T-ONE™ APM Device Management Platform-天创机器人

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T-ONE™ APM Device Management Platform

Based on the data foundation constructed by SOM and EMP, an expert diagnostic system is built, combined with the targeted application of artificial intelligence technology, to establish a comprehensive evaluation system for equipment health status. Intelligent analysis of the remaining service life, next failure time, and probability distribution of faulty parts of industrial equipment, providing scientific guidance for equipment maintenance and replacement.

Core Competence

Health Diagnosis

Map and visualize complex equipment data relationships, establish data associations, and provide intelligent equipment diagnosis conclusions and maintenance strategies through different mechanisms and statistical models. Accurately predict equipment safety hazards, judge equipment maintenance and spare parts replacement in advance, and ensure safe manufacturing and production operations.

Data Analysis

With the help of platforms and edge intelligent terminals, data driving between different devices is realized based on functional modules such as data aggregation, status monitoring, and visual analysis. Make full use of data analysis to reduce downtime risks and improve capacity utilization.

Scene Modeling

For specific scenarios, all equipment distribution and operating status are displayed in a multi-dimensional way by building 3D models, 3D engine drivers and virtual reality technology. Scene-immersive template-based creation object instances map physical entities and accurately display panoramic display information of entities, locations and states.

Value Advantage

Diagnosis Model
Establish early warning models and fault diagnosis models to provide accurate basis for system operating status and fault recovery
Real-Time Dynamic
Equipment dynamic real-time collection, in-depth data mining and analysis to avoid hidden dangers
Maintenance Efficiency
Based on the early warning equipment health model, reduce operation and maintenance frequency and improve maintenance efficiency
Maintenance System
Build an integrated industrial equipment health maintenance system to ensure sustainable operation and production of equipment