CN117408645A - Ultrasonic thickness gauge pipeline corrosion inspection method based on digital label - Google Patents
Ultrasonic thickness gauge pipeline corrosion inspection method based on digital label Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention discloses a pipeline corrosion inspection method of an ultrasonic thickness gauge based on a digital tag, which is characterized in that pipeline inspection point information is digitized through the digital tag, after pipeline wall thickness and corrosion state are detected by the ultrasonic thickness gauge, digital tag numbers and detection results are transmitted to a digital management platform through wireless, and a inspector does not have the right to modify data, so that the data is real and reliable, the digital management platform consists of pipeline corrosion management software, a database, an analysis model and a server, and the digital management platform carries out authority hierarchical management on operators to form a pipeline corrosion inspection task reporting, auditing, issuing and executing one-stop closed-loop system. The digital management platform adopts a big data mode, establishes the spatial correlation and the time correlation of the detection data, has the functions of data analysis, residual life prediction, pressure calculation and early warning grade, and forms an intelligent and digital corrosion detection management method.
Description
Technical Field
The invention belongs to the field of pipeline corrosion detection, and particularly relates to an ultrasonic thickness meter pipeline corrosion inspection method based on a digital label.
Background
The transport pipeline of oil and gas is one of the most important components in terms of pipeline transportation. The system is the most rapid, most convenient and most economical transportation mode for continuously conveying a large amount of oil and gas resources. However, the corrosive liquid gas contained in the oil gas can corrode the pipeline, and huge waste and economic loss can be caused when serious, and once the oil gas leaks, serious resource waste can be caused, so that the life and property safety of people is endangered. Especially, the pipeline in the limited space leaks, which directly causes accidents such as explosion.
In order to meet the requirements of management and detection of oil and gas pipelines, the prior art discloses a device and a method for detecting corrosion of the inner wall of a pipeline, which are named as CN201710031388.5, and the device and the method are used for better detecting the problems of local corrosion such as sediment, abrasion corrosion and the like in the pipeline and the problem of local corrosion of a welding line area; meanwhile, the coupling effect between the corrosion areas along the pipeline direction can be obtained by detecting the galvanic current between the annular sections, so that the local corrosion along the pipeline circumferential direction can be detected.
CN202310745803.9, "a method, an apparatus and a system for detecting pipeline corrosion", sets up a digital twin model of an oil-gas pipeline, and after the pipeline enters an operation stage, synchronizes real-time dynamic data of a plurality of areas in the pipeline to the digital twin by collecting the real-time dynamic data of the areas, so as to realize dynamic real-time data mapping between the digital twin and the pipeline, thereby being capable of calculating and analyzing according to current dynamic data in the digital twin, and detecting the corrosion degree in the pipeline. CN202311105953.X A method and a system for detecting and alarming corrosion of pipeline conveying equipment, analyzing real-time characteristic data of the pipeline conveying equipment obtained by dynamic acquisition of the detection acquisition module by the data arrangement center, and obtaining a first corrosion detection result of the pipeline conveying equipment.
Although the prior art can provide corresponding data support for pipeline corrosion, no effective solution is provided for standardization of an artificial pipeline inspection process, digitization of inspection data management, inspection task declaration, approval and implementation intellectualization. In summary, the pipe corrosion detection technology in the prior art still has the following problems to be solved:
1) The randomness of personnel inspection is high; the current industry mainly adopts a manual inspection mode to carry out corrosion detection, and the manual inspection route and detection operation have great uncontrollability due to the problem of personnel responsibility and cannot guarantee the reliability of data;
2) Pipeline detection is not standard; setting a detection part of a pipeline, detecting operation flows are not standard, and errors exist in measurement data of different patrol personnel;
3) The equipment data type recording mode has risks; the detection personnel records the detection data on paper and then records the detection data into the system, so that the risk of recording errors exists;
4) The personnel inspection route and the time lack unified management and scheduling, and linkage cannot be formed among equipment, personnel and data;
5) Lack of digital system construction; the corrosion detection data are recorded by means of regular inspection, the data are single, and the analysis method is not strict;
based on the above factors, the scientific method for detecting the pipeline corrosion is still a key problem to be solved urgently in the technical field of pipeline management and detection.
In view of the above factors, an ultrasonic thickness meter pipeline corrosion inspection method based on a digital label is designed, and the risks of unreliable data and input errors of detection personnel are avoided by adopting a digital label card punching and data one-key uploading mode; adopting a management platform to realize detection task reporting, auditing, publishing and executing one-stop closed-loop management; and adopting a big data analysis model to deeply mine the data correlation and analyze the corrosion state of the pipeline.
Disclosure of Invention
The invention aims to provide a digital-tag-based ultrasonic thickness meter pipeline corrosion inspection method for solving the problems in the background technology.
The invention aims at realizing the following technical scheme: the ultrasonic thickness meter pipeline corrosion inspection method based on the digital label is characterized in that pipeline inspection point information is digitized through the digital label, after the ultrasonic thickness meter is used for detecting the wall thickness and corrosion state of the pipeline, the digital label number and the detection result are transmitted to a digital management platform through wireless, and inspection personnel are not authorized to modify data, so that the data is real and reliable;
the digital management platform consists of pipeline corrosion management software, a database, an analysis model and a server, wherein the system software is a B/S framework, and a website is input on a browser to be operated by using the software;
hierarchical management is carried out on the authority of an operator through a digital management platform, so that a pipeline corrosion detection task reporting, auditing, publishing and executing one-stop closed-loop system is formed;
the digital management platform adopts a big data mode, establishes the spatial correlation and the time correlation of the detection data, has the functions of data analysis, residual life prediction, pressure calculation and early warning grade, and forms an intelligent and digital corrosion detection management method.
Further, the digital tag realizes the digitization of the pipeline detection point information, and comprises the following steps:
s101, planning a detection position, comprehensively researching and judging point position sections and quantity by combining enterprise requirements and site conditions, searching dangerous points in a detection area to serve as the detection position, and deploying digital labels in the detection position;
s102, inputting a digital label identification code into a digital management platform database, and corresponding the section position information, the original wall thickness information, the material parameters, the production time and the point position number information of the detection point position with the digital label in the database.
Further, the application of the digital management platform comprises the following steps:
s103, the digital management platform has a authority hierarchical management function, authority levels are divided into high, medium and low, 1 is established for high-level authorities, the authority levels are responsible for approval and release of the inspection task of the whole platform, the medium-level authorities are set for a plurality of authorities according to factory management staff, the authority levels are responsible for reporting and distributing the inspection task, and the low-level authorities are used for the inspection staff to execute the inspection task and complete the task marking task;
s104, on the digital management platform, a manager determines the detection frequency according to the inspection plan and the corrosion speed, and establishes inspection task approval, release and execution, and plans an inspection route and daily detection points of the manager;
s105, after a patrol personnel receives a task at a mobile terminal, the patrol personnel arrive at a specified detection point, a digital label scanning module is arranged in an ultrasonic thickness meter to scan a digital label of the detection point, the detection can be started after the digital label is identified, the thickness of the pipe wall is tested, after the detected data is stable, the number, the thickness value, the waveform data, the patrol personnel information and the detection time of the digital label are uploaded to the mobile terminal, the mobile terminal uploads the digital label to a digital management platform, the platform marks that the detection task is completed, the patrol personnel have no right to modify the data in the whole process, and the reality and reliability of the data are ensured;
the mobile terminal comprises a mobile phone or a tablet.
Further, the digital management platform comprises the following steps:
s106, the digital management platform stores, processes and generates a standing book for the detection data, analyzes the corrosion rate, the bearing force and the residual service life of the pipeline, generates pipeline early warning levels, and is divided into green normal, 1-level blue early warning, 2-level yellow early warning and 3-level red early warning states, prompts management personnel in a mode of displaying colors and sending Email through a screen, and makes a pipeline maintenance plan in time;
s107, the digital management platform provides a data analysis report of each month, which comprises the following steps: the system is characterized by comprising the following components of system operation conditions, monthly corrosion analysis, alarm prompt and anti-corrosion suggestion.
Further, a pipeline corrosion online detection database built by system software of the B/S framework establishes a detection data spatial correlation and time phase relation, and comprises the following big data analysis:
calculating the corrosion rate by the initial thickness and the detection thickness;
predicting the residual life, and calculating the residual life of the pipeline through a big data model;
early warning of corrosion state, and carrying out state early warning according to the corrosion rate and the detection result;
the corrosion database comprises two parts, namely equipment self information and detection information.
Further, the pipeline corrosion online detection database further comprises:
in the first stage of data analysis, corrosion rate prediction: carrying out space correlation and time correlation analysis through a gray model algorithm, processing corrosion measured values of different detection points of the same pipeline, optimizing prediction model parameters through a genetic algorithm, generating a regular data sequence, and establishing a gray model for corrosion rate prediction;
and (3) in the second stage of data analysis, predicting the residual life: factors influencing the corrosion of the petrochemical pipeline storage tank comprise corrosive media, working temperature, flow velocity, the trend of the pipeline and materials, a large amount of data detected by different points are used as a learning training sample, and each influencing factor and a corresponding corrosion rate value in the pipeline are used as learning training samples to establish a residual life prediction model of the gathering and transportation pipeline;
in the third stage of data analysis, the corresponding relationship between the corrosion defect and the ultrasonic waveform: through simulation analysis and experiments, a corresponding relation between corrosion defect characteristics and ultrasonic waveform data is established, so that the corrosion grade and corrosion characteristics of the pipeline are judged through the corrosion waveform data.
Furthermore, the digital management platform is accessed to the existing management platform through an interface opened by a client based on a standard protocol API interface, wherein the access request response of the ultrasonic thickness gauge, the server and the database is managed and scheduled uniformly through the API interface.
According to the invention, the pipeline detection point information is digitized through the digital tag, the ultrasonic thickness gauge is used for detecting the wall thickness and the corrosion state of the pipeline, the digital tag number and the detection result are transmitted to the digital management platform through wireless, and the inspector is not authorized to modify the data, so that the data is real and reliable.
Compared with the prior art, the invention has the beneficial effects that:
the invention establishes the corresponding relation between the digital label and the pipeline detection position, changes the traditional manual recording detection data into the automatic recording detection data of the inspection equipment, and eliminates the risks of manual recording and input errors.
According to the invention, the electronic check-in function of the inspection personnel in the detection process is realized through the digital management platform, and after the inspection personnel arrives at the detection position and the digital label is successfully identified, the pipeline corrosion detection operation is carried out, so that the risks of personnel out of place and data falsification are eliminated.
The invention adopts the digital label to integrate the detection information into the database, establishes the correlation of the detection point space and the correlation of time, and adopts the analysis method of big data to analyze the corrosion rate, the bearing capacity and the residual life of the pipeline.
The management platform is used for carrying out hierarchical management on the authority of the operator, so that a one-stop closed loop system for reporting, auditing, publishing and executing the pipeline corrosion detection task is formed.
Drawings
FIG. 1 is a schematic diagram of the construction flow of the digitizing system of the invention;
FIG. 2 is a schematic flow chart of an ultrasonic thickness gauge and a digital management platform according to the invention;
FIG. 3 is a schematic diagram of a corrosion database of the present invention;
FIG. 4 is a hierarchical management schematic diagram of a management platform according to the present invention;
FIG. 5 is a schematic diagram showing the analysis of data according to the present invention;
FIG. 6 is a schematic diagram of a node monitoring ledger of the present invention;
FIG. 7 is a schematic diagram illustrating an analysis of a detection point of a slag discharge elbow of a 2381 (electromagnetic) stripping tower according to the present invention;
FIG. 8 is a schematic diagram illustrating the analysis of the detection point of the oil-doped branch line 63 according to the present invention;
FIG. 9 is a schematic view of ultrasonic detection waveforms of a right-side position defect of a crack according to the present invention;
FIG. 10 is a schematic view of ultrasonic detection waveforms of crack axis position defects according to the present invention;
FIG. 11 is a schematic diagram of a containerized deployment of the present invention;
fig. 12 is a schematic diagram of an access to a conventional management platform according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
As shown in fig. 1-12, the ultrasonic thickness meter pipeline corrosion inspection method based on the digital label digitizes pipeline inspection point information through the digital label, and after the ultrasonic thickness meter is used for detecting the pipeline wall thickness and corrosion state, the digital label number and the detection result are transmitted to the digital management platform through wireless, and the inspector does not have the right to modify the data, so that the data is real and reliable;
the digital management platform consists of pipeline corrosion management software, a database, an analysis model and a server, wherein the system software is a B/S framework, and a website is input on a browser to be operated by using the software;
hierarchical management is carried out on the authority of an operator through a digital management platform, so that a pipeline corrosion detection task reporting, auditing, publishing and executing one-stop closed-loop system is formed;
the digital management platform adopts a big data mode, establishes the spatial correlation and the time correlation of the detection data, has the functions of data analysis, residual life prediction, pressure calculation and early warning grade, and forms an intelligent and digital corrosion detection management method.
The digital management platform adopts a big data mode to establish the realization of the spatial correlation and the time correlation of the detection data, and the spatial correlation is based on the digital management platform to display a plurality of detection points in a cloud chart or table form, namely, as shown in fig. 6, the number of each different detection point is displayed by the digital management platform; the time correlation is based on the digital management platform, and the information of each different detection point location is marked in a form of time of year, month, day and time so as to be convenient for observation and storage and convenient for subsequent call comparison.
The ultrasonic thickness gauge is a pen-type electromagnetic ultrasonic thickness gauge (manufactured by Harbin Changchun ultrasonic instrument technology Co., ltd.) and adopts an OLED screen/broken code tube screen, a wifi module is built in, and the data real-time transmission measurement accuracy is 0.01 and mm.
The invention discloses a method for inspecting pipeline corrosion of an ultrasonic thickness gauge based on a digital label, which comprises the following steps:
s101, planning a detection position, comprehensively researching and judging point position sections and quantity by combining enterprise requirements and site conditions, searching dangerous points in a detection area to serve as the detection position, and deploying digital labels in the detection position;
s102, inputting a digital tag identification code into a digital management platform database, and corresponding the section position, the original wall thickness, the material parameters, the production time and the point position number of the detection point position with the digital tag in the database;
s103, the digital management platform has a authority hierarchical management function, authority levels are divided into high, medium and low, 1 is established for high-level authorities, the authority levels are responsible for approval and release of the inspection task of the whole platform, the medium-level authorities are set for a plurality of authorities according to factory management staff, the authority levels are responsible for reporting and distributing the inspection task, and the low-level authorities are used for the inspection staff to execute the inspection task and complete the task marking task;
s104, on the digital management platform, a manager determines the detection frequency according to the inspection plan and the corrosion speed, and establishes inspection task approval, release and execution, and plans an inspection route and daily detection points of the manager;
s105, after a patrol personnel receives a task at a mobile terminal, the patrol personnel arrive at a specified detection point, a digital label scanning module is arranged in an ultrasonic thickness meter to scan a digital label of the detection point, the detection can be started after the digital label is identified, the thickness of the pipe wall is tested, after the detected data is stable, the number, the thickness value, the waveform data, the patrol personnel information and the detection time of the digital label are uploaded to the mobile terminal, the mobile terminal uploads the digital label to a digital management platform, the platform marks that the detection task is completed, the patrol personnel have no right to modify the data in the whole process, and the reality and reliability of the data are ensured;
the mobile terminal comprises a mobile phone or a tablet;
s106, the digital management platform stores, processes and generates a standing book for the detection data, analyzes the corrosion rate, the bearing force and the residual service life of the pipeline, generates pipeline early warning levels, and is divided into green normal, 1-level blue early warning, 2-level yellow early warning and 3-level red early warning states, prompts management personnel in a mode of displaying colors and sending Email through a screen, and makes a pipeline maintenance plan in time;
s107, the digital management platform provides a data analysis report of each month, which comprises the following steps: the system is characterized by comprising the following components of system operation conditions, monthly corrosion analysis, alarm prompt and anti-corrosion suggestion.
Detailed description of the preferred embodiments
The ultrasonic thickness gauge pipeline corrosion inspection method based on the digital label comprises the following steps:
s101, planning a detection position, comprehensively researching and judging point position sections and quantity by combining enterprise requirements and site conditions, searching dangerous points in a detection area to serve as the detection position, and deploying digital labels in the detection position;
s102, inputting a digital tag identification code into a digital management platform database, and corresponding the section position, the original wall thickness, the material parameters, the production time and the point position number of the detection point position with the digital tag in the database;
s103, the digital management platform has a authority hierarchical management function, authority levels are divided into high, medium and low, 1 is established for high-level authorities, the authority levels are responsible for approval and release of the inspection task of the whole platform, the medium-level authorities are set for a plurality of authorities according to factory management staff, the authority levels are responsible for reporting and distributing the inspection task, and the low-level authorities are used for the inspection staff to execute the inspection task and complete the task marking task;
s104, on the digital management platform, a manager determines the detection frequency according to the inspection plan and the corrosion speed, and establishes inspection task approval, release and execution, and plans an inspection route and daily detection points of the manager;
s105, after a patrol personnel receives a task at a mobile terminal, the patrol personnel arrive at a specified detection point, a digital label scanning module is arranged in an ultrasonic thickness meter to scan a digital label of the detection point, the detection can be started after the digital label is identified, the thickness of the pipe wall is tested, after the detected data is stable, the number, the thickness value, the waveform data, the patrol personnel information and the detection time of the digital label are uploaded to the mobile terminal, the mobile terminal uploads the digital label to a digital management platform, the platform marks that the detection task is completed, the patrol personnel have no right to modify the data in the whole process, and the reality and reliability of the data are ensured;
the mobile terminal comprises a mobile phone or a tablet;
s106, the digital management platform stores, processes and generates a standing book for the detection data, analyzes the corrosion rate, the bearing force and the residual service life of the pipeline, generates pipeline early warning levels, and is divided into green normal, 1-level blue early warning, 2-level yellow early warning and 3-level red early warning states, prompts management personnel in a mode of displaying colors and sending Email through a screen, and makes a pipeline maintenance plan in time;
s107, the digital management platform provides a data analysis report of each month, which comprises the following steps: the system is characterized by comprising the following components of system operation conditions, monthly corrosion analysis, alarm prompt and anti-corrosion suggestion.
The ultrasonic thickness gauge and the digital management platform are combined through the digital label to form an informationized corrosion detection method, so that digital and intelligent unified management of corrosion detection of the storage tank and the pipeline is realized.
By using the ultrasonic thickness gauge pipeline corrosion inspection method based on the digital label, monitoring points are: 2381 Digital management of corrosion inspection of deslagging elbow of (electromagnetic) stripping tower;
as shown in fig. 7, the database of the digital management platform stores digital tag identification code information (2381 electromagnetic stripping tower slag discharge elbow related information), and the section position information, the original wall thickness information, the material parameters, the production time and the point position number information of the detection point position are corresponding to the digital tag in the database;
on the digital management platform, the digital management platform determines the detection frequency according to the inspection plan and the corrosion speed by the authority hierarchical management function, and establishes inspection tasks, approval, release and execution;
after the inspection personnel receive the task at the mobile terminal, the inspection personnel arrive at a specified detection point, a digital label scanning module is arranged in the ultrasonic thickness gauge, a digital label on a slag discharge elbow of the 2381 electromagnetic stripping tower is scanned, the detection can be started after the digital label is identified, the thickness of the pipe wall is tested, after the detection data are stable, the digital label number, the thickness value, the waveform data, the inspection personnel information and the detection time of the slag discharge elbow of the 2381 electromagnetic stripping tower are uploaded to the mobile terminal, the mobile terminal is uploaded to a digital management platform, and the platform marks that the detection task is completed.
The patrol personnel have no right to modify the data in the whole process, so that the data is true and reliable.
The ultrasonic thickness gauge is connected to the mobile terminal through a built-in WiFi module, digital labels on slag discharge bent heads of the 2381 electromagnetic stripping tower are scanned, the digital labels are uploaded to the mobile terminal through WiFi (digital label numbers, thickness values, waveform data, patrol personnel information and detection time), the mobile terminal is uploaded to a digital management platform, and the platform marks that the detection task is completed.
The digital management platform analyzes the uploaded data, stores and processes the detected data, generates a standing book (a slag discharge elbow information list of the 2381 electromagnetic stripping tower), performs trend analysis, analyzes the corrosion rate, bearing force and residual service life of a pipeline, and accordingly generates pipeline early warning levels which are divided into green normal, 1-level blue early warning, 2-level yellow early warning and 3-level red early warning states, prompts management personnel in a mode of displaying colors and sending Email through a screen, and makes a pipeline maintenance plan in time.
The digital management platform analyzes the residual service life through a gray model, and if the corrosion rate of the 2381 electromagnetic stripping tower slag discharge elbow meets the gray model requirement of corrosion rate prediction, pipeline early warning levels are generated according to the corrosion condition of the 2381 electromagnetic stripping tower slag discharge elbow, and different levels are distinguished through different colors.
As shown in FIG. 7, the uploaded data was analyzed by a digital management platform, and the corrosion rate of the 2381 electromagnetic stripper slag discharge elbow was 32.3 mm/year residual life (minimum thickness 3 mm) 0.4 years.
The digital management platform provides data analysis reports for each month, including: the operation condition of the system, the monthly corrosion analysis, the alarm prompt and the corrosion prevention suggestion are derived from relevant data through a corrosion monitoring system upper computer V2.01.
The digital management platform is realized based on an upper computer V2.01 of a corrosion monitoring system of Harbin Changchun ultrasonic instrument technology Co.
The pipeline corrosion on-line detection database built by the system software of the B/S framework carries out data analysis on the information acquired by the ultrasonic thickness gauge:
the corrosion database is established to realize accurate analysis of corrosion data and early warn the corrosion danger of the pipeline in time.
Calculating the corrosion rate by the initial thickness and the detection thickness;
predicting the residual life, and calculating the residual life of the pipeline through a big data model;
early warning of corrosion state, and carrying out state early warning according to the corrosion rate and the detection result;
the corrosion database comprises two parts, namely equipment self information and detection information, wherein the equipment self information comprises dimension specifications, material models, manufacturers, oil gas components and maintenance records; the detection information comprises identification points, detection dates, detection personnel, detection equipment and wall thickness data.
Pipeline corrosion inspection method based on digital label and pipeline corrosion on-line detection database further comprises:
in the first stage of data analysis, corrosion rate prediction: carrying out space correlation and time correlation analysis through a gray model algorithm, processing corrosion measured values of different detection points of the same pipeline, optimizing prediction model parameters through a genetic algorithm, generating a regular data sequence, and establishing a gray model for corrosion rate prediction;
and (3) in the second stage of data analysis, predicting the residual life: factors influencing the corrosion of the petrochemical pipeline storage tank comprise corrosive media, working temperature, flow velocity, the trend of the pipeline and materials, a large amount of data detected by different points are used as a learning training sample, and each influencing factor and a corresponding corrosion rate value in the pipeline are used as learning training samples to establish a residual life prediction model of the gathering and transportation pipeline;
in the third stage of data analysis, the corresponding relationship between the corrosion defect and the ultrasonic waveform: through simulation analysis and experiments, a corresponding relation between corrosion defect characteristics and ultrasonic waveform data is established, so that the corrosion grade and corrosion characteristics of the pipeline are judged through the corrosion waveform data.
Through the data analysis, the purpose of online detection of corrosion of the pipeline to be detected is achieved.
The ultrasonic thickness gauge and the digital management platform are combined through the digital tag to form an informationized corrosion detection method, a hierarchical management mechanism is realized through the digital management platform, the hierarchical management is divided into a high-level authority, a medium-level authority and a primary authority, the data authority of an operator is subjected to hierarchical management, analysis detection data are formed, a detection task is issued, a one-stop closed loop system for collecting the detection data is adopted, the influence caused by subjective factors of personnel experience is reduced, and the management is convenient.
The ultrasonic thickness meter is connected with the mobile phone and the flat plate in a wireless way, after a patrol personnel receives a task, the patrol personnel starts to carry out patrol, and the digital label deployed on the pipeline is scanned through the ultrasonic thickness meter, wherein patrol data comprise section position information of detection points, original wall thickness information, point number information, patrol personnel information, detection time, task number, waveform data and the like, and the detection data of the ultrasonic thickness meter are uploaded to the digital management platform.
Second embodiment
Unlike the first embodiment;
by using the ultrasonic thickness gauge pipeline corrosion inspection method based on the digital label, monitoring points are: for monitoring points: 63, digital management of corrosion inspection of the oil-doped branch line;
as shown in fig. 8, the database of the digital management platform stores digital tag identification code information (63 oil-doped branch related information), and the section position information, the original wall thickness information, the material parameters, the production time and the point number information of the detection point position are corresponding to the digital tag in the database;
on the digital management platform, the digital management platform determines the detection frequency according to the inspection plan and the corrosion speed by the authority hierarchical management function, and establishes inspection tasks, approval, release and execution;
after the inspection personnel receive the task, the inspection personnel arrive at a specified detection point, the digital label on the oil-doped branch line is scanned 63 through a digital label scanning module arranged in the ultrasonic thickness meter, the detection can be started after the digital label is identified, the thickness of the pipe wall is tested, after the detected data are stable, the number, the thickness value, the waveform data, the inspection personnel information and the detection time of the digital label of the oil-doped branch line 63 are uploaded to the mobile terminal, the mobile terminal is uploaded to a digital management platform, and the platform marks that the detection task is completed.
The patrol personnel have no right to modify the data in the whole process, so that the data is true and reliable.
The ultrasonic thickness gauge is connected to the mobile terminal through a built-in WiFi module, scans 63 the digital tag on the oil-doped branch line, uploads the digital tag number, the thickness value, the waveform data, the patrol personnel information and the detection time to the mobile terminal through WiFi, and uploads the digital tag number, the thickness value, the waveform data, the patrol personnel information and the detection time to the digital management platform, and the platform marks that the detection task is completed.
The digital management platform analyzes the uploaded data, stores and processes the detected data, generates a standing book (63 is doped with an oil branch line digital information list), performs trend analysis, analyzes the corrosion rate, bearing force and residual service life of a pipeline, and accordingly generates pipeline early warning levels which are divided into green normal, 1-level blue early warning, 2-level yellow early warning and 3-level red early warning states, prompts management personnel in a mode of displaying colors and sending Email through a screen, and makes a pipeline maintenance plan in time.
And the digital management platform analyzes the residual service life through a gray model, and if the corrosion rate of the 63 oil-doped branch line meets the gray model requirement of corrosion rate prediction, pipeline early warning levels are generated according to the corrosion condition of the 63 oil-doped branch line, and different levels are distinguished through different colors.
As shown in FIG. 8, the uploaded data was analyzed by a digital management platform, and the 63-spike corrosion rate was 0.00 mm/year estimated residual life (the existing data did not satisfy the computational model) was 20.0 years.
The digital management platform provides data analysis reports for each month, including: the operation condition of the system, the monthly corrosion analysis, the alarm prompt and the corrosion prevention suggestion are derived from relevant data through a corrosion monitoring system upper computer V2.01.
The digital management platform is realized based on an upper computer V2.01 of a corrosion monitoring system of Harbin Changchun ultrasonic instrument technology Co.
The pipeline corrosion on-line detection database built by the system software of the B/S framework carries out data analysis on the information acquired by the ultrasonic thickness gauge:
the corrosion database is established to realize accurate analysis of corrosion data and early warn the corrosion danger of the pipeline in time.
Calculating the corrosion rate by the initial thickness and the detection thickness;
predicting the residual life, and calculating the residual life of the pipeline through a big data model;
early warning of corrosion state, and carrying out state early warning according to the corrosion rate and the detection result;
the corrosion database comprises two parts, namely equipment self information and detection information, wherein the equipment self information comprises dimension specifications, material models, manufacturers, oil gas components and maintenance records; the detection information comprises identification points, detection dates, detection personnel, detection equipment and wall thickness data.
Pipeline corrosion inspection method based on digital label and pipeline corrosion on-line detection database further comprises:
in the first stage of data analysis, corrosion rate prediction: carrying out space correlation and time correlation analysis through a gray model algorithm, processing corrosion measured values of different detection points of the same pipeline, optimizing prediction model parameters through a genetic algorithm, generating a regular data sequence, and establishing a gray model for corrosion rate prediction;
and (3) in the second stage of data analysis, predicting the residual life: factors influencing the corrosion of the petrochemical pipeline storage tank comprise corrosive media, working temperature, flow velocity, the trend of the pipeline and materials, a large amount of data detected by different points are used as a learning training sample, and each influencing factor and a corresponding corrosion rate value in the pipeline are used as learning training samples to establish a residual life prediction model of the gathering and transportation pipeline;
in the third stage of data analysis, the corresponding relationship between the corrosion defect and the ultrasonic waveform: through simulation analysis and experiments, a corresponding relation between corrosion defect characteristics and ultrasonic waveform data is established, so that the corrosion grade and corrosion characteristics of the pipeline are judged through the corrosion waveform data.
Through the data analysis, the purpose of online detection of corrosion of the pipeline to be detected is achieved.
The ultrasonic thickness gauge and the digital management platform are combined through the digital tag to form an informationized corrosion detection method, a hierarchical management mechanism is realized through the digital management platform, the hierarchical management is divided into a high-level authority, a medium-level authority and a primary authority, the data authority of an operator is subjected to hierarchical management, analysis detection data are formed, a detection task is issued, a one-stop closed loop system for collecting the detection data is adopted, the influence caused by subjective factors of personnel experience is reduced, and the management is convenient.
Detailed description of the preferred embodiments
As shown in fig. 11-12, in the use state, according to the difference of the use regions, the digital management platform is accessed to the existing informationized management platform in a container deployment mode, so that unified management of the platform is realized.
The digital management platform is based on a standard protocol API interface, supports secondary development, is accessed into the existing management platform through an interface opened by a client, and access request responses of the ultrasonic thickness gauge, the server and the database are carried out through the API interface, so that unified management and scheduling are carried out.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (6)
1. A pipeline corrosion inspection method of an ultrasonic thickness gauge based on a digital label is characterized in that the method comprises the following steps of; the method comprises the steps of digitizing pipeline detection point information through a digital tag, detecting the wall thickness and corrosion state of a pipeline through an ultrasonic thickness gauge, and wirelessly transmitting the digital tag number and detection result to a digital management platform, so that a detector does not have the right to modify data, and the reality and reliability of the data are ensured;
the digital management platform consists of pipeline corrosion management software, a database, an analysis model and a server, wherein the system software is a B/S framework, and a website is input on a browser to be operated by using the software;
hierarchical management is carried out on the authority of an operator through a digital management platform, so that a pipeline corrosion detection task reporting, auditing, publishing and executing one-stop closed-loop system is formed;
the digital management platform adopts a big data mode, establishes the spatial correlation and the time correlation of the detection data, has the functions of data analysis, residual life prediction, pressure calculation and early warning grade, and forms an intelligent and digital corrosion detection management method.
2. The ultrasonic thickness gauge pipe corrosion inspection method based on the digital label according to claim 1, wherein the method comprises the following steps of; the digital label realizes the digitization of the pipeline detection point information, and comprises the following steps:
s101, planning a detection position, comprehensively researching and judging point position sections and quantity by combining enterprise requirements and site conditions, searching dangerous points in a detection area to serve as the detection position, and deploying digital labels in the detection position;
s102, inputting a digital tag identification code into a digital management platform database, and corresponding the section position, the original wall thickness, the material parameters, the production time and the point position number of the detection point position with the digital tag in the database.
3. The ultrasonic thickness gauge pipe corrosion inspection method based on the digital label according to claim 1, wherein the method comprises the following steps of; the application of the digital management platform comprises the following steps:
s103, the digital management platform has a authority hierarchical management function, authority levels are divided into high, medium and low, 1 is established for high-level authorities, the authority levels are responsible for approval and release of the inspection task of the whole platform, the medium-level authorities are set for a plurality of authorities according to factory management staff, the authority levels are responsible for reporting and distributing the inspection task, and the low-level authorities are used for the inspection staff to execute the inspection task and complete the task marking task;
s104, on the digital management platform, a manager determines the detection frequency according to the inspection plan and the corrosion speed, and establishes inspection task approval, release and execution, and plans an inspection route and daily detection points of the manager;
s105, after a patrol personnel receives a task at a mobile terminal, the patrol personnel arrive at a specified detection point, a digital label scanning module is arranged in an ultrasonic thickness meter to scan a digital label of the detection point, the detection can be started after the digital label is identified, the thickness of the pipe wall is tested, after the detected data is stable, the number, the thickness value, the waveform data, the patrol personnel information and the detection time of the digital label are uploaded to the mobile terminal, the mobile terminal uploads the digital label to a digital management platform, the platform marks that the detection task is completed, the patrol personnel have no right to modify the data in the whole process, and the reality and reliability of the data are ensured;
the mobile terminal comprises a mobile phone or a tablet.
4. The ultrasonic thickness gauge pipe corrosion inspection method based on the digital label according to claim 1, wherein the method comprises the following steps of; the method comprises the following steps:
s106, the digital management platform stores, processes and generates a standing book for the detection data, analyzes the corrosion rate, the bearing force and the residual service life of the pipeline, generates pipeline early warning levels, and is divided into green normal, 1-level blue early warning, 2-level yellow early warning and 3-level red early warning states, prompts management personnel in a mode of displaying colors and sending Email through a screen, and makes a pipeline maintenance plan in time;
s107, the digital management platform provides a data analysis report of each month, which comprises the following steps: the system is characterized by comprising the following components of system operation conditions, monthly corrosion analysis, alarm prompt and anti-corrosion suggestion.
5. The ultrasonic thickness gauge pipe corrosion inspection method based on the digital label according to claim 1, wherein the method comprises the following steps of; the pipeline corrosion online detection database built by the system software of the B/S framework establishes the spatial correlation and the time phase relation of detection data, and comprises the following big data analysis:
calculating the corrosion rate by the initial thickness and the detection thickness;
predicting the residual life, and calculating the residual life of the pipeline through a big data model;
early warning of corrosion state, and carrying out state early warning according to the corrosion rate and the detection result;
the corrosion database comprises two parts, namely equipment self information and detection information.
6. The ultrasonic thickness gauge pipe corrosion inspection method based on the digital label according to claim 5, wherein the method comprises the following steps of; the pipeline corrosion online detection database further comprises:
in the first stage of data analysis, corrosion rate prediction: carrying out space correlation and time correlation analysis through a gray model algorithm, processing corrosion measured values of different detection points of the same pipeline, optimizing prediction model parameters through a genetic algorithm, generating a regular data sequence, and establishing a gray model for corrosion rate prediction;
and (3) in the second stage of data analysis, predicting the residual life: factors influencing the corrosion of the petrochemical pipeline storage tank comprise corrosive media, working temperature, flow velocity, the trend of the pipeline and materials, a large amount of data detected by different points are used as a learning training sample, and each influencing factor and a corresponding corrosion rate value in the pipeline are used as learning training samples to establish a residual life prediction model of the gathering and transportation pipeline;
in the third stage of data analysis, the corresponding relationship between the corrosion defect and the ultrasonic waveform: through simulation analysis and experiments, a corresponding relation between corrosion defect characteristics and ultrasonic waveform data is established, so that the corrosion grade and corrosion characteristics of the pipeline are judged through the corrosion waveform data.
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