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Intelligent probability and impact analysis are used with an Ishikawa diagram. Causes of tank leakage events are identified. Causes were ranked and weights assigned to show their relative importance in the diagram. A Risk Score for each category of causes is identified using probability and impact analysis. The application is explored to predict the risk of leakage in a storage tank. That risk can be mixed with real time data to create an intelligent system. Various methods can be used to predict future system states centred upon an analysis of trends within historic or past data. A simple human computer interface is presented to display the results by overlaying ‘Fail’ or ‘Warning’ states on a schematic of a storage tank. Important information can be flagged alongside conditions. As an example, a surface graph, representing the storage tank condition over a ten-week period is displayed. A continuing deterioration in the score connected with “lack of operating procedures” is presented.
|Title of host publication||Intelligent Systems and Applications|
|Subtitle of host publication||Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3|
|Editors||Kohei Arai, Supriya Kapoor, Rahul Bhatia|
|Publication status||Published - 25 Aug 2020|
|Event||Intelligent Systems Conference - London, United Kingdom|
Duration: 3 Sept 2020 → 4 Sept 2020
|Name||Advances in Intelligent Systems and Computing|
|Conference||Intelligent Systems Conference|
|Abbreviated title||IntelliSys 2020|
|Period||3/09/20 → 4/09/20|
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