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    • Master’s Education in Computer Science
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        • Contact form
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      • Admission to Master’s program
      • What’s next after graduation?
    • Master’s Education in Computer Science
      • Applying to a Master's Program
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      • Study arrangements
        • Open LMS
        • CinetCampus
      • Application areas of sensor networks
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    • Active projects
      • Autonomous work machines (AUWO)
      • Data-driven efficiency, productivity and competitiveness
      • Tailoring the Master’s Programme in IT for the Central Ostrobothnia Region
      • DustSense – Smart Dust Monitoring in Industrial Areas
      • HATTU - From Project to Product
      • Developing the ICT Sector in Central Ostrobothnia
      • IoT learning environment
      • Quality for distance learning
      • TAKOMO Smart Environmental Monitoring in Industrial Areas
      • Industrial Big Data
      • TIRA - Efficient Facility Management through Robotics and Sensor Technology
      • Smart and sustainable living
    • Completed projects
      • YMPYRÄ
      • DiVes
      • WinIT
      • HANKO
      • SCIP
      • RUOSTE
      • ICT recruitment survey
      • TEHO
      • LoRE
      • HAVINA
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16.09.2024

Weather conditions measurements

Hankkeet
TAKOMO Smart Environmental Monitoring in Industrial Areas
Tagit
IoT technology Environment Urban Industry
Euroopan unionin osarahoittama 2023 Keski-Pohjanmaan liitto Kokkolan kaupunki

Weather conditions will be measured at various locations throughout the KIP area. Measuring weather conditions is important for reasons such as the transport and modeling of potential emissions.

Caseen liittyviä uutisia

20.03.2025

TAKOMO Smart Environmental Monitoring in Industrial Areas

It's raining, it's pouring...

Rain gauges have been installed at the southern and northern ends of the Kokkola Industrial Park. Rain gauges identify the type of precipitation and measure its intensity and total amount.
Read more

Lisätiedot

Timo Hongell, project manager
Mira Hästbacka, project coordinator
Euroopan unionin osarahoittama 2023 Keski-Pohjanmaan liitto Kokkolan kaupunki

More cases

  • Utilizing Generative AI in data-driven solutions
  • Snow depth measurement
  • IoT sensor devices to minimize the harm of ice dams
  • IoT sensor devices in data-driven process optimization
  • Pölyn monitorointi
  • Pölyämiseen liittyvät selvitykset
  • Toimintamalli PoC-jälkeisten osa-alueiden kartoitukseen
  • Reports related to digital real-time environmental measurements
  • Continuous noise measurements
  • Air quality measurements
  • Weather conditions measurements
  • Groundwater measurements
  • Utilization of data accumulated through virtual learning
  • Supporting self-directed learning in education
  • Proof-of-Conceptin jälkeisten osa-alueiden kartoitus
  • LoRaWAN base stations
  • Exploring and Demonstrating the Capabilities of Private IoT LoRaWAN Networks
  • Species detection using advanced intelligent measurement and monitoring solutions
  • IoT learning environment for the electrical and automation industry
  • Teollisuusprosessin optimointi
  • IoT learning environment for the food industry
  • IoT learning environment in the field of mechanical and production engineering
  • Collection and utilisation of sensor data in office premises and real estate
  • Monitoring Ullava Lake environmental conditions
  • Remote laboratory work
  • Interactivity of video lectures
All cases

Kokkola University Consortium Chydenius
Information Technology