

Advanced Engineering O&M
The predictive maintenance module deploys multiple types of sensors to collect real-time operational data from equipment and visualizes key operational indicators, such as temperature, rotational speed, acceleration, frequency, velocity, voltage, and current, on a unified platform.
With highly sensitive data monitoring capabilities, once abnormal fluctuations are detected, it automatically triggers alerts and pushes notifications through channels such as WeCom, Feishu, or DingTalk, ensuring prompt response from relevant personnel.
Equipped with a built-in AI intelligent analysis engine that integrates algorithms such as machine learning, time-series prediction, and anomaly detection, enabling accurate prediction of potential equipment failures and assessment of health status.
The industrial intelligent agent, built on a large language model, enables natural language understanding and interactive analysis of operational and maintenance data, assisting personnel in making rapid decisions, pinpointing issues, and formulating maintenance strategies.


Through the AI predictive maintenance module, industrial manufacturing enterprises can achieve:
Identification and Early Warning
Identification and early warning of abnormal conditions.

Algorithm-Driven
Maintenance decisions driven by algorithm to avoid sudden failures.

Cost Reduction and Efficiency Improvement
Reducing the risk of unplanned downtime, enhancing operational efficiency, and achieving cost savings and efficiency gains.

Intelligent Assistance
Intelligent agents enable human-machine collaboration and intelligent operational assistance.




Committed to becoming
a world-leading service provider
of material handling technologies

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