CN104856658A - Wearable intelligent monitoring system based on Beidou positioning and physiological status monitoring - Google Patents
Wearable intelligent monitoring system based on Beidou positioning and physiological status monitoring Download PDFInfo
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0008—Temperature signals
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
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Abstract
The invention discloses a wearable intelligent monitoring system based on Beidou positioning and physiological status monitoring, and belongs to the field of real-time physiological information monitoring. The system mainly comprises a physiological status monitoring and Beidou monitoring module, a data processing module, a wireless communication module, a physiological information network query module and an intelligent mobile phone terminal module. The physiological status monitoring and Beidou monitoring module is used for collecting physiological information and position information of a vulnerable group in real time; the data processing module is used for performing filtering and abnormality recognition on physiological status signals through a moving average filtering algorithm and an amplitude limiting algorithm; the wireless communication module is used for storing processed data in a server; the physiological information network query module is used for querying the physiological information and the position information of the vulnerable group through a network access server; the intelligent mobile phone terminal module is used for querying monitoring data through third-party application software (App) and learning about the relevant information of the vulnerable group. The system aims to monitor the physiological information and the position information of the vulnerable group in real time and has application and popularization value.
Description
Technical field
The invention discloses the wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location, relate to physiological status monitoring with the Big Dipper is located, date processing, radio communication, physiological information through network are inquired about, intelligent mobile phone terminal field, belong to real-time physiological information monitoring-information field.
Background technology
In recent years, along with disadvantaged group, the particularly colony such as child and old solitary people, the problems such as needs are given someone extra help, and society is faced with aging, and employment pressure is large, cause children loss, old man gets lost, deadly in elder person unmannedly the serious social problem such as to find, but current equipment often function singleness, cannot meet the real-time monitoring to disadvantaged group, and its shortcoming manifests day by day.
In prior art, civilian GPS location technology can realize the accurate location in certain precision, and site error is approximately about 10 meters, if run into foggy weather, trueness error will reach about 100 meters; For pulse transducer, body temperature trans, these two kinds of sensors can realize the measurement of pulse and body temperature, but these two kinds of sensors can not realize Real-Time Monitoring, but just can not use feeling in good time, do not have real-time.
In addition, sensor detects and GPS location technology is merely able to using object physiological status and positional information are measured, and can not carry out inventory analysis to measurement data, and the appearance of the Internet, solve this problem.Meanwhile, smart mobile phone, as a powerful portable set, carries out Real-Time Monitoring inquiry for the physiologic information of disadvantaged group and positional information in smart mobile phone, and also can not be applied in monitor system the software that abnormal information realizes reporting to the police.
Therefore, the monitor system combined with smart mobile phone the Internet has been not only independent a kind of product, but the scheme of real-time monitoring is carried out in a kind of solution to disadvantaged group, it is a kind of method information monitoring and abnormal information warning function combined, and then can on one's own initiative for disadvantaged group and guardian provide better service.In view of this, design a kind of can detection in real time the physiological status of weak population and positional information, process in real time and transmission are carried out to the information detected, the physiology of people to disadvantaged group and the acquiring way of positional information can be expanded, realize the real-time monitoring to disadvantaged group.
Summary of the invention
The invention discloses a kind of wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location, its objective is and realize carrying out real-time monitoring to disadvantaged group.For this reason, the present invention includes physiological status monitoring with the Big Dipper is located, date processing, radio communication, physiological information through network are inquired about, intelligent mobile phone terminal 5 modules.
Further, based on the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, the monitoring of its physiological status and Big Dipper locating module are that the physiologic information such as body temperature, pulse to disadvantaged group and positional information thereof carry out real-time detecting & monitoring, utilize and strengthen the accurate motion track that base station Big Dipper locating module obtains children under guardianship.
Further, based on the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, its data processing module adopts moving average value filtering and limit filtration algorithm to carry out filtering and anomalous identification to physiological status signal.
Wherein, the concrete steps of sliding average filtering algorithm are: 7.1: the queue that definition length is, its tail of the queue element is the relevant information data in a certain moment; 7.2: utilize sliding average Filtering Formula to carry out the filtering of physiological state information, its computing formula is:
Y (t)=[x (t)+x (t-1)+... ..+x (t-l+1)]/l formula (1)
7.3: moving average value filter recurrence formula can be adopted to calculate the physiological state information of subsequent time, and its computing formula is:
Y (t+1)=y (t)+[x (t+1)-x (t-l+1)]/l formula (2)
The concrete steps of limit filtration algorithm are: 8.1: according to the disadvantaged group's physiological state information collected, estimate the threshold value Δ r of maximum variable quantity; 8.2: the physiological state information variation delta y in former and later two moment after calculation of filtered, realize the anomalous identification of physiological status according to anomalous identification formula, its anomalous identification formula is:
Further, based on the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, its wireless communication module utilizes general packet radio service technology (GPRS module) that the data after process are transferred to server.
Further, based on the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, its intelligent mobile phone terminal module utilizes third-party application software (App) to carry out real time access to server, and the abnormality detected independently is sent PUSH message to smart mobile phone in real time.
Further, based on the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, its physiology based on browser server (B/S) pattern and positional information network inquiry module are by the data base in access services device during network implementation, know physiologic information and the positional informationes such as the body temperature of disadvantaged group, pulse, and after Wearable is lost, adopt baseline (Baseline) algorithm to carry out position prediction according to the position data based on mobile access amount, be convenient to the possible position of quick search children under guardianship.
Wherein, the concrete steps based on the baseline algorithm of mobile access amount position data are: 9.1: disadvantaged group have the N bar recorded information of M possible position; 9.2: ask for the probability P of disadvantaged group at M the location point in i moment
i, computing formula is (k
ifor certain location point information number):
P
i=k
i/ N formula (4)
9.3: according to M the location point probability P in i moment
ibe worth most, estimate the probability distribution that disadvantaged group M possible position occurs.
The implementation of Baseline algorithm is described in algorithm, by adding up the access times of each shift position, return to the shift position as prediction, shift position that in all shift positions, access times are maximum.Owing to using Baseline algorithm, the result of each prediction is all the shift position P that access times are maximum
max, prediction obviously can be caused to occur deviation, therefore when using Baseline algorithm predicts, usually predict the segmentation shift position positional information of prediction temporally can be divided into based on the time period, thus improve predictablity rate.
Prominent features of the present invention is combined sensor detection technique and Big Dipper location technology, is gathered physiology and the positional information such as body temperature, pulse of disadvantaged group by multiple sensors; Utilize wireless communication technology, by information transmission to server, adopt data base to preserve; Real-Time Monitoring is carried out to physiologic information, if note abnormalities, push function of independently reporting to the police can be realized; Utilize the BEI-DOU position system strengthening base station, realize high-precision location; Smart mobile phone APP is utilized to realize physiology and place information inquiry; Network is utilized to check physiology and positional information; This system is the wearable monitor of miniaturization, is convenient for carrying, has popularizing value.
Accompanying drawing explanation
For making object of the present invention, technical scheme and outstanding effect plays ground more clear, the invention provides the following drawings and being described:
Fig. 1 is the theory diagram of locating the wearable intelligent guarding system of monitoring with physiological status based on the Big Dipper;
Fig. 2 is the workflow diagram of locating the wearable intelligent guarding system of monitoring with physiological status based on the Big Dipper;
Fig. 3 monitors and Big Dipper locating module and data processing module block diagram based on the physiological status of the wearable intelligent guarding system that the Big Dipper is located and physiological status is monitored;
Fig. 4 is the wireless communication module principle schematic of locating the wearable intelligent guarding system of monitoring with physiological status based on the Big Dipper;
Fig. 5 is the intelligent mobile phone terminal functions of modules block diagram of locating the wearable intelligent guarding system of monitoring with physiological status based on the Big Dipper;
Detailed description of the invention:
The wearable intelligent guarding system of a kind of physiological status monitoring based on Big Dipper location of the present invention is described in detail below in conjunction with accompanying drawing:
As shown in Figure 1, based on the theory diagram of the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, detailed description of the invention is: the monitoring of its physiological status and Big Dipper locating module are that the physiologic information such as body temperature, pulse to disadvantaged group and positional information thereof carry out real-time detecting & monitoring, utilize and strengthen the accurate motion track that base station Big Dipper locating module obtains children under guardianship; Data processing module adopts moving average value filtering and limit filtration algorithm to carry out filtering and anomalous identification to physiological status signal, wherein, the concrete steps of sliding average filtering algorithm are: 7.1: the queue that definition length is, its tail of the queue element is the relevant information data in a certain moment; 7.2: utilize sliding average Filtering Formula to carry out the filtering of physiological state information, its computing formula is:
Y (t)=[x (t)+x (t-1)+... ..+x (t-l+1)]/l formula (1) 7.3: moving average value filter recurrence formula can be adopted to calculate the physiological state information of subsequent time, and its computing formula is:
Y (t+1)=y (t)+[x (t+1)-x (t-l+1)]/l formula (2)
The concrete steps of limit filtration algorithm are: 8.1: according to the disadvantaged group's physiological state information collected, estimate the threshold value Δ r of maximum variable quantity; 8.2: the physiological state information variation delta y in former and later two moment after calculation of filtered, realize the anomalous identification of physiological status according to anomalous identification formula, its anomalous identification formula is:
Wireless communication module utilizes general packet radio service technology (GPRS module) that the data after process are transferred to server, intelligent mobile phone terminal module utilizes third-party application software (App) to carry out real time access to server, and the abnormality detected independently is sent PUSH message to smart mobile phone in real time, by the data base in access services device during network implementation based on the physiology of browser server (B/S) pattern and positional information network inquiry module, know the body temperature of disadvantaged group, the physiologic informations such as pulse and positional information, and after Wearable is lost, baseline (Baseline) algorithm is adopted to carry out position prediction according to the position data based on mobile access amount, be convenient to the possible position of quick search children under guardianship, wherein, concrete steps based on the baseline algorithm of mobile access amount position data are: 9.1: disadvantaged group have the N bar recorded information of M possible position, 9.2: ask for the probability P of disadvantaged group at M the location point in i moment
i, computing formula is (k
ifor certain location point information number):
P
i=k
i/ N formula (4)
9.3: according to M the location point probability P in i moment
ibe worth most, estimate the probability distribution that disadvantaged group M possible position occurs.
Fig. 2 is the workflow diagram for the wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location; , be below described in more detail:
In the implementation of the wearable intelligent guarding system of the physiological status monitoring of locating based on the Big Dipper, the present invention includes physiological status monitoring with the Big Dipper is located, date processing, radio communication, physiological information through network are inquired about, intelligent mobile phone terminal 5 modules.
Wherein, physiological status monitoring is located with the Big Dipper and is used for Real-time Collection disadvantaged group physiology and positional information; Date processing utilizes moving average value filtering and limit filtration algorithm to carry out filtering and anomalous identification to physiological status signal; Wireless communication module be by process after data be saved to server; Physiological information through network inquiry is by network access server, checks physiology and the positional information of disadvantaged group; Intelligent mobile phone terminal module utilizes third-party application software (App) to check Monitoring Data, understands the relevant information of disadvantaged group.
The physiological status of the wearable intelligent guarding system that Fig. 3 gives as monitoring with physiological status based on Big Dipper location is monitored and Big Dipper locating module and data processing module block diagram, below makes explanation specifically:
Further, physiological status monitoring comprises body temperature trans, pulse transducer and Big Dipper locating module with Big Dipper locating module, the latitude and longitude information of the body temperature of disadvantaged group, pulse and present position is obtained by these three operative sensors, and data processing module mainly adopts single-chip microcomputer, sliding average filtering algorithm is utilized to carry out pretreatment to the signal collected, obtain effective information, utilize limit filtration algorithm to carry out abnormal judgement to data, determine whether produce exception.
Fig. 4 gives the wireless communication module principle schematic into the wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location, below makes and specifically illustrating:
Further, in the wireless communication module of the wearable intelligent guarding system of locating based on the Big Dipper, main employing general packet radio service technology (GPRS module), by mobile GPRS network for user provides transparent wireless remote data to transmit or transparent wireless remote data transfer function, idiographic flow is: GPRS terminal → mobile base station → mobile switch equipment → Serving GPRS Support Node (SGSN) → the Internet (Internet) → router → fire wall → server, data upload is in data base the most at last.
Fig. 5 gives the intelligent mobile phone terminal functions of modules block diagram of the wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location, below makes explanation specifically:
Further; for smart mobile phone; first it is considered that personal information security protection problem; need to arrange password login; only login successfully and just can enter the main interface of control centre afterwards; then select corresponding Operation system setting, check body temperature, the four large functional modules such as pulse, positional information, and, also can understand children under guardianship's history physiological status and positional information.
Further, locate the physiology based on B/S pattern and the positional information network inquiry functions of modules figure of the wearable intelligent guarding system of monitoring with physiological status based on the Big Dipper, below make explanation specifically:
Further, be totally to inquire about the data in server based on the physiology of B/S pattern and positional information network inquiry module major function, web development technologies is utilized to build browsing device net page, mainly comprise login interface, data query interface, temperature and pulse change curve in a period of time can be obtained, observe the physiological state information of children under guardianship, simultaneously, utilize Big Dipper module to obtain the longitude and latitude positional information of children under guardianship, map is drawn out its movement locus.
In addition, when considering device losses, the possible position information of Baseline algorithm to children under guardianship adopted in the position prediction algorithm research based on mobile access amount can be utilized to predict, its algorithm concrete steps are: 9.1: disadvantaged group have the N bar recorded information of M possible position; 9.2: ask for the probability P of disadvantaged group at M the location point in i moment
i, computing formula is (k
ifor certain location point information number):
P
i=k
i/ N formula (4)
9.3: according to M the location point probability P in i moment
ibe worth most, estimate the probability distribution that disadvantaged group M possible position occurs.
Describing the implementation of Baseline algorithm in algorithm, by adding up the access times of each shift position, returning to the shift position as prediction, shift position that in all shift positions, access times are maximum.Owing to using Baseline algorithm; when given position information; the result of each prediction is all the position that access times are maximum; prediction obviously can be caused to occur deviation; therefore when using Baseline algorithm predicts; usually predict the segmentation shift position positional information of prediction temporally can be divided into based on the time period, thus improve predictablity rate.
Finally it should be noted that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although be described in further detail invention has been with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (9)
1. based on the wearable intelligent guarding system that Big Dipper location is monitored with physiological status, it is characterized in that: system is monitored with the Big Dipper is located, date processing, radio communication, physiological information through network are inquired about, intelligent mobile phone terminal 5 modules forms by physiological status.
2. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 1, it is characterized in that: physiological status monitoring and Big Dipper locating module are that the physiologic information such as body temperature, pulse to disadvantaged group and positional information thereof carry out real-time detecting & monitoring, utilize and strengthen the accurate motion track that base station Big Dipper locating module obtains children under guardianship.
3. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 1, is characterized in that: data processing module adopts moving average value filtering and limit filtration algorithm to carry out filtering and anomalous identification to physiological status signal.
4. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 1, is characterized in that: wireless communication module utilizes general packet radio service technology (GPRS module) that the data after process are transferred to server.
5. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 1, it is characterized in that: intelligent mobile phone terminal module utilizes third-party application software (App) to carry out real time access to server, and the abnormality detected independently is sent PUSH message to smart mobile phone in real time.
6. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 1, it is characterized in that: be by the data base in access services device during network implementation based on the physiology of browser server (B/S) pattern and positional information network inquiry module, know physiologic information and the positional informationes such as the body temperature of disadvantaged group, pulse, and after Wearable is lost, adopt baseline (Baseline) algorithm to carry out position prediction according to the position data based on mobile access amount, be convenient to the possible position of quick search children under guardianship.
7. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 3, it is characterized in that: the concrete steps of sliding average filtering algorithm are: 7.1: definition length is the queue of l, and its tail of the queue element is the relevant information data of a certain moment t; 7.2: utilize sliding average Filtering Formula to carry out the filtering of physiological state information, its computing formula is:
Y (t)=[x (t)+x (t-1)+... ..+x (t-l+1)]/l formula (1) 7.3: moving average value filter recurrence formula can be adopted to calculate the physiological state information of subsequent time, and its computing formula is:
Y (t+1)=y (t)+[x (t+1)-x (t-l+1)]/l formula (2).
8. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 3, it is characterized in that: the concrete steps of limit filtration algorithm are: 8.1: according to the disadvantaged group's physiological state information collected, estimate the threshold value Δ r of maximum variable quantity; 8.2: the physiological state information variation delta y in former and later two moment after calculation of filtered, realize the anomalous identification of physiological status according to anomalous identification formula, its anomalous identification formula is:
formula (3).
9. wearable intelligent guarding system of monitoring with physiological status based on Big Dipper location according to claim 6, is characterized in that: the concrete steps based on the baseline algorithm of mobile access amount position data are: 9.1: disadvantaged group have the N bar recorded information of M possible position; 9.2: ask for the probability P of disadvantaged group at M the location point in i moment
i, computing formula is (k
ifor certain location point information number):
P
i=k
i/ N formula (4)
9.3: according to M the location point probability P in i moment
ibe worth most, estimate the probability distribution that disadvantaged group M possible position occurs.
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| CN105232295A (en) * | 2015-10-16 | 2016-01-13 | 北京机械设备研究所 | Intelligent guiding system for obstacle avoidance |
| CN105512478A (en) * | 2015-12-03 | 2016-04-20 | 浪潮电子信息产业股份有限公司 | Old people dangerous case alarming method based on cloud computing technology |
| CN107158685A (en) * | 2017-04-28 | 2017-09-15 | 北京小米移动软件有限公司 | Locomotion assay method and apparatus |
| CN107067697A (en) * | 2017-05-25 | 2017-08-18 | 国网上海市电力公司 | A kind of wearable physiology sensing equipment |
| CN107242913A (en) * | 2017-06-02 | 2017-10-13 | 京东方科技集团股份有限公司 | A kind of dental prosthesis system and its method of work, terminal, signal interaction system |
| CN108051014A (en) * | 2017-12-11 | 2018-05-18 | 北京骑骑智享科技发展有限公司 | The display methods and device of information |
| CN108158558A (en) * | 2017-12-26 | 2018-06-15 | 桐城市信谷网络科技有限公司 | A kind of medical monitoring systems based on network signal |
| CN108551659A (en) * | 2018-04-19 | 2018-09-18 | 中科爱思（天津）科技有限公司 | A kind of method and system for group sports real time monitoring analysis |
| CN109567770A (en) * | 2018-12-03 | 2019-04-05 | 北京唐冠天朗科技开发有限公司 | A kind of measuring of human health method and system |
| CN110208827A (en) * | 2019-05-23 | 2019-09-06 | 罗金林 | A kind of anti-missing system of pulse |
| CN110072296A (en) * | 2019-05-27 | 2019-07-30 | 湖南联智监测科技有限公司 | A kind of lora networking Beidou monitoring data Transmission system and data transmission method |
| CN110072296B (en) * | 2019-05-27 | 2024-04-19 | 湖南联智监测科技有限公司 | Lora networking Beidou monitoring data transmission system and data transmission method |
| CN110263870A (en) * | 2019-06-26 | 2019-09-20 | 深圳市悦动天下科技有限公司 | Moving state identification method, apparatus, intelligent terminal and storage medium |
| CN110263870B (en) * | 2019-06-26 | 2023-04-18 | 深圳市悦动天下科技有限公司 | Motion state identification method and device, intelligent terminal and storage medium |
| CN111671402A (en) * | 2020-07-09 | 2020-09-18 | 周伟标 | Health data and stroke positioning system |
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