The development process of complex products requires a wide variety of equipment with a large quantity. Traditional equipment scheduling is difficult to meet rapidly changing production demands, and the efficiency and effectiveness of key bottleneck equipment are low. The existing inspection mode has a large granularity, and when equipment fails, the response time is long, the maintenance process and results are difficult to monitor, and the realtime operation status of the equipment cannot be obtained. Based on information technology such as micro-services, B/S architecture, Web-Service, this article constructs an equipment intelligent connection cloud platform based on the whole lifecycle to ensure the authenticity and reliability of "one account for one equipment", establish an equipment sharing mechanism, improve the equipment sharing rate and utilization rate, and achieve capacity improvement. At the same time, an equipment map is established to achieve realtime detection of equipment data through equipment networking, and analyze equipment failure and health trend estimation of collected data to optimize equipment maintenance and pre-maintenance strategies, improve equipment support capabilities. The equipment intelligent cloud platform achieves significant improvements in equipment time utilization rate, performance utilization rate, and good product rate through equipment status visualization, information intelligence, and business digitalization, effectively improving the operational reliability and value of assets, reducing maintenance costs, thereby improving the overall operational quality of enterprises and reducing overall costs.
No takes yet. Share an insight, caveat, or question.
Weicong et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: