The application of WebGIS to equipments management in Jingtaichuan Electric Power Pumping Irrigation Project

被引:0
|
作者
Liang, Ruixin
机构
关键词
Electric Power Pumping Irrigation Project; WebGIS; equipment management;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Jingtaichuan Electric Power Pumping Irrigation Project (thereinafter referred to as Jingdian Project) is known as the First in China for its high lifting, large flow capacity and multi-stages construction. To manage its hydraulic structures and equipments efficiently, WebGIS is being developed and applied in Jingdian Project. In the paper the basic framework of the WebGIS is introduced firstly, and then, the Developing Contents of WebGIS in Jingdian Project is described. Finally, the implementation of the equipments management based on WebGIS is discussed systematically and specifically. It is verified that the application and development of WebGIS are,necessary in Jingdian Project, and the implement of the equipments' management system will furnish the staff with the scientific technology for irrigation management.
引用
收藏
页码:6254 / 6257
页数:4
相关论文
共 50 条
  • [41] A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
    Yaseen, Zaher Mundher
    Ehteram, Mohammad
    Hossain, Md. Shabbir
    Fai, Chow Ming
    Koting, Suhana Binti
    Mohd, Nuruol Syuhadaa
    Jaafar, Wan Zurina Binti
    Afan, Haitham Abdulmohsin
    Hin, Lai Sai
    Zaini, Nuratiah
    Ahmed, Ali Najah
    El-Shafie, Ahmed
    SUSTAINABILITY, 2019, 11 (07)
  • [42] Model checking-based decision support system for fault management: A comprehensive framework and application in electric power systems
    Chen, Guangyao
    He, Peilin
    Wang, Ziqi
    Teng, Zixin
    Jiang, Zhihao
    Expert Systems with Applications, 2024, 247
  • [43] Model checking-based decision support system for fault management: A comprehensive framework and application in electric power systems
    Chen, Guangyao
    He, Peilin
    Wang, Ziqi
    Teng, Zixin
    Jiang, Zhihao
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 247
  • [44] Optimal Situation-Based Power Management and Application to State Predictive Models for Multi-Source Electric Vehicles
    Ali, Ahmed M.
    Shivapurkar, Rushikesh
    Soeffker, Dirk
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (12) : 11473 - 11482
  • [45] Application of weather forecasting model WRF for operational electric power network management-a case study for Phailin cyclone
    Sahoo, Bishnupriya
    Bhaskaran, Prasad K.
    Pradhan, Ashok K.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2019, 137 (1-2) : 871 - 891
  • [46] Design and Application of Smart Vision Sensor Using Embedded Technology in Cost Management of Power Transmission and Transformation Project in Ningxia Companies
    Liu, Shangke
    Liu, Xiaomin
    Wang, Zheng
    Wan, Ye
    Wang, Xiyuan
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [47] Performance analysis of DC-DC converter and DTC based fuzzy logic control for power management in electric vehicle application
    Araria, Rabah
    Berkani, Abderrahmane
    Negadi, Karim
    Marignetti, Fabrizio
    Boudiaf, Mohamed
    Journal Europeen des Systemes Automatises, 2020, 53 (01): : 1 - 9
  • [48] RETRACTED: Application of Big Data and Internet of Things Technology in the Management of Financial Operating Income of Electric Power Enterprises (Retracted Article)
    Su, Huiling
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2022, 2022
  • [49] Optimal frequency separation of power sources by multivariable LPV/H∞ control: application to on-board energy management systems of electric vehicles
    Nwesaty, Waleed
    Bratcu, Antoneta Juliana
    Sename, Olivier
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 5636 - 5641
  • [50] A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles
    Vajedi, Mahyar
    Taghavipour, Amir
    Azad, Nasser L.
    McPhee, John
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 2612 - 2617