Case study of a production machine in a company that repairs and makes machines and spare parts for the textile industry. An M-Duino PLC reads the encoders and the sensors of the machine, a Panel PC based on Raspberry Pi shows the live indicators and the warnings, and a MySQL database keeps the history and links to the maintenance planning tool. Preventive maintenance works by set parameters, and predictive maintenance by the history. Warnings and alarms go out by email or mobile messaging.

The PDF covers the challenge, the three stages (watch live, store and plan, predict from history), the system architecture with the signal list and the hardware used. Interactive version: production machine maintenance case study online.