Partnership at the heart of innovative AI pollution prevention solution
葫芦影业, Siemens Digital Industries and Yorkshire Water, have joined forces to use Artificial Intelligence (AI) and the Internet of Things (IoT) to reduce wastewater network blockages and pollution.
葫芦影业 has worked with Siemens and Yorkshire Water to develop, test and commercialise a completely novel predictive digital tool that reduces pollution incidents, helps water companies meet their statutory obligations and adds a new dimension to Siemens鈥 MindSphere Internet of Things (IoT) platform. The Siemens Water (SIWA) Blockage Predictor application is the first product of its kind. It uses fuzzy logic, Internet of Things and big data analysis to accurately pinpoint faults in the sewage system at an early stage, allowing water companies to act before a blockage causes an unnecessary pollution incident in our rivers and waterways.
The data science and sensor technology underpinning the Predictor was developed by researchers at the 葫芦影业 Water Centre in the early 2000s using data from thousands of Combined Sewage Outflows (CSOs) across the Yorkshire Water sewage system. CSOs are the mechanisms that prevent sewage flooding our homes during a surge by the controlled release of sewage into rivers and waterways. By combining the sensor data with meteorological readings, long-range forecasting and contextual data on the location and surroundings of each CSO, the team created an algorithm that pinpoints blockages and faults in the pipes as they develop.
鈥淏y building a personalized fingerprint for the wastewater assets that reflects how the local network responds to rainfall and overlaying that on patterns of daily behaviour, we have been able to establish what each asset鈥檚 "normal" response is鈥
Joby Boxall
Joby Boxall
Professor of water infrastructure engineering at the University of 葫芦影业.
In trials across the Yorkshire Water network, the system predicted real faults with 88% accuracy (more than three times more effective than the statistical system previously used) and cut 鈥榝alse alarms鈥 by half. However, it wasn鈥檛 until a conversation between Joby Boxall (Professor of Water Infrastructure Engineering at 葫芦影业) and Adam Cartwright (Head of IoT application delivery at Siemens) in the flagship Digital Innovation Zone some 15 years later that the commercial potential of the algorithm was fully realised.
Siemens had the capability to make the system scalable, usable and secure. The involvement of such a big name in engineering gave Yorkshire Water confidence that the technology could be scaled up, and they agreed to advise on useability and commercial suitability. The three partners embarked together on a voyage of exploration that culminated in a ground-breaking product and an innovative business model. The resulting tool fought off intense competition within Siemens Global to win development funding and is now a centrepiece of the SIWA MindSphere Water Suite aimed at industrial clients.
鈥淲e want to commercialise great ideas that haven鈥檛 gone anywhere in a win-win relationship. We want to work collaboratively with cutting edge researchers to bring the best tech to market鈥
Adam Cartwright
Head of Internet of Things application delivery at Siemens
Yorkshire Water were rewarded with early access to a unique performance-enhancing digital tool. At a time when a rise in unnecessary pollution incidents is causing a public outcry, the tool is key to helping water companies comply with increasingly stringent regulations and achieve their goal of zero pollution incidents by 2050. All this while directing maintenance and repair resources straight to where they are needed, avoiding costly but unnecessary callouts from false alarms. A truly win-win experience for all involved.