CN111461569A - Safety management method for pipeline body - Google Patents
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Abstract
The invention provides a pipeline body safety management method based on intelligent evaluation of welding seams and comprehensive analysis of big data, which comprises the following steps: step 1, butting a pipeline digital management system with a weld negative digital management system to realize data sharing, wherein the pipeline digital management system is used for realizing the management of completion data, third-party construction, high-back fruit areas and other information, and the weld negative digital management system realizes the management of a weld electronic negative; step 2, aligning the welding seam bottom sheet with the weld seam information of the completion data according to the position information and the welding seam number so as to realize the functions of abnormal welding seam identification and subsequent processing; and 3, rechecking an internal detection signal of the welding line without the negative film on the basis of rechecking the abnormal internal detection of the welding line with the negative film, finding out the welding line with the abnormality, and performing excavation verification, wherein if the safety operation condition is not met after the excavation, the repairing is performed in time.
Description
Technical Field
The invention relates to the technical field of pipeline management, in particular to a pipeline body safety management method based on intelligent evaluation of welding seams and comprehensive analysis of big data.
Background
In recent years, a plurality of pipeline body safety accidents occur, and serious economic loss and social influence are caused. How to effectively manage the intrinsic safety of the pipeline becomes a problem which needs to be concerned by each pipeline operation company urgently.
The welding seam is an important characteristic of the pipeline and is one of the main reasons of a plurality of accidents, and the quality of the welding seam directly influences the intrinsic safety of the pipeline. Nowadays, research on the aspect of weld negative film digitization has made certain progress, and X-ray image processing, defect identification and analysis are basically realized, but weld nondestructive testing negative film intellectualization, accurate evaluation, timely quality control and application in project construction stage are extremely rare.
At present, most welding seam nondestructive testing negative films are stored at constant temperature and constant humidity and are manually evaluated, a few of welding seam nondestructive testing negative films are stored in an independent system after being electronized by professional equipment, intelligent evaluation cannot be carried out, and comprehensive analysis and evaluation cannot be carried out by combining other big data.
The technical scheme of the Chinese patent CN108665452B pipeline welding seam negative scanning warehousing and welding seam defect identification method and system realizes the scanning warehousing and the defect identification of the welding seam negative, the method realizes the digital management of the prior welding seam negative, but cannot be realized in the aspects of intelligent evaluation and comprehensive evaluation of other big data, and meanwhile, the method cannot manage the welding seam without the negative which is not warehoused. It is necessary to perform comprehensive analysis and evaluation in association with a pipeline digital management system and other big data related to intrinsic safety of the pipeline by combining completion data, internal and external detection conditions, surrounding environment data, high-consequence area data, stress conditions, geological disaster data, parallel pipeline data, stray current interference data and the like.
Meanwhile, in the big data era, the intrinsic safety of the pipeline relates to the aspect, and the judgment is not enough only by the welding seam electronic negative film, especially the pipeline which is put into operation and has incomplete data is as follows: the quality of a welding seam without a bottom plate, the completion data loss in the construction period, the internal and external detection data periodically carried out in the operation period, stress concentration pipe sections, constantly changing peripheral environments, high consequence areas and the like are all factors needing to be considered in intrinsic safety management, and a set of complete method or flow does not exist at present in China. Therefore, it is necessary to perform intelligent evaluation on the welding seam negative film, establish a digital system to realize butt joint with the existing pipeline digital management system, comprehensively analyze and apply pipeline data, and establish a set of pipeline intrinsic safety management method based on intelligent evaluation of welding seams and comprehensive analysis of big data.
Disclosure of Invention
In order to overcome the defects and shortcomings of the prior art, the invention provides a pipeline body safety management method based on intelligent evaluation of welding seams and comprehensive analysis of big data.
The invention aims to provide a pipeline body safety management method based on intelligent evaluation of welding seams and comprehensive analysis of big data, which comprises the following steps:
step 1, butting a pipeline digital management system with a weld negative digital management system to realize data sharing, wherein the pipeline digital management system is used for realizing the management of completion data, third-party construction, high-back fruit areas and other information, and the weld negative digital management system realizes the management of a weld electronic negative;
step 2, aligning the welding seam bottom sheet with the weld seam information of the completion data according to the position information and the welding seam number so as to realize the functions of abnormal welding seam identification and subsequent processing;
and 3, rechecking an internal detection signal of the welding line without the negative film on the basis of rechecking the abnormal internal detection of the welding line with the negative film, finding out the welding line with the abnormality, and performing excavation verification, wherein if the safety operation condition is not met after the excavation, the repairing is performed in time.
Preferably, in the step 1, the way of docking the pipeline digital management system with the weld seam negative digital management system is realized by using an Internet-based database sharing way.
Preferably, the Internet-based database sharing system is provided for the client and the server.
Preferably, the client comprises a pipeline digital management system, a weld negative digital management system, an internal detection data comparison analysis digital system, a pipeline strain monitoring system, a cathodic protection management system, a GIS data management system and a cathodic protection remote monitoring system.
Preferably, the server side includes a Web server, an application server and a database server, the whole server side is based on a Web interface, the middleware is the application server where the service logic is located, and the third layer, the back end is a server in charge of the database, the application server acts as an interaction between the user and the database, and the application server opens the service logic to the client side application program, that is, the system, through various protocols.
Preferably, the Web server provides data sharing service to a plurality of systems of the client, the application server provides business logic to the application program through a plurality of protocol processes, the Web server responds to and processes HTTP requests, hosts a website and stores static content including weld images, CSS, JavaScript, and HTM L pages, the Web server does not support transactions or database connections but has fault tolerance and extensibility functions, and the database server performs data analysis, storage, data processing, archiving and other data management related tasks.
Preferably, where integration with existing databases and servers is desired, application servers, including graphical user interfaces on computers, Web servers, or other application servers, should be used to provide data and code integrity by enabling centralized methods to provide application updates and upgrades. Business logic manages resources and performs security, transactions, resource and connection pooling, and messaging through component APIs, and the application server supports complex database access.
Preferably, the database Server uses ODBC or JDBC protocols and hosts Oracle, SQ L Server, MySQ L databases.
Preferably, the functions of step 2 include:
(1) screening out the welding seams of which the negative film is not matched with the completion data, analyzing and judging the wrong or false negative film and recording the wrong or false negative film;
(2) screening out welding seams with matching negative sheets and completion data, performing conventional management and monitoring on welding seams without abnormality by combining peripheral environment information such as high-back fruit areas, third-party construction and the like provided by a digital management system, and performing excavation verification on welding seams with abnormality, wherein if the welding seams with abnormality do not meet safe operation conditions after excavation, the welding seams are repaired in time;
(3) the internal detection signal is aligned with the welding line with the abnormality, the internal detection signal is rechecked by combining the excavation verification condition, and the identification capability of the internal detection abnormal signal is improved.
Preferably, the step 2 comprises: the pipeline welding seam is divided into a negative film and a non-negative film, the negative film enters a welding seam negative film digital management system, the welding seam negative film is judged to correspond to completion data, if the negative film and the completion data are not matched, unmatched welding seam information such as false films, wrong films and the like is screened out, and then the unmatched welding seam information is recorded; if the two are matched, the pipeline digital management system can judge whether the welding line is abnormal according to environments such as a high fruit area around the pipeline, third-party construction and the like, if the welding line is abnormal, excavation verification is carried out, the result after the excavation verification is further judged whether the welding line is acceptable, the acceptable verification result is monitored in real time, and the unacceptable verification result is repaired; if no welding seam abnormality exists, the system monitors in real time; for the pipeline welding seam without the negative film, a pipeline digital management system is required to judge whether the welding seam is abnormal or not according to an internal detection signal; if the welding seam is abnormal, performing excavation verification, further judging whether the result after the excavation verification is acceptable, performing real-time monitoring on the acceptable verification result, and repairing the unacceptable verification result; and if no weld joint abnormality exists, the system can monitor in real time.
The invention has the beneficial effects that:
1. the invention realizes the digitalization of the welding seam nondestructive testing negative film, solves the storage problem of the welding seam nondestructive testing negative film, avoids loss, yellowing, adhesion or damage, realizes the intelligent evaluation after the digitalization of the welding seam nondestructive testing negative film on the basis of a method and a system for scanning and warehousing the welding seam negative film of a CN108665452B pipeline and identifying the defects of the welding seam, and carries out comprehensive analysis and evaluation by combining completion data, internal and external detection conditions, ambient environment data, high consequence area data, stress conditions, geological disaster data, parallel pipeline data, stray current interference data and the like, thereby providing a set of methods for the intrinsic safety management and evaluation of the pipeline.
2. The safety of the pipeline body is scientifically and systematically managed, and the problem of data island is solved while deep mining, utilization, comprehensive analysis and evaluation of big data are carried out. The weld negative and the pipeline digital information are combined and aligned with the existing digital pipeline maintenance system, the geographic information system, the cathodic protection system, the strain detection system and the internal detection data analysis system, so that the interaction and the utilization of data are realized. The concrete points are as follows: firstly, aligning the nondestructive testing negative films with the welding lines, and screening out black openings (with welding lines and without negative films) and black films (with welding lines and without negative films and with residual negative films), which is a great help for quality control of construction and nondestructive testing contractors during construction and makes up for huge work which cannot be performed manually before; secondly, intelligent evaluation of the welding seam negative film is realized, on one hand, errors caused by manual film evaluation or film evaluation differences caused by technical irregularity are avoided, on the other hand, the working efficiency can be greatly improved, and only spot check and recheck are needed; and thirdly, alignment analysis is carried out on the detection data with the internal detection data and the external detection data, mutual verification is carried out, management is improved, especially, the recognition and quantification level of the internal detection on the welding seam defect signals can be improved, and the recognition rate of the detection signals in the abnormal circumferential welding seam is improved. Aiming at the welding seam without a negative film or the pipe section with missing data, the defect of safety risk is analyzed and screened out by combining the detection data and other big data, the intrinsic safety of the pipeline is improved, and the safe and reliable operation is ensured.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. The objects and features of the present invention will become more apparent in view of the following description taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow diagram of a method according to an embodiment of the invention;
fig. 2 is a diagram of an Internet-based database sharing scheme architecture according to an embodiment of the present invention.
Detailed Description
Referring to fig. 1-2, the pipeline body safety management method based on intelligent weld evaluation and big data comprehensive analysis of the embodiment includes the following steps:
step 1, existing data management systems are mutually independent, and an Internet-based database sharing mode (the architecture is shown in figure 2) is adopted to butt joint a pipeline digital management system and a welding seam negative film digital management system to realize data sharing, wherein the pipeline digital management system is used for realizing the management of completion data, third-party construction, high-back fruit areas and other information, and the welding seam negative film digital management system realizes the management of a welding seam electronic negative film;
step 2, aligning the welding seam negative film with the completion data welding seam information according to the position information and the welding seam number so as to realize the following functions:
(1) screening out the welding seams of which the negative film is not matched with the completion data, analyzing and judging the wrong or false negative film and recording the wrong or false negative film;
(2) screening out welding seams with matching negative sheets and completion data, performing conventional management and monitoring on welding seams without abnormality by combining peripheral environment information such as high-back fruit areas, third-party construction and the like provided by a digital management system, and performing excavation verification on welding seams with abnormality, wherein if the welding seams with abnormality do not meet safe operation conditions after excavation, the welding seams are repaired in time;
(3) the internal detection signal is aligned with the welding line with the abnormality, the internal detection signal is rechecked by combining the excavation verification condition, and the identification capability of the internal detection abnormal signal is improved.
And 3, rechecking an internal detection signal of the welding line without the negative film on the basis of rechecking the abnormal internal detection of the welding line with the negative film, finding out the welding line with the abnormality, and performing excavation verification, wherein if the safety operation condition is not met after the excavation, the repairing is performed in time.
Referring to fig. 1, the pipeline welding seam is divided into a negative film and a non-negative film, the negative film enters a welding seam negative film digital management system, the welding seam negative film is judged corresponding to completion data, if the negative film and the completion data are not matched, unmatched welding seam information such as false films, wrong films and the like is screened out, and then the unmatched welding seam information is recorded; if the two are matched, the pipeline digital management system can judge whether the welding line is abnormal according to environments such as a high fruit area around the pipeline, third-party construction and the like, if the welding line is abnormal, excavation verification is carried out, the result after the excavation verification is further judged whether the welding line is acceptable, the acceptable verification result is monitored in real time, and the unacceptable verification result is repaired; and if no weld joint abnormality exists, the system can monitor in real time.
For the pipeline welding seam without the negative film, the pipeline digital management system is required to judge whether the welding seam is abnormal or not according to the internal detection signal. If the welding seam is abnormal, performing excavation verification, further judging whether the result after the excavation verification is acceptable, performing real-time monitoring on the acceptable verification result, and repairing the unacceptable verification result; and if no weld joint abnormality exists, the system can monitor in real time.
In addition, the internal detection signal is aligned with the welding seam with the abnormality, the internal detection signal is rechecked by combining the excavation verification condition, and the identification capability of the internal detection abnormal signal is improved.
Referring to fig. 2, a diagram of an Internet-based database sharing scheme is presented, wherein the client includes a pipeline digital management system, a weld negative film digital management system, an internal detection data comparison analysis digital system, a pipeline strain monitoring system, a cathode protection management system, a GIS data management system, and a cathode protection remote monitoring system, and the Server includes a Web Server, an application Server, and a database Server, wherein the Web Server provides a data sharing service to a plurality of systems of the client.
In the case where integration with existing databases and servers is required, application servers should be used to provide data and code integrity by enabling a centralized approach to providing application updates and upgrades.
The whole server-side architecture is a Web-based interface, the middleware is an application server where business logic is located, the third layer, the back end, is a server responsible for the database, and the application server acts as the interaction between the user and the database. The application server opens business logic to the client application, i.e., the system, through various protocols. The application server may include a graphical user interface on a computer, Web server, or other application server. Business logic manages resources and performs security, transactions, resource and connection pooling, and message passing through component APIs. Application servers support complex database access.
The embodiment realizes the digitalization of the welding seam nondestructive testing film, solves the storage problem of the welding seam nondestructive testing film, avoids loss, yellowing, adhesion or damage, realizes the intelligent evaluation after the digitalization of the welding seam nondestructive testing film on the basis of a CN108665452B pipeline welding seam film scanning and warehousing and welding seam defect identification method and system, and carries out comprehensive analysis and evaluation by combining completion data, internal and external detection conditions, ambient environment data, high consequence area data, stress conditions, geological disaster data, parallel pipeline data, stray current interference data and the like, thereby providing a set of pipeline intrinsic safety management and evaluation method. The safety of the pipeline body is scientifically and systematically managed, and the problem of data island is solved while deep mining, utilization, comprehensive analysis and evaluation of big data are carried out. The weld negative and the pipeline digital information are combined and aligned with the existing digital pipeline maintenance system, the geographic information system, the cathodic protection system, the strain detection system and the internal detection data analysis system, so that the interaction and the utilization of data are realized. The concrete points are as follows: firstly, aligning the nondestructive testing negative films with the welding lines, and screening out black openings (with welding lines and without negative films) and black films (with welding lines and without negative films and with residual negative films), which is a great help for quality control of construction and nondestructive testing contractors during construction and makes up for huge work which cannot be performed manually before; secondly, intelligent evaluation of the welding seam negative film is realized, on one hand, errors caused by manual film evaluation or film evaluation differences caused by technical irregularity are avoided, on the other hand, the working efficiency can be greatly improved, and only spot check and recheck are needed; and thirdly, alignment analysis is carried out on the detection data with the internal detection data and the external detection data, mutual verification is carried out, management is improved, especially, the recognition and quantification level of the internal detection on the welding seam defect signals can be improved, and the recognition rate of the detection signals in the abnormal circumferential welding seam is improved. Aiming at the welding seam without a negative film or the pipe section with missing data, the defect of safety risk is analyzed and screened out by combining the detection data and other big data, the intrinsic safety of the pipeline is improved, and the safe and reliable operation is ensured.
While the present invention has been described with reference to the particular illustrative embodiments, it is not to be restricted by the embodiments but only by the appended claims. It will be understood by those skilled in the art that variations and modifications of the embodiments of the present invention can be made without departing from the scope and spirit of the invention.
Claims (10)
1. A pipeline body safety management method based on intelligent weld evaluation and big data comprehensive analysis is characterized by comprising the following steps:
step 1, butting a pipeline digital management system with a weld negative digital management system to realize data sharing, wherein the pipeline digital management system is used for realizing the management of completion data, third-party construction, high-back fruit areas and other information, and the weld negative digital management system realizes the management of a weld electronic negative;
step 2, aligning the welding seam bottom sheet with the weld seam information of the completion data according to the position information and the welding seam number so as to realize the functions of abnormal welding seam identification and subsequent processing;
and 3, rechecking an internal detection signal of the welding line without the negative film on the basis of rechecking the abnormal internal detection of the welding line with the negative film, finding out the welding line with the abnormality, and performing excavation verification, wherein if the safety operation condition is not met after the excavation, the repairing is performed in time.
2. The pipeline body safety management method based on intelligent weld joint evaluation and big data comprehensive analysis as claimed in claim 1, characterized in that: in the step 1, the way of butting the pipeline digital management system and the welding seam negative film digital management system is realized by adopting an Internet-based database sharing way.
3. The pipeline body safety management method based on intelligent weld joint evaluation and big data comprehensive analysis as claimed in claim 1, characterized in that: the Internet-based database sharing mode system is provided for the client and the server.
4. The pipeline body safety management method based on intelligent weld joint evaluation and big data comprehensive analysis as claimed in claim 1, characterized in that: the client comprises a pipeline digital management system, a welding seam negative film digital management system, an internal detection data comparison analysis digital system, a pipeline strain monitoring system, a cathode protection management system, a GIS data management system and a cathode protection remote monitoring system.
5. The pipeline body safety management method based on intelligent weld joint evaluation and big data comprehensive analysis as claimed in claim 1, characterized in that: the server side comprises a Web server, an application server and a database server, the whole server side is based on a Web interface, the middleware is the application server where the service logic is located, the third layer is the server which is in charge of the database at the rear end, the application program server is used for interaction between a user and the database, and the application server opens the service logic to the client side application program, namely the system through various protocols.
6. The pipeline ontology security management method based on intelligent evaluation of welding seams and big data comprehensive analysis as claimed in claim 1, wherein the Web server provides data sharing service to multiple systems at the client, the application server provides service logic to the application program through multiple protocol processing, the Web server responds to and processes HTTP request, hosts a website and stores static content including welding seam image, CSS, JavaScript and HTM L pages, the Web server does not support transaction or database connection but has fault tolerance and extensibility functions, and the database server performs data analysis, storage, data processing, archiving and other data management related tasks.
7. The pipeline body safety management method based on intelligent weld joint evaluation and big data comprehensive analysis as claimed in claim 1, characterized in that: where integration with existing databases and servers is required, application servers, including graphical user interfaces on computers, Web servers, or other application servers, should be used to provide data and code integrity by enabling centralized methods to provide application updates and upgrades. Business logic manages resources and performs security, transactions, resource and connection pooling, and messaging through component APIs, and the application server supports complex database access.
8. The pipe body safety management method based on intelligent evaluation of welding seams and big data comprehensive analysis as claimed in claim 1, wherein the database Server uses ODBC or JDBC protocol and hosts Oracle, SQ L Server and MySQ L databases.
9. The pipe body safety management method based on intelligent welding seam evaluation and big data comprehensive analysis as claimed in claim 1, wherein the functions of the step 2 comprise:
(1) screening out the welding seams of which the negative film is not matched with the completion data, analyzing and judging the wrong or false negative film and recording the wrong or false negative film;
(2) screening out welding seams with matching negative sheets and completion data, performing conventional management and monitoring on welding seams without abnormality by combining peripheral environment information such as high-back fruit areas, third-party construction and the like provided by a digital management system, and performing excavation verification on welding seams with abnormality, wherein if the welding seams with abnormality do not meet safe operation conditions after excavation, the welding seams are repaired in time;
(3) the internal detection signal is aligned with the welding line with the abnormality, the internal detection signal is rechecked by combining the excavation verification condition, and the identification capability of the internal detection abnormal signal is improved.
10. The pipe body safety management method based on intelligent welding seam evaluation and big data comprehensive analysis as claimed in claim 1, wherein the step 2 comprises: the pipeline welding seam is divided into a negative film and a non-negative film, the negative film enters a welding seam negative film digital management system, the welding seam negative film is judged to correspond to completion data, if the negative film and the completion data are not matched, unmatched welding seam information such as false films, wrong films and the like is screened out, and then the unmatched welding seam information is recorded; if the two are matched, the pipeline digital management system can judge whether the welding line is abnormal according to environments such as a high fruit area around the pipeline, third-party construction and the like, if the welding line is abnormal, excavation verification is carried out, the result after the excavation verification is further judged whether the welding line is acceptable, the acceptable verification result is monitored in real time, and the unacceptable verification result is repaired; if no welding seam abnormality exists, the system monitors in real time; for the pipeline welding seam without the negative film, a pipeline digital management system is required to judge whether the welding seam is abnormal or not according to an internal detection signal; if the welding seam is abnormal, performing excavation verification, further judging whether the result after the excavation verification is acceptable, performing real-time monitoring on the acceptable verification result, and repairing the unacceptable verification result; and if no weld joint abnormality exists, the system can monitor in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010307256.2A CN111461569B (en) | 2020-04-17 | 2020-04-17 | Safety management method for pipeline body |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010307256.2A CN111461569B (en) | 2020-04-17 | 2020-04-17 | Safety management method for pipeline body |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111461569A true CN111461569A (en) | 2020-07-28 |
| CN111461569B CN111461569B (en) | 2021-02-05 |
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| CN112257633A (en) * | 2020-10-29 | 2021-01-22 | 中国安全生产科学研究院 | Pipeline high-consequence area dynamic identification method based on image identification |
| CN114549836A (en) * | 2022-02-17 | 2022-05-27 | 沈阳派得林科技有限责任公司 | Method for accurately aligning long-distance pipeline radiographic image with internal detection information |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112222690A (en) * | 2020-09-30 | 2021-01-15 | 中石化第四建设有限公司 | Method for establishing pipeline weld joint management information |
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| CN112257633A (en) * | 2020-10-29 | 2021-01-22 | 中国安全生产科学研究院 | Pipeline high-consequence area dynamic identification method based on image identification |
| CN112257633B (en) * | 2020-10-29 | 2023-06-02 | 中国安全生产科学研究院 | Pipeline high-consequence area dynamic identification method based on image identification |
| CN114549836A (en) * | 2022-02-17 | 2022-05-27 | 沈阳派得林科技有限责任公司 | Method for accurately aligning long-distance pipeline radiographic image with internal detection information |
| CN114549836B (en) * | 2022-02-17 | 2024-05-24 | 沈阳派得林科技有限责任公司 | Accurate alignment method for radiographic image and internal detection information of long-distance pipeline |
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