CN106051468A - Alarm model analytical algorithm of distributive type optical fiber pipe safety early-warning system - Google Patents
Alarm model analytical algorithm of distributive type optical fiber pipe safety early-warning system Download PDFInfo
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- CN106051468A CN106051468A CN201610399539.8A CN201610399539A CN106051468A CN 106051468 A CN106051468 A CN 106051468A CN 201610399539 A CN201610399539 A CN 201610399539A CN 106051468 A CN106051468 A CN 106051468A
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- alarm
- vibration
- vibration signal
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an alarm model analytical algorithm of a distributive type optical fiber pipe safety early-warning system. According to the algorithm, firstly, data collection is conducted on all behaviors through the system; the characteristic parameter range, including the spatial scale, signal intensity and the frequency, corresponding to each behavior is determined; and each event behavior sample is established, and thus a characteristic identification library is established. Subsequently, a pipe side vibration curve is collected through the system; then the number of vibration signals and locating information of several recent cycles are analyzed; spatial scale, intensity and frequency information of each vibration signal waveform is analyzed and extracted; the extracted parameter information is compared with the characteristic identification library; the vibration signals conforming to the event behavior samples are selected; the vibration signals which need no alarm such as automobile passing are filtered out; and the vibration signals which meet the alarm demand are subjected to alarm display, and the model type of each vibration signal is identified. By means of the algorithm based on combination of the spatial scale, signal intensity and the frequency of vibration information, accuracy of analysis conducted on multiple models can be improved; the alarm accuracy rate is increased; and misinformation of the system is reduced.
Description
Technical field
The present invention relates to the alarm mode parser of a kind of distributed type optical fibre pipeline safe early-warning system.
Background technology
The safety of distributed optical fiber pipeline is the breakage in installation that a very important factor, early warning and targeted duct are along the line
Or artificial to excavate the behaviors such as stolen be a most urgent thing, wherein, for needing the Near Pipelines of detection alarm to construct
The environmental disturbances etc. such as the automobile that behavior, hand digging behavior and needs filter passes through, animal process, heavy rain landing, various modes
Analyze to identify it is emphasis and the difficult point of system software analysis.Divide accurately so distributed optical fiber pipeline is carried out one
Analysis, guarantee is effectively reported to the police, and the very first time can view problem condition, currently there are no corresponding this of a parser and is
System, so needing Austria improve this and improve.
Summary of the invention
For solving the problems referred to above, the present invention proposes the alarm mode of a kind of distributed type optical fibre pipeline safe early-warning system and divides
Analysis algorithm.
The alarm mode parser of a kind of distributed type optical fibre pipeline safe early-warning system, system is first carried out for each behavior
Data acquisition, confirms each behavior characteristic of correspondence parameter area, including space scale, signal intensity and frequency, sets up each event
Behavior sample, thus set up feature identification storehouse；Then system acquisition is to pipeline oscillating curve along the line, then analyzes in nearly several cycle
Vibration signal quantity and location information, analyze extract the space scale of each vibration signal waveforms, intensity, frequency information, will carry
The parameter information taken out and the comparison of feature identification storehouse, select the vibration signal meeting event behavior sample, filter out automobile and pass through
Etc. being not required to the vibration signal reported to the police, the vibration signal meeting needs of reporting to the police is carried out alarm indicator, and identifies its pattern class.
Compared with prior art, it has the advantages that the distributed optical fiber pipeline safety of the present invention to the present invention
The alarm mode parser of early warning system, when coming into operation, gathers space scale, signal intensity and frequency etc., sets up each thing
Part behavior sample, thus set up feature identification storehouse, signal is screened, selects suitable information, report the most accurately
Alert action, the algorithm combined according to vibration information space scale, signal intensity and frequency, can improve the standard analyzing various modes
Exactness, promotes the accuracy rate reported to the police, and reduces system wrong report.
Detailed description of the invention
First embodiment, system first carries out data acquisition for each behavior, confirms each behavior characteristic of correspondence parameter area,
Including space scale, signal intensity and frequency, set up each event behavior sample, thus set up feature identification storehouse；Then system is adopted
Collection is to pipeline oscillating curve along the line, then analyzes the vibration signal quantity in nearly several cycle and location information, analyzes to extract and respectively shakes
The dynamic space scale of signal waveform, intensity, frequency information, parameter information and the comparison of feature identification storehouse that will extract, select symbol
The vibration signal of conjunction event behavior sample, filters out the vibration signal that automobile passes through etc. to be not required to reporting to the police, to meeting needs of reporting to the police
Vibration signal carries out alarm indicator, and identifies its pattern class.
Compared with prior art, it has the advantages that the distributed optical fiber pipeline safety of the present invention to the present invention
The alarm mode parser of early warning system, when coming into operation, gathers space scale, signal intensity and frequency etc., sets up each thing
Part behavior sample, thus set up feature identification storehouse, signal is screened, selects suitable information, report the most accurately
Alert action, the algorithm combined according to vibration information space scale, signal intensity and frequency, can improve the standard analyzing various modes
Exactness, promotes the accuracy rate reported to the police, and reduces system wrong report.
Embodiment described above is only to be described the preferred embodiment of the present invention, the not structure to the present invention
Think and scope is defined.On the premise of without departing from design concept of the present invention, this area ordinary person technology to the present invention
Various modification that scheme is made and improvement, all should drop into protection scope of the present invention, the technology contents that the present invention is claimed,
All record in detail in the claims.
Claims (1)
1. the alarm mode parser of a distributed type optical fibre pipeline safe early-warning system, it is characterised in that: system first for
Each behavior carries out data acquisition, confirms each behavior characteristic of correspondence parameter area, including space scale, signal intensity and frequency,
Set up each event behavior sample, thus set up feature identification storehouse；Then system acquisition is to pipeline oscillating curve along the line, then analyzes near
Vibration signal quantity in several cycles and location information, analyze and extract the space scale of each vibration signal waveforms, intensity, frequency
Information, parameter information and the comparison of feature identification storehouse that will extract, select the vibration signal meeting event behavior sample, filter out
Automobile such as passes through at the vibration signal being not required to report to the police, and the vibration signal meeting needs of reporting to the police is carried out alarm indicator, and identifies its mould
Formula classification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610399539.8A CN106051468A (en) | 2016-06-08 | 2016-06-08 | Alarm model analytical algorithm of distributive type optical fiber pipe safety early-warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610399539.8A CN106051468A (en) | 2016-06-08 | 2016-06-08 | Alarm model analytical algorithm of distributive type optical fiber pipe safety early-warning system |
Publications (1)
| Publication Number | Publication Date |
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| CN106051468A true CN106051468A (en) | 2016-10-26 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN201610399539.8A Pending CN106051468A (en) | 2016-06-08 | 2016-06-08 | Alarm model analytical algorithm of distributive type optical fiber pipe safety early-warning system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108182776A (en) * | 2017-12-28 | 2018-06-19 | 无锡联河光子技术有限公司 | A kind of alarm mode analysis method of distributed optical fiber fence safety pre-warning system |
| CN112071009A (en) * | 2019-06-11 | 2020-12-11 | 中国石油化工股份有限公司 | Optical fiber pipeline early warning system and method thereof |
| CN113531399A (en) * | 2020-04-16 | 2021-10-22 | 中国石油天然气股份有限公司 | Pipeline monitoring method, pipeline monitoring device, computer equipment and storage medium |
| CN113532619A (en) * | 2020-04-16 | 2021-10-22 | 中国石油天然气股份有限公司 | Pipeline monitoring method, pipeline monitoring device and computer equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4904050A (en) * | 1988-08-31 | 1990-02-27 | American Telephone And Telegraph Company, At&T Bell Laboratories | Methods of and systems for optical fiber sensing |
| US4943714A (en) * | 1988-02-11 | 1990-07-24 | Felten & Guilleaume Energietechnik Ag | Method of continuous measurement of damping in an elongated light wave conductor-sensor having only one accessible end |
| 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 |
| CN101930649A (en) * | 2010-08-20 | 2010-12-29 | 宁波诺可电子科技发展有限公司 | Method for preventing false alarm under severe weather conditions for fiber fence alarm system |
| CN101968161A (en) * | 2010-11-10 | 2011-02-09 | 于晋龙 | Distributed optical fiber polarization sensor based automatic early warning system of intelligent pipeline |
| CN103617685A (en) * | 2013-12-09 | 2014-03-05 | 中国船舶重工集团公司第七〇五研究所 | Self-learning algorithm based on optical fiber vibration sensing alarming system |
-
2016
- 2016-06-08 CN CN201610399539.8A patent/CN106051468A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4943714A (en) * | 1988-02-11 | 1990-07-24 | Felten & Guilleaume Energietechnik Ag | Method of continuous measurement of damping in an elongated light wave conductor-sensor having only one accessible end |
| US4904050A (en) * | 1988-08-31 | 1990-02-27 | American Telephone And Telegraph Company, At&T Bell Laboratories | Methods of and systems for optical fiber sensing |
| US4904050B1 (en) * | 1988-08-31 | 1992-07-28 | Bell Telephone Labor Inc | |
| 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 |
| CN101930649A (en) * | 2010-08-20 | 2010-12-29 | 宁波诺可电子科技发展有限公司 | Method for preventing false alarm under severe weather conditions for fiber fence alarm system |
| CN101968161A (en) * | 2010-11-10 | 2011-02-09 | 于晋龙 | Distributed optical fiber polarization sensor based automatic early warning system of intelligent pipeline |
| CN103617685A (en) * | 2013-12-09 | 2014-03-05 | 中国船舶重工集团公司第七〇五研究所 | Self-learning algorithm based on optical fiber vibration sensing alarming system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108182776A (en) * | 2017-12-28 | 2018-06-19 | 无锡联河光子技术有限公司 | A kind of alarm mode analysis method of distributed optical fiber fence safety pre-warning system |
| CN112071009A (en) * | 2019-06-11 | 2020-12-11 | 中国石油化工股份有限公司 | Optical fiber pipeline early warning system and method thereof |
| CN112071009B (en) * | 2019-06-11 | 2023-01-03 | 中国石油化工股份有限公司 | Optical fiber pipeline early warning system and method thereof |
| CN113531399A (en) * | 2020-04-16 | 2021-10-22 | 中国石油天然气股份有限公司 | Pipeline monitoring method, pipeline monitoring device, computer equipment and storage medium |
| CN113532619A (en) * | 2020-04-16 | 2021-10-22 | 中国石油天然气股份有限公司 | Pipeline monitoring method, pipeline monitoring device and computer equipment |
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Application publication date: 20161026 |