CN102034330A - Fire-prevention and invasion-prevention synchronous early warning system and signal processing method thereof - Google Patents
Fire-prevention and invasion-prevention synchronous early warning system and signal processing method thereof Download PDFInfo
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Abstract
本发明公开了一种基于布拉格光纤光栅(FBG)传感网络的防火防入侵同步预警系统，包括三个模块：挂设在周界围栏上或埋在地下的传感光缆、光信号解调装置和中央处理单元。在防入侵监测系统中，利用FBG传感器对应变和温度同时敏感的特性，根据应变和温度导致波长变化的规律不同，即入侵导致FBG反射波长在其静态值附近有较快的上下波动变化，而温度变化使反射波长朝某一方向缓慢漂移，从信号处理方法上通过提取二者的不同特征，对入侵和火灾进行智能辨别，并进行相应的提示报警。
The invention discloses a fire prevention and intrusion prevention synchronous early warning system based on a Fiber Bragg Grating (FBG) sensor network, which includes three modules: a sensing optical cable hung on the perimeter fence or buried underground, and an optical signal demodulation device and central processing unit. In the anti-intrusion monitoring system, the FBG sensor is sensitive to strain and temperature at the same time, according to the different laws of the wavelength change caused by strain and temperature, that is, the intrusion causes the FBG reflection wavelength to fluctuate rapidly around its static value, while Temperature changes cause the reflected wavelength to slowly drift in a certain direction. From the signal processing method, by extracting the different characteristics of the two, intelligently distinguish intrusion and fire, and give corresponding prompts and alarms.
Description
Technical field
The present invention relates to security system, technology and sensing network signal processing method field, synchronous early warning system of invasion and signal processing method thereof are specifically related to prevent fires.
Background technology
For military area, airport, museum and other important strick precaution zones, the monitoring of the early warning of fire and zone invasion is of equal importance.No matter be based at present the safety-protection system that electric sensor also is based on optical sensor, it is the unicity of function that characteristics are all arranged, only invasion is monitored to circumference, only regional fire is carried out early warning, if satisfy the multinomial security protection demand of user simultaneously to zone invasion and fire etc., need integrated a plurality of monitoring system usually, will prevent invasion and fire prevention system carry out integrated, link, or parallel installation and operation, could satisfy the specific (special) requirements of special important events to safety precaution.Integrated or the parallel installation of system, not only cause system redundancy numerous and jumbled, and will certainly cause the rapid increase of security protection facility cost, therefore need a kind of sensor-based system to monitor a plurality of parameters simultaneously, for safety-protection system, promptly on the succinct safety-protection system of a cover, realize the synchronous early warning of fire and invasion, reach the effect of getting twice the result with half the effort.
The FBG fiber-optic grating sensor not only has the anti-electromagnetic interference (EMI) of general Fibre Optical Sensor, all advantages of extremely rugged surroundings such as high temperature resistant, corrosion-resistant etc., simultaneously because it is a wavelength detection type, with respect to interfering isocandela detection type sensor to have stronger antijamming capability, and multiple parameter such as FBG sensor for temperature, strain is responsive simultaneously, so can be encapsulated as polytype sensors such as temperature or strain, perhaps be encapsulated as the sensor of multi parameter simultaneous measuring, therefore use very extensive.In the practical application, FBG measuring method the time to temperature and strain, no matter be double grating method or single raster method, its physical essence all is similar, utilize the temperature and the strain of close two grating perception same area with different sensitivity coefficients, by two groups of measurement results, the group of solving an equation can obtain the dependent variable and the temperature survey amount of this point respectively.But because the close grating of temperature, strain synchro measure needs special processes to make and encapsulate, so cost is higher.Utilize the FBG sensor to strain, the characteristic that temperature is responsive simultaneously, can realize the synchronous perception of strain and temperature on the single grating, on anti-invasion fiber fence basis based on strain or oscillating mode FBG sensor, according to strain or vibration and temperature Different Effects to the FBG reflection wavelength, analyze the characteristics of monitor signal by signal processing method, judge it is to cause unusually from temperature effect or by strain or vibration effect, on the intrusion detection function basis of fiber fence anti-intrusion system, need not to make the change of any hardware enclosure, also need not to add responsive to temperature optical cable and other temperature monitoring systems, can reach the function of temperature monitoring and warning, on single cover safety-protection system, realize the synchronous early warning of fire prevention and anti-invasion.
Summary of the invention
Problem to be solved by this invention is: how anti-synchronous early warning system of invasion of a kind of fire prevention and signal processing method thereof are provided, this system need not the system integration, need not the increase or the adjustment of hardware configuration, only handle by software signal, can be on the intrusion detection basis, increase utilizes single cover safety-protection system to realize the synchronous early warning of the anti-invasion of fire prevention to the identification and the monitoring of temperature anomaly signal.
Technical matters proposed by the invention is to solve like this: provide the anti-invasion of a kind of fire prevention synchronous early warning system, it is characterized in that, comprise three modules:
1. be hung on the circumference fence or be embedded in underground sensing optic cable: be serially connected with a plurality of strain type FBG sensors in the sensing optic cable, the installation interval distance of FBG sensor is determined according to user's request and circumference situation, be used for the vibration of invading on the perception circumference or strain signal and extraneous temperature variations, monitor the safety case of whole perimeter region;
2. demodulating equipment: comprise light source, signal demodulating apparatus and photoswitch, being respectively applied for provides light source, and the light signal of reflected back is carried out demodulation, opto-electronic conversion and A/D analog to digital conversion, and loading capability is limited also to carry out the passage expansion by photoswitch if system holds;
3. CPU (central processing unit): be meant warning system or processing host, be used for the sensing network node signal that transmits is handled in real time, obtain result and the control output of reporting to the police;
The light transducing signal that carries invasion information is transferred to signal demodulating apparatus by sensing optic cable, through demodulation, opto-electronic conversion and A/D analog to digital conversion, be transferred to processing host or warning system by Ethernet or serial ports form, processing host is handled the signal of all nodes of sensing network of reception in real time, judge unusual generation, the specific category of abnormal conditions, and start warning, carry out the locating and displaying of abnormity point simultaneously.
The signal processing method of the synchronous early warning system of the anti-invasion of above-mentioned fire prevention is characterized in that, may further comprise the steps:
1. after processing host is carried out pre-service with the signal of all nodes of sensing network of receiving,, judge whether the perimeter region of monitoring has unusual generation,, then start and report to the police, and abnormity point is positioned if any unusually by extracting off-note information;
2. by the abnormal signal signature analysis to reporting to the police, the abnormal conditions of confirming are classified: comprise invasion, temperature rises, and temperature descends, and has invasion and temperature to rise simultaneously, and five kinds of abnormal patterns of degradation under invasion and the temperature are arranged simultaneously.
Signal processing method according to the synchronous early warning system of the anti-invasion of fire prevention provided by the present invention is characterized in that, step 1. in, the detection of abnormal signal and localization method are:
If the transducing signal array that receives is X={x
i(n), i=1,2 ..., N; N=1,2 ..., M}, N are the node number of sensing network, and M is the analysis length of each node signal, and the normalized autocorrelation functions of each node signal is C
i={ E
i(x (n), x (n-l)), l=0,1 ..., M}, l are time delay, unit is a sampled point, | C
i|≤1; If the I node is not for there being the node of invasion, signal time auto-correlation length is not l when having invasion
1, the J node is the node that invasion is arranged, signal time auto-correlation length was l when invasion was arranged
2, the two, length relation always had 0≤l correlation time
1＜l
2, select a definite time delay l
1＜L＜l
2, normalized correlation coefficient E must be arranged
I(x (n), x (n-L))＜E
J(x (n), x (n-L)), and have
Or E
J(x (n), x (n-L))＞＞0;
Set a normalized autocorrelation coefficient threshold value η
c, 0.5＜η
c＜1, judge according to following formula whether abnormal signal exists:
When
The time, judge that circumference does not have abnormal conditions to take place; When
The time, judge that circumference has unusual generation;
If
For single-point unusual; If
To R
iContinuous several node i of=1 are carried out cluster, several nodes that can cluster judge it is to be caused by same extraneous factor, the number of the final class of determining is actual abnormal point numerical after the cluster, the node ordinal number in each class is asked on average round again, carries out the unusual location of multiple spot.
Signal processing method according to the synchronous early warning system of the anti-invasion of fire prevention provided by the present invention; it is characterized in that; step 2. in; the classification of abnormal conditions is judged based on the temporal signatures of monitor signal; according to different to the influence of FBG center sensor reflection wavelength of temperature and strain; extract corresponding temporal signatures parameter; according to these characteristic parameters temperature and strain are distinguished: outside invading action can cause that usually fence rocks or vibrates; make the FBG strain transducer that is hung on the fence change; cause FBG center sensor reflection wavelength to change or drift about with the strain variation rule is corresponding; this variation is normally done concussion and is changed near the benchmark quiescent value; and pace of change is than very fast; and the rising of extraneous local temperature can cause corresponding FBG center sensor wavelength slowly to drift about towards long wavelength's direction; the two is obviously different to the influence of wave length shift; according to the different variation characteristics of monitor signal amplitude, the two is distinguished.
The present invention is based in the anti-system for monitoring intrusion of bragg grating (FBG) sensing network, utilize the FBG sensor to strain and the responsive simultaneously characteristic of temperature, cause the rule of wavelength variations different according to the invasion action with temperature, i.e. invasion causes the strain variation or the vibration of FBG sensor, its reflection wavelength has faster fluctuation up and down to change near the centre wavelength value, and temperature variation makes reflection wavelength slowly drift about towards a certain direction, pass through to extract the different characteristic of the two from signal processing method, invasion and fire are carried out intelligence and distinguished, and carry out the corresponding prompt warning.Native system need not a plurality of system integrations; need not temperature sensor; the increase or the adjustment of hardware configurations such as sensing optic cable and other temp measuring systems; only by the software signal disposal route; the abnormal conditions of perception on the sensing optic cable can be distinguished; identifying temperature anomaly or other menaces invasion action causes; or the stack of the two; on single cover safety-protection system, realize the function of fire prevention and the synchronous early warning of anti-invasion; improved the defence performance of safety-protection system; effectively reduce the cost of system simultaneously, situations such as the higher and system architecture redundancy of the system cost of having avoided two covers and the above system integration or parallel running to cause.
Description of drawings
Fig. 1 is a prevent fires embodiment of the synchronous prior-warning device of invasion of the present invention, the synchronous early warning system of fiber fence fire prevention anti-intrusion system;
Fig. 2 is a signal processing flow of the present invention;
Fig. 3 is wavelength variations trend and the wavelength value distribution plan thereof that invasion causes;
Fig. 4 is wavelength variations trend and the wavelength value distribution plan thereof that temperature rises and causes;
Fig. 5 is wavelength variations trend and the wavelength value distribution plan thereof that temperature descends and causes;
Fig. 6 is wavelength variations trend and the wavelength value distribution plan thereof that " decline of invasion+temperature " causes.
Embodiment
Below in conjunction with accompanying drawing the present invention is further described:
The invention provides the synchronous early warning system of the anti-invasion of a kind of fire prevention.Characteristics of the present invention are on the fiber fence anti-intrusion system based on the FBG sensing network, need not with other fire-fighting early warning systems integrated, also need not to carry out to adjust on the hardware configurations such as temperature sensitive encapsulation of sensor, or increase hardware facilities such as temperature sensitive sensing optic cable, only by the software signal disposal route, according to different to FBG foveal reflex wavelength affects of temperature and strain, extract corresponding temporal signatures parameter, the feature that changes according to the monitor signal amplitude is carried out intelligence to temperature and strain and is distinguished, realizes early warning in fire prevention and the anti-invasion on a cover safety-protection system.
Be example with the synchronous early warning system of the anti-invasion of fiber fence fire prevention below, in conjunction with the accompanying drawings specific implementation method of the present invention be further described based on quasi-distributed FBG strain transducer:
At first introduce fire, invasion sync detection device that the specific embodiment of the invention one is adopted, as shown in Figure 1, be made up of three modules: the sensing optic cable that is hung on the fence (is in series with N strain type FBG sensor in the optical cable, the installation interval distance of each sensor is determined according to user's request and circumference situation), be used for the vibration of invading on the perception circumference or strain signal and extraneous temperature variations, monitor the safety case of whole perimeter region; Light source, signal (FBG) demodulator and photoswitch demodulating equipments such as (photoswitch are for selecting for use), being respectively applied for provides light source, and the light signal of reflected back carried out demodulation, opto-electronic conversion and A/D analog to digital conversion, loading capability is limited can also to carry out the passage expansion by photoswitch if system holds; Warning system or processing host are used for the sensing network node signal that transmits is handled in real time, judge that circumference has or not abnormal conditions to take place, and in time carries out sound and light alarm, and provides the concrete out-of-the way position and the type of abnormal conditions.What next introduce is exactly specific implementation method of the present invention:
The light transducing signal that carries invasion information is transferred to (FBG) demodulator by optical cable, through demodulation, opto-electronic conversion and A/D analog to digital conversion, be transferred to processing host by Ethernet or serial ports form, main frame is handled the signal of all nodes of sensing network of reception in real time, judge unusual generation, the specific category of abnormal conditions, and start warning, carry out the locating and displaying of abnormity point simultaneously.
To Signal Processing is key point of the present invention, prevent fires as the present invention and invade synchronous early warning system specific embodiment two, and the signal processing flow that is adopted, as shown in Figure 2:
(1) after main frame carries out pre-service with the signal of all nodes of sensing network of receiving,, judges whether the perimeter region of monitoring has unusual generation by extracting off-note information.If any unusually, then start and report to the police, and abnormity point is positioned;
(2) by the abnormal signal signature analysis to reporting to the police, the abnormal conditions of confirming are classified: comprise invasion, temperature rises, and temperature descends, and has invasion and temperature to rise simultaneously, and five kinds of abnormal patterns of degradation under invasion and the temperature are arranged simultaneously.
Because each node sensitivity of sensing network is inhomogeneous, directly by relatively monitor signal amplitude or energy are judged having or not of abnormal signal, cause false dismissal and mistake alert easily, and the preset threshold size is relevant with conditions such as fence material, weather, environment, be not easy to determine, therefore need a kind of new method for detecting abnormality.As embodiment three, the detection of abnormal signal and localization method are:
If the transducing signal array that receives is X={x
i(n), i=1,2 ..., N; N=1,2 ..., M}, N are the node number of sensing network, and M is the analysis length of each node signal, and the normalized autocorrelation functions of each node signal is C
i={ E
i(x (n), x (n-l)), l=0,1 ..., M}, l are time delay, unit is a sampled point, | C
i|≤1; If the I node is not for there being the node of invasion, signal time auto-correlation length is not l when having invasion
1, the J node is the node that invasion is arranged, signal time auto-correlation length was l when invasion was arranged
2, the two, length relation always had 0≤l correlation time
1＜l
2Select a definite time delay l
1＜L＜l
2, normalized correlation coefficient E must be arranged
I(x (n), x (n-L))＜E
J(x (n), x (n-L)), and have
Or E
J(x (n), x (n-L))＞＞0.Set a normalized autocorrelation coefficient threshold value η
c, 0.5＜η
c＜1, can judge whether abnormal signal exists according to following formula:
When
The time, judge that circumference does not have abnormal conditions to take place; When
The time, judge that circumference has unusual generation.
If
For single-point unusual; If
To R
iContinuous several node i of=1 are carried out cluster, several nodes that can cluster judge it is to be caused by same extraneous factor, the number of the final class of determining is actual abnormal point numerical after the cluster, the node ordinal number in each class is asked on average round again, carries out the unusual location of multiple spot.
Detect abnormal conditions and report to the police and locate, then need to extract the individual features of alerting signal then, abnormal conditions are classified, judge to be temperature anomaly unusually or to have invasion to take place, or two kinds of factors exist simultaneously.As embodiments of the invention four, concrete implementation method is:
The outside invading action can cause fence distortion or vibration usually; make the FBG strain change; cause FBG foveal reflex wavelength to change or drift about with the strain variation rule is corresponding; this variation is normally done concussion and is changed near the benchmark quiescent value; and pace of change is than very fast; and the rising of extraneous local temperature can cause corresponding FBG centre wavelength slowly to be drifted about towards long wavelength's direction; obviously; temperature is different to the influence of wave length shift with strain; the monitor signal variation characteristic of the two generation also has essential difference; therefore can the two be distinguished according to the different variation characteristics of monitor signal amplitude (being wavelength value).
Outside invading causes the wavelength change rule as shown in Figure 3, and centre wavelength fluctuates near its quiescent value, change comparatively fast, and temperature variation only can cause the unidirectional slow drift of wavelength, wavelength variations trend as shown in Figure 4 and Figure 5.Therefore, the distribution situation of its wavelength value is an eigenwert when choosing wavelength variations here, and for the invasion situation, as shown in Figure 3, the centre wavelength greater than average in the whole time period is even distribution substantially, is distributed in the whole time period in other words conj.or perhaps; And temperature rises or decline causes the wavelength folk prescription to drift, and its centre wavelength greater than average is " seesaw " single-ended distribution in the whole time period, promptly concentrates to be distributed in head or tail two ends, as Fig. 4, shown in Figure 5.In the observing time section (as 500 data points), get each wavelength value X
iWith the wavelength mean value in this time period
Compare, record is greater than (or less than)
Wavelength value X
iSequence number i, then i is averaged, according to the average position of i can obtain in this time period all greater than
Wavelength value X
iDistribution situation, shown in the Δ character position of Fig. 3, Fig. 4, Fig. 5 medium wave long value distribution plan, expression be in this time period greater than
Wavelength value X
iConcentrated distributing position.Three dotted line positions of wavelength value distribution plan are respectively the center of three category regions of division: 1. district expression greater than
Wavelength value X
iOrdinal number i be uniformly distributed in the average position of whole time period, characterize the wavelength variations trend and the wavelength value distribution situation thereof that cause by the standard invasion; 2. district expression greater than
Wavelength value X
iOrdinal number i position near second half section of section observing time, characterize and wavelength variations trend and wavelength value distribution situation thereof that temperature rises and to cause; 3. district expression greater than
Wavelength value X
iOrdinal number i position near observing time preceding half period of section, characterize the wavelength variations trend and the wavelength value distribution situation thereof that descend and cause by temperature.Which kind of anomalous event is the degree of closeness of the center (dotted line place) that interior wavelength value of comparative observation time period is concentrated distributing position (shown in the Δ position) and 1. distinguished, 2. distinguishes and 3. distinguish near which zone, just be divided in.But for invasion and the simultaneous situation of temperature variation, as shown in Figure 6, according to above determination methods, at first the gradient trend by wavelength variations is divided into the classification of temperature anomaly to it, deduct the once fitting curve of curve data then by virgin curve, remove the slope influence that temperature causes, the fluctuation size according to curve itself judges whether also to have superposeed a part of invasion signal inside again.If after removing the slope influence, the curve degree of fluctuation is bigger, think to be superimposed with intrusion behavior simultaneously, otherwise if fluctuation range in the random fluctuation scope, thinks that then this unusually only causes for temperature variation in temperature variation.Concrete sorting technique is: according in the time period greater than
Wavelength value X
iThe average position (shown in the Δ) of sequence number i and center (dotted line place) degree of closeness of 1. distinguishing, 2. distinguishing and 3. distinguish, at first will truly be divided into unusually: invasion, temperature rise and temperature descends three types, if the invasion type directly is divided into this " invasion " classification unusually; If temperature rises and temperature descends two types, remove the slope influence and judge whether to be superimposed with the invasion abnormal conditions according to the curve degree of fluctuation again, if judge it is to be superimposed with the invasion situation, then temperature rising and temperature decline are judged on the type basis in front, are refined as " rising of invasion+temperature " or " decline of invasion+temperature " classification; If judge the invasion situation that do not superpose, then directly be divided into " temperature rising " or " temperature decline " classification.
The specific implementation method of the synchronous early warning system of the anti-invasion of the fire prevention of enumerating in the embodiment of the invention that is based on quasi-distributed FBG strain transducer, the signal processing method of this invention can be applied to based on other optics, electricity fully or mix in the safety-protection system of quasi-distributed or distributed sensing network.
Claims (4)
1. the synchronous early warning system of the anti-invasion of fire prevention is characterized in that, comprises three modules:
1. be hung on the circumference fence or be embedded in underground sensing optic cable: be serially connected with a plurality of strains or oscillating mode FBG sensor in the sensing optic cable, the installation interval distance of FBG sensor is determined according to user's request and circumference situation, be used for the vibration of invading on the perception circumference or strain signal and extraneous temperature variations, monitor the safety case of whole perimeter region;
2. demodulating equipment: comprise light source, signal demodulating apparatus and photoswitch expansion module, being respectively applied for provides light source, and the light signal of reflected back carried out demodulation, opto-electronic conversion and A/D analog to digital conversion, loading capability is limited also to carry out the passage expansion by photoswitch if system holds;
3. CPU (central processing unit): refer to warning system or processing host, be used for each sensing network node signal that transmits is handled in real time, obtain result and the control output of reporting to the police;
The light transducing signal that carries invasion information is transferred to signal demodulating apparatus by sensing optic cable, through demodulation, opto-electronic conversion and A/D analog to digital conversion, be transferred to processing host or warning system by Ethernet or serial ports form, processing host is handled the signal of all nodes of sensing network of reception in real time, judge unusual generation, the specific category of abnormal conditions, and start warning, carry out the locating and displaying of abnormity point simultaneously.
2. the signal processing method of the synchronous early warning system of the anti-invasion of fire prevention according to claim 1 is characterized in that, may further comprise the steps:
1. after processing host is carried out pre-service with the signal of all nodes of sensing network of receiving,, judge whether the perimeter region of monitoring has unusual generation,, then start and report to the police, and abnormity point is positioned if any unusually by extracting off-note information;
2. by the abnormal signal signature analysis to reporting to the police, the abnormal conditions of confirming are classified: comprise invasion, temperature rises, and temperature descends, and has invasion and temperature to rise simultaneously, and five kinds of abnormal patterns of degradation under invasion and the temperature are arranged simultaneously.
3. the signal processing method of the synchronous early warning system of the anti-invasion of fire prevention according to claim 2 is characterized in that, step 1. in, the detection of abnormal signal and localization method are:
If the transducing signal array that receives is X={x
i(n), i=1,2 ..., N; N=1,2 ..., M}, N are the node number of sensing network, and M is the analysis length of each node signal, and the normalized autocorrelation functions of each node signal is C
i={ E
i(x (n), x (n-l)), l=0,1 ..., M}, l are time delay, unit is a sampled point, | C
i|≤1; If the I node is not for there being the node of invasion, signal time auto-correlation length is not l when having invasion
1, the J node is the node that invasion is arranged, signal time auto-correlation length was l when invasion was arranged
2, the two, length relation always had 0≤l correlation time
1＜l
2, select a definite time delay l
1＜L＜l
2, normalized correlation coefficient E must be arranged
I(x (n), x (n-L))＜E
J(x (n), x (n-L)), and have
Or E
J(x (n), x (n-L))＞＞0;
Set a normalized autocorrelation coefficient threshold value η
c, 0.5＜η
c＜1, judge according to following formula whether abnormal signal exists:
When
The time, judge that circumference does not have abnormal conditions to take place; When
The time, judge that circumference has unusual generation;
If
For single-point unusual; If
To R
iContinuous several node i of=1 are carried out cluster, several nodes that can cluster judge it is to be caused by same extraneous factor, the number of the final class of determining is actual abnormal point numerical after the cluster, the node ordinal number in each class is asked on average round again, carries out the unusual location of multiple spot.
4. the signal processing method of the synchronous early warning system of the anti-invasion of fire prevention according to claim 2; it is characterized in that; step 2. in; the classification of abnormal conditions is judged based on the temporal signatures of monitor signal; according to different to the influence of FBG center sensor reflection wavelength of temperature and strain; extract corresponding temporal signatures parameter; according to these characteristic parameters temperature and strain are distinguished: outside invading action can cause that usually fence rocks or vibrates; make the FBG strain transducer that is hung on the fence change; cause FBG center sensor reflection wavelength to change or drift about with the strain variation rule is corresponding; this variation is normally done concussion and is changed near the benchmark quiescent value; and pace of change is than very fast; and the rising of extraneous local temperature can cause corresponding FBG center sensor wavelength slowly to drift about towards long wavelength's direction; the two is obviously different to the influence of wave length shift; according to the different variation characteristics of monitor signal amplitude, the two is distinguished.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663032A (en) * | 2012-03-26 | 2012-09-12 | 电子科技大学 | Fiber grating fence invasion event mode recognition method |
| CN103236127A (en) * | 2013-05-06 | 2013-08-07 | 无锡成电光纤传感科技有限公司 | Fiber fence intrusion monitoring system and pattern recognition method thereof |
| CN103544791A (en) * | 2012-07-10 | 2014-01-29 | 中国矿业大学(北京) | Underground invasion monitoring system on basis of seismic waves |
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| CN103544791A (en) * | 2012-07-10 | 2014-01-29 | 中国矿业大学(北京) | Underground invasion monitoring system on basis of seismic waves |
| CN103544791B (en) * | 2012-07-10 | 2016-01-20 | 中国矿业大学(北京) | Based on the underground system for monitoring intrusion of seismic event |
| CN103236127A (en) * | 2013-05-06 | 2013-08-07 | 无锡成电光纤传感科技有限公司 | Fiber fence intrusion monitoring system and pattern recognition method thereof |
| CN103236127B (en) * | 2013-05-06 | 2016-06-22 | 无锡成电光纤传感科技有限公司 | A kind of fiber fence system for monitoring intrusion and mode identification method thereof |
| CN105989681A (en) * | 2015-02-05 | 2016-10-05 | 丁志国 | Accurate positioning protection system for remote fiber line |
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| CN108282382A (en) * | 2016-04-25 | 2018-07-13 | 思科技术公司 | Hybrid Fiber Coax failure modes in cable network environment |
| CN109242195A (en) * | 2018-09-25 | 2019-01-18 | 李琳 | Prediction technique that a kind of specified region catches fire that a situation arises |
| CN109242195B (en) * | 2018-09-25 | 2021-10-19 | 杭州灿八科技有限公司 | Method for predicting fire occurrence condition of specified area |
| CN111833561A (en) * | 2019-11-20 | 2020-10-27 | 杭州四方博瑞科技股份有限公司 | Method and system for judging abnormal situation around wall |
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