At this year’s SPS IPC Drives trade fair in Nuremberg, IBM exhibited an automated smart quality management system for use in manufacturing developed by IBM Business Partner X-INTEGRATE. The application is based on IBM Cloud technologies via which sensor data is collected and evaluated. The solution is an extended form of predictive maintenance that identifies quality problems in advance in order to plan maintenance, spot assembly errors or even halt production processes automatically. The application was on show from November 28th to 30th, 2017 at Hilscher Gesellschaft für Systemautomation mbH’s booth 540 in Hall 2.
The Internet of Things (IoT for short), combined with IBM Cloud technologies, makes an automated quality management possible that transforms classical predictive maintenance into an Industry 4.0 application. The quality management system was being premiered at the Hilscher booth at this year’s SPS IPC Drives, the international trade show for electric automation, systems and components. The application is based on sensors that record digital data from machines and systems during the production process. The key figures are evaluated locally at the manufacturing machine by means of Edge Computing. That reduces latencies and the burden on networks and central IT systems. The application uses the Hilscher netIOT Edge Gateway, which is based inter alia on IBM IoT Foundation.
The Industry 4.0 application can be used with machines that are, for example, integrated into automobile manufacturers’ assembly lines. Equipped with sensors, the machines can measure operationally relevant machine performance figures in real time, evaluate them by means of Edge Computing and upload them to the IBM Cloud. There they are processed further by IBM’s SPSS statistics solution. With these findings further forecasts can be made about when specified tolerances are likely to be exceeded and how that will affect product quality. This real-time analysis, combined with IBM business process and decision management solutions, makes possible a range of quality assurance scenarios, from maintenance via adjustment of production capacities to a production shutdown.
To ensure audit-proof documentation of all events the IBM database solution Informix is used. All machine data is recorded and evaluated locally and the relevant events are time-stamped and saved to the database. That makes it possible to reconstruct at any time which decisions were made on the basis of which system states and when. By means of continuous comparison of the calculated wear and tear data and the actual situation the mathematical model used is constantly refined and quality predictions are improved with increasing operation.
For further information visit https://www.hilscher.com
For further information visit https://x-integrate.com/
Further information for journalists:
Corporate Communications IBM
Cloud Computing, Startups, Unternehmensthemen
Mobile: +49 151 14270446