Lion Technologies Ltd. plans to develop its own innovative product with partnership of the National Institute of Geophysics, Geodesy and Geography of the Bulgarian Academy of Sciences. An innovative product is set of services for providing early warning about potential earthquake and meteorological disasters. The system uses data from geophysics measurement networks, which is analyzed through a software platform, and provided to users. The system can be describe as a smart reporting system that delivers analyzed dynamic data that is tailored to the location of users and their needs. The ability to forecast within a few hours, dangerous storms, ice and early warning of other disasters as well as information to be provided relevant and dynamic to different users (state organizations or ordinary people) will help to avoid or at least reduce the impact of various disasters. The Early Disaster Response System combines the latest scientific developments with the most advanced information dissemination technologies, the goal is for system users to get the most accurate and timely information on possible disasters as well as to receive continuous information on the potential disaster. The software system analyzes and checks the received data from various sources (including the NIGGG measurement networks of the Bulgarian Academy of Sciences and international institutions) within a few seconds and sends the results to its users. Thus, within a few seconds, users will be informed of events that may endanger people's health and lives, such as an earthquake over four on the Richter scale, or a sharp drop or elevation of temperatures, etc. The dissemination of potentially dangerous data to many consumers, and especially if the information reaches the most threatened ones in time, will enable an adequate security solution to be taken.
Overview
Status | Closed (completion date) |
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Start date | 19 Oct, 2018 |
End date | 19 Feb, 2021 |
Contract date | 19 Oct, 2018 |
Programme
Beneficiary
Financial information
Total cost | 472,363.12 |
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Grant | 357,134.37 |
Self finance | 115,228.75 |
Total paid | 227,068.62 |
EU participation percent | 85.0% |
Location