CN201229289Y - Corrosion predicting device - Google Patents

Corrosion predicting device Download PDF

Info

Publication number
CN201229289Y
CN201229289Y CNU2008200494976U CN200820049497U CN201229289Y CN 201229289 Y CN201229289 Y CN 201229289Y CN U2008200494976 U CNU2008200494976 U CN U2008200494976U CN 200820049497 U CN200820049497 U CN 200820049497U CN 201229289 Y CN201229289 Y CN 201229289Y
Authority
CN
China
Prior art keywords
corrosion
pipeline
data
unit
module
Prior art date
Application number
CNU2008200494976U
Other languages
Chinese (zh)
Inventor
许俊城
黄崇智
温浩胜
袁金彪
伍波
李秀怀
李军
陈国华
宋新志
周剑峰
Original Assignee
广州市煤气公司
华南理工大学
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 广州市煤气公司, 华南理工大学 filed Critical 广州市煤气公司
Priority to CNU2008200494976U priority Critical patent/CN201229289Y/en
Application granted granted Critical
Publication of CN201229289Y publication Critical patent/CN201229289Y/en

Links

Abstract

The utility model discloses a corrosion forecasting device which comprises an underground gas pipeline corrosion state measuring unit, a log-in unit and a forecasting unit, wherein the underground gas pipeline corrosion state measuring unit is connected with the log-in unit through a data wire, and the log-in unit is connected with the forecasting unit through a network. The corrosion forecasting device effectively overcomes the defect that the prior art can manage practical problems that major monitoring and detection with aims to major tube sections can not be easily realized and the like aiming at the numerous and jumbled buried steel pipeline corrosion data through a set of complete devices and in particular through cooperation of modules in the forecasting unit, date is completely and effectively managed, corrosion is forecasted, and effective technical support is provided for corrosion early warming management of gas pipelines.

Description

A kind of corrosion prediction device
Technical field
The utility model relates to a kind of device of predicting underground gas pipeline corrosion situation.
Technical background
Along with the continuous laying of oil, natural gas line, the risk management of pipe-line has caused the corrosion situation of global vast concern, especially underground gas pipeline, and is very important to the safe operation of whole pipe network.
The imbedded steel pipe corrosion data are numerous and jumbled various, and the management work difficulty is big, and are difficult for the emphasis pipeline section carried out practical problems such as autotelic emphasis supervision and detection and design, and can not realize the risk management of gas pipeline.
At present domesticly leak about underground steel gas pipe network pipeline corrosion that to speedily carry out rescue work be passive emergency maintenance method, but the imbedded steel pipe corrosion data are numerous and jumbled various, the management work difficulty is big, and be difficult for the emphasis pipeline section carried out practical problems such as autotelic emphasis supervision and detection and design, still there is not good prognoses system to realize active management such as underground steel gas pipe network pipeline corrosion early warning, can not realize the risk management of gas pipeline, flourish incompatible with the gas cause.
Along with the continuous development of computer science and technology, make and utilize the integrated prediction that is applied to underground gas pipeline corrosion situation of computer system functions module to become possibility.The applicant expects to invent a kind of system and device and finishes the monitoring of underground gas pipeline corrosion situation, analyzes computing, obtains the passive emergency maintenance present situation that suitable result solves present underground gas pipeline.
The utility model content
The purpose of this utility model is to provide a kind of corrosion prediction device, utilizes by joining each unit of network, is embedded in underground steel pipe at the gas net and carries out corrosion prediction.
To achieve these goals, the technical scheme of employing is as follows:
A kind of corrosion prediction device is provided, comprises underground gas pipeline etch state measuring unit, typing unit and predicting unit; Described underground gas pipeline etch state measuring unit is connected by data line with the typing unit; Described typing unit is connected with predicting unit by network; Described device also comprises output unit.
Described output unit comprises printer, warning device or display device.
Described predicting unit is finished corrosion prediction work by the cooperation of corrosive pipeline data management module, pipeline corrosion prediction administration module and system management module.
Described corrosive pipeline data management module comprises data input and output module, data query module, graphic analyses module and photograph administration module.
Described pipeline corrosion prediction administration module comprises grey GM (1,1) prediction module and index return prediction module.
The typing unit can be connected by LAN (Local Area Network) with predicting unit, also can be connected by the internet.
Underground gas pipeline etch state measuring unit comprises conventional detecting instrument, and the data of measurement comprise 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;
The data of gathering are landed input predicting unit in back by data line input typing unit by LAN (Local Area Network) or internet.Predicting unit is handled data by the cooperation between the module, and the output result.
Corrosive pipeline data management module in the predicting unit, it is provided with the basic data and the corrosion data of database storing pipeline, realizes the dynamic management to corrosive pipeline information; The 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; System management module is realized administering and maintaining total system by the management and the data base administration of system user.
Grey GM (1,1) prediction module is carried out quantitative forecast to the corrosion data of given time, and index return prediction module utilization index regression model is made the quantitative forecast of tendency to corrosion data.
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.
Grey GM (1,1) prediction module is also judged grey GM (1,1) modeling accuracy according to residual test result and posteriority difference assay.
The pipeline corrosion prediction administration module is also realized checking prediction record, saving result, checks figure, is derived the EXCEL operation.
The 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 beneficial effects of the utility model are:
The utility model pin is by the division of labor coordinated management of the corrosive pipeline data management module in complete device, the especially predicting unit of a cover, pipeline corrosion prediction administration module, system management module, having overcome prior art can't be effectively numerous and jumbled various at the imbedded steel pipe corrosion data, and is difficult for realizing the emphasis pipeline section is carried out the on purpose management of practical problems such as emphasis supervision and detection.The utility model was both effectively managed the imbedded steel pipe corrosion data, the grey GM (1 that is provided with in the predicting unit, 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 system architecture synoptic diagram of the present utility model
Modular structure synoptic diagram in Fig. 2 the utility model predicting unit
Embodiment
Below in conjunction with the drawings and specific embodiments the utility model is described further.
Embodiment 1
Steel gas pipe network pipeline carries out the pilot experiment of the utility model device under institute of Gas Co Ltd of Guangzhou City jurisdiction.
A kind of corrosion prediction device as shown in Figure 1 comprises underground gas pipeline etch state measuring unit 1, typing unit 2 and predicting unit 3; Described underground gas pipeline etch state measuring unit 1 is connected by data line 4 with typing unit 2; Described typing unit 2 is connected with predicting unit 3 by network 5.
Underground gas pipeline etch state measuring unit 1 comprises conventional surveying instrument 6 and the monitoring instrument 7 that uses; Typing unit 2 is a robot calculator in the present embodiment, and predicting unit 3 is a computer system, comprises corrosive pipeline data management module 8, pipeline corrosion prediction administration module 13, system management module 16.
Described corrosive pipeline data management module 8 comprises data input and output module 9, data query module 10, graphic analyses module 11 and photograph administration module 12, described corrosion prediction administration module 13 comprises grey GM (1,1) prediction module 14 and index return prediction module 15, described system management module 16 comprise to be revised crypto module 17, increase line module 18 and deletes line module 19, data initialization module 20 and database maintenance module 21.
The process that each module is cooperated in the predicting unit 3 is described in detail as follows:
1, the corrosive pipeline data management module 8
Described corrosive pipeline data management module 8 is set up database with the basic data and the corrosion detection data of buried steel gas pipeline, basic data comprises the pipeline construction overview, pipeline relevant unit, the pipeline medium characteristic, pipeline anticorrosion coating construction quality inspection, the pipe features parameter, the pipeline cathode protection initial parameter, the data of seven aspects such as pipeline operational factor, corrosion detect data and comprise the soil corrosion environment, stray current disturbs, the pipeline cathode protection present situation, the corrosive pipeline maintenance record of speedily carrying out rescue work, pipeline anticorrosion coating detects, the data of six aspects such as pipe excavation corrosion condition analysis result; Database manipulations such as the supvr can increase by command operation equipment, deletion, modification, preservation, renewal, and can realize the Excel importing of data and the derivation of derivation and text formatting; 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:
(1) data input 9
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.
(2) the data query module 10
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.
(3) graphic analyses module 11
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.
(4) the photograph administration module 12
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, the pipeline corrosion prediction administration module 13
For the important and serious pipeline of corrosion situation, need the attenuate situation of periodic monitoring pipeline wall thickness.Two kinds of corrosion prediction administration modules that the utility model adopts can be 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 and are 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:
(1) grey GM (1,1) prediction module 14
Grey GM (1,1) prediction module, its gray prediction is handled by limited, surperficial irregular data being carried out " generation ", utilizes 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, and database also can export to result data Excel file and two kinds of forms of text.
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.
(2) the index return prediction module 15
The index return 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 be by the set hardware input equipment driving interface input of data management module, 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.
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 16
This module mainly is provided with to the user's modification password, increases modules such as user, deletion user, data initialization, database maintenance, is convenient to the user to the administering and maintaining of system, and the attainable function of each several part is specific as follows:
(1) revises crypto module 17: 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.
(2) increase line module 18: use 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.
(3) deletion line module 19: use 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.
(4) the data initialization module 20: use 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.
(5) the database maintenance module 21: this module is used only for the system manager.Can realize operation with back-end data library backup and restoring data storehouse.
Described device also comprises output unit 22, and described output unit 22 comprises printer 23, warning device 24 or display device 25.Especially for the comparatively serious pipeline of corrosion, the utility model provides functions such as alarm, display screen prompting.

Claims (3)

1, a kind of corrosion prediction device is characterized in that comprising underground gas pipeline etch state measuring unit, typing unit and predicting unit; Described underground gas pipeline etch state measuring unit is connected by data line with the typing unit; Described typing unit is connected with predicting unit by network.
2,, it is characterized in that described device also comprises output unit according to the described corrosion prediction device of claim 1.
3,, it is characterized in that described output unit comprises printer, warning device or display device according to the described corrosion prediction device of claim 1.
CNU2008200494976U 2008-06-20 2008-06-20 Corrosion predicting device CN201229289Y (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNU2008200494976U CN201229289Y (en) 2008-06-20 2008-06-20 Corrosion predicting device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNU2008200494976U CN201229289Y (en) 2008-06-20 2008-06-20 Corrosion predicting device

Publications (1)

Publication Number Publication Date
CN201229289Y true CN201229289Y (en) 2009-04-29

Family

ID=40634232

Family Applications (1)

Application Number Title Priority Date Filing Date
CNU2008200494976U CN201229289Y (en) 2008-06-20 2008-06-20 Corrosion predicting device

Country Status (1)

Country Link
CN (1) CN201229289Y (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102305352A (en) * 2011-05-31 2012-01-04 西南石油大学 Online monitoring system for corrosion state of oil and gas pipelines and method thereof
CN106932334A (en) * 2015-12-30 2017-07-07 中国石油天然气股份有限公司 The Forecasting Methodology of Oil and gas station process pipe extent of corrosion
CN108343844A (en) * 2017-01-24 2018-07-31 中国石油化工股份有限公司 A kind of Multi-parameter modularized oil-gas pipeline safety monitoring system and method
CN110082287A (en) * 2019-06-10 2019-08-02 中石化炼化工程(集团)股份有限公司 Corrosion monitoring method for early warning, device and server
WO2019191138A1 (en) * 2018-03-28 2019-10-03 Fracta Predicting pipe failure

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102305352A (en) * 2011-05-31 2012-01-04 西南石油大学 Online monitoring system for corrosion state of oil and gas pipelines and method thereof
CN106932334A (en) * 2015-12-30 2017-07-07 中国石油天然气股份有限公司 The Forecasting Methodology of Oil and gas station process pipe extent of corrosion
CN108343844A (en) * 2017-01-24 2018-07-31 中国石油化工股份有限公司 A kind of Multi-parameter modularized oil-gas pipeline safety monitoring system and method
WO2019191138A1 (en) * 2018-03-28 2019-10-03 Fracta Predicting pipe failure
CN110082287A (en) * 2019-06-10 2019-08-02 中石化炼化工程(集团)股份有限公司 Corrosion monitoring method for early warning, device and server

Similar Documents

Publication Publication Date Title
Song et al. Environmental performance evaluation with big data: Theories and methods
Wang et al. Bayesian perspective on geotechnical variability and site characterization
Park et al. A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template
GhaffarianHoseini et al. Application of nD BIM Integrated Knowledge-based Building Management System (BIM-IKBMS) for inspecting post-construction energy efficiency
Igos et al. How to treat uncertainties in life cycle assessment studies?
Ostfeld et al. Battle of the water calibration networks
Whateley et al. A climate change range‐based method for estimating robustness for water resources supply
Florac et al. Measuring the software process: statistical process control for software process improvement
Oberkampf et al. Predictive capability maturity model for computational modeling and simulation
Zhang et al. Extension of Hassan and Wolff method for system reliability analysis of soil slopes
Weisheimer et al. Addressing model error through atmospheric stochastic physical parametrizations: Impact on the coupled ECMWF seasonal forecasting system
Yang et al. Assessment of water resources carrying capacity for sustainable development based on a system dynamics model: a case study of Tieling City, China
Goulet et al. Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks
Zhang et al. Towards a fuzzy Bayesian network based approach for safety risk analysis of tunnel‐induced pipeline damage
Behzadian et al. Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
EP1982046B1 (en) Methods, systems, and computer-readable media for real-time oil and gas field production optimization using a proxy simulator
WO2015176565A1 (en) Method for predicting faults in electrical equipment based on multi-dimension time series
US7698076B2 (en) System to manage maintenance of a pipeline structure, program product, and related methods
Lee et al. A linked data system framework for sharing construction defect information using ontologies and BIM environments
AU2007211291B2 (en) Methods, systems, and computer-readable media for fast updating of oil and gas field production models with physical and proxy simulators
Chen et al. A new seasonal design flood method based on bivariate joint distribution of flood magnitude and date of occurrence
CA2852953C (en) Systems and methods for subsurface oil recovery optimization
US20130124171A1 (en) Systems and methods for predicting well performance
Poulakis et al. Leakage detection in water pipe networks using a Bayesian probabilistic framework
RU2705012C1 (en) Systems and methods for estimating and optimizing efficiency of stimulation using bypass devices

Legal Events

Date Code Title Description
GR01 Patent grant
C14 Grant of patent or utility model
TR01 Transfer of patent right

Effective date of registration: 20170619

Address after: 510623, room 3, 2301 Linjiang Road, Guangzhou, Guangdong, Tianhe District

Co-patentee after: South China University of Technology

Patentee after: Guangzhou Gas Group Co., Ltd.

Address before: 510060, one of No. 416 East Ring Road, Guangzhou, Guangdong

Co-patentee before: South China University of Technology

Patentee before: Gas Co., Ltd. of Guangzhou City

TR01 Transfer of patent right
CX01 Expiry of patent term

Granted publication date: 20090429

CX01 Expiry of patent term