Wireless Sensing and Radio Identification systems have undergone many innovations during the past years. This has led to short product lifetimes for both software and hardware compared to classical industries. However, especially industries dealing with long-term support of products, e.g. of industrial machinery, and product lifetime of 40+ years may especially profit from an Internet of Things. Motivated by a practical industrial servicing use case this paper shows how we hope to make equally sustainable IoT solutions by employing a model driven software development approach based on code generation for multi-protocol web service gateways.
Abstract-Servicing industrial machinery and automation systems over their life targets at fast response and fast resolution. It requires skills, engineering knowledge and various data about the machine, its industrial environment, data from automation systems in the plant and historical information, which needs to be collected, correlated and analyzed. The advent of tiny smart devices such as RFID and networked wireless sensing nodes are promising and challenging for use in servicing industrial equipment. In this paper we identify fundamental challenges and requirements for establishing wireless networked sensing systems for industrial service applications. We further report on first design considerations for developing practical solutions and experiences from using prototypes in a test bed.
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