Anomaly Detection in Chemical Processes with Semantic Knowledge Graphs: An Approach to Reduce Cause-Effect Diagrams
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
When operators and users face an unexpected problem regarding the process, it would be easier and less time-consuming for them to narrow down the possible causes that result in the final issue. In this study, a pilot modular plant with two Process Equipment Assemblies was considered as the use case. At first, a knowledge graph representing this process was developed in Protégé software, which semantically described not only the equipment type and connectivity but also the behavior of the process. Then, the knowledge graph was imported to Python, where the sensor data were placed in their particular position in the knowledge graph. Afterward, an algorithm was developed to query the knowledge graph and verify if the relevant equipment was functioning correctly or not. Our results indicate that this approach can reduce the cause-effect diagrams in almost all scenarios. Nonetheless, there are situations where further sensor data (e.g., the temperature in a tank) is required for the algorithm to decide.
Details
Original language | English |
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Title of host publication | 33rd European Symposium on Computer Aided Process Engineering |
Number of pages | 6 |
Publication status | Published - Jan 2023 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0003-3753-3778/work/142238508 |
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ORCID | /0000-0001-5165-4459/work/142248312 |
Scopus | 85166933877 |
Mendeley | 12f29a87-628f-3688-8742-9b4c65f483aa |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
- Interactive and Intelligent Systems, Image and Language Processing, Computer Graphics and Visualisation
- Information Systems, Process and Knowledge Management
- Automation, Control Systems, Robotics, Mechatronics, Cyber Physical Systems
- Software Engineering and Programming Languages
- Operating, Communication, Database and Distributed Systems
- Human Factors, Ergonomics, Human-Machine Systems
- Chemical and Thermal Process Engineering
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
Keywords
- Decision making, Process behavior, Cause-effect graphs, Semantic knowledge graphs