Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Natural gas pipeline remote maintenance control system health degree evaluation method and system

A natural gas pipeline and control system technology, applied in the field of health evaluation of natural gas pipeline remote control system, can solve problems such as unbalanced data distribution, low accuracy and reliability of health evaluation, and inability to guarantee sample consistency

Pending Publication Date: 2022-04-12
PIPECHINA SOUTH CHINA CO +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] This application provides a method and system for evaluating the health degree of a natural gas pipeline remote control system, which solves the serious problem of the distribution of sample data of each health level in the health evaluation process of the remote system in the prior art. Balance phenomenon, and cannot guarantee the consistency of the distribution of the generated samples and the original samples, and the technical problems of low accuracy and reliability of the health evaluation
By separately training sub-models on the health of different hardware, according to the hierarchical relationship of the system, after training each hardware sub-module separately, summarizing the health level of each module to evaluate the overall health of the system, which solves the problem of unbalanced data classification , to ensure the consistency of the distribution of the generated samples and the original samples, and to improve the accuracy and reliability of the health evaluation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Natural gas pipeline remote maintenance control system health degree evaluation method and system
  • Natural gas pipeline remote maintenance control system health degree evaluation method and system
  • Natural gas pipeline remote maintenance control system health degree evaluation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Such as figure 1 As shown, the embodiment of the present application provides a method for evaluating the health of a natural gas pipeline remote control system, wherein the method includes:

[0025] S100: Obtain system operation history data, where the system operation history data includes a plurality of hardware operation history data;

[0026] Specifically, the system operation history data is the operation history data of the natural gas pipeline remote control system, including a plurality of hardware operation history data. Hardware devices mainly include servers, routers, switches, workstations, PLC equipment, etc. Various devices cooperate with each other to ensure the safe and stable operation of the remote control system, and are also responsible for realizing their respective functions. The operation history data of the natural gas pipeline remote maintenance control system is the server resource occupation of the natural gas pipeline remote maintenance con...

Embodiment 2

[0075] The experimental results of the ACWGAN-GP algorithm proposed in this application are compared with the results of the other nine algorithms, and the experimental results are shown in Table 1. Observing Table 1, it can be found that ACWGAN-GP is in τ macroacc It performs better on metrics, achieving the best performance on 9 of the 13 public datasets, and the best results in each public dataset are highlighted in bold. The average accuracy of ACWGAN-GP on the 13 sets of data also achieved the best performance, and it was 5.52% higher than the best method among the remaining methods.

[0076]Then the Wilcoxon signed rank test and Friedman test were used to compare different methods. The results of the Wilcoxon signed rank test are shown in Table 2, where the value of R+ represents the rank sum of the ACWGAN-GP method, and the value of R- represents the rank sum of the remaining nine methods. It can be seen from Table 2 that, except for CWGAN-GP, all the other methods ar...

Embodiment 3

[0085] Based on the same inventive concept as the method for evaluating the health of a natural gas pipeline remote control system in the foregoing embodiment, as figure 2 As shown, the embodiment of the present application provides a health degree evaluation system of a natural gas pipeline remote control system, wherein the system includes:

[0086] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain system operation history data, and the system operation history data includes a plurality of hardware operation history data;

[0087] The first execution unit 12, the first execution unit 12 is used to respectively divide the data of each hardware operation history data, wherein the data division includes selecting a training set from the hardware operation history data, and determining a test set;

[0088] The second execution unit 13, the second execution unit 13 is used to use the training sets obtained by each hardware in data division to train t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a natural gas pipeline remote maintenance control system health degree evaluation method and system, and the method comprises the steps: obtaining system operation historical data, carrying out the parallel training of a health degree evaluation sub-model, employing each obtained discriminator as a classifier, and carrying out the classification of a test set corresponding to each hardware, performing performance verification and optimization on the health evaluation sub-model according to the classification result and the test set to obtain a final health degree evaluation sub-model; and obtaining each hardware health evaluation result, carrying out grade discrete processing to obtain a discrete result, carrying out overall model training to obtain a system overall health degree evaluation model, and carrying out system health degree evaluation. The technical problems that in the prior art, in the health degree evaluation process of a far-dimensional system, a serious imbalance phenomenon exists in sample data distribution of all health degree grades, the distribution consistency of generated samples and original samples cannot be guaranteed, and the accuracy and reliability of health degree evaluation are low are solved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method and system for evaluating the health of a natural gas pipeline remote control system. Background technique [0002] The natural gas pipeline remote maintenance control system realizes the integrated operation and maintenance of all equipment for the SCADA system of the oil and gas pipeline, the whole process operation and maintenance of the oil and gas pipeline regulation business, and the joint operation and maintenance of automation and communication security, which solves the problem of weak technical level of operation and maintenance personnel, Difficulties such as the inability to effectively integrate multiple operation and maintenance services can effectively improve the reliability of automation equipment operation and ensure the safe and stable operation of the pipeline network. The automation control level of long-distance oil and gas pipelines is direct...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/20G06Q10/06G06Q50/06G06F119/02
Inventor 张世斌贾立东宋飞史威艾月乔张小俊张舒王宁黑卫春杨永利余冬张赫宫连峰杨全博高博颢
Owner PIPECHINA SOUTH CHINA CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com