ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants
Lastest Update: 25th April 2024
Introduction
a novel interactive system visually analyze the control strategies of coal-fired power plants extracted from historical sensor data.
Motivation
- Environment
- Risky
- Limited datasets and strong assumptions
- Difficult to capture the potential spread of the impact of control strategies
Challenges
- Extraction of control strategies
- Cascading impact
- Time-lag-aware analysis
Requirement and design
- [R1] Extract the impact of control strategies with time series queries (forward)
- Discretizing time series
- Aligning sensor events
- Matching partial strategy
- [R2] Identify responsible control strategies for anomalies in important sensors (backward)
- Time-lag-aware breadth-first search
- Time-lag-aware breadth-first search
- [R3] Explore the spatial propagation of control strategy impact
- relationship-oriented/Context-oriented
- relationship-oriented/Context-oriented
- [R4] Obtain the temporal cascading of control strategy impact
- topology-temporal-separated
- topology-temporal-separated
- [R5] Inspect the details of the sensor time series
Critical thinking
- Multi-dimensional visualization
- Link
- Extend to other domains with strong temporal correlation