Autonomous Low-Cost DIY Dust Sensor Prototype: Development and Operations

The problem of air pollution in large cities is one of the familiar to the ordinary inhabitant of a large metropolis; air quality analysis has spurred the development of civil and volunteer monitoring and citizen sciences. When expensive professional equipment is not available, such projects use low-cost DIY sensors for monitoring, which are easy to purchase, assemble, and use. However, such devices currently have several functional limitations. Urban green infrastructure performs important ecosystem services, including improving air quality by absorbing PM2.5 and PM10 dust particles. However, monitoring these indicators at these locations and assessing their system services using civil monitoring devices is difficult due to the lack of power and Wi-Fi networks at such locations. The team of authors developed an autonomous PM2.5 and PM10 dust particle sensor that can be used for monitoring urban air quality. The paper discusses the concept and design of the sensor, creating an actual prototype of this device based on the design solutions. The paper also outlines the concept of an in-field verification experiment and presents the results of sensor accuracy evaluation with reference devices. © 2025 Elsevier B.V., All rights reserved.

Авторы
Baikin Pavel 1 , Belozertsev Nikita 1 , Skvortsov Alexander 1 , Kadyrbaeva Anastasia 1 , Seregin Ivan 2, 3 , Yaroslavtsev Alexis M. 2, 3 , Matasov Victor M. 3, 4 , Vikulov Alexander 1
Сборник статей
Издательство
Springer Science and Business Media Deutschland GmbH
Язык
Английский
Страницы
155-168
Статус
Опубликовано
Том
Part F963
Год
2025
Организации
  • 1 Bauman Moscow State Technical University, Moscow, Russian Federation
  • 2 Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation
  • 3 RUDN University, Moscow, Russian Federation
  • 4 HSE University, Moscow, Russian Federation
Ключевые слова
Agricultural sensor; Autonomous sensor; DIY sensor; Dust sensor; Green infrastructure monitoring; IoT monitoring; Low-cost sensor; PM10 measurement; PM2.5 measurement; Urban infrastructure monitoring
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