GTR 112914159
Tenders Are Invited For Software Development Services - Planning, Construction And Operation Of A Modular Real-Time Early Warning System With Sensor Network, Data Platform And Data Forecast Model For Flood, Heavy Rain And Drought Events In The Area Of The Arge Solidarischer Flood Protection E.V.
ICB — International Competitive Bid
Closed
Western Europe
Tender Information
GTR Reference
112914159
Tendering Authority
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Tender No
319966-2026
Financer Name
Self-Funded
Work Title
Tenders Are Invited For Software Development Services - Planning, Construction And Operation Of A Modular Real-Time Early Warning System With Sensor Network, Data Platform And Data Forecast Model For Flood, Heavy Rain And Drought Events In The Area Of The Arge Solidarischer Flood Protection E.V.
Bid Type
ICB — International Competitive Bid
Country
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Geographical Region
Western Europe
Political Region
European Union,G20
Last Date of Bid Submission
11-06-2026
Closed
Work Detail
Software Development Services - Planning, Construction And Operation Of A Modular Real-Time Early Warning System With Sensor Network, Data Platform And Data Forecast Model For Flood, Heavy Rain And Drought Events In The Area Of The Arge Solidarischer Flood Protection E.V.. The Arge Solidarischer Flood Protection E.V. Intends To Procure A Modular Digital Early Warning System For The Early Detection And Forecasting Of Flood, Heavy Rain And Drought Events In The Arge Area. The System Should Include A Sensor Network In The Field, A Central Data Platform, A Digital Situation And Data Forecast Model And A Multi-Channel Warning And Communication System. Procurement Takes Place In Two Service Phases: 2.1. Service Phase 1 – System Construction And Test Operation Conception And Planning Of The System Architecture Construction Of A Sensor Network Setup Of The Data Platform And Interfaces To Existing Data Sources Test Operation And Validation Of The System Functionality 2.2. Performance Phase 2 - Data Forecast Model-Supported Analysis, Forecast And Expansion Development And Integration Of A Data Forecast Model For Evaluating The Sensor Data Use Of Machine Learning Methods To Improve Forecasts Of Heavy Rain, Runoff And Flood Developments Transition To Permanent Operation As Well As Maintenance And Further Development Of The System. The Aim Of The Project Is To Extend Advance Warning Times, Improve The Basis For Decision-Making For Emergency Services And Sustainably Strengthen The Regions Climate Resilience.
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