CN101236682A - Dip angle sensor constitutive sensor network rail invasion-proof detection method - Google Patents
Dip angle sensor constitutive sensor network rail invasion-proof detection method Download PDFInfo
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- CN101236682A CN101236682A CNA200810060040XA CN200810060040A CN101236682A CN 101236682 A CN101236682 A CN 101236682A CN A200810060040X A CNA200810060040X A CN A200810060040XA CN 200810060040 A CN200810060040 A CN 200810060040A CN 101236682 A CN101236682 A CN 101236682A
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- obliquity sensor
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Abstract
The present invention provides a method of using a sensor network formed by a tilt angle sensor for fence intrusion detection. The tilt angle sensor is fixed on the upper part of a fence, and when a target implements intrusion action to the fence, the fence produces irregular shake differed from natural swing, changing the signals output by the tilt angle sensor. A certain software/hardware signal processing method and a signal processing method are used to detect the intrusion action of the target, and the typical intrusion action of the target can be classified.
Description
Technical field
The present invention relates to a kind of invasion-proof detection method, particularly use obliquity sensor to constitute the fence invasion-proof detection method of sensor network.
Background technology
Existing anti-intrusion detection means mainly contain active infrared line detection technique, passive infrared line detection technique, microwave radar detection technique, induction cable detection technique, vibrations cable detection technology, vibrations optical fiber detection technique, video detection technology, shock detection technology, tension force fence detection technique etc.These technology respectively have relative merits, and different anti-intrusion systems can select to be fit to the detection means of the combination of certain on-the-spot detection technique or certain several detection technique as system according to the characteristics of field condition.
Summary of the invention
The invention provides a kind of obliquity sensor that uses and constitute sensor network as the method that the fence intrusion behavior is detected.
Technical scheme of the present invention comprises obliquity sensor, fence at least, and obliquity sensor is installed on the fence, and fence produces tilt response to intrusion behavior, and the sensor network that this tilt response can be made of obliquity sensor effectively detects.
When target is implemented intrusion behavior to fence, fence produces and is different from the irregular inclination that nature waves, cause the signal of obliquity sensor output to change, use certain software and hardware signal processing method and information processing method that the output signal of obliquity sensor is handled, detect the intrusion behavior of target, and can classify the typical intrusion behavior of target.
Obliquity sensor formation sensor network cooperates with fence among the present invention, the common detection that realizes the fence intrusion behavior.Fence is not limit material, shape, structure and color, but will produce tilt response to intrusion behavior, and this tilt response can effectively be detected by the sensor network that obliquity sensor constitutes.
Obliquity sensor constitutes sensor network can adopt several different methods with combining of fence, is fixed in the appropriate location of building up fence etc. as obliquity sensor.
At the information processing method of obliquity sensor output signal, comprise the time-domain information disposal route and the signal frequency-domain information processing method of signal, and the information processing method of the time-frequency domain combination of signal.
The present invention is applied to the sensor network that obliquity sensor constitutes in the intruding detection system of fence, detection means as the fence invasion, its advantage is that this method can not be subjected to the influence of physical environments such as sleet, light, temperature, visibility, and can adapt to the influence that weather conditions such as wind-force, wind direction cause by suitable information processing method automatically.It is also advantageous in that and can the intrusion behavior of animal and artificial invasion be classified by information processing method, artificial intrusion behavior can also be divided into bump, cut, knock, rock, behavior such as climbing.
Description of drawings:
Fig. 1 is installed on the schematic side view of fence for obliquity sensor.
Fig. 2 is the implementation method synoptic diagram that every fan fence is installed an obliquity sensor.
Fig. 3 is the implementation method synoptic diagram that many fan fences are installed an obliquity sensor.
Embodiment:
Below in conjunction with drawings and Examples to the present invention is described in further detail.
As shown in the figure, the present invention comprises obliquity sensor, fence at least, and obliquity sensor is installed on the fence, and fence produces tilt response to intrusion behavior, and the sensor network that this tilt response can be made of obliquity sensor effectively detects.
When target is implemented intrusion behavior to fence, fence produces and is different from the irregular inclination that nature waves, the sensor network that obliquity sensor constitutes can produce tilt response to the fence intrusion behavior, this tilt response is effectively detected by obliquity sensor, and be converted to electric signal, handle through signal processing circuit, be transferred in the processor of system, signal handler and messaging software that the system processor operation is compiled in advance, extract the characteristic information of fence intrusion behavior, judge whether there is invasion in the fence scope, and intrusion behavior is carried out the typicalness classification.
Obliquity sensor formation sensor network cooperates with fence among the present invention, the common detection that realizes the fence intrusion behavior.Fence is not limit material, shape, structure and color, but will produce tilt response to intrusion behavior, and this tilt response can effectively be detected by the sensor network that obliquity sensor constitutes.
Obliquity sensor constitutes sensor network can adopt multiple mode with combining of fence, can in the process of fence production obliquity sensor be integrated on the fence, can lay on the good fence obliquity sensor suitably not highly and stationkeeping.
The obliquity sensor that uses among the present invention only requires that situation that sensor rocks fence provides the accurate expression of inclined degree in real time, to type of sensor without limits.To the interface mode of sensor and signal output interface also without limits.
Claims (4)
1, a kind of sensor network fence invasion-proof detection method of obliquity sensor formation, it is characterized in that comprising at least obliquity sensor, fence, obliquity sensor is installed on the fence, fence produces tilt response to intrusion behavior, and the sensor network that this tilt response can be made of obliquity sensor effectively detects.
2, the sensor network fence invasion-proof detection method that constitutes of obliquity sensor according to claim 1 is characterized in that fence itself do not limit material, shape, structure and color and other feature.
3, the sensor network fence invasion-proof detection method that constitutes of obliquity sensor according to claim 1 is characterized in that type of sensor do not limit, and the interface mode and the signal output interface of sensor are not limit yet.
4, the sensor network fence invasion-proof detection method of obliquity sensor formation according to claim 1, it is characterized in that comprising information processing method to the described sensor network output signal that constitutes at obliquity sensor, information processing method comprises time-domain information disposal route, the signal frequency-domain information processing method of signal, and the information processing method of the time-domain and frequency-domain combination of signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200810060040XA CN101236682A (en) | 2008-03-05 | 2008-03-05 | Dip angle sensor constitutive sensor network rail invasion-proof detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200810060040XA CN101236682A (en) | 2008-03-05 | 2008-03-05 | Dip angle sensor constitutive sensor network rail invasion-proof detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101236682A true CN101236682A (en) | 2008-08-06 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA200810060040XA Pending CN101236682A (en) | 2008-03-05 | 2008-03-05 | Dip angle sensor constitutive sensor network rail invasion-proof detection method |
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| CN (1) | CN101236682A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254388A (en) * | 2011-05-31 | 2011-11-23 | 中国科学院上海微系统与信息技术研究所 | Fence anti-invading wireless sensor network system |
| CN107862820A (en) * | 2017-11-03 | 2018-03-30 | 王蓓 | A kind of perimeter alarm system |
-
2008
- 2008-03-05 CN CNA200810060040XA patent/CN101236682A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254388A (en) * | 2011-05-31 | 2011-11-23 | 中国科学院上海微系统与信息技术研究所 | Fence anti-invading wireless sensor network system |
| CN102254388B (en) * | 2011-05-31 | 2013-05-15 | 中国科学院上海微系统与信息技术研究所 | Fence anti-invading wireless sensor network system |
| CN107862820A (en) * | 2017-11-03 | 2018-03-30 | 王蓓 | A kind of perimeter alarm system |
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Owner name: CAS JIAXING WIRELESS SENSOR NETWORK ENGINEERING CE Free format text: FORMER OWNER: CAS JIAXING CENTER MICROSYSTEMS INTITUTE BRANCH CENTER Effective date: 20100129 |
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Effective date of registration: 20100129 Address after: 2, building 1, No. 778 Asia Pacific Road, Nanhu District, Zhejiang, Jiaxing Province, China: 314000 Applicant after: Jiaxing Wireless Sensor Network Engineering Center, Chinese Academy of Sciences Address before: A, building four, block JRC, Asia Pacific Road, Nanhu District, Zhejiang City, Jiaxing Province, China: 314000 Applicant before: Microsystem Inst. Branch Center, Jiaxing Center, CAS |
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Open date: 20080806 |