Issues
Areas
Solutions
TRL Level
SRL Level
The LIS-platform, a BIM-based software platform, is being developed to monitor various aspects of buildings. This platform provides a comprehensive overview of structu...
Our innovation provides the technical basis for data-driven flood risk management in the 21st Century. The platform provides the technical infrastructure and functionalities for building, performing and managing flood risk analyses in the cloud.
21st Century proof means here (1) that data is stored and accessible to be used following the FAIR (Findable, Accessible, Interoperable and Reusable) data principles (see go-fair.org), (2) that analyses can be automated and - seamlessly - transformed into information services. And (3) it means that the platform is open. Open in the sense that external data, models, tools and scripts can be utilized to enhance flood risk analyses and information services. Through its open API, the platform is engineered to leverage the advancements in artificial intelligence and hydrodynamic computing for flood risk management.
For this project we are going to use the platform to explore three different modelling approaches:
1. Utilising the InfoWorks ICM model of Brixham (currently in development) to expedite the development of a 3Di hydro-dynamic model. 3Di enables real time model “What If?” scenarios which would be the first step in realizing a “live” analysis model within the Brixham catchment supporting spatial planning, response and recovery operations, community engagement and Property Flood Resilience and flood barrier deployment.
2. Running a data-driven AI model (based on available historic data) of flood risk to the catchment
3. Integrate a catalogue-based surface water forecasting model (Flood Foresight)We will assess the benefits and limitations of each of the three modelling approaches to provide flood warnings which could, in the future, be used to support a flood early warning and resource allocation during such an event. The platform is engineered to serve as backbone for operational services and dashboards (e.g. in flood early warning services), to perform, use and manage traceable flood risk computations (e.g. for the development of flood risk maps and what-if analyses to select measures for flood mitigation) and to store, publish and process flood risk information (e.g. for flood risk communication tools and websites).
See more information about this level and the TRL and SRL levels.
The market assessment of this innovation has been self-declared by the provider and has not been independently verified. For more details, please contact the innovator directly.
– Flood focused Digital Solutions: combining existing data and machine learning into one platform for determination of flood risk and asset warnings, along with strategic resource allocation of mitigation measures during floods.
– Flood focused Infrastructure and people solutions: the data-driven Flood Risk Management Platform could be used to support with strategic installation of mobile flood barriers for the coastline and high-risk roads, and enhance communication for coordinated responses.
Our innovation was developed partly independently, partly via EU funded R&D projects.
Data: Access to the Brixham InfoWorks ICM model is essential to allow development of the 3Di hydraulic model at a minimal cost. Additionally, the success of the data-driven AI model will be dependent on the quantity and quality of the historic data available to support its development, although it may also be possible to train this on hydraulic model outputs as well. Internet connection: Our innovation is provided via the internet. No connection means no access to live data and dashboards. Data governance: Standard, our innovation is hosted from the EU, GDPR compliant, ISO27001 hosting environment. In a follow-up phase the possibility exists to install the solution in other regions or as a hybrid platform (partly cloud/partly on-premise).Organizational acceptance: Even though our solution is designed to be of value even at organizations with a low level or even lack of flood risk management there always needs to be a person within the organization responsible.
Our innovation provides the technical basis for data-driven flood risk management in the 21st Century. The platform provides the technical infrastructure and functionalities for building, performing and managing flood risk analyses in the cloud.
21st Century proof means here (1) that data is stored and accessible to be used following the FAIR (Findable, Accessible, Interoperable and Reusable) data principles (see go-fair.org), (2) that analyses can be automated and - seamlessly - transformed into information services. And (3) it means that the platform is open. Open in the sense that external data, models, tools and scripts can be utilized to enhance flood risk analyses and information services. Through its open API, the platform is engineered to leverage the advancements in artificial intelligence and hydrodynamic computing for flood risk management.
For this project we are going to use the platform to explore three different modelling approaches:
1. Utilising the InfoWorks ICM model of Brixham (currently in development) to expedite the development of a 3Di hydro-dynamic model. 3Di enables real time model “What If?” scenarios which would be the first step in realizing a “live” analysis model within the Brixham catchment supporting spatial planning, response and recovery operations, community engagement and Property Flood Resilience and flood barrier deployment.
2. Running a data-driven AI model (based on available historic data) of flood risk to the catchment
3. Integrate a catalogue-based surface water forecasting model (Flood Foresight)We will assess the benefits and limitations of each of the three modelling approaches to provide flood warnings which could, in the future, be used to support a flood early warning and resource allocation during such an event. The platform is engineered to serve as backbone for operational services and dashboards (e.g. in flood early warning services), to perform, use and manage traceable flood risk computations (e.g. for the development of flood risk maps and what-if analyses to select measures for flood mitigation) and to store, publish and process flood risk information (e.g. for flood risk communication tools and websites).
The business plan for this innovation has been evaluated by The Funding Company and it is considered to be ready for investment.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
– Flood focused Digital Solutions: combining existing data and machine learning into one platform for determination of flood risk and asset warnings, along with strategic resource allocation of mitigation measures during floods.
– Flood focused Infrastructure and people solutions: the data-driven Flood Risk Management Platform could be used to support with strategic installation of mobile flood barriers for the coastline and high-risk roads, and enhance communication for coordinated responses.
Our innovation was developed partly independently, partly via EU funded R&D projects.
Not a member yet?
No worries, you can register here.
Name field No Space Allowed.
Already a member? login here
Not a member yet?
No worries, you can register here.
You know what they say, sharing is caring! You can share this innovation with as many people you feel will be interested in it.
Tip: include a message about why it caught your eye.
Did something peak your interest? You can share any questions, praises, comments, or concerns and the company will recieve them directly. No need for middle-men here.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
