CN202168107U - Vital sign monitoring system based on wireless sensor network - Google Patents

Vital sign monitoring system based on wireless sensor network Download PDF

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Publication number
CN202168107U
CN202168107U CN2011202483126U CN201120248312U CN202168107U CN 202168107 U CN202168107 U CN 202168107U CN 2011202483126 U CN2011202483126 U CN 2011202483126U CN 201120248312 U CN201120248312 U CN 201120248312U CN 202168107 U CN202168107 U CN 202168107U
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China
Prior art keywords
personnel
vital sign
monitoring system
value
system terminal
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Expired - Fee Related
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CN2011202483126U
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Chinese (zh)
Inventor
张建辉
陈彦
马胜蓝
吴良峰
黄昊宓
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FUJIAN BINGYUAN NETWORK TECHNOLOGY Co Ltd
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FUJIAN BINGYUAN NETWORK TECHNOLOGY Co Ltd
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Abstract

The utility model relates to a vital sign monitoring system based on a wireless sensor network, wherein temperature, pressure and pulse sensors are used to collect human body temperature, pulse rate, pulse signals, electrocardiosignal, and oxyhemoglobin saturation parameters, the physiology parameters and the position information of corresponding ZigBee nodes, collected by an automatically-established large scale wireless sensor network based on ZigBee PRO are transmitted to a monitoring system terminal, and the monitoring system terminal can realize data analyzing, processing, alarming, and querying, etc. The vital sign monitoring system based on wireless sensor network is simple in structure, and very high in transmission reliability, self-repairing capability and intelligent monitoring capability, and has a better practical value.

Description

Vital sign supervisory control system based on radio sensing network
Technical field
The utility model relates to a kind of vital sign supervisory control system based on radio sensing network.
Background technology
The detection technique of vital sign is the emphasis that Future Society is paid close attention to; This technology is not only applicable to medical field; Be applicable to also that the elderly nurses, children ' s activity place etc., know in the very first time that vital sign parameter is whether in the hole and can strive for valuable time for save lives.But existing supervisory control system; Only be to adopt the sensor acquisition data, then these data sent to the monitoring personnel through data wire or other transmission meanss, this method not only receives the restriction of data transmission distance; And observation process is limited at specific place, for example on the care unit.The traditional monitoring method can't realize portable application, thereby application surface is narrow, and practical value is not high.
Summary of the invention
The purpose of the utility model provides a kind of vital sign supervisory control system based on radio sensing network, is the basis with this hardware structure, can realize the monitoring and the location of human body vital sign parameter.
The utility model method adopts following scheme to realize: a kind of vital sign supervising device based on radio sensing network; It is characterized in that: comprise the sensing collecting device that is provided with the ZigBee wireless transport module; Be provided with temperature, pressure, pulse, electrocardio and photoelectricity volume trace transducer in the described sensing collecting device, the monitor system terminal that its large-scale radio sensing network and one based on ZigBee PRO through automatic establishment has data processing, storage merger UI operation is connected.
In the utility model one embodiment, described monitor system terminal also is provided with the sound and light alarm module.
In the utility model one embodiment, described monitor system terminal also is connected with the long distance monitoring terminal that can login the monitor system terminal and realize long distance monitoring through the UI operation.
In the utility model one embodiment, described ZigBee radio sensing network comprises a plurality of routing nodes and the telegon that is connected with said monitor system terminal.
The utility model adopts ZigBee PRO agreement to constitute the mesh network topological structure, and networking flexibility is changeable, has higher reliability and controllability, and monitor data can be looked into, and the ability real-time positioning, and is simple in structure, has good practical values.
Description of drawings
Fig. 1 is the configuration diagram of the utility model embodiment.
Fig. 2 is the utility model embodiment network coordinator workflow sketch map.
Fig. 3 is the utility model embodiment network router workflow sketch map.
Fig. 4 is the utility model embodiment sensing collecting device workflow sketch map.
Fig. 5 is the utility model embodiment monitor system terminal works schematic flow sheet.
Fig. 6 is the utility model embodiment flow chart of data processing sketch map.
Fig. 7 is the utility model embodiment remote client software schematic flow sheet.
Fig. 8 is the utility model embodiment UI high-level schematic functional block diagram.
Embodiment
Below in conjunction with accompanying drawing and embodiment the utility model is further specified.What be noted that here that the application requires to protect is hardware structure, and these hardware configuration characteristics are novel, on this hardware foundation, can realize the monitoring and the location of human body vital sign parameter.
As shown in Figure 1; The utility model provides a kind of vital sign supervising device based on radio sensing network; It is characterized in that: comprise the sensing collecting device that is provided with the ZigBee wireless transport module; Be provided with temperature, pressure, pulse, electrocardio and photoelectricity volume trace transducer in the described sensing collecting device, the monitor system terminal that its large-scale radio sensing network and one based on ZigBee PRO through automatic establishment has data processing, storage merger UI operation is connected.
In order to let those skilled in the art better understand the purposes and the principle of the utility model hardware structure, below our coupling system software the utility model is further specified, this software section only is used to explain, and does not require protection.
Please with reference to Fig. 1, Fig. 1 is the utility model hardware structure sketch map, and the radio sensing network of the utility model adopts ZigBee PRO agreement to constitute the mesh network topological structure, and networking flexibility is changeable, has higher reliability and controllability.Arrive destination node from source node mulitpath can be arranged.The redundancy in path has been strengthened the robustness of network; If problem has appearred in original path; Wherein one or more intermediate nodes break down such as being interfered perhaps, and ZigBee PRO can carry out network self-healing and route repair, and the path of the best of alternative keeps communication.Network is made up of a telegon, a large amount of router and terminal equipments.These three kinds of equipment adopt MCU microcontrollers to cooperate the chip (can integrated single-chip or multicore sheet Collaboration) of ZigBee protocol stack modules; Optional collocation increases the hardware designs framework of journey module, procotol conversion module; Optional through-put power and distance; Point-to-point communication distance can reach 1000 meters under the experiment condition, and therefore, the coverage of whole radio sensing network is very wide.Wherein, telegon is responsible for setting up and maintaining network, and carries out two-way communication through striding communication protocol module and monitoring terminal.Its workflow diagram is as shown in Figure 2; This telegon will be handled the valid data that each node sends on the one hand; The network address, valid data length, string ID, elements of a fix data and the physiological parameter etc. that comprise node; To handle and transmit PC on the other hand and send to the packet order of node, like terminal node search request and the configuration of router coordinate etc.Router is responsible for the search and the forwarding of data of best routed path, and assists the sensing collecting device to position.Its workflow is as shown in Figure 3, and this router is a kind of node that can dynamically set up, and is known but set up its coordinate position of back that finishes, and the packets of information that coordinate and RSSI value can be provided is to terminal equipment.This sensing collecting device is provided with ZigBee wireless transport module and temperature, pressure, pulse, electrocardio and photoelectricity volume trace transducer, is worn on one's body the children under guardianship, is responsible for the collection of physiological parameter and locating information, only possesses the data transmission and does not have forwarding capability.Arrange that network can be arranged through grid, screw arrangement perhaps reaches according to the signal coverage rate and is criterion generation router layout engineering drawing to the maximum, so that signal covers whole zone and has certain network redundancy.
The positional information of the said ZigBee node of the utility model is based on the algorithm and the non-algorithm dual mode realization location based on distance of distance, when using, can select according to the density of router node in the network of reality.Algorithm based on distance is to extrapolate the distance of terminal equipment to the route reference node through the signal strength signal intensity (RSSI) that measurement receives; Re-use the elements of a fix data that the three-point fix algorithm computation goes out terminal equipment; This method is applicable to the less situation of the density of router node in the network; Advantage is only to need the reference node of a spot of router as the location, saves the cost of monitor system, but has position error because of the value of RSSI can receive the multipath interference effect.Non-algorithm based on distance is to utilize the fixing point location; Terminal equipment at first sends the broadcast message of request coordinate; To receive the position coordinates of that route reference node of maximum RSSI value then, and exist radius with position as terminal equipment through this RSSI value computing terminal equipment.This method is used in the bigger situation of the density of router node in the network, and advantage is that positioning stablity is reliable, but the positioning mode precision is lower, if want to improve positioning accuracy, must improve the density of routing node, and this is unfavorable for controlling the cost of monitor system.
In addition, in order to reduce the power consumption of sensing collecting device, use storage battery to work long hours, this sensing collecting device adopts the mechanism of dormant and awakening.Automatically gather physiological parameter and locating information at regular intervals; Close the physiological parameter acquisition module through the control pin of MCU microcontroller chip after gathering successfully; With further reduction power consumption; Send packet then and give the monitor system terminal, and make equipment get into dormancy, wait for waking up of collection event next time.Its workflow diagram is as shown in Figure 4.
Behind the monitor system starting terminal of the utility model, on specific listening port, monitor and collect the data that radio sensing network collects.After carrying out data processing for the data that receive, sensing data is saved to database to be used to make up data warehouse; Treated data further are applied to judge whether to exist hardware signal to lose, and exceed schedule time and do not receive that signal promptly is judged as hardware signal and loses, and whether warning value exceeds warning line etc.At last, this type is synchronized in the client of process registration through the heat transfer agent of analyzing and processing, shows that to be used for visual UI operation idiographic flow is as shown in Figure 5.
Please continue with reference to Fig. 6; Fig. 6 is the utility model embodiment flow chart of data processing sketch map; Above-mentioned data processing is after initial data is gathered, and extracts required heat transfer agent, according to uncertain pattern of traffic; Upgrade herd immunity model (main B cell is being represented the average sensing numerical value of colony, the inferior colony sensing numerical value that on behalf of immunity, inferior B cell generate).Then heat transfer agent was handled confirming the warning value of this information through three steps, the first step is to judge the difference with colony's mean value through immune model, second step be directly with individual sensing threshold ratio, the 3rd step was with predicted value and sensing threshold ratio.For the sensing threshold value, then dynamically adjust according to time window, change requirement with adaptation time.
To enumerate example as follows at present: assumed group difference warning value is L 1, individual upper bound threshold value warning value L 2, individual lower bound threshold value warning value L 3, prediction upper bound threshold value warning value L 4, prediction lower bound threshold value warning value L 5On certain time point, the body temperature value that receives certain personnel (ID:C32) is 37.2, and device level is 3.1V;
1. the first step is calculated these personnel's body temperature value and main B cell in the immune model and time B cell distance, if the distance of this personnel's body temperature value and main B cell or arbitrary B cell then increases this personnel's warning value L all greater than the scope of regulation 1According to the normal device operation level is 3.3V, and the uncertain probable value that then can calculate these data is P, if this body temperature value and certain B cell are nearest, then upgrades this B cell numerical value through this probable value P and current body temperature value.
2. relatively these personnel's body temperature value and this personnel's self upper bound threshold value of second step as if greater than this threshold value, then increases this personnel's warning value L 2Secondly, relatively these personnel's body temperature value and this personnel's self lower bound threshold value as if less than this threshold value, then increase this personnel's warning value L 3
3. the 3rd step utilized the double smoothing method to calculate prediction body temperature value according to this personnel's short-term body temperature historical data, afterwards relatively should prediction body temperature value and self upper bound threshold value of this personnel, as if greater than this threshold value, then increase this personnel's warning value L 4, secondly relatively should prediction body temperature value and self lower bound threshold value of this personnel, as if less than this threshold value, then increase this personnel's warning value L 5
Utilize this body temperature value at last, upgrade these personnel's historical body temperature mean value, upgrade self bound threshold value of these personnel according to the difference between mean value and the bound.
Suppose that there are significant difference in personnel and herd immunity model in this example, but body temperature is within the bound threshold value, and prediction body temperature value is lower than the lower bound threshold value, then last warning value is L 1+ L 5
The utility model can be logined, monitor, inquire about through the long distance monitoring terminal, and is as shown in Figure 7, behind this long distance monitoring starting terminal, reads basic configuration information XML earlier, utilizes database information initialization shared drive afterwards.After the heat transfer agent that listens to the modification that server is sent to, be updated to shared drive, carry out a series of UI operations then.
Please with reference to Fig. 8, Fig. 8 the utility model embodiment UI high-level schematic functional block diagram, this UI function mainly by warning check, historical record, the location is checked and system checks that module forms.
1. the system information that is used to check current monitoring is checked in warning, comprising: warning demonstration, monitoring in real time, group's monitoring, ownness and internal memory monitoring.Warning shows: all monitored persons' of system monitoring actual time safety class information; Group's monitoring can be checked all monitoring personnel's in real time average physiologic parameter value and historical average physiologic parameter value.This information can be used for checking the personnel's of current monitoring state, and makes relatively decision-making with historical average level.Monitoring in real time is used for the personnel's that certain terminal node of real time inspection collects heat transfer agent.Can check single personnel's concrete monitor message among the ownness, comprise the personnel of these personnel's orientation, personnel's essential information, Alert Level, the average physiologic parameter value of history, predict physiologic parameter value and current point in time appearance around these personnel.
2. the azimuth information that is used to check zone and personnel is checked in the location, is used for monitor staff's discrepancy and trace.Select certain zone in the zone location, can open the map of corresponding region and be in this regional personnel sign and corresponding monitor message.Represent to be in these regional personnel with dot on the figure, and represent level of security, and list all heartbeats that are in these regional personnel and body temperature value in the left side with color; Through this function, can monitor fully certain zone.The personnel that personnel positioning need be followed the tracks of through input, this personnel region of real-time tracking.
3. historical record extracts historical information from data warehouse, is used to the personnel's that check statistical information and form, can be used for the tap/dip deep into personal information.Comprising: system's historical (group is historical), personnel's form (individual form, alarm-history, orientation history and man analysis), personnel distribute and intelligent predicting.System's history can be used for checking different personnel's average physiological parameter, physiological parameter bound.This information is time dependent, and what when opening this window, show is system's historical information of stabbing by the end of the current time.Personnel's form is made up of individual form, alarm-history, orientation history and man analysis.Personnel's form can be checked personnel's historical statistics information report, can through hour, fate and checking in month.Statistical report form can searched for and draw to input search condition in the search box of the window of correspondence.Alarm-history can be checked independent personnel's Historical Alerts information and the statistics of the alarm number of times in certain time period.Alarm statistics can according to hour, fate and the alarm statistical information of checking personnel month.Through hour checking, can find out that these personnel are higher at which period alarm rate; Check through fate, can find out that these personnel are higher at which day alarm rate of one month; Through checking in month, can find out that these personnel are higher at the alarm rate of which month.Certain personnel of orientation history display residing zone and on current point in time, also be in simultaneously this regional personnel in certain period.Man analysis is made brief analysis to personnel's historical record, makes corresponding decision-making to help management organization.This function provides simultaneously and generates multiple formatted file, makes things convenient for administrative staff to preserve.Personnel distribute and check personnel's distribution situation one day, and through this distribution map, the personnel that can find out one day distribute preference to strengthen certain regional inspecting force, fill up the inspection leak.Intelligent predicting is to adopt the time series forecasting method that the specific people's statistical information in certain time period is predicted.This system provides multiple time series forecasting method; Be Kalman filtering, double smoothing, BP neural net and IRBF neural network prediction; The user only need selection need the historical data scope in the interface; Select time corresponding sequence prediction method then, system promptly calculates the predicted value of next time point through this historical data, and historical data value and predicted numerical value demonstration are presented on the interface with the curve chart form.
4. system is checked mainly provides system some miscellaneous functions, comprises that route layout, video viewing, picture editting, Equipment Control, path generate and the area outlook function.Route is arranged the zone of route in the pictorial diagram and the coordinate of corresponding diagram is set, can generate engineering drawing and be used for the actual arrangement router.Video viewing is checked to certain camera that is connected on the server, mainly can be used for checking the problems such as hardware security of server end; And Internet video is used to open certain monitoring camera instrument on the network, can select to check to the IP Camera that has arranged, with the situation of monitoring corresponding region.The picture editting provides the image editing tools of lightweight.Can carry out that magnifying glass operation (the local amplification), rotation, inverse, other inverses, black threshold, white threshold value, brightness are adjusted, amplified/dwindle to certain pictures of opening, operations such as marginalisation, sharpening, obfuscation, vertical mirror, horizon glass picture and recovery.Equipment Control is that this system can send control command to the equipment of supporting, the action of far-end control associate device, and for example light is opened, camera turns to etc.It is the data that system can utilize route discovery in the ZigBee networking process that the path produces, and calculates two optimal paths between the node, and being commonly used to provides rescue guide for urgent rescuer.The area outlook function then is that system upgrades to the minefield route with common routing node, in case terminal equipment is arranged near the minefield route, then system will adopt modes such as acousto-optic to report to the police simultaneously at terminal node and monitoring client, be applied to high-risk production work environment usually.
The above is merely the preferred embodiment of the utility model, and all equalizations of being done according to the utility model claim change and modify, and all should belong to the covering scope of the utility model.

Claims (4)

1. vital sign supervising device based on radio sensing network; It is characterized in that: comprise the sensing collecting device that is provided with the ZigBee wireless transport module; Be provided with temperature, pressure, pulse, electrocardio and photoelectricity volume trace transducer in the described sensing collecting device, the monitor system terminal that its large-scale radio sensing network and one based on ZigBee PRO through automatic establishment has data processing, storage merger UI operation is connected.
2. the vital sign supervising device based on radio sensing network according to claim 1 is characterized in that: described monitor system terminal also is provided with the sound and light alarm module.
3. the vital sign supervising device based on radio sensing network according to claim 1 is characterized in that: described monitor system terminal also is connected with the long distance monitoring terminal that can login the monitor system terminal and realize long distance monitoring through the UI operation.
4. the vital sign supervising device based on radio sensing network according to claim 1 is characterized in that: described ZigBee radio sensing network comprises a plurality of routing nodes and the telegon that is connected with said monitor system terminal.
CN2011202483126U 2011-07-14 2011-07-14 Vital sign monitoring system based on wireless sensor network Expired - Fee Related CN202168107U (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117771460A (en) * 2024-02-27 2024-03-29 中国人民解放军东部战区总医院 Remote monitoring method and system for portable hemodialysis equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117771460A (en) * 2024-02-27 2024-03-29 中国人民解放军东部战区总医院 Remote monitoring method and system for portable hemodialysis equipment
CN117771460B (en) * 2024-02-27 2024-05-03 中国人民解放军东部战区总医院 Remote monitoring method and system for portable hemodialysis equipment

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Granted publication date: 20120314

Termination date: 20130714