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174 IoT Applications — Value Creation for Industry
Fig. 3.9 TECO-Generated gateway architecture for exposing IoT to an ad-hoc SOA.
enterprise data management. Mature exchange formats for time series and
transient recording in the field already address the problem of describing the
measurement conditions. While the time series data is a structured format,
the measurement description and the configuration file which are essential
for understanding and analyzing the data at a later stage, are not often available
in a machine-readable and semantically self-descriptive form. Building
on top of this philosophy, for example, loosely-coupled structured messagebased
web-services provide a well-defined way to exchange configuration and
measurement data with sensor nodes and automation systems [12, 13].
We have developed pragmatic light-weight strategies [12] for combining
on-site online (real-time) measurement and configuration services with postmeasurement
enterprise data-exchange in a consistent way by using web services
and model-based data transfers down to device level. In general, wireless
ad-hoc measurements highly depend on the measurement context. By building
on ideas presented in [14] we can provide a contextual framework for federating
this information (with respect to context parameters such as: location,
time, causal relation to configuration and setup, measured equipment, sensor,
device capabilities). We describe aspects specific to field measurement and
maintenance tasks in semantically linked way and the framework will directly
integrate existing workflows with a mobile ad-hoc measurement setup on-site.
In contrast to common existing approaches we especially trade-off between