Equipment Health Management EHM - Equipment Management System - Equipment Management Software - Equipment OEE Overall Efficiency - Equipment Predictive Maintenance - Gechuang Dongzhi - Copy

Equipment Health Management (EHM)

Powered by an AI-driven Equipment Health Index, this solution enables predictive and intelligent equipment management across high-tech manufacturing environments. It enhances maintenance efficiency, maximizes equipment performance and uptime, and supports the development of sustainable, green smart factories through data-driven decision-making.

Pain Points
User Value
Core Advantages
Application Scenarios
Cases
Functional Modules

Pain Points

1. Traditional equipment management methods cannot support enterprise digitalization needs.

2. Low efficiency and poor effectiveness in enterprise equipment management.

3. Unpredictable equipment status, numerous data silos, low data utilization efficiency

4. High equipment operation, maintenance and spare parts costs.

User Value

Enable closed-loop from equipment monitoring to health trend analysis, automatic alerts and maintenance work order execution.

Enable unified monitoring across equipment conditions and process data, improving equipment efficiency and product yield simultaneously.

Enable digital equipment management, boost equipment performance by 8%, reduce operation and maintenance costs by 20%, and significantly improve Overall Equipment Effectiveness (OEE).

Develop an integrated equipment data platform to maximize enterprise data value and utilization.

Core Advantages

Industry Best Practices Leader, National Standards Contributor.
Originating from advanced semiconductor manufacturing, built on 10+ proven industry best practices, and actively contributing to national standards development.
Integrated Equipment Management Platform, customizable on demand.
6 core function suites cover all equipment management scenarios and can be subscribed on demand at different stages, enabling continuous, iterative optimization.
Distributed Microservices Architecture, data interconnection.
Eliminate data silos with an industrial internet–based microservices architecture, featuring distributed deployment, modular services and open APIs.
Industrial design-oriented, helps rapid insight and decision-making.
Built on industrial engineering expertise, empowers engineers with intuitive usability while enabling decision-makers to gain rapid, at-a-glance insights.

Application Scenarios

Industrial Enterprises

Enable intelligent equipment operations and maintenance, enhance management transparency, improve equipment efficiency, reduce abnormal downtime and lower maintenance costs.

OEM Equipment Manufacturers

Enable remote operations and diagnostics, accurate spare parts forecasting, enhance user experience, and expand after-sales service models.

EPC General Contractor Integrators

Integrated digital factory delivery with advanced equipment management solutions, supported by open API integration and collaborative partnership models.

MRO Service Providers

Intelligent equipment work order scheduling, precise inventory management, enabling parts forecasting, sales optimization and value-added services.

Cases

Learn more cases >

Enhance predictive maintenance capabilities for highly automated manufacturing enterprises.

Client: Semiconductor

Results: The panel manufacturer deployed GTRONTEC's Equipment Health Management solution to enhance equipment visibility and reliability. By integrating real-time data collection from critical process parameters such as pumps, robotic arms, chlorine concentration and frame glue pressure. The system enables continuous monitoring and predictive fault modeling. With features including equipment asset management, mobile maintenance workflows, shared spare parts management, and multi-factor data analytics, engineers are empowered to independently analyze and model equipment performance. Through automated monitoring, trend analysis, and predictive insights, the solution effectively reduces unplanned downtime, improves process stability and lowers spare parts costs.

Help precision electronics manufacturing enterprises solidify equipment management capabilities.

Client: 3C Electronics

Results: The electronics manufacturer deployed GTRONTEC’s Equipment Health Management solution, enabling data integration across more than 300 critical assets, along with environmental monitoring and structured equipment health management. Leveraging automated alerts and assisted maintenance workflows, the system improves response efficiency, reduces abnormal downtime by approximately 40%, lowers MTTR by around 25%, and accelerates line changeover time by about 30%.

Help equipment manufacturers achieve remote equipment operation, maintenance, and diagnosis.

Client: Equipment Manufacturer

Results: Beijing Kangjisen, a leading provider of safety control systems in the petrochemical industry, implemented an Industrial Internet–based EHM (Equipment Health Management) solution to transform its service capabilities. The platform enables remote monitoring, fault diagnosis, intelligent operations and maintenance, transparent project delivery and online training for deployed equipment and control systems. Under normalized pandemic conditions, the solution ensured the safe and stable operation of petrochemical facilities. By enabling remote equipment operations, maintenance, and diagnostics, along with accurate spare parts forecasting, Kangjisen enhanced customer experience, reduced service costs and expanded its after-sales service business model.

Help industrial enterprises achieve equipment predictive maintenance based on vibration analysis.

Client: Coal Industry

Results: Implemented EHM vibration condition monitoring with embedded intelligent diagnostic algorithms to enable early fault detection, reduce abnormal downtime, and lower maintenance costs. For a single coal preparation plant, the solution delivered significant annual benefits, preventing 19 unplanned downtime incidents, avoiding direct equipment losses of RMB 2.7 million and reducing unplanned failure downtime by 90%.

Functional Modules

Equipment 360° file view, know by scanning QR code, grasp equipment status anytime, anywhere.

Can trigger maintenance plans based on time or data-generated events (CBM); task managers/maintenance engineers can view task status at different time scales.

Achieve real-time equipment monitoring, and implement condition-based predictive maintenance through vibration analysis.

Drive full-process equipment management based on equipment status data, optimize enterprise equipment management and operation strategies, improve enterprise benefits.

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