CN109360374A - A kind of falling over of human body automatic early-warning system based on Internet of Things - Google Patents
A kind of falling over of human body automatic early-warning system based on Internet of Things Download PDFInfo
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- CN109360374A CN109360374A CN201811562783.7A CN201811562783A CN109360374A CN 109360374 A CN109360374 A CN 109360374A CN 201811562783 A CN201811562783 A CN 201811562783A CN 109360374 A CN109360374 A CN 109360374A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The falling over of human body automatic early-warning system based on Internet of Things that the present invention provides a kind of, including multiple information acquisition terminals, group network termination and central server, the information acquisition terminal, for acquiring Studies of Human Body Heat infrared information and environmental information, and the built-in ZigBee-network module mutually passed for data and the communication module for carrying out network communication to the central server；All data are sent to the central server, described group of network termination is one in multiple information acquisition terminals for concentrating the information of multiple information acquisition terminal acquisitions by described group of network termination；Warning information is pushed on the communicating terminal of binding by the central server for receiving the data of described group of network termination transmission and carrying out finishing analysis.Using ZigBee technology, the data transmission between information acquisition terminal is realized, solve the problems, such as that networking problems and traditional technology rely on wifi；The case where being combined using Studies of Human Body Heat infrared sensor with image capture module, excluding special scenes.
Description
Technical field
The present invention relates to falling over of human body early warning technology field more particularly to a kind of falling over of human body based on Internet of Things are automatically pre-
Alert system.
Background technique
China is the most country of elderly population and aging of population country with the fastest developing speed in the world at present
One.It on the one hand is that the elderly is more and more, on the other hand since migrant worker causes a large amount of the elderlys more, nobody accompanies and attends to.
How to realize that the supervision nurse of the health control and elderly person of no family to the elderly is the direction of relevant departments and enterprise effort always.
According to the data of world's disease control and protection center, old man of the age greater than 65 years old for having more than one third every year dies of meaning
The outer event fallen down or accidental falls cause, falls down as the elderly's injury and dead major reason.Studies have pointed out that annual
Aged old man at least falls down once, while showing that falling down is also to cause dead key factor from data.
Existing falling over of human body (the elderly) monitoring system substantially uses following several technical solutions:
Sensor-based mode uses acceleration transducer, the electronics built in wearable device by wearing intelligent wearable device
Compass, microcontroller etc. combine, and calculate locating for human body substantially posture by microcontroller, see if fall out default valve
Whether value meets the condition of falling down, thus send a warning, such as the patent of Patent No. " 201310247296.2 ", patent
Entitled " a kind of home for the aged's intelligent safeguard system based on technology of Internet of things "；
Mode based on visual image analysis acquires equipment by using image/video, equipment is placed in house, figure is used
Acquired image data is analyzed as Video Analysis Technology and moving target detecting method, falls down item to determine whether meeting
Part, so that early warning is carried out, such as the patent of Patent No. " 200610051729.7 ", it is entitled " to be based on all purpose computer
The household safe and security equipment for solitary old person of vision "；
Based on the mode of button urgent call, by wearing a help calling device, when the elderly falls down by autonomous
Calling device is triggered, to send a warning.
It is described for the shortcomings that prior art mentioned above scheme:
Intelligent wearable device, 1, most the elderly is unwilling the miscellaneous wearable device of body-worn；2, wearable device exists
Powerup issue (many elderlys are unfamiliar with wearable device, it is not known that when how should go to equipment charge)；3, intelligence is worn
It wears equipment and mainly collects data by way of sensor, early warning judgement is the data progress modeling analysis to collection, because
The basic data of each the elderly such as height etc. is different, will lead to the process that model has adjustment to verify, and there are times of erroneous judgement
Number situation is more.
Image/video acquisition based on visual image analysis, 1, image/video acquisition invasion of privacy, especially old solitary people
It is easy to bring the discomfort of psychology to the elderly；2, image/video acquisition is under existing technical conditions because data volume mostly uses greatly
Wifi or wired mode connect the Internet transmission data, will appear the blank phase of monitoring when there is the case where suspension just；3, more
The network interworking of a image/video equipment is indifferent, needs to arrange multiple collection points in general house, same because image regards
The data volume of frequency is big, can not solve the problems, such as networking using mechanics of communication is marched into the arena under prior art conditions；4, common figure line
Video acquisition is easy to be influenced by light intensity, it is possible to bring the error of behavioral data.
Help calling device, 1, the elderly is after falling down, it is easy to occur that body can not move or brain loses
The case where consciousness, helps calling device that will fail in this case.
The falling over of human body automatic early-warning system based on Internet of Things that the purpose of the present invention is to provide a kind of can be realized old
The automatic early-warning that year people (human body) falls down indoors, provides timely informing function for relatives family members, provides in time for the elderly
Medical rescue function, reduce and brush the injured or even dead probability of bring the elderly because unexpected.Relatives family members can be timely
Early warning phone is received, the elderly's situation is understood.
Summary of the invention
Place in view of the deficiency of the prior art, the present invention provides a kind of falling over of human body based on Internet of Things is automatic
Early warning system, to solve the problems, such as that the prior art is inconvenient to use, the practicability is poor.
The falling over of human body automatic early-warning system based on Internet of Things that the present invention provides a kind of, including multiple information collections are whole
End, group network termination and central server,
The information acquisition terminal, for acquiring Studies of Human Body Heat infrared information and environmental information, analysis Studies of Human Body Heat infrared information is obtained
Human body attitude information, and the built-in ZigBee-network module mutually passed for data and for carrying out network to the central server
The communication module of communication；
Described group of network termination, for concentrating the information of multiple information acquisition terminals acquisitions, when there is the number acquired
When according to reaching threshold value of warning, all data of acquisition are sent to the central server by described group of network termination, and the networking is whole
End is one in multiple information acquisition terminals, and the self-organization network of ZigBee technology is used by the ZigBee-network module
Communication characteristic independently selects the information acquisition terminal as described group of network termination；
The central server, for receiving the data of described group of network termination transmission and carrying out finishing analysis, if meeting early warning
Warning information is then pushed on the communicating terminal of binding by condition.
Further, the information acquisition terminal includes microprocessor and the Studies of Human Body Heat that connect respectively with the microprocessor
Infrared sensor, image capture module, data model module, ZigBee-network module, communication module, human body thermal infrared sensor
For collecting Studies of Human Body Heat infrared information, in the imaging and data model module by microprocessor analysis Studies of Human Body Heat infrared information
Model judges the posture information of human body, and image capture module is for acquiring environmental information locating for the information acquisition terminal；
The data that other information acquisition terminal acquires for selection group network termination and are transmitted to this group of network termination by ZigBee-network module,
Communication module is used to all data that this group of network termination acquires being sent to central server.
Further, the communication module include can free switching Internet of Things card communication unit and WiFi communication unit,
The priority of the WiFi communication unit is higher than the Internet of Things card communication unit.
Further, the information acquisition terminal further includes voice module, which is used to carry out with relatives family members
Voice communication.
Further, the central server includes information receiving module, data analysis module, info push module sum number
According to library module, the data of information receiving module reception group network termination transmission are simultaneously stored to database module, data analysis module point
The posture information of the data that analysis arrangement group network termination is sent, combining environmental information and human body excludes special circumstances and obtains final people
Body posture information generates warning information and passes through information or the side of phone through info push module if meeting early-warning conditions
On the communicating terminal of formula notice binding, the voice of communicating terminal and information acquisition terminal that info push module is also used to bind
Module carries out voice communication.
Further, the central server further includes warning data model module, and data analysis module is to database mould
Warning data model module is carried out after all data information finishing analysis in block it is perfect, and can be remotely to information acquisition terminal
Data model module be updated.
Compared with prior art, the invention has the following beneficial effects:
1, it using ZigBee technology, realizes the data transmission between information acquisition terminal, solves networking problems and traditional technology relies on
The problem of wifi, does not need manually to carry out networking connection, even if can also realize that the data between information acquisition terminal pass without network
It is defeated；
2, using Internet of Things and broadband network, two ways is communicated, and solves the problems, such as the connection with central server；
3, it is combined using Studies of Human Body Heat infrared sensor with image capture module, using human body thermal infrared sensor combined data mould
Type generate human body attitude information, using image-context information analysis combined data model come the case where excluding special scenes (such as: sleeping
Feel, lying posture), erroneous judgement is reduced, is not influenced by light intensity, behavioral data will not be brought in the variation of the light at daytime or night
Error, accuracy rate are high；It not needing old man and puts on wearable device, installation is simple, and it is more convenient, it avoids and is acquired using image/video
The problem of equipment bring privacy violation.
Detailed description of the invention
Fig. 1 is one embodiment stream compression figure of system provided by the invention；
Fig. 2 is information acquisition module structure chart in the embodiment of Fig. 1 offer；
Fig. 3 is the central server structure chart that Fig. 1 is provided.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
As shown in Figure 1 to Figure 3, the falling over of human body automatic early-warning system based on Internet of Things that the invention discloses a kind of, including
Multiple information acquisition terminals 1, group network termination 2 and central server 3,
The information acquisition terminal 1, for acquiring Studies of Human Body Heat infrared information and environmental information, analysis Studies of Human Body Heat infrared information is obtained
Human body attitude information, and the built-in ZigBee-network module 17 mutually passed for data and for carrying out net to the central server
The communication module 16 of network communication；
Described group of network termination 2, the information for acquiring multiple information acquisition terminals 1 are concentrated, when occur acquiring
When data reach threshold value of warning, all data of acquisition are sent to the central server 3 by described group of network termination 2, and described group
Network termination 2 is one in multiple information acquisition terminals 1, uses ZigBee technology by the ZigBee-network module 17
Self-organization network communication characteristic independently selects the information acquisition terminal 1 as described group of network termination 2；
The central server 3, for receiving the data of described group of network termination 2 transmission and carrying out finishing analysis, if met pre-
Warning information, then be pushed on the communicating terminal 4 of binding by alert condition.
As shown in Fig. 2, specifically, the information acquisition terminal 1 include microprocessor 11 and respectively with the microprocessor
The human body thermal infrared sensor 12 of 11 connections, data model module 14, ZigBee-network module 17, leads to image capture module 13
Module 16 is interrogated, human body thermal infrared sensor 12 is red by the analysis Studies of Human Body Heat of microprocessor 11 for collecting Studies of Human Body Heat infrared information
The imaging of external information judges the posture information of human body with the model in data model module 14, and image capture module 13 is for adopting
Collect environmental information locating for the information acquisition terminal；ZigBee-network module 17 is for selection group network termination 2 and by other information
The data that acquisition terminal 1 acquires are transmitted to this group of network termination 2, and communication module 16 is used for all numbers for acquiring this group of network termination 2
According to being sent to central server 3.The communication module 16 include can free switching Internet of Things card communication unit and WiFi communication
The priority of unit, the WiFi communication unit is higher than the Internet of Things card communication unit, and realize does not have the case where network again
Under can also be communicated with central server 3.
Preferably, the information acquisition terminal 1 further includes voice module 15, the voice module 15 be used for relatives family members into
Row voice communication.After being connected to warning information convenient for relatives, situation can be confirmed by voice module 15.
As shown in figure 3, the central server 3 includes information receiving module 31, data analysis module in the present embodiment
32, info push module 33 and database module 34,31 reception group network termination 2 of information receiving module send data and store to
The posture letter of database 34, the data that 32 analysis and arrangement group network termination 2 of data analysis module is sent, combining environmental information and human body
Breath excludes special circumstances and obtains final human body attitude information, if meeting early-warning conditions, generates warning information and through information
Pushing module 33 notifies on the communicating terminal 4 of binding that info push module 33 is also used to tie up by way of information or phone
The voice module 15 of fixed communicating terminal 4 and information acquisition terminal 1 carries out voice communication.The central server 3 includes early warning
Data model module, data analysis module to after data information finishing analysis all in database module to warning data model
Module carries out perfect, and can remotely be updated to the data model module of information acquisition terminal.Warning data model is by adopting
The mode that collection sample is trained and clusters is established, and is selected 1000 people to fall down, sleeping position, lying posture, sitting posture, is walked the behaviors such as appearance
Demonstration, use information acquisition terminal 1 collects data, then the data preparation of collection is analyzed, and show that situation is to fall down, is assorted
Situation is prone position or lying posture, what situation are normally, that is, to establish warning data model.
Specifically, first by carrying out simulated experiment acquisition data and establishing human body attitude database and environment data base,
Human body attitude database creation process includes obtaining human body infrared information, denoising, edge blurry processing, feature extraction, obtaining people
Body attitude data library, environment data base are established by image capture module acquisition ambient image information, denoising, edge blurry
Reason, obtains environment data base at feature extraction.Studies of Human Body Heat infrared information is analyzed by microprocessor 11 in information acquisition terminal 1
Imaging judges the detailed process of the posture information of human body with the model in data model module 14 are as follows: obtains human body thermal infrared letter
Breath, denoising, edge blurry processing, feature extraction and human body attitude database carry out fuzzy matching, obtain whether reach early warning threshold
Value.Judge whether in central server 3 process for meeting early-warning conditions in addition to the deterministic process of above-mentioned Studies of Human Body Heat infrared information,
On the basis of this, the deterministic process of combining environmental image information is specifically included: obtaining ambient image information, denoising, at edge blurry
Reason, feature extraction carry out fuzzy matching with environment data base, finally obtain the conclusion for whether meeting early-warning conditions.
When it is implemented, the key place (kitchen, bedroom, bathroom, parlor) in house disposes information acquisition terminal 1,
Independently the information is selected to adopt using the self-organization network communication characteristic of ZigBee technology by ZigBee-network module 17
Collect terminal 1 and is used as described group of network termination 2；By analyze Studies of Human Body Heat infrared information imaging and data model module in model come
The posture information for judging human body, when reaching threshold value of warning, group network termination can be sent out data by Internet of Things network interface card or broadband network
It send to central server, central server is to received data (including ring locating for Studies of Human Body Heat infrared information and information acquisition terminal
Border information) finishing analysis is carried out, if meeting early warning, warning information is pushed to by the logical of binding by info push module 33
It interrogates in terminal 4, can be the phone, plate or PC machine of relatives, relatives can be by information acquisition terminal 1 after receiving warning information
Interior voice module 15 confirms situation.
ZigBee is the low-power consumption LAN protocol based on IEEE802.15.4 standard.It is provided according to international standard,
ZigBee technology is the wireless communication technique of a kind of short distance, low-power consumption.Its main feature is that short distance, low complex degree, self-organizing, low
Power consumption, low data rate.
Internet of Things network interface card is the 4G/3G/2G card provided by operator (China Mobile, China Unicom, China Telecom).Hardware
It is similar with appearance to common SIM cards.Load is directed to the specialized function of Intelligent hardware and internet of things equipment, using dedicated number section
With meet Intelligent hardware and Internet of Things industry to the regulatory requirement of equipment networking.It is standby to low-power consumption/length, deep to meet user
The business need of the low rates such as covering, large capacity.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to of the invention
Protection scope.
Claims (5)
1. a kind of falling over of human body automatic early-warning system based on Internet of Things, it is characterised in that: including multiple information acquisition terminals, group
Network termination and central server,
The information acquisition terminal, for acquiring Studies of Human Body Heat infrared information and environmental information, analysis Studies of Human Body Heat infrared information is obtained
Human body attitude information, and the built-in ZigBee-network module mutually passed for data and for carrying out network to the central server
The communication module of communication；
Described group of network termination, for concentrating the information of multiple information acquisition terminals acquisitions, when there is the number acquired
When according to reaching threshold value of warning, all data of acquisition are sent to the central server by described group of network termination, and the networking is whole
End is one in multiple information acquisition terminals, and the self-organization network of ZigBee technology is used by the ZigBee-network module
Communication characteristic independently selects the information acquisition terminal as described group of network termination；
The central server, for receiving the data of described group of network termination transmission and carrying out finishing analysis, if meeting early warning
Warning information is then pushed on the communicating terminal of binding by condition.
2. the falling over of human body automatic early-warning system according to claim 1 based on Internet of Things, it is characterised in that: the information
Acquisition terminal include microprocessor and the human body thermal infrared sensor being connect respectively with the microprocessor, image capture module,
Data model module, ZigBee-network module, communication module, human body thermal infrared sensor are used to collect Studies of Human Body Heat infrared information,
The posture letter of human body is judged by the model in the imaging and data model module of microprocessor analysis Studies of Human Body Heat infrared information
Breath, image capture module is for acquiring environmental information locating for the information acquisition terminal；ZigBee-network module is for selecting group
The data that other information acquisition terminal acquires simultaneously are transmitted to this group of network termination by network termination, and communication module is used for this group of network termination
All data of acquisition are sent to central server.
3. the falling over of human body automatic early-warning system according to claim 2 based on Internet of Things, it is characterised in that: the communication
Module include can free switching Internet of Things card communication unit and WiFi communication unit, the priority of the WiFi communication unit is high
In the Internet of Things card communication unit.
4. the falling over of human body automatic early-warning system according to claim 3 based on Internet of Things, it is characterised in that: the information
Acquisition terminal further includes voice module, which is used to carry out voice communication with relatives family members.
5. the falling over of human body automatic early-warning system according to claim 4 based on Internet of Things, it is characterised in that: the center
Server includes information receiving module, data analysis module, info push module and database module, and information receiving module receives
The data of group network termination transmission simultaneously store the data sent to database module, data analysis module analysis and arrangement group network termination,
The posture information of combining environmental information and human body excludes special circumstances and obtains final human body attitude information, if meeting early warning item
Part then generates warning information and is notified by way of information or phone on the communicating terminal bound through info push module, letter
The voice module of communicating terminal and information acquisition terminal that breath pushing module is also used to bind carries out voice communication.
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| CN111080967A (en) * | 2019-12-20 | 2020-04-28 | 西安工业大学 | Household old man falling behavior identification and alarm system based on thermal infrared image information |
| CN111104932A (en) * | 2020-02-03 | 2020-05-05 | 北京都是科技有限公司 | Tumble detection system and method and image processor |
| CN111131507A (en) * | 2019-12-31 | 2020-05-08 | 秒针信息技术有限公司 | Cluster type audio processing method and system |
| CN111311877A (en) * | 2020-02-20 | 2020-06-19 | 吉林农业大学 | Fall detection and positioning method and device based on attitude angle |
| CN113329056A (en) * | 2021-04-30 | 2021-08-31 | 河海大学 | Method, device and system for binding Internet of things device and user terminal |
| CN114267153A (en) * | 2021-12-29 | 2022-04-01 | 苏州英鹏信息科技有限公司 | Home safety monitoring management system |
| US11605281B2 (en) | 2020-02-17 | 2023-03-14 | Koninklijke Philips N.V. | System to secure health safety during charging of health wearable |
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