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Application of Smart Water System in “Reconstruction Project of Qufu City Waterworks”
Author:Qingdao iESLab Electronic Source:Qingdao iESLab Electronic Read Frequency:1227 Release Time:2019-10-19

Recently, the smart water project of the Qufu City Waterworks Reconstruction Project, which was built by Jicheng Electronics, passed the acceptance test and the project fully achieved the expected goal.

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The project covers multi-screen splicing display system, dispatch center system and call center system. The multi-screen splicing display system displays multi-dimensional dynamic information; the dispatching center conducts deep mining of existing big data, fully utilizes hydraulic model modeling and analysis, and adjusts the urban water supply optimization plan; the call center realizes 7*24 hours online customer service to improve the quality of water supply service.

Based on GIS, the intelligent water management information management system integrates various business system information and pipe network information through an open service interface to realize information interconnection and data display and application and sharing. It has the following three characteristics:

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Visualization: Real-time data collection, unified integration, multi-dimensional display.

Business management: Meet the various management of scheduling business, including water volume forecasting, scheduling schemes and instructions, statistical analysis, various reports, log ledgers, historical data query, etc., and finally achieve paperless office scheduling.

Decision support: Through mathematical models and dynamic operations, online simulation, accident simulation, and forecasting trends are realized.

The construction of the project has greatly improved the service image of Qufu City Water Supply Company and improved the service quality of the company. Through resource integration, scientific scheduling, automation and informationization, equipment optimization and energy saving, cost optimization and management efficiency and labor have been realized. The purpose of efficiency and equipment efficiency.

Through the correlation analysis of the big data of the pipe network and the pipe network simulation technology, the pipe network leakage accidents are discovered in real time, and the event early warning mechanism is activated in time to assist the dispatchers to fully understand the operation of the water supply pipe network and improve the emergency response capability to ensure Urban water supply is safe and reliable.

The construction of the project has also improved the water quality of the water supply, improved the water supply service, and brought good social benefits.

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Integrated wisdom water management information management system

Through the various IoT sensors, the real-time perception of the operation status of the urban water system is realized. The information of the water management department and the water supply and drainage facilities is integrated in a visual way to form the “Urban Water Internet”, and the massive water information is analyzed and processed in time. The corresponding processing results are used to assist decision-making suggestions to manage the entire production, management and service processes of the water system in a more granular and dynamic manner.

The system is based on the supply (discharge) water network GIS, with the (discharge) water dispatch monitoring system as the core, workflow-driven business optimization, water security, and auxiliary decision-making and refined management.

The system covers water resources protection, water plant self-control, urban supply (row) water network management, residential secondary water supply pump station management, sewage pumping station management, table management, water user information collection, sewage plant automatic control, water quality testing, Pipeline network geographic information management and other water supply and drainage production operations comprehensive process information management, through water forecasting model, hydraulic model, water quality model, machine learning, etc. to achieve intelligent scheduling, emergency repair, leakage control, and ultimately achieve water supply and drainage business energy saving , customer service quality and efficiency improvement.


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