Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Signal characteristic recognition method for pedestrian intrusion into optical fiber fence

A technology of signal features and identification methods, applied in the field of pedestrian intrusion signal feature identification, can solve the problem of not seeing human intrusion behavior identification methods, etc., and achieve the effect of eliminating random external interference and accurate alarming.

Inactive Publication Date: 2009-07-22
SHANGHAI UNIV
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there is no research on the identification method of human intrusion behavior

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Signal characteristic recognition method for pedestrian intrusion into optical fiber fence
  • Signal characteristic recognition method for pedestrian intrusion into optical fiber fence
  • Signal characteristic recognition method for pedestrian intrusion into optical fiber fence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] Embodiment one: see figure 1 , figure 2 with image 3 . In this example, the linear Sagnac interferometer fiber optic fence system is selected, and its structure is as follows figure 1 shown. The broadband light source 1 is replaced by the spontaneous emission of the SOA module (SOA1550MRI-XI1500) of OptoSpeed ​​Company. The circulator 2 is a three-port circulator produced by Shanghai Hanyu Company. The two couplers 3 are 2X2 couplers produced by Shanghai Hanyu Company, with a splitting ratio of 50:50. The polarization controller 7 is an optical fiber squeezer with the model number PLC-001 from General Photonics, USA. The Faraday reflector 4 is a 1550nm Faraday reflector produced by Tianjin Junfeng Technology Co., Ltd. The photoelectric detector 9 is a PIN-TIA detector produced by Shenzhen Feitong Company. The oscilloscope 8 adopts the digital phosphor oscilloscope TDS3012 of American Tektronix Company. Both the delay fiber 6 and the sensing fiber 5 use G.652 ...

Embodiment 2

[0018] Embodiment two: see Figure 4 -Figure 5. This example selects the optical fiber fence structure based on the phase-sensitive optical time domain reflection technology used by Juan C.Juarez et al. in the United States to use the optical cable buried in the sand, such as Figure 4 As shown, the symbols in the figure represent: 3—optical fiber coupler, 9—photoelectric detector, 10—continuous light source, 11—pulse light modulator, 12—erbium-doped fiber amplifier, 13—intruder, 14—ground, 15—buried optical cable, 16—signal processing system. The measurement results of simulated pedestrian intrusion are shown in Fig. 5. Although the techniques used in Example 2 and Example 1 are different, Example 1 uses Sagnac interference technology, while Example 2 uses phase-sensitive optical time domain reflectometry; the people tested are different, Example 1 is Chinese, and Example 2 is American; the ground material is different , Example 1 is a wooden floor, while Example 2 is sand...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a passenger invading signal character identifying method in an optical fiber crawl. In the method, the walking morphological feature of people is used to identify whether the signal detected by an optical fiber crawl system is aroused by artificial invasion. The walking morphological feature of people is the walking gait cycle of people; the average value thereof is 1.2 seconds; the average stepping period of people during walking is 0.6 second; wherein, the time for the feet to contact the ground is about 0.2 second; while the time for the feet to leave the ground is about 0.4 second. If the sensor change aroused by one perturbation appears in an average period of 0.5 to 0.7 second, and the continuing time is 0.2 to 0.3 second in average, then the perturbation is judged to be a passenger invasion, which can be realized by carrying out self correlation calculation on the output signal of the optical fiber crawl system; the peak period of a self correlation curve is the period of an invasion signal; the continuing time of a self-correlation peak is the continuing time of a vibration signal aroused by contact of the feet of an invader with the ground.

Description

technical field [0001] The invention relates to a signal feature recognition method, in particular to a pedestrian intrusion signal feature recognition method suitable for optical fiber fences. Background technique [0002] Recently, due to the need for security defense of important places such as borders, power plants, and nuclear power plants, the development of optical fiber intrusion detection and positioning systems, that is, optical fiber fences, has attracted more and more attention. From the simple detection of cut optical fiber in the past, to the detection and accurate positioning of slight intrusions, and the elimination of false alarms caused by the environment, etc., all reflect the development potential of optical fiber intrusion detection and positioning technology and its impact on The importance of protecting people's property and life safety. But there is no research on the identification method of human intrusion. Invention content: [0003] The purpos...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G08B13/00G08B13/18G01H9/00
Inventor 方捻王陆唐贾东建黄肇明单超
Owner SHANGHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products