Different types of environmental pollution cause negative consequences to ecosystems throughout the globe, which humanity is now trying to mitigate. To do this it is necessary to know the level of pollution problems in the immediate environment, to evaluate the impact of human activities, and to ensure habitability. For this reason, in this work, a low-cost pollution measurement station for outdoor or indoor use is proposed and developed that measures air pollution (particulate matter and CO2), noise (level and direction), light pollution (power and multispectral), and also relative humidity and ambient temperature. The system stores the data in an SD memory or transmits them in real-time to the internet via WiFi. The purpose of the system is to be used in environmental studies, to deploy monitoring networks, or to ensure the habitability of a living or working space. The prototype integrates the measurement of the different sources of contamination in a single compact device at USD$ 628.12 without sacrificing measurement accuracy, as corroborated by the validation performed for each variable with reference equipment, obtaining an average error of approximately 2.67% in the measurement of all the variables measured. The system is easy to assemble and has an option for power supply using solar photovoltaic devices and an alternative for connection to 2G/3G mobile networks.
- Subject areas: Engineering, Instrumentation, Internet of things
- Hardware type: Measuring physical properties and in-lab sensors, Field measurements and sensors, Electrical engineering and computer science
- Open source license: Creative Commons Attribution-ShareAlike license
- Cost of hardware: USD 628.12
- Source file repository https://doi.org/10.17605/OSF.IO/VMPFS
Keywords[edit | edit source]
Air pollution, Arduino, Light pollution, Measuring station, Noise pollution, TinyML, Internet of Things (IoT), Meteorology, Climatic variables, environmental variables, low cost, 3-D printing, open hardware, environmental monitoring, sensing, environmental sensing, additive manufacturing
See also[edit | edit source]
- Design of a low-cost mobile multispectral albedometer with geopositioning and absolute orientation
- Design and Implementation of 3-D Printed Radiation Shields for Environmental Sensors
- Low cost climate station for smart agriculture applications with photovoltaic energy and wireless communication
- Installation of a variable-angle spectrometer system for monitoring diffuse and global solar radiation