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
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- 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
2019-12-21
Human and organisational factors taxonomy
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Portfolio / Human and organisational factors taxonomy
Human and organisational factors taxonomy
Human and
Organisational Factors Aviation Taxonomy Innovation Project
As part of the development of Safety
Management System (SMS) software tools, it is necessary to include a taxonomy for classifying human and
organisational risk factors (HOF). Several taxonomies exist, for example MEDA, HFACS, Tripod Delta, ADREP,
HEIDI, HERA, and are in use across the potential end users of the software. To maximise the applicability of the
SMS software tool, one taxonomy should be included with strong mapping to the existing taxonomies in use by
potential customers. The goal of this research project was to identify the main taxonomies used by potential
aviation customers and to generate a single generic mapping for use within our safety management product.
This
research carried out by the Centre for Innovative Human Systems (CIHS) Trinity College Dublin (TCD) in
collaboration with Corballis Consulting was funded by Enterprise Ireland through their Industry Innovation
Voucher programme. The research produced a three-tier universal human factors taxonomy that mapped to all
the major aviation taxonomies currently in use.
2019-12-20
Air traffic control – Safety management system
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Portfolio / Air traffic control – Safety management system
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
Safety performance management – Eurocontrol
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Portfolio / Safety performance management – Eurocontrol
Safety performance management – Eurocontrol
Development,
deployment and support of a safety risk monitoring solution for European regulatory bodies and for state air
navigation service providers.
Traditionally, safety performance is
measured by the use of reported accidents and incidents that compromise certain specified safety criteria in a
number of operational areas. A drawback with such measurements is that they can distort the subsequent
mitigation efforts by focusing on the performance of a particular local safety measure, rather than considering
an integrated system-wide measure. A system-wide indicator is required from which long term trends can be
identified for better risk management. In collaboration with EUROCONTROL and Aloft Aviation Consulting,
Corballis has participated in the development of a performance monitoring tool that combines multiple KPIs
through an innovative process of aggregating data based on data relationships and assessments of influence of
KPIs within the operational system.
The application imports mandatory
safety incident data and aggregates it to represent a single view of air traffic safety across Europe. This
is achieved by aggregating multiple operational safety risks, expressed as the sum of reported incidents, in
a weighted manner, into one value that can vary over time. It was designed to support European and national
safety policy changes across Europe.
The performance monitoring tool includes:
- easily definable performance objectives and goals
- implementation of the EUROCONTROL APF methodology
- interactive dashboard with charts, gauges, counters and data lists
- sophisticated visual data cube techniques (similar to pivot tables in
spreadsheet products) to explore, drill-down or roll up data
- KPI data importer for easy connection to existing data sources or uploading of
files (Excel, CVS)
- innovative definition of the KPI hierarchy using mindmaps
- export support to a wide range of file formats and APIs
2019-12-20
Airline and travel data processing
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Portfolio / Airline and travel data processing
Airline and travel data processing
Development,
deployment, upgrade and support of a generic Messaging Gateway application for a large international aerospace
and defence company.
Governments are required to manage
and secure their borders through the use of traveller intelligence. This is achieved by collecting passenger
information from airlines operating flights to and from their country. Collecting traveller information is a
complex process, because governments need to deal with a large number of airlines and border security agencies
are required to comply with international data protection laws. The aim is to simplify the collection of
traveller data for border management, profiling and threat analysis. The solution Corballis implemented for its
client greatly simplifies the process of data collection, allowing border security agencies to concentrate their
efforts on the actual data and threat analysis.
Our solution supports the
collection of critical Advance Passenger Information (API) and Passenger Name Record (PNR) data within a
flexible platform designed to accommodate varying government and border management requirements. It
seamlessly integrates into the border management and border control systems.
The Messaging Gateway’s capabilities include:
- efficient collection of all common types of data formats used for traveller
data
- flexible architecture that makes adding new types of data formats
straightforward
- native handling for XML structured traveller messages
- powerful tools for accelerated and seamless integration
- broad range of supported transport mechanisms (MQ, email, FTP, SFTP, web
services, etc.)
- configurable publishing mechanism that can be used to expose traveller data as
a service
- customisable distribution and cleansing of traveller data to multiple
systems
- automated archiving and cleaning simplifies database administration
- familiar e-mail look and feel, enabling support staff to visualize, inspect
and examine data for diagnostic purposes
2019-12-20
Border security passenger screening
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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
Customer portal for statutory inspection and
certification
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Portfolio / Customer portal for statutory inspection and certification
Customer portal for statutory inspection and certification
Replace the
legacy customer portal with a modern technology stack and mobile friendly user interface for a lifting and
handling equipment test house.
Lifting and Handling Ltd (LHS) is a
nation wide independent test house that provides statutory inspections and certifications of plant and machinery
for both public bodies and the private sector. The previous version of the customer portal was a first
generation web application. Although advanced for its time, it now lacked the functionalities of next generation
web and mobile applications. Corballis engaged with LHS in an iterative modernisation process to re-build their
system. The new system allowed LHS to enhance their existing customers’ experience with improved reporting,
navigation and system performance while keeping a familiar look and feel.
The customer portal underwent a
major technology upgrade to a responsive frontend framework and an enterprise grade backend system.
Additionally, Corballis integrated a state of the art document management system along with customisable
dashboards and flexible reporting system.
To ensure that lifting and handling equipment is inspected and serviced in accordance with National and
European legislation, Corballis was required to implement a technology solution to support:
- analysis and reporting across a large asset register with 300,000 plant items
inspected
- asset tracking of equipment over multiple sites nationwide
- inspection to a professional standard: BS EN ISO/IEC 17020:2012 Bodies
Performing Inspection
- 24/7 online access to customer equipment data
- enhanced security (communication over SSL), reliability and resiliency
- storing and searching of large quantities of documents
- interactive dashboards with charts, gauges and tables
- advanced reporting with on the fly PDF export functionality
- any devices (desktop, tablet, phone) regardless of their resolution
(responsiveness)
2019-12-20
Proactive safety performance for operations
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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:
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- airspace capacity
- traffic flows
- separation procedures
- pilot requests for new demands
- weather restrictions
- airport restrictions