Journal of Yangtze River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (7): 125-131.DOI: 10.11988/ckyyb.20200416

• INFORMATION TECHNOLOGY APPLICATION • Previous Articles     Next Articles

Design and Case Study of Water Resources Management System Based on Cluster Architecture

FENG Kuai-le1, ZHOU Jian-zhong1, LIU Yi1, TANG Zheng-yang2, ZHOU Chao3   

  1. 1. Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang 443000, China;
    3. Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China
  • Received:2020-05-08 Revised:2020-08-17 Online:2021-07-01 Published:2021-07-08

Abstract: With the development and utilization of modern water conservancy information resources, the traditional integration method of centralized water resource management system has been unable to meet the high performance and the service orientation demands of professional models. Microservice system architecture encapsulates the model into service resources and provides modularized low-level functions for high-level intelligent applications. It is a fine-grained, low-coupling, and scalable approach to integrating water resource management models. In the servitization of professional model, the operational efficiency of a single service is the key factor for the overall system performance. In this paper, an effective service clustering development method of water resource management system is proposed based on the micro-service system architecture in consideration of the servitization demand of professional models. On the one hand, the horizontal performance of professional model services is expanded through mainstream container technology; and on the other hand, the load balancing of network and services is achieved via gateway technology. The related technologies were applied in the decision support system of water resources management for the lower reaches of the Jinsha River-Three Gorges cascade hydropower plants. The research findings offer reference for the design and development of water resources information system.

Key words: water resources management, decision support system, high performance cluster, microservice, visual container

CLC Number: 

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