There is a great deal of information around a machine that can be compiled and analysed. What information do I record, how often, where do I store it, how can I use it, how can I view it, which format, which environment. This asset offers responses through a Generator and the storage of the machine’s digital fingerprints and customised and multi-control HMI that can be integrated in the machine’s control panel. Machine digital fingerprint generator and storage for the regular monitoring of the health of machine components, based on the values of CNC variables and sensors, obtained during the performance of test cycles and comparing them to the values obtained in the fine-tuning of the machine. The application of data mining techniques to the Fingerprints obtained throughout the lifetime of the machines enables new deviation limits to be established with respect to the normality pattern, and more robust Fingerprints and fault detection techniques to be obtained. Customised and multi-control HMI for integration in the machine’s control panel. Development of visualisation solutions to monitor/manage Machine-tool data from different manufacturers . The solution uses HTML5 open technologies to generate the visualisation interface, so that the visualisation is applicable (and reusable) in different CNC of diverse manufacturers (such as Heidenhain, Fanuc or Siemens, for example).
Digitalization and Conectivity
Advanced data acquisition System, XPI, from National Instruments
Advanced data acquisition System, XPI, from National Instruments
DAQ standard LabView equipment
DAQ standard LabView equipment
IoT equipment and embedded hardware
IoT equipment and embedded hardware
Machine-tool numeric controls.
Machine-tool numeric controls.
Sensors for the acquisition of signals that make up the machine fingerprint (accelerometers, thermocouples, etc.) and associated electronics.
Sensors for the acquisition of signals that make up the machine fingerprint (accelerometers, thermocouples, etc.) and associated electronics.
Visualisation of internal CNC data in an HTML5-based interface
Development and implementation of machine-tool fingerprint for the regular monitoring of the health of machine components, based on the values of CNC variables and sensors, obtained during the performance of test cycles and comparing them to the values obtained in the fine-tuning of the machine. Design, development and implementation of the HW and SW required for edge and cloud computing.
Selection and integration of sensors in assets and processes to capture the critical variables as per the aim
Development of self-powered sensors with low consumption communicated with data storage platform