Boasting the industry's most extensive library of diagnostic algorithm models, we have successfully developed over 100 precision diagnostic algorithm models tailored to component-level analysis—thanks to deep collaborations with renowned university laboratories and the seamless integration of theoretical research with real-world engineering data. These advanced algorithms now cover more than 90% of fault patterns found in industrial equipment.

The Equipment Predictive Maintenance Operating System (IEPlat-OS, hereafter referred to as the "Algorithm Engine") is a MaaS cloud platform designed for managing equipment fault diagnosis algorithm models. The administrator interface of the Algorithm Engine supports data management, enables online algorithm model training and testing/optimization, facilitates real-time data annotation and statistical analysis of algorithm diagnostic results, and provides robust features for user management, project management, and algorithm API billing system administration.

The device management all-in-one system is equipped with a large-scale, domain-specific model fine-tuned on Deepseek's specialized corpus in the field of fault diagnosis, and it operates entirely offline.

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Make industry smarter and equipment healthier

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