Maintenance of the Photovolatic Plants Using UAV Equipped with Low-cost GNSS RTK Receiver

Authors

  • Bilal Muhammad Department of Business Development and Technology, Aarhus University, Denmark
  • Ramjee Prasad Department of Business Development and Technology, Aarhus University, Denmark
  • Marco Nisi2 Sistematica S.p.a, Italy
  • Fabio Menichetti2 Sistematica S.p.a, Italy
  • Ernestina Cianca CTIF Section, Department of Electronics, University of Rome Tor Vergata, Italy
  • Alberto Mennella TopView srl, Italy
  • Graziano Gagliarde TopView srl, Italy
  • Davide Marenchino Entec S.p.a, Italy

DOI:

https://doi.org/10.13052/1550-4646.1412

Keywords:

Photovoltaic, UAV, GNSS, RTK

Abstract

Global Navigation Satellite System (GNSS) Real Time Kinematic (RTK) employs high-end dual-frequency receivers and antennas to deliver precise positioning that, in some way, restricts the use of GNSSRTKto a subset of user market due to very high cost. The emerging mass-market user applications, however, require centimeter-positioning accuracy considering a cost-effective solution. This calls for low-cost GNSS RTK solutions to create new possibilities for mass-market user applications to make use of GNSS high accuracy positioning in a variety of ways. One of the applications, which makes use of low-cost GNSS RTK receiver, is the maintenance of photovoltaic (PV) plants using Unmanned Aerial Vehicle (UAV). This paper proposes a solution that aims at automating the maintenance of PV plant with enhanced reliability in a time and cost effective manner, which otherwise requires intermediate human intervention. The paper presents the architectural concept, system design, and end-to-end algorithm that plays a pivotal role in enabling the automatic report generation of PV plant status. Preliminary results of the proof-of-concept shows the feasibility of the proposed solution.

 

Downloads

Download data is not yet available.

References

Gary, B., and Adrian, K. (2008). Learning OpenCV: Computer vision

with the OpenCV library. O’Reilly Media, Incorporated.

Cai, G., Chen, B. M., and Lee, T. H. (2011). Unmanned Rotorcraft

Systems. Springer Science & Business Media.

Vincenty, T. (1975). Direct and inverse solutions of geodesics on the

ellipsoid with application of nested equations. Survey review, 23, 88–93.

Karney, C. F. (2013). Algorithms for geodesics. J. Geodesy 87, 43–55.

Kraus, K. (1998). Photogrammetry. Ferdinand Dummlers Verlag, vol. 1.

Kraus, K. (1997). Photogrammetry. Ferdinand Dummlers Verlag, vol. 2.

Cramer,M. (2001). Performance of GPS/inertial solutions in photogrammetry.

Hough, P. V. (1962). Method and means for recognizing complex

patterns (No. US 3069654).

Mongrdien, C., Doyen, J.-P., Strom, M. and Ammann, D. (2016).

“Centimeter-Level Positioning for UAVs and Other Mass-Market Applications,”

in Proceedings of the 29th International Technical Meeting

of the Satellite Division of the Institute of Navigation (ION GNSS+),

Portland, Oregon.

Bruyninx, C. (2004). “The euref permanent network: a multi-disciplinary

network serving surveyors as well as scientists,” GeoInformatics

, 32–35.

Weber,G., Dettmering, D., and Gebhard, H. (2005). “Networked transport

of rtcm via internet protocol (ntrip),” in A Window on the Future of

Geodesy. Springer, 60–64.

Takasu, T., Kubo, N., and Yasuda, A. (2007). “Development, Evaluation

and Application of rtklib: a program library for rtk-gps,” in GPS/GNSS

symposium, 213–218.

Downloads

Published

2018-02-27

Issue

Section

Articles

Most read articles by the same author(s)