DAWSSM: A plug-and-play Drone Assisted Water Sampling and Sensing Module

被引:4
|
作者
Singh, Digvijay [1 ]
Singh, Rishabh [1 ]
Ajmeria, Rahul [1 ]
Gupta, Manik [2 ]
Ponnalagu, R. N. [1 ]
机构
[1] Birla Inst Technol & Sci Pilani, Dept EEE, Hyderabad, India
[2] Birla Inst Technol & Sci Pilani, Dept CSIS, Hyderabad, India
关键词
Drone; Unmanned Aerial Vehicle; Water Quality; Sensors; Automation;
D O I
10.1109/IECON48115.2021.9589543
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Increasing water pollution necessitates frequent monitoring of water bodies, which is quite time-consuming and costly when done manually, especially for remote locations. Multi-rotor drones can be used for collecting water samples and transporting them to the laboratory for testing, since they are convenient for carrying small payloads and offer increased accessibility compared to aquatic vehicles. Most of the solutions proposed so far have focused on designing a specialized drone for this purpose, which makes the solution extremely difficult to replicate and use. In this paper, we abstract the sampling and water quality testing functionalities to a specialized module which can be attached to any drone. The attachment has its own power supply and does not consume power from the carrier drone. The practicality of the proposed approach is validated by performing a flight mission, including sample collection and water quality analysis using on board sensors. Temperature, pH and electrical conductivity values sensed from the water samples collected using DAWSSM and by manual collection are compared and found to have no difference. This demonstrates the efficacy of DAWSSM as a substitute for the conventional process.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Plug-and-Play Model Predictive Control for Water Supply Networks with Storage
    Kallesoe, Carsten Skovmose
    Jensen, Tom Norgaard
    Bendtsen, Jan Dimon
    IFAC PAPERSONLINE, 2017, 50 (01): : 6582 - 6587
  • [32] Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging
    Tian, Ye
    Fu, Ying
    Zhang, Jun
    SCIENCE CHINA-INFORMATION SCIENCES, 2022, 65 (10)
  • [33] Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging
    Ye Tian
    Ying Fu
    Jun Zhang
    Science China Information Sciences, 2022, 65
  • [34] Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging
    Ye TIAN
    Ying FU
    Jun ZHANG
    ScienceChina(InformationSciences), 2022, 65 (10) : 307 - 308
  • [35] Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation
    Jiang, Zhishan
    Yan, Ke
    Lu, Le
    Xu, Minfeng
    Proceedings - International Symposium on Biomedical Imaging, 2023, 2023-April
  • [36] Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation
    Murugesan, Balamurali
    Sarveswaran, Kaushik
    Shankaranarayana, Sharath M.
    Ram, Keerthi
    Joseph, Jayaraj
    Sivaprakasam, Mohanasankar
    MACHINE LEARNING IN MEDICAL IMAGING (MLMI 2019), 2019, 11861 : 292 - 300
  • [37] DIV-ATTENTION: A PLUG-AND-PLAY MODULE FOR 3D MEDICAL IMAGE SEGMENTATION
    Jiang, Zhishan
    Yan, Ke
    Lu, Le
    Xu, Minfeng
    2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI, 2023,
  • [38] A Novel Control Method for the Active Power Decoupling Module with Plug-and-Play in Single Phase Inverter
    Nie, Li
    Zhu, Guorong
    Luo, Bingyang
    Qi, Erjie
    Zeng, Dingjun
    Huang, Shili
    2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC), 2018, : 1120 - 1125
  • [39] Low-Cost Plug-and-Play Optical Sensing Technology for USVs' Collision Avoidance
    Sorbara, Andrea
    Bibuli, Marco
    Zereik, Enrica
    Bruzzone, Gabriele
    Caccia, Massimo
    COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2015, 2015, 9520 : 833 - 840
  • [40] SUPER-RESOLUTION OF REMOTE SENSING IMAGES BASED ON A DEEP PLUG-AND-PLAY FRAMEWORK
    Tao, Hongyuan
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 625 - 628