Laser cutting machine assistance system based on cloud edge collaboration

The safe, stable, efficient, and environmentally friendly operation of laser cutting machines is crucial for laser cutting companies to enhance productivity and ensure safe production. Real-time acquisition, analysis, and diagnosis of machine tool system operation status information provide technical support for machine tool fault diagnosis and maintenance, thereby achieving optimal operational efficiency. The advancements in edge computing and the growing application of artificial intelligence have rendered traditional laser cutting machine tool monitoring and assistance systems obsolete in the context of modern intelligent manufacturing. This paper presents a remote monitoring and assistance system for laser cutting machine tools based on cloud edge collaboration. Intelligent devices are utilised for on-site data collection, employing various communication protocols, including HTTP and WebSocket. It realises comprehensive control of the IoT platform, equipment diagnosis and data analysis on the remote expert maintenance platform, and autonomous decision-making at the edge. It also forms the corresponding web-based interface and PC and mobile monitoring and interaction software. Laboratory tests have demonstrated the system’s viability in enhancing the productivity and maintenance of laser cutting machines. It provides a cost-effective remote diagnostic and maintenance solution for laser processing companies.