STEN

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S-TEN

• Intelligent Self-describing Technical and
  Environmental Networks

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S-TEN project data

• Project-Acronym S-TEN
• Project-Title Intelligent Self-describing
  Technical and Environmental Networks
• Sponsors European Union within the
  Information Society Technologies (IST)
  Programme
• Begin 1st April 2006
• Duration 2 ½ yearsPartners 8
  Co-ordinator FGH

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S-TEN Partner
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Motivation

• State-of-the-art
• Proprietary SCADA systems
• Decision support systems use ad-hoc algorithms
• International standards in the field of
  engineering do not have the formal basis of an
  ontology language and are not accessible to
  inference engines
• Future
• Intelligent self-describing networks providing
  decision support
• OWL representation of International Standards

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State-of-the-art

• Network definition is held on centralised data
  bases.
• There are no widely used standard schemas for
  network data bases.
• Acquisition of measurement data Data is acquired
  from measurement devices by proprietary SCADA
  systems. Measurement history is stored in
  proprietary data bases.
• Decision support Most current decision support
  systems use ad hoc algorithms.
• Visualisation of networks and measurements is
  provided by proprietary systems, with their own
  data formats.

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Future

• Network definition The centralised network data
  base will be
• replaced by Web published data.
• Acquisition of measurement data Measurement
  devices publish current measurements on the Web.
  The devices also publish measurement history
  using the standard ontology developed by
  ScadaOnWeb (EU IST 30067).
• Decision support Features of measurement data
  are extracted by a general purpose toolkit and
  recorded formally using OWL and an ontology for
  measurement features.
• Visualisation of networks and measurements
  Information about networks and measurements,
  published on the Web using OWL and standard
  ontologies, is collected into STEP (ISO 10303)
  compliant files for processing.

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Scope An overview

• Intelligent self-describing networks
• Application of rule bases to the information
  about the network and the measurements to perform
  process monitoring and control operations
• Linking observations and measurements with design
  knowledge

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Scope Intelligent self-describing networks

• The use of the ontologies and web services on a
  web server associated with a physical network
  device enables the device to have an autonomous
  Web presence. The physical device needs to be
  cheap, portable and self-contained. The software
  on the device should publish data about its
  existence and state on the web using OWL.
• The use of the ontologies and web services by a
  software application that finds the current
  status of physical network by searching data
  published autonomously by different network
  components.
• The demonstration of the self-describing network
  capability using existing network visualisation
  software.

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Scope Decision support

• The use of rule bases applied to SCADA data,
  which requires an ontology of features within
  measured data, and the detection of these
  features. The existence of a feature in the
  measured data can trigger the application of a
  rule.
• The development of a prototype application that
  enables the browsing and creation of rule-bases
  applied to networks using a GUI (graphical user
  interface). This GUI must hide the complexity of
  engineering data from the end-user, and must
  enable the selection of appropriate features.

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Scope Linking with design knowledge

• The creation of ontologies from STEP information
  models and the definition of the relationship
  between these ontologies and ontologies derived
  from other sources, such as ISO 15926 and IEC
  61970.
• The development of two way translators between
  data represented according to STEP and data
  represented according to the OWL ontologies. The
  translators will be used within the demonstrators
  to provide design data that can be accessed by
  inference engines, and to visualise a
  self-describing network.

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Diagrammatic representation of the S-TEN approach
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Prototype Applications

• Environmental Monitoring
• Control of Distributed Resources in Electrical
  Power Networks
• Secondary Control of Electrical Power Systems
• Initial Operation and Preventive Maintenance in
  Electrical Systems

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Standardisation

• Definition of standard ontologies for the
  publication of network information on the Web
• ISO 15926 (Life cycle data for process plant,
  including oil and gas production), committee
  TC184/SC4 WG3 T25
• Definition of a methodology for the extraction of
  ontologies from existing international standards.
• STEP (ISO 10303 Product data representation and
  exchange), committee ISO TC184/SC4 WG12
• IEC 61970 (derive APIs from the Common
  Information Model (CIM) for electrical
  distribution and transmission networks),
  committee IEC TC57 WG13

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User Group

• assists with practical advice and application
  scenarios
• provides feedback to S-TEN activities
• meets periodically meetings (usually in
  association with other industry events)
• is provided with the latest news of the project

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Innovation

• A device uses an ontology to announce
• its existence,
• position in a network, and
• the services it provides
• Human qualitative observations are captured and
  published on the web using a formal ontology
• Rules are developed to support system operation
  which can be applied to any technical data
  available on the web
• Design information in STEP is expressed using
  OWL - two worlds which up to now have been apart