CN114519462A - Method and system for predicting service life of pipe after abrasion and thinning - Google Patents
Method and system for predicting service life of pipe after abrasion and thinning Download PDFInfo
- Publication number
- CN114519462A CN114519462A CN202210135739.8A CN202210135739A CN114519462A CN 114519462 A CN114519462 A CN 114519462A CN 202210135739 A CN202210135739 A CN 202210135739A CN 114519462 A CN114519462 A CN 114519462A
- Authority
- CN
- China
- Prior art keywords
- pipeline
- pipe
- wall thickness
- service life
- original
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000005299 abrasion Methods 0.000 title claims abstract description 6
- 238000005259 measurement Methods 0.000 claims abstract description 33
- 230000009467 reduction Effects 0.000 claims description 33
- 239000000463 material Substances 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 7
- 230000003993 interaction Effects 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 230000008569 process Effects 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 238000013021 overheating Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 206010040844 Skin exfoliation Diseases 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000000451 tissue damage Effects 0.000 description 1
- 231100000827 tissue damage Toxicity 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
Abstract
The invention relates to a method and a system for predicting the service life of a pipe after abrasion and thinning, and belongs to the technical field of pipeline service life prediction. According to the method and the system for predicting the service life of the pipe after the pipe is worn and thinned, provided by the invention, after the maximum thinning rate of the pipe is obtained by adopting the historical measurement record of the wall thickness of the pipe and the current measurement value of the wall thickness of the pipe, the residual service life of the pipe can be accurately predicted according to the maximum thinning rate of the pipe, the current measurement value of the wall thickness of the pipe, the pressure value inside the pipe and the original parameters of the pipe, and further the monitoring efficiency of the pipe is improved.
Description
Technical Field
The invention relates to the technical field of pipeline service life prediction, in particular to a method and a system for predicting service life of a pipe after abrasion and thinning.
Background
The key equipment of the boiler body of the thermal power plant runs under a long-term severe environment, the failure mechanism is complex, the monitoring means is not enough, the state maintenance in the general sense is not completely applicable, most high-temperature equipment of the boiler has corresponding relation with the running environment and time of the equipment, the optimized regular maintenance mode is realized by determining the change condition and the life cycle of the environmental conditions, and the key equipment of the boiler body of the thermal power plant is the basic requirement and the main mode of the state maintenance of the boiler equipment.
The intelligent boiler management and control system can quickly determine the running state of equipment through a series of monitoring means and intervene in time. The state monitoring can timely find abnormal signals of the equipment, timely find the health trend of the equipment through function fitting and a linear regression model, predict the equipment state trend in any time period after the current time node and eliminate the hidden danger of the equipment in the sprouting state. If the device has reached the defect and failure stage. The system can utilize the process of risk assessment to assess the risk of defects which are likely to occur, and the equipment is arranged according to the risk level in advance, so that the overhaul purpose is more targeted, the overhaul plan is more comprehensive, and the overhaul opportunity is more reasonable. For the equipment in the failure stage, the residual life of the equipment can be known in time by using a means of life evaluation, failure characteristics and accident precursor points are summarized, failure experience data are accumulated, and a big data analysis basis is formed.
The service life of the pipeline is an important factor influencing the service life of boiler equipment, but the existing judgment of the service life of the pipeline is carried out by a manual timing detection method, so that the defects of low service life detection efficiency, inaccurate detection result and the like can be caused.
Disclosure of Invention
In order to solve the above disadvantages of the prior art, the present invention provides a method and a system for predicting the lifetime of a pipe after wear and reduction.
In order to achieve the purpose, the invention provides the following scheme:
a method for predicting the service life of a pipe after being worn and thinned comprises the following steps:
determining the thinning rate of each pipeline in a specific time period according to the historical measurement record of the wall thickness of each pipeline and the current measurement value of the wall thickness of each pipeline;
obtaining the maximum thinning rate of the pipeline based on the thinning rate of each pipeline;
determining the residual service life of the pipeline according to the maximum pipeline thinning rate, the current measured value of the pipeline wall thickness, the internal pressure value of the pipeline and the original parameters of the pipeline; the original parameters of the pipeline comprise: the original outer diameter of the pipe, the original wall thickness of the pipe and the basic allowable stress of the pipe material.
Preferably, a formula is used based on the historical measurement of wall thickness for each pipe and the current measurement of wall thickness for each pipe
Determining the thinning rate of each pipeline in a specific time period;
wherein, ciFor the reduction of the pipe i, W1iFor historical measurement records of pipe i, W2iH is the current measurement for pipe i, a specified time period.
Preferably, the pipe internal pressure is determined based on said pipe maximum reduction, current measurement of pipe wall thicknessForce value and pipeline original parameter by formula
Determining the residual service life of the pipeline;
wherein, trlFor the remaining service life of the pipeline, W2For the current measurement of the pipe wall thickness, P is the pipe internal pressure value, d is the pipe original outer diameter, W is the pipe original wall thickness, [ sigma ]]jBasic allowable stress for the pipe material, CmaxThe maximum reduction rate of the pipeline is obtained.
A system for predicting life of a pipe after wear and tear reduction, comprising: a processor and a memory;
the processor performs data interaction with the memory;
the memory is stored with a computer software program and detection data;
the computer software program is used for implementing the method for predicting the service life of the pipe after abrasion and thinning according to any one of claims 1 to 3; the detection data includes: historical measurement records of the wall thickness of the pipeline and original parameters of the pipeline;
the processor is configured to execute the computer software program.
Preferably, the processor comprises:
the thinning rate determining module is used for determining the thinning rate of each pipeline in a specific time period according to the historical measurement record of the wall thickness of each pipeline and the current measurement value of the wall thickness of each pipeline;
the maximum reduction rate determining module is used for obtaining the maximum reduction rate of the pipeline based on the reduction rate of each pipeline;
the residual service life determining module is used for determining the residual service life of the pipeline according to the maximum reduction rate of the pipeline, the current measured value of the wall thickness of the pipeline, the internal pressure value of the pipeline and the original parameters of the pipeline; the original parameters of the pipeline comprise: the original outer diameter of the pipe, the original wall thickness of the pipe and the basic allowable stress of the pipe material.
Preferably, the processor further comprises:
and the display interface is used for displaying a trend chart of the wall thickness of the pipeline and a trend chart of the residual service life of the pipeline.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the method and the system for predicting the service life of the pipe after the pipe is worn and thinned, provided by the invention, after the maximum thinning rate of the pipe is obtained by adopting the historical measurement record of the wall thickness of the pipe and the current measurement value of the wall thickness of the pipe, the residual service life of the pipe can be accurately predicted according to the maximum thinning rate of the pipe, the current measurement value of the wall thickness of the pipe, the pressure value inside the pipe and the original parameters of the pipe, and further the monitoring efficiency of the pipe is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of the method for predicting the lifetime of a pipe after wear and reduction provided by the invention
Fig. 2 is an interface display effect diagram of a life prediction result provided by the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The overheating of the heating surface or the overheating of the pipe wall is the most fundamental reason for the rapid growth and early peeling of the oxide skin on the steam side, the rapid temperature change is one of the most important factors for causing the large-area peeling of the oxide skin, the overheating amplitude, the overheating time, the overheating times and the like of the equipment directly relate to the running safety of the equipment, and the accident potential is increased. Overtemperature can cause a series of changes of material tissues and properties, such as tissue damage, strength and toughness reduction and the like, the loss speed of the service life of equipment is increased, and equipment can be directly failed when overtemperature is serious. Based on the factors, the invention calculates the wall thickness of the tube measured over time through quantitative analysis, thereby obtaining the reduction rate of the tube, and then assisting the basic materials of stress, pressure, inner diameter and the like of the component to obtain the residual service life of the component.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in FIG. 1, the method for predicting the lifetime of a pipe after wear and thinning provided by the invention comprises the following steps:
step 100: the reduction rate of each pipe is determined for a particular time period based on historical measurements of the wall thickness of each pipe and the current measurements of the wall thickness of each pipe. For example, using formulas
Each pipe reduction rate over a particular time period is determined.
Step 101: and obtaining the maximum pipeline thinning rate based on the thinning rate of each pipeline.
Step 102: and determining the residual service life of the pipeline according to the maximum reduction rate of the pipeline, the current measured value of the wall thickness of the pipeline, the internal pressure value of the pipeline and the original parameters of the pipeline. The original parameters of the pipeline comprise: the original outer diameter of the pipe, the original wall thickness of the pipe and the basic allowable stress of the pipe material. E.g. using the formula
And determining the remaining service life of the pipeline.
Corresponding to the provided method for predicting the service life of the pipe after the wear and the reduction, the invention also provides a system for predicting the service life of the pipe after the wear and the reduction, which comprises the following steps: a processor and a memory.
The processor interacts data with the memory.
The memory stores a computer software program and test data.
The computer software program is used for implementing the method for predicting the service life of the pipe after the pipe is worn and thinned. The detecting data includes: historical measurements of pipe wall thickness and pipe raw parameters.
The processor is for executing a computer software program.
Further, in order to improve the accuracy of predicting the remaining life of the pipeline, the processor adopted by the invention comprises: the device comprises a thinning rate determining module, a maximum thinning rate determining module and a remaining service life determining module.
And the thinning rate determining module is used for determining the thinning rate of each pipeline in a specific time period according to the historical measurement record of the wall thickness of each pipeline and the current measurement value of the wall thickness of each pipeline.
The maximum reduction rate determining module is used for obtaining the maximum reduction rate of the pipeline based on the reduction rate of each pipeline.
And the residual service life determining module is used for determining the residual service life of the pipeline according to the maximum reduction rate of the pipeline, the current measured value of the wall thickness of the pipeline, the internal pressure value of the pipeline and the original parameters of the pipeline. The original parameters of the pipeline comprise: the original outer diameter of the pipe, the original wall thickness of the pipe and the basic allowable stress of the pipe material.
In addition, in order to visualize the detected data and the prediction result, the processor adopted by the invention is also provided with a display interface for displaying a trend graph of the wall thickness of the pipeline and a trend graph of the residual service life of the pipeline.
The following provides an embodiment, which is a detailed description of the specific implementation process of the above-mentioned technical method and system, but is not limited to this in the practical use process.
The reduction ratio of the pipe (i.e., formula 1 shown in Table 1) is obtained by measuring the wall thickness of the pipe in daily maintenance and comparing the measured value with the previous value, and the value of formula 1 is substituted into formula 2 (C)maxI.e. the maximum pipe reduction during the present overhaul), assisted by the substantially allowable stress [ sigma ] of the pipe]jThe internal pressure P of the component (value obtained in DCS system during calculation), the original external diameter d of the pipeline and other basic parametersThe number (as shown in table 1) to calculate the remaining life of the tube, and finally, the time required for the wall thickness of each tube to be reduced to the limit program, i.e., the current tube life, is predicted in an interface graph manner.
TABLE 1 calculation formula and parameter table
The source and the process of the parameters related to the calculation formula in table 1 are additionally illustrated in table 2.
TABLE 2 value sources and Process tables for parameters
The following table 3 is the relevant operation steps of the interface calculation formula:
TABLE 3 TABLE OF RELATED OPERATIONS STEP OF INTERFACE-COMPUTING FORMULAS
The tree menu on the left side of fig. 2 is a list of components for which life needs to be predicted, and a plurality of components can be selected to compare a plurality of curves, wherein the horizontal axis in the list is time, the solid line part is maintenance data of the components measured by the system, and the dotted line part is used for judging the life expiration time of the current component by using the formula.
TABLE 4 Density of unsaturated Water at different pressures and temperatures
| ℃ | 0.010MPa | 0.1Mpa | 0.5MPa | 1Mpa | 3MPa | 5Mpa | 7MPa | 10Mpa | 14MPa | 20Mpa | 25MPa | 30Mpa |
| 0 | 0.99980004 | 0.99980004 | 1 | 1.00030009 | 1.00130169 2 | 1.00230530 2 | 1.00331092 6 | 1.00482315 1 | 1.00674519 3 | 1.00969305 3 | 1.01214574 9 | 1.014507457 |
| 10 | 0.99970009 | 0.99970009 | 0.99990001 | 1.00010001 | 1.00110121 1 | 1.00210441 9 | 1.00300902 7 | 1.00441944 6 | 1.00623868 | 1.00897992 1 | 1.01132686 1 | 1.013581999 |
| 20 | 0.99820323 4 | 0.99820323 4 | 0.99840255 6 | 0.99860195 7 | 0.99950025 | 1.00040016 | 1.00140196 3 | 1.00270731 | 1.00452034 2 | 1.00715077 | 1.00928542 6 | 1.011429149 |
| 40 | 0.99216192 1 | 0.99226036 9 | 0.99235883 7 | 0.99265435 8 | 0.99344327 4 | 0.99433230 6 | 0.99522293 | 0.99651220 7 | 0.99820323 4 | 1.00080064 1 | 1.00280786 2 | 1.004924128 |
| 60 | 0.98318749 4 | 0.98338086 3 | 0.98357430 9 | 0.98444575 7 | 0.98531875 1 | 0.98619329 4 | 0.98745926 7 | 0.98921752 9 | 0.99166997 2 | 0.99373944 2 | 0.995817566 | |
| 80 | 0.97181729 8 | 0.97200622 1 | 0.97219521 7 | 0.9731413 | 0.97399435 1 | 0.97484889 8 | 0.97618117 9 | 0.97789947 2 | 0.98048828 3 | 0.98260784 1 | 0.984736583 | |
| 100 | 0.95858895 7 | 0.95877277 1 | 0.95969289 8 | 0.96061479 3 | 0.96163092 6 | 0.96292729 9 | 0.96478533 5 | 0.96749226 | 0.96964995 6 | 0.971817298 | ||
| 120 | 0.94330723 5 | 0.94348523 4 | 0.94455464 2 | 0.94553706 5 | 0.94652153 3 | 0.94795715 2 | 0.94993825 4 | 0.95274390 2 | 0.95510983 8 | 0.957395883 | ||
| 140 | 0.92626898 9 | 0.9273857 | 0.92755774 | 0.92867756 3 | 0.92971364 8 | 0.93127211 8 | 0.93335822 3 | 0.93641726 8 | 0.93896713 6 | 0.94144229 | ||
| 160 | 0.90768811 8 | 0.90892565 | 0.91008372 8 | 0.91124476 | 0.91299187 4 | 0.91524803 2 | 0.91861106 | 0.92131932 9 | 0.924043615 | |||
| 180 | 0.88841506 8 | 0.88967971 5 | 0.89102735 5 | 0.89293686 9 | 0.89549565 7 | 0.89919971 2 | 0.90220137 1 | 0.905141202 | ||||
| 200 | 0.86587583 3 | 0.86737791 7 | 0.86880973 1 | 0.87100426 8 | 0.87389670 5 | 0.87804021 4 | 0.88144557 1 | 0.884720871 | ||||
| 220 | 0.84097216 4 | 0.84267295 9 | 0.84445195 1 | 0.84695519 6 | 0.85026783 4 | 0.85506626 8 | 0.85888516 7 | 0.862589494 | ||||
| 240 | 0.81526169 9 | 0.81732734 | 0.82034454 5 | 0.82426640 3 | 0.82980665 5 | 0.83430669 1 | 0.838574423 | |||||
| 260 | 0.78678206 1 | 0.79051383 4 | 0.79529187 2 | 0.80198893 3 | 0.80729797 4 | 0.812281699 | ||||||
| 280 | 0.75148418 1 | 0.75631523 2 | 0.76236944 4 | 0.77077231 4 | 0.77724234 4 | 0.783330722 | ||||||
| 300 | 0.71556350 6 | 0.72390328 7 | 0.73502388 8 | 0.74332862 6 | 0.750919877 | |||||||
| 350 | 0.60078101 5 | 0.62574307 | 0.644246875 |
During the use process, the temperature and the pressure come from a field DCS chart, and a corresponding water density value is found in the trademark 4 according to the pressure and the temperature of a certain part of the field DCS.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (6)
1. A method for predicting the service life of a pipe after being worn and thinned is characterized by comprising the following steps:
determining the thinning rate of each pipeline in a specific time period according to the historical measurement record of the wall thickness of each pipeline and the current measurement value of the wall thickness of each pipeline;
obtaining the maximum thinning rate of the pipeline based on the thinning rate of each pipeline;
determining the residual service life of the pipeline according to the maximum pipeline thinning rate, the current measured value of the pipeline wall thickness, the internal pressure value of the pipeline and the original parameters of the pipeline; the original parameters of the pipeline comprise: the original outer diameter of the pipe, the original wall thickness of the pipe and the basic allowable stress of the material of the pipe.
2. A method of predicting tube wear reduction life as claimed in claim 1 wherein a formula is applied based on historical measurements of wall thickness of each tube and current measurements of wall thickness of each tube
Determining the thinning rate of each pipeline in a specific time period;
wherein, ciFor the reduction of the pipe i, W1iFor historical measurement records of pipe i, W2iH is the current measurement for pipe i, a specified time period.
3. The method of claim 1, wherein a formula is used to predict the life of the tube after wear and reduction, based on the maximum reduction rate of the tube, the current measurement of the tube wall thickness, the pressure value inside the tube, and the original parameters of the tube
Determining the residual service life of the pipeline;
wherein, trlFor the remaining service life of the pipeline, W2For the current measurement of the pipe wall thickness, P is the pipe internal pressure value, d is the pipe original outer diameter, W is the pipe original wall thickness, [ sigma ]]jBasic allowable stress for the pipe material, CmaxThe maximum reduction rate of the pipeline is obtained.
4. A system for predicting life of a pipe after wear and tear reduction, comprising: a processor and a memory;
the processor performs data interaction with the memory;
the memory is stored with a computer software program and detection data;
the computer software program is used for implementing the method for predicting the service life of the pipe after abrasion and thinning according to any one of claims 1 to 3; the detection data includes: historical measurement records of the wall thickness of the pipeline and original parameters of the pipeline;
the processor is configured to execute the computer software program.
5. The system of claim 4, wherein the processor comprises:
the thinning rate determining module is used for determining the thinning rate of each pipeline in a specific time period according to the historical measurement record of the wall thickness of each pipeline and the current measurement value of the wall thickness of each pipeline;
the maximum reduction rate determining module is used for obtaining the maximum reduction rate of the pipeline based on the reduction rate of each pipeline;
the residual service life determining module is used for determining the residual service life of the pipeline according to the maximum reduction rate of the pipeline, the current measured value of the wall thickness of the pipeline, the internal pressure value of the pipeline and the original parameters of the pipeline; the original parameters of the pipeline comprise: the original outer diameter of the pipe, the original wall thickness of the pipe and the basic allowable stress of the pipe material.
6. The system of predicting tube wear-reduced life according to claim 4, wherein the processor further comprises:
and the display interface is used for displaying a trend chart of the wall thickness of the pipeline and a trend chart of the residual service life of the pipeline.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210135739.8A CN114519462A (en) | 2022-02-15 | 2022-02-15 | Method and system for predicting service life of pipe after abrasion and thinning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210135739.8A CN114519462A (en) | 2022-02-15 | 2022-02-15 | Method and system for predicting service life of pipe after abrasion and thinning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114519462A true CN114519462A (en) | 2022-05-20 |
Family
ID=81595987
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210135739.8A Pending CN114519462A (en) | 2022-02-15 | 2022-02-15 | Method and system for predicting service life of pipe after abrasion and thinning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114519462A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10141600A (en) * | 1996-11-05 | 1998-05-29 | Toshiba Eng Co Ltd | Piping wall thinning control system |
| JP2000161943A (en) * | 1998-11-26 | 2000-06-16 | Hitachi Ltd | Apparatus for measuring pipe thickness |
| JP2006138480A (en) * | 2005-12-19 | 2006-06-01 | Hitachi Ltd | Control system of wastage of piping system |
| CN103867901A (en) * | 2012-12-18 | 2014-06-18 | 上海宝钢工业技术服务有限公司 | Method for detecting and evaluating gas pipeline wall thickness reduction |
| CN106567997A (en) * | 2016-04-24 | 2017-04-19 | 内蒙古科技大学 | Oil-gas pipeline remote real-time health monitoring system based on Internet of Things |
| CN109992825A (en) * | 2019-02-20 | 2019-07-09 | 华电电力科学研究院有限公司 | A kind of real-time lifetime estimation method of four main tubes of boiler for considering wall thickness reduction and crossing heat affecting |
| CN111141244A (en) * | 2019-12-11 | 2020-05-12 | 岭澳核电有限公司 | Method for evaluating pipeline thinning rate |
| CN113888001A (en) * | 2021-10-19 | 2022-01-04 | 中国特种设备检测研究院 | Intelligent inspection management method for industrial pipeline |
-
2022
- 2022-02-15 CN CN202210135739.8A patent/CN114519462A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10141600A (en) * | 1996-11-05 | 1998-05-29 | Toshiba Eng Co Ltd | Piping wall thinning control system |
| JP2000161943A (en) * | 1998-11-26 | 2000-06-16 | Hitachi Ltd | Apparatus for measuring pipe thickness |
| JP2006138480A (en) * | 2005-12-19 | 2006-06-01 | Hitachi Ltd | Control system of wastage of piping system |
| CN103867901A (en) * | 2012-12-18 | 2014-06-18 | 上海宝钢工业技术服务有限公司 | Method for detecting and evaluating gas pipeline wall thickness reduction |
| CN106567997A (en) * | 2016-04-24 | 2017-04-19 | 内蒙古科技大学 | Oil-gas pipeline remote real-time health monitoring system based on Internet of Things |
| CN109992825A (en) * | 2019-02-20 | 2019-07-09 | 华电电力科学研究院有限公司 | A kind of real-time lifetime estimation method of four main tubes of boiler for considering wall thickness reduction and crossing heat affecting |
| CN111141244A (en) * | 2019-12-11 | 2020-05-12 | 岭澳核电有限公司 | Method for evaluating pipeline thinning rate |
| CN113888001A (en) * | 2021-10-19 | 2022-01-04 | 中国特种设备检测研究院 | Intelligent inspection management method for industrial pipeline |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110045594B (en) | Intelligent management and control system and method for predicting state risk of four tubes of boiler | |
| US20100114502A1 (en) | System and method for article monitoring | |
| Pan et al. | Incipient fault detection of wind turbine large-size slewing bearing based on circular domain | |
| CN102539325B (en) | Method for monitoring structural damage of coke tower based on strain monitoring | |
| CN110672332B (en) | Gas turbine fault early warning system based on SARIMA model | |
| CN107944571B (en) | Method for predicting residual service life of power transformer | |
| CN111597740B (en) | Harvester health monitoring method based on mesoscale ultrasonic abnormal narrow band | |
| CN112580202B (en) | State evaluation method for high Wen Jixiang adapter tube and tube seat based on metal inspection | |
| JP6934833B2 (en) | Water quality monitoring system, steam turbine system equipped with it, and water quality monitoring method | |
| CN105716664A (en) | Cable state monitoring multiparameter correlation analysis method based on per-unit algorithm | |
| CN110909505B (en) | Transient temperature field calculation method of nuclear power plant fatigue monitoring and life evaluation system | |
| Liu et al. | Optimal multi-type inspection policy for systems with imperfect online monitoring | |
| CN103226664A (en) | External surface temperature pre-testing method and device for high pressure rotor of throttle adjusting type steam turbine | |
| CN107340102B (en) | Water leakage detection method and system for converter valve cooling system | |
| CN112330152A (en) | Water supply pump state evaluation and operation and maintenance method and system based on data fusion | |
| CN111312414B (en) | Fatigue evaluation method of nuclear power plant fatigue monitoring and life evaluation system | |
| CN109243652B (en) | System and method for judging validity of compressed air flow data of nuclear power station system | |
| CN116772285B (en) | Intelligent building heating load safety real-time monitoring method | |
| JP2016170638A (en) | Piping network diagnosis device | |
| CN114519462A (en) | Method and system for predicting service life of pipe after abrasion and thinning | |
| RU2692438C1 (en) | Method of evaluation of strength and determination of service life of drums and header of boiler | |
| WO2019135747A1 (en) | Probabilistic life evaluation algorithm for gas turbine engine components | |
| KR20120059140A (en) | Tube defects monitoring method during post weld heat treatment for nuclear steam generator | |
| CN101318539A (en) | Diagnosis method for system fault of ship air start | |
| CN112836359B (en) | Safety evaluation method for power supply and distribution equipment of cigarette production enterprises |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220520 |