CN102968868A - 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 PDF

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CN102968868A
CN102968868A CN2012104311547A CN201210431154A CN102968868A CN 102968868 A CN102968868 A CN 102968868A CN 2012104311547 A CN2012104311547 A CN 2012104311547A CN 201210431154 A CN201210431154 A CN 201210431154A CN 102968868 A CN102968868 A CN 102968868A
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signal
characteristic parameter
temporal envelope
time domain
value
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CN102968868B (en
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刘军荣
闫奇众
董雷
印新达
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Wuhan Ligong Guangke Co Ltd
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Wuhan Ligong Guangke Co Ltd
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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

Analyze fiber grating circumference intrusion behavior recognition methods and system based on temporal envelope
Technical field
The present invention relates to the 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
The circumference security protection refers at important area, such 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, form safety precaution along the place circumference; Guarantee in the defence area that personnel, property etc. are in protection and Guaranteed, limit for the behavior in turnover defence area, in case during the section that target is passed through by being under an embargo turnover defence area, can in time be found, and the accurate concrete position that occurs of prompting event; Can implement limited caution or strike to target in case of necessity.
Existing fiber grating circumference intrusion alarm system (CN101840615) mainly is that the size by Oscillation Amplitude judges whether to report to the police, and can't distinguish intrusion behavior and carry out corresponding warning according to intrusion behavior.Optical fiber perimeter intrusion system (CN101556724A) exists the location inaccurate simultaneously, the more high defective of rate of false alarm.
Summary of the invention
The technical problem to be solved in the present invention is for defective of the prior art, provides a kind of highly sensitive, and the system alarm performance is good, and lower the intrusion behavior recognition methods of fiber grating circumference and the system based on the temporal envelope analysis 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, may further comprise the 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.
The signal that intercepts is carried out pre-service, to reduce system noise to the impact of system;
To utilizing the Hilbert conversion to ask for the temporal envelope signal through pretreated signal;
Divide frame to the temporal envelope signal, and the temporal envelope signal of every frame is carried out the characteristic parameter extraction;
The pattern-recognition of vibrating behavior according to value and the predefined characteristic parameter threshold value of characteristic parameter;
If the value of characteristic parameter satisfies the alert if that sets in advance, generate warning message and send to interlocking equipment.
In the method for the present invention, describedly divide frame to be specially to the temporal envelope signal to adopt the sliding time window setting technique to divide frame.
In the method for the present invention, described characteristic parameter comprises energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient.
In the method for the present invention, described interlocking equipment comprises audible-visual annunciator and video monitoring system.
In the method for the present invention, this warning message of storage behind the generation 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 is used for receiving the extraneous vibration signal through the fiber Bragg grating (FBG) demodulator demodulation;
The signal interception module is used for intercepting the signal of set time length when the fluctuation of vibration signal and default mean value differ particular value.
Pretreatment module is used for the signal that intercepts is carried out pre-service, to reduce system noise to the impact of system;
The Hilbert conversion module is used for utilizing the Hilbert conversion to ask for the temporal envelope signal through pretreated signal;
The characteristic parameter extraction module is used for dividing frame to the temporal envelope signal, and the temporal envelope signal of every frame is carried out the characteristic parameter extraction;
Pattern recognition module is used for the pattern-recognition of vibrating behavior according to value and the predefined characteristic parameter threshold value of characteristic parameter;
Reporting to the police generates and sending module, is used for generating warning message and sending to interlocking equipment when the value of characteristic parameter satisfies the alert if that sets in advance.
In the recognition system of the present invention, described signal interception module specifically is used for adopting the sliding time window setting technique to divide frame.
In the 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 the temporal envelope analyzing and processing to the circumference invasion signal after demodulation that receives, comprise that signal intercepting, Signal Pretreatment, signal envelope are asked for and the extraction of envelope characteristic parameter, model distinguishing and generation warning message and send to interlocking equipment, form recognition system according to the method, the fiber grating circumference intrusion alarm system that comprises this recognition system is highly sensitive, anti-environment capacity is strong, the system alarm performance is good, and rate of false alarm is low.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is that the embodiment of the invention is based on the process flow diagram of the fiber grating circumference intrusion behavior recognition methods of 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 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 invention;
Fig. 2 C is the time domain waveform figure of the vibration signal that artificial invasion causes under the wind and rain environment of certain actual measurement of the embodiment of the invention;
Fig. 3 A is the temporal envelope oscillogram of the vibration signal that causes of the artificial invasion of the embodiment of the 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 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 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 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 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 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 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 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 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 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 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 invention certain actual measurement of extracting;
Fig. 5 A is the temporal envelope signal graph of the vibration signal that artificial invasion causes under the wind and rain environment of the embodiment of the invention certain actual measurement of extracting;
Fig. 5 B is the time domain waveform figure of the energy factors of the vibration signal that artificial invasion causes under the wind and rain environment of the embodiment of the invention certain actual measurement of extracting;
Fig. 5 C is the time domain waveform figure of the energy gradient of the vibration signal that artificial invasion causes under the wind and rain environment of the embodiment of the invention certain actual measurement of extracting;
Fig. 5 D is the nargin coefficient time domain waveform figure of the vibration signal that artificial invasion causes under the wind and rain environment of the embodiment of the invention certain actual measurement of extracting;
Fig. 5 E is the Lipschitz constant time domain waveform figure of the vibration signal that artificial invasion causes under the wind and rain environment of the embodiment of the invention certain actual measurement of extracting;
Fig. 5 F is the kurtosis coefficient time domain waveform figure of the vibration signal that artificial invasion causes under the wind and rain environment of the embodiment of the invention certain actual measurement of extracting;
Fig. 6 is that the embodiment of the invention is based on the structural representation of the fiber grating circumference intrusion behavior recognition system of temporal envelope analysis;
Fig. 7 is the fiber grating circumference intrusion alarm system structural representation that the embodiment of the invention is analyzed based on temporal envelope.
Embodiment
In order to make purpose 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 invention is analyzed based on temporal envelope is mainly finished by fiber grating circumference intrusion behavior recognition system, may further comprise the steps:
S101, recognition system receive the extraneous vibration signal through the 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 vibration signal of artificial intrusion behavior optical fiber raster vibration signal, the wind and rain environment of actual measurement and the wind and rain environment, and its time domain waveform is respectively 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 the signal that intercepts, to reduce system noise to the impact of system; Be mainly the data according to intercepting, remove the signal averaging amount, reduce system noise to the impact of system signal noise ratio.The time of minimizing system deal with data, improve system's operation efficiency.Remove the DC quantity of signal, non-linear because of vibration signal, non-stationary, pretreated purpose as much as possible filtering noise is got rid of and is disturbed, for example interference that causes of the variation of environment temperature.
S104, to utilizing the Hilbert(Hilbert through pretreated signal) conversion asks for the temporal envelope signal, also can make characteristic pattern.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, divide frame to the temporal envelope signal, and the temporal envelope signal of every frame is carried out characteristic parameter extract;
In one embodiment of the invention, dividing frame to be specially to the temporal envelope signal adopts the sliding time window setting technique to divide frame.Vibration signal envelope signal according to the intrusion behavior under the artificial intrusion behavior, wind and rain environment and the wind and rain environment that extract causes obtains the characteristic parameter under different intrusion behaviors, 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 on these time domains has reflected from different aspects and character and the feature of envelope has 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 center, normalized 4 rank square. In the formula: x iBe signal value, Be the signal average; N is sampling length; δ tBe standard deviation.
(4) nargin coefficient: the degree of its physical significance reactive system stability. x pBe peak value, x rBe the 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, the pattern-recognition of vibrating behavior according to value and the predefined characteristic parameter threshold value of characteristic parameter;
There is obvious difference in envelope signal at characteristic parameters such as energy factors, energy gradient, nargin coefficient, Lipschitz constant, kurtosis coefficients, can carry out pattern-recognition by the mode of setting the characteristic parameter threshold value.Utilize the experimental data of artificial invasion, it is as shown in table 1 below to extract characteristic parameter:
Table 1 characteristic parameter
Utilizing the characteristic parameter setting threshold of table 1 envelope artificially to invade and the wind and rain pattern-recognition, then is artificial intrusion behavior greater than threshold value, then is the wind and rain environmental factor less than threshold value.Concrete experimental 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 can effectively prevent the mistake identification of the intrusion behavior under the wind and rain environment according to analysis result.
Shown in Fig. 5 A-5F, the resulting signal characteristic parameter of processing of the vibration signal that intrusion behavior under the wind and rain environment is caused all satisfies the pattern-recognition that system thresholds can be carried out behavior.
If the value of S107 characteristic parameter satisfies the alert if that sets 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, this warning message of storage after generating warning message is so that carry out historical query.
As shown in Figure 6, the fiber grating circumference intrusion behavior recognition system that the embodiment of the invention is analyzed based on temporal envelope can realize the above recognition methods of embodiment, specifically comprises:
Receiver module 61 is used for receiving the extraneous vibration signal through the fiber Bragg grating (FBG) demodulator demodulation;
Signal interception module 62 is used for intercepting the signal of set time length when the fluctuation of vibration signal and default mean value differ particular value.
Pretreatment module 63 is used for the signal that intercepts is carried out pre-service, to reduce system noise to the impact of system;
Hilbert conversion module 64 is used for utilizing the Hilbert conversion to ask for the temporal envelope signal through pretreated signal;
Characteristic parameter extraction module 65 is used for dividing frame to the temporal envelope signal, and the temporal envelope signal of every frame is carried out the characteristic parameter extraction; Characteristic parameter can comprise energy factors, energy gradient, Lipschitz constant, nargin coefficient and kurtosis coefficient etc.
Pattern recognition module 66 is used for the pattern-recognition of vibrating behavior according to value and the predefined characteristic parameter threshold value of characteristic parameter;
Reporting to the police generates and sending module 67, is used for generating warning message and sending to interlocking equipment when the value of characteristic parameter satisfies the alert if that sets in advance.Interlocking equipment comprises audible-visual annunciator and video monitoring system.
Further, in embodiments of the present invention, the signal interception module 62 concrete employing sliding time window setting techniques that are used for divide frame.
As shown in Figure 7, the fiber grating circumference intrusion alarm system that the embodiment of the 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, does not give unnecessary details one by one at this.
Optical fiber raster vibration detecting optical cable 10 specifically is comprised of by 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 mainly is the transmission lightwave signal, and conduct vibrations equipment is for conduction vibration, even extraneous vibration is not to act on the 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 mainly is fiber Bragg grating (FBG) demodulator, but its maximum 32 passages of load, and it is transmitted through the network to signal analysis and processing system 40 after demodulating the 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 conversion, 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, may further comprise the 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;
The signal that intercepts is carried out pre-service, to reduce system noise to the impact of system;
To utilizing the Hilbert conversion to ask for the temporal envelope signal through pretreated signal;
Divide frame to the temporal envelope signal, and the temporal envelope signal of every frame is carried out the characteristic parameter extraction;
The pattern-recognition of vibrating behavior according to value and the predefined characteristic parameter threshold value of characteristic parameter;
If the value of characteristic parameter satisfies the alert if that sets in advance, generate warning message and send to interlocking equipment.
2. method according to claim 1 is characterized in that, describedly divides frame to be specially to the temporal envelope signal to adopt the 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, this warning message of storage behind the generation warning message.
6. a fiber grating circumference intrusion behavior recognition system of analyzing based on temporal envelope is characterized in that, comprising:
Receiver module is used for receiving the extraneous vibration signal through the fiber Bragg grating (FBG) demodulator demodulation;
The signal interception module is used for intercepting the signal of set time length when the fluctuation of vibration signal and default mean value differ particular value;
Pretreatment module is used for the signal that intercepts is carried out pre-service, to reduce system noise to the impact of system;
The Hilbert conversion module is used for utilizing the Hilbert conversion to ask for the temporal envelope signal through pretreated signal;
The characteristic parameter extraction module is used for dividing frame to the temporal envelope signal, and the temporal envelope signal of every frame is carried out the characteristic parameter extraction;
Pattern recognition module is used for the pattern-recognition of vibrating behavior according to value and the predefined characteristic parameter threshold value of characteristic parameter;
Reporting to the police generates and sending module, is used for generating warning message and sending to interlocking equipment when the value of characteristic parameter satisfies the alert if that sets in advance.
7. recognition system according to claim 6 is characterized in that, described signal interception module specifically is used for adopting the 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.
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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
CN104766099A (en) * 2015-05-05 2015-07-08 武汉理工光科股份有限公司 Distributed optical fiber circumference vibration signal processing and recognizing method 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
CN105469523A (en) * 2015-12-30 2016-04-06 杭州安远科技有限公司 Wind and rain interference resistant optical fiber perimeter protection method
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CN106597049A (en) * 2016-12-15 2017-04-26 电子科技大学 Multi-waveform envelope extraction method based on chain table 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
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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
CN109374116A (en) * 2018-12-07 2019-02-22 武汉理工光科股份有限公司 The excavation Activity recognition method of buried Fibre Optical Sensor vibration-detection system
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CN103345808A (en) * 2013-06-26 2013-10-09 武汉理工光科股份有限公司 Fiber Bragg grating perimeter intrusion pattern recognition method 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
CN104766099A (en) * 2015-05-05 2015-07-08 武汉理工光科股份有限公司 Distributed optical fiber circumference vibration signal processing and recognizing method 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
CN105469523A (en) * 2015-12-30 2016-04-06 杭州安远科技有限公司 Wind and rain interference resistant optical fiber perimeter protection method
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
CN106597049A (en) * 2016-12-15 2017-04-26 电子科技大学 Multi-waveform envelope extraction method based on chain table array
CN106597049B (en) * 2016-12-15 2019-01-25 电子科技大学 Several waveform envelope extracting methods based on linked list array
CN106706109A (en) * 2016-12-15 2017-05-24 北方工业大学 Method and system for identifying vibration source based on two-dimensional characteristics of time domain
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
CN108257364A (en) * 2017-12-29 2018-07-06 北京航天控制仪器研究所 A kind of method for improving distributed optical fiber sensing system alarm reliability
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
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