Thread Content
Recently, Lanzhou Petrochemical successfully completed the on-site construction and data connection work for the online monitoring and fault diagnosis system for 112 pumps and machines at the ethylene plant, which serves as a pilot unit. This marks significant progress in the digital transformation of equipment management at Lanzhou Petrochemical, taking a solid step toward the full completion of this digital transformation process. In line with the overall objectives for the digital transformation of its equipment, Lanzhou Petrochemical is committed to developing a unified system for monitoring equipment status and diagnosing faults. It has formed a project team to carry out pilot implementations in the ethylene plant; through real-time analysis of the health status of mechanical equipment, intelligent early warning systems, automatic diagnosis, and support for maintenance decisions, the company aims to enhance the capabilities of equipment management in terms of monitoring, prediction, analysis, optimization, and coordination, thereby promoting the achievement of \"automation, digitization, visualization, and intelligence\" in equipment management. Adhering to the principle of \"one solution per machine,\" Lanzhou Petrochemical conducted a detailed analysis of each pump and motor, developed implementation plans for sensors and edge computing devices, arranged construction schedules by area, organized timely pump and motor swaps to improve operational efficiency, and ensured the safe operation of the on-site equipment. As a result, the installation of 542 vibration sensors and related hardware for 112 pieces of equipment was completed successfully, enabling data communication between the on-site equipment and servers. It is reported that once the project is successfully implemented, intelligent analysis of the collected vibration data can be used to automatically extract component-level characteristics, intelligently identify deviations in the equipment’s health status, detect early signs of component failures, and thus enable early warning and automatic diagnosis of equipment failures. At the same time, from a vertical management perspective, it provides functions for managing the status of equipment at the plant level, unit level, and team level, enabling a unified management approach, consistent information transparency, and accurate problem identification. This helps to avoid management gaps caused by information asymmetry and improves the quality and efficiency of equipment management ； From a horizontal technical perspective, it can break down the barriers between equipment and production-related fields, enabling data integration, collaborative technical analysis, and joint troubleshooting. It facilitates the integration of data, information, and expert knowledge, thereby further improving the overall level of management in equipment-related areas.