CN105510268A - Optical fiber network gas sensing system based on photoelectric fusion - Google Patents
Optical fiber network gas sensing system based on photoelectric fusion Download PDFInfo
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- 230000004927 fusion Effects 0.000 title abstract description 7
- 239000013307 optical fiber Substances 0.000 title abstract description 7
- 238000012545 processing Methods 0.000 claims abstract description 32
- 238000013528 artificial neural network Methods 0.000 claims abstract description 21
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 7
- 230000005622 photoelectricity Effects 0.000 claims description 32
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- 238000012795 verification Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 abstract description 7
- 239000007789 gas Substances 0.000 description 65
- 238000012544 monitoring process Methods 0.000 description 15
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- 241000282326 Felis catus Species 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 230000006855 networking Effects 0.000 description 5
- 230000008054 signal transmission Effects 0.000 description 5
- 239000000203 mixture Substances 0.000 description 4
- 239000000126 substance Substances 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 206010061592 cardiac fibrillation Diseases 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000002600 fibrillogenic effect Effects 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
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- 239000000523 sample Substances 0.000 description 2
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- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
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- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
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Abstract
The invention belongs to the technical field of communication and discloses an optical fiber network gas sensing system based on photoelectric fusion. The optical fiber network gas sensing system comprises a sensing node unit, a central node unit and a network node, wherein the sensing node unit is communicated with the sensing node unit through the network node; the sensing node unit comprises a gas sensor array and a data processing unit, wherein the gas sensor array is used for directly detecting various types of gas and components of the gas, and acquiring primary component information; the data processing unit is connected with the gas sensor array and is used for receiving the primary component information and outputting checked component information; the data processing unit adopts a neural network algorithm structure and is used for receiving a primary component information input vector output by the gas sensor array and calculating through a BP (Back Propagation) neural network to obtain accurate quantitative gas component information. The invention provides a sensing network system with high detection precision, high transmission efficiency and high anti-interference capability.
Description
Technical field
The present invention relates to communication technical field, particularly a kind of fiber optic network gas sensing system merged based on photoelectricity.
Background technology
Gas sensor is widely used in the various scenes of detection of gas, comprises the structure of all kinds of detection principle; Optics, electricity etc. are comparatively common.
Under complicated gaseous environment, existing optical sensing technology also exists certain limitation, technology maturation is not high, application relative complex, detect gas coverage rate narrower, and gas with various needs to carry different light sources, or the larger wideband light source of power and spectral filtering device, and the sensitivity of optical device is limited, these all can significantly increase cost and the power consumption of equipment operation; And traditional electricity, although semiconductor and catalysis calorifics formula sensor have ripe commercial background and technology, have based on single-point type detection, between gas, cross jamming is strong, and sensing networking scope is little, high in cost of production shortcoming.
Summary of the invention
The invention provides a kind of fiber optic network gas sensing system merged based on photoelectricity, solve gas detect precision in prior art low, interference mutually, the technical matters that reliability is low.
For solving the problems of the technologies described above, the invention provides a kind of fiber optic network gas sensing system merged based on photoelectricity, comprising: sensing node unit, Centroid unit and network node; Described sensing node unit is by described network node and described Centroid unit communication;
Described sensing node unit comprises:
Gas sensor array, all kinds of gas of direct detection and component thereof, obtain elementary component information;
Data processing unit, is connected with described gas sensor array, receives described preliminary component information and component information after output verification;
Wherein, described data processing unit adopts neural network algorithm structure, receives the elementary component information input vector that described gas sensor array exports, obtains accurate quantitative gas component information by BP neural network computing.
Further, described neural network algorithm structure is BP neural network algorithm.
Further, described system also comprises: sensor scan circuit;
Described sensor scan circuit is connected with described gas sensor array, and the elementary component information exported by described gas sensor array is collected and sent to described output processing unit.
Further, described system also comprises: Emulating of information flow collects treatment circuit;
Described Emulating of information flow is collected treatment circuit and is connected between described sensor scan circuit and described data processing unit; Realize the conversion of simulating signal to digital signal.
Further, described system also comprises: electrooptic conversion module;
Described electrooptic conversion module is connected between described data processing unit and described network node; Component information after the verification export data processing unit, converts light signal to and exports.
Further, described electrooptic conversion module adopts serial ports light cat.
Further, described system also comprises: alarm display module;
Described alarm display module is connected with described data processing unit, the component information after display verification; And report to the police.
Further, described network node comprises: photoswitch or optical multiplexer;
Described photoswitch or optical multiplexer are optical signal multiplexer type.
Further, Centroid comprises: photoelectric conversion module;
Described monitoring client photoelectric conversion module is connected with described photoswitch or described optical multiplexer, and what exported converts electric signal to.
Further, described system also comprises: supply network;
Described supply network comprises: terminal power supply source;
Described terminal power supply source is connected with described network node and described sensing node unit by cable, adopts wired power supply.
The one or more technical schemes provided in the embodiment of the present application, at least have following technique effect or advantage:
1, the fiber optic network gas sensing system merged based on photoelectricity provided in the embodiment of the present application, adopt the fiber optic network gas sensing framework merged based on photoelectricity, utilize electric chemical formula or infrared sensing head to carry out gaseous environment detection, obtain preliminary component information; Utilize Network algorithm to solve cross jamming problem in gas sensor array detection process, obtain the component information after verification, greatly promote reliability and the accuracy of data; Adopt the transmission structure of electric light conversion module flashlight fibrillation, the reduction networking Signal transmissions interference of high degree, realizes very low cost, reliable and practical, detects accurate real-time gas Sampling network system.
2, the fiber optic network gas sensing system merged based on photoelectricity provided in the embodiment of the present application, adopts the form of optical fiber and electric light conversion module, carries out photoelectricity fusion, realize the processing mode of torrent of light, realizes data reliable, and long-range networkization is transmitted; Avoid being subject to from the electromagnetic interference (EMI) under complex environment in the Network Transmitting of long distance; The further reliability promoting detection.
3, the fiber optic network gas sensing system merged based on photoelectricity provided in the embodiment of the present application, adopts the mode of the wired energy supply of cable, realizes the energy supply of long stabilization; Also be conducive to expanding investigative range, realize large-area high precision, continuation detects.
Accompanying drawing explanation
The structural representation of the fiber optic network gas sensing system based on photoelectricity fusion that Fig. 1 provides for the embodiment of the present invention;
The structural representation of the sensing node unit that Fig. 2 provides for the embodiment of the present invention;
The system flowchart that Fig. 3 provides for the embodiment of the present invention.
Embodiment
The embodiment of the present application, by providing a kind of fiber optic network gas sensing system merged based on photoelectricity, solves gas detect precision in prior art low, interference mutually, the technical matters that reliability is low; Reach lifting detection reliability, expand detection area, reduce the technique effect mutually disturbed between interference and signal transmission between gas.
For solving the problems of the technologies described above, the embodiment of the present application provides the general thought of technical scheme as follows:
Based on the fiber optic network gas sensing system that photoelectricity merges, comprising: sensing node unit, Centroid unit and network node; Described sensing node unit is by described network node and described Centroid unit communication;
Described sensing node unit comprises:
Gas sensor array, all kinds of gas of direct detection and component thereof, obtain elementary component information;
Data processing unit, is connected with described gas sensor array, receives described preliminary component information and component information after output verification;
Wherein, described data processing unit adopts neural network algorithm structure, receives the elementary component information input vector that described gas sensor array exports, obtains accurate quantitative gas component information by BP neural network computing; BP neural network can be selected.
Can be found out by foregoing, extensively monitor all kinds of gas in complicated gaseous environment and its component information in real time by gas sensor array; The mutual interference be subject in process between gas causes gas composition may be accurate not, Given this, by the BP neural network algorithm of data processing unit, adaptive correction verification, reach more accurate component ratio, thus overcome the mutual interference in COMPLEX MIXED gaseous environment; By using with the use of the fusion realizing photosignal of optical fiber and photoelectricity or electrooptic conversion module, overcome transmission disturbance, optimize detection system further, promote detection accuracy and reliability; Photoelectricity or electrooptic conversion module can select serial ports light cat.
In order to better understand technique scheme, below in conjunction with Figure of description and concrete embodiment, technique scheme is described in detail, the specific features being to be understood that in the embodiment of the present invention and embodiment is the detailed description to technical scheme, instead of the restriction to technical scheme, when not conflicting, the technical characteristic in the embodiment of the present application and embodiment can combine mutually.
See Fig. 1 and Fig. 2, a kind of fiber optic network gas sensing system merged based on photoelectricity that the embodiment of the present invention provides, comprising: sensing node unit, Centroid unit and network node; Described sensing node unit is by described network node and described Centroid unit communication;
Described sensing node unit comprises:
Gas sensor array, all kinds of gas of direct detection and component thereof, obtain elementary component information;
Data processing unit, is connected with described gas sensor array, receives described preliminary component information and component information after output verification;
Wherein, described data processing unit adopts BP neural network algorithm structure, receives the elementary component information input vector that described gas sensor array exports, obtains accurate quantitative gas component information by BP neural network computing.
Described gas sensor array adopts electrochemical sensor; Concrete, for methane, carbon dioxide, sulfuretted hydrogen etc. conventional gas, or further, adopt according to concrete environment for use, set up necessity targetedly, the gas sensor of electric chemical formula can be selected, realize detecting targetedly, make investigative range wider.
System also comprises: sensor scan circuit; Sensor scan circuit is connected with gas sensor array, is collected and sends to described output processing unit by the elementary component information that gas sensor array exports.Adopt conventional data acquisition circuit, chip or device, to adapt to the demand of actual capacity or signal attribute; The signal transmission structure of optimization system, raising efficiency and antijamming capability.
Described system also comprises: Emulating of information flow collects treatment circuit; Described Emulating of information flow is collected treatment circuit and is connected between described sensor scan circuit and described data processing unit; Realize the conversion of simulating signal to digital signal.Analog to digital conversion circuit or shaping modulus switching device can be adopted
The Signal transmissions employing photoelectricity fusion mode of system, comprises photoelectric conversion module and electrooptic conversion module tackles broadcasting and TV and electro-optic conversion process respectively; Specifically can adopt the form that serial ports light cat and Optical Fiber Transmission combine; Described serial ports light cat is connected between described data processing unit and described network node; Component information after the verification export data processing unit, converts light signal to and exports.
In view of actual needs, the present embodiment also provides alarm display module; Described alarm display module is connected with described data processing unit, the component information after display verification; When detecting that hazardous gas or bit line concentration can be reported to the police; The mark of reporting to the police according to the applied environment designed, designed of reality and threshold value.
The sensing node unit of described network node as distal probe and the communication network of terminal monitoring, comprising: photoswitch or optical multiplexer; Photoswitch or optical multiplexer are multiplexing; Realize the setting of large-area end sensing node, greatly improve monitoring area; Deploy to ensure effective monitoring and control of illegal activities relative to single-point of the prior art, or specific aim is deployed to ensure effective monitoring and control of illegal activities, possess higher adaptability and application prospect.
Centroid is terminal monitoring center, realizes gathering of information; Comprise: monitoring client serial ports light cat; Described monitoring client serial ports light cat is connected with described photoswitch or described optical multiplexer, and the light signal with gas composition exported converts electric signal to; Thus complete the circulation of the transmission that photoelectricity merges.
In order to strengthen the continuous firing ability of system and expand laying scope, system also comprises: supply network; Described supply network comprises: terminal power supply source; Described terminal power supply source is connected with described network node and described sensing node unit by cable, realizes wired power supply.Receive conversion module especially by electric energy to obtain from terminal power supply source and transform and obtain available direct supply, also can be controlled by power interruptions at Centroid place to a certain extent, realize further safety guarantee).
Data processing unit exports mainly through the rationalization realizing component precision of data processing; Data processing unit adopts arm processor or on-site programmable gate array FPGA to perform BP neural network algorithm; Reliable and stable.
ARM or FPGA carrys out Support gas algorithm for pattern recognition as main basic platform, under the prerequisite of depositing cross jamming between sensors, the image data of each gas sensor array forms the initial input vector of network, after the neural network through certain level, for realizing accurate as far as possible quantitative gas composition identification under the gaseous environment of complexity, general main employing BP neural network algorithm structure.
Algorithm complexity is mainly subject to: maximum frequency of training, study precision, concealed nodes, threshold value, and initial learn speed, and sample size, learning strategy etc. aspect affects
This part mainly realizes with the form of code, and its algorithm complexity is subject to selected sensor type, and sensor decides for the adaptedness of environment and its cross jamming degree; Its sensor accuracy is higher, and cross jamming is lower, more can reduce the complexity of algorithm and improve the degree of accuracy of whole system.
See Fig. 3, the workflow of native system.
Training in rotation signal is input to the photoswitch of network node by Centroid, photoswitch selects specific channel link, specific sensing node is correspond at selected passage place, gas sensor array in sensing node directly contacts with external environment, itself there is the ability of independent acquisition signal and buffer memory, sweep circuit is utilized to carry out multi-channel data acquisition, treatment circuit filter and amplification, processor carries out algorithm identification, gasometric compositional data is obtained after eliminating cross jamming as much as possible, utilize after serial ports light cat is translated into fiber-optic signal, when training in rotation is to this sensing node place, passage is opened, the monitor portion outputting to Centroid of long distance, realize the feedback of information and Centroid for the monitoring of whole network and information acquisition, in this serial procedures, the energy supply center at Centroid place provides reliable cable energy supply to export always.Point-to-multipoint, center monitoring part, circularly monitoring, multiline message transmits.
Consider from the structure of total system, system is divided into three parts:
Centroid
Divide by function and mainly can be divided into center monitoring part and center energized part.Center monitoring part mainly realizes monitoring for whole network and control, host computer and serial ports light cat mode can be used to realize the Real-time Collection monitoring of data to multichannel sensing node, also can increase and control specific sensing node time necessary; Center energized part, then utilize cable to carry out the networking electric energy conveying of each sensing node, be required to meet certain power supply capacity and the stability of power in the process of reality;
Sensing node
Primarily of gas sensor array, the senior process chip such as ARM or FPGA and corresponding auxiliary circuit, the arrangement of serial ports light cat is formed.Gas composition information in multi-gas sensor array acquisition environment, its drainage pattern can adopt the mode of poll or coding, neural network algorithm is passed through after being input to ARM or fpga chip after each sensor information obtained after data preparation circuit, obtain the judgement of gas mode, buffer memory device can be added in necessary situation and carry out buffer memory, be that Serial Port Information is input among serial ports light cat again by gas mode convert information, be converted into optical transmission of information to Centroid; The control information of Centroid place can be accepted under one stable condition.
Network node
Network node is formed primarily of photoswitch or optical multiplexer, and photoswitch realizes the multiplexed of 1*N road, by effective for light path broadening, can expand sensing range, realize the monitoring of structures of networking.Also multiple network node can be set, expand the branch road of whole network.
The one or more technical schemes provided in the embodiment of the present application, at least have following technique effect or advantage:
1, the fiber optic network gas sensing system merged based on photoelectricity provided in the embodiment of the present application, adopt the fiber optic network gas sensing framework merged based on photoelectricity, utilize electric chemical formula or infrared sensing head to carry out gaseous environment detection, obtain preliminary component information; Utilize BP neural network algorithm to solve cross jamming problem in gas sensor array detection process, obtain the component information after verification, greatly promote reliability and the accuracy of data; Adopt serial ports light cat to realize the transmission structure of flashlight fibrillation, the reduction networking Signal transmissions interference of high degree, realizes very low cost, reliable and practical, detects accurate real-time gas Sampling network system.
2, the fiber optic network gas sensing system merged based on photoelectricity provided in the embodiment of the present application, adopts the form of optical fiber and serial ports light cat, carries out photoelectricity fusion, realize the processing mode of two-way torrent of light, realizes data reliable, and long-range networkization is transmitted; Avoid being subject to from the electromagnetic interference (EMI) under complex environment in the Network Transmitting of long distance; The further reliability promoting detection.
3, the fiber optic network gas sensing system merged based on photoelectricity provided in the embodiment of the present application, adopts the mode of the wired energy supply of cable, realizes the energy supply of long stabilization; Also be conducive to expanding investigative range, realize large-area high precision, continuation detects.
It should be noted last that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to example to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (10)
1., based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, comprising: sensing node unit, Centroid unit and network node; Described sensing node unit is by described network node and described Centroid unit communication;
Described sensing node unit comprises:
Gas sensor array, all kinds of gas of direct detection and component thereof, obtain elementary component information;
Data processing unit, is connected with described gas sensor array, receives described preliminary component information and component information after output verification;
Wherein, described data processing unit adopts neural network algorithm structure, receives the elementary component information input vector that described gas sensor array exports, obtains accurate quantitative gas component information by BP neural network computing.
2., as claimed in claim 1 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that: described neural network algorithm structure is BP neural network algorithm.
3., as claimed in claim 1 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, also comprise: sensor scan circuit;
Described sensor scan circuit is connected with described gas sensor array, and the elementary component information exported by described gas sensor array is collected and sent to described output processing unit.
4. as claimed in claim 3 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, also comprise: Emulating of information flow collects treatment circuit;
Described Emulating of information flow is collected treatment circuit and is connected between described sensor scan circuit and described data processing unit; Realize the conversion of simulating signal to digital signal.
5. the fiber optic network gas sensing system merged based on photoelectricity as described in any one of Claims 1 to 4, is characterized in that, also comprise: electrooptic conversion module;
Described electrooptic conversion module is connected between described data processing unit and described network node; Component information after the verification export data processing unit, converts light signal to and exports.
6. as claimed in claim 5 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that: described electrooptic conversion module adopts serial ports light cat.
7., as claimed in claim 6 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, also comprise: alarm display module;
Described alarm display module is connected with described data processing unit, the component information after display verification; And report to the police.
8., as claimed in claim 7 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, described network node comprises: photoswitch or optical multiplexer;
Described photoswitch or optical multiplexer are optical signal multiplexer type.
9., as claimed in claim 8 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, described Centroid comprises: photoelectric conversion module;
Described photoelectric conversion module is connected with described photoswitch or described optical multiplexer, and what exported converts electric signal to.
10., as claimed in claim 9 based on the fiber optic network gas sensing system that photoelectricity merges, it is characterized in that, also comprise: supply network;
Described supply network comprises: terminal power supply source;
Described terminal power supply source is connected with described network node and described sensing node unit by cable, adopts wired power supply.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108831121A (en) * | 2018-05-24 | 2018-11-16 | 歌尔股份有限公司 | The method for early warning and device of mine safety production |
| CN109297533A (en) * | 2018-09-20 | 2019-02-01 | 北京恩福健康科技有限公司 | A kind of method of precise measurement skin surface temperature and humidity |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102192927A (en) * | 2010-11-05 | 2011-09-21 | 重庆大学 | Air-quality monitoring system based on electronic nose technique, and monitoring method thereof |
| CN202582761U (en) * | 2012-02-23 | 2012-12-05 | 华北电力大学（保定） | Power plant direct air-cooled condenser temperature field on-line monitoring device |
| CN203037612U (en) * | 2013-02-05 | 2013-07-03 | 广东工业大学 | Embedded type bionic olfactory sensation information collection device |
| CN203069663U (en) * | 2012-12-12 | 2013-07-17 | 中国电力科学研究院 | Ultra high voltage direct current insulator leakage current measurement system |
| CN104302016A (en) * | 2014-09-16 | 2015-01-21 | 北京市信息技术研究所 | Wireless sensor network architecture based on multifunctional combination sensors |
-
2015
- 2015-12-07 CN CN201510895319.XA patent/CN105510268A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102192927A (en) * | 2010-11-05 | 2011-09-21 | 重庆大学 | Air-quality monitoring system based on electronic nose technique, and monitoring method thereof |
| CN202582761U (en) * | 2012-02-23 | 2012-12-05 | 华北电力大学（保定） | Power plant direct air-cooled condenser temperature field on-line monitoring device |
| CN203069663U (en) * | 2012-12-12 | 2013-07-17 | 中国电力科学研究院 | Ultra high voltage direct current insulator leakage current measurement system |
| CN203037612U (en) * | 2013-02-05 | 2013-07-03 | 广东工业大学 | Embedded type bionic olfactory sensation information collection device |
| CN104302016A (en) * | 2014-09-16 | 2015-01-21 | 北京市信息技术研究所 | Wireless sensor network architecture based on multifunctional combination sensors |
Non-Patent Citations (3)
| Title |
|---|
| 《空气和废气监测分析方法指南 下》编委会: "《空气和废气监测分析方法指南 下》", 31 July 2014, 中国环境出版社 * |
| 周孟然: "《煤矿瓦斯的激光光谱检测技术研究》", 31 May 2012, 合肥工业大学出版社 * |
| 蒋辉等: "《数字化测图技术及应用》", 31 January 2006, 国防工业出版社 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108831121A (en) * | 2018-05-24 | 2018-11-16 | 歌尔股份有限公司 | The method for early warning and device of mine safety production |
| CN109297533A (en) * | 2018-09-20 | 2019-02-01 | 北京恩福健康科技有限公司 | A kind of method of precise measurement skin surface temperature and humidity |
| CN109297533B (en) * | 2018-09-20 | 2021-04-13 | 北京恩福健康科技有限公司 | Method for accurately measuring skin surface temperature and humidity |
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Application publication date: 20160420 |