CN110032668A - A kind of underground pipe network visualization method for early warning and device based on network big data - Google Patents
A kind of underground pipe network visualization method for early warning and device based on network big data Download PDFInfo
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- CN110032668A CN110032668A CN201910322887.9A CN201910322887A CN110032668A CN 110032668 A CN110032668 A CN 110032668A CN 201910322887 A CN201910322887 A CN 201910322887A CN 110032668 A CN110032668 A CN 110032668A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Abstract
The invention discloses a kind of, and the underground pipe network based on network big data visualizes method for early warning and device, wherein the described method includes: network server receives the label the reflected beams data that data collection station is sent based on wireless network connection;Type belonging to label the reflected beams data is obtained, and determines and generates the location information that the reflected beams data optical fiber accordingly descends pipeline location;Corresponding analysis model carries out the analysis of the reflected beams data, obtains label the reflected beams data correspondence analysis result;Confirm that the generation the reflected beams data optical fiber accordingly descends the underground piping condition information of pipeline location;Result, the location information of corresponding underground piping position and underground piping condition information will be analyzed to be labeled on piping network map, user management terminal is then pushed to and carry out visualization early warning and show.In embodiments of the present invention, it realizes and visualization early warning monitoring in real time is carried out to the situation of underground piping network.
Description
Technical field
The present invention relates to data visualization technique field more particularly to a kind of underground pipe network based on network big data are visual
Change method for early warning and device.
Background technique
With going deep into for urbanization process, the scale of Urban Buried Pipeline Network also constantly expands, but large quantities of drainage pipelines because
It is remote to be laid with the time, reach or approach service life one after another now, or even many pipelines do not reach service life with regard to because
It leaked for aging, break quick-fried, the contamination accident that can not be estimated is caused to environment.
It is criss-cross between pipeline because underground piping network is excessively complicated due to the defect of the prior art, the new and old journey of pipeline
Spend it is inconsistent, it is difficult to realize that underground piping network is monitored, effectively can not understand underground piping network in first time
Condition information may all be made when pipeline failure accident (leakage, explosion etc.) occurs for any one place in underground piping network
At heavy losses.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, and the present invention provides a kind of ground based on network big data
Lower pipe network visualization method for early warning and device carry out acquisition, the analysis of underground piping data, and structure based on big data network technology
Build visualization piping network situation map push to user management terminal carry out visualization early warning show so that manage being capable of user
The situation of friendly real time monitoring underground piping, and corresponding counter-measure is being formulated at the first time, reduce underground piping situation
Further deteriorate bring heavy losses.
In order to solve the above-mentioned technical problem, the embodiment of the invention provides a kind of underground pipe networks based on network big data can
Depending on changing method for early warning, which comprises
Network server receives the label the reflected beams data that data collection station is sent based on wireless network connection,
Described in label the reflected beams data be the optical fiber being laid with underground piping the reflected beams data;
After network server receives label the reflected beams data, according to the mark in the label the reflected beams data
Note information is classified, and obtains type belonging to label the reflected beams data, wherein the type of the reflected beams data includes Raman
Scatter light type, Brillouin scattering light type and Rayleigh scattering light type;And
It is determined according to the mark information in the label the reflected beams data and generates reflection with the optical fiber that underground piping is laid with
Beam data to data collection station length data;And optical fiber generates the length of the reflected beams data to data collection station
Data, which determine, generates the location information that the reflected beams data optical fiber accordingly descends pipeline location;
Network server calls corresponding analysis model to carry out reflected light based on type belonging to label the reflected beams data
Beam data analysis obtains label the reflected beams data correspondence analysis result;
The generation the reflected beams data optical fiber pair is confirmed based on the corresponding analysis result of the label the reflected beams data
Answer the underground piping condition information of underground piping position;
Label the reflected beams data correspondence analysis result, generation the reflected beams data optical fiber are accordingly descended into pipeline location
Location information and underground piping condition information are labeled on piping network map, obtain visualization piping network situation map,
And push to user management terminal carry out visualization early warning show.
Optionally, the network server receives the label reflection that data collection station is sent based on wireless network connection
Beam data, comprising:
The network server is based on wireless network in preset interval time and sends reflected light to the data collection station
Beam acquisition instructions;
The data collection station responds the reflected beams acquisition instructions in acquisition, acquires the reflected beams data;
The data collection station according to data collection station number and collect time of the reflected beams data into
Line flag processing obtains label the reflected beams data, and sends label the reflected beams data to the network server;
Network server receives the label the reflected beams data that data collection station is sent based on wireless network.
Optionally, the mark information according in the label the reflected beams data is classified, and obtains label reflection
Type belonging to beam data, comprising:
The network server obtains the number marked in label the reflected beams data;
Match cognization is carried out in the reservation database in the network server using the number, the number corresponds to
Data collection station type;
Classified based on the type for numbering corresponding data collection station to the label the reflected beams data, obtains mark
Remember type belonging to the reflected beams data;
Wherein the type of data collection station includes acquisition Raman scattering optical terminus, acquisition Brillouin scattering optical terminus and adopts
Collect Rayleigh scattering optical terminus;The type of the reflected beams data includes Raman scattering light type, Brillouin scattering light type and auspicious
Benefit scattering light type.
Optionally, the mark information according in the label the reflected beams data determines the light being laid with underground piping
Fibre generates the length data of the reflected beams data to data collection station, comprising:
The network server obtains the number marked in label the reflected beams data;
Match cognization is carried out in the reservation database in the network server using the number, the number corresponds to
Data collection station location information;
Determine that optical fiber generates the reflected beams data to number according to the location information of the corresponding data collection station of the number
According to the length data of acquisition terminal.
Optionally, the location information according to the corresponding data collection station of the number determines that optical fiber generates reflected light
Beam data to data collection station length data, comprising:
Network server squeezes into the first time of laser beam based on wireless network connection acquisition laser to optical fiber;
It is calculated based on the time that the first time, data collection station collect the reflected beams data and obtains laser beam warp
Cross distance;
The distance for subtracting laser to the data collection station by distance using laser beam, obtains first distance;
The half for taking first distance is length data of the optical fiber generation the reflected beams data to data collection station.
Optionally, the length data that the optical fiber generates the reflected beams data to data collection station, which determines, generates reflected light
Beam data optical fiber corresponds to the location information of underground piping position, comprising:
Optical fiber is obtained in network server when being laid with underground piping, optical fiber be arranged in the set-up mode of underground piping with
And under the set-up mode underground piping length and fiber lengths ratio;
It is generated under the reflected beams data to the length data and the set-up mode of data collection station based on the optical fiber
The location information of underground piping length underground piping corresponding with the ratio-dependent of fiber lengths position.
Optionally, the network server calls corresponding analysis model based on type belonging to label the reflected beams data
The analysis of the reflected beams data is carried out, label the reflected beams data correspondence analysis result is obtained, comprising:
The network server is based on label the reflected beams data and obtains the corresponding intensity of label the reflected beams data and frequency
Rate;
Call corresponding analysis model to label the reflected beams number according to type belonging to the label the reflected beams data
It is analyzed according to corresponding intensity and frequency, obtains label the reflected beams data correspondence analysis result;
Wherein, when analysis model is Raman diffused light analysis model, label the reflected beams data correspondence analysis result is to produce
The fiber optic temperature data of the fiber position of raw the reflected beams data;When analysis model is Brillouin scattering analysis model, label
The reflected beams data correspondence analysis result is to generate the stress of the fiber position of the reflected beams data;Analysis model is Rayleigh
When scattering light analysis model, label the reflected beams data correspondence analysis result is to generate the shake of the fiber position of the reflected beams data
Dynamic amplitude.
Optionally, described that the generation the reflected beams are confirmed based on the corresponding analysis result of the label the reflected beams data
Data optical fiber accordingly descends the underground piping condition information of pipeline location, comprising:
Using preset threshold abnormal in the corresponding analysis result of the label the reflected beams data and correspondence analysis model into
Row compares;
If the corresponding analysis result of the label the reflected beams data is greater than or equal to extremely default in correspondence analysis model
Threshold value, then it is abnormal for generating the reflected beams data optical fiber and accordingly descending the underground piping condition information of pipeline location;
If the corresponding analysis result of the label the reflected beams data is less than abnormal preset threshold in correspondence analysis model,
It is normal for generating the reflected beams data optical fiber and accordingly descending the underground piping condition information of pipeline location.
It is optionally, described further include:
If management user is not within a preset time to pushing to the visualization early warning display progress that user management terminal show
Response processing, then the mobile terminal bound to the management user is sent early warning information by the network server.
In addition, the embodiment of the invention also provides a kind of, the underground pipe network based on network big data visualizes prior-warning device,
Described device includes:
Data reception module: network server is anti-based on the label that wireless network connection reception data collection station is sent
Irradiating light beam data, wherein the label the reflected beams data are the reflected beams data for the optical fiber being laid with underground piping;
Data categorization module: for network server receive label the reflected beams data after, according to the label
Mark information in the reflected beams data is classified, and obtains type belonging to label the reflected beams data, wherein the reflected beams
The type of data includes Raman scattering light type, Brillouin scattering light type and Rayleigh scattering light type;And
Position determination module: it is spread for being determined according to the mark information in the label the reflected beams data with underground piping
If optical fiber generate the reflected beams data to data collection station length data;And optical fiber generates the reflected beams data to number
The location information for generating the reflected beams data optical fiber and accordingly descending pipeline location is determined according to the length data of acquisition terminal;
Data analysis module: corresponding point is called based on type belonging to label the reflected beams data for network server
It analyses model and carries out the analysis of the reflected beams data, obtain label the reflected beams data correspondence analysis result;
Pipeline conditions confirmation module: for confirming the production based on the corresponding analysis result of the label the reflected beams data
Raw the reflected beams data optical fiber accordingly descends the underground piping condition information of pipeline location;
Visualization display module: for that will mark the reflected beams data correspondence analysis result, generate the reflected beams data light
The location information and underground piping condition information of the corresponding underground piping position of fibre are labeled on piping network map, are obtained visual
Change piping network situation map, and push to user management terminal carry out visualization early warning show.
In embodiments of the present invention, acquisition, the analysis of underground piping data are carried out based on big data network technology, and are constructed
Visualization piping network situation map, which pushes to user management terminal, to carry out visualization early warning and show so that management can user it is friendly
The situation of good real time monitoring underground piping, and formulating corresponding counter-measure at the first time, reduce underground piping situation into
One step deteriorates bring heavy losses.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it is clear that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the process signal of the underground pipe network visualization method for early warning based on network big data in the embodiment of the present invention
Figure;
Fig. 2 is the structure composition of the underground pipe network visualization prior-warning device based on network big data in the embodiment of the present invention
Schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Embodiment
Referring to Fig. 1, Fig. 1 is the underground pipe network visualization method for early warning based on network big data in the embodiment of the present invention
Flow diagram.
As shown in Figure 1, a kind of underground pipe network based on network big data visualizes method for early warning, which comprises
S11: network server receives the label the reflected beams number that data collection station is sent based on wireless network connection
According to wherein the label the reflected beams data are the reflected beams data for the optical fiber being laid with underground piping;
In specific implementation process of the present invention, the network server is based on wireless network connection and receives data collection station
The label the reflected beams data sent, comprising: the network server is based on wireless network to described in preset interval time
Data collection station sends the reflected beams acquisition instructions;The data collection station responds the reflected beams acquisition in acquisition and refers to
It enables, acquires the reflected beams data;The data collection station according to data collection station number and collect the reflected beams
Processing is marked in the time of data, obtains label the reflected beams data, and send label reflected light to the network server
Beam data;Network server receives the label the reflected beams data that data collection station is sent based on wireless network.
Specifically, preset interval time is set according to actual conditions in administrative staff, every preset interval time, network clothes
Business device is based on wireless network and sends the reflected beams acquisition instructions to the data collection station, while network server is based on
Instruction of the wireless network to laser transmitter projects laser beam, laser transmitter projects laser beam after meal, and by transmission technology beam
Time be uploaded to network server;Then the reflected beams acquisition that data collection station response to network server sends over refers to
Order initially enters acquisition terminal, acquires the reflected beams data in real time;After collecting the reflected beams data, this collects reflection
The data collection station of beam data is according to itself number and collects the time of the reflected beams data to the reflected beams
Data are marked, to obtain label the reflected beams data, then send label the reflected beams data to network server, so
Network server receives the label the reflected beams data that data collection station sends over based on wireless network afterwards.
S12: after network server receives label the reflected beams data, according in the label the reflected beams data
Mark information classify, obtain label the reflected beams data belonging to type, wherein the type of the reflected beams data include
Raman scattering light type, Brillouin scattering light type and Rayleigh scattering light type;
In specific implementation process of the present invention, the mark information according in the label the reflected beams data is divided
Class obtains type belonging to label the reflected beams data, comprising: the network server obtains institute in label the reflected beams data
The number of label;Match cognization, the number are carried out in the reservation database in the network server using the number
The type of corresponding data collection station;Type based on the corresponding data collection station of number is to the label the reflected beams number
According to classifying, type belonging to label the reflected beams data is obtained;Wherein the type of data collection station includes acquisition Raman
Scatter optical terminus, acquisition Brillouin scattering optical terminus and acquisition Rayleigh scattering optical terminus;The type of the reflected beams data includes drawing
Graceful scattering light type, Brillouin scattering light type and Rayleigh scattering light type.
Specifically, network server parses label the reflected beams data, to obtain label the reflected beams data
In the number marked carry out identification matching in reservation database in network server using the number, wherein it is reserved
Type described in data collection station corresponding to the number and number of each data collection station is stored in database,
Middle type includes the position letter of Raman scattering type, Brillouin scattering and Rayleigh scattering type and each data collection station
Breath;Classification described in label the reflected beams data is determined by identifying type belonging to data collection station, then obtains mark
Remember type belonging to the reflected beams data.
S13: it is determined according to the mark information in the label the reflected beams data and is generated with the optical fiber that underground piping is laid with
The reflected beams data to data collection station length data;And optical fiber generates the reflected beams data to data collection station
Length data, which determines, generates the location information that the reflected beams data optical fiber accordingly descends pipeline location;
In specific implementation process of the present invention, it is described according to it is described label the reflected beams data in mark information determine with
The optical fiber that underground piping is laid with generates the length data of the reflected beams data to data collection station, comprising: the network service
Device obtains the number marked in label the reflected beams data;Utilize reserved data of the number in the network server
Match cognization, the location information for numbering corresponding data collection station are carried out in library;According to the corresponding data of the number
The location information of acquisition terminal determines that optical fiber generates the length data of the reflected beams data to data collection station.
Further, the location information according to the corresponding data collection station of the number determines that optical fiber generates reflection
Beam data to data collection station length data, comprising: network server be based on wireless network connection obtain laser to
Optical fiber squeezes into the first time of laser beam;Based on the first time, data collection station collect the reflected beams data when
Between calculate obtain laser beam pass through distance;Using laser beam by distance subtract laser to the data collection station away from
From acquisition first distance;The half for taking first distance is that optical fiber generates the reflected beams data to data collection station
Length data.
Specifically, then network server utilizes the volume by obtaining the number marked in label the reflected beams data
Match cognization is carried out in reservation database number in network server, to obtain the corresponding data collection station of the number
Location information;Then determine that optical fiber generates the reflected beams data according to the location information of the corresponding data collection station of the number
To the length data of data collection station.
Specifically, network server needs to obtain the first time that laser squeezes into laser beam to optical fiber;Using this first
Time and the difference of time for collecting the reflected beams data are multiplied with the light velocity, obtain laser beam by distance, are passed through using laser beam
It crosses the distance that distance subtracts laser to data collection station and obtains first distance, taking the half of first distance is optical fiber
Generate the length data of the reflected beams data to data collection station.
In specific implementation process of the present invention, the optical fiber generates the length number of the reflected beams data to data collection station
According to the location information for determining that generation the reflected beams data optical fiber accordingly descends pipeline location, comprising: obtained in network server
When optical fiber is laid with underground piping, buried pipe road length under the set-up mode and the set-up mode of underground piping is arranged in optical fiber
The ratio of degree and fiber lengths;The reflected beams data are generated to the length data of data collection station and described based on the optical fiber
The location information of underground piping length underground piping corresponding with the ratio-dependent of fiber lengths position under set-up mode.
Specifically, being needed really after obtaining optical fiber and generating length data of the reflected beams data to data collection station
When determining optical fiber and being laid with underground piping, underground piping under the set-up mode and the set-up mode of underground piping is arranged in optical fiber
The ratio of length and fiber lengths;If straight line is arranged in outside pipeline, length ratio is 1:1;The optical fiber and pipeline of spiral setting are long
Degree is than that may be 4:1 or 3:1 etc., this is confirmable when setting and is retained in reservation database, after convenient
It is continuous to call position more changed than determining underground piping situation;Then the reflected beams data to data are generated using optical fiber to acquire
Underground piping length and the ratio of fiber lengths are multiplied under the length data and set-up mode of terminal, and corresponding buried pipe can be obtained
The location information of road position.
S14: network server calls corresponding analysis model to carry out instead based on type belonging to label the reflected beams data
The analysis of irradiating light beam data obtains label the reflected beams data correspondence analysis result;
In specific implementation process of the present invention, the network server is based on type tune belonging to label the reflected beams data
The reflected beams data analysis is carried out with corresponding analysis model, obtains label the reflected beams data correspondence analysis result, comprising: institute
It states network server and is based on the corresponding intensity of label the reflected beams data acquisition label the reflected beams data and frequency;According to described
Type belonging to the reflected beams data is marked to call corresponding analysis model to the corresponding intensity of label the reflected beams data and frequency
Rate is analyzed, and label the reflected beams data correspondence analysis result is obtained;Wherein, analysis model is Raman diffused light analysis model
When, label the reflected beams data correspondence analysis result is to generate the fiber optic temperature data of the fiber position of the reflected beams data;Point
When analysis model is Brillouin scattering analysis model, label the reflected beams data correspondence analysis result is to generate the reflected beams data
Fiber position stress;When analysis model is Rayleigh scattering light analysis model, the reflected beams data correspondence analysis is marked
It as a result is the vibration amplitude of the fiber position of generation the reflected beams data.
Specifically, it is anti-to obtain label by carrying out intensity and frequency analysis to label the reflected beams data for network server
The corresponding intensity of irradiating light beam data and frequency;Then label is reflected using analysis model belonging to the label the reflected beams data
The corresponding intensity of beam data and frequency are analyzed, and corresponding analysis result can be obtained, wherein analysis model dissipates for Raman
When penetrating light analysis model, label the reflected beams data correspondence analysis result is the optical fiber for generating the fiber position of the reflected beams data
Temperature data;When analysis model is Brillouin scattering analysis model, label the reflected beams data correspondence analysis result is to generate
The stress of the fiber position of the reflected beams data;When analysis model is Rayleigh scattering light analysis model, the reflected beams are marked
Data correspondence analysis result is to generate the vibration amplitude of the fiber position of the reflected beams data.
Specifically, each analysis model is analyzed in the corresponding collected label the reflected beams data of data collector
The intensity and frequency of those data, obtaining the result is that different, Raman diffused light analysis model is reflected by analysis
The intensity and frequency of light beam come determine generate reflection point optical fiber temperature because the Energy distribution of Raman scattering and temperature are direct
It is related;Brillouin scattering analysis model is to determine the optical fiber for generating reflection point by the intensity and frequency of analysis the reflected beams
Stress because the frequency drift of Brillouin light is directly related with adaptability to changes;It is to pass through analysis that Rayleigh scattering light, which analyzes mould,
The intensity and frequency of the reflected beams determine the vibration amplitude state of the optical fiber for generating reflection point, because of Rayleigh scattering light energy
Periodic distribution is presented along length, phase offset can be occurred by after external shock disturbance.
S15: the generation the reflected beams data light is confirmed based on the corresponding analysis result of the label the reflected beams data
The underground piping condition information of the corresponding underground piping position of fibre;
It is described based on the corresponding analysis result confirmation of the label the reflected beams data in specific implementation process of the present invention
The underground piping condition information for generating the reflected beams data optical fiber and accordingly descending pipeline location, comprising: utilize the label
The corresponding analysis result of the reflected beams data is compared with preset threshold abnormal in correspondence analysis model;If the label reflection
The corresponding analysis result of beam data is greater than or equal to abnormal preset threshold in correspondence analysis model, then generates the reflected beams data
It is abnormal that optical fiber, which corresponds to the underground piping condition information of underground piping position,;If the corresponding analysis of the label the reflected beams data
As a result it is less than abnormal preset threshold in correspondence analysis model, then generates the ground that the reflected beams data optical fiber accordingly descends pipeline location
Lower pipeline condition information is normal.
Specifically, above-mentioned three types has a critical value, if if when being equal to or more than critical value,
It is therefore compared using analysis result with preset threshold in corresponding analysis type for abnormal conditions, if being equal to or more than,
It is otherwise normal then to be abnormal.
S16: label the reflected beams data correspondence analysis result, generation the reflected beams data optical fiber are accordingly descended into pipeline position
The location information and underground piping condition information set are labeled on piping network map, with obtaining visualization piping network situation
Figure, and push to user management terminal carry out visualization early warning show.
In specific implementation process of the present invention, the position of pipeline location is accordingly descended according to generation the reflected beams data optical fiber
Information finds corresponding location point on piping network map, will mark reflected light by floating-point notation methods on point in the position
Beam data correspondence analysis result and underground piping condition information are labeled in generation the reflected beams data optical fiber and accordingly descend pipeline
The location information of position forms visualization piping network situation map in the corresponding location point of piping network map, then passes through
Paging loading technique push to user management terminal carry out visualization early warning show.
It is described in specific implementation process of the present invention further include: if management user is not within a preset time to pushing to use
The visualization early warning that family management terminal is shown, which is shown, carries out response processing, then the network server will be tied up to the management user
Fixed mobile terminal sends early warning information.
Specifically, management user may not show visualization pipe in user management terminal in user management terminal edge
It after road state network map, can not know at the first time, arrangement can not handle at the first time, therefore, user management terminal is aobvious
After showing visualization pipeline conditions network map for a period of time, if management user does not carry out any response processing, then net
Network server sends early warning information by the mobile terminal that mobile communication base station is bound to management user to prompt management to use
Family.
In embodiments of the present invention, acquisition, the analysis of underground piping data are carried out based on big data network technology, and are constructed
Visualization piping network situation map, which pushes to user management terminal, to carry out visualization early warning and show so that management can user it is friendly
The situation of good real time monitoring underground piping, and formulating corresponding counter-measure at the first time, reduce underground piping situation into
One step deteriorates bring heavy losses.
Embodiment
Referring to Fig. 2, Fig. 2 is the underground pipe network visualization prior-warning device based on network big data in the embodiment of the present invention
Structure composition schematic diagram.
As shown in Fig. 2, a kind of underground pipe network based on network big data visualizes prior-warning device, described device includes:
Data reception module 11: network server receives the label that data collection station is sent based on wireless network connection
The reflected beams data, wherein the label the reflected beams data are the reflected beams data for the optical fiber being laid with underground piping;
In specific implementation process of the present invention, the network server is based on wireless network connection and receives data collection station
The label the reflected beams data sent, comprising: the network server is based on wireless network to described in preset interval time
Data collection station sends the reflected beams acquisition instructions;The data collection station responds the reflected beams acquisition in acquisition and refers to
It enables, acquires the reflected beams data;The data collection station according to data collection station number and collect the reflected beams
Processing is marked in the time of data, obtains label the reflected beams data, and send label reflected light to the network server
Beam data;Network server receives the label the reflected beams data that data collection station is sent based on wireless network.
Specifically, preset interval time is set according to actual conditions in administrative staff, every preset interval time, network clothes
Business device is based on wireless network and sends the reflected beams acquisition instructions to the data collection station, while network server is based on
Instruction of the wireless network to laser transmitter projects laser beam, laser transmitter projects laser beam after meal, and by transmission technology beam
Time be uploaded to network server;Then the reflected beams acquisition that data collection station response to network server sends over refers to
Order initially enters acquisition terminal, acquires the reflected beams data in real time;After collecting the reflected beams data, this collects reflection
The data collection station of beam data is according to itself number and collects the time of the reflected beams data to the reflected beams
Data are marked, to obtain label the reflected beams data, then send label the reflected beams data to network server, so
Network server receives the label the reflected beams data that data collection station sends over based on wireless network afterwards.
Data categorization module 12: for network server receive label the reflected beams data after, according to the mark
Mark information in note the reflected beams data is classified, and obtains type belonging to label the reflected beams data, wherein reflected light
The type of beam data includes Raman scattering light type, Brillouin scattering light type and Rayleigh scattering light type;And
In specific implementation process of the present invention, the mark information according in the label the reflected beams data is divided
Class obtains type belonging to label the reflected beams data, comprising: the network server obtains institute in label the reflected beams data
The number of label;Match cognization, the number are carried out in the reservation database in the network server using the number
The type of corresponding data collection station;Type based on the corresponding data collection station of number is to the label the reflected beams number
According to classifying, type belonging to label the reflected beams data is obtained;Wherein the type of data collection station includes acquisition Raman
Scatter optical terminus, acquisition Brillouin scattering optical terminus and acquisition Rayleigh scattering optical terminus;The type of the reflected beams data includes drawing
Graceful scattering light type, Brillouin scattering light type and Rayleigh scattering light type.
Specifically, network server parses label the reflected beams data, to obtain label the reflected beams data
In the number marked carry out identification matching in reservation database in network server using the number, wherein it is reserved
Type described in data collection station corresponding to the number and number of each data collection station is stored in database,
Middle type includes the position letter of Raman scattering type, Brillouin scattering and Rayleigh scattering type and each data collection station
Breath;Classification described in label the reflected beams data is determined by identifying type belonging to data collection station, then obtains mark
Remember type belonging to the reflected beams data.
Position determination module 13: for being determined according to the mark information in the label the reflected beams data with underground piping
The optical fiber of laying generates the length data of the reflected beams data to data collection station;And optical fiber generates the reflected beams data extremely
The length data of data collection station, which determines, generates the location information that the reflected beams data optical fiber accordingly descends pipeline location;
In specific implementation process of the present invention, it is described according to it is described label the reflected beams data in mark information determine with
The optical fiber that underground piping is laid with generates the length data of the reflected beams data to data collection station, comprising: the network service
Device obtains the number marked in label the reflected beams data;Utilize reserved data of the number in the network server
Match cognization, the location information for numbering corresponding data collection station are carried out in library;According to the corresponding data of the number
The location information of acquisition terminal determines that optical fiber generates the length data of the reflected beams data to data collection station.
Further, the location information according to the corresponding data collection station of the number determines that optical fiber generates reflection
Beam data to data collection station length data, comprising: network server be based on wireless network connection obtain laser to
Optical fiber squeezes into the first time of laser beam;Based on the first time, data collection station collect the reflected beams data when
Between calculate obtain laser beam pass through distance;Using laser beam by distance subtract laser to the data collection station away from
From acquisition first distance;The half for taking first distance is that optical fiber generates the reflected beams data to data collection station
Length data.
Specifically, then network server utilizes the volume by obtaining the number marked in label the reflected beams data
Match cognization is carried out in reservation database number in network server, to obtain the corresponding data collection station of the number
Location information;Then determine that optical fiber generates the reflected beams data according to the location information of the corresponding data collection station of the number
To the length data of data collection station.
Specifically, network server needs to obtain the first time that laser squeezes into laser beam to optical fiber;Using this first
Time and the difference of time for collecting the reflected beams data are multiplied with the light velocity, obtain laser beam by distance, are passed through using laser beam
It crosses the distance that distance subtracts laser to data collection station and obtains first distance, taking the half of first distance is optical fiber
Generate the length data of the reflected beams data to data collection station.
In specific implementation process of the present invention, the optical fiber generates the length number of the reflected beams data to data collection station
According to the location information for determining that generation the reflected beams data optical fiber accordingly descends pipeline location, comprising: obtained in network server
When optical fiber is laid with underground piping, buried pipe road length under the set-up mode and the set-up mode of underground piping is arranged in optical fiber
The ratio of degree and fiber lengths;The reflected beams data are generated to the length data of data collection station and described based on the optical fiber
The location information of underground piping length underground piping corresponding with the ratio-dependent of fiber lengths position under set-up mode.
Specifically, being needed really after obtaining optical fiber and generating length data of the reflected beams data to data collection station
When determining optical fiber and being laid with underground piping, underground piping under the set-up mode and the set-up mode of underground piping is arranged in optical fiber
The ratio of length and fiber lengths;If straight line is arranged in outside pipeline, length ratio is 1:1;The optical fiber and pipeline of spiral setting are long
Degree is than that may be 4:1 or 3:1 etc., this is confirmable when setting and is retained in reservation database, after convenient
It is continuous to call position more changed than determining underground piping situation;Then the reflected beams data to data are generated using optical fiber to acquire
Underground piping length and the ratio of fiber lengths are multiplied under the length data and set-up mode of terminal, and corresponding buried pipe can be obtained
The location information of road position.
Data analysis module 14: corresponding based on type calling belonging to label the reflected beams data for network server
Analysis model carries out the analysis of the reflected beams data, obtains label the reflected beams data correspondence analysis result;
In specific implementation process of the present invention, the network server is based on type tune belonging to label the reflected beams data
The reflected beams data analysis is carried out with corresponding analysis model, obtains label the reflected beams data correspondence analysis result, comprising: institute
It states network server and is based on the corresponding intensity of label the reflected beams data acquisition label the reflected beams data and frequency;According to described
Type belonging to the reflected beams data is marked to call corresponding analysis model to the corresponding intensity of label the reflected beams data and frequency
Rate is analyzed, and label the reflected beams data correspondence analysis result is obtained;Wherein, analysis model is Raman diffused light analysis model
When, label the reflected beams data correspondence analysis result is to generate the fiber optic temperature data of the fiber position of the reflected beams data;Point
When analysis model is Brillouin scattering analysis model, label the reflected beams data correspondence analysis result is to generate the reflected beams data
Fiber position stress;When analysis model is Rayleigh scattering light analysis model, the reflected beams data correspondence analysis is marked
It as a result is the vibration amplitude of the fiber position of generation the reflected beams data.
Specifically, it is anti-to obtain label by carrying out intensity and frequency analysis to label the reflected beams data for network server
The corresponding intensity of irradiating light beam data and frequency;Then label is reflected using analysis model belonging to the label the reflected beams data
The corresponding intensity of beam data and frequency are analyzed, and corresponding analysis result can be obtained, wherein analysis model dissipates for Raman
When penetrating light analysis model, label the reflected beams data correspondence analysis result is the optical fiber for generating the fiber position of the reflected beams data
Temperature data;When analysis model is Brillouin scattering analysis model, label the reflected beams data correspondence analysis result is to generate
The stress of the fiber position of the reflected beams data;When analysis model is Rayleigh scattering light analysis model, the reflected beams are marked
Data correspondence analysis result is to generate the vibration amplitude of the fiber position of the reflected beams data.
Specifically, each analysis model is analyzed in the corresponding collected label the reflected beams data of data collector
The intensity and frequency of those data, obtaining the result is that different, Raman diffused light analysis model is reflected by analysis
The intensity and frequency of light beam come determine generate reflection point optical fiber temperature because the Energy distribution of Raman scattering and temperature are direct
It is related;Brillouin scattering analysis model is to determine the optical fiber for generating reflection point by the intensity and frequency of analysis the reflected beams
Stress because the frequency drift of Brillouin light is directly related with adaptability to changes;It is to pass through analysis that Rayleigh scattering light, which analyzes mould,
The intensity and frequency of the reflected beams determine the vibration amplitude state of the optical fiber for generating reflection point, because of Rayleigh scattering light energy
Periodic distribution is presented along length, phase offset can be occurred by after external shock disturbance.
Pipeline conditions confirmation module 15: for based on described in the corresponding analysis result confirmation of the label the reflected beams data
Generate the underground piping condition information that the reflected beams data optical fiber accordingly descends pipeline location;
It is described based on the corresponding analysis result confirmation of the label the reflected beams data in specific implementation process of the present invention
The underground piping condition information for generating the reflected beams data optical fiber and accordingly descending pipeline location, comprising: utilize the label
The corresponding analysis result of the reflected beams data is compared with preset threshold abnormal in correspondence analysis model;If the label reflection
The corresponding analysis result of beam data is greater than or equal to abnormal preset threshold in correspondence analysis model, then generates the reflected beams data
It is abnormal that optical fiber, which corresponds to the underground piping condition information of underground piping position,;If the corresponding analysis of the label the reflected beams data
As a result it is less than abnormal preset threshold in correspondence analysis model, then generates the ground that the reflected beams data optical fiber accordingly descends pipeline location
Lower pipeline condition information is normal.
Specifically, above-mentioned three types has a critical value, if if when being equal to or more than critical value,
It is therefore compared using analysis result with preset threshold in corresponding analysis type for abnormal conditions, if being equal to or more than,
It is otherwise normal then to be abnormal.
Visualization display module 16: for that will mark the reflected beams data correspondence analysis result, generate the reflected beams data
Optical fiber corresponds to the location information of underground piping position and underground piping condition information is labeled on piping network map, and acquisition can
Depending on change piping network situation map, and push to user management terminal carry out visualization early warning show.
In specific implementation process of the present invention, the position of pipeline location is accordingly descended according to generation the reflected beams data optical fiber
Information finds corresponding location point on piping network map, will mark reflected light by floating-point notation methods on point in the position
Beam data correspondence analysis result and underground piping condition information are labeled in generation the reflected beams data optical fiber and accordingly descend pipeline
The location information of position forms visualization piping network situation map in the corresponding location point of piping network map, then passes through
Paging loading technique push to user management terminal carry out visualization early warning show.
In specific implementation process of the present invention, visualization display module 16: if being also used to manage user within a preset time
Response processing is not carried out to pushing to the visualization early warning that user management terminal is shown and show, then the network server will be to institute
The mobile terminal for stating management user's binding sends early warning information.
Specifically, management user may not show visualization pipe in user management terminal in user management terminal edge
It after road state network map, can not know at the first time, arrangement can not handle at the first time, therefore, user management terminal is aobvious
After showing visualization pipeline conditions network map for a period of time, if management user does not carry out any response processing, then net
Network server sends early warning information by the mobile terminal that mobile communication base station is bound to management user to prompt management to use
Family.
In embodiments of the present invention, acquisition, the analysis of underground piping data are carried out based on big data network technology, and are constructed
Visualization piping network situation map, which pushes to user management terminal, to carry out visualization early warning and show so that management can user it is friendly
The situation of good real time monitoring underground piping, and formulating corresponding counter-measure at the first time, reduce underground piping situation into
One step deteriorates bring heavy losses.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: read-only memory (ROM, ReadOnly Memory), random access memory (RAM, Random Access
Memory), disk or CD etc..
In addition, being provided for the embodiments of the invention a kind of underground pipe network visualization early warning based on network big data above
Method and device is described in detail, and should use specific case herein and carry out to the principle of the present invention and embodiment
It illustrates, the above description of the embodiment is only used to help understand the method for the present invention and its core ideas;Meanwhile for this field
Those skilled in the art, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, to sum up
Described, the contents of this specification are not to be construed as limiting the invention.
Claims (10)
1. a kind of underground pipe network based on network big data visualizes method for early warning, which is characterized in that the described method includes:
Network server receives the label the reflected beams data that data collection station is sent based on wireless network connection, wherein institute
State the reflected beams data that label the reflected beams data are the optical fiber being laid with underground piping;
After network server receives label the reflected beams data, believed according to the label in the label the reflected beams data
Breath is classified, and obtains type belonging to label the reflected beams data, wherein the type of the reflected beams data includes Raman scattering
Light type, Brillouin scattering light type and Rayleigh scattering light type;And
It is determined according to the mark information in the label the reflected beams data and generates the reflected beams with the optical fiber that underground piping is laid with
Data to data collection station length data;And optical fiber generates the length data of the reflected beams data to data collection station
It determines and generates the location information that the reflected beams data optical fiber accordingly descends pipeline location;
Network server calls corresponding analysis model to carry out the reflected beams number based on type belonging to label the reflected beams data
According to analysis, label the reflected beams data correspondence analysis result is obtained;
The generation the reflected beams data optical fiber is confirmed accordingly based on the corresponding analysis result of the label the reflected beams data
The underground piping condition information of lower pipeline location;
The reflected beams data correspondence analysis result, generation the reflected beams data optical fiber will be marked accordingly to descend the position of pipeline location
Information and underground piping condition information are labeled on piping network map, obtain visualization piping network situation map, and push away
Send to user management terminal carry out visualization early warning show.
2. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that the network server is based on
Wireless network connection receives the label the reflected beams data that data collection station is sent, comprising:
The network server is based on wireless network in preset interval time and adopts to data collection station transmission the reflected beams
Collection instruction;
The data collection station responds the reflected beams acquisition instructions in acquisition, acquires the reflected beams data;
The data collection station according to data collection station number and collect time of the reflected beams data and marked
Note processing obtains label the reflected beams data, and sends label the reflected beams data to the network server;
Network server receives the label the reflected beams data that data collection station is sent based on wireless network.
3. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that described anti-according to the label
Mark information in irradiating light beam data is classified, and type belonging to label the reflected beams data is obtained, comprising:
The network server obtains the number marked in label the reflected beams data;
Match cognization is carried out in the reservation database in the network server using the number, it is described to number corresponding number
According to the type of acquisition terminal;
Classified based on the type for numbering corresponding data collection station to the label the reflected beams data, it is anti-to obtain label
Type belonging to irradiating light beam data;
Wherein the type of data collection station includes that acquisition Raman scattering optical terminus, acquisition Brillouin scattering optical terminus and acquisition are auspicious
Benefit scattering optical terminus;The type of the reflected beams data includes that Raman scattering light type, Brillouin scattering light type and Rayleigh dissipate
Penetrate light type.
4. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that described anti-according to the label
Mark information in irradiating light beam data, which is determined, generates the reflected beams data to data collection station with the optical fiber that underground piping is laid with
Length data, comprising:
The network server obtains the number marked in label the reflected beams data;
Match cognization is carried out in the reservation database in the network server using the number, it is described to number corresponding number
According to the location information of acquisition terminal;
Determine that optical fiber generates the reflected beams data to data and adopts according to the location information of the corresponding data collection station of the number
Collect the length data of terminal.
5. underground pipe network according to claim 4 visualizes method for early warning, which is characterized in that described according to the number pair
The location information for the data collection station answered determines that optical fiber generates the length data of the reflected beams data to data collection station, packet
It includes:
Network server squeezes into the first time of laser beam based on wireless network connection acquisition laser to optical fiber;
Based on the first time, data collection station collect the reflected beams data time calculate obtain laser beam pass through away from
From;
The distance for subtracting laser to the data collection station by distance using laser beam, obtains first distance;
The half for taking first distance is length data of the optical fiber generation the reflected beams data to data collection station.
6. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that the optical fiber generates reflected light
The length data of beam data to data collection station determines the position for generating the reflected beams data optical fiber and accordingly descending pipeline location
Information, comprising:
When acquisition optical fiber is laid with underground piping in network server, set-up mode and the institute of underground piping is arranged in optical fiber
State the ratio of underground piping length and fiber lengths under set-up mode;
Underground under the reflected beams data to the length data of data collection station and the set-up mode is generated based on the optical fiber
The location information of duct length underground piping corresponding with the ratio-dependent of fiber lengths position.
7. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that the network server is based on
It marks type belonging to the reflected beams data that corresponding analysis model is called to carry out the analysis of the reflected beams data, obtains label reflection
Beam data correspondence analysis result, comprising:
The network server is based on label the reflected beams data and obtains the corresponding intensity of label the reflected beams data and frequency;
Call corresponding analysis model to label the reflected beams data pair according to type belonging to the label the reflected beams data
The intensity and frequency answered are analyzed, and label the reflected beams data correspondence analysis result is obtained;
Wherein, when analysis model is Raman diffused light analysis model, label the reflected beams data correspondence analysis result is to generate instead
The fiber optic temperature data of the fiber position of irradiating light beam data;When analysis model is Brillouin scattering analysis model, label reflection
Beam data correspondence analysis result is to generate the stress of the fiber position of the reflected beams data;Analysis model is Rayleigh scattering
When light analysis model, label the reflected beams data correspondence analysis result is the vibration width for generating the fiber position of the reflected beams data
Degree.
8. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that described anti-based on the label
The corresponding analysis result of irradiating light beam data confirms that the generation the reflected beams data optical fiber accordingly descends the buried pipe of pipeline location
Road condition information, comprising:
Compared using the corresponding analysis result of the label the reflected beams data and preset threshold abnormal in correspondence analysis model
Compared with;
If the corresponding analysis result of the label the reflected beams data is greater than or equal to abnormal preset threshold in correspondence analysis model,
It is abnormal for then generating the reflected beams data optical fiber and accordingly descending the underground piping condition information of pipeline location;
If the corresponding analysis result of the label the reflected beams data is less than abnormal preset threshold in correspondence analysis model, generate
It is normal that the reflected beams data optical fiber, which accordingly descends the underground piping condition information of pipeline location,.
9. underground pipe network according to claim 1 visualizes method for early warning, which is characterized in that described further include:
If management user does not respond to pushing to the visualization early warning that user management terminal is shown and show within a preset time
Processing, then the mobile terminal bound to the management user is sent early warning information by the network server.
10. a kind of underground pipe network based on network big data visualizes prior-warning device, which is characterized in that described device includes:
Data reception module: network server receives the label reflected light that data collection station is sent based on wireless network connection
Beam data, wherein the label the reflected beams data are the reflected beams data for the optical fiber being laid with underground piping;
Data categorization module: for being reflected according to the label after network server receives label the reflected beams data
Mark information in beam data is classified, and obtains type belonging to label the reflected beams data, wherein the reflected beams data
Type include Raman scattering light type, Brillouin scattering light type and Rayleigh scattering light type;And
Position determination module: for what is be laid with according to the mark information determination in the label the reflected beams data with underground piping
Optical fiber generates the length data of the reflected beams data to data collection station;And optical fiber generates the reflected beams data to data and adopts
The length data of collection terminal, which determines, generates the location information that the reflected beams data optical fiber accordingly descends pipeline location;
Data analysis module: corresponding analysis mould is called based on type belonging to label the reflected beams data for network server
Type carries out the analysis of the reflected beams data, obtains label the reflected beams data correspondence analysis result;
Pipeline conditions confirmation module: for anti-based on the corresponding analysis result confirmation generation of the label the reflected beams data
Irradiating light beam data optical fiber accordingly descends the underground piping condition information of pipeline location;
Visualization display module: for that will mark the reflected beams data correspondence analysis result, generate the reflected beams data optical fiber pair
The location information and underground piping condition information for answering underground piping position are labeled on piping network map, obtain visualization pipe
Road Network status map, and push to user management terminal carry out visualization early warning show.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111981324A (en) * | 2020-07-23 | 2020-11-24 | 深圳市燃气集团股份有限公司 | Pipeline display method and device |
CN116883613A (en) * | 2023-07-11 | 2023-10-13 | 苏州高新区测绘事务所有限公司 | Method and system for generating underground pipe network electronic map |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217558A (en) * | 2014-09-26 | 2014-12-17 | 华中科技大学 | Distributed optical fiber sensing alarm system and data obtaining and processing method thereof |
CN109186800A (en) * | 2018-08-02 | 2019-01-11 | 广东聚源管业实业有限公司 | Pipeline predicting abnormality method and device based on fiber raman scattering light |
CN109238532A (en) * | 2018-08-02 | 2019-01-18 | 广东聚源管业实业有限公司 | Pipeline stress analysis method and system based on optical fiber Brillouin scattering light |
CN109253400A (en) * | 2018-08-02 | 2019-01-22 | 广东聚源管业实业有限公司 | Pipe vibration method for sensing and system based on distributing optical fiber sensing |
CN109595470A (en) * | 2019-01-15 | 2019-04-09 | 广东聚源管业实业有限公司 | A kind of distributed pipeline detection method and system |
-
2019
- 2019-04-19 CN CN201910322887.9A patent/CN110032668A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217558A (en) * | 2014-09-26 | 2014-12-17 | 华中科技大学 | Distributed optical fiber sensing alarm system and data obtaining and processing method thereof |
CN109186800A (en) * | 2018-08-02 | 2019-01-11 | 广东聚源管业实业有限公司 | Pipeline predicting abnormality method and device based on fiber raman scattering light |
CN109238532A (en) * | 2018-08-02 | 2019-01-18 | 广东聚源管业实业有限公司 | Pipeline stress analysis method and system based on optical fiber Brillouin scattering light |
CN109253400A (en) * | 2018-08-02 | 2019-01-22 | 广东聚源管业实业有限公司 | Pipe vibration method for sensing and system based on distributing optical fiber sensing |
CN109595470A (en) * | 2019-01-15 | 2019-04-09 | 广东聚源管业实业有限公司 | A kind of distributed pipeline detection method and system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111981324A (en) * | 2020-07-23 | 2020-11-24 | 深圳市燃气集团股份有限公司 | Pipeline display method and device |
CN116883613A (en) * | 2023-07-11 | 2023-10-13 | 苏州高新区测绘事务所有限公司 | Method and system for generating underground pipe network electronic map |
CN116883613B (en) * | 2023-07-11 | 2024-01-19 | 苏州高新区测绘事务所有限公司 | Method and system for generating underground pipe network electronic map |
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