In January 2022, the State Council issued the "Notice on the ”14th Five-Year Plan” for the Development of the Digital Economy", emphasizing the comprehensive deepening of digital transformation of manufacturing plants and the in-depth implementation of smart manufacturing projects. It is evident that the core of China's smart factories is to achieve intelligent upgrading of the manufacturing industry. In the process of promoting the construction of smart factories, vigorously developing intelligent solutions is a test posed by the era to every manufacturing plant.

In the era's trend of transforming and upgrading manufacturing plants into smart factories, Alps System Integration (Dalian) Co., Ltd. (referred to as “ALSI”) has always maintained the spirit of craftsmanship, fully developing a maintenance system that is both international and tailored to its own characteristics, providing factories with the most advanced industrial digital economy technologies and highly cost-effective maintenance system solutions——the ALSI Smart Maintenance System. Through application practices in different industry scenarios, this system continuously promotes the innovative development of smart factories.

The ALSI Smart Maintenance System makes repair work fast, thorough, and without dead ends, making the construction of smart factories no longer out of reach. This system uses ALSI's unique intelligent algorithms to continuously extract and learn from the maintenance workers' inspection experience, mining and learning from massive equipment inspection reports and various abnormal operating conditions in equipment operation parameters. By registering and organizing equipment files, it forms an equipment information database, categorizes and summarizes equipment fault diagnosis knowledge, and builds a knowledge graph for equipment fault diagnosis, preparing first-hand information for equipment management, repair, and maintenance. It assists maintenance personnel in improving work efficiency and shortening inspection time. Based on on-site feedback, it pushes fault diagnosis case reports to achieve intelligent equipment fault diagnosis. This system, combined with the ALSI equipment status monitoring system, allows managers to plan maintenance task schedules based on equipment operation records and maintenance personnel work records, and determine the best maintenance worker based on the urgency of the fault, the worker's workload saturation, experience, and location, enabling the orderly construction of smart factories. Before using this system, even if equipment hazards were detected and inspection records were filled, equipment managers might not promptly make planned maintenance notifications based on maintenance personnel feedback, resulting in a reactive maintenance situation. After the ALSI Smart Maintenance System went online, it organically combines daily inspections, periodic inspections, and preventive inspections, focusing on key equipment, turning maintenance from reactive to proactive. This not only reduces the workload of maintenance personnel but also lowers the equipment failure rate, ensuring normal production.

Today, with the comprehensive implementation of smart factories, the ALSI Smart Maintenance System takes equipment maintenance as its starting point. Through intelligent dispatch, predictive maintenance, intelligent early warning, and quantitative performance appraisal standards for maintenance personnel, it opens a new chapter for smart factories, helping factories successfully deal with various thorny problems in equipment maintenance, and contributing to the construction of smart factories.