Development of flood monitoring and early warning platform

Floods around the world cause widespread destruction of property, physical injuries and deaths. Effective flood monitoring and early warning strategies can significantly reduce the impact of natural hazards. The monitoring and control procedures of traditional maintenance teams, who detect, through visits and visual inspection, anomalies and failures, could result in critical conditions. Therefore, the development of integrated data and events monitoring platform, supporting the early warning and decision-making process is necessary.
The scope of the project is the development of an advanced flood monitoring and early warning platform, which will provide an environment for the integration of monitoring and control system functionality, real-time/near-real time data and events collected from monitoring stations deployed at strategic locations, visual information, control algorithms, and advanced analytical services. The monitoring stations will be based on intelligent low-power sensors and transmitters and remote telemetry units (RTUs). An advanced solutions will be developed implementing battery-powered RTUs and cameras for visual monitoring, providing operational functionality for locations without power supply from the grid. The data acquisition, processing and visualization functionality will be based on SCADA and IoT telemetry platform, providing geospatial HMI (human-machine interface) operational status, real-time and historical data table and graphical presentation, analysis and alarm management. Data will be communicated to the telemetry platform through various communication technology standards (GPRS, 3G, 4G, NB-IoT, LTE-M, SBD satellite, etc.) and events-driven telemetry protocols. The analytical functionality will provide possibility for smart events and alarms generation based on raw and forecasted data, triggering the relevant warnings.
Expected results:
• Development and implementation of advanced telemetry functionality. Data collection and communication will be based on a range of smart low-power sensors, transmitters and RTUs, providing monitoring and control applications in remote and challenging environments.
• Integration of telemetry data and visual monitoring.
• Development and implementation of data acquisition, processing and visualization functionality, based on SCADA and IoT telemetry platform.
• Development and implementation of artificial intelligence functionality, providing possibility for smart events and alarms generation based on parameters prediction, triggering various warnings events - HMI, SMS, E-mail and the relevant early Alerts and Warnings.
• Alert information dissemination
Target groups:
• First-level executive bodies of the government that manage specific sectors of public administration.
• Municipalities and local authorities.
• Universities and scientific organizations.
• Population in zones with identified alarm status.
Expected impacts:
• Capability to provide advanced monitoring and control of key assets.
• Decision-making support based on artificial intelligence functionality, implementing self-learning algorithms for parameters prediction.
• Support of national and local authorities for water infrastructure management.
• Early Warning and Alert Management capability to predict potential incidents and provide enough lead time for proper risk management and mitigation.
• Reduced time for reaction to critical events.