Predictive Maintenance by means of sensor technology
As a consequence of increasing complexity and digitalization the subject area “Technologies of Industry 4.0” is an important factor for the success of a production line. Currently, divis is involved in the development of a system for predictive maintenance for the automotive industry. The focus lies on a thorough data acquisition by means of a sensor technology that has to be implemented into the production process. Due to these data it is possible to generate models which make predictions concerning the plant condition. Also the subsections of the plant are considered and linked with each other. The aim is, for example, to get improved maintenance schedules for each plant or to be able to react timely if a malfunction occurs to prevent a down time.