CN103578242A - Private car driving monitoring and alarm system and method thereof - Google Patents

Abstract

The invention relates to a motor vehicle vehicle-mounted monitoring system, and discloses a private car driving monitoring and alarm system. The private car driving monitoring and alarm system comprises a power source, a processor and a camera. The processor is connected with the power source, the camera, a CDMA communication module and a GPS positioning module. The processor is further connected with an acceleration sensor and an inclination sensor. An embedded operation system is adopted in the processor, and an algorithmic logic module is embedded in the processor. According to the private car fatal traffic accident field video image acquisition and automatic alarm system based on the embedded operation system, when a fatal traffic accident happens to a vehicle, the system can timely and accurately send out alarm information and acquire field video information in several minutes before and after the accident, and therefore subsequence rescue and handling are greatly facilitated.

Description

Private car driving monitoring and alarm system and method thereof

Technical field

The present invention relates to a kind of carried on vehicle supervisory system, disclose a kind of private car driving monitoring and alarm system and method thereof.

Background technology

Along with the growth at full speed of China's economy, the quantity of motor vehicle also increases in violent speed, although the trip that motor vehicle is people has brought facility, incident vehicle traffic accident also increases day by day.According to incompletely statistics, in recent years, the number dead due to traffic hazard reached 7.6 ten thousand people every year on average, and the direct economic loss causing has surpassed 1,000,000,000 yuan.And in accident dispute case in recent years, have 30% to be relevant traffic hazard.Because accident pattern is various, in the situation that lacking strong evidence, the department built up for paying for the damage is difficult to determine.Only the scene of the accident is being carried out to after detailed analysis and research, just can make correct identification, thus acquisition accident that the on-the-spot firsthand information occurs is extremely important.And according to current present situation, unless had on-the-spot video information at important traffic intersection, other occasions all cannot obtain accurate data, even if be also difficult to obtain vehicle details at that time at the traffic intersection that camera is installed, this all brings very large difficulty to rescue and the follow-up reparation work of complicated traffic hazard.

In order to reduce accident rate and to be convenient to follow-up rescue and the carrying out of accident treatment work, vehicle-mounted monitoring apparatus has been installed in most countries and area in public transport.These devices are omnidistance work in the operational process of vehicle, the in the situation that of networking, any information in car all covers all at one glance, this is most suitable for public transport, but still there is inconvenience for private vehicle, these supervising devices of what is more important cannot be recognized the information status outside car, are unfavorable for very much accident responsibility delimitation and relief afterwards.

Since the seventies in last century, computing machine and microelectric technique fast development." image science " is also independent of information processing, computer theory, and television multimedia, subjects such as information interconnected network and flourish, become the brand-new subject that is intended to research " the obtaining of image information, transmission, access, conversion, understanding and comprehensive utilization ".While is due to the develop rapidly of internet, network becomes the brand-new channel of picture control and data acquisition gradually, more the good news is the quick replacement of hardware chip and being gradually improved of (SuSE) Linux OS, current embedded system has substantially been taken leave of the single-chip microcomputer epoch, and ARMization and Linuxization have been trends of the times.

Summary of the invention

The private car accident in prior art that the present invention is directed to is monitored inconvenient problem, and a kind of private car driving monitoring and alarm system and method thereof that adopts embedded OS and video capture technology is provided.

First embodiment of the invention discloses a kind of private car driving monitoring and alarm system, in order to solve private car accident, monitors inconvenient technical matters, and the present invention is solved by following technical proposals:

A driving monitoring and alarm system, comprises power supply, processor and camera, and described processor connects power supply, camera and cdma communication module and GPS locating module; Described processor is also connected with acceleration transducer and inclination sensor; Described processor adopting embedded OS also embeds algorithm logic module.

For the further improvement of technique scheme, described processor is connected to camera by camera control module, and camera control module is also connected with video drive, video acquisition and reservoir.

For the further improvement of technique scheme, described cdma communication module has the mailing address of victim family members, hospital and traffic control center.

For the further improvement of technique scheme, described power supply is connected to processor by reset control circuit.

For the further improvement of technique scheme, described reset control circuit is with status indicator lamp.

For the further improvement of technique scheme, described processor is also with USB interface, SD draw-in groove and clock source.

For the further improvement of technique scheme, described private car driving monitoring and alarm system is also with hummer.

For the further improvement of technique scheme, described camera is connected to camera control module by USB interface.

Second embodiment of the invention discloses a kind of private car driving monitoring and alarm method, in order to solve private car accident, monitors inconvenient technical matters, and the present invention is solved by following technical proposals:

A driving monitoring and alarm method, comprises the following steps:

Vehicle launch, power supply connected processor, in normally driving process, whole system is in holding state, and status indicator lamp work is good;

When the speed of a motor vehicle changes, acceleration transducer and inclination sensor are exported corresponding voltage signal;

After A/D sampling, voltage signal is judged, if be greater than initial acceleration threshold value, processor is opened camera by camera control module, records real-time pictures;

Acceleration transducer continues to gather acceleration signal, and algorithm logic controller carries out algorithm logic analysis, to determine whether to have occurred traffic hazard;

If reach final accident threshold value, system is sent warning message immediately, by cdma communication module notice traffic control center, victim family members and hospital;

Traffic control center is by GPS locating module positioned vehicle position.

When system triggers, hummer sends buzzing alarming.

Further improvement for technique scheme, denoising and decoupling disposal route to the corresponding voltage signal of acceleration transducer output are: at VS, be connected in series the electric capacity of 0.1uF with COM end, and in the feed circuit of power supply, seal in a resistance that is less than 100 Ω, to reach the effect of decoupling.

For the further improvement of technique scheme, the filtering method of acceleration transducer is: by loading direct earth capacitance at XOUT, realize the improvement to noise and sawtooth, design circuit-3db (half-power point) Bandwidth Calculation Formula is as follows:

F-3db=1／[2π(32KΩ)× ^C]

C in above-mentioned formula is direct earth capacitance value, and 32K Ω resistance is the normal resistance of sensor internal.

Further improvement for technique scheme, described algorithm logic analysis adopts following methods: when the accekeration collecting when A/D modular converter is greater than acceleration rate threshold a0, processor starts camera control module, camera starts to take the video of the scene of the accident, and in ensuing time T, every h, gather primary acceleration value, then do integration; When its integration with while being greater than threshold value touch-control threshold value M, send warning message.

Further improvement for technique scheme, adopt Newton-Cotes quadrature formula to carry out integration to the signal transmitting, first integrating range T is divided into n isometric minizone [mi, mi+1] (i=1,2 ..., n), burst length is made as h, applies trapezoidal quadrature formula on each minizone, is added the trapezoidal quadrature value of complexification that just obtains expectation; When the acceleration signal collecting is greater than a ₀time, at ensuing T, in the time, every the h time, gathering once, and in current h, this accekeration is carried out to integration, t is sheet integral time, value is 0-100ms, t ₁～t ₂interval 100ms.Finally by all integrated value summations; Computing formula is as follows:

$\begin{array}{cc}S(t,h)={\&Integral;}_t^{t+T}a\left(t\right)\mathrm{dt}& \\ ={\&Integral;}_{t_1}^{{\mathrm{<figure-callout\; id="1"\; label="t"\; filenames="HSA0000096392190000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_1+h}a\left(t\right)\mathrm{dt}+{\&Integral;}_{t_2}^{{\mathrm{<figure-callout\; id="2"\; label="t"\; filenames="HSA0000096392190000012.png,HSA0000096392190000013.png"\; state="\{\{state\}\}">t</figure-callout>}}_2+h}a\left(t\right)\mathrm{dt}+& {\&Integral;}_{t_s}^{t_s+h}a\left(t\right)\mathrm{dt}+\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+{\&Integral;}_{t_n}^{t_n+h}a\left(t\right)d\left(t\right)\end{array}$

Even if further can obtain:

$\begin{array}{c}S(t,h)\&ap;\frac{h}{2}[a\left(t1\right)+a\left(t2\right)]+\frac{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HSA0000096392190000012.png,HSA0000096392190000013.png"\; state="\{\{state\}\}">h</figure-callout>}}{2}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+\frac{h}{2}[a(\mathrm{tn}-1)+a\left(\mathrm{tn}\right)]\\ =h\left[\frac{1}{2}\right(a\left(t1\right)+\frac{1}{2}a\left(\mathrm{tn}\right)+a\left(t2\right)+a\left(t3\right)\&CenterDot;\&CenterDot;\&CenterDot;+a(\mathrm{tn}-1)].\end{array}$

For the further improvement of technique scheme, described T is that acceleration gathers T.T., and value is: 10s≤T≤60s; Described h is collection accekeration interval time, and value is: 1s≤h≤20s.

The present invention designs a kind of video image acquisition and automatic alarm system of the private car major traffic accidents scene based on embedded OS, when vehicle generation major traffic accidents, native system can promptly and accurately send warning message, and the accident that collects occur constantly before and after live video information in several minutes, for follow-up rescue and processing bring great convenience.

Accompanying drawing explanation

Fig. 1 is the system architecture schematic diagram of the embodiment of the present invention 1;

Fig. 2 is the reset circuit schematic diagram of the embodiment of the present invention 1;

Fig. 3 is the acceleration sensor circuit figure of the embodiment of the present invention 1;

Fig. 4 is the algorithm schematic diagram of the embodiment of the present invention 2;

Fig. 5 is the acceleration change curve map of the embodiment of the present invention 2;

Fig. 6 is the integrated acceleration change curve of the embodiment of the present invention 2;

Fig. 7 is the integrated acceleration change curve that the 60km/h of the embodiment of the present invention 2 has initiation threshold.

Embodiment

Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

Embodiment 1

The embodiment of the present invention 1 discloses a kind of private car driving monitoring and alarm system.

A driving monitoring and alarm system, comprises power supply, processor and camera, and described processor is connected to power supply by reset control circuit.Described reset control circuit is with status indicator lamp, and status indicator lamp can be LED lamp, is mainly the normal operating conditions for display system.

Described processor is connected to camera by camera control module, and described camera is connected to camera control module by USB interface.Camera control module is also connected with video drive, video acquisition and reservoir.

Described processor also connects cdma communication module and GPS locating module; Described cdma communication module is connected to the signal receiver of victim family members, hospital and traffic control center.

Described processor is join algorithm logic module also, and described algorithm logic module is connected with acceleration transducer and inclination sensor.Described processor adopting embedded OS.Described processor is also with USB interface, SD draw-in groove and clock source.

For major traffic accidents, except collision at a high speed, be also accompanied by sometimes upset and the inclination of vehicle, in order to improve the reliability of system, and can provide accident pattern when reporting to the police, native system has loaded inclination sensor.The same with acceleration transducer, the touching signals sending for inclination sensor also can obtain the timely response of system.Different, inclination sensor only need to be set an angle value, will trigger alarm device when being greater than this value, and it goes without doing further judgement.Generally, when automobile inclination angle when being greater than 60 degree, we think major accident have occurred.We adopt PCT-SK1-2S inclination sensor for this reason, and it is a tilt switch in fact, and its principal feature is: single, double axial rake switch--switching value output and relay switch output, range ± 1～± 90.Optional, wide voltage input 9～36V.

System is also with hummer.Hummer is mainly the false triggering for anti-locking system, because the collision detection of automobile need to be passed through a large amount of experimental verifications, setting for activation threshold value also has higher requirement, for the possible false judgment of anti-locking system, when system triggers, hummer can send alarm signal, to remind driver to restart system or other operations when the unnecessary warning.

Embodiment 2

The embodiment of the present invention 2 discloses a kind of private car driving monitoring and alarm method.

A driving monitoring and alarm method, comprises the following steps:

Vehicle launch, power supply connected processor, in normally driving process, whole system is in holding state, and status indicator lamp work is good;

When the speed of a motor vehicle changes, acceleration transducer and inclination sensor are exported corresponding voltage signal;

After A/D sampling, voltage signal is judged, if be greater than initial acceleration threshold value, processor is opened camera by camera control module, records real-time pictures;

Acceleration transducer continues to gather acceleration signal, and algorithm logic controller carries out algorithm logic analysis, to determine whether to have occurred traffic hazard;

If reach final accident threshold value, system is sent warning message immediately, by cdma communication module notice traffic control center, victim family members and hospital;

Traffic control center is by GPS locating module positioned vehicle position.

When system triggers, hummer sends buzzing alarming.

Wherein, due to acceleration transducer output is analog voltage, can not directly deliver to A/D translation interface, and also all can not meet the demands from amplitude and waveform, need to pass through voltage amplification, after phase sensitive detection and low-pass filtering, just can obtain satisfactory and the proportional digital voltage signal of pickup variable, and then be input to AD interface through Xout pin.

Denoising and decoupling disposal route to the corresponding voltage signal of acceleration transducer output are: at VS, be connected in series the electric capacity of 0.1uF with COM end, and in the feed circuit of power supply, seal in a resistance that is less than 100 Ω, to reach the effect of decoupling.

Wherein, due to acceleration transducer output is analog voltage, can not directly deliver to A/D translation interface, and also all can not meet the demands from amplitude and waveform, need to pass through voltage amplification, after phase sensitive detection and low-pass filtering, just can obtain satisfactory and the proportional digital voltage signal of pickup variable, and then through Xout mistake! Do not find Reference source.Pin is input to AD interface.

F-3db=1／[2π(32KΩ)× ^C]

Also can simplify as F-3db=5uF/C

C in above-mentioned formula is direct earth capacitance value, and 32K Ω resistance is the normal resistance of sensor internal.

About touch-control algorithm:

For native system can be played a role reliably, touch-control algorithm must meet several requirements: 1, judge accurately great traffic hazard has occurred, will have very high sensitivity on the one hand, also will prevent false triggering on the other hand, cause unnecessary loss; 2, export timely touching signals, due to traffic hazard, major accident especially, the time of generation is all very short, must guarantee algorithm simplify and efficient, make system can catch in time and complete judgement and output; 3, antijamming capability is eager to excel, and generally the road conditions of running car are complicated and changeable, and especially in some distortions, hollow, pavement of stone block, the speed of a motor vehicle has larger fluctuation, and this all requires system to have stronger antijamming capability.

The trigger mode comparative maturity of current safe automobile air bag, algorithm research technology is comparative maturity also, so native system can adopt similar thinking.The IGNITION CONTROL algorithm of air bag is generally conventional speed quantity method, calculation refer to specific power, acceleration peak value method, acceleration ramp method, neural network etc.The widespread use in the touch-control algorithm of air bag of above algorithm, but be all not too applicable to native system, by the analysis to actual requirement, the present invention proposes a kind of new algorithm a period of time integral algorithm, process is as follows: the acceleration signal of measured automobiles first, then the acceleration signal recording is made comparisons with predetermined threshold value, if be greater than threshold value, carry out integral operation, and then obtain the general speed variable quantity in collision process, when being more than or equal to predefined final threshold value, this variable quantity just causes trigger pip.With accelerating curve, compare with velocity variations discharge curve and want much level and smooth, therefore this algorithm has stronger antijamming capability.This method requires to determine the moment that starts to carry out integration in advance, is in general by setting an acceleration rate threshold, to determine the initial time of collision.

Described section of time integral algorithm adopts following methods: first, two threshold values are set, acceleration rate threshold a ₀with touch-control threshold value M, the accekeration collecting when A/D modular converter is greater than a ₀time, starting monitoring module, camera starts to take the video of the scene of the accident, and in second, every h, gathers primary acceleration value at ensuing T (occurrence also needs to determine in test), then does integration.When its integration with while being greater than threshold value M, send warning message.The M here need to carry out test of many times and calculate just obtaining.

Adopt Newton-Cotes quadrature formula to carry out integration to the signal transmitting, first integrating range T is divided into n isometric minizone [mi, mi+1] (i=1,2, ..., n), burst length is made as h, on each minizone, apply trapezoidal quadrature formula, be added the trapezoidal quadrature value of complexification that just obtains expectation; When the acceleration signal collecting is greater than a ₀time, at ensuing T, in the time, every the h time, gathering once, and in current h, this accekeration is carried out to integration, t is sheet integral time, value is 0-100ms, t ₁～t ₂interval 100ms.

Finally by all integrated value summations; Computing formula is as follows:

$\begin{array}{cc}S(t,h)={\&Integral;}_t^{t+T}a\left(t\right)\mathrm{dt}& \\ ={\&Integral;}_{t_1}^{{\mathrm{<figure-callout\; id="1"\; label="t"\; filenames="HSA0000096392190000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_1+h}a\left(t\right)\mathrm{dt}+{\&Integral;}_{t_2}^{{\mathrm{<figure-callout\; id="2"\; label="t"\; filenames="HSA0000096392190000012.png,HSA0000096392190000013.png"\; state="\{\{state\}\}">t</figure-callout>}}_2+h}a\left(t\right)\mathrm{dt}+& {\&Integral;}_{t_s}^{t_s+h}a\left(t\right)\mathrm{dt}+\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+{\&Integral;}_{t_n}^{t_n+h}a\left(t\right)d\left(t\right)\end{array}$

Even if further can obtain:

$\begin{array}{c}S(t,h)\&ap;\frac{h}{2}[a\left(t1\right)+a\left(t2\right)]+\frac{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HSA0000096392190000012.png,HSA0000096392190000013.png"\; state="\{\{state\}\}">h</figure-callout>}}{2}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+\frac{h}{2}[a(\mathrm{tn}-1)+a\left(\mathrm{tn}\right)]\\ =h\left[\frac{1}{2}\right(a\left(t1\right)+\frac{1}{2}a\left(\mathrm{tn}\right)+a\left(t2\right)+a\left(t3\right)\&CenterDot;\&CenterDot;\&CenterDot;+a(\mathrm{tn}-1)].\end{array}$

Described T is that acceleration gathers T.T., and value is: 10s≤T≤60s; Described h is collection degree of adding value interval time, and value is: 1s≤h≤20s.

Take certain brand vehicle is example, T=15s, and h=10s, its typical technology index is as shown in the table:

Table 1 acceleration peak value, braking time and curve tendency comparison sheet

By to the analysis of data above, applicant finds, normal brake application, point are stopped and the situation of roadblock, just can be easily by its eliminating by the acceleration rate threshold of integration initial time is set, more indistinguishable is emergency brake and accident, because its duration is also shorter, acceleration amplitude is soaring also very fast.In order to verify the validity of integral algorithm, applicant be take in the morning 60km/h on unmanned outlying highway and is done real train test as example, obtain brake hard, normal brake application, penalty kick and through four kinds of roadblocks the acceleration signal curve maps under please condition, see Fig. 5.Initial integral threshold is not set, respectively the acceleration in four kinds of situations is carried out to integral and calculating, obtain 60km/h integrated acceleration curve map as shown in Figure 6.The peak accelerator of normal brake application of take obtains integrated acceleration curve map as shown in Figure 7 as initial integral threshold.

From Fig. 7, can it is evident that, the peak accelerator of normal brake application of take is initial integral threshold, the two kinds of situations of only having that have integrated value, if take, be greater than normal brake application acceleration peak value as initiation threshold, only have integrated curve of brake hard, thereby effectively remove the interference in other situations.In the situation of 60km/h, brake hard all can reach peak value with the integrated value having an accident in 4s, now, if automobile restarts within ensuing 11 seconds, peak value can reduce, and under accident conditions, peak value can keep always, thus, distinguish brake hard and accident, and then send warning message.Meanwhile, in order to guarantee the reliability of system, when reaching alarm threshold value, the hummer of system can sound, and reminds car owner, restarts system when unnecessary warning.

Above a kind of private car driving monitoring and alarm system provided by the present invention and method thereof are described in detail, for one of ordinary skill in the art, thought according to the embodiment of the present invention, all will change in specific embodiments and applications, for example given just a kind of situation of the present embodiment in accompanying drawing.In sum, this description should not be construed as limitation of the present invention.

Claims (15)

1. a private car driving monitoring and alarm system, comprises power supply, processor and camera, and described processor connects power supply, camera and cdma communication module and GPS locating module; It is characterized in that, described processor is also connected with acceleration transducer and inclination sensor; Described processor adopting embedded OS also embeds algorithm logic module.

2. private car driving monitoring and alarm system according to claim 1, is characterized in that, described processor is connected to camera by camera control module, and camera control module is also connected with video drive, video acquisition and reservoir.

3. private car driving monitoring and alarm system according to claim 1, is characterized in that, described cdma communication module has the mailing address of victim family members, hospital and traffic control center.

4. private car driving monitoring and alarm system according to claim 1, is characterized in that, described power supply is connected to processor by reset control circuit.

5. private car driving monitoring and alarm system according to claim 4, is characterized in that, described reset control circuit is with status indicator lamp.

6. private car driving monitoring and alarm system according to claim 1, is characterized in that, described processor is also with USB interface, SD draw-in groove and clock source.

7. private car driving monitoring and alarm system according to claim 1, is characterized in that, also with hummer.

8. private car driving monitoring and alarm system according to claim 2, is characterized in that, described camera is connected to camera control module by USB interface.

9. a monitoring and alarm method for the driving of the private car based on described in the claims monitoring and alarm system, is characterized in that, comprises the following steps:

Vehicle launch, power supply connected processor, in normally driving process, whole system is in holding state, and status indicator lamp work is good;

When the speed of a motor vehicle changes, acceleration transducer and inclination sensor are exported corresponding voltage signal;

After A/D sampling, voltage signal is judged, if be greater than initial acceleration threshold value, processor is opened camera by camera control module, records real-time pictures;

Acceleration transducer continues to gather acceleration signal, and algorithm logic controller carries out algorithm logic analysis, to determine whether to have occurred traffic hazard;

If reach final accident threshold value, system is sent warning message immediately, by cdma communication module notice traffic control center, victim family members and hospital;

Traffic control center is by GPS locating module positioned vehicle position.

10. monitoring and alarm method according to claim 9, is characterized in that, when system triggers, hummer sends buzzing alarming.

11. monitoring and alarm methods according to claim 9, it is characterized in that, denoising and decoupling disposal route to the corresponding voltage signal of acceleration transducer output are: at VS, be connected in series the electric capacity of 0.1uF with COM end, and in the feed circuit of power supply, seal in a resistance that is less than 100 Ω, to reach the effect of decoupling.

12. monitoring and alarm methods according to claim 9, it is characterized in that, the filtering method of acceleration transducer is: by loading direct earth capacitance at XOUT, realize the improvement to noise and sawtooth, design circuit-3db (half-power point) Bandwidth Calculation Formula is as follows:

F-3db=1／[2π(32KΩ)× ^C]

C in above-mentioned formula is direct earth capacitance value, and 32K Ω resistance is the normal resistance of sensor internal.

13. monitoring and alarm methods according to claim 9, is characterized in that, described algorithm logic analysis adopts following methods: the accekeration collecting when A/D modular converter is greater than acceleration rate threshold a ₀time, processor starts camera control module, and camera starts to take the video of the scene of the accident, and in ensuing time T, every h, gathers primary acceleration value, then does integration; When its integration with while being greater than threshold value touch-control threshold value M, send warning message.

14. monitoring and alarm methods according to claim 13, it is characterized in that, adopt Newton-Cotes quadrature formula to carry out integration to the signal transmitting, first integrating range T is divided into n isometric minizone [mi, mi+1] (i=1,2, ..., n), burst length is made as h, on each minizone, apply trapezoidal quadrature formula, be added the trapezoidal quadrature value of complexification that just obtains expectation; When the acceleration signal collecting is greater than a ₀time, at ensuing T, in the time, every the h time, gathering once, and in current h, this accekeration is carried out to integration, t is sheet integral time, value is 0-100ms, finally by all integrated value summations; Computing formula is as follows:

$\begin{array}{cc}S(t,h)={\&Integral;}_t^{t+T}a\left(t\right)\mathrm{dt}& \\ ={\&Integral;}_{t_1}^{t_1+h}a\left(t\right)\mathrm{dt}+{\&Integral;}_{t_2}^{t_2+h}a\left(t\right)\mathrm{dt}+& {\&Integral;}_{t_s}^{t_s+h}a\left(t\right)\mathrm{dt}+\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+{\&Integral;}_{t_n}^{t_n+h}a\left(t\right)d\left(t\right)\end{array}$

Even if further can obtain:

$\begin{array}{c}S(t,h)\&ap;\frac{h}{2}[a\left(t1\right)+a\left(t2\right)]+\frac{h}{2}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+\frac{h}{2}[a(\mathrm{tn}-1)+a\left(\mathrm{tn}\right)]\\ =h\left[\frac{1}{2}\right(a\left(t1\right)+\frac{1}{2}a\left(\mathrm{tn}\right)+a\left(t2\right)+a\left(t3\right)\&CenterDot;\&CenterDot;\&CenterDot;+a(\mathrm{tn}-1)].\end{array}$

15. according to the monitoring and alarm method described in claim 13 or 14, it is characterized in that, described T is that acceleration gathers T.T., and value is: 10s≤T≤60s; Described h is collection accekeration interval time, and value is: 1s≤h≤20s.

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