EAM
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Features
Functional architecture
EAM功能架构
Product Features
EAM system combined with AI application
Predictive maintenance
Predictive maintenance
AI can predict equipment failure modes by analyzing sensor data in real-time, such as monitoring signals such as vibration, temperature, and current, using machine learning algorithms to predict bearing wear, motor failures, etc., and scheduling maintenance in advance, thereby reducing unplanned downtime and maintenance costs.
Intelligent diagnosis
Intelligent diagnosis
By utilizing deep learning and image recognition technology, remote inspection of the internal structure of devices can be carried out, such as through photos or videos taken by endoscopes. AI can automatically identify potential problems and assist engineers in making accurate judgments.
Automated inspection
Automated inspection
AI robots or drones can be equipped with visual and auditory sensors to autonomously complete equipment inspection tasks in physical space, detect anomalies in a timely manner, and notify relevant personnel.
Augmented Reality (AR) Maintenance
Augmented Reality (AR) Maintenance
The AR device health management system can utilize AI technology to combine real-time device data with virtual models, providing visual guidance for maintenance personnel to help them locate and solve problems faster.
Intelligent scheduling and optimization
Intelligent scheduling and optimization
AI can dynamically optimize maintenance operation plans and resource allocation based on factors such as device status, maintenance requirements, manpower, and spare parts resources, ensuring efficient execution of maintenance work.
Big data analysis
Big data analysis
AI can help integrate and analyze large amounts of device historical data, mine device performance trends and correlations, and be used to optimize device configurations, adjust operational strategies, or improve designs.
Intelligent Decision Support
Intelligent Decision Support
AI can provide advanced decision support for decision-makers, such as real-time data based device performance evaluation, remaining useful life prediction, and investment return analysis.
Intelligent alarm and response
Intelligent alarm and response
AI systems can quickly identify abnormal events, automatically trigger alarm mechanisms, and push relevant suggestions and response measures to relevant personnel.
Benefits to customer
Shorten equipment

Improve overall equipment efficiency and OEE

This is an important indicator for measuring equipment production efficiency, including equipment.The three components are availability, performance efficiency, and quality pass rate.
Shorten equipment

Shorten the mean time between failures (MTBF) of equipment

Measuring the average time between two equipment failures reflects equipment reliability, and optimizing maintenance strategies through EAM systems is expected to increase MTBF.
Shorten equipment

Mean Time to Repair (MTTR)

The average time required for a computing device to recover from failure to normal operation,EAM system can shorten MTTR and improve maintenance response speed.
Customer Cases

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