The IEP8000 series high-performance wired intelligent monitoring station is specifically designed to collect industrial equipment status information. It extracts equipment fault features through edge computing and transmits data and status analysis results via various methods such as WiFi, 4G, 5G, Ethernet, and RS485. Together with the temperature and vibration integrated acceleration module, eddy current displacement module, current module, voltage module, key phase module, temperature module, and switch quantity module, it forms the core part of the monitoring system, offering strong scalability and functional extensibility.

The IEG2000-X series multi-mode intelligent gateway serves as an access gateway for wireless intelligent sensors or wireless edge terminals. It uses LoRa wireless technology internally to communicate with wireless intelligent sensors or wireless edge terminals for data reception and management. Externally, it communicates with servers or other devices via WIFI, 4G, Ethernet, etc., to complete data uploading and analysis. The multi-mode intelligent gateway provides a simple and convenient solution for the traditionally complex wired cable deployment, greatly reducing the difficulty of equipment status monitoring and fault diagnosis.

The IEG6000-X series multi-mode intelligent gateway serves as an access gateway for wireless intelligent sensors or wireless edge terminals. Internally, it communicates with wireless intelligent sensors or wireless edge terminals using Zigbee wireless technology to receive and manage data. Externally, it communicates with servers or other devices via WIFI, 4G, Ethernet, etc., to upload and analyze data. The multi-mode intelligent gateway provides a simple and convenient solution for the traditionally complex wired cable installation, greatly reducing the difficulty of equipment status monitoring and fault diagnosis.

The IEG8000-X series multi-mode intelligent gateway serves as an access gateway for wireless intelligent sensors or wireless edge terminals. It uses LoRa wireless technology internally to communicate with wireless intelligent sensors or wireless edge terminals for data reception and management, and externally communicates with servers or other devices via 4G, Ethernet, etc., to complete data uploading and analysis. The multi-mode intelligent gateway provides a simple and convenient solution for the traditionally complex wired cable deployment, greatly reducing the difficulty of equipment status monitoring and fault diagnosis.

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.

The platform boasts cutting-edge algorithms and software models. Intelligent diagnostics leverage big data analytics and AI algorithms to deeply mine and rapidly process equipment data. By continuously optimizing and upgrading its algorithmic models, the system can accurately predict and diagnose equipment failures, significantly reducing the chances of missed or false alarms while enhancing the precision and reliability of diagnoses. Moreover, the vibration analysts bring extensive expertise and hands-on experience, enabling them to conduct in-depth analysis and interpretation of equipment vibration data. They are equipped to deliver professional technical support and tailored solutions, collaborating seamlessly with equipment maintenance personnel, technical experts, and other stakeholders to address equipment failure issues effectively—and ultimately ensure the smooth operation of critical machinery.