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

7 Month 10 Day, the "8th Petrochemical Equipment Integrity Management and Intelligent Operation and Maintenance Exchange Conference," hosted by the China Petroleum and Petrochemical Engineering Research Association, was successfully held in Beijing. The conference focused on core issues such as intelligent operation and maintenance of equipment, integrity management, and equipment upgrades and technological transformation. ， It aims to promote the in-depth application of advanced technologies such as artificial intelligence, big data, and the Internet of Things in the petrochemical industry, using digital means to build a solid defense line for the safe and stable operation of equipment, and empowering the industry's green, low-carbon, and inherently safe development.

Wuhan Zhongyun Kangchong Technology Co., Ltd. (hereinafter referred to as "Zhongyun Technology"), as an innovative representative in the field of predictive maintenance of industrial equipment, was invited to attend the conference. The booth showcased a full-process equipment health management solution for the petrochemical industry, attracting widespread attention from the participants.

Core Solution: Building a New Paradigm of Equipment Safety with Predictive Maintenance

The solution showcased by Zhongyun Technology this time takes "data-driven prevention, intelligent safety protection" as its core, and through a three-layer architecture of "perception layer - data layer - application layer", it realizes dynamic monitoring and proactive maintenance of equipment throughout its life cycle.

1.  Multi-dimensional State Sensing System

It uses a high-precision sensor array (vibration, temperature, sound texture, etc.) and edge computing terminals to collect real-time operating data from key equipment such as pumps and compressors. Combined with wireless transmission and low-power design, it is adaptable to complex industrial environments such as high temperature, high pressure, and strong corrosion, ensuring the continuity and reliability of data acquisition.

2. AI Predictive Algorithm Engine

Based on industrial big data and deep learning models, it builds equipment fault maps and degradation trend prediction models. Through real-time data comparison and feature extraction, it can predict 1-3 months in advance potential failures such as bearing wear, seal failure, and motor abnormalities, and automatically generate fault cause analysis reports, upgrading the traditional "post-maintenance" to "preemptive prevention".

3.  Full Life Cycle Health Management Platform

It integrates historical equipment data, real-time status, and maintenance records to build a visual management platform. It supports equipment health scoring, remaining life prediction, maintenance strategy optimization, and other functions, helping enterprises achieve "on-demand maintenance", reducing downtime risk and operation and maintenance costs. The platform is compatible with ERP 、 MES and other systems to achieve data interconnection and management closure.

Industry Recognition: Leaders from Sinopec and Other Units Visit for Exchanges

During the conference, equipment management personnel from many industry leading enterprises such as Sinopec and PetroChina visited the Zhongyun Technology booth to learn more about the application cases of the solution in manufacturing. Relevant leaders highly recognized Zhongyun Technology's technological innovation in the field of predictive maintenance, believing that it "will AI algorithms and industrial scenarios are deeply integrated, providing a practical and feasible path for equipment safety operation and maintenance".

Conclusion

This exchange meeting provided an important exchange platform for the upgrading of equipment management in the petrochemical industry. Zhongyun Technology will continue to focus on the research and development of predictive maintenance technology for industrial equipment, using an innovative model of "prevention first, data-driven", to help the industry reduce operation and maintenance costs, improve equipment reliability, and inject new impetus into the intelligent transformation and high-quality development of the petrochemical industry.