CN105266816B - Intelligent life radar detection method based on heartbeat characteristic matching - Google Patents
Intelligent life radar detection method based on heartbeat characteristic matching Download PDFInfo
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Abstract
The invention discloses the intelligent life radar detection method based on heartbeat characteristic matching, including following steps：Firing order is sent, launches electromagnetic wave；Receive the echo-signal reflected by life entity；Echo-signal is handled to obtain detection signal；Detection signal is pre-processed to obtain life signal, life signal includes heartbeat signal；The bearing data and range data of life entity are calculated according to life signal；Intellectual analysis and identification are carried out according to heartbeat signal, obtain life entity characteristic；Orientation, range data and the characteristic of life entity are sent to client terminal, user is shown to by client terminal.The method can automatically analyze the characteristic information of tested life entity, effectively to detection life entity classification, more intuitively show the personal characteristics and state of life entity after shelter, so as to the Fast Classification for realization rescue target, preferentially rescue critical or special objective and provide reference frame, valuable time has been won in work to sue and labour.
Description
Technical field
The invention belongs to life detection field, and in particular to a kind of intelligent life radar detection based on heartbeat characteristic matching
Method.
Technical background
China is the country that a natural calamity takes place frequently, and disaster can all cause huge loss to lives and properties every time,
Especially in modern society, because population concentration, urban architecture density are high, once the number of casualties caused by geological disaster occurs
Amount will be catastrophic.For example, huge life and property damage are resulted in 8.0 grades of earthquakes that Wenchuan County in Sichuan in 2008 occurs
Lose.Drawn from the summary of each secondary geological disaster, find to be buried personnel within the shorter time, they are more possible to be rescued
It is living.Therefore, in order to reduce the injures and deaths of personnel, the detecting devices that energy effective detection goes out life-information is just particularly important.
Radar life detection method is a new technology of RECENT DEVELOPMENTS, be mainly used in ruins find survivor and
The field such as positional information of personnel in room is obtained outside the room at anti-terrorism scene.Traditional detection method is typically using infrared
The technologies such as line, radio, sound wave.Wherein, the life detection radar of radio is a kind of most desirable method, and it is by electromagnetism
The characteristic that wave energy penetrates blocking medium carrys out detecting objects body, has concentrated the advanced achievements of hyundai electronicses science and technology, has passed through hair
Penetrate electromagnetic wave irradiation target and receive its echo, thus find target and determine the system of its position, the direction of motion and speed etc. one
Row characteristic, compared with infrared and Acoustic sounding, it has the advantages that not by environment temperature, hot object and sound interference, tool
There is wider application prospect.
Current life detection radar method is confirmed whether to have simply by the difference of Determination echo and transmitted wave
Moving target (such as heartbeat, breathing etc.), but be not distinguish between for the feature of detected object, for example measurand is
No sign decays (due to the reason such as injured or in poor health), and whether measurand is child, old man or other needs
Preferential rescue or the crowd of specific identification.
The content of the invention
In order to solve the above problems, the present invention provides the intelligent life radar detection method based on heartbeat characteristic matching.Profit
With a life signal intellectual analysis and recognition methods, with reference to special population heartbeat signal feature, the intelligence of life detection is realized
Energyization, the present invention can effectively carry out detection target classification, and accurate target determines.
To reach above-mentioned purpose, the technical solution adopted by the present invention is：Intelligent life radar based on heartbeat characteristic matching
Detection method, including following steps：(1) first, electromagnetic wave is launched from transmitter module to life entity.
(2) secondly, the echo-signal reflected by life entity is received by receiving module, echo-signal is sampled integration,
Reception signal is formed, produce oscillator signal by impulse hunting produces range gate by delay, and reception signal is carried out by range gate
Selection, then the signal after selection is integrated, small-signal, faint letter are detected after the accumulation by thousands of individual pulses
Number be detection signal；
(3) again, detection signal is pre-processed by pretreatment module to obtain life signal, the life signal includes the heart
Jump signal.
(4) then, the bearing data of life entity is calculated and apart from number according to life signal by azimuth-range detecting module
According to.
(5) next, carrying out intellectual analysis and identification according to heartbeat signal by intellectual analysis and identification module, body spy is obtained
Levy data.
(6) finally, orientation, range data and the characteristic of life entity are sent to client terminal, is shown by client terminal
To user.
Wherein, the intellectual analysis to life signal and identification are completed by listener clustering method and variation prediction method；
The listener clustering method, is classified crowd by the feature of heartbeat signal；The variation prediction method, by analyzing the heart
Jump the sign state of the variation prediction life entity of signal.
The transmitter module, receiving module are connected with the pretreatment module, the pretreatment module with orientation and
Distance measurement module is connected with intellectual analysis with identification module, the azimuth-range detecting module and intellectual analysis and identification mould
Block is connected with the client terminal；Wherein, transmitter module, to launch electromagnetic wave to life entity；Receiving module, to receive
The echo-signal reflected by life entity, and echo-signal is handled to obtain detection signal；Pretreatment module, to detection signal
Pre-processed to obtain life signal；Azimuth-range detecting module, to calculate the azimuth-range of life entity；Intellectual analysis
And identification module, to carry out intellectual analysis and identification to heartbeat signal, so as to obtain life entity characteristic；Client terminal,
Probe instructions are sent to user and orientation, range data and the characteristic of life entity, above-mentioned transmitting mould are shown to client
Block, receiving module, pretreatment module, azimuth-range detecting module, intellectual analysis and identification module and client terminal structure together
Into an intelligent life radar-probing system based on heartbeat characteristic matching.
It is further that in step (1), pulse signal is produced by impulse hunting, electromagnetism arteries and veins is triggered using pulse signal
Punching produces burst pulse electromagnetic wave, and is radiated and sent out by transmitting antenna.
It is further in step (3), detection signal to be amplified and filtered, obtains life signal, will can detects
Small-signal carry out sharpening.
It is further in step (4), according to space resection's principle, life entity orientation to be calculated, to realize life
Body is accurately positioned.
Be further, in step (4), according to transmitting electromagnetic wave and echo-signal time interval, calculate life entity away from
From to realize accurate distance of the life entity away from detecting location.
It is further that the listener clustering method is beats and heartbeat amplitude in heartbeat signal, is distinguished
The life entity of different age group and different sexes, and the characteristic of life entity is transferred in the crowd characteristic storehouse pre-established,
The life entity detected can substantially be divided, be referred in different crowd by this method.
It is further to establish the heartbeat record data that individual database pre-saves each life entity, from personal data
Heartbeat record data is transferred in storehouse, life entity characteristic and heartbeat record data are subjected to characteristic matching, so that it is determined that life
The identity information of body, detected life entity can accurately be matched by the method, identify the identity of life entity.
Be further, the variation prediction method be within continuous time analyze heartbeat signal peak value whether weaken or
Whether enhancing or HR Heart Rate change, and so as to predict that life entity is to be in critical diseased state or sign plateau, lead to
The vital sign of detected life entity can be obtained by crossing this method, facilitated rescuer to enter row major according to vital sign and sued and laboured,
Raising is sued and laboured efficiency.
Using the beneficial effect of the technical program：The present invention is the intelligent life radar detection side based on heartbeat characteristic matching
Method, improve the accuracy of the specific distance and bearing of detection life entity；Also by using life signal intellectual analysis and identification
Method, with reference to special population heartbeat signal feature, the intellectuality of life detection is realized, automatically analyze the feature letter of tested life
Breath, effectively detection life entity is classified, precisely determines life entity, more intuitively show of life entity after shelter
People's feature and state, so as to which to realize the Fast Classification of rescue target, reference is provided preferentially to rescue critical or special objective
Foundation, efficiency of suing and labouring is improved, valuable time has been won in work to sue and labour.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is that signal launches flow chart in the embodiment of the present invention；
Fig. 3 is that signal receives flow chart in the embodiment of the present invention；
Fig. 4 is positioning principle block diagram in the embodiment of the present invention；
Fig. 5 is intellectual analysis and the flow chart of identification in the present invention；
Fig. 6 be the method for the invention by life radar-probing system structure diagram.
Embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made below in conjunction with the accompanying drawings into one
Step illustrates.
Referring to shown in Fig. 1 and Fig. 6, the intelligent life radar detection method based on heartbeat characteristic matching, including it is following
Step：(1) first, electromagnetic wave is launched from transmitter module to life entity.
As shown in Fig. 2 producing pulse signal by impulse hunting, burst pulse is produced using pulse signal triggering electromagnetic pulse
Electromagnetic wave, and radiated and sent out by transmitting antenna.
(2) secondly, the echo-signal reflected by life entity is received by receiving module, and echo-signal is handled to obtain
Detection signal.
As shown in figure 3, echo-signal is sampled into integration, reception signal is formed；Oscillator signal is produced by impulse hunting
Range gate is produced by delay, reception signal is selected by range gate；Signal after selection is integrated, process is thousands of
Small-signal is detected after the accumulation of individual pulses up to ten thousand, small-signal is detection signal.
(3) again, detection signal is pre-processed by pretreatment module to obtain life signal, the life signal includes the heart
Jump signal.
Detection signal is amplified and filtered, obtains life signal, the small-signal detected can be subjected to sharpening.
(4) then, the bearing data of life entity is calculated and apart from number according to life signal by azimuth-range detecting module
According to.
According to space resection's principle, life entity orientation is calculated, to realize being accurately positioned for life entity.
(4.1) calculating of bearing data：As shown in figure 4, drawn respectively in three position (A, B, C) transmission signals, measurement
Distance R1, R2, R3 of life entity and coordinate xi, yi, the zi for recording three positions respectively, so as to obtain three Spatial Spheres, three
The intersection point of Spatial Sphere is exactly the position coordinates of life entity.
Three-point fix calculation formula is as follows:
Equation group obtains what solution was to determine in the ideal case, i.e. three spheres meet at target point, but due to the presence of error,
Three spheres often do not meet at target point strictly, but are centered around one song surrounded by four spheres of formation around target point
Face, can approximation regard tetrahedron as, choose in tetrahedron which point to represent target point be pinpoint matter of utmost importance, preferably
The centre of sphere of sphere tetrahedron inscribed sphere represents target point, if the sphere tetrahedron inscribe radius of a ball is ε, three distance R are corrected with ε1、
R2、R3For R1-ε、R2-ε、R3- ε, it is as follows to rewrite three-point fix equation group:
The point coordinates of life entity can be tried to achieve according to amended equation group.
(4.2) calculating of range data：According to transmitting electromagnetic wave and echo-signal time interval, calculate life entity away from
From to realize accurate distance of the life entity away from detecting location.
It should be noted that it is used as the preferred formula for the distance for calculating life entity using following formula：
R=v (t- Δs t)/2
In formula：Time interval between t- transmission signals and detection signal, Δ t- system delays, v- electromagnetic waves are uniformly being situated between
Spread speed in matter, R are the distance of life entity.
(5) next, carrying out intellectual analysis and identification according to heartbeat signal by intellectual analysis and identification module, life is obtained
Body characteristicses data.
As shown in figure 5, wherein, the intelligence point to life signal is completed by listener clustering method and variation prediction method
Analysis and identification；The listener clustering method, is classified crowd by the feature of heartbeat signal；The variation prediction method,
By the sign state for the variation prediction life entity for analyzing heartbeat signal.
Wherein, the listener clustering method is according to beats in heartbeat signal and heartbeat amplitude, distinguishes all ages and classes
The life entity of section and different sexes, and the characteristic of life entity is transferred in the crowd characteristic storehouse pre-established, pass through the party
Method can substantially be divided to the life entity detected, be referred in different crowd.
Life entity can be divided into according to different age group by children, adult and old man, can also be according to different sexes by life
Body is divided into masculinity and femininity.
The crowd of different age brackets, its beats, heartbeat amplitude are all different, if normal adult is quiet, clear
Heart rate range is 60-100 beats/min in the case of waking up, and the elderly is partially slow, and women is slightly fast, and children are very fast,<The children of 3 years old exist more
More than 100 beats/min.Certainly, disease and abnormal sign can influence the heartbeat of people, such as adult's heart rate more than 100 beats/min, baby
Child's heart rate is referred to as tachycardia more than 150 beats/min, and heart rate is referred to as bradycardia less than 60 beats/min.Meanwhile everyone
Heartbeat have its respective characteristic, and there is identifiability, based on this principle, the signal that we measure radar, respectively
Listener clustering is carried out, for example heart rate continuously measures more than 100 times, it is most likely that be children.
The heartbeat record data that individual database pre-saves each life entity is established, heartbeat is transferred from individual database
Record data, life entity characteristic and heartbeat record data are subjected to characteristic matching, so that it is determined that the identity information of life entity,
Detected life entity can accurately be matched by the method, identify the identity of life entity.
The variation prediction method is whether the peak value that heartbeat signal is analyzed within continuous time weakens or strengthen or the heart
Whether hop rate rate changes, and so as to predict that life entity is to be in critical diseased state or sign plateau, passes through this method energy
The vital sign of detected life entity is accessed, facilitates rescuer to enter row major according to vital sign and sues and labours, improves effect of suing and labouring
Rate.
(6) finally, orientation, range data and the characteristic of life entity are sent to client terminal, is shown by client terminal
To user.
As shown in fig. 6, the transmitter module, receiving module are connected with the pretreatment module, the pretreatment module
It is connected with azimuth-range detecting module and intellectual analysis and identification module, the azimuth-range detecting module and intelligence point
Analysis and identification module are connected with the client terminal；Wherein, transmitter module, to launch electromagnetic wave to life entity；Receive mould
Block, to receive the echo-signal reflected by life entity, and echo-signal is handled to obtain detection signal；Pre-process mould
Block, detection signal is pre-processed to obtain life signal；Azimuth-range detecting module, to calculate the orientation of life entity and
Distance；Intellectual analysis and identification module, to carry out intellectual analysis and identification to heartbeat signal, so as to obtain life entity characteristic
According to；Client terminal, send probe instructions to user and orientation, range data and the characteristic of life entity are shown to client
According to above-mentioned transmitter module, receiving module, pretreatment module, azimuth-range detecting module, intellectual analysis and identification module and visitor
Family terminal together form an intelligent life radar-probing system based on heartbeat characteristic matching.
The general principle and principal character and advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the simply explanation described in above-described embodiment and specification is originally
The principle of invention, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of this reality invention by appended claims and
Its equivalent thereof.
Claims (7)
1. the intelligent life radar detection method based on heartbeat characteristic matching, it is characterised in that including following steps：
（1）First, electromagnetic wave is launched from transmitter module to life entity；
（2）Secondly, the echo-signal reflected by life entity is received by receiving module, echo-signal is sampled integration, formed
Reception signal, oscillator signal is produced by impulse hunting and produces range gate by delay, reception signal is selected by range gate,
The signal after selection is integrated again, detects small-signal after the accumulation by thousands of individual pulses, small-signal is
For detection signal；
（3）Again, detection signal is pre-processed by pretreatment module to obtain life signal, the life signal is believed including heartbeat
Number；
（4）Then, the bearing data and range data of life entity are calculated according to life signal by azimuth-range detecting module；
（5）Next, carrying out intellectual analysis and identification according to heartbeat signal by intellectual analysis and identification module, life entity spy is obtained
Levy data；
（6）Finally, orientation, range data and the characteristic of life entity are sent to client terminal, use is shown to by client terminal
Family；
Wherein, the intellectual analysis to life signal and identification are completed by listener clustering method and variation prediction method；It is described
Listener clustering method, crowd is classified by the feature of heartbeat signal；The variation prediction method, believed by analyzing heartbeat
Number variation prediction life entity sign state；
The transmitter module, receiving module are connected with the pretreatment module, and the pretreatment module is and azimuth-range
Detecting module is connected with intellectual analysis with identification module, and the azimuth-range detecting module and intellectual analysis and identification module are equal
It is connected with the client terminal.
2. the intelligent life radar detection method according to claim 1 based on heartbeat characteristic matching, it is characterised in that step
Suddenly（1）In, pulse signal is produced by impulse hunting, burst pulse electromagnetic wave is produced using pulse signal triggering electromagnetic pulse, and
Radiated and sent out by transmitting antenna.
3. the intelligent life radar detection method according to claim 1 based on heartbeat characteristic matching, it is characterised in that step
Suddenly（3）In, detection signal is amplified and filtered, obtains life signal.
4. the intelligent life radar detection method according to claim 1 based on heartbeat characteristic matching, it is characterised in that step
Suddenly（4）In, according to space resection's principle, calculate life entity orientation.
5. the intelligent life radar detection method according to claim 4 based on heartbeat characteristic matching, its
It is characterised by, step（4）In, according to transmitting electromagnetic wave and the time interval of echo-signal, calculate life entity distance.
6. the intelligent life radar detection method according to claim 1 based on heartbeat characteristic matching, it is characterised in that institute
It is beats and heartbeat amplitude in heartbeat signal to state listener clustering method, distinguishes different age group and different sexes
Life entity, and transfer in the crowd characteristic storehouse pre-established the characteristic of life entity.
7. the intelligent life radar detection method according to claim 6 based on heartbeat characteristic matching, it is characterised in that build
Vertical individual database pre-saves the heartbeat record data of each life entity, and heartbeat record data is transferred from individual database,
Life entity characteristic and heartbeat record data are subjected to characteristic matching, so that it is determined that the identity information of life entity.
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| CN108091099A (en) * | 2016-11-22 | 2018-05-29 | 比亚迪股份有限公司 | Alarm method, device and automobile based on interior physical sign monitoring system |
| CN108742564B (en) * | 2018-07-03 | 2019-03-26 | 梁汐萌 | Life parameters monitoring method and device |
| CN110475153A (en) * | 2019-08-23 | 2019-11-19 | 四川长虹电器股份有限公司 | Program commending method based on radar identification |
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| CN102499653A (en) * | 2011-10-27 | 2012-06-20 | 中国人民解放军第四军医大学 | Signal processing system for small-scale radar life detecting instrument |
| CN103027670A (en) * | 2012-12-13 | 2013-04-10 | 中国人民解放军第四军医大学 | Micropower impact-type biological radar front end |
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| CN104257389A (en) * | 2014-10-22 | 2015-01-07 | 哈尔滨华夏矿安科技有限公司 | Heart rate identifying equipment and underground coal mine blasting staff identifying method based on the equipment |
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| US9442189B2 (en) * | 2010-10-27 | 2016-09-13 | The Fourth Military Medical University | Multichannel UWB-based radar life detector and positioning method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102499653A (en) * | 2011-10-27 | 2012-06-20 | 中国人民解放军第四军医大学 | Signal processing system for small-scale radar life detecting instrument |
| CN103027670A (en) * | 2012-12-13 | 2013-04-10 | 中国人民解放军第四军医大学 | Micropower impact-type biological radar front end |
| CN103116159A (en) * | 2013-01-18 | 2013-05-22 | 湖南华诺星空电子技术有限公司 | Multi-mode self-positioning networking radar life detection method and device |
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