Application of
data mining, real-time monitoring and visualisation techniques to allow prediction and mitigation of risks in
flights before safety events occur (proactive safety management).
This project focused on integration
of data from different sources (airport and airline data) and from different databases (safety-related data and
operational data) in order to identify robust predictors of outcome variables by applying advanced analytics and
visualisation techniques. The aim of the project is to contribute to stakeholders’ capacity to intervene
proactively on predicted risks by providing a technology solution that supports the identification and
implementation of automatic notification barriers to alert operators of impending safety threats.
We
delivered the pattern matching and performance management components of our state of the art safety
management system that provides functionality for data collection, real-time data processing, visualisation,
notification and alerting to inform crews, flight planners and other decision makers about increased levels
of risk before a flight takes off.
The solution included the following features:
- Integration of safety and operational data across different databases and
different stakeholders
- Application of advanced data mining techniques to detect
-
- patterns of variables (risk patterns)
- combinations of values that affect the likelihood or severity of
safety events
- Continuous monitoring of safety and operational performance indicators
- Matching of performance indicators to risk patterns identified from historical
data
- Automatic notification module informs relevant stakeholders of any patterns or
alarms that were raised by the risk pattern matching function
- Completely customisable dashboards with charts, gauges, counters and data
lists
- Multiple dashboards: private or shared dashboards
- Flexible searching and filtering
- Sophisticated data cube techniques to explore, drill-down or roll up data
(similar to pivot tables in spreadsheet products)
- Limitless scalability without impacting on performance
2019-12-20
Air traffic control – Safety management system
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Air traffic control – Safety management system
Design and implementation of an Air Traffic Control safety console for information analysis and integration of operational and safety performance data.
The objective of this project was to develop a safety method that considers systemic and dynamic aspects of safety as part of an integrated safety management system. Risks emerge gradually from the interaction of stakeholders, but unfortunately nobody has the full picture to understand them. A technology is required to capture the ‘risk patterns’ that emerge from this interaction between stakeholders. To achieve a total optimisation of the system, the safety concept must address the trade-offs between safety and productivity. Because a lot of existing safety knowledge is captured in bow ties and barrier analysis, the safety concept must properly interface with bow ties together with risk patterns and data mining techniques.
2019-12-20
Proactive safety performance for operations
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Proactive safety performance for operations
Design and
implementation
of an Air Traffic Control safety console for information analysis and integration of operational and safety
performance data.
The objective of this project was to
develop a safety method that
considers systemic and dynamic aspects of safety as part of an integrated safety management system. Risks emerge
gradually from the interaction of stakeholders, but unfortunately nobody has the full picture to understand
them. A technology is required to capture the ‘risk patterns’ that emerge from this interaction between
stakeholders. To achieve a total optimisation of the system, the safety concept must address the trade-offs
between safety and productivity. Because a lot of existing safety knowledge is captured in bow ties and barrier
analysis, the safety concept must properly interface with bow ties together with risk patterns and data mining
techniques.
The Corballis Safety Management
System and Pattern Matching System were
configured to support air traffic controller decision-making and operational risk management. An ATM
dashboard
has been developed integrating aspects of complexity, safety and operations in air traffic control.
The ATM information solution consists of the following functions:
- An ATM SMS dashboard which is a meaningful context for embedding a complexity
metric along with operational and safety related data that the controllers need to do their job in
monitoring traffic on the radar and in team coordination
- A safety console that updates information about hazards and occurrences
- The system supports the management of safety objectives including performance
indicators
- It receives feedback in terms of imminent hazards and safety barriers
- Integration of information from different sources to serve both operational
and safety requirements
- A new safety method for relating complexity to hazards and risks
- Monitoring of KPIs and responsibilities in applying barriers to hazards
- Provision of data for applying data science approaches to identify risk
patterns
- Identification of daily hazards in a ATM dashboard
- Evaluation of changes over time in leadership, safety programs and
procedures
- Implements a complexity metric that integrates a multiplicity of factors such
as:
-
- airspace capacity
- traffic flows
- separation procedures
- pilot requests for new demands
- weather restrictions
- airport restrictions