The Columbus module as a Technology Demonstrator for Innovative Failure Management
Over the past decades new Failure Management technologies have been
investigated and were presented. With the experience of more than
four years of successful operation of the Columbus Module, which is an
integrated element of the International Space Station, we are now able
to identify technologies which are of interest for the operators.
Efficient employment of the resources is of high interest for all
stakeholders. This fact becomes more important especially for long
term missions. Resource management during operation is also a topic
for the European Air Traffic (Euro Control) and Airport Control. Just
recently the Collaborative Decision Making framework was implemented
here to optimise the resource management. We found Collaborative
Decision Making to be appropriate also for our purpose. Our paper
describes the steps of analysing the tasks and the distribution of
tasks, which need to be performed at the Control Centres. It also
describes the necessary steps on investigating the overall efficiency,
safety, and resilience of the Columbus Ground System. This includes
all elements such as tasks, agents (human and machine), resources, and
their dynamic interaction. Within this framework we are now able to
deploy existing technologies that support the resource management. The
technologies selected so far are the Data Mining for Anomaly
Detection, Model Based Diagnosis, and Complex Event
Processing. Deploying complementary techniques based on either
predictive or field knowledge, we aim to compensate the drawbacks of
one technique with the assets of the other. We are using the example
of the Columbus air loop, and we are able to demonstrate that Failure
Management, besides the fulfilment of the safety and reliability
requirements, can also contribute to an efficient use of the
resources. The technologies will be deployed into the existing
Columbus Ground System using commercial and open source software such
as Enterprise Service Bus (Asteria based on the Apache ServiceMix) and
JBoss Enterprise Business Rule Management System (based on
Drools/Fusion).
E. Noack, A. Luedtke, I. Schmitt, T. Noack, E. Schaumlöffel, E. Hauke, J. Stamminger and E. Frisk
Deutcher Luft- und Raumfahrtkongress,
2012
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