Abstract
Abstract
With the rapid development of electronic manufacturing industry in China, defect detection of printed circuit board (PCB) is particularly important in order to improve its quality and reduce its production cost. The cost of PCB has always been discussed in depth by practitioners, but there are few fixed models for replication, although confidentiality is the key reason. However, due to the long process of PCB and the variety of products, it is really difficult to be comprehensive. Therefore, based on the cloud platform, the author studies the PCB cost data system. Research shows that the cloud-based PCB cost data system allows management to master energy consumption data more effectively and in real time, effectively grasp the monitoring reports of production costs and energy consumption, and control the production equipment in a safe state in real time. Improve management capabilities.