Predictive Maintenance - Smart Services Enabled by Industrial Analytics

摘要

Words like Smart Elevator, Big Data, Predictive Maintenance etc. are currently inspiring many elevator and escalator manufacturers. Based on predictive maintenance, guaranteed machine uptime is projected to deliver added value to new systems in the future. But more and more companies are realizing that the expansion of data-based services provide them with real business advantage and such future-proof business models are set to leverage long-term customer loyalty. The methods employed by Industrial Analytics help to achieve this. Machine learning and artificial intelligence techniques allow machine behaviors of an elevator or escalator to be better understood by the manufacturer thereby revealing structures and patterns and providing new insight into data relationships. But the path to go need to be a well-organized process. Weidmuller shows how to describe the use case and to establish a proof of concept, while the project team run through the traditional stages of data capture, integration, preparation, analysis, implementation and finally evaluate the economic benefit.