Event Recap | The Global Debut Ceremony for the 2025 New Product Launch—IEPLAT-LM Platform and Integrated Equipment Management System—Concludes Successfully

On July 29, 2025, the "2025 New Product Launch Event—IEPLAT-LM Platform & Equipment Management All-in-One Machine Global Debut Ceremony," hosted by the Hubei Province High-end Equipment Intelligent Maintenance Manufacturing Innovation Center and co-organized by Wuhan Zhongyun Kangchong Technology Co., Ltd. and Hubei Zhongyun Zhiwei Industry Innovation & Development Co., Ltd., was successfully held at the Kunyu International Center. Guided by the Science and Technology Division of the Hubei Provincial Department of Economy and Information Technology, the event focused on cutting-edge technologies in the field of industrial intelligent maintenance and unveiled four core products, drawing extensive attention from industry experts, potential customers, and strategic partners.

Opening Remarks: Charting a New Blueprint for Intelligent Industrial Operations and Maintenance

At the beginning of the event, Ms. Fang, General Manager of the Innovation Center, delivered the opening remarks, emphasizing the significance of this launch event in driving the intelligent upgrading of industrial equipment, and introduced the conference agenda as well as the distinguished guests in attendance. She noted that, in the face of both opportunities and challenges presented by Industry 4.0, the company remains committed to technological innovation as its core, dedicated to providing customers with end-to-end equipment management solutions throughout the entire lifecycle.

Core Product Launch: Four Cutting-Edge Innovations Leading Industry Transformation

IEPLAT-LM Platform: Building a Closed Loop for Comprehensive Equipment Lifecycle Management

The Head of R&D, Engineer Zhang, provided a detailed introduction to the IEPLAT-LM Predictive Maintenance SaaS Platform. Centered around "AI Diagnosis + Full Lifecycle Management," the platform integrates features such as online monitoring, fault early warning, and work order management, and has already been successfully implemented in both domestic and international companies, including Huaxin Cement and Shougang Boron Iron.

For example, a certain cement project achieved annual cost savings of 1.54 million yuan through systematic monitoring, while also reducing equipment inspection personnel costs by 480,000 yuan. Another energy company’s project deployed thousands of monitoring points and successfully leveraged AI algorithms to effectively mitigate the risk of unplanned downtime.

The platform supports multi-industry adaptation, particularly catering to the needs of process manufacturing and large state-owned enterprise groups operating in a corporate structure, offering modular deployment and customized services.

Device Management All-in-One Machine: The Intelligent Decision-Making Hub at the Edge

Zhang, the product manager from the R&D department, unveiled the integrated device management system, a product powered by a DeepSeek fine-tuned model and equipped with an RAG knowledge base. The hardware configuration includes high-performance components such as the AMD EPYC processor and NVIDIA H100 GPU, and the device also features offline operation capability.

Its core advantages include real-time data collection and storage, AI-based fault prediction and maintenance decision-making, as well as expert diagnostic model support. The all-in-one device enables comprehensive lifecycle data management for equipment and can operate independently in offline environments, making it ideal for complex scenarios such as industrial sites and remote areas. It provides customers with an integrated "local computing + intelligent diagnostics" solution.

IEP7000/8000 Series Edge Terminals: High-Performance Data Acquisition and Edge Computing

Chief Engineer Li, Deputy Chief of Hardware, highlighted the IEP7000/8000 series of edge intelligent terminals. This series features an octa-core ARM/X86 processor combined with a high-capacity FPGA architecture, enabling dynamic, real-time multi-channel sensor data acquisition with a sampling rate of up to 512 ksps. It also boasts advanced capabilities such as multimodal fusion perception, edge computing, intelligent early warning, and smart diagnostics.

Typical application scenarios include: condition monitoring and intelligent fault diagnosis for large centrifugal compressors, reciprocating compressors, diesel generators, and turbomachinery. The edge intelligence terminals have passed rigorous certifications—such as explosion-proof and reliability standards—to ensure industrial-grade robustness.

Debugging Tool Matrix: Reimagining Operational Efficiency in Industrial Settings

Software Deputy Chief Engineer, Engineer Zhou, introduced the IEPlat-M series debugging tools, which include a terminal debugging app, a gateway WEB configuration tool, a mid-platform data engine, and an intelligent operations & maintenance cloud platform.

The tool matrix centers around "mobility, visualization, and zero barriers," enabling a fivefold increase in equipment debugging efficiency. The terminal debugging app supports both Android and HarmonyOS systems, allowing new device configurations to be completed in as little as 5 minutes—truly making it possible for anyone who knows how to use a smartphone to master debugging. Meanwhile, the gateway’s web-based configuration tool simplifies professional debugging into straightforward "web-based operations," requiring just three steps to finalize parameter settings. On the middleware side, the data engine ensures stable, large-scale transmission of terminal data while seamlessly adapting to multiple protocols such as Modbus and OPC, enabling "plug-and-play" integration across heterogeneous systems.

This tool ecosystem is not just an "efficiency tool"—it serves as the "infrastructure" for enterprises' digital transformation. By providing standardized data collection interfaces, an intelligent operations and maintenance system, and a mobile-friendly user experience, it helps companies swiftly establish a closed-loop workflow connecting "equipment-data-decision-making," enabling a seamless upgrade from localized automation to full-scale digitalization. Its true value lies in making complex industrial digitalization "practical, tangible, and measurable"—from enhancing operational convenience for frontline workers to empowering management with more informed decision-making. Ultimately, this empowers businesses to build core competencies—such as "rapid responsiveness, cost efficiency, and high reliability"—as they navigate the wave of smart manufacturing.

Interactive Dialogue and Closing Session: Sharing Insights on Collaboration, Envisioning the Future

The press conference featured a tea break and an interactive Q&A session, during which guests and attendees engaged in in-depth discussions on product technical details, industry-specific application scenarios, and collaboration models.

Finally, General Manager Mr. Ning delivered the closing remarks, summarizing the key achievements of this press conference and emphasizing that the company will continue to drive industrial intelligence upgrades through technological innovation, working hand-in-hand with partners to build an industry ecosystem characterized by "healthier equipment and more efficient operations and maintenance."

Meaning of the Event

This press conference not only showcased the company's technological prowess in the field of industrial intelligent operations and maintenance, but also delivered a comprehensive end-to-end solution—from data collection and edge computing to cloud-based management—for industries such as process manufacturing and discrete manufacturing, thanks to the collaborative innovation of four key products.

In the future, Hubei Province's High-end Equipment Intelligent Maintenance Manufacturing Innovation Center will continue to leverage its platform advantages, accelerate the commercialization of technological innovations, and help industrial enterprises achieve digital transformation while reducing costs and boosting efficiency.