CN106851548A - Wearable walking monitoring system and its monitoring method based on wireless body area network - Google Patents
Wearable walking monitoring system and its monitoring method based on wireless body area network Download PDFInfo
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- CN106851548A CN106851548A CN201710208137.XA CN201710208137A CN106851548A CN 106851548 A CN106851548 A CN 106851548A CN 201710208137 A CN201710208137 A CN 201710208137A CN 106851548 A CN106851548 A CN 106851548A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Abstract
The invention discloses wearable walking monitoring system and its monitoring method based on wireless body area network, the wireless start-type sensor being made up of multiple sensor acquisition nodes and an aggregation node using multisensor body area network collector, by sensor acquisition node periodically collection human body, each moves the exercise data of key position, and to being wirelessly transmitted to aggregation node after sensing data compression treatment；Aggregation node realizes integration, synchronous each acquisition node compressed data, and is sent to distal movement data analysis center by wireless network；After exercise data analysis center is to exercise data optimal reconfiguration, the exercise data of the accurate each sensor acquisition node for obtaining synchronous acquisition, for subsequent data analysis and assessment.The present invention blends body area network multi-sensor data collection, compression, synchronous reconstruct, data processing time slot is combined with many sensing exercise data compressed sensing algorithms, multi-sensor collection data asynchronous problem of each sensor acquisition node caused by clock crystal oscillator difference and timesharing send is solved.
Description
Technical field
The present invention relates to mobile communication and tele-medicine field, more particularly to the wearable walking based on wireless body area network
Monitoring system and its monitoring method.
Background technology
Currently, effectively prevention Falls in Old People has turned into the focal issue of whole society's growing interest.Accurate measurements the elderly
Walking function change improves the elderly's daily life quality significant for EARLY STAGE EVALUATION Falls in Old People risk.
Recent domestic correlative study Main Basiss human motion structure feature, attempts based on mobile Internet, wirelessly
The advanced technologies such as communication, embedded system, miniature MEMS sensor, seek with networking, wearable, low-power consumption, low cost
Remote human body Ambulatory Activity monitoring system.It is using remote human body Ambulatory Activity monitoring system is built based on wearable body area network
The main trend of research and development at present, wearable body area network is in actual applications when multi-sensor data synchronous acquisition and low power dissipation design
Urgent need to solve the problem.
However, current major part researchs and solves scheme relatively lays particular emphasis on the design of multi-sensor collection node architecture, attempt
Using low-power consumption functional chip, acquisition node power consumption is reduced, failed sensor acquisition node hardware design and from data transfer
During find effectively reduce low-power consumption agreement join together very well.For example, Chinese publication number
ZL201420515039.2 discloses a kind of portable motion parameter obtaining device towards cellphone subscriber, is only considered as low work(
The wireless sending module of special single-chip microcomputer is consumed to reduce acquisition node power consumption.And in terms of multi-sensor collection data syn-chronization, grind
Study carefully main by building star-like wireless human body sensing network, build what a kind of master control system and multiple acquisition subsystems cooperated
Architecture, many sensing acquisition data syn-chronizations are realized by by many acquisition nodes of master control system Synchronization Control.For example, China is open
Patent No. CN103079289A discloses a kind of wireless many people's motion data collection elements and acquisition method, and when proposing that one kind is based on
The gap relations of distribution set up the radio sensing network Time synchronization algorithm of whole sensing data acquisition system, however, the method
System synchronization promoter is data gathering node, in fact, each sensor acquisition node timing system has independence, it is difficult to shape
Into unified system clock, suffer from this, multi-sensor collection node is difficult to synchronization transmission data.In general,
Research at present is only found from many sensing datas collection aspect and solves above-mentioned key issue method, fails from system overall architecture synthesis
Consider to find effective technical solution.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided the wearable walking prison based on wireless body area network
Examining system and its monitoring method, put forth effort to solve multi-sensor data collection, low-power consumption, synchronous transfer from system multilayer time framework
Etc. key issue, acquisition more conforms to the exercise data of human motion " power transmission chain ", is that house the elderly's Ambulatory Activity is remotely supervised
Survey, the reliable technology platform of offer is provided.
The technical solution adopted by the present invention is：
Wearable walking monitoring system based on wireless body area network, it includes multisensor body area network collector and is located at
The exercise data analysis center of distal end；Multisensor body area network collector is provided with the first wireless communication module, multisensor body
Domain net collector is used to obtain the dynamofluidal exercise data of human motion and passes through the first wireless communication module by exercise data
Send to exercise data analysis center, exercise data analysis center is used for long-range monitoring and differentiates assessment human body gait motion shape
Condition.
Further, multisensor body area network collector includes more than two sensor acquisition nodes and a convergence section
Point, more than two sensor acquisition nodes are respectively arranged on the key position of human motion, and sensor acquisition node is used to gather
Each moves the exercise data of key position and sends to aggregation node exercise data human body, and the first wireless communication module is integrated
In in aggregation node, aggregation node is coordinated each sensor acquisition node synchronous acquisition of control and is led to after exercise data is integrated
The first wireless communication module is crossed to send to exercise data analysis center.
Further, the sensor acquisition node includes kinematic parameter sensing acquisition module, acquisition node power management
Module, calculate and control module and first node wireless communication module, calculate and control module using bus form respectively with fortune
Dynamic parameter sensing acquisition module and first node wireless communication module diconnected, acquisition node power management module are used to sense
The power supply management of device acquisition node.
Further, the aggregation node include based on high-performance ARM microprocessor embedded type control module and with
Memory module, display module, aggregation node power management module, the Section Point radio communication mold of embedded type control module connection
Block, the first wireless communication module and expanding communication interface module, Section Point wireless communication module and first node radio communication
Module complements one another, and Section Point wireless communication module receives the exercise data of sensor acquisition node collection；Memory module is deposited
Store up the exercise data for receiving；Embedded type control module coordinates each sensor acquisition node synchronous acquisition of control；Expansion interface
Module is used for external warning function module and localization function module；Display module shows the motion number that aggregation node is received in real time
According to；Embedded type control module sends exercise data to exercise data analysis center, aggregation node by the first wireless communication module
Power management module is used for the power supply management of aggregation node.
Further, to be Zigbee wireless for the first node wireless communication module and Section Point wireless communication module
Communication module.
Further, first wireless communication module is WIFI wireless communication modules.
Further, exercise data analysis center includes access server, database server and WEB server, accesses
Server is connected with the first wireless communication module and receives exercise data, access server respectively with database server and WEB
Server diconnected, database server and WEB server diconnected, database server are used for the storage of exercise data
And the reading service of exercise data is provided, be equipped with WEB server management application software for man-machine interaction and data at
Reason.
Further, the multisensor body area network collector is based on the dynamofluidal feature of human motion and builds, two with
On the sensor acquisition node and aggregation node constitute star-like wireless sensor network, sensor acquisition node will be transported
Sent to aggregation node after dynamic data compression process.
The invention also discloses the wearable walking monitoring method based on wireless body area network, employ described based on wireless
The wearable walking monitoring system of body area network, monitoring method is comprised the following steps：
(1) multi-sensor collection node and aggregation node are constituted into star-like wireless sensor network；
(2) multi-sensor collection node periodically collection exercise data, and exercise data compression is processed；
(3) multi-sensor collection node is according to the exercise data after collection period encapsulation compression, and enters Low-power-consumptiodormancy dormancy
State waiting timer is waken up；
(4) multi-sensor collection node is according to collection period timing wake-up, and sends the exercise data after compression to remittance
Poly- node；
(5) aggregation node receives the exercise data after compression, and is transmitted to exercise data by the first wireless communication module
Analysis center；
(6) DTDs, repeat step 2-5 realizes that motion-sensing data are periodically gathered.
Further, the step (1) specifically includes following steps：
(1-1) aggregation node and multi-sensor collection node initializing；
The broadcast of (1-2) aggregation node builds the networking commands of wireless sensor network, and waits multi-sensor collection node
Network；
(1-3) multi-sensor collection node monitor channel, and the net of wireless sensor network is accessed to aggregation node application
Network address；
(1-4) aggregation node distributes the network address；
(1-5) multi-sensor collection section confirms aggregation node response message, successfully networks and then enters step (1-6), failure
Then return to step (1-3), applies networking again；
(1-6) completes wireless sensor networking, waits data transfer.
The present invention uses above technical scheme, proposes one by wearable body area network, internet, Remote Data Analysis center
The three-tier system framework of system composition, each level subsystem soft and hardware Cooperative Optimization is that many sensing exercise datas are synchronously adopted
Collection, transmission, long-range acquisition provide support, with low cost, low-power consumption feature.The present invention set one realize data compression can
Wearing sensor acquisition node.Sensor acquisition node is by MPU6050 sensors (integrated tri-axial acceleration meter and three axis accelerometer
Instrument) and CC2530 wireless communication modules composition, compression sensing method compressed transmission data is realized using acquisition node processor, it is bright
It is aobvious to reduce transmitted data amount and sensing node power consumption.Acquisition node pcb board is based on impedance and optimizes antenna balun match circuit, has
Small volume, low in energy consumption and easy donning feature.Present invention further proposes the wearable walking monitoring based on wireless body area network
Method, data processing time slot is combined with many sensing exercise data compressed sensing algorithms, and data compression is carried out in collection terminal, and
Multi-sensor collection data syn-chronization is realized based on time slot Multi-Sensor Data Fusion algorithm；Reconstructed in exercise data analysis center and compressed
Data, obtain the multisensor synchronous acquisition exercise data based on same time slot, and acquisition more conforms to human motion " power transmission chain "
Gait data, for human body gait motion evaluation provides reliable data foundation.
Brief description of the drawings
The present invention is described in further details below in conjunction with the drawings and specific embodiments；
Fig. 1 is the Organization Chart of the wearable walking monitoring system based on wireless body area network of the invention；
Fig. 2 is the Organization Chart of sensor of the invention acquisition node；
Fig. 3 is the hardware circuit design figure of sensor of the invention acquisition node；
Fig. 4 is the MPU6050 and peripheral circuit schematic diagram of sensor of the invention acquisition node；
Fig. 5 is the CC2530 and peripheral circuit schematic diagram of sensor of the invention acquisition node；
Fig. 6 is the power circuit principle figure of sensor of the invention acquisition node；
Fig. 7 is aggregation node system Organization Chart of the invention；
Fig. 8 is the S3C2440 pin catenation principle figures of aggregation node of the invention；
Fig. 9 is the SD interface schematic diagram of aggregation node of the invention；
Figure 10 is the wireless network card interface schematic diagram of aggregation node of the invention；
Figure 11 is the power circuit principle figure of aggregation node of the invention；
Figure 12 is the hardware circuit design figure of aggregation node of the invention；
Figure 13 is the program flow diagram of aggregation node of the invention；
Figure 14 is the exercise data analysis center design drawing of aggregation node of the invention；
Figure 15 is the program flow diagram of exercise data analysis center of the invention；
Figure 16 is the compressed sensing algorithm frame flow chart of the exercise data of sensor of the invention acquisition node；
Figure 17 is the exercise data transfer process figure of exercise data analysis center of the invention.
Specific embodiment
As shown in one of Fig. 1-17, the invention discloses the wearable walking monitoring system based on wireless body area network, its
Including multisensor body area network collector and the exercise data analysis center positioned at distal end；Set on multisensor body area network collector
There is the first wireless communication module, multisensor body area network collector is used to obtain the dynamofluidal exercise data of human motion and lead to
Cross the first wireless communication module to send to exercise data analysis center exercise data, exercise data analysis center is used for long-range prison
Survey and differentiate assessment human body gait motion situation.
Further, multisensor body area network collector includes more than two sensor acquisition nodes and a convergence section
Point, more than two sensor acquisition nodes are respectively arranged on the key position of human motion, and sensor acquisition node is used to gather
Each moves the exercise data of key position and sends to aggregation node exercise data human body, and the first wireless communication module is integrated
In in aggregation node, aggregation node is coordinated each sensor acquisition node synchronous acquisition of control and is led to after exercise data is integrated
The first wireless communication module is crossed to send to exercise data analysis center.
Further, the sensor acquisition node includes kinematic parameter sensing acquisition module, acquisition node power management
Module, calculate and control module and first node wireless communication module, calculate and control module using bus form respectively with fortune
Dynamic parameter sensing acquisition module and first node wireless communication module diconnected, acquisition node power management module are used to sense
The power supply management of device acquisition node.
Further, the aggregation node include based on high-performance ARM microprocessor embedded type control module and with
Memory module, display module, aggregation node power management module, the Section Point radio communication mold of embedded type control module connection
Block, the first wireless communication module and expanding communication interface module, Section Point wireless communication module and first node radio communication
Module complements one another, and Section Point wireless communication module receives the exercise data of sensor acquisition node collection；Memory module is deposited
Store up the exercise data for receiving；Embedded type control module coordinates each sensor acquisition node synchronous acquisition of control；Expansion interface
Module is used for external warning function module and localization function module；Display module shows the motion number that aggregation node is received in real time
According to；Embedded type control module sends exercise data to exercise data analysis center, aggregation node by the first wireless communication module
Power management module is used for the power supply management of aggregation node.
Further, to be Zigbee wireless for the first node wireless communication module and Section Point wireless communication module
Communication module.
Further, first wireless communication module is WIFI wireless communication modules.
Further, exercise data analysis center includes access server, database server and WEB server, accesses
Server is connected with the first wireless communication module and receives exercise data, access server respectively with database server and WEB
Server diconnected, database server and WEB server diconnected, database server are used for the storage of exercise data
And the reading service of exercise data is provided, be equipped with WEB server management application software for man-machine interaction and data at
Reason.
Further, the multisensor body area network collector is based on the dynamofluidal feature of human motion and builds, two with
On the sensor acquisition node and aggregation node constitute star-like wireless sensor network, sensor acquisition node will be transported
Sent to aggregation node after dynamic data compression process.
The invention also discloses the wearable walking monitoring method based on wireless body area network, employ described based on wireless
The wearable walking monitoring system of body area network, monitoring method is comprised the following steps：
(1) multi-sensor collection node and aggregation node are constituted into star-like wireless sensor network；
(2) multi-sensor collection node periodically collection exercise data, and exercise data compression is processed；
(3) multi-sensor collection node is according to the exercise data after collection period encapsulation compression, and enters Low-power-consumptiodormancy dormancy
State waiting timer is waken up；
(4) multi-sensor collection node is according to collection period timing wake-up, and sends the exercise data after compression to remittance
Poly- node；
(5) aggregation node receives the exercise data after compression, and is transmitted to exercise data by the first wireless communication module
Analysis center；
(6) DTDs, repeat step 2-5 realizes that motion-sensing data are periodically gathered.
Further, the step (1) specifically includes following steps：
(1-1) aggregation node and multi-sensor collection node initializing；
The broadcast of (1-2) aggregation node builds the networking commands of wireless sensor network, and waits multi-sensor collection node
Network；
(1-3) multi-sensor collection node monitor channel, and the net of wireless sensor network is accessed to aggregation node application
Network address；
(1-4) aggregation node distributes the network address；
(1-5) multi-sensor collection section confirms aggregation node response message, successfully networks and then enters step (1-6), failure
Then return to step (1-3), applies networking again；
(1-6) completes wireless sensor networking, waits data transfer.
Just specific operation principle of the invention is described in detail below：
As shown in figure 1, the designed system architecture of the present invention is by multisensor body area network motion data collection element, first wireless
Communication module (WIFI radio communications) and the part composition of exercise data analysis center three.Its course of work：(1) build and meet human body
The multisensor body area network collector of " power transmission chain " feature of moving；(2) based on the first wireless communication module (WIFI radio communications),
Internet, gathered data is transmitted to exercise data analysis center, for long-range monitoring, differentiates human motion situation.It is wherein many
Sensor body area network collector framework is made up of the sensor acquisition nodes and aggregation node of multiple collection exercise datas
Star-like wireless sensor network, realizes accurate obtaining human motion " power transmission chain " exercise data and by its Wireless transceiver to the first nothing
Line communication module (WIFI radio communications).
Detailed process is：Aggregation node effectively controls the co-ordination of each sensor acquisition node, by being worn on use
Sensor acquisition node Real-time Collection human body movement data with family, and will be passed after the compressed perception data compression of gathered data
Transport to aggregation node；Many sensing exercise data synchronized algorithms that aggregation node is based on same time slot realize multi-sensor collection data
It is synchronous, and many sensings compression exercise data of synchronous acquisition is sent in Community Act data analysis by WIFI wireless networks
The heart；Exercise data analysis center mainly includes access server, Web server and database server, can be by internet
Many sensing exercise datas that wireless receiving is sended over by aggregation node, each sensing node synchronization is recovered using optimal reconfiguration algorithm
Gathered data, is efficient remote monitoring for further data analysis, diagnosis and behavior pattern recognition, differentiates the elderly's fortune
Dynamic state provides data supporting.
The present invention is explained from system hardware and software design and the realization of acquisition method separately below.
First, the system architecture design of the wearable walking monitoring system based on wireless body area network
1. sensor acquisition node architecture design
Set flowmeter sensor acquisition node of the invention mainly realizes that human body movement data is gathered, and its Wireless transceiver is extremely converged
Poly- node, its system architecture is designed as shown in Fig. 2 sensor acquisition node is by kinematic parameter sensing acquisition module, power management
Module, calculates and control module and first node wireless communication module composition.Specifically, first node wireless communication module is
Zigbee communication module.Control module using bus form respectively with kinematic parameter sensing acquisition module, first node channel radio
Letter module realizes diconnected, and concrete implementation scheme is：Embedding assembly and control module are arranged at " sleep ", " wake-up "
Two kinds of working conditions, during " wake-up " state, control motion parameter collecting module collection human body movement data transfers data to meter
After calculation and control module are through data compression process, sent by first node wireless communication module (Zigbee communication module) timesharing
To aggregation node.
Be illustrated in figure 3 the ware circuit of sensor acquisition node, sensor acquisition node include MPU6050,
CC2530, SMA antenna, power circuit and clock crystal oscillator composition, each part use I2C bus diconnecteds.
Wherein, the power supply of sensor acquisition node uses 3.6V button cells, and power circuit principle figure is as shown in Figure 6.
The MPU6050 chips of Fei Si karrs company's integrated tri-axial acceleration sensor and three-axis gyroscope are used as kinematic parameter
Sensing acquisition module is used, as shown in figure 4, its accuracy of data acquisition is 0.01, sample frequency is for the schematic diagram of MPU6050
40Hz, improves data reliability；
CC2530 chips are used as first node wireless communication module, and CC2530 schematic diagrams are as shown in Figure 5.MPU6050 chips
Serial communication is used with CC2530 chips.The present invention uses the low-consumption wireless transmitting chip CC2530 of integrated special single-chip microcomputer,
Based on compressed sensing compression algorithm data, maximum current only 30mA during data is activation improves acquisition node cruise-ability.CC2530 cores
The power consumption when output of piece power consumption is gathered much larger than MPU6050, due to the work(produced during wireless transmission in CC2530 runnings
Consumption accounts for the 80% even more many of circuit system total power consumption.Wireless transmission circuit performance will be directly connected to acquisition terminal power consumption
Energy.We improve the balun impedance matching circuit of antenna according to actual pcb board impedance to optimize circuit in works, reduce work(
Consumption.
Further, balun circuit, i.e. balanced-to-unblanced transformer Balun, using impedance matching electricity in radio circuit
Road causes load impedance and source impedance conjugate impedance match, can obtain maximum power transfer, reduces the useless power consumption on feedback line,
The energy-saving of circuit is improved, when chip operation is in 2.4GHz frequencies, when impedance magnitude is 50 Ω, antenna can be made to send effective power
Maximum is reached, this requires RF radiofrequency signals through the output impedance after Balun circuits also as far as possible close to 50 Ω.Inductance in balun circuit
Electric capacity can be calculated by formula：
Wherein, ω=2 π f,L=Zc/ω。RI,RLIt is input and output impedance, f is working frequency.
Because PCB making sheet is restricted to line-spacing, line width, balun circuit cabling be difficult to allow successively when being laid out impedance reach or
As far as possible close to 50 Ω, after the completion of pcb board design, due to being made in printed circuit board in after circuit copper, the difference, electricity such as dielectric constant
Roadlock is anti-to have nothing in common with each other, and the value of capacitor and inductor is also not quite similar in balun impedance matching circuit, and the impedance according to side circuit sets
Meter balun circuit is beneficial to improve high frequency anti-interference.Resistance capacitance value on actual pcb board need to be adjusted by software, be passed through
The EDA simulation softwares Tina of DesignSoftKft companies exploitation is emulated, under Tina-TI environment, with the simulation RF of software
Radio frequency software, two interfaces of RF of CC2530 are simulated with radio-frequency module MS1, MS2 of software, and MS3 artificial antenna output ports are right
Circuit carries out network analysis, according to simulation result, line width, line length ginseng is set in the design rule of Altium Designer9
Number, the lead moved out from chip RF_P, RF_N pin is required for experiment parameter during in strict accordance with emulation not limited, synthetic weights
Weighing apparatus PCB other rules design the acquisition terminal circuit with lower power consumption.
2. aggregation node framework is introduced
Aggregation node of the invention realizes following function：(1) effective coordination controls each sensor acquisition node；(2) realize
Each sensor acquisition node synchronous acquisition, integral data；(3) integral data is sent to exercise data by WIFI network
Analysis center.The system architecture of aggregation node is as shown in fig. 7, aggregation node is by based on the embedded of high-performance ARM microprocessor
Control module, memory module, display module, power management module, Section Point wireless communication module (can be Zigbee communication
Module), the first wireless communication module (can be WIFI communication modules) and expanding communication interface module composition.Section Point without
Line communication module (can be Zigbee communication module) receives the exercise data of collection；The collection number that memory module storage is received
According to；Embedded type control module coordinates each sensor acquisition node gathered data of control, realizes synchronous acquisition；Expansion interface mould
Block realizes the functions such as alarm, positioning；Display module shows the data wave that aggregation node is received in real time；First wireless communication module
(can be WIFI communication modules) be responsible for that data transfer to exercise data analysis center will be received.
As a kind of embodiment, the present invention can aggregation node use multifunctional portable handheld device, its hardware circuit has
Imitate integrated Zigbee receiving circuits, CC2530, S3C2440 (pin catenation principle figure is as shown in Figure 8), crystal oscillating circuit, power supply electricity
Road (power circuit principle figure is as shown in Figure 10), LCD touch screens, SD card interface (SD interface schematic diagram is as shown in Figure 9), Flash
With memory chip, wireless interface module and WIFI transtation mission circuits (wireless network card schematic diagram is as indicated at 11), as shown in figure 12.
S3C2440 chips transplant the quick processing data of (SuSE) Linux OS as central processing unit；CC2530 chips receive collection number
According to CC2530 chips are connected with S3C2440 chips using hard serial ports at a high speed, and speeding up data transmission speed strengthens data processing reality
Shi Xing；SD card interface completes data backup and static storage；Using the LCD display circuit for supporting touch-screen, improve friendly man-machine
Interactive interface；Wireless interface module uses RT3070 chips, and data are sent to remote data processing server by WIFI；Electricity
Source uses 3.7V/1000mAH chargeable lithium cells.The above-mentioned working procedure flow of aggregation node is as shown in figure 13.
3. exercise data analysis center is introduced
Exercise data analysis center of the invention can effective integration multisensor compression exercise data, and based on compressed sensing
Synchronously reconstruct recovers compressed data to restructing algorithm.Exercise data analysis center framework as shown in figure 14, is patrolled by system interface, business
Collect the preposition part of access service five composition of layer, data interaction layer, database, system.PC operating system is to the specific communication of bottom
It is abstract that mode carries out shielding, and provide unified interface and be called for application program, is easy to program development.Based on SOCKET nets
Network is programmed, and it is wireless human body Sensor Network collector client service that distal end gait data obtains system as service end, using length
The mode of connection, reliable communications safety.The three-tier architecture of software, i.e. boundary layer, logical layer, data are used using layer managing system
Layer.For ease of software later maintenance and development, the data access form to data Layer bottom has carried out abstract package, using various
Database or file management data, but externally universal data access interface, intend using C/C++, Qt programming technique, QWT icons
Development technique is realized data processing, analysis, is integrated, and accurately obtains human body movement data.
2nd, the multisensor exercise data synchronous collection method based on star-like radio sensing network
The present invention uses a kind of star-like nothing being made up of sensor acquisition node, aggregation node and exercise data analysis center
Line sensing network, realizes the wearable walking monitoring method based on wireless body area network.The method organically blends compressed sensing number
According to compression algorithm, many sensing acquisition data syn-chronization algorithms based on same time slot and many sensing acquisition data based on same time slot
Synchronized algorithm, can rapidly, continuously, real-time synchronization and many sensing exercise datas of low-power consumption collection, implementation step is as follows：
(1) multi-sensor collection node and aggregation node are constituted into star-like wireless sensor network；Further, the step
Suddenly (1) specifically includes following steps：
(1-1) aggregation node and multi-sensor collection node initializing；
The broadcast of (1-2) aggregation node builds the networking commands of wireless sensor network, and waits multi-sensor collection node
Network；
(1-3) multi-sensor collection node monitor channel, and the net of wireless sensor network is accessed to aggregation node application
Network address；
(1-4) aggregation node distributes the network address；
(1-5) multi-sensor collection section confirms aggregation node response message, successfully networks and then enters step (1-6), failure
Then return to step (1-3), applies networking again；
(1-6) completes wireless sensor networking, waits data transfer.
(2) multi-sensor collection node periodically collection exercise data, and exercise data compression is processed；
Sensor acquisition node gathers 3 axle accelerations and 3 axle gyroscopes etc. and human motion dependency number according to sample frequency
According to before transmission data, using the compressive sensing theory linear compressed data of accidental projection matrix, reduction sensor acquisition node work(
Consumption, as shown in figure 15, that is, the sparse representation model for gathering motor message is algorithm frame
Wherein x ∈ RNIt is data vector, Ψ ∈ RN×NIt is sparse basis array, s ∈ RNIt is sparse coefficient vector.The present invention is adopted
With sparse binary measurement matrix Φ linear projections, compressed data y=Φ x=Φ Ψ s=Θ s wherein, y ∈ RM(M≤N), passes
Sense matrix Θ ∈ RM×N.Selected calculation matrix Φ meets constraint isometry (Restricted isometric property, RIP)
Condition.
(3) multi-sensor collection node is according to the exercise data after collection period encapsulation compression, and enters Low-power-consumptiodormancy dormancy
State waiting timer is waken up；
During sensor acquisition node " wake-up " pattern, data buffer zone is temporarily stored into after gathered data compression is processed, be based on
Circuital current power consumption, defines sensor acquisition node transmitting data frame, and carry out data successively to transmitting data frame and be encapsulated as
Zigbee API datas frame, Zigbee transmitting data frames.The packaged rear sensing node of data frame will into Low-power-consumptiodormancy dormancy state,
Waiting timer is waken up to carry out data transmission again.
(4) multi-sensor collection node is according to collection period timing wake-up, and sends the exercise data after compression to remittance
Poly- node；
When sensor acquisition node wakes up, the data frame that will be encapsulated is by Zigbee protocol built-in CSMA/CA mechanism point
When transfer data to aggregation node.
Low-power consumption body area network exercise data wireless transmission protocol flow based on Zigbee is as shown in figure 16.It is wirelessly transferred
By body area network, sensing data compression algorithm, timeslot-based data reconstruction synchronized algorithm effective integration, optimization is gathered and converged process
The low-power consumption of collection node, the collection of many sensing datas are synchronous.Its technology implementation process is as follows：When each sensor acquisition node is " wake-up "
During pattern, gathered data, and treatment is compressed it based on compression sensing method, and buffer is temporarily stored into, it is then based on circuital current
Power consumption, defines sensor acquisition node transmitting data frame, and the API data frame envelope for passing through Zigbee (built-in CSMA/CA agreements)
Transmission frame loaded on Zigbee, exercise data is sent to by Zigbee protocol timing transmission to aggregation node, then through internet
Analysis center.Exercise data analysis center will receive packet after corresponding parsing, deblocking, reconstruct, each sensor acquisition node
Data deposit in corresponding buffering area, and by timeslot-based data syn-chronization algorithm, are stored in respective stored space, are used for
Subsequent data analysis, assessment.
(5) aggregation node receives the exercise data after compression, and is transmitted to exercise data by the first wireless communication module
Analysis center；
Aggregation node timesharing receives the packet that each sensing node sends, and is honored as a queen through corresponding parsing, solution, and each sensor is adopted
Collection node data deposits in corresponding data buffering area successively, and by many sensing data synchronized algorithms based on same time slot, will
Synchronous each sensing compressed data is sent to exercise data analysis center through WIFI.Wherein it is based on many sensing acquisitions of same time slot
Data syn-chronization algorithm:Based on the same time slot of system, describe each sensor acquisition node and sent with aggregation node timesharing, receive data
The sensing data that different time-gap is received is integrated in memory space by situation, aggregation node, then sends number by memory space unification
According to realizing multi-sensor collection data syn-chronization.Above-mentioned carried algorithm implementation process is as follows：
(1) any two sensor acquisition node based on same time slot sends packet in different time-gap, collects node
The sensor acquisition node data package size, i.e. n=int (t are calculated based on different time-gapreceive/T0), wherein, treceiveWith
T0Respectively sensor acquisition node data receiver moment and sampling time.
(2) based on above-mentioned calculating gained sensor acquisition node data package size, it is empty that aggregation node is integrated in storage
Between, different sensors acquisition node data then are read by same time slot, exercise data analysis center is sent to, by same time slot
Mark reconstruct data, realize multi-sensor collection data syn-chronization.
Compressed data is recovered using compressed sensing restructing algorithm by exercise data analysis center, and the present invention is calculated using BSBL-BO
Method reconstruct recovers many sensing exercise datas, makes full use of correlation in the data block of solution vector, improves non-openness data reconstruction
Performance, multi-sensor collection joint movements data syn-chronization is both recovered and be stored in respective stored space, so as to follow-up data point
Analysis and assessment.
(6) DTDs, repeat step 2-5 realizes that motion-sensing data are periodically gathered.
3rd, the exercise data analysis center involved in the present invention course of work is as follows：
(1) sensor acquisition node is transplanted by Z-Stack protocol stacks, will connect the simulation string of CC2530 and MPU6050
Mouth program and data processor implantation protocol stack, a frame data are defined as starting byte, node label byte, terminate word
Section, realizes that aggregation node accurately identifies sensor acquisition node data, effectively control sensor acquisition node sending power consumption.
(2) aggregation node will be implanted into CC2530 modules with sensor acquisition node identical Z-Stack protocol stacks, wirelessly connect
Receive data.Linux drive program is transplanted into S3C2440 chips, function of application is realized.Linux involved in the present invention drives
Program：Wireless network card driving, serial port drive, SD card driving, LCD displays driving, touch screen driving, Flash drive.Application program is adopted
C++GUI-Qt4 language, program circuit are used as shown in fig. 6, having preferably portable, expansion.
(3) exercise data analysis center is based on Software for Design, realizes monitoring WIFI network, and acquisition receives request, system
Receive the data of aggregation node transmission, and to each sensor acquisition node data fusion.Software for Design uses C++ programming languages,
Its working procedure flow is as shown in figure 17.
The present invention uses above technical scheme, proposes one by wearable body area network, internet, Remote Data Analysis center
The three-tier system framework of system composition, each level subsystem soft and hardware Cooperative Optimization is that many sensing exercise datas are synchronously adopted
Collection, transmission, long-range acquisition provide support, with low cost, low-power consumption feature.The present invention set one realize data compression can
Wearing sensor acquisition node.Sensor acquisition node is by MPU6050 sensors (integrated tri-axial acceleration meter and three axis accelerometer
Instrument) and CC2530 wireless communication modules composition, compression sensing method compressed transmission data is realized using acquisition node processor, it is bright
It is aobvious to reduce transmitted data amount and sensing node power consumption.Acquisition node pcb board is based on impedance and optimizes antenna balun match circuit, has
Small volume, low in energy consumption and easy donning feature.Present invention further proposes the wearable walking monitoring based on wireless body area network
Method, data processing time slot is combined with many sensing exercise data compressed sensing algorithms, and data compression is carried out in collection terminal, and
Multi-sensor collection data syn-chronization is realized based on time slot Multi-Sensor Data Fusion algorithm；Reconstructed in exercise data analysis center and compressed
Data, obtain the multisensor synchronous acquisition exercise data based on same time slot, and acquisition more conforms to human motion " power transmission chain "
Gait data, for human body gait motion evaluation provides reliable data foundation.
Examples detailed above is used for illustrating the present invention, rather than limiting the invention, in spirit of the invention and power
In the protection domain that profit is required, any modifications and changes made to the present invention fall within protection scope of the present invention.
Claims (10)
1. the wearable low-power consumption walking remote supervision system of wireless body area network is based on, it is characterised in that：It includes many sensings
Device body area network collector and the exercise data analysis center positioned at distal end；It is wireless that multisensor body area network collector is provided with first
Communication module, multisensor body area network collector is used to obtain the dynamofluidal exercise data of human motion and passes through first wireless
Communication module sends to exercise data analysis center exercise data, and exercise data analysis center is used for long-range monitoring and discriminating is commented
Estimate body gait moving situation.
2. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 1
It is：Multisensor body area network collector includes more than two sensor acquisition nodes and an aggregation node, two or more
Sensor acquisition node be respectively arranged on the key position of human motion, sensor acquisition node is used to gathering human body each motion
The exercise data of key position is simultaneously sent to aggregation node exercise data, and the first wireless communication module is integrated in aggregation node
Interior, aggregation node coordinates each sensor acquisition node synchronous acquisition of control and wireless by first after exercise data is integrated
Communication module is sent to exercise data analysis center.
3. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 2
It is：The sensor acquisition node includes kinematic parameter sensing acquisition module, acquisition node power management module, calculates and controls
Molding block and first node wireless communication module, calculate and control module using bus form respectively with kinematic parameter sensing acquisition
Module and first node wireless communication module diconnected, acquisition node power management module are used for the confession of sensor acquisition node
Fulgurite is managed.
4. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 2
It is：The aggregation node include based on high-performance ARM microprocessor embedded type control module and with embedded Control mould
It is the memory module of block connection, display module, aggregation node power management module, Section Point wireless communication module, first wireless
Communication module and expanding communication interface module, Section Point wireless communication module and first node wireless communication module phase interworking
Set, Section Point wireless communication module receives the exercise data of sensor acquisition node collection；The fortune that memory module storage is received
Dynamic data；Embedded type control module coordinates each sensor acquisition node synchronous acquisition of control；Expansion connection module is used for outer
Functional module taking alarm and localization function module；Display module shows the exercise data that aggregation node is received in real time；Embedded control
Molding block sends exercise data to exercise data analysis center, aggregation node power management module by the first wireless communication module
For the power supply management of aggregation node.
5. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 4
It is：The first node wireless communication module and Section Point wireless communication module are Zigbee wireless communication modules.
6. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 1
It is：First wireless communication module is WIFI wireless communication modules.
7. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 1
It is：Exercise data analysis center includes access server, database server and WEB server, access server and first
Wireless communication module is connected and receives exercise data, access server respectively with database server and the two-way company of WEB server
Logical, database server and WEB server diconnected, database server are used for the storage of exercise data and provide motion number
According to reading service, management application software is equipped with WEB server for man-machine interaction and data processing.
8. the wearable low-power consumption walking remote supervision system of wireless body area network, its feature are based on according to claim 1
It is：The multisensor body area network collector is based on the dynamofluidal feature of human motion and builds, more than two sensings
Device acquisition node and an aggregation node constitute star-like wireless sensor network, and sensor acquisition node is by exercise data compression
Sent after reason to aggregation node.
9. based on wireless body area network wearable walking monitoring method, employ one of claim 1-8 it is described based on nothing
The wearable walking monitoring system of line body area network, it is comprised the following steps：
（1）Multi-sensor collection node and aggregation node are constituted into star-like wireless sensor network；
（2）Multi-sensor collection node periodically collection exercise data, and exercise data compression is processed；
（3）Multi-sensor collection node enters Low-power-consumptiodormancy dormancy state according to the exercise data after collection period encapsulation compression
Waiting timer is waken up；
（4）Multi-sensor collection node sends the exercise data after compression to convergence section according to collection period timing wake-up
Point；
（5）Aggregation node receives the exercise data after compression, and is transmitted to exercise data analysis by the first wireless communication module
Center；
（6）DTD, repeat step 2-5 realizes that motion-sensing data are periodically gathered.
10. the wearable walking monitoring method based on wireless body area network according to claim 9, it is characterised in that：Institute
State step（1）Specifically include following steps：
（1-1）Aggregation node and multi-sensor collection node initializing；
（1-2）Aggregation node broadcast builds the networking commands of wireless sensor network, and waits multi-sensor collection node to network；
（1-3）Multi-sensor collection node monitor channel, and the network ground of wireless sensor network is accessed to aggregation node application
Location；
（1-4）Aggregation node distributes the network address；
（1-5）Multi-sensor collection section confirms aggregation node response message, successfully networks and then enters step（1-6）, fail and then return
Return step（1-3）, application networking again；
（1-6）Wireless sensor networking is completed, data transfer is waited.
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