Deliverables

  • 1.1 Technical report with the analysis of requirements for the design of smart sensors (6th M)
  • 1.2 Technical report describing the operation of the application (6th M)
  • 2.1 Technical Guide for the Development of Sensors for environmental parameters measurement – 1st Edition (7th M)
  • 2.2 First version (basic) of the web platform (7th M)
  • 2.3 Publication of the first open source version of ELIoT in a public repository (7th M)
  • 2.4 echnical Guide for the Development of Sensors for environmental parameters measurement – 2nd edition (10th M)
  • 2.5 Second version of the web platform (12th M)
  • 2.6 Publication of the 2nd Open Source Release of ELIoT to a Public Repository (12th M)
  • 2.7 Technical guide for final version of sensors for measuring environmental parameters (26th M)
  • 2.8 Final version of the web platfomr (26th M)
  • 2.9 Publication of the final version of ELIoT open source in a public repository – (26th M)
  • 3.1 Network of environmental monitoring stations in 3 pilot areas (9th M)
  • 3.2 Technical report with the improvements and results of ELIoT test run (19th M)
  • 3.3 Optimized ELIoT version (19th M)
  • 4.1 Network of an optimized water monitoring and management system in an additional pilot area (19th month)
  • 4.2 Technical report on the assessment and certification of the system’s good functioning (25th month)
  • 4.3 ELIoT User Guide (24th month)
  • 5.1 Two dissemination events (18th and 24th M
  • 5.2 Two User Training Seminars (24th and 28th M)
  • 5.3 Participation in 4 national and / or international workshops / conferences (28th M)
  • 5.4 Participation in 2 IoT conferences (12th and 24th S)
  • 5.5 Business plan for the promotion of ELIoT in the market (28th T)
Open ELIoT is a collaborative project of the firms EXM and Argyropoulos and Co. With the research organization HCMR

In order to provide a high level solution for the monitoring and analysis of environmental parameters related to surface water, using open and modern technologies and materials.

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This research has been co‐financed by the European Union and Greek national funds

through the Operational Program
Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code:Τ1EDK-01613)

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