SitErk – Process situation detection

Initial situation:

  • Process experts want to analyse sensorial data with regard to a specific scenario or situation.
  •  A situation is defined by one or more patterns occuring in one or more sensorial data streams.
  •  Partner iba AG has software platform to review data recorded by the iba data acquisition systems. This platform is used as basis for a recognition tool.

Working topics:

  • Development of an index based pattern recognition algorithm tailored to the needs of the iba AG.
  •  Definition and layout of user interfaces for the search of patterns within multi-dimensional signal collections.
  •  Development of a search strategy and logical procedure for finding situation-related interdependencies in multi-dimensional signals.

Results:

  • Functional algorithm prototype running in the iba AG software ibaDatManager.
  •  Tool to manage search patterns with regard to process situations, including defining hand-made search pattern.
  •  Result presentation of a multi-dimensional search, featuring an easily understandable process situation analysis.

 

Recommendation

SafeDewPoint – Acid dew point and corrosion sensors for dynamic waste heat recovery from steel mill flue gases

During combustion of steel mill gases acid dew point temperature varies strongly. SafeDewPoint aims to recover waste heat in hot […]

ReduHeatLoss – Reduction of Heat Losses during Hot Rolling of Long Products

The aim of ReduHeatLoss is to minimise heat losses of hot rolled long products along the rolling process. Many studies […]

REKUKER – Ceramic heat exchanger

Initial situation: Steel recuperators are limited in the application temperature. Ceramic recuperator burners are suitable for 1,200 ° C, but […]

non stick-FiReNi – Development of stress compatible coating systems for the optimization of cutting tools

Situation: Growing demands on cutting tools regarding cutting quality when processing high-quality strip materials, e.g. special paper, FRPs, insulating materials […]