CN101071098A - Underground steel gas pipe network pipeline corrosion prediction system - Google Patents
Underground steel gas pipe network pipeline corrosion prediction system Download PDFInfo
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Abstract
This invention provides a underground steel gas pipeline corrosion prediction system, including pipeline corrosion data management module, pipeline corrosion forecast management module, and system administration module. The pipeline corrosion data management module is installed with a database of basic data storage and pipeline corrosion data, and can realize the pipeline corrosion dynamic management. The above pipeline corrosion forecast management module estimates and forecasts the pipelines corrosion depth, pipeline corrosion remaining wall thickness and residual life of the pipeline corrosion parameter. The system management module can use the system user's management and the database's management to realize the management and maintenance of entire system. Aiming at city gas network buried underground steel pipeline corrosion data mixed diversity, which is difficult to manage achieve control of the key focus for a destination, such as supervision and testing, this invention can make effective data management and corrosion prediction, and provide the gas pipeline risk management effective technical support.
Description
Technical field
The invention belongs to the risk management technology field of gas pipeline, particularly relate to a kind of underground steel gas pipe network pipeline corrosion prediction system.
Technical background
Continuous laying along with oil, natural gas line, the risk management of pipe-line has caused global vast concern, the continuous development of computer software industry has become a kind of trend with the risk management of pipeline with the form of computer software.Domestic speedily carrying out rescue work about gas leak is passive emergency maintenance method at present, still do not have good management system to realize the active management such as evaluation early warning of pipeline risk, particularly do not have effective management system to carry out corrosion prediction to being embedded in underground steel gas pipe.
Summary of the invention
The object of the present invention is to provide a kind of pipeline corrosion prediction system, carry out corrosion prediction to be embedded in underground steel pipe at the gas net, numerous and jumbled various at the imbedded steel pipe corrosion data, the management work difficulty is big, and be difficult for to realize the emphasis pipeline section is carried out practical problems such as emphasis supervision and detection on purpose and the scheme that designs, for the risk management of gas pipeline provides the effect technique support.
In order to realize the foregoing invention purpose, the technical scheme of employing is as follows:
A kind of underground steel gas pipe network pipeline corrosion prediction system comprises corrosive pipeline data management module, pipeline corrosion prediction administration module, system management module; Described corrosive pipeline data management module is provided with the basic data and the corrosion data of database storing pipeline, realizes the dynamic management to corrosive pipeline information; Described pipeline corrosion prediction administration module is to the corrosive pipeline degree of depth, and the corrosion parameter of pipeline residual wall thickness and corrosive pipeline residual life is estimated and predicted; Described system management module is realized administering and maintaining total system by the management and the data base administration of system user.
In the technique scheme, described corrosive pipeline data management module comprises data input, data query module, graphic analyses module, photograph administration module.
Described pipeline corrosion prediction administration module comprises grey GM (1,1) prediction module, index return prediction module; Described grey GM (1,1) prediction module is carried out quantitative forecast to the corrosion data of given time, and described index return prediction module utilization index regression model is made the quantitative forecast of tendency to corrosion data.
Described grey GM (1, the 1) corrosion data that prediction module adopted both can be the equal time sequence, also can be non-equal time sequence.
Described grey GM (1,1) prediction module is also judged grey GM (1,1) modeling accuracy according to residual test result and posteriority difference assay.
Described pipeline corrosion prediction administration module is also realized checking prediction record, saving result, checks figure, is derived the EXCEL operation.
Described corrosive pipeline data management module comprises that to the dynamic management of corrosive pipeline information management of pipeline foundation corrosion data and corrosive pipeline detect data management; Described pipeline foundation corrosion data management comprises the management to pipeline construction overview, pipeline relevant unit, pipeline medium characteristic, pipeline anticorrosion coating construction quality inspection, pipe features parameter, pipeline cathode protection initial parameter, pipeline operational factor; Described corrosive pipeline detects data management and comprises the speedily carry out rescue work management of maintenance record, pipeline anticorrosion coating detection, pipe excavation corrosion condition analysis result of soil corrosion environment, stray current interferences, pipeline cathode protection present situation, corrosive pipeline.
The present invention is by the division of labor coordinated management of corrosive pipeline data management module, pipeline corrosion prediction administration module, system management module, customer service prior art can't be effectively numerous and jumbled various at the imbedded steel pipe corrosion data, and be difficult for to realize the emphasis pipeline section is carried out the on purpose management of practical problems such as emphasis supervision and detection.The present invention both effectively managed the imbedded steel pipe corrosion data, adopt grey GM (1 again, 1) prediction module, two kinds of corrosion prediction models of index return prediction module are to the corrosive pipeline degree of depth, a series of important corrosion parameters such as pipeline residual wall thickness and corrosive pipeline residual life are estimated accurately and are predicted that the supvr who can be pipeline maintenance that predicts the outcome provides decision support.
Description of drawings
Fig. 1 is a module composition diagram of the present invention.
Embodiment
The present invention is described further below in conjunction with accompanying drawing.
Module composition diagram of the present invention comprises data management as shown in Figure 1, corrosion prediction, system management.Described data management comprises data I/O, data query, graphic analyses, photograph management, described corrosion prediction comprises grey GM (1,1) prediction, index return prediction, described system management comprise revises password, increase user, deletion user, data initialization, database maintenance.
What each module was carried out is described in detail as follows:
1, data management module
Described data management module is set up database with the basic data and the corrosion detection data of buried steel gas pipeline, and the keeper can bring in constant renewal in and improve database according to actual conditions, thereby realizes the dynamic management to corrosive pipeline information.Different according to executive mode and information type specifically can be subdivided into following four submodules again:
(11) data input
This module provides hardware input equipment driving interface, carries out manual or automatic data typing by this driving interface from extraneous hardware device.
This module provides user interface simultaneously, be used for the user directly to pipeline foundation corrosion data and corrosive pipeline detect that data two big class data are added, database manipulations such as deletion, modification, preservation, cancellation and renewal.Consider the popularity that Excel uses in current office operation, worked out the importing/export function of Excel tables of data especially, can be in the form of database with the data importing in the outside Excel table of specific format, and the tables of data in the database exported in the outside Excel table with specific format.In addition, also the tables of data in the database can be exported in the text-only file with specific format, preserve, make things convenient for the user in the working environment that MS Office is not installed, equally can browse to duct size information with plain text format.
(12) data query
This module can be selected the data table name for the user by the input pipe segment number, and the corrosion relevant information that can extract certain segment pipe from database is presented on the user interface of application program.This module also provides inquiry in the table, can carry out keyword query at certain specific field in the tables of data, considers the facility that the user operates, and also provides fuzzy query and two kinds of matching ways of accurate inquiry to select for the user.
(13) graphic analyses
This module can realize the actual corrosion damage data of pipeline, grey GM (1,1) predicts the outcome and the inquiry that predicts the outcome of index return, and draw corresponding statistical graph in view of the above, corrosion Characteristics of Development parameters such as maximum (on average) corrosion pit depth, minimum (on average) residual wall thickness are expressed in the mode of scatter diagram, broken line graph, histogram; Also can realize simultaneously chart amplification, dwindle Presentation Function with 3D.By to the longitudinal comparison of same pipeline section different time corrosion condition and the lateral comparison between the same asynchronism(-nization) pipeline section corrosion condition, the user can hold the corrosion development trend of buried pipeline better, attenuate trend as pipeline wall thickness, the situation of change of corrosion rate etc., thus the emphasis pipeline section that can determine seriously corroded is to strengthen supervision or to take certain measure to safeguard.
(14) photograph management
This module can be carried out Classification Management to the photograph relevant with corrosion information that captures in the work of buried steel pipeline management maintenance, in real time preserve, record in database with the form of picture the information relevant in the processes such as the daily detection of pipeline, excavation, replace tubes, maintenance with corrosive pipeline, part as the pipeline archive content, and can create, delete, revise functions such as photograph album information, photographic information and inquiry, for work such as corrosive pipeline accident investigation, pipeline maintenance maintenance from now on provides, intuitively useful information more vivid compared with text description.
2, corrosion prediction module
For the important and serious pipeline of corrosion situation, need the attenuate situation of periodic monitoring pipeline wall thickness.Two kinds of corrosion prediction models that the present invention adopts can be to the corrosive pipeline degree of depth, and a series of important corrosion parameters such as pipeline residual wall thickness and corrosive pipeline residual life are estimated and predicted that the supvr who can be pipeline maintenance that predicts the outcome provides decision support.According to the difference of forecast model, specifically be divided into two submodules:
(21) grey GM (1,1) prediction module
This module is revised traditional grey GM (1,1) model and is expanded, and both can utilize the corrosion data of equal time sequence, also can utilize the data of non-equal time sequence, and the corrosion data of given time is carried out quantitative forecast.Also can judge grey GM (1,1) modeling accuracy, select for use residual error grey GM (1,1) model that master mould is carried out the precision correction in case of necessity according to residual test result and posteriority difference assay.For demonstration that predicts the outcome and file layout, module also provides and checked prediction record, saving result, check figure, derive function such as EXCEL.
(22) index return prediction module
This module utilization index regression model is made the quantitative forecast of tendency to corrosion data.Can pass through inquiry pipeline section information, thereby help the input forecasting institute to need raw information, provide the prediction of the important indicator of sign corrosive pipeline development degree such as corrosion residual life, residual wall thickness, corrosion depth.For demonstration that predicts the outcome and file layout, module also provides and checked prediction record, saving result, check figure, derive function such as EXCEL.
3, system management module
Functions such as this module mainly offers the user's modification password, increases the user, deletion user, data initialization, database maintenance are convenient to the user to the administering and maintaining of system, and the function of each several part is specific as follows:
(31) revise password: employed user name when system obtains the user automatically and logins, input Old Password, new password and affirmation password by the user, system can judge the correctness of user's operation automatically, thereby guarantees user's modification password behaviour's successful realization.
(32) increase the user: this function is used only for the system manager.The keeper is by the input username and password and confirm password, and user right is set, and realizes increasing the user.
(33) deletion user: this function is used only for the system manager.The keeper is by selecting different authorities, and database accesses all user lists that have this authority automatically, realizes deletion action for the keeper.
(34) data initialization: this function is used only for the system manager.After just having brought into use or used a period of time, software to empty logging data, typing new data again, and this will carry out initialization to part or total data in the database, and the partial data or the total data that are about to database empty.
(35) database maintenance: this function is used only for the system manager.Can realize operation with back-end data library backup and restoring data storehouse.
Data management of the present invention comprises that management of pipeline foundation corrosion data and corrosive pipeline detect data management.
The management of pipeline foundation corrosion data comprises the data to seven aspects such as pipeline construction overview, pipeline relevant unit, pipeline medium characteristic, pipeline anticorrosion coating construction quality inspection, pipe features parameter, pipeline cathode protection initial parameter, pipeline operational factors; the supvr can be by command operation equipment; increase, database manipulation such as deletion, modification, preservation, renewal, and can realize the Excel importing of data and the derivation of derivation and text formatting.
Corrosive pipeline detects the data that data management comprises six aspects such as maintenance record, pipeline anticorrosion coating detection, pipe excavation corrosion condition analysis result that soil corrosion environment, stray current interference, pipeline cathode protection present situation, corrosive pipeline speedily carried out rescue work; can be with the supvr by command operation equipment; increase, database manipulation such as deletion, modification, preservation, renewal, and can realize the Excel importing of data and the derivation of derivation and text formatting.
Grey GM (1 in the prediction module, 1) prediction module, the basic ideas of its gray prediction and method are handled by limited, surperficial irregular data being carried out " generation ", utilize the generation data to set up forecast model again, thus the potential rule of exposing system development and change.It is a complex system that ground steel gas ductwork is buried in the city, the corrosion situation is subjected to the influence of many-sided factor, and most of factors usually are random variation, therefore the corrosion system of pipe network can be considered a gray system, carry out gray model by corrosion data and handle, from rambling discrete phenomena, go to excavate the corrosion characteristics amount of gas pipeline such as the inherent law that corrosion speed, corrosion depth etc. develop in time system.
From database, extract the essential informations such as pipeline section numbering, pipeline name, wall thickness and completion date of construction that forecasting institute needs, and the maximum pit degree of depth and average two predicted characteristics parameter indexs of the pit degree of depth by directly obtaining in the on-the-spot detection of data recording device, carry out grey GM (1,1) modeling fast, easily.And can carry out residual test to grey GM (1, the 1) model of setting up by " residual test ", adopt " check of posteriority difference " that the precision of model is carried out quantitative evaluation from little error frequency and two aspects of posteriority difference ratio simultaneously.After model accuracy meets the requirements, then can begin corrosion prediction.Result behind the corrosion prediction preserves into database and result data can be exported to Excel file and two kinds of forms of text, in addition for behind the corrosion prediction, corrodes comparatively serious pipeline, and the present invention also provides alarm function.
Index return prediction module in the prediction module, be that the pipeline operating management department all can need be carried out local excavation's corrosion detection at some weak section at regular intervals, to determine the size and the order of severity of corrosion, take corresponding maintenance game, detecting number of times more after a little while, can be according to the corrosion data analysis corrosion development trend that detects, the approximate corrosion development trend line that simulates of utilization index regression model, from the angle of on-the-spot practicality, for the corrosion prediction of gas ductwork provides useful information.
Essential informations such as the pipeline section numbering that the extraction forecasting institute needs from database, pipeline name, wall thickness, completion date of construction, if there is not relevant information in the database, then also can pass through the set hardware input equipment driving interface of data management module, the user also adopts input equipment manually or automatically to import, in conjunction with the maximum pit degree of depth of from the scene is detected, directly obtaining and average two predicted characteristics parameter indexs of the pit degree of depth, just can carry out the index return forecast modeling quickly and easily.
After having determined modeling data, just can go out the residual life of this pipeline section by prediction and calculation.Predict the outcome and to preserve into database automatically equally, result data can also be exported to Excel file and two kinds of forms of text simultaneously.
Claims (7)
1, a kind of underground steel gas pipe network pipeline corrosion prediction system is characterized in that comprising corrosive pipeline data management module, pipeline corrosion prediction administration module, system management module;
Described corrosive pipeline data management module is provided with the basic data and the corrosion data of database storing pipeline, realizes the dynamic management to corrosive pipeline information;
Described pipeline corrosion prediction administration module is to the corrosive pipeline degree of depth, and the corrosion parameter of pipeline residual wall thickness and corrosive pipeline residual life is estimated and predicted;
Described system management module is realized administering and maintaining total system by the management and the data base administration of system user.
2, underground steel gas pipe network pipeline corrosion prediction system according to claim 1 is characterized in that described corrosive pipeline data management module comprises data input, data query module, graphic analyses module, photograph administration module.
3, underground steel gas pipe network pipeline corrosion prediction system according to claim 1 is characterized in that described pipeline corrosion prediction administration module comprises grey GM (1,1) prediction module, index return prediction module; Described grey GM (1,1) prediction module is carried out quantitative forecast to the corrosion data of given time, and described index return prediction module utilization index regression model is made the quantitative forecast of tendency to corrosion data.
4, underground steel gas pipe network pipeline corrosion prediction system according to claim 1 is characterized in that described grey GM (1, the 1) corrosion data that prediction module adopted both can be the equal time sequence, also can be non-equal time sequence.
5, underground steel gas pipe network pipeline corrosion prediction system according to claim 4 is characterized in that described grey GM (1,1) prediction module also judges grey GM (1,1) modeling accuracy according to residual test result and posteriority difference assay.
6, underground steel gas pipe network pipeline corrosion prediction system according to claim 1 or 5 is characterized in that described pipeline corrosion prediction administration module also realizes checking prediction record, saving result, checks figure, derives the EXCEL operation.
7, underground steel gas pipe network pipeline corrosion prediction system according to claim 1 is characterized in that described corrosive pipeline data management module comprises that to the dynamic management of corrosive pipeline information management of pipeline foundation corrosion data and corrosive pipeline detect data management;
Described pipeline foundation corrosion data management comprises the management to pipeline construction overview, pipeline relevant unit, pipeline medium characteristic, pipeline anticorrosion coating construction quality inspection, pipe features parameter, pipeline cathode protection initial parameter, pipeline operational factor;
Described corrosive pipeline detects data management and comprises the speedily carry out rescue work management of maintenance record, pipeline anticorrosion coating detection, pipe excavation corrosion condition analysis result of soil corrosion environment, stray current interferences, pipeline cathode protection present situation, corrosive pipeline.
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| US7941282B2 (en) | 2008-08-01 | 2011-05-10 | Bp Exploration Operating Company Limited | Estimating worst case corrosion in a pipeline |
| CN102829331A (en) * | 2012-08-09 | 2012-12-19 | 北京中盈安信技术服务有限公司 | Efficient safety maintenance management method for oil and gas pipelines |
| CN103499438A (en) * | 2013-09-25 | 2014-01-08 | 南京工业大学 | Material adaptability evaluation method based on residual life |
| CN103632058A (en) * | 2013-12-03 | 2014-03-12 | 中国特种设备检测研究院 | Dynamic risk evaluation system of pressure-bearing device |
| CN104331752A (en) * | 2014-11-26 | 2015-02-04 | 国家电网公司 | Atmospheric corrosion prediction system for power transmission and transformation equipment |
| CN104636585A (en) * | 2013-11-15 | 2015-05-20 | 中国石油天然气集团公司 | Environment risk quantitative management method of oil gas long-distance pipeline |
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