The truly flexible assembly line of the future can flexibly and smoothly handle various variables, from the selection and production of different colors or panels to the installation of fuel and new energy models on the same production line. In order to achieve such flexible intelligent assembly, the future factory needs to carry out real-time planning and optimization of the production line, and the production line can dynamically determine the working area of the tool, and each automatic station can be independent of each other, and can be interconnected according to needs.
Based on such production characteristics, dynamic tightening is particularly important, we need to assign the right task at the right time, in the right place. Therefore, intelligent tightening tools need to have the following characteristics:
Smart position awareness: Smart tightening tools with position awareness know their own work area, are easy to carry, and can receive work instructions from the production system in real time.
Dynamically rebalancable: The product can dynamically determine the next work area, ensuring that when the product arrives at the site, the appropriate tightening tool is available to complete the required operation.
Automatic configuration: The tightening tool can be moved from one station to another and can recognize in advance the correct procedures required for new stations to complete dynamic assembly tasks.
At Atlas Copco, we have a complete set of systems that integrate station management, asset management, systems integration, production optimization, quality management, assembly error prevention and intelligent portals.
Asset management: Grasp the status of equipment, such as tool capabilities, asset information, tool status and digital twins; Easy access to device service information, such as mobile access and predictive maintenance.
Production optimization: Get expert advice on connectivity technologies, such as root cause analysis; Discover hidden problems and provide immediate feedback and suggestions; Enable cloud-based analytics and mobile access.
Quality Management: Automatic quality checks based on production data, comparing production information with quality results, and optimizing quality assurance processes.
