Using big data tools helps our customers make better decisions and improve performance.
Our rail customers face three major challenges in their OCCs:
- The first problem is the lack of a common interface. Control systems all have different ergonomics which makes them complex to use.
- Functional silos are the second challenge. To improve incident management, our customers need links between all their operational systems.
- The third problem is information overload. OCCs deal with raw data from thousands of sensors. To accelerate decision making, operators need easy ways to visualise the data that matters.
What is the Thales’s answer?
Data-driven OCCs exploit the power of data to provide transport operators with the right information at the right time. They work by centralising applications and operational data from sensors and systems. This is achieved through a single, secure Digital Platform, using big data tools, such as machine learning and data analytics to deliver new functions, assist operators and improve system performance.
- Unify the user experience. The data-driven OCC uses a common human-machine interface. This makes life easier for operators and reduces the need for training.
- Eliminate operational silos. Different functions, such as traffic management and video surveillance, can communicate with each other on the platform. This provides new insights and allows a single operator to manage several functions at the same time.
- Allow rapid reaction in a crisis. When abnormal events are detected, information is filtered, focused and prioritised, so operators don’t waste time trying to figure out what’s going on.
- Provide decision support based on real-time data to help operators every step of the way.