CN108052540A - A kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems - Google Patents
A kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems Download PDFInfo
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- CN108052540A CN108052540A CN201711173121.6A CN201711173121A CN108052540A CN 108052540 A CN108052540 A CN 108052540A CN 201711173121 A CN201711173121 A CN 201711173121A CN 108052540 A CN108052540 A CN 108052540A
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/14—Pipes
Abstract
The present invention provides a kind of pipeline fault anticipation based on GIS pipe network systems and preprocess methods, belong to pipe technology field.It solves the problems, such as that the prior art can not prejudge pipeline fault and provide pretreating scheme.This method includes：Collect the history water data of each user in GIS pipe network systems；The history water data of each user of collection is stored into system and establishes database；Data in database establish each user with the relevant mathematical model of regimen condition；Monitor the use regimen condition of each user in real time, actual used water data are added to user and are analyzed in water mathematical model, whether judge user exception occurs with water by the actual used water data of the user in record unit time section；Early warning is carried out when judging that user's actual used water data occur abnormal, while pretreating scheme is proposed according to abnormal conditions.This method can judge pipeline fault and provide the scheme for solving failure in advance, be conducive to the care and maintenance of pipeline in pipe network.
Description
Technical field
The invention belongs to pipe technology fields, are related to a kind of pipeline fault anticipation and pretreatment based on GIS pipe network systems
Method.
Background technology
Present urban development is swift and violent, and city is given, drainage pipeline is laid with complexity and intensive.City water pipe is all embedded in ground substantially
Under, there are larger difficulties for monitoring and detection usually.It, substantially will be in region during the problems such as being ruptured now to processing tube road
All pipelines all dig out replacement, it is time-consuming and laborious expensive.Existing equipment is using manually discrimination water pipe EXIT POINT or makes
Water pipe EXIT POINT is obtained with pipe robot is mobile in water pipe.It is higher using the error rate of manual type, and what is obtained goes out
Water spot is relatively fuzzyyer；Being only capable of being detected when leak occurs using the mode of pipe robot cannot accomplish to monitor in real time, and
Pipe robot, which runs to leakage point, needs certain time extremely to influence repairing speed.Above-mentioned detection and processing for pipe network is all
Be based on the discovery that is just carried out after failure, can not accomplish to be prejudged or pre-processed before the failure occurs, thus also without
Method reduces loss caused by accident of pipeline network.
The content of the invention
The purpose of the present invention is being directed to existing technology, there are the above problems, it is proposed that a kind of based on GIS pipe network systems
Pipeline fault prejudges and preprocess method, and pipeline fault anticipation that should be based on GIS pipe network systems to be solved with preprocess method
The technical issues of be：How the failure that pipe network may occur in advance is prejudged and pre-processed.
The purpose of the present invention can be realized by following technical proposal：A kind of pipeline fault based on GIS pipe network systems is pre-
Sentence and preprocess method, which is characterized in that this method includes：Collect the history water data of each user in GIS pipe network systems；It will
The history water data of each user collected stores into system and establishes database；Data in database establish each use
The family relevant mathematical model of regimen condition；Monitor the use regimen condition of each user in real time, the reality of the user in record unit time section
Actual used water data are added to user and are analyzed in water mathematical model by border water data, judge user with water whether
Occur abnormal；Early warning is carried out when judging that user's actual used water data occur abnormal, while pre- place is proposed according to abnormal conditions
Reason scheme.
The pipeline fault anticipation of the present invention, by gathering mass data and establishing database, then passes through with preprocess method
Establish Related Mathematical Models so that the data that pipe network detects more simple and convenient can must carry out failure anticipation, be directed to simultaneously
Failure provides pretreating scheme, and accident of pipeline network is enable to find advanced processing in advance, reduces loss caused by accident of pipeline network.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the database is also
History service record data including pipe network, each user's geographical location information data and pipe network property parameters.History maintenance record,
User geographical location and pipe network property parameters can make mathematical model to the anticipation of accident of pipeline network type more precisely, failure occurs
Time anticipation it is more accurate.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, each user's regimen
The relevant mathematical model of condition includes Ageing Model, rapid wear model and accident treatment model, and the Ageing Model is according to pipe network
The data statistic analysis of history maintenance record is established, and the Ageing Model is for analysis of history service record data and the category of pipe network
Relation between property parameter；The rapid wear model to pipe network property parameters by carrying out statistics foundation, for analyzing in pipe network easily
Damage the information of pipeline section；The accident treatment model goes out the bottleneck pipeline section in pipe network by spatial statistics Association Rule Analysis, and right
The bottleneck pipeline section provides pretreating scheme.By establishing above three model, aging anticipation, rapid wear anticipation can be formed and provided
The Trinitarian processing mode of processing scheme, the judgement and processing of failure are more comprehensively reliable.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the history repair
Record includes repairing pipeline section geographical location and repairs details.By recording the geographical location of repair pipeline section and repair details, help
In the accuracy of geographical location and fault type residing for failure judgement pipeline section.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the pipe network attribute
Parameter includes ductwork pressure information, pipe network flow information, soil corrosivity data, corrosive pipeline protection data, tubing corrosion guarantor
It protects data and whether pipeline is in soaking state.Pipeline section local environment can be reflected by above-mentioned parameter comprehensively, make breakdown judge
Foundation it is more comprehensively reliable, judging result is more accurate.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the pretreatment side
Case includes being analyzed according to pipe network property parameters, and prediction most easily leads to the factor of pipe network rupture or leakage, and provide exclusion it is related because
The prompting of element.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the pretreatment side
Case, which is further included, according to the relation between the history maintenance record of pipe network and pipe network property parameters, predicts that next phase needs the pipe safeguarded
Section, and provide the geographical location information of the pipeline section.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the pretreatment side
Case is further included by analyzing pressure and flow information in pipe network, judges whether the failure model in being recorded with foregoing history
Match somebody with somebody, predict the pipeline section most possibly to fail in following half a year or 1 year, and provide the geographical location information of the pipeline section.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the pretreatment side
Case is further included provides water supply network prioritization scheme by combining space statistical analysis and daily water supply data, improves water application efficiency.
In above-mentioned a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, the pretreatment side
Case is further included according to real-time data analysis, is switched the valve in corresponding pipeline section, is avoided rapid wear pipeline section.
Compared with prior art, the pipeline fault anticipation of the invention based on GIS pipe network systems has with preprocess method
Advantages below：In GIS pipe network systems, the correlations such as information and the information of pipe network repair and leak detection for substantial amounts of pipeline network GIS
Data can establish the mathematical model of dependent event or production run index, be excavated by substantial amounts of mathematical model related to analysis
The possibility that the reasonability or event of index occur is the decision commanding service of manager, realizes " pipeline that can be thought deeply ", improves
The convenience and promptness of pipeline management are conducive to the timely maintenance of pipe network, reduce loss, and reduce maintenance cost.
Description of the drawings
Fig. 1 is the anticipation of the pipeline fault based on GIS pipe network systems of the present invention and the flow chart of preprocess method.
Specific embodiment
It is specific embodiments of the present invention and with reference to attached drawing below, technical scheme is further described,
But the present invention is not limited to these embodiments.
It is as shown in Figure 1, as follows with preprocess method based on the pipeline fault anticipation of GIS pipe network systems：
Data acquisition:Collect the history water data of each user in GIS pipe network systems；
Establish database：The history water data of each user of collection is stored into system and establishes database；
Founding mathematical models：Data in database establish each user with the relevant mathematical model of regimen condition；
Failure prejudges：Monitor the use regimen condition of each user in real time, the actual used water number of the user in record unit time section
According to actual used water data are added to user and are analyzed in water mathematical model, whether judge user exception occurs with water；
Pretreating scheme is provided：Early warning is carried out when judging that user's actual used water data occur abnormal, while according to different
Reason condition proposes pretreating scheme.
In the methods described above, history service record data, each user geographical location letter of pipe network are further included in database
Data and pipe network property parameters are ceased, enough make mathematical model more smart to the anticipation of accident of pipeline network type by obtaining above-mentioned data
The anticipation for the time that accurate, failure occurs is more accurate.
Specifically, each user includes Ageing Model, rapid wear model and accident treatment with the relevant mathematical model of regimen condition
Model, Ageing Model are established according to the data statistic analysis of the history maintenance record to pipe network, and Ageing Model is used for analysis of history
Relation between service record data and the property parameters of pipe network；Rapid wear model is built by the way that pipe network property parameters are carried out with statistics
It is vertical, for analyzing the information of rapid wear pipeline section in pipe network；Accident treatment model is gone out by spatial statistics Association Rule Analysis in pipe network
Bottleneck pipeline section, and to the bottleneck pipeline section provide pretreating scheme.By establishing above three model, it is pre- aging can be formed
Sentence, rapid wear anticipation and provide the Trinitarian processing mode of processing scheme, the judgement and processing of failure are more comprehensively reliable.History is tieed up
Repairing record includes repairing pipeline section geographical location and repairs details.By recording the geographical location of repair pipeline section and repair details, have
Help the accuracy of geographical location and fault type residing for failure judgement pipeline section.Pipe network property parameters include ductwork pressure information,
Whether pipe network flow information, soil corrosivity data, corrosive pipeline protection data, tubing corrosion protection data and pipeline are in leaching
Blister state.Pipeline section local environment can be reflected by above-mentioned parameter comprehensively, the foundation for making breakdown judge is more comprehensively reliable, judges to tie
Fruit is more accurate.
Pretreating scheme have it is multinomial, it is specific as follows：
1st, analyzed according to pipe network property parameters, prediction most easily leads to the factor of pipe network rupture or leakage, and provides exclusion phase
The prompting of pass factor.
2nd, according to the relation between the history maintenance record of pipe network and pipe network property parameters, predict that next phase needs what is safeguarded
Pipeline section, and provide the geographical location information of the pipeline section.
3rd, by analyzing pressure and flow information in pipe network, the failure model in being recorded with foregoing history is judged whether
Match somebody with somebody, predict the pipeline section most possibly to fail in following half a year or 1 year, and provide the geographical location information of the pipeline section.
4th, water supply network prioritization scheme is provided by combining space statistical analysis and daily water supply data, improves the effect that supplies water
Rate.
5th, according to real-time data analysis, the valve in corresponding pipeline section is switched, avoids rapid wear pipeline section.
The pipeline fault anticipation of the present invention, by gathering mass data and establishing database, then passes through with preprocess method
Establish Related Mathematical Models so that the data that pipe network detects more simple and convenient can must carry out failure anticipation, be directed to simultaneously
Failure provides 5 type pretreating schemes, and accident of pipeline network is enable to find advanced processing in advance, reduces damage caused by accident of pipeline network
It loses.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led
The technical staff in domain can do various modifications or additions to described specific embodiment or replace in a similar way
Generation, but without departing from spirit of the invention or beyond the scope of the appended claims.
Claims (10)
1. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems, which is characterized in that this method includes：It receives
Collect the history water data of each user in GIS pipe network systems；The history water data of each user of collection is stored into system
And establish database；Data in database establish each user with the relevant mathematical model of regimen condition；Each use is monitored in real time
Actual used water data are added to user and used by the use regimen condition at family, the actual used water data of the user in record unit time section
It is analyzed in water mathematical model, whether judge user exception occurs with water；Judging the appearance of user's actual used water data
Early warning is carried out when abnormal, while pretreating scheme is proposed according to abnormal conditions.
2. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to claim 1, feature
It is, the database further includes the history service record data, each user's geographical location information data and pipe network attribute of pipe network
Parameter.
3. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to claim 2, feature
It is, each user includes Ageing Model, rapid wear model and accident treatment model, the aging with the relevant mathematical model of regimen condition
Model is established according to the data statistic analysis of the history maintenance record to pipe network, and the Ageing Model is for analysis of history repair note
Record the relation between data and the property parameters of pipe network；The rapid wear model by carrying out statistics foundation to pipe network property parameters,
For analyzing the information of rapid wear pipeline section in pipe network；The accident treatment model is gone out by spatial statistics Association Rule Analysis in pipe network
Bottleneck pipeline section, and to the bottleneck pipeline section provide pretreating scheme.
4. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to Claims 2 or 3,
It is characterized in that, the history maintenance record includes repair pipeline section geographical location and repair details.
5. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to Claims 2 or 3,
It is characterized in that, it is rotten that the pipe network property parameters include ductwork pressure information, pipe network flow information, soil corrosivity data, pipeline
Whether erosion protection data, tubing corrosion protection data and pipeline are in soaking state.
6. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to Claims 2 or 3,
It is characterized in that, the pretreating scheme includes being analyzed according to pipe network property parameters, predicts what is most easily led to pipe network rupture or leak
Factor, and provide the prompting for excluding correlative factor.
7. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to Claims 2 or 3,
It being characterized in that, the pretreating scheme is further included according to the relation between the history maintenance record of pipe network and pipe network property parameters,
It predicts that next phase needs the pipeline section safeguarded, and provides the geographical location information of the pipeline section.
8. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to claim 5, feature
It is, the pretreating scheme is further included by analyzing pressure and flow information in pipe network, judges whether to remember with foregoing history
Failure model matching in record, predicts the pipeline section most possibly to fail in following half a year or 1 year, and provides the geography of the pipeline section
Location information.
9. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to claim 8, feature
It is, the pretreating scheme is further included provides water supply network optimization side by combining space statistical analysis and daily water supply data
Case improves water application efficiency.
10. a kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems according to claim 8, special
Sign is that the pretreating scheme is further included according to real-time data analysis, switchs the valve in corresponding pipeline section, avoids rapid wear pipe
Section.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711173121.6A CN108052540A (en) | 2017-11-22 | 2017-11-22 | A kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711173121.6A CN108052540A (en) | 2017-11-22 | 2017-11-22 | A kind of pipeline fault anticipation and preprocess method based on GIS pipe network systems |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805359A (en) * | 2018-06-15 | 2018-11-13 | 新奥泛能网络科技有限公司 | A kind of failure pre-judging method and device |
| CN108843977A (en) * | 2018-06-28 | 2018-11-20 | 武汉新烽光电股份有限公司 | The real-time leakage loss analysis method of water supply network, equipment, system and storage medium |
| CN109816428A (en) * | 2018-12-18 | 2019-05-28 | 深圳市东深电子股份有限公司 | A kind of water per analysis system and method based on big data machine learning |
| CN112597263A (en) * | 2021-03-03 | 2021-04-02 | 浙江和达科技股份有限公司 | Pipe network detection data abnormity judgment method and system |
-
2017
- 2017-11-22 CN CN201711173121.6A patent/CN108052540A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805359A (en) * | 2018-06-15 | 2018-11-13 | 新奥泛能网络科技有限公司 | A kind of failure pre-judging method and device |
| CN108843977A (en) * | 2018-06-28 | 2018-11-20 | 武汉新烽光电股份有限公司 | The real-time leakage loss analysis method of water supply network, equipment, system and storage medium |
| CN109816428A (en) * | 2018-12-18 | 2019-05-28 | 深圳市东深电子股份有限公司 | A kind of water per analysis system and method based on big data machine learning |
| CN112597263A (en) * | 2021-03-03 | 2021-04-02 | 浙江和达科技股份有限公司 | Pipe network detection data abnormity judgment method and system |
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