Novel Low-Cost Salinity Sensor for Embedded Environmental Monitoring

被引：7
|
作者：
Russ, Samuel H. [1 ]
Perepa, Viswakalyan [1 ]
Leavesly, Silas [1 ]
Webb, Bret [1 ]
机构：
[1] Univ S Alabama, Coll Engn, Mobile, AL 36688 USA
来源：
IEEE SOUTHEASTCON 2010: ENERGIZING OUR FUTURE | 2010年
关键词：
D O I：
10.1109/SECON.2010.5453920
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Demand for embedded environmental sensors is increasing. One of the key sensor capabilities is the ability to measure salinity. In addition to understanding the environment, a salinity measurement is needed to estimate water density and to convert pressure to estimates of water depth. This outlines a low-cost sensor that combines an H-bridge and digital potentiometer to make an AC resistance measurement suitable for measuring salinity.
引用
收藏
页码：53 / 56
页数：4
相关论文
共 50 条
  • [41] Assessing Effects of Salinity on the Performance of a Low-Cost Wireless Soil Water Sensor
    Peddinti, Srinivasa Rao
    Hopmans, Jan W.
    Abou Najm, Majdi
    Kisekka, Isaya
    SENSORS, 2020, 20 (24) : 1 - 14
  • [42] Low-cost, multimodal environmental monitoring based on the Internet of Things
    Coulby, Graham
    Clear, Adrian K.
    Jones, Oliver
    Godfrey, Alan
    BUILDING AND ENVIRONMENT, 2021, 203
  • [43] A Low-Cost and Energy Autonomous IoT Framework for Environmental Monitoring
    Galafagas, Vasileios
    Gioulekas, Fotios
    Maroulidis, Panagiotis
    Petrellis, Nikolaos
    Katsaros, Panagiotis
    PROCEEDINGS OF SEVENTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2022, VOL. 2, 2023, 448 : 479 - 489
  • [44] A Mobile and Low-Cost System for Environmental Monitoring: A Case Study
    Velasco, Alejandro
    Ferrero, Renato
    Gandino, Filippo
    Montrucchio, Bartolomeo
    Rebaudengo, Maurizio
    SENSORS, 2016, 16 (05)
  • [45] Implementing IoT for Development of a Low-Cost Environmental Monitoring System
    Nascimento, Michel H. S.
    Moreira, Anderson L. S.
    Domingues, Marco A. O.
    Castro, Arthur L.
    Moura, Denis L.
    PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2017, : 1360 - 1364
  • [46] A Low-cost Sensor Based on Time-Domain Reflectometry for Water Level Monitoring in Environmental Applications
    Loizou, Konstantinos
    Koutroulis, Eftichios
    Zalikas, Dimitrios
    Liontas, Georgios
    2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015), 2015, : 261 - 266
  • [47] Development and evaluation of an open-source, low-cost distributed sensor network for environmental monitoring applications
    Gunawardena, N.
    Pardyjak, E. R.
    Stoll, R.
    Khadka, A.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (02)
  • [48] A Novel Low-Cost Smart Current Sensor for Utility Conductors
    Moghe, Rohit
    Lambert, Frank
    Divan, Deepak
    IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (02) : 653 - 663
  • [49] Novel Low-Cost Sensor for Human Bite Force Measurement
    Fastier-Wooller, Jarred
    Hoang-Phuong Phan
    Dinh, Toan
    Tuan-Khoa Nguyen
    Cameron, Andrew
    Ochsner, Andreas
    Dao, Dzung Viet
    SENSORS, 2016, 16 (08)
  • [50] Rethinking Quality Metrics for Low-Cost Urban Environmental Sensor Networks
    Cabral, Alex
    2024 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS, PERCOM WORKSHOPS, 2024, : 360 - 361
12345