Abstract
Flooding is a long-lasting environmental challenge in many regions of the world. This problem has unfortunately been worsening. Given the rapid climate change, flooding is expected to aggravate even more in the foreseeable future, which has particularly adverse impacts on critical transportation facilities. It is understood that the climate crisis is destabilising the current transportation infrastructure. However, the latest Internet-of-Vehicle (IoV) communication network can potentially offer reliable solutions. In this paper, we propose an IoV framework for flood monitoring and rescue that can trigger natural disaster warning in real time. In addition to monitor flooding through existing sensors, our solution also offers alarm and on-site rescue information reporting to nearby vehicles through V2X communications and UAV survey system embedded with deep neural network to recognise human gestures in a rescue operation. The proposed UAV integrated IoV architecture includes monitoring, remote transmission, data analysis and processing modules. Specifically, we will use LoRa and DSRC communication technology to realise data transmission among sensors, data platform and vehicles. Considering the high mobility of UAV in wider area, mobile cellular network will be equipped for real-time monitoring and surveillance. A prototype system has been developed and verified by real tests.
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References
Koks, E.E., et al.: A global multi-hazard risk analysis of road and railway infrastructure assets. Nat. Commun. 10(1), 1–11 (2019)
Jayashree, S., Sarika, S., Solai, A.L., Prathibha, S.: A novel approach for early flood warning using android and IoT. In: 2nd International Conference on Computing and Communications Technologies Proceedings, pp. 339–343, IEEE, Chennai, India (2017)
Zahir, S.B., et al.: Smart IoT Flood Monitoring System. In: Journal of Physics: Conference Series 1339(1), 012043 (2019)
Ulil, A.M.R., et al.: The vehicle as a mobile sensor network base IoT and big data for pothole detection caused by flood disaster. In: IOP Conference Series: Earth and Environmental Scienc 239(1), 012034 (2019)
Luo, C., et al.: A UAV cloud system for disaster sensing applications. In: 81st VTC Proceedings, pp. 1–5, IEEE, Glasgow, UK (2019)
Mannoni, V., Ber, V., et al.: A comparison of the V2X communication systems: ITS-G5 and C-V2X. In: 89th VTC Proceedings, pp. 1–5, IEEE, Kuala Lumpur, Malaysia (2019)
Wu, X., et al.: Vehicular communications using DSRC: challenges, enhancements, and evolution. IEEE J. Sel. Areas Commun. 31(9), 399–408 (2013)
Murdyantoro, E., et al.: Prototype weather station uses LoRa wireless connectivity infrastructure. In: Journal of Physics: Conference Series 1367(1), 12089 (2019)
Ultrasonic Ranging Module HC - SR04. https://cdn.sparkfun.com/datasheets/Sensors/Proximity/HCSR04.pdf. Access 7 Mar 2022
Shang Soil and Crop Roots Monitor. https://www.insentek.com/en/product/smart-moisture.html. Access 5 June 2022
Tian Qi Weather Station. https://www.insentek.com/en/product/weather-station.html. Access 5 June 2022
Babiuch, M., Foltýnek, P., Smutný, P.: Using the ESP32 microcontroller for data processing. In: 20th ICCC Proceedings, pp. 1–6, IEEE, Krakow-Wieliczka, Poland (2019)
SEMTECH SX1272. https://www.semtech.com/products/wireless-rf/lora-core/sx1272. Access 1 June 2022
Macheso, P., et al.: Design of standalone asynchronous ESP32 web-server for temperature and humidity monitoring. In: 7th ICACCS Proceedings, pp. 635–638, IEEE, Coimbatore India (2021)
Chettouh, J., Mezzah, S.: Advanced sensorless weather station implementation using ESP32. In: Senouci, M.R., Boudaren, M.E.Y., Sebbak, F., Mataoui, M. (eds.) CSA 2020. LNNS, vol. 199, pp. 165–174. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69418-0_15
Adafruit IO. https://io.adafruit.com/. Accessed 7 Mar 2022
FRDM-K64F. https://www.nxp.com/design/development-boards/freedom-development-boards/mcu-boards/freedom-development-platform-for-kinetis-k64-k63-and-k24-mcus:FRDM-K64F. Accessed 1 June 2022
Shi, M., et al.: DSRC and LTE-V communication performance evaluation and improvement based on Typical V2X application at intersection. In: CAC Proceedings, pp. 556–551, IEEE, Jinan, China (2017)
Molina-Masegosa, R., Gozalvez, J.: LTE-V for sidelink 5G V2X vehicular communications: a new 5G technology for short-range vehicle-to-everything communications. In: IEEE Vehicular Technology Magazine 12(4), 30–39 (2017)
Dobrea, M.-C., Dobrea, D.-M.: A UAV development platform for intelligent applications. In: ISSCS Proceeding, pp. 1–4, IEEE, Iasi, Romania (2021)
Zhou, H., et al.: Real-time video streaming and control of cellular-connected UAV system: prototype and performance evaluation. In: IEEE Wireless Communications Letters 10(8), 1657–1661 (2021)
Sixfab. https://sixfab.com/. Accessed 1 June 2022
Rashid, A.A., Ariffin, M.A.M., Kasiran, Z.: IoT-based flash flood detection and alert using tensorflow. In: 11th ICCSCE Proceedings, pp. 80–85, IEEE, Penang, Malaysia (2021)
Howse, J.: OpenCV Computer Vision with Python. Packt Publishing, Birmingham (2013)
Markidis, S., et al.: NVIDIA tensor core programmability, performance & precision. In: IPDPSW Proceedings, pp. 522–531, IEEE, Vancouver, BC, Canada (2018)
OpenVino. https://docs.openvino.ai/latest/index.html. Accessed 7 June 2022
Adole, A., et al.: Investigation of faster-RCNN inception Resnet V2 on offline Kanji handwriting characters. In International Conference on PRIS Proceeding, pp. 1–5, ACM, Athens, Greece (2020)
Environment Agency: River Ouse Catchment Flood Management Plan, Summary Report (2009)
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101006411 and is supported in part by Natural Environment Research Council (NERC) Discipline Hopping for Environmental Solutions, International Junior Research Associate (IJRA) scheme at University of Sussex and the State Key Laboratory of Air Traffic Management System and Technology under Grant No. SKLATM202103.
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Liu, B. et al. (2023). UAV Integrated Internet-of-Vehicle (IoV) System for Flooding Monitoring and Rescue. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_91
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DOI: https://doi.org/10.1007/978-981-99-0479-2_91
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