CN103605951A - Novel behavior characteristic identification algorithm for vibration intrusion detection - Google Patents
Novel behavior characteristic identification algorithm for vibration intrusion detection Download PDFInfo
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- CN103605951A CN103605951A CN201310410322.9A CN201310410322A CN103605951A CN 103605951 A CN103605951 A CN 103605951A CN 201310410322 A CN201310410322 A CN 201310410322A CN 103605951 A CN103605951 A CN 103605951A
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Abstract
The invention relates to a novel behavior characteristic identification algorithm for vibration intrusion detection, the technology is applied to the technical fields of perimeter security, microcomputers, electronic security intrusion-prevention, sensor detection and the like. A vector space similarity algorithm is employed, original signal vector space output by a vibration detector is compared with intrusion characteristic behavior template vector space, and the similarity between the original signal vector space and the invasion characteristic behavior template vector space is output, characteristic behaviors and confidence probability thereof are output in dependence on a set rule. The algorithm formula is shown in a figure. By employing the algorithm provided by the scheme, the oneness of traditional vibration intrusion detection or the adaptability of a combined threshold value algorithm is greatly improved, intrusion behaviors such as bumping, shaking, climbing and the like can be accurately determined, and the confidence probability is directly given, and therefore during subsequent alarm processing, corresponding treatment measures are taken on the basis of different intrusion behaviors and the confidence probability, the intelligent level of intrusion detection is improved. Requirements of the novel behavior characteristic identification algorithm on hardware of a detection system is not high, the novel behavior characteristic identification algorithm is simple, and easy to implement and good in practicality.
Description
Technical field
The anti-invasion sensor measuring of circumference security protection microcomputer electronics security protection
Technical background
1. prior art situation
Vibration invading detector has been widely used in the protection of the key areas such as airport, prison, petrochemical industry, nuclear power, military affairs.Vibrating intruding is surveyed the multiple technology that realizes that exists, the vibration detecting technology of main flow is vibration optical fiber and acceleration transducer in the market, these technology are all by gathering the vibration signal on fence and passing through the analysis of vibration signal to generate intrusion alarm signal, and wherein intrusion behavior analytical algorithm is the key content that vibrating intruding of judgement is surveyed properties of product quality.Vibrating intruding probe algorithm generally adopts single threshold or associating threshold decision method at present, facts have proved that this kind of method both cannot provide concrete intrusion behavior, also cannot provide the fiducial probability of break alarm, therefore about invasion evaluation algorithm, have larger room for improvement.
2. the technical issues that need to address
The vibrational waveform that the original signal of vibration invading detector output is discrete form, and the variable memory that can be derived from by original signal time series by amplitude, wavelength, energy, zero-crossing rate etc. defines and describes.The threshold decision method generally adopting is at present carried out logical operation and is exported invasion alerting signal by choosing one or more derived variables and its setting threshold.Although threshold decision method is simple and feasible, but this algorithm cannot accurately be identified invader's intrusion behavior and cannot provide intrusion alarm fiducial probability, and then possible cause and the event level of intrusion alarm cannot be reasonably set, be unfavorable for follow-up alarm treatment, therefore need to design a kind of simple and feasible algorithm that can accurately identify intrusion behavior, improve the intelligent level that vibrating intruding is surveyed.
3. in-problem reason
Vibration invading detector is generally laid in metal fence, relies on the vibration in perception metal fence to carry out detecting intrusion behavior.It is mainly fence elasticity that the sensitivity of vibration detector depends on technology fence physical characteristics, and in Practical Project, metal fence specification and physical characteristics differ, and therefore require vibrating intruding probe algorithm to possess very strong adaptability.Above-mentioned algorithm attempts to solve by regulated variable threshold value the adaptability problem of algorithm, due to how threshold value is set, lacks governing principle and concrete foundation, and the setting of threshold value is often unreasonable.Because associating threshold decision algorithm itself does not seal, cannot cover all possible states in addition, cause the probability of intrusion behavior erroneous judgement higher.
Summary of the invention
Adopt vector space similarity algorithm to differentiate typical intrusion behavior, technical solution of the present invention adopts vector space similarity algorithm, compared in the original signal vector space of vibration detector output and invasion characteristic behavior template vector space, export both similarities and according to regular output characteristic behavior and the fiducial probability thereof set.
Accompanying drawing explanation
Fig. 1 is algorithm publicity figure of the present invention
Fig. 2 is three kinds of oscillograms of intrusion behavior in algorithm of the present invention
Embodiment
Foregoing invention software is embedded in vibration detector chip, makes vibration detector have the recognition technology of above-mentioned intelligent intrusion behavior.
Claims (1)
1. adopt vector space similarity algorithm to differentiate typical intrusion behavior, can effectively improve traditional intrusion detection and only provide and whether invade but lack the problem of alarm details such as possible cause, fiducial probability, alarm level.Key problem in technology point of the present invention is to adopt vibration detector original signal the amount vector space forming and the feature templates vector space dynamically generating to carry out the calculating of vector similarity, can identify shocks, rocks, 3 kinds of typical intrusion behaviors such as climbing also directly provide similarity value; The preconditioning technique that coordinates original signal vector space, can significantly reduce vector space length, improves algorithm computing velocity, reduces the requirement to detection system hardware, reduces the cost that algorithm is realized.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310410322.9A CN103605951A (en) | 2013-09-11 | 2013-09-11 | Novel behavior characteristic identification algorithm for vibration intrusion detection |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310410322.9A CN103605951A (en) | 2013-09-11 | 2013-09-11 | Novel behavior characteristic identification algorithm for vibration intrusion detection |
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| CN103605951A true CN103605951A (en) | 2014-02-26 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512994A (en) * | 2016-01-04 | 2016-04-20 | 浙江大学 | Fault-tolerant perimeter intruder detection method |
| WO2019010798A1 (en) * | 2017-07-14 | 2019-01-17 | 深圳市盛路物联通讯技术有限公司 | Internet of things-based confined-space security control method and related product |
| CN112907869A (en) * | 2021-03-17 | 2021-06-04 | 四川通信科研规划设计有限责任公司 | Intrusion detection system based on multiple sensing technologies |
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| CN102663032A (en) * | 2012-03-26 | 2012-09-12 | 电子科技大学 | Fiber grating fence invasion event mode recognition method |
| CN103198605A (en) * | 2013-03-11 | 2013-07-10 | 成都百威讯科技有限责任公司 | Indoor emergent abnormal event alarm system |
| 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 |
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2013
- 2013-09-11 CN CN201310410322.9A patent/CN103605951A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090195382A1 (en) * | 2008-01-31 | 2009-08-06 | Sensormatic Electronics Corporation | Video sensor and alarm system and method with object and event classification |
| CN102346948A (en) * | 2011-09-07 | 2012-02-08 | 无锡国科微纳传感网科技有限公司 | Circumference invasion detection method and system |
| CN102663032A (en) * | 2012-03-26 | 2012-09-12 | 电子科技大学 | Fiber grating fence invasion event mode recognition method |
| CN103198605A (en) * | 2013-03-11 | 2013-07-10 | 成都百威讯科技有限责任公司 | Indoor emergent abnormal event alarm system |
| 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 |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512994A (en) * | 2016-01-04 | 2016-04-20 | 浙江大学 | Fault-tolerant perimeter intruder detection method |
| CN105512994B (en) * | 2016-01-04 | 2019-10-25 | 浙江大学 | A kind of fault tolerant perimeter intrusion detecting method |
| WO2019010798A1 (en) * | 2017-07-14 | 2019-01-17 | 深圳市盛路物联通讯技术有限公司 | Internet of things-based confined-space security control method and related product |
| CN112907869A (en) * | 2021-03-17 | 2021-06-04 | 四川通信科研规划设计有限责任公司 | Intrusion detection system based on multiple sensing technologies |
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Application publication date: 20140226 |
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