Evaluating Arrowhead Framework for Dynamic Condition Monitoring Applications and Edge Computing in Mining

Abstract

Condition monitoring and predictive maintenance of the equipment is an important topic of production environments, and many equipment manufacturers offer data services and build service business upon them. To further advance Metso's capabilities, the configuration on how the data collected at the field, and how it is moved to the cloud for further processing and analysis, needs more advanced solutions. Typical equipment manufacturer's customers from all over the world have numerous pieces of equipment on their sites. In this paper Arrowhead Framework and dynamic service discovery provided by it, are evaluated as a potential technology that could help machine and equipment providers to achieve better configurability of its data collection devices at the edge of the network.