German companies Sensor-Technik Wiedemann and Software AG will retrofit buses in London, England, with new technology for remote condition monitoring of exhaust gas treatment systems.
The new solution uses Software AG’s Cumulocity Internet of Things (IoT) platform to power remote condition monitoring of exhaust gas treatment systems for London buses. This will be vital to implementing the Greater London Authority’s objective to create an ultra-low emission zone within the city.
Sensor-Technik Wiedemann (STW) will use its expertise and experience in the field of vehicle telemetry to develop a new telematics controller, with built in GPS navigation, which will be installed on more than 5,000 buses in London by 2021. These buses will also be fitted with catalytic reduction technology, which use particle filters and catalytic converters to reduce engine emissions, including nitrogen oxide and particulate matter.
STW has rebranded the Cumulocity IoT platform as ‘STW machines.cloud’, and welcomes the platform’s open and secure architecture. The software also allows remote condition monitoring of technical data, faults, route, locations and fuel consumption of vehicles, all in real time.
What have the stakeholders said about the project?
Dr Michael Schmitt, CEO of STW, welcomed the collaboration between the two organisations, and the work of HJS Emission Technology, which is providing the catalytic reduction technology to reduce emissions in buses.
He explained: “STW machines.cloud provides user and device management and can connect, monitor and analyse operations in real-time. HJS will use it to gain significant insights into the vast amount of data streaming from the embedded devices in retrofitted buses [and] can use the big data to detect patterns alerting them to problems in either their system or the bus engines.”
He added that the remote condition monitoring technology will also be vital for providing documented evidence for Transport for London, and that the use of these systems will help to develop more effective smart city systems and usher in predictive maintenance for vehicles.
