Sewer Network Performance Platform

Tender description

The scope of the contract is for the provision of a user interface that offers visualisation, alerting and reporting on our sewer network performance. A key requirement is that the platform allows for dynamic interaction by the user. Expenditure and level of demand is currently unconfirmed, but we have 76,000km of sewers and 11,000 existing sensors with plans to triple this as we develop greater in depth knowledge of our network across our most critical areas of our network. With this system, Anglian Water will be able to: • Identify and predict blockages or restrictions within our network, using AI and machine learning. • Identify and report on network performance • Predict performance of the sewer network with the ability to drill down to catchment level • Visualise, report and alert on data from a variety of sources in our network. • Drive condition based monitoring into our maintenance strategies • Visualise flow strategies that bridge between above and below ground assets • Enhance our Incident management capability (asset condition triggers) • Identify sensors that aren't working properly and understand the performance of all sensors. • Extract data from the platform Lot 1: The scope of the contract is for the provision of a user interface that offers visualisation, alerting and reporting on our sewer network performance. A key requirement is that the platform allows for dynamic interaction by the user. Expenditure and level of demand is currently unconfirmed, but we have 76,000km of sewers and 11,000 existing sensors with plans to triple this as we develop greater in depth knowledge of our network across our most critical areas of our network. With this system, Anglian Water will be able to: • Identify and predict blockages or restrictions within our network, using AI and machine learning. • Identify and report on network performance • Predict performance of the sewer network with the ability to drill down to catchment level • Visualise, report and alert on data from a variety of sources in our network. • Drive condition based monitoring into our maintenance strategies • Visualise flow strategies that bridge between above and below ground assets • Enhance our Incident management capability (asset condition triggers) • Identify sensors that aren't working properly and understand the performance of all sensors. • Extract data from the platform