Burgas Municipality has been heavily investing in the development of a safe and efficient water supply and sanitisation infrastructures, as reflected in recent initiatives, including: (i) The provision of a 32.4 million EUR loan to Burgas Water Supply and Sanitation Operator (“Burgas WSSO”), which is aimed at the co-financing of investments in the infrastructure Burgas WSSO is a state-owned company and sole provider of water supply, wastewater collection and treatment services in the Burgas region; (ii) The recent (March 2021) approval of an investment of over €63 million EUR from the Cohesion Fund to provide better access to drinking water and improved sewerage for the people living in the district of Burgas.
In the scope of the AI4PublibPolicy pilot, EKSO and BURGAS will collaborate in the development of a policy making tool that will create and evaluating alternative water pipes maintenance plans, based on data-driven insights about the water management infrastructure (e.g., information about pipes’ installation, placement, and maintenance) and its operative condition (i.e., leveraging EKSO pipes).
Leveraging data about the water management networks (i.e. pipes installation & placement) this use case will analyse different maintenance schedules from a financial perspective, including service, repair and maintenance costs for the pipes that comprise the water infrastructure. In this direction, specific segments of the infrastructure may be selected for analysis in the scope of the project. Furthermore, alternative maintenance schedules are analysed in terms of their cost and environmental impact, towards recommending and selecting the best possible scenarios
Water infrastructure, AI, water losses reduction, water quality, maintenance cost reduction, sustainable development goals, smart water technology
This use case extends the previous one with condition-based monitoring data for water pipes, towards extending their lifecycle and improving maintenance schedule.
In this direction, the data-driven analysis is extended with sensor-data derived by EKSO pipes. The analysis will blend information from the previous use cases with lab based data from EKSO with a view to evaluating the added-value of smart pipes and condition-based maintenance for policy making.
Pipe replacement, water infrastructure, AI, water losses reduction, water quality, cost reduction, sustainable development goals, smart water technology
Date: 5 April 2022 Location: Burgas The second co-creation workshop for the Burgas p...