Exhibition Review | Zhongyun Technology Makes a Spectacular Appearance at the "8th Intelligent Operation and Maintenance Exchange Conference on Integrity Management of Petrochemical Equipment"

7 Month 10 On the day, the "8th Petrochemical Equipment Integrity Management and Intelligent Operation & Maintenance Exchange Conference," hosted by the China Petroleum and Petrochemical Engineering Research Association, was successfully held in Beijing. The meeting focused on core topics such as intelligent equipment operation and maintenance, integrity management, and equipment upgrades and technological renovations. ， Designed to promote the deep integration of advanced technologies such as artificial intelligence, big data, and the Internet of Things into the petrochemical industry, leveraging digital and intelligent solutions to fortify the safety and stability of equipment operations, while empowering the industry to achieve green, low-carbon, and inherently safe development.

Wuhan Zhongyun Kangchong Technology Co., Ltd. (hereinafter referred to as "Zhongyun Technology"), an innovative leader in the field of predictive maintenance for industrial equipment, was invited to attend the conference. At its booth, the company highlighted a comprehensive, end-to-end equipment health management solution tailored specifically for the petrochemical industry, drawing significant attention from attendees.

Core Solution: Building a New Paradigm for Equipment Safety Through Predictive Maintenance

Zhongyun Technology’s solution showcased this time centers on "data-driven prevention, intelligently safeguarding security," achieved through the "perception layer." - Data Layer - The "application layer" three-tier architecture enables dynamic monitoring and proactive maintenance throughout the entire lifecycle of equipment.

1.  Multi-dimensional State Perception System

By deploying a high-precision sensor array—covering vibration, temperature, acoustic signatures, and more—in conjunction with edge computing terminals, the system collects real-time operational data from critical equipment such as pumps and compressors. Combined with wireless transmission and low-power design, this setup is tailored to withstand challenging industrial environments characterized by high temperatures, high pressures, and severe corrosion, ensuring continuous and reliable data acquisition.

2. AI Predictive Algorithm Engine

Based on industrial big data and deep learning models, we construct equipment fault atlases and degradation trend prediction models. By comparing real-time data with feature extraction, it becomes possible to detect issues in advance. 1-3 Monthly warnings for potential failures such as bearing wear, seal failure, and motor abnormalities, along with automatic generation of fault analysis reports, transforming traditional "reactive maintenance" into proactive "preventive maintenance."

3.  Full-Life-Cycle Health Management Platform

Integrate equipment historical data, real-time status, and maintenance records to build a visualized management platform. The platform supports features such as equipment health scoring, remaining lifespan prediction, and maintenance strategy optimization, helping enterprises achieve "on-demand maintenance" while reducing downtime risks and operational costs. The platform is fully compatible. ERP 、 MES These systems enable data interconnection and establish a closed-loop management framework.

Industry Recognition: Leaders from Sinopec and other organizations visit for exchanges

During the conference, equipment management leaders from industry giants such as Sinopec and PetroChina visited the Zhongyun Technology booth to gain detailed insights into real-world application cases of the company’s solutions in manufacturing. Senior executives expressed strong appreciation for Zhongyun Technology’s innovative advancements in the field of predictive maintenance, noting that these breakthroughs "will AI Algorithms are deeply integrated with industrial scenarios, providing a practical and viable path for the safe operation and maintenance of equipment.

Conclusion

This exchange event provided a vital platform for advancing equipment management in the petrochemical industry. Zhongyun Technology will continue to deeply invest in R&D of predictive maintenance technologies for industrial equipment, adopting an innovative "prevention-first, data-driven" approach to help the industry reduce operational and maintenance costs, enhance equipment reliability, and inject new momentum into the intelligent transformation and high-quality development of the petrochemical sector.