CN115618601B - Gathering pipeline safety assessment method and system based on detection result - Google Patents

Gathering pipeline safety assessment method and system based on detection result Download PDF

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CN115618601B
CN115618601B CN202211255285.4A CN202211255285A CN115618601B CN 115618601 B CN115618601 B CN 115618601B CN 202211255285 A CN202211255285 A CN 202211255285A CN 115618601 B CN115618601 B CN 115618601B
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corrosion
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CN115618601A (en
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徐玉兵
韩红霞
李秀辉
张道兵
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Xinjiang Dunhua Green Carbon Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/14Pipes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]

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  • Pipeline Systems (AREA)

Abstract

The invention discloses a gathering and transporting pipeline safety evaluation method and system based on detection results, wherein network structure models of gathering and transporting pipelines in a plurality of areas are fused to form a whole network structure model, a stress distribution diagram in the whole structure model is determined according to offset, validity analysis is carried out on one-dimensional vectors, and an erosion model is input to obtain an erosion thickness distribution diagram; determining the coincidence of the region exceeding the first threshold value in the stress distribution diagram and the region exceeding the second threshold value in the corrosion thickness distribution diagram as a dangerous region; according to the invention, through correction fitting of the corrosion model, the calculation accuracy of the corrosion speed effect is improved, and through construction of the distributed fitting model, the speed of model combination is increased, and the risk determining capability of the system is improved.

Description

Gathering pipeline safety assessment method and system based on detection result
Technical field:
The invention belongs to the field of safety prediction, and particularly relates to a gathering and transmission pipeline safety assessment method and system based on detection results.
The background technology is as follows:
At present, with the development of industrial industry in China, crude oil is taken as an important raw material for industrial production, the demand quantity is increased year by year along with the development of industry, but the petroleum output in China is stable, and the crude oil import depends on the degree to be in an annual rising trend, so that the crude oil transportation also becomes an important guarantee factor. Currently, the pipeline transportation length of oil and gas breaks through 16 ten thousand kilometers, and the crude oil pipeline length also exceeds 3 ten thousand kilometers. The service age of pipelines in China is about 90% over 20 years, and the pipeline investment is more than 70% over 25 years. Because the pipeline for conveying crude oil is built underground and occupies a relatively high level, once leakage occurs, the long-distance pipeline has crude oil leakage in the transportation process, so that economic loss can be caused, and meanwhile, if the leakage of crude oil is not degraded in time, the leakage of crude oil can damage animals and plants, and water sources can be polluted.
The crude oil pipeline leakage causes mainly comprise: firstly, crude oil pipeline mostly sets up in underground 1 meter degree of depth, because geological disasters takes place, can cause the injury to the outer wall of crude oil pipeline, and the pressure moment of torsion that crude oil pipeline bore increases, is in fatigue state for a long time, ageing is accelerated. Secondly, the oil thief privately punches holes on the crude oil conveying pipeline and directly breaks the pipeline.
At present, the prediction and evaluation methods based on pipe materials, pipe quality, internal and external corrosion, overpressure, third party damage, construction quality and environmental natural disasters are more, but the correlation analysis between factors is not performed, meanwhile, factors are not comprehensively considered in a corrosion model, and the model precision is insufficient. How to improve the prediction precision and the safety of pipeline transportation becomes a technical problem to be solved.
Disclosure of Invention
Aiming at the problems of incomplete consideration factors and insufficient model precision in the corrosion model of the existing prediction evaluation method, the invention adopts the following steps of; the network structure models of the gathering and transmitting pipelines in a plurality of areas are fused to form a full network structure model, the actual offset of the pipelines is determined according to the historical geological parameters, the stress distribution map in the full structure model is determined according to the offset, the effectiveness analysis is carried out on the one-dimensional vector in the cloud server, invalid data are filtered and deleted, and then the invalid data are input into the corrosion model to obtain a corrosion thickness distribution map; determining the coincidence of the region exceeding a first threshold value in the stress distribution diagram and the region exceeding a second threshold value in the corrosion thickness distribution diagram as a dangerous region; according to the invention, the calculation accuracy of the corrosion speed effect is improved through correction fitting of the corrosion model, the speed of model combination is increased through construction of the distributed fitting model, the construction speed of the whole network pipeline model is improved, the operation difficulty is reduced, the requirements on the performance of equipment are met, the hidden danger area is constructed through double dangerous areas, and the system risk determining capability is further improved.
The technical scheme adopted by the invention for solving the technical problems is as follows:
The gathering pipeline safety evaluation method based on the detection result is characterized by comprising the following steps of:
Step S1, constructing a network structure model of an intra-area gathering pipeline at a client according to the actual line distribution of the intra-area pipeline, and sending the network structure model to a cloud server;
Step S2, collecting pressure, temperature, flow speed, humidity and solution ion concentration parameters at the client according to the multi-dimensional sensors in the area, collecting current longitude and latitude according to the positioning sensor, fusing to form a one-dimensional vector, transmitting to the cloud server,
Step S3, in the cloud server, integrating network structure models of gathering and transmitting pipelines in a plurality of areas to form a full network structure model, determining the actual offset of the pipelines according to historical geological parameters, determining a stress distribution diagram in the full structure model according to the offset,
S4, carrying out validity analysis on the one-dimensional vector in the cloud server, filtering and deleting invalid data, and inputting the invalid data into a corrosion model to obtain a corrosion thickness distribution diagram;
S5, determining the coincidence of the area exceeding the first threshold value in the stress distribution diagram and the area exceeding the second threshold value in the corrosion thickness distribution diagram as a dangerous area;
S6, detecting the dangerous area by an inspector according to the magnetic flux leakage detector, and determining a first actual corrosion thickness; if the first actual corrosion thickness exceeds the maximum corrosion thickness of the dangerous area, performing secondary detection on an area exceeding a third threshold value and being smaller than a second threshold value in a corrosion thickness distribution diagram, and transmitting start-stop coordinates of a hidden danger area;
And S7, the cloud server determines a risk area and a risk grade according to start-stop coordinates of the hidden danger area.
Further, in step S1, the building the network structure model of the gathering pipeline in the area includes selecting the type and the material of the part by using the part database.
Further, in step S2, the fusing to form a one-dimensional vector includes sorting the parameters collected at the same time according to a specific order, converting the parameters into an encrypted two-dimensional code image, and transmitting the encrypted two-dimensional code image.
Further, in step S4, the one-dimensional vector validity analysis includes decrypting the encrypted two-dimensional code image to obtain a one-dimensional vector, extracting each parameter from the one-dimensional segmentation according to the number of bits, calculating an offset average value if the parameter exceeds the accumulated average value, and considering that the parameter value is invalid in the current time if the offset average value exceeds a fourth threshold value.
Further, in step S4, the processing of the invalid data may be that the average value of the remaining data in the time window is replaced with the invalid data, where the distance between the time windows is 5S, and the sampling frequency may be 0.2S,0.5S, and 1S.
Further, the step S6 further includes: and if the first actual corrosion thickness is smaller than the maximum corrosion thickness of the dangerous area, determining the coordinates of the hidden danger area, and simultaneously adjusting the corrosion model or the offset.
Further, the offset mean calculation includes:
Wherein S h is the area with radius h, x is the cumulative mean value, h is the radius, the value is 3 times of standard deviation, k is the number of data in the range of S h, and x i is the parameter value at the moment i.
The utility model provides a gathering and transportation pipeline safety evaluation system based on testing result, this system includes cloud ware, customer end, removes collection equipment, and customer end, removal collection equipment link to each other with cloud ware, its characterized in that:
The client is used for constructing a network structure model of the gathering and transporting pipeline in the area according to the actual line distribution of the pipeline in the area; collecting parameters of pressure, temperature, flow speed, humidity and solution ion concentration according to the multi-dimensional sensors in the area, collecting current longitude and latitude according to the positioning sensor, fusing to form a one-dimensional vector,
The cloud server is used for fusing network structure models of gathering and transmitting pipelines in a plurality of areas to form a full network structure model, determining the actual offset of the pipelines according to historical geological parameters, determining a stress distribution map in the full structure model according to the offset, carrying out validity analysis on one-dimensional vectors, filtering and deleting invalid data, and inputting the invalid data into the corrosion model to obtain a corrosion thickness distribution map; determining the coincidence of the region exceeding a first threshold value in the stress distribution diagram and the region exceeding a second threshold value in the corrosion thickness distribution diagram as a dangerous region; determining a risk area and a risk level;
The mobile acquisition end is used for detecting the dangerous area and determining a first actual corrosion thickness; if the first actual corrosion thickness exceeds the maximum corrosion thickness of the dangerous area, performing secondary detection on the area exceeding the third threshold value and being smaller than the second threshold value in the corrosion thickness distribution diagram, and transmitting start-stop coordinates of the hidden danger area, wherein the movable acquisition end is a magnetic leakage detector.
A computer readable storage medium storing a computer program, wherein execution of the computer program by the processor implements a gathering and transmission line security assessment method based on the detection results.
Terminal device comprising a memory, a processor and a computer program stored in said memory and executable on said processing, characterized in that said processor executes said computer program to implement a gathering and transmission line security assessment method based on detection results.
The beneficial effects of the invention are as follows:
1. the invention improves the calculation accuracy of the corrosion speed effect through the correction fitting of the corrosion model,
2. By constructing the distributed fitting pipeline network model, the speed of model combination is increased, the construction speed of the whole network pipeline model is increased, the operation difficulty and the requirements on the performance of equipment are reduced,
3. The hidden danger area is built through the multi-threshold double dangerous areas, so that the risk determining capability of the system is further improved;
4. and the stress caused by geological offset is determined by fitting a stress model, so that the risk assessment effect under multiple factors is improved.
The foregoing description is only an overview of the present invention, and is intended to be more clearly understood as the present invention, as it is embodied in the following description, and is intended to be more clearly understood as the following description of the preferred embodiments, given in detail, of the present invention, along with other objects, features and advantages of the present invention.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a block diagram of a system for security assessment of a pipeline based on detection results
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In the description of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, connected, detachably connected, or integrated; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
Example 1
The gathering pipeline safety evaluation method based on the detection result is characterized by comprising the following steps of:
Step S1, constructing a network structure model of an intra-area gathering pipeline at a client according to the actual line distribution of the intra-area pipeline, and sending the network structure model to a cloud server;
Step S2, collecting pressure, temperature, flow speed, humidity and solution ion concentration parameters at the client according to the multi-dimensional sensors in the area, collecting current longitude and latitude according to the positioning sensor, fusing to form a one-dimensional vector, transmitting to the cloud server,
Step S3, in the cloud server, integrating network structure models of gathering and transmitting pipelines in a plurality of areas to form a full network structure model, determining the actual offset of the pipelines according to historical geological parameters, determining a stress distribution diagram in the full structure model according to the offset,
S4, carrying out validity analysis on the one-dimensional vector in the cloud server, filtering and deleting invalid data, and inputting the invalid data into a corrosion model to obtain a corrosion thickness distribution diagram;
S5, determining the coincidence of the area exceeding the first threshold value in the stress distribution diagram and the area exceeding the second threshold value in the corrosion thickness distribution diagram as a dangerous area;
S6, detecting the dangerous area by an inspector according to the magnetic flux leakage detector, and determining a first actual corrosion thickness; if the first actual corrosion thickness exceeds the maximum corrosion thickness of the dangerous area, performing secondary detection on an area exceeding a third threshold value and being smaller than a second threshold value in a corrosion thickness distribution diagram, and transmitting start-stop coordinates of a hidden danger area;
And S7, the cloud server determines a risk area and a risk grade according to start-stop coordinates of the hidden danger area.
Further, in step S1, the building the network structure model of the gathering pipeline in the area includes selecting the type and the material of the part by using the part database.
Further, in step S2, the fusing to form a one-dimensional vector includes sorting the parameters collected at the same time according to a specific order, converting the parameters into an encrypted two-dimensional code image, and transmitting the encrypted two-dimensional code image.
Further, in step S4, the one-dimensional vector validity analysis includes decrypting the encrypted two-dimensional code image to obtain a one-dimensional vector, extracting each parameter from the one-dimensional segmentation according to the number of bits, calculating an offset average value if the parameter exceeds the accumulated average value, and considering that the parameter value is invalid in the current time if the offset average value exceeds a fourth threshold value.
Further, in step S4, the processing of the invalid data may be that the average value of the remaining data in the time window is replaced with the invalid data.
Further, the step S6 further includes: and if the first actual corrosion thickness is smaller than the maximum corrosion thickness of the dangerous area, determining the coordinates of the hidden danger area, and simultaneously adjusting the corrosion model or the offset.
Further, the offset mean calculation includes:
Wherein S h is the area with radius h, x is the cumulative mean value, h is the radius, the value is 3 times of standard deviation, k is the number of data in the range of S h, and x i is the parameter value at the moment i.
The corrosion model is as follows:
Wherein the method comprises the steps of Represents the partial pressure of H 0,/>The partial pressure of co 2 is represented, E a represents the activation energy of the corrosion reaction, A, B, C, D, E, F is a constant, lnV x represents the corrosion rate, R is a gas constant, T is a thermodynamic temperature, Q represents the flow rate of a solution, S represents the cross-sectional area of the inner wall of a pipeline, rs is a Reynolds coefficient, l is the length of the pipeline, v is the flow rate in the pipeline, d is the diameter of the pipeline, and g is the gravitational acceleration.
The corrosion model may also be:
RTρ=RPM(Fe)+C(Fe2+)Vd+C(Fe2+)mc
Wherein ρ is the density of iron, R P is the deposition rate of iron carbonate, M (Fe) is the molar mass of iron, C (Fe 2+) is the concentration in solution, V d is the volume of solution, M c is the rate of solution formation, and R T is the corrosion rate.
The pipeline offset stress model is:
qf=kDst
Sigma af、σab is the axial stress of the front and rear of the pipeline along the sliding direction, p is the internal pressure of the pipeline, v is the poisson ratio of the pipeline material, D is the external diameter of the pipeline, E is the elastic modulus of the pipeline, delta is the wall thickness of the pipeline, x and y are coordinate values on the pipeline wall; q f is the additional stress generated by soil sliding; d st is the soil sliding distance.
The risk zone is marked directly when the stress value exceeds a fifth threshold, the fifth threshold being greater than the first threshold.
Example 2
The utility model provides a gathering and transportation pipeline safety evaluation system based on testing result, this system includes cloud ware, customer end, removes collection equipment, and customer end, removal collection equipment link to each other with cloud ware, its characterized in that:
The client is used for constructing a network structure model of the gathering and transporting pipeline in the area according to the actual line distribution of the pipeline in the area; collecting parameters of pressure, temperature, flow speed, humidity and solution ion concentration according to the multi-dimensional sensors in the area, collecting current longitude and latitude according to the positioning sensor, fusing to form a one-dimensional vector,
The cloud server is used for fusing network structure models of gathering and transmitting pipelines in a plurality of areas to form a full network structure model, determining the actual offset of the pipelines according to historical geological parameters, determining a stress distribution map in the full structure model according to the offset, carrying out validity analysis on one-dimensional vectors, filtering and deleting invalid data, and inputting the invalid data into the corrosion model to obtain a corrosion thickness distribution map; determining the coincidence of the region exceeding a first threshold value in the stress distribution diagram and the region exceeding a second threshold value in the corrosion thickness distribution diagram as a dangerous region; determining a risk area and a risk level;
The mobile acquisition end is used for detecting the dangerous area and determining a first actual corrosion thickness; if the first actual corrosion thickness exceeds the maximum corrosion thickness of the dangerous area, performing secondary detection on the area exceeding the third threshold value and being smaller than the second threshold value in the corrosion thickness distribution diagram, and transmitting start-stop coordinates of the hidden danger area, wherein the movable acquisition end is a magnetic leakage detector.
A computer readable storage medium storing a computer program, wherein execution of the computer program by the processor implements a gathering and transmission line security assessment method based on the detection results.
Terminal device comprising a memory, a processor and a computer program stored in said memory and executable on said processing, characterized in that said processor executes said computer program to implement a gathering and transmission line security assessment method based on detection results.
The invention has the advantages that:
1. the invention improves the calculation accuracy of the corrosion speed effect through the correction fitting of the corrosion model,
2. By constructing the distributed fitting pipeline network model, the speed of model combination is increased, the construction speed of the whole network pipeline model is increased, the operation difficulty and the requirements on the performance of equipment are reduced,
3. The hidden danger area is built through the multi-threshold double dangerous areas, so that the risk determining capability of the system is further improved;
4. and the stress caused by geological offset is determined by fitting a stress model, so that the risk assessment effect under multiple factors is improved.
5. The data security at each time is improved through the two-dimensional code data encryption transmission;
6. And through data offset calculation, the reliability of data validity analysis is improved.
According to the method and the device for achieving the virtual reality environment interaction, through parameter adjustment at the cloud server, the problem of dizziness caused by visual focusing conflict is solved, picture setting operation is simplified, meanwhile, the efficiency of interaction experience is improved through an improved gesture recognition mode, and the efficiency of recognizing the virtual reality environment interaction mode is improved.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. The gathering and transportation pipeline safety assessment method based on the detection result is characterized by comprising the following steps of:
Step S1, constructing a network structure model of an intra-area gathering pipeline at a client according to the actual line distribution of the intra-area pipeline, and sending the network structure model to a cloud server;
Step S2, collecting pressure, temperature, flow speed, humidity and solution ion concentration parameters at the client according to the multi-dimensional sensors in the area, collecting current longitude and latitude according to the positioning sensor, fusing to form a one-dimensional vector, transmitting to the cloud server,
Step S3, in the cloud server, integrating network structure models of gathering and transmitting pipelines in a plurality of areas to form a full network structure model, determining the actual offset of the pipelines according to historical geological parameters, determining a stress distribution diagram in the full structure model according to the offset,
S4, carrying out validity analysis on the one-dimensional vector in the cloud server, filtering and deleting invalid data, and inputting the invalid data into a corrosion model to obtain a corrosion thickness distribution diagram;
s5, determining a superposition area of an area exceeding a first threshold value in the stress distribution diagram and an area exceeding a second threshold value in the corrosion thickness distribution diagram as a dangerous area;
S6, detecting the dangerous area by an inspector according to the magnetic flux leakage detector, and determining a first actual corrosion thickness; if the first actual corrosion thickness exceeds the maximum corrosion thickness of the dangerous area, performing secondary detection on an area exceeding a third threshold value and being smaller than a second threshold value in a corrosion thickness distribution diagram, and transmitting start-stop coordinates of a hidden danger area;
And S7, the cloud server determines a risk area and a risk grade according to start-stop coordinates of the hidden danger area.
2. The gathering line safety assessment method based on the detection result as recited in claim 1, wherein: in step S1, the building the network structure model of the gathering pipeline in the area includes selecting the type and the material of the part by using the part database.
3. The gathering line safety assessment method based on the detection result as recited in claim 1, wherein: in step S2, the fusing to form a one-dimensional vector includes sorting the parameters collected at the same time according to a specific sequence, converting the parameters into an encrypted two-dimensional code image, and transmitting the encrypted two-dimensional code image.
4. The gathering line safety assessment method based on the detection result as recited in claim 1, wherein: in step S4, the one-dimensional vector validity analysis includes decrypting the encrypted two-dimensional code image to obtain a one-dimensional vector, extracting each parameter from the one-dimensional segmentation according to the number of bits, calculating an offset average value if the parameter exceeds the accumulated average value, and considering that the parameter value is invalid in the current time if the offset average value exceeds a fourth threshold value.
5. The gathering line safety assessment method based on the detection result as recited in claim 1, wherein: in step S4, the invalid data may be replaced by a mean value of the remaining data in the time window.
6. The gathering line safety assessment method based on the detection result as recited in claim 1, wherein: the step S6 further includes: and if the first actual corrosion thickness is smaller than the maximum corrosion thickness of the dangerous area, determining the coordinates of the hidden danger area, and simultaneously adjusting the corrosion model or the offset.
7. The gathering line safety assessment method based on the detection result as recited in claim 4, wherein: the offset mean calculation includes:
Wherein S h is the area with radius h, x is the cumulative mean value, h is the radius, the value is 3 times of standard deviation, k is the number of data in the range of S h, and x i is the parameter value at the moment i.
8. The utility model provides a gathering and transportation pipeline safety evaluation system based on testing result, this system includes cloud ware, customer end, removes collection equipment, and customer end, removal collection equipment link to each other with cloud ware, its characterized in that:
The client is used for constructing a network structure model of the gathering and transporting pipeline in the area according to the actual line distribution of the pipeline in the area; collecting parameters of pressure, temperature, flow speed, humidity and solution ion concentration according to the multi-dimensional sensors in the area, collecting current longitude and latitude according to the positioning sensor, fusing to form a one-dimensional vector,
The cloud server is used for fusing network structure models of gathering and transmitting pipelines in a plurality of areas to form a full network structure model, determining the actual offset of the pipelines according to historical geological parameters, determining a stress distribution map in the full structure model according to the offset, carrying out validity analysis on one-dimensional vectors, filtering and deleting invalid data, and inputting the invalid data into the corrosion model to obtain a corrosion thickness distribution map; determining a superposition area of the area exceeding the first threshold value in the stress distribution diagram and the area exceeding the second threshold value in the corrosion thickness distribution diagram as a dangerous area; determining a risk area and a risk level;
The mobile acquisition equipment is used for detecting the dangerous area and determining a first actual corrosion thickness; if the first actual corrosion thickness exceeds the maximum corrosion thickness of the dangerous area, performing secondary detection on the area exceeding the third threshold value and being smaller than the second threshold value in the corrosion thickness distribution diagram, and transmitting start-stop coordinates of the hidden danger area, wherein the movable acquisition end is a magnetic leakage detector.
9. A computer readable storage medium storing a computer program, wherein execution of the computer program by a processor implements the gathering line safety assessment method based on detection results as recited in any one of claims 1 to 7.
10. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method of gathering line safety assessment based on detection results as claimed in any one of claims 1-7.
CN202211255285.4A 2022-10-13 2022-10-13 Gathering pipeline safety assessment method and system based on detection result Active CN115618601B (en)

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CN109858126A (en) * 2019-01-23 2019-06-07 北京市燃气集团有限责任公司 Pipeline network of fuel gas in city safety monitoring method for early warning and system based on settlement monitoring
CN111637367A (en) * 2020-04-24 2020-09-08 西南石油大学 Detection and evaluation method for corrosion defects in mountain gas transmission pipeline
CN113761476A (en) * 2020-06-01 2021-12-07 中国石油化工股份有限公司 Refining pipeline corrosion comprehensive prediction method and device based on local detection

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CN112258496A (en) * 2020-11-02 2021-01-22 郑州大学 Underground drainage pipeline disease segmentation method based on full convolution neural network

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Publication number Priority date Publication date Assignee Title
CN108956885A (en) * 2018-07-21 2018-12-07 翼捷安全设备(昆山)有限公司 Gas detection intelligence Warning System based on sensor network
CN109858126A (en) * 2019-01-23 2019-06-07 北京市燃气集团有限责任公司 Pipeline network of fuel gas in city safety monitoring method for early warning and system based on settlement monitoring
CN111637367A (en) * 2020-04-24 2020-09-08 西南石油大学 Detection and evaluation method for corrosion defects in mountain gas transmission pipeline
CN113761476A (en) * 2020-06-01 2021-12-07 中国石油化工股份有限公司 Refining pipeline corrosion comprehensive prediction method and device based on local detection

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