LoRa environmental data measurments at the Westcoast of Ireland

Whats the project about

Measuring environmental data remotely in an energy-efficient manner, with connectivity to the internet, is often crucial for the success of an Internet of Things (IoT) project. LoRa provides an excellent solution for this purpose. Currently, real-time environmental data is limited in Sligo and the surrounding areas. This project aims to improve the understanding of environmental processes by collecting valuable data and making it accessible through web service platforms.

The project will use an existing commercial LoRa hardware platform (such as ST, Raspberry Pi, Arduino, etc.) combined with a defined set of sensors to measure environmental parameters. These parameters may include wind speed and direction, temperature, humidity, illuminance, and rainfall. The collected data will be integrated into an environmental and meteorological data network via LoRa technology. These (primarily open) web service networks will enable better monitoring and understanding of environmental processes in Sligo.

Study areas

If you are passionate about understanding and addressing environmental challenges and are interested in contributing to innovative solutions, then this may be the project for you. While participants may have different areas of expertise, we aim to form a team that collectively brings together the following skills. A dream team will include all these elements:

• Programming and technology: Participants with basic programming knowledge on embedded platforms (e.g., Python or C) and, ideally, familiarity with LoRa sensors and networks.
•   Environmental and climate sciences: Individuals with an understanding of environmental, climate, and meteorological processes and a research-oriented mindset to analyze and interpret data.
• Server and Web technologies: Participants with skills in linux and basic web programming and web services configuration to enable effective data sharing and visualization.

Participants may excel in one or more of these areas. Alternatively, they might come from a related field and possess transferable skills, such as experience with technology-driven research or environmental data collection.

Contact

Martin Vogel, Lucerne University of Applied Sciences and Arts