Ambisense, an IoT and AI analytics business that helps companies to mitigate environmental risks and improve sustainability, has revealed how its geo-environmental AI technology has helped reduce the Lower Thames Crossing project’s carbon cost of construction.
Ambisense was involved in the preliminary ground surveys in support of National Highways’ Lower Thames Crossing, which looks to transform links between Kent, Thurrock, and Essex in the UK, and provide a key gateway for trade between the midlands and the north.
According to Ambisense, the Lower Thames Crossing is the first major UK infrastructure project to use its procurement to target low carbon construction with incentives that drive further continuous carbon reduction across projects of this type.
Over 12 months, Ambisense reportedly provided >97% more data than conventional monitoring, and contributed to reducing the carbon cost on the Lower Thames Crossing project by supplying data that was automatically, continuously, and securely transmitted, resulting in 90% fewer site visits.
Data analytics also reduced the risk of over-engineered designs, minimising the use of materials, such as concrete and steel, and reducing use of other resources, according to Ambisense.
“This ‘pathfinder’ project has made use of carbon neutral construction as part of its efforts and ambitions to make the new crossing the greenest road ever built in the UK,” said Stephen McNulty, CEO and founder of Ambisense.
“The project will help the UK reach net zero by 2050, which is a very exciting prospect. Additionally, this sets the standard for all other infrastructural projects to be executed in a low carbon way in the future.”
The proposed route, which has been in discussion for more than 10 years, is estimated to open in 2029 or 2030.
