Abstract
The problem of loss of line of sight when operating drones has become a reality with adverse effects for professional and amateur drone operators, since it brings technical problems such as loss of data collected by the device in one or more instants of time during the flight and even misunderstandings of legal nature when the drone flies over prohibited or private places. This paper describes the implementation of a drone monitoring system using the Internet as a long-range communication network in order to avoid the problem of loss of communication between the ground station and the device. For this, a simulated environment is used through an appropriate open software tool. The operation of the system is based on a client that makes requests to a server, the latter in turn communicates with several servers, each of which has a drone connected to it. In the proposed system when a drone is ready to start a flight, its server informs the main server of the system, which in turn gives feedback to the client informing it that the device is ready to carry out the flight; this way customers can send a mission to the device and keep track of its progress in real time on the screen of their web application.
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References
Neji, N., Mostfa, T.: Communication technology for Unmanned Aerial Vehicles: a qualitative assessment and application to Precision Agriculture. In: The 2019 International Conference on Unmanned Aircraft Systems (2019)
Saverio, J., Alarcón, A., Paillacho, J., Calderón, F., Realpe, M.: Open source system for identification of maize leaf chlorophyll contents based on multispectral images. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds.) ICAT 2019. CCIS, vol. 1194, pp. 572–581. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-42520-3_45
Al-Thani, N., Albuainain, A., Alnaimi, F., Zorba, N.: Drones for sheep livestock monitoring. In: 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON), Palermo, Italy, pp. 672–676 (2020). https://doi.org/10.1109/MELECON48756.2020.9140588
Cameron, D., et al.: The feasibility of using remotely piloted aircraft systems (RPAS) for recreational fishing surveys in Western Australia. Fisheries Occasional Publ. 137 (2019)
Guang, Y., et al.: A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5G (2018)
Mission Planner Homepage. https://ardupilot.org/planner, Accessed 9 Oct 2020
SITL Simulator Homepage. https://ardupilot.org/dev/docs/sitl-simulator-software-in-the-loop.html#overview, Aaccessed 9 Oct 2020
BOE, Real Decreto 1036/2017. https://www.seguridadaerea.gob.es/media/4629426/rd_1036_17_rpas.pdf, Accessed 02 Oct 2020, Accessed 9 Oct 2020
Federal Aviation Administration, Fly under the small UAS Rule. https://www.faa.gov/uas/getting_started, Accessed 9 Oct 2020
ARC Recommendations Final Report. UAS identification and tracking (UAS ID) Aviation Rulemaking Committee (ARC) (2017)
Kato, N., et al.: Location awareness system for drones flying beyond visual line of sight exploiting the 400 MHz frequency band. IEEE Wirel. Commun. 26, 149–155 (2019)
Fotouhi, A., Ding, M., Hassan, M.: Flying drone base stations for macro hotspots. IEEE Access 6, 19530–19539 (2018)
Jiang, T., Geller, J., Ni, D., Collura, J.: Unmanned aircraft system traffic management: concept of operation and system architecture. Int. J. Transp. Sci. Technol. 5(3), 123–135 (2016). https://doi.org/10.1016/j.ijtst.2017.01.004
Davies, L., Bolam, R.C., Vagapov, Y., Anuchin, A.: review of unmanned aircraft system technologies to enable beyond visual line of sight (BVLOS) operations. In: 2018 X International Conference on Electrical Power Drive Systems (ICEPDS), Novocherkassk (2018)
Angular Documentation. https://angular.io/docs, Accessed 9 Oct 2020
Angular Material. https://material.angular.io/, Accessed 9 Oct 2020
Leaflet Documentation. https://leafletjs.com/reference-1.6.0.html, Accessed 9 Oct 2020
Flask Documentation. https://flask.palletsprojects.com/en/1.1.x/, Accessed 9 Oct 2020
Advantages of MongoDB. https://www.educba.com/advantages-of-mongodb/, Accessed 9 Oct 2020
“Sistema de monitoreo de drones”, repository at Github. https://github.com/Jealvia/Sistema-de-monitoreo-de-drones.git, Accessed 9 Oct 2020
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Murillo, M.A., Alvia, J.E., Realpe, M. (2021). Beyond Visual and Radio Line of Sight UAVs Monitoring System Through Open Software in a Simulated Environment. In: Botto-Tobar, M., Montes León, S., Camacho, O., Chávez, D., Torres-Carrión, P., Zambrano Vizuete, M. (eds) Applied Technologies. ICAT 2020. Communications in Computer and Information Science, vol 1388. Springer, Cham. https://doi.org/10.1007/978-3-030-71503-8_49
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DOI: https://doi.org/10.1007/978-3-030-71503-8_49
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