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Smart Water Plant Operation and Management Platform

Smart Water Plant Operation and Management Platform

The intelligent water plant operation and management platform is an intelligent operation platform built using 3D digital twin technology, the Internet of Things, and cloud computing. It enables real-time visualization of process parameters, remote monitoring of equipment status, safety process control, and coordinated scheduling. Its core functions include: 1) 3D visualization integrating and displaying all operational data; 2) Multi-source data fusion to achieve a closed loop of "monitoring-early warning-decision-making"; 3) Mobile support for cross-terminal operation approval and instruction issuance; 4) Full lifecycle asset management covering the entire process of warehousing, inspection, and maintenance; 5) Data-driven decision-making providing fault prediction and process optimization suggestions. Through technological integration and process reengineering, this system significantly improves the operational efficiency and safety management level of water plants.
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  • icon3D visualization integrates and displays all operational data.

  • iconMulti-source data fusion enables a closed loop of "monitoring-early warning-decision making".

  • iconMobile support enables cross-device operation approval and instruction issuance.

  • iconAsset lifecycle management covers the entire process, including inbound and outbound operations, inspections, and maintenance.

  • iconData-driven decision-making provides fault prediction and process optimization suggestions.

System Features

  • End-to-end closed-loop management

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    The system realizes a complete digital closed loop from work order reporting, assignment, processing to review, supports time limit settings and overdue reminders, ensures that each link is traceable and monitorable, and significantly improves operation and maintenance efficiency.

  • Refined inspection and patrol

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    By integrating GIS technology, it supports line and area marking, frequency labeling of patrol areas, and batch import of GIS data. It provides online drawing, editing, moving, and deletion functions, and can quickly publish patrol tasks based on templates, realizing regionalized and refined patrol and inspection management.

  • 3D visualization integration

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    By employing 3D digital twin technology, the system displays equipment parameters, operating indicators, industrial images, and alarm status at each process point in real time, achieving full spatial visualization of the water plant and enhancing the intuitiveness and comprehensiveness of operation monitoring.

  • Multi-source data fusion

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    It integrates basic information, real-time data, video monitoring and other multi-dimensional data from process points, and displays them centrally through a unified interface. It supports the intelligent association of alarm information with personnel tasks, and realizes closed-loop management of "data-event-response".

  • Intelligent early warning mechanism

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    Based on equipment operation data analysis, early warning of faults can be achieved, and handling suggestions can be provided by matching historical cases, forming an intelligent decision-making closed loop from perception to decision-making.

  • Full-service mobility

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    Breaking through the space limitations of the central control room, it supports viewing production data and equipment status at any time via mobile terminals, realizing streamlined mobile operation approval and instruction issuance, and improving management response speed.

  • All-element intelligent monitoring

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    It integrates a distributed computing engine and a microservice architecture to enable real-time visualization of process parameters, remote monitoring of equipment status, custom alarm rules, and automated report generation.

  • Security monitoring

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    By introducing a hazard analysis and critical control point (CCP) system, risk monitoring is conducted throughout the entire water process. Combined with real-time recommendations from the decision-making system, process parameters and equipment control strategies are dynamically optimized.

  • Asset lifecycle management

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    Establish a two-tier management system at the group and plant levels, covering the entire process of equipment ledger, intelligent inspection, maintenance, work order flow, and inventory management, and achieve paperless operation through a mobile APP.

  • Data-driven decision making

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    By leveraging cloud computing capabilities to deeply mine massive amounts of operational data, we can achieve intelligent analysis of production KPIs, predictive maintenance of equipment failures, optimization suggestions for process parameters, and support for risk warning and emergency response.

  • Application scenarios

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