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
Border security passenger screening
You are here:
Home
/
Portfolio / Border security passenger screening
Border security passenger screening
Development of
a border security passenger screening application for an international client and border security agency.
Passenger screening and risk
profiling can be unpredictable by nature and require fast response times. This information is not always
accurate. Data sources are diverse e.g. immigration systems, national watchlists, traveller records/history,
visas as well as external sources such as Interpol’s lost and stolen records. Corballis’ client requested us to
implement a real-time and scalable passenger screening system that can be integrated with various data sources
and provides response times in the milliseconds range.
We delivered a custom analytic
tool which aids border security agents to analyse connections between passengers and targets in near
real-time. The implemented system architecture allows border security agencies to handle hundreds of
millions of passenger records each year without any impact on the system’s performance. The solution
leveraged Corballis’ innovative graph visualisation library, which supported the graphical representation of
people and the connections between them in the form of a graph that can be used to execute complex search
queries, revealing hidden patterns and linkages. This tool allows users to search and view visualisation
networks in near real-time.
Analytics services included:
- Advanced passenger screening module based on a distributed NoSQL and graph
database
- roles and responsibilities
- Integration with third party data sources (watch lists, lost and stolen
records, immigration systems, etc.)
- Automatic data quality management (data cleansing, de-duplication, auto
correction of mistakes, validation, etc.)
- Advanced searching capabilities (fuzzy matching, “more like this” querying,
etc.)
- Target profile management
- Scalable architecture
The Corballis visualisation library supported the following functions:
- Accessing of huge amounts of data in easily digestible visuals
- Interactive visualisations make it easy to explore and analyse large
quantities of passenger data
- Highlighting of exceptions and outliers
- Customisable flight and passenger network visualisation
- Intelligent layout mechanisms to make sense of data easily
- Rich set of interactive controls
- Zooming, panning, drag & drop support
- Dynamic filtering of the visualisation to allow drill-down and roll up
operations
- Export the visualisations to a wide range of formats (images, JSON, PDF,
etc.)
2019-12-20
Proactive safety performance for operations
You are here:
Home
/
Portfolio / Proactive safety performance for operations
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