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TEAM 4: IoT Technologies for Africa

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at the Nairobi INSPIRE Hackathon 2019

Publié dans : Données & analyses
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TEAM 4: IoT Technologies for Africa

  1. 1. Team 4 IoT Technologies for Africa Karel Charvat, Michal Kepka Club of Ossiach, University of West Bohemia Czech Republic 10. 5. 2019
  2. 2. Overview • Team overview • Challenges – defined • Tasks – defined • Tasks – done
  3. 3. Team overview • Registrants: 51 • Countries: 23 • Types of expertize: • Agriculture • GIS • IT • Research • Fishery, Forestry, Health, Environmental • Data analytics expert 0 2 4 6 8 10 12 1 2 3 4 5 6 7 8 9 NUMBER OF SELECTED PROJECTS 0 2 4 6 8 10 12 14 16 18 Kenya Nigeria Ghana Uganda CZ Other 18 COUNTRIES OF REGISTRANTS
  4. 4. Challenges • Catalogue of available IoT data in and for particular region • Overview of formats and services used in particular region • Integration of data from different sources • Data analysis / data mining on integrated data sets • Interpretation of analyses results based on local knowledge
  5. 5. Tasks – defined • T1 – testing deployment of new version of SensLog • T2 – design of VGI module for SensLog v2 • T3 – research on available data and services • T4 – reseach on commonly used formats and services
  6. 6. Tasks – done • T1 – testing deployment of new version of SensLog • SensLog-processing and SensLog-provider deployed on server • SensLog-model implemented in PostgreSQL v 10 • API described using Swagger utility • T2 – design of VGI module for SensLog v2 • redesign module from SensLog v1 • new approach – Entity oriented design • as extension module for core data model
  7. 7. SensLog 2.0 • Web-based data management application for storing, managing and publishing sensor data • higher scalability – designed as set of micro services • used Docker for deployment • proprietary API – REST, JSON data encoding
  8. 8. SensLog 2.0 – structure overview
  9. 9. SensLog 2 – VGI module • Storing VGI observations from web and mobile applications • Attributes of VGI observations not only simple datatypes but multimedia files too • Additional attributes stored as JSON data type -> available for queries
  10. 10. Thank you for attention Karel Charvát charvat@ccss.cz Michal Kepka mkepka@kgm.zcu.cz

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