Multi-Sensor System for Remote Environmental (Air and Water) Quality Monitoring

被引:0
|
作者
Simic, Mitar [1 ]
Stojanovic, Goran M. [2 ]
Manjakkal, Libu [3 ,4 ,5 ]
Zaraska, Krzystof [3 ]
机构
[1] Univ Banja Luka, Fac Elect Engn, Patre 5, Banja Luka, Bosnia & Herceg
[2] Univ Novi Sad, Fac Tech Sci, Novi Sad, Serbia
[3] Inst Elect Technol, Zablocie 39, Krakow, Poland
[4] Univ Glasgow, Sch Elect Engn, Glasgow G12 8QQ, Lanark, Scotland
[5] Univ Glasgow, Nanoscale Engn Res Div, Glasgow G12 8QQ, Lanark, Scotland
关键词
AD5933; temperature and relative humidity measurement; volatile organic compounds; TiO2 thick films; pH measurement; DESIGN;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper realization of the low-power, portable, low-cost multi-sensor system for air and water quality monitoring is described. Developed system is batterypowered with solar panel-based charger unit, and it is intended for use in remote environmental monitoring by collecting information about air temperature (T) and relative humidity (RH), presence of volatile organic compounds (VOC) as well as water temperature and pH level. The hardware of the system is based on the ATmega128 microcontroller which acquires the sensors data and coordinates the work of all peripherals. To establish full standalone operation, peripherals such a TFT color LCD display, embedded keypad and SD card for data storage are included. Air quality parameters are collected with SHT11 (T and RH) and MQ-135 (VOC) sensors, while water temperature is monitored with encapsulated LM35 sensor. For pH level monitoring, TiO2-based thick film pH resistive sensor was fabricated and characterized. The pH sensor readout electronics, based on the integrated circuit AD5933, is designed in such way to ensure reliable in-situ measurements. Discussion of the applications of the proposed system in the more complex, a cloud-based, system for air and water quality monitoring in real-time, with the IBM Watson IoT platform is given as well.
引用
收藏
页码:15 / 18
页数:4
相关论文
共 50 条
  • [1] Smart Multi-Sensor System for Remote Air Quality Monitoring Using Unmanned Aerial Vehicle and LoRaWAN
    Camarillo-Escobedo, Rosa
    Flores, Jorge L.
    Marin-Montoya, Pedro
    Garcia-Torales, Guillermo
    Camarillo-Escobedo, Juana M.
    [J]. SENSORS, 2022, 22 (05)
  • [2] An Integrated Wireless Multi-Sensor System for Monitoring the Water Quality of Aquaculture
    Lin, Jen-Yung
    Tsai, Huan-Liang
    Lyu, Wei-Hong
    [J]. SENSORS, 2021, 21 (24)
  • [3] Multi-Sensor Platform for Predictive Air Quality Monitoring
    Rescio, Gabriele
    Manni, Andrea
    Caroppo, Andrea
    Carluccio, Anna Maria
    Siciliano, Pietro
    Leone, Alessandro
    [J]. SENSORS, 2023, 23 (11)
  • [4] An Integrated Multi-Sensor System for Remote Bee Health Monitoring
    Bellino, Francesco
    Turvani, Giovanna
    Garlando, Umberto
    Riente, Fabrizio
    [J]. 2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR), 2022, : 334 - 338
  • [5] Multi-Sensor Device for Traceable Monitoring of Indoor Environmental Quality
    Fissore, Virginia Isabella
    Arcamone, Giuseppina
    Astolfi, Arianna
    Barbaro, Alberto
    Carullo, Alessio
    Chiavassa, Pietro
    Clerico, Marina
    Fantucci, Stefano
    Fiori, Franco
    Gallione, Davide
    Giusto, Edoardo
    Lorenzati, Alice
    Mastromatteo, Nicole
    Montrucchio, Bartolomeo
    Pellegrino, Anna
    Piccablotto, Gabriele
    Puglisi, Giuseppina Emma
    Ramirez-Espinosa, Gustavo
    Raviola, Erica
    Servetti, Antonio
    Shtrepi, Louena
    [J]. SENSORS, 2024, 24 (09)
  • [6] Multi-Sensor System for Monitoring of River Water Pollution
    Evizal, Abdul Kadir
    Irie, Hitoshi
    Rosa, Sri Listia
    Othman, Mahmod
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2020, 96 (04): : 62 - 66
  • [7] Multi-sensor Remote Sensing Technologies in Water System Management
    Shu Shihu
    [J]. 2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT A, 2011, 10 : 152 - 157
  • [8] Intelligent water quality monitoring system based on multi-sensor data fusion technology
    Liu, Qiuxia
    [J]. International Journal of Ambient Computing and Intelligence, 2021, 12 (04) : 43 - 63
  • [9] Air quality monitoring of landscape architecture based on multi-sensor fusion
    Huang, Xiang
    Li, Liangjie
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL TECHNOLOGY AND MANAGEMENT, 2023, 26 (3-5) : 201 - 212
  • [10] Gaussian Processes for Multi-Sensor Environmental Monitoring
    Erickson, Philip
    Cline, Michael
    Tirpankar, Nishith
    Henderson, Tom
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2015, : 208 - 213