of the cared person, the heartbeat value and the motion state of the cared person at least need to be collected, when the cared person travels outdoors or indoors, the receiver can sense the physiological characteristic collector and transmit the sensed information and the information of the receiver to the server, and the server sequentially records the information of the physiological characteristic collector and the receiver according to the time sequence and forms a motion path diagram.
Furthermore, the signal of the physiological characteristic collector sensed by the receiver in the invention comprises an equipment identification code, the equipment identification code of the physiological characteristic collector is bound with the user name in the user basic information unit, the information transmitted to the server by the receiver comprises the equipment identification code of the receiver, the equipment identification code of the receiver is bound with the receiver position information stored in the server, and the receiver position information stored in the server is located in the physiological characteristic collection unit.
Furthermore, the server of the invention also stores an electronic map unit of the nursing home, wherein the electronic map unit is marked with an indoor area and an outdoor area, and receiver position coordinates and areas distributed in the indoor area and the outdoor area.
Furthermore, the receiver of the invention is connected to sense information from the same physiological characteristic collector in a plurality of unit times, and sends out an early warning signal to a manager through the early warning unit when the cared person corresponding to the physiological characteristic collector information is a person with action capability.
Furthermore, the intelligent sensing system for the big data of the nursing home further comprises a video monitoring system, wherein the video monitoring system is connected with the server and is arranged at the same position as the receiver; when the server sends out an early warning signal through the early warning unit, the video monitoring system stores the video signal 10 minutes before the early warning signal; the stored video recording needs to be deleted through an account with administrator authority.
Compared with the prior art, the beneficial effects of this application are:
according to the method and the system, the cared personnel are managed in a classified manner by combining a big data collection manner and a perception network, so that the management quality of the cared personnel is effectively improved, and the method and the system can be helpful for the nursing home to deal with emergency situations in time.
Detailed Description
The technical solutions described in the present application are further described below with reference to examples.
In the description of the following paragraphs, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and the like are to be construed broadly and include, for example, fixed connections, removable connections, or integral connections; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. To those of ordinary skill in the art, the specific meaning of the above terms in the present invention can be understood according to the specific circumstances in combination with common general knowledge in the art, design specifications, standard documents, and the like.
Example 1
An intelligent sensing system for big data of an aged nursing home comprises a server for inputting information of cared personnel of the aged nursing home, wherein the server is connected with a physiological characteristic collector through a receiver, the physiological characteristic collector is used for collecting physiological index data of the cared personnel, and the cared personnel allocate different physiological characteristic collectors according to action capacity; the physiological characteristic collector is connected with a receiver in the area and exchanges data through a short-range communication mode, the receiver is connected with the server in a distributed mode, and the receiver is distributed in the aged-care yard area according to the receiving radius and is divided into outdoor coverage and indoor coverage; the server at least comprises a user basic information unit, a physiological characteristic acquisition unit, a physiological characteristic judgment unit, an early warning unit and a communication unit, wherein the user basic information unit is used for inputting and storing basic information of a person to be nursed and at least comprises a name, an age, an emergency contact, an action capacity, an existing medical history and a normal physiological characteristic range value of the age group, the physiological characteristic acquisition unit is used for receiving and storing information uploaded by the physiological characteristic acquisition unit, and the information is correspondingly stored after being identified; the physiological characteristic judging unit is used for reading the signal of the physiological characteristic acquisition unit, comparing the signal with a normal physiological characteristic range value recorded in the user basic information unit and sending an early warning signal to the early warning unit according to a set threshold value; the early warning unit is used for receiving an early warning signal sent by the physiological characteristic judging unit according to a threshold value and sending early warning information to an administrator; and the communication unit user acquires the early warning signal and sends an early warning message to the emergency contact in the user basic information unit when the early warning unit is started.
Example 2
The system comprises receivers, a server and a server, wherein the receivers are distributed in the area of the nursing home according to the receiving radius of the receivers, and when the receivers are covered indoors, the receivers are located in corridors inside and outside the nursing room; the receiver in the nursing room of the cared person without action ability adopts a wired and wireless mode; the receiver with the traveling capability in the nursing room of the cared person adopts a wireless mode; when the receiver is covered outdoors in the nursing home, the coverage should be carried out according to 90% of the coverage radius of the receiver, and the outdoor coverage area comprises outdoor roads and green areas of the nursing home; the physiological characteristic collector is worn on the wrist of a cared person and at least needs to collect the heartbeat value and the motion state of the cared person, when the cared person travels outdoors or indoors, the receiver can sense the physiological characteristic collector and transmit the sensed information and the information of the receiver to the server, and the server sequentially records the information of the physiological characteristic collector and the receiver according to the time sequence and forms a motion path diagram; the signal of the physiological characteristic collector sensed by the receiver comprises an equipment identification code, the equipment identification code of the physiological characteristic collector is bound with a user name in a user basic information unit, the information transmitted to the server by the receiver comprises the equipment identification code of the receiver, the equipment identification code of the receiver is bound with receiver position information stored in a server, and the receiver position information stored in the server is located in the physiological characteristic collection unit; the server is also internally stored with an electronic map unit of the nursing home, the electronic map unit is marked with an indoor area and an outdoor area, and receiver position coordinates and areas distributed in the indoor area and the outdoor area; when the receiver senses information from the same physiological characteristic collector in a plurality of unit times and the nursed person corresponding to the physiological characteristic collector information is a person with action capability, an early warning signal is sent to the administrator through the early warning unit. The structure and connection relationship of the rest parts are the same as those described in any of the foregoing embodiments, and are not described herein again to avoid the tedious text.
Example 3
The intelligent sensing system for the big data of the nursing home further comprises a video monitoring system, wherein the video monitoring system is connected with a server and is arranged at the same position as a receiver; when the server sends out an early warning signal through the early warning unit, the video monitoring system stores the video signal 10 minutes before the early warning signal; the stored video recording needs to be deleted through an account with administrator authority. The structure and connection relationship of the rest parts are the same as those described in any of the foregoing embodiments, and are not described herein again to avoid the tedious text.
On the basis of the above-mentioned embodiments, the following paragraphs are used to continue to describe the technical features involved therein and the functions and actions of the technical features in the technical solutions so as to help those skilled in the art fully understand the technical solutions and reproduce the technical solutions.
In the invention, the server is also stored with three-dimensional space model maps of the outdoor area and the indoor area, and the position of the receiver is marked in the three-dimensional space model maps of the outdoor area and the indoor area according to the identification code of the receiver equipment. When a user-worn physiological characteristic collector enters an outdoor area or an indoor area, it should be sensed by a single receiver and can be recorded by the receiver and uploaded to a server. When the physiological characteristic collector worn by the user moves to the edge position covered by the receiver, the physiological characteristic collector is sensed by the receivers, the three receivers all send information to the server according to the three-point positioning principle, and the server obtains and marks the activity track of the user on the electronic map according to the information fed back by the three receivers.
In the invention, after the physiological characteristic collector worn by the user is received by the receiver in the area, the receiver can sense the unique equipment code of the physiological characteristic collector of the user in a sensing mode and transmit the unique equipment code of the receiver and the unique equipment code to the server. The server matches the information of the cared person in the user basic information unit according to the unique equipment code of the physiological characteristic collector, matches the position information in the electronic map according to the unique equipment code of the receiver, forms an activity track according to the time sequence and stores the activity track into the physiological characteristic collection unit or other unit databases.
Meanwhile, the video monitoring equipment near the receiver can shoot the passing person and store the shot pictures in the server. The server should store the above-mentioned photos and match them to a temporary database under the name of the corresponding person. And deleting the stored temporary data within a set time. When the physiological characteristic collector worn by the user is sensed by the same sub-receiver in a plurality of continuous unit times, the video monitoring equipment starts a video storage uploading mode, and gives an alarm to a manager or gives an alarm to a user account with the function of receiving alarm information through an early warning unit of the server.
In the invention, the physiological characteristic collector worn by the user with action ability has the function of sensing the biological information of the user, at least has the functions of sensing heartbeat, step number and motion state, and has the capability of sensing the unique equipment identification code by external equipment through short-range communication and connecting with the receiver. Specifically, when the user wears the physiological characteristic collector, the physiological characteristic collector can sense the state of the user by collecting the heartbeat of the user, sense the traveling capacity of the user by collecting the number of steps, and collect the state of the user by collecting the motion state (including walking and running). Under the general condition, as long as the user wears the physiological characteristic collector, the heartbeat of the user can be collected all the time under the condition that the user is not picked up, after the user removes the terminal, the terminal cannot collect heartbeat signals to weaken or lose the heartbeat signals, the receiver connected with the terminal can obtain the information and transmit the information to the server, and the server sends out alarm signals through the early warning unit. The alarm signal is as described in the preceding paragraph.
In the present invention, the server should store the name, identification number, age, emergency contact, mobility, past medical history of the user and a normal physiological characteristic value range matched with the age range of the person to be cared in the user basic information unit. The identification code is used as a basic component of the user big data, and the identification code corresponding to the health state or the file of the user can be acquired from the cloud server through the identification number. In the invention, the information stored in the user basic information unit is in an encrypted state, and a non-administrator or administrator-entitled account has no right to view.
In the invention, the physiological characteristic collector collects the collected information to a physiological characteristic collecting unit in a server, and the physiological characteristic collecting unit corresponds the collected information to the account name in the user basic information unit according to the unique equipment identification code of the physiological characteristic collector and can compare the collected information with the normal physiological characteristic data value of the age bracket stored in the part. In the present invention, the physiological characteristics collected by the physiological characteristic collecting unit mainly refer to measurement data that a cared person without mobility is performing fixed-point timing in a nursing room by using a special collecting device. Due to technical limitation, when a cared person with mobility is in a non-nursing room, conventional data such as heart rate and the like are acquired only through a portable mobile terminal worn by the cared person, so that the cared person with mobility is prevented from falling down, sudden diseases and the like. The person to be cared for who has the ability to move needs to be in the nursing room when collecting the physiological characteristic data at fixed points and fixed time.
In the invention, if the physiological characteristic data acquired by the physiological characteristic acquisition unit exceeds the normal physiological characteristic data of the age group, different early warning information is set according to the exceeding proportion. For example, when the value exceeds 5% -10%, the primary warning information should be sent to the administrator, and if the value exceeds 10%, the primary warning information should be sent through the warning unit. The primary early warning information can be simultaneously sent to an administrator and an emergency contact under the user account through the communication unit. When the portable physiological characteristic acquisition unit worn by a cared person with action capability cannot detect a heartbeat signal or the heartbeat signal is gradually weakened, or when a user is in the same receiver range for a long time and cannot sense a motion state, a primary early warning signal should be sent out, and a manager should inform a coping person to timely drive to the position where the receiver is located to check whether an emergency exists. The first-level early warning signal under the condition is preferably sent to the administrator, and the first-level early warning signal is sent to the emergency contact under the name of the cared person through the communication unit of the server after the first-level early warning signal is confirmed by the administrator.
Based on the disease possibly corresponding to the acquired physiological characteristic information and the past medical history in the basic information of the cared person, when the early warning unit sends out an early warning signal, the server should generate an emergency scheme for the cared person. The emergency scheme is preferably sent to an administrator or sent to a fixed-point emergency mechanism through the cloud service platform after the emergency scheme is confirmed by the administrator. The emergency plan should preferentially record the basic information, past medical history, physiological characteristic information and other contents of the user.
Finally, although the present description refers to embodiments, not every embodiment contains only a single technical solution, and such description is for clarity reasons only, and those skilled in the art should make the description as a whole, and the technical solutions in the embodiments can also be combined appropriately to form other embodiments that can be understood by those skilled in the art.
Claims (8)
1. The utility model provides a asylum for aged big data intelligence perception system which characterized in that: the system comprises a server for inputting information of cared personnel in an old nursing home, wherein the server is connected with a physiological characteristic collector through a receiver, the physiological characteristic collector is used for collecting physiological index data of the cared personnel, and the cared personnel allocate different physiological characteristic collectors according to action capacity; the physiological characteristic collector is connected with a receiver in the area and exchanges data through a short-range communication mode, the receiver is connected with the server in a distributed mode, and the receiver is distributed in the aged-care yard area according to the receiving radius and is divided into outdoor coverage and indoor coverage; the server at least comprises a user basic information unit, a physiological characteristic acquisition unit, a physiological characteristic judgment unit, an early warning unit and a communication unit, wherein the user basic information unit is used for inputting and storing basic information of a person to be nursed and at least comprises a name, an age, an emergency contact, an action capacity, an existing medical history and a normal physiological characteristic range value of the age group, the physiological characteristic acquisition unit is used for receiving and storing information uploaded by the physiological characteristic acquisition unit, and the information is correspondingly stored after being identified; the physiological characteristic judging unit is used for reading the signal of the physiological characteristic acquisition unit, comparing the signal with a normal physiological characteristic range value input in the user basic information unit and sending an early warning signal to the early warning unit according to a set threshold value; the early warning unit is used for receiving an early warning signal sent by the physiological characteristic judging unit according to a threshold value and sending early warning information to an administrator; and the communication unit user acquires the early warning signal and sends an early warning message to the emergency contact in the user basic information unit when the early warning unit is started.
2. The intelligent sensing system for the big data of the nursing home according to claim 1, wherein: the receivers are distributed in the nursing yard area according to the receiving radius of the receivers, when the receivers are covered indoors, the receivers are located in corridors inside the nursing room and outside the nursing room, and each nursing room is internally provided with a receiver; the receiver in the nursing room of the cared person without action ability adopts a wired and wireless mode; the receiver in the nursing room of the cared person with mobility adopts a wireless mode.
3. The intelligent sensing system for the big data of the nursing home according to claim 1, wherein: when the receiver is covered outside the nursing home, the coverage should be performed according to 90% of the coverage radius of the receiver, and the outdoor coverage area comprises outdoor roads and green areas of the nursing home.
4. The intelligent sensing system for the big data of the nursing home according to claim 1, wherein: the physiological characteristic collector is worn on the wrist of a cared person and at least needs to collect the heartbeat value and the motion state of the cared person, when the cared person travels outdoors or indoors, the receiver can sense the physiological characteristic collector and transmit the sensed information and the information of the receiver to the server, and the server sequentially records the information of the physiological characteristic collector and the receiver according to the time sequence and forms a motion path diagram.
5. The intelligent sensing system for the big data of the nursing home according to claim 4, wherein: the signal of the physiological characteristic collector sensed by the receiver comprises an equipment identification code, the equipment identification code of the physiological characteristic collector is bound with a user name in a user basic information unit, the information transmitted to the server by the receiver comprises the equipment identification code of the receiver, the equipment identification code of the receiver is bound with receiver position information stored in the server, and the receiver position information stored in the server is located in the physiological characteristic collection unit.
6. The intelligent sensing system for the big data of the nursing home according to claim 5, wherein: the server is also internally stored with an electronic map unit of the nursing home, an indoor area and an outdoor area are marked in the electronic map unit, and receiver position coordinates and areas distributed in the indoor area and the outdoor area can be called by the electronic map unit to mark an action route according to a time sequence after the server receives information transmitted by the receiver, and the action route information is transmitted to a user name corresponding to the physiological characteristic acquisition unit in the server.
7. The intelligent sensing system for the big data of the nursing home according to claim 6, wherein: when the receiver senses information from the same physiological characteristic collector in a plurality of unit times and the nursed person corresponding to the physiological characteristic collector information is a person with action capability, an early warning signal is sent to the administrator through the early warning unit.
8. The intelligent sensing system for the big data of the nursing home according to any one of the claims 1 to 7, wherein: the system also comprises a video monitoring system, wherein the video monitoring system is connected with the server and is arranged at the same position as the receiver; when the server sends out an early warning signal through the early warning unit, the video monitoring system stores the video signal 10 minutes before the early warning signal; the stored video recording needs to be deleted through an account with administrator authority.
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| CN202011152999.3A CN112365970A (en) | 2020-10-26 | 2020-10-26 | Intelligent sensing system for big data of nursing home |
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| CN202011152999.3A CN112365970A (en) | 2020-10-26 | 2020-10-26 | Intelligent sensing system for big data of nursing home |
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