New Approach to SCADA System Screen Configuration Based on the Model of Oil and Gas Pipeline Network

被引:0
|
作者
Huang H. [1 ,2 ]
Li Y. [1 ]
Ma L. [3 ]
Mao B. [1 ]
Zhang L. [1 ]
Yang J. [1 ]
Wang H. [3 ]
Sun Y. [1 ]
Zhao X. [1 ]
Lv M. [1 ]
机构
[1] PipeChina Oil and Gas Control Center, Beijing
[2] School of Software, Tsinghua University, Beijing
[3] Kunlun Digital Technology Co., Ltd., Beijing
关键词
oil and gas pipeline network; pipeline network modelling; SCADA system; screen configuration;
D O I
10.4108/ew.5247
中图分类号
学科分类号
摘要
INTRODUCTION: With the continuous progress of science and technology, the monitoring and control of oil and gas pipeline networks have become more and more critical; SCADA systems, as a kind of technology widely used in industrial control, play a key role. The screen configuration of the SCADA system is the core part of its user interface, which is directly related to the operator's mastery of the status of the pipeline network. In order to improve the monitoring efficiency and reduce the operation risk, this study is devoted to exploring a new method of SCADA system screen configuration based on the oil and gas pipeline network model. PURPOSE: The purpose of this study is to develop an innovative SCADA system screen configuration method to present the operating status of the oil and gas pipeline network more intuitively and efficiently. The design based on the pipeline network model aims to enhance the operators' understanding of essential information, such as pipeline network topology, fluid flow, etc., so as to make monitoring and control more intelligent. METHODS: The study adopts a new method of SCADA system screen configuration based on the oil and gas pipeline network model. First, the topology, sensor data, and control nodes of the oil and gas pipeline network are comprehensively modelled. Then, through the design principle of human-computer interaction, the modelling results are integrated into the screen configuration of the SCADA system to realize the intuitive presentation of information. At the same time, advanced visualization technology is introduced so that the operators can understand the real-time changes in the pipe network status more clearly. RESULTS: After experimental verification, the new method shows significant advantages in oil and gas pipeline network monitoring. The operators can recognize the abnormalities of the pipeline network more quickly and accurately through the SCADA system screen configuration, which improves the efficiency of troubleshooting and treatment. The visualized interface design makes the operation more intuitive and reduces the possibility of operating errors, thus improving the safety and reliability of the pipeline network. CONCLUSION: The new method of SCADA system screen configuration based on the oil and gas pipeline network model has achieved significant results in improving monitoring efficiency and reducing operational risks. Through a more intuitive and intelligent interface design, operators can have a more comprehensive understanding of the operating status of the pipeline network, which provides practical support for rapid response and decision-making. This approach introduces new ideas to the field of oil and gas pipeline network monitoring, which is of positive significance for improving the overall performance of the system. Future work can be carried out to optimize the interface design further and expand the applicable scenarios. doi: 10.4108/ew.5247
引用
收藏
页码:1 / 12
页数:11
相关论文
共 50 条
  • [41] Exploration and Research on Oil and Gas SCADA Security Defense Based on Dynamic Fuzzy Neural Network (DFNN)
    Zhao, Menghui
    Cao, Xiedong
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND COGNITIVE INFORMATICS, 2015, : 86 - 90
  • [42] An Intelligent Security Defensive Model of SCADA Based on Multi-Agent in Oil and Gas Fields
    Yang, Li
    Liu, Junlin
    Zhang, Yun
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 34 (01)
  • [43] PG-AND-ES NEW DISTRIBUTED GAS SCADA NETWORK
    STUART, JW
    AGA 1989 OPERATING SECTION PROCEEDINGS, 1989, : 396 - 398
  • [44] Oil Pipeline Weld Defect Identification System Based on Convolutional Neural Network
    Shang, Jiaze
    An, Weipeng
    Liu, Yu
    Han, Bang
    Guo, Yaodan
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2020, 14 (03): : 1086 - 1103
  • [45] An Adaptive Neuro-Fuzzy Inference System-Based Approach for Oil and Gas Pipeline Defect Depth Estimation
    Mohamed, Abduljalil
    Hamdi, Mohamed Salah
    Tahar, Sofiene
    2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 35 - 42
  • [46] Pipeline leak detection system for oil and gas flowlines
    Rajtar, JM
    Muthiah, R
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 1997, 119 (01): : 105 - 109
  • [47] Ultrasonic monitoring system for oil and gas pipeline corrosion
    Yang, Bin
    Li, Mingxing
    Li, Qiongwei
    Lu, Yonghao
    2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 381 - 383
  • [48] A computer-aided model for design of a simulation system for the natural gas pipeline network system
    Nimmanonda, P
    Uraikul, V
    Chan, CW
    Tontiwachwuthikul, P
    IEEE CCEC 2002: CANADIAN CONFERENCE ON ELECTRCIAL AND COMPUTER ENGINEERING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2002, : 1634 - 1639
  • [49] FIRST CHINESE SCADA SYSTEM FOR LONG DISTANCE OIL AND GAS PIPELINES
    Yufei, Xia
    Tse, Wai
    Qin, Xinyan
    Liu, Sheng
    Zhang, Sen
    IPC2008: PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE - 2008, VOL 1, 2009, : 651 - 660
  • [50] Estimation of corrosion failure likelihood of oil and gas pipeline based on fuzzy logic approach
    Zhou, Qi
    Wu, Wei
    Liu, Dongpeng
    Li, Kaikai
    Qiao, Qiao
    ENGINEERING FAILURE ANALYSIS, 2016, 70 : 48 - 55