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Low-cost urban heat environment sensing device with Android platform for digital twin
Yonghun Cho1, Sanghyun Kim2, Jeongseop Lee2
1School of Computer Science and Engineering, Pusan National University, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Republic of Korea.
Hardwarex
|November 11, 2024
Summary
This study introduces a low-cost system for citizens to monitor urban heat and environmental data using portable devices. This approach enhances data collection for urban digital twins and improves resident well-being.
Area of Science:
- Environmental Science
- Urban Planning
- Geospatial Technology
Background:
- Effective monitoring of heat and meteorological variables is crucial for urban resident well-being.
- Current methods struggle to capture spatial heat variations in complex urban settings.
- Existing urban heat monitoring techniques are insufficient for creating comprehensive digital twins.
Purpose of the Study:
- To develop an accessible, low-cost monitoring system for urban heat data collection.
- To enable citizen participation in scientific data acquisition for urban environments.
- To support the development of urban digital twins with real-time environmental information.
Main Methods:
- Integration of a low-cost sensor system into portable devices (kickboards, electric bikes).
- Collection of diverse data including air temperature, surface temperature, humidity, pressure, light intensity, and geophysical features.
- Utilizing citizen-science initiatives for widespread data acquisition.
Main Results:
- A functional, low-cost monitoring system adaptable to various portable devices.
- Demonstrated capability for citizens to collect detailed urban heat and micro-geophysical data.
- Facilitation of data exchange and acquisition for urban digital twin applications.
Conclusions:
- The developed system offers a scalable and cost-effective solution for urban heat monitoring.
- Citizen engagement through portable devices significantly enhances urban environmental data collection.
- This approach contributes to more accurate urban digital twins and informed urban planning.
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