On the coast of the East China Sea, a “world-class, high-tech, integrated” green petrochemical base stands firm. As a leader in domestic refining and chemical integration enterprises, China Petrochemical Corporation Zhenhai Refining and Chemical Branch (hereinafter referred to as “Zhenhai Refining and Chemical Company”) has formed an industrial pattern of “large refining, large ethylene, large wharf, and large storage”. It is one of Sinopec’s refining and chemical enterprises with the largest scale, the strongest profitability, the most advanced technology, the best management level, and the best development quality. It has a strong industry benchmark significance.

516TX 336A4940DNP516TX With the continuous expansion of the petrochemical industry, how to ensure the safe, reliable and efficient operation of global equipment throughout the life cycle, ensure production continuity, reduce unplanned downtime, and prevent accidents has been a key issue facing the entire petrochemical industry. Zhenhai Refining and Chemical, as a world-class refining and chemical enterprise, also has its own troubles in the field of equipment management.
1. How to realize dynamic risk perception, intelligent fault diagnosis and accurate maintenance policies of the whole plant equipment is an urgent need for safe and green operation of Zhenhai Refining and Chemical;
2. Due to the large number of device management software scattered in multiple heterogeneous systems, device service information is fragmented, and there is a lack of unified monitoring platform and accurate management;
3. The existing alarm management system lacks in-depth analysis of the cause and impact of the alarm, and the intelligent level needs to be improved;
4. Equipment overhaul and maintenance rely on expert experience for a long time, lack of quantitative health assessment and intelligent maintenance means.

In the face of equipment management problems in the industry, the central control technology based on the “1+2+N” smart factory new architecture, launched the all-equipment intelligent perception platform (PRIDE) in November 2023, aiming to comprehensively solve the problem of inconsistent data collection standards and data islands for all kinds of dynamic, static, electrical, instrument, control and other equipment on site by establishing a standard data information model. The formation of equipment “a network” to help enterprises achieve “intelligent perception”, “accurate prediction” and “decision support” for the whole field of equipment.

516TX 336A4940DNP516TX

Based on the functions of the PRIDE platform and equipment data of Zhenhai Refining and Chemical Co., LTD., the two parties jointly developed an industry-leading equipment health management center to promote Zhenhai Refining and Chemical Co., LTD., to effectively grasp the operation and risk status of industrial equipment, and make accurate diagnosis and prediction of equipment. At the same time, big data, deep learning algorithms and expert database were applied to establish a complete equipment inspection and maintenance case database. Provide intelligent decision support for the subsequent professional maintenance plans, so that the entire plant equipment is always in the best running state, and fully open the new model of “data + platform + application” intelligent manufacturing. The innovative practice also won the only special prize for management in the petrochemical industry in 2023, which has been widely recognized by the industry.

516TX 336A4940DNP516TX Global device dynamic sensing

Zhenhai Refining and chemical Equipment Health Management Center collects file information, condition monitoring, corrosion monitoring and other equipment business global system, massive equipment monitoring data, the use of wireless sensors, track inspection and high-definition cameras and other dynamic sensing equipment, integration trend prediction, logical judgment and other eight types of advanced alarm. Just like there are countless engineers “sentry” on duty 24 hours a day to collect the operating status parameters of the whole equipment domain in real time, and connect the data to a unified platform to build a professional equipment data lake, effectively eliminate the information island at the equipment level, and realize the all-round perception of the equipment operating status. The abnormal information will be pushed at different levels and personalized, forming a joint force in the cloud at the first time to solve on-site problems in real time.

At the same time, the equipment parameters are clearly displayed by visual means, which effectively changes the various limitations brought by manual statistics in the past, and greatly improves the work efficiency and data accuracy.