CN102968868B - Fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis - Google Patents
Fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis Download PDFInfo
- Publication number
- CN102968868B CN102968868B CN201210431154.7A CN201210431154A CN102968868B CN 102968868 B CN102968868 B CN 102968868B CN 201210431154 A CN201210431154 A CN 201210431154A CN 102968868 B CN102968868 B CN 102968868B
- Authority
- CN
- China
- Prior art keywords
- signal
- characteristic parameter
- temporal envelope
- time domain
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Burglar Alarm Systems (AREA)
Abstract
The invention discloses a fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis. The method comprises the following steps of receiving an outside vibration signal demodulated by a fiber bragg grating demodulation instrument; intercepting a signal with a fixed time span when the difference of a fluctuation value of the vibration signal and a preset average value is a specific value; pre-processing the intercepted signal to reduce the influence of system noise to the system; performing Hilbert transformation to the pre-processed signal to obtain a time domain envelope signal; framing the time domain envelope signal and acquiring characteristic parameters of framed time domain envelope signals; performing mode recognition of vibration behaviors according to characteristic parameter values and preset characteristic parameter threshold values; and generating alarm information and sending the information to a linkage device if the characteristic parameter values meet preset alarm conditions. The fiber bragg grating perimeter intrusion behavior identification method and system based on the time domain envelopment analysis is high in sensitivity on recognizing intrusion behaviors, strong in environment-resisting capacity, good in alarm performance and low in false alarm rate.
Description
Technical field
The present invention relates to circumference safety-security area, specifically refer to a kind of based on temporal envelope analysis fiber grating circumference intrusion behavior recognition methods and system.
Background technology
Circumference security protection refers at important area, as national defence border, military base, key departments of government, oil depot coalfield, nuclear power station, solar power station, transformer station of power plant, bank, prison, museum, airport, harbour, villa community, data center, water treatment plant, chemical plant, school and other great infrastructure etc., for stoping illegal invasion destructive activity, along place circumference, form safety precaution; Guarantee in defence area that personnel, property etc. are in protection and Guaranteed, for the behavior in turnover defence area, limit, once target, by the section turnover defence area that is prohibited to pass through, can be found in time, and concrete position that accurately prompting event occurs; Can implement limited warning or strike to target if desired.
Existing fiber grating circumference intrusion alarm system (CN101840615) is mainly that the size by Oscillation Amplitude judges whether to report to the police, and cannot distinguish intrusion behavior and carry out corresponding warning according to intrusion behavior.Optical fiber perimeter intrusion system (CN101556724A) exists location inaccurate simultaneously, the more high defect of rate of false alarm.
Summary of the invention
The technical problem to be solved in the present invention is for defect of the prior art, provides a kind of highly sensitive, and system alarm performance is good, and the lower intrusion behavior recognition methods of fiber grating circumference and the system analyzed based on temporal envelope of rate of false alarm.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of fiber grating circumference intrusion behavior recognition methods of analyzing based on temporal envelope is provided, comprises the following steps:
Reception is through the extraneous vibration signal of fiber Bragg grating (FBG) demodulator demodulation;
When the fluctuation of vibration signal and default mean value differ particular value, the signal of intercepting set time length;
Intercepted signal is carried out to pre-service, to reduce the impact of system noise on system;
To utilize Hilbert conversion through pretreated signal, ask for temporal envelope signal;
To temporal envelope signal, divide frame, and the temporal envelope signal of every frame is carried out to characteristic parameter extraction;
According to the value of characteristic parameter and predefined characteristic parameter threshold value, vibrate the pattern-recognition of behavior;
If the value of characteristic parameter meets the alert if setting in advance, generate warning message and send to interlocking equipment.
In method of the present invention, describedly to temporal envelope signal, divide frame to be specially to adopt sliding time window setting technique to divide frame.
In method of the present invention, described characteristic parameter comprises energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient.
In method of the present invention, described interlocking equipment comprises audible-visual annunciator and video monitoring system.
In method of the present invention, after generation warning message, store this warning message.
The present invention solves another technical scheme that its technical matters adopts:
A kind of fiber grating circumference intrusion behavior recognition system of analyzing based on temporal envelope is provided, comprises:
Receiver module, for receiving the extraneous vibration signal through fiber Bragg grating (FBG) demodulator demodulation;
Signal interception module, while differing particular value for the fluctuation when vibration signal and default mean value, the signal of intercepting set time length.
Pretreatment module, carries out pre-service for the signal to intercepted, to reduce the impact of system noise on system;
Hilbert conversion module, for asking for temporal envelope signal to utilize Hilbert to convert through pretreated signal;
Characteristic parameter extraction module, for dividing frame to temporal envelope signal, and carries out characteristic parameter extraction to the temporal envelope signal of every frame;
Pattern recognition module, for vibrating the pattern-recognition of behavior according to the value of characteristic parameter and predefined characteristic parameter threshold value;
Report to the police and generate and sending module, while meeting for the value at characteristic parameter the alert if setting in advance, generate warning message and send to interlocking equipment;
In recognition system of the present invention, described characteristic parameter extraction module is specifically for adopting sliding time window setting technique to divide frame.
In recognition system of the present invention, described characteristic parameter comprises energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient.
The beneficial effect that the present invention produces is: the present invention is by carrying out temporal envelope analyzing and processing to the circumference invasion signal after demodulation receiving, comprise that signal intercepting, Signal Pretreatment, signal envelope are asked for and the extraction of envelope characteristic parameter, model distinguishing and generation warning message send to interlocking equipment, according to the method, form recognition system, the fiber grating circumference intrusion alarm system that comprises this recognition system is highly sensitive, anti-environment capacity is strong, system alarm performance is good, and rate of false alarm is low.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is the process flow diagram of the fiber grating circumference intrusion behavior recognition methods of the embodiment of the present invention based on temporal envelope analysis;
Fig. 2 A is the time domain waveform figure of the vibration signal that causes of the artificial invasion of certain actual measurement of the embodiment of the present invention;
Fig. 2 B is the time domain waveform figure of the vibration signal that causes of the wind and rain environment of certain actual measurement of the embodiment of the present invention;
Fig. 2 C is the time domain waveform figure of the vibration signal that under the wind and rain environment of certain actual measurement of the embodiment of the present invention, artificial invasion causes;
Fig. 3 A is the temporal envelope oscillogram of the vibration signal that causes of the artificial invasion of the embodiment of the present invention certain actual measurement of extracting;
Fig. 3 B is the time domain waveform figure of the energy factors of the vibration signal that causes of the artificial invasion of the embodiment of the present invention certain actual measurement of extracting;
Fig. 3 C is the time domain waveform figure of the energy gradient of the vibration signal that causes of the artificial invasion of the embodiment of the present invention certain actual measurement of extracting;
Fig. 3 D is the nargin coefficient time domain waveform figure of the vibration signal that causes of the artificial invasion of the embodiment of the present invention certain actual measurement of extracting;
Fig. 3 E is the Lipschitz constant time domain waveform figure of the vibration signal that causes of the artificial invasion of the embodiment of the present invention certain actual measurement of extracting;
Fig. 3 F is the kurtosis coefficient time domain waveform figure of the vibration signal that causes of the artificial invasion of the embodiment of the present invention certain actual measurement of extracting;
Fig. 4 A is the temporal envelope signal graph of the vibration signal that causes of the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting;
Fig. 4 B is the time domain waveform figure of the energy factors of the vibration signal that causes of the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting;
Fig. 4 C is the time domain waveform figure of the energy gradient of the vibration signal that causes of the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting;
Fig. 4 D is the nargin coefficient time domain waveform figure of the vibration signal that causes of the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting;
Fig. 4 E is the Lipschitz constant time domain waveform figure of the vibration signal that causes of the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting;
Fig. 4 F is the kurtosis coefficient time domain waveform figure of the vibration signal that causes of the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting;
Fig. 5 A is the temporal envelope signal graph of the vibration signal that under the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting, artificial invasion causes;
Fig. 5 B is the time domain waveform figure of the energy factors of the vibration signal that under the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting, artificial invasion causes;
Fig. 5 C is the time domain waveform figure of the energy gradient of the vibration signal that under the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting, artificial invasion causes;
Fig. 5 D is the nargin coefficient time domain waveform figure of the vibration signal that under the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting, artificial invasion causes;
Fig. 5 E is the Lipschitz constant time domain waveform figure of the vibration signal that under the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting, artificial invasion causes;
Fig. 5 F is the kurtosis coefficient time domain waveform figure of the vibration signal that under the wind and rain environment of the embodiment of the present invention certain actual measurement of extracting, artificial invasion causes;
Fig. 6 is the structural representation of the fiber grating circumference intrusion behavior recognition system of the embodiment of the present invention based on temporal envelope analysis;
Fig. 7 is the fiber grating circumference intrusion alarm system structural representation that the embodiment of the present invention is analyzed based on temporal envelope.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, the fiber grating circumference intrusion behavior recognition methods that the embodiment of the present invention is analyzed based on temporal envelope, is mainly completed by fiber grating circumference intrusion behavior recognition system, comprises the following steps:
S101, recognition system receive the extraneous vibration signal through fiber Bragg grating (FBG) demodulator demodulation, in one embodiment of the invention, the vibration signal that recognition system receives is the caused vibration signal of intrusion behavior under the artificial intrusion behavior optical fiber raster vibration signal of actual measurement, the vibration signal of wind and rain environment and wind and rain environment, and its time domain waveform is respectively as shown in Fig. 2 A, 2B and 2C.
S102, when the fluctuation of vibration signal and default mean value differ particular value, the signal of recognition system intercepting set time length.
S103, recognition system are carried out pre-service to intercepted signal, to reduce the impact of system noise on system; Be mainly according to the data of intercepting, remove signal averaging amount, reduce the impact of system noise on system signal noise ratio.The time of minimizing system deal with data, improve system operation efficiency.Remove the DC quantity of signal, non-linear because of vibration signal, non-stationary, pretreated object as much as possible filtering noise is got rid of and is disturbed, the interference that for example variation of environment temperature causes.
S104, to utilizing Hilbert (Hilbert) conversion to ask for temporal envelope signal through pretreated signal, also can make characteristic pattern.As shown in Fig. 3 A, 4A and 5A, be respectively the envelope signal of the caused vibration signal of intrusion behavior under artificial intrusion behavior, wind and rain environment and the wind and rain environment of extraction.
S105, to temporal envelope signal, divide frame, and the temporal envelope signal of every frame is carried out to characteristic parameter extraction;
In one embodiment of the invention, to temporal envelope signal, dividing frame to be specially adopts sliding time window setting technique to divide frame.The vibration signal envelope signal causing according to the intrusion behavior under the artificial intrusion behavior, wind and rain environment and the wind and rain environment that extract, obtains the characteristic parameter under different intrusion behaviors, as shown in Fig. 3 B-3F, Fig. 4 B-4F and Fig. 5 B-5F.
Wherein characteristic parameter comprises the characteristic parameters such as energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient.Parameter in these time domains has reflected character and the feature of envelope from different aspects, reflected that to a certain extent different behaviors cause the difference of vibration mode.Characteristic parameter is defined as follows:
(1) energy factors: be defined as the ratio of energy and average energy, the variation of reaction energy.
(2) energy gradient: the energy in the unit interval.It has reacted the degree of energy variation.
(3) kurtosis (Kurtosis) K is the numerical statistic amount of reflection vibration signal distribution character, is normalized 4 center, rank squares.
in formula: x
ifor signal value,
for signal average; N is sampling length; δ
tfor standard deviation.
(4) nargin coefficient: the degree of its physical significance reactive system stability.D=x
p/x
r。X
pfor peak value, x
rfor root average.
(5) Lipschitz constant: be D to function y=f (x) field of definition, if there is L ∈ R, to any x
1, x
2∈ D, has: | f (x
1)-f (x
2) | < L|x
1-x
2|, title L is the Lipschitz constant of f (x) on D.If y=f (x) can lead on field of definition D, L just can get a f ' upper bound (x):
S106, according to the value of characteristic parameter and predefined characteristic parameter threshold value, vibrate the pattern-recognition of behavior;
There is obvious difference in envelope signal, by setting the mode of characteristic parameter threshold value, can carry out pattern-recognition on the characteristic parameters such as energy factors, energy gradient, nargin coefficient, Lipschitz constant, kurtosis coefficient.Utilize the experimental data of artificial invasion, extract characteristic parameter as shown in table 1 below:
Table 1 characteristic parameter
Utilize the characteristic parameter setting threshold of table 1 envelope to carry out artificial invasion and wind and rain pattern-recognition, being greater than threshold value is artificial intrusion behavior, and being less than threshold value is wind and rain environmental factor.Specific experiment result is as shown in table 2 below.
Table 2 pattern-recognition result
As shown in table 2, said method can carry out pattern-recognition to artificial intrusion behavior and wind and rain environment.And according to analysis result, can effectively prevent the mistake identification of the intrusion behavior under wind and rain environment.
As shown in Fig. 5 A-5F, the resulting signal characteristic parameter of the processing of the vibration signal that under wind and rain environment, intrusion behavior causes is all met to the pattern-recognition that system thresholds can be carried out behavior.
If the value of S107 characteristic parameter meets the alert if setting in advance, generate warning message and send to interlocking equipment.Interlocking equipment comprises audible-visual annunciator and video monitoring system.
In one embodiment of the invention, after generating warning message, store this warning message, so that carry out historical query.
As shown in Figure 6, the fiber grating circumference intrusion behavior recognition system that the embodiment of the present invention is analyzed based on temporal envelope, can realize the recognition methods of embodiment above, specifically comprises:
Receiver module 61, for receiving the extraneous vibration signal through fiber Bragg grating (FBG) demodulator demodulation;
Signal interception module 62, while differing particular value for the fluctuation when vibration signal and default mean value, the signal of intercepting set time length.
Pretreatment module 63, carries out pre-service for the signal to intercepted, to reduce the impact of system noise on system;
Hilbert conversion module 64, for asking for temporal envelope signal to utilize Hilbert to convert through pretreated signal;
Characteristic parameter extraction module 65, for dividing frame to temporal envelope signal, and carries out characteristic parameter extraction to the temporal envelope signal of every frame; Characteristic parameter can comprise energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient etc.
Pattern recognition module 66, for vibrating the pattern-recognition of behavior according to the value of characteristic parameter and predefined characteristic parameter threshold value;
Report to the police and generate and sending module 67, while meeting for the value at characteristic parameter the alert if setting in advance, generate warning message and send to interlocking equipment.Interlocking equipment comprises audible-visual annunciator and video monitoring system.
Further, in embodiments of the present invention, characteristic parameter extraction module 65 is specifically for adopting sliding time window setting technique to divide frame.
As shown in Figure 7, the fiber grating circumference intrusion alarm system that the embodiment of the present invention is analyzed based on temporal envelope, comprise optical fiber raster vibration detecting optical cable 10, transmission equipment 20, demodulated equipment 30, signal analysis and processing system 40 and interlocking equipment 50, wherein signal analysis and processing system 40 is the recognition system of embodiment above, at this, does not repeat one by one.
Optical fiber raster vibration detecting optical cable 10 is specifically comprised of series connection N optical fiber raster vibration detector, and wherein N is natural number.
Transmission equipment 20 comprises optical signal transmission optical cable and conduct vibrations equipment.Transmission cable is mainly transmission lightwave signal, and conduct vibrations equipment is for conduction vibration, even if extraneous vibration is not to act on optical fiber raster vibration detecting optical cable 10, and also can be by conduct vibrations equipment transmitting vibrations to optical fiber raster vibration detecting optical cable 10.
Demodulated equipment 30 is mainly fiber Bragg grating (FBG) demodulator, and they at most can 32 passages of load, and it is transmitted through the network to signal analysis and processing system 40 after demodulating fiber grating signal.
Wherein, interlocking equipment 50 comprises audible-visual annunciator and video monitoring system.
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improvement and conversion all should belong to the protection domain of claims of the present invention.
Claims (8)
1. a fiber grating circumference intrusion behavior recognition methods of analyzing based on temporal envelope, is characterized in that, comprises the following steps:
Reception is through the extraneous vibration signal of fiber Bragg grating (FBG) demodulator demodulation, and this extraneous vibration signal is wavelength signals;
When the fluctuation of vibration signal and default mean value differ particular value, the signal of intercepting set time length;
Intercepted signal is carried out to pre-service, according to the signal of intercepting, remove signal averaging amount, to reduce the impact of system noise on system;
To utilize Hilbert conversion through pretreated signal, ask for temporal envelope signal;
To temporal envelope signal, divide frame, and the temporal envelope signal of every frame is carried out to characteristic parameter extraction;
According to the value of characteristic parameter and predefined characteristic parameter threshold value, vibrate the pattern-recognition of behavior;
If the value of characteristic parameter meets the alert if setting in advance, generate warning message and send to interlocking equipment.
2. method according to claim 1, is characterized in that, describedly to temporal envelope signal, divides frame to be specially to adopt sliding time window setting technique to divide frame.
3. method according to claim 1, is characterized in that, described characteristic parameter comprises energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient.
4. method according to claim 1, is characterized in that, described interlocking equipment comprises audible-visual annunciator and video monitoring system.
5. method according to claim 1, is characterized in that, after generation warning message, stores this warning message.
6. a fiber grating circumference intrusion behavior recognition system of analyzing based on temporal envelope, is characterized in that, comprising:
Receiver module, for receiving the extraneous vibration signal through fiber Bragg grating (FBG) demodulator demodulation, this extraneous vibration signal is wavelength signals;
Signal interception module, while differing particular value for the fluctuation when vibration signal and default mean value, the signal of intercepting set time length;
Pretreatment module, carries out pre-service for the signal to intercepted, and according to the signal of intercepting, removes signal averaging amount, to reduce the impact of system noise on system;
Hilbert conversion module, for asking for temporal envelope signal to utilize Hilbert to convert through pretreated signal;
Characteristic parameter extraction module, for dividing frame to temporal envelope signal, and carries out characteristic parameter extraction to the temporal envelope signal of every frame;
Pattern recognition module, for vibrating the pattern-recognition of behavior according to the value of characteristic parameter and predefined characteristic parameter threshold value;
Report to the police and generate and sending module, while meeting for the value at characteristic parameter the alert if setting in advance, generate warning message and send to interlocking equipment.
7. recognition system according to claim 6, is characterized in that, described characteristic parameter extraction module is specifically for adopting sliding time window setting technique to divide frame.
8. recognition system according to claim 6, is characterized in that, described characteristic parameter comprises energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210431154.7A CN102968868B (en) | 2012-10-31 | 2012-10-31 | Fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210431154.7A CN102968868B (en) | 2012-10-31 | 2012-10-31 | Fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102968868A CN102968868A (en) | 2013-03-13 |
CN102968868B true CN102968868B (en) | 2014-12-10 |
Family
ID=47798990
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210431154.7A Active CN102968868B (en) | 2012-10-31 | 2012-10-31 | Fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102968868B (en) |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103345808B (en) * | 2013-06-26 | 2015-09-09 | 武汉理工光科股份有限公司 | The intrusion model recognition methods of fiber grating circumference and system |
CN103824406A (en) * | 2014-02-08 | 2014-05-28 | 上海波汇通信科技有限公司 | Optical fiber sensing-based tunnel cable invasive detection method and system |
CN104766099B (en) * | 2015-05-05 | 2017-12-05 | 武汉理工光科股份有限公司 | Distribution type fiber-optic circumference vibration signal processing and recognition methods based on image |
CN105067101A (en) * | 2015-08-05 | 2015-11-18 | 北方工业大学 | Fundamental tone frequency characteristic extraction method based on vibration signal for vibration source identification |
CN105469523B (en) * | 2015-12-30 | 2017-10-10 | 杭州安远科技有限公司 | The optical fiber perimeter means of defence of wind resistance rain interference |
CN106204993A (en) * | 2016-08-15 | 2016-12-07 | 成都市和平科技有限责任公司 | A kind of resident's circumference intrusion alarm system and alarm method thereof |
CN106706109B (en) * | 2016-12-15 | 2019-10-01 | 北方工业大学 | Vibration source identification method and system based on time domain two-dimensional characteristics |
CN106597049B (en) * | 2016-12-15 | 2019-01-25 | 电子科技大学 | Several waveform envelope extracting methods based on linked list array |
CN106682651A (en) * | 2017-02-10 | 2017-05-17 | 哈尔滨工业大学 | Monitoring method for cable insulation leather damage based on neural network |
CN108257364B (en) * | 2017-12-29 | 2020-08-14 | 北京航天控制仪器研究所 | Method for improving alarm reliability of distributed optical fiber monitoring system |
CN108399696A (en) * | 2018-03-22 | 2018-08-14 | 中科润程(北京)物联科技有限责任公司 | Intrusion behavior recognition methods and device |
CN109374116B (en) * | 2018-12-07 | 2020-12-29 | 武汉理工光科股份有限公司 | Excavation behavior identification method of buried optical fiber sensing vibration detection system |
CN111521257B (en) * | 2020-04-17 | 2021-03-16 | 北京科技大学 | Early warning method for rock block collapse |
CN115394024B (en) * | 2022-08-10 | 2024-02-23 | 武汉烽理光电技术有限公司 | Walking monitoring and predicting method and device based on grating array |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101488267A (en) * | 2009-02-13 | 2009-07-22 | 上海大学 | Signal characteristic recognition method for pedestrian intrusion into optical fiber fence |
CN101840615A (en) * | 2010-04-09 | 2010-09-22 | 武汉理工大学 | Self-adaptive warning system for intelligently addressing circumferential intrusions of fiber Bragging grating |
CN101916492A (en) * | 2010-08-10 | 2010-12-15 | 卢军翔 | Optical fiber intelligent sensor used in security system |
CN201829006U (en) * | 2010-08-04 | 2011-05-11 | 武汉安通科技产业发展有限公司 | Optical fiber sensing intelligent addressing perimeter intrusion alarm system |
CN102243795A (en) * | 2011-03-29 | 2011-11-16 | 上海安数信息技术有限公司 | Intelligent optical fiber sensor applied to security systems |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101192445B1 (en) * | 2011-02-25 | 2012-10-18 | 주식회사 에스원 | optical fiber sensor network with fixed bracket for maintaining grating shape, instruction detecting apparatus and method using the se1ssor network |
-
2012
- 2012-10-31 CN CN201210431154.7A patent/CN102968868B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101488267A (en) * | 2009-02-13 | 2009-07-22 | 上海大学 | Signal characteristic recognition method for pedestrian intrusion into optical fiber fence |
CN101840615A (en) * | 2010-04-09 | 2010-09-22 | 武汉理工大学 | Self-adaptive warning system for intelligently addressing circumferential intrusions of fiber Bragging grating |
CN201829006U (en) * | 2010-08-04 | 2011-05-11 | 武汉安通科技产业发展有限公司 | Optical fiber sensing intelligent addressing perimeter intrusion alarm system |
CN101916492A (en) * | 2010-08-10 | 2010-12-15 | 卢军翔 | Optical fiber intelligent sensor used in security system |
CN102243795A (en) * | 2011-03-29 | 2011-11-16 | 上海安数信息技术有限公司 | Intelligent optical fiber sensor applied to security systems |
Non-Patent Citations (2)
Title |
---|
基于分布式光纤传感的智能环境感知技术研究;王立;《中国博士学位论文全文数据库信息科技辑》;20081015;第5页倒数第1段,第17页图2.3,第18页第1段、图2.4,第26页倒数第1段,第28页-29页 * |
王立.基于分布式光纤传感的智能环境感知技术研究.《中国博士学位论文全文数据库信息科技辑》.2008, * |
Also Published As
Publication number | Publication date |
---|---|
CN102968868A (en) | 2013-03-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102968868B (en) | Fiber bragg grating perimeter intrusion behavior identification method and system based on time domain envelopment analysis | |
CN103345808A (en) | Fiber Bragg grating perimeter intrusion pattern recognition method and system | |
CN102129752B (en) | System for online monitoring and alarming artificial destruction of outdoor facilities | |
Barbosa et al. | Towards periodicity based anomaly detection in SCADA networks | |
CN202871003U (en) | Fiber Bragg grating perimeter intrusion alarm system based on time-domain envelope analysis | |
CN102521939B (en) | Alarm method of intrusion prevention system of fiber grating perimeter | |
CN205754358U (en) | A kind of aviation monitoring system | |
CN112907869B (en) | Intrusion detection system based on multiple sensing technologies | |
CN202750176U (en) | 3G wireless communication based remote video monitoring system | |
CN108848571B (en) | Rail transit safety monitoring system and monitoring method based on MEMS sensor | |
CN104900013A (en) | Mud-rock flow monitoring and alarming system based on infrasonic wave | |
CN206470893U (en) | Microseismic activity intruder detection system | |
CN105632059A (en) | Distributed optical fiber perimeter security system | |
WO2021211394A1 (en) | Continuous aerial cable monitoring using distributed acoustic sensing (das) and operation modal analysis (oma) | |
CN110108979A (en) | The recognition methods of transmission line lightning stroke flashover and non-flashover based on OPGW | |
CN106781152A (en) | A kind of fiber grating fence intrusion alarm detecting system and method | |
CN103957065A (en) | Full-time frequency spectrum monitoring method | |
CN204046720U (en) | A kind of safety monitoring system | |
CN203894890U (en) | U-shaped perimeter invasion detecting system of transformer station | |
CN110068747A (en) | A kind of transmission line lightning stroke flashover method of discrimination based on OPGW | |
CN112560673A (en) | Thunder detection method and system based on image recognition | |
CN103578231A (en) | Landslide and debris flow alarm system based on Internet of Things | |
CN111885020A (en) | Network attack behavior real-time capturing and monitoring system with distributed architecture | |
CN203882417U (en) | Alarm system for landslide and debris flow based on IOT (Internet of Things) | |
CN201514632U (en) | Portable multifunctional multi-channel acquisition identity identification device based on 3G network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |