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The ZTRS AIOps System is a device operations and maintenance management platform developed by ZTRS, leveraging digitalization and intelligence.By collecting, processing, and analyzing the basic operational and daily maintenance data of equipment, the system achieves comprehensive monitoring and management of equipment operation parameters.By integrating equipment maintenance procedures, the system performs in-depth mining and analysis of professional equipment data, optimizing the informational management of daily maintenance processes.Through closed-loop management throughout the entire lifecycle of equipment, the AIOps system enables intelligent analysis and decision-making, supporting integrated applications across multiple disciplines and the entire maintenance process.It provides precise maintenance and optimization strategies for equipment, driving the transformation of device operations and maintenance from traditional inspection and repair to state-based maintenance.The system significantly reduces operational costs while improving maintenance efficiency. It is widely applied in the fields of communication operations within urban rail transit, railways, and civil aviation industries.
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Monitors all resources, from station-level devices to high-level business applications. Integrates business data, application performance data, and operational data to build a reliable and unified monitoring capability.
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An O&M management system based on visualization technology, providing an intuitive, fast, and comprehensive overview of equipment operational status for real-time monitoring and management.
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Establishes a knowledge graph framework with high-efficiency graph algorithms to assist O&M personnel in fault localization and alarm diagnosis, while also enabling proactive fault prediction.
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Combines predictive fault detection with health management to oversee the entire equipment lifecycle, identify potential faults in advance, predict equipment lifespan, and enhance operational safety.
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By building an intelligent O&M awareness system, we continuously improve and strengthen the online monitoring capabilities of system equipment. This establishes a comprehensive, real-time, accurate, and centralized intelligent supervision system for equipment O&M. This enables automated diagnosis and assessment of equipment health and ultimately achieves a high standard of Condition-Based Maintenance.
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By creating a unified equipment model, we establish a central data warehouse for full-lifecycle equipment management. This system automatically aggregates dynamic data from all business processes on top of static data, enabling multi-dimensional queries and statistics, historical data management for the entire O&M process, and data support for production and maintenance management, thus achieving standardized, full-lifecycle management of all equipment.
Address：Headquarters: 5th Floor, Research Building, Tsinghua Information Port, High-tech Industrial Park, Nanshan District, Shenzhen; Nanjing: Building 6, No. 50, Software Avenue, Yuhuatai District