Obstacle Avoidance Safety System for Agricultural Tractors and Autonomous Vehicles Based on Bluetooth and Passive RFID

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AIIA 2022: Biosystems Engineering Towards the Green Deal (AIIA 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 337))

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Abstract

Proper interaction of workers on foot and machines is a key aspect for safety analysis of agricultural and forestry operations. Autonomous vehicles might utterly increase accident probability and severity, meaning that such vehicles must rely on inherently safe designs and that better safety devices for workers should be developed.

An attempt to address these challenges for safer working contexts in future is represented by the “SMARTGRID” project, funded by the Italian National Institute for Insurance against Accidents at Work (INAIL), which designed a brand-new wireless safety network based on Bluetooth Low Energy (BLE) devices and passive Radio Frequency IDentification (RFID) tags. The whole point of its design is to rely on a multilayer infrastructure made of two wireless networks with very different performance levels, where the strengths of a system can fill the gaps of the other and vice versa.

SMARTGRID involves antennas placed on every vehicle in order to scan for the presence of nearby RFIDs attached on workers’ personal protective equipment. To complete the system, BLE beaconing systems are also placed on vehicles: such systems will both deliver alerts to nearby workers as they enter a higher-risk area and notify all the occurrences to a backend server to store statistical data for safety purposes.

System’s range of detection spans within 8 and 12 m, but it may vary depending on tractor’s height and field conditions. Further test programs are underway in an experimental farm and will provide additional results by the end of 2022.

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References

  1. Bruzzone, A.G., et al.: Autonomous systems & safety issues: the roadmap to enable new advances in industrial applications. In: 29th European Modeling and Simulation Symposium, EMSS 2017, Held International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017, March 2018, pp. 565–571 (2017)

    Google Scholar 

  2. Pirozzi, M., Di Donato, L., Tomassini, L., Ferraro, A.: Possible innovative technical measures for risk prevention during the use of mobile machines with remote guide/control. Procedia Manuf. 42, 457–461 (2020). https://doi.org/10.1016/j.promfg.2020.02.049

    Article  Google Scholar 

  3. Facchinetti, D., Santoro, S., Galli, L.E., Pessina, D.: Agricultural tractor roll‐over related fatalities in Italy: results from a 12 years analysis. Sustainability 13(8) (2021). https://doi.org/10.3390/su13084536

  4. Fargnoli, M., Lombardi, M., Haber, N., Puri, D.: The impact of human error in the use of agricultural tractors: a case study research in vineyard cultivation in Italy. Agriculture 8(6) (2018). https://doi.org/10.3390/agriculture8060082

  5. Cecchini, M., Colantoni, A., Monarca, D., Cossio, F., Riccioni, S.: Survey on the status of enforcement of european directives on health and safety at work in some farms of central Italy. Chem. Eng. Trans. 58, 103–108 (2017). https://doi.org/10.3303/CET1758018

    Article  Google Scholar 

  6. Adams, J., Kennedy, A., Cotton, J.: Child farm-related injury in Australia : a review of the literature, pp. 1–16 (2021)

    Google Scholar 

  7. Becot, F., Bendixsen, C., Barnes, K., Rudolphi, J.: Broadening our understanding of farm children’s risk exposure by considering their parents’ farming background, pp. 18–21 (2021)

    Google Scholar 

  8. Quendler, E., et al.: Child safety driver assistant system and its acceptance. J. Agromed. 14(2), 82–89 (2009). https://doi.org/10.1080/10599240902779394

    Article  Google Scholar 

  9. Kise, M., Zhang, Q., Noguchi, N.: An obstacle identification algorithm for a laser range finder-based obstacle detector. Trans. Am. Soc. Agric. Eng. 48(3), 1269–1278 (2005). https://doi.org/10.5916/jkosme.2013.37.7.737

    Article  Google Scholar 

  10. Rossi, P., Mangiavacchi, P.L., Monarca, D., Cecchini, M.: Smart machinery and devices for reducing risks from human-machine interference in agriculture: a review. In: Biocca, M., Cavallo, E., Cecchini, M., Failla, S., Romano, E. (eds) SHWA 2020. LNCE, vol. 252, pp. 195–204. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98092-4_21

  11. Montanaro, T., et al.: An IoT-aware smart system exploiting the electromagnetic behavior of UHF-RFID tags to improve worker safety in outdoor environments. Electronics 11, 717 (2022)

    Google Scholar 

  12. Monarca, D., et al.: Autonomous vehicles management in agriculture with bluetooth low energy (BLE) and passive radio frequency identification (RFID) for obstacle avoidance. Sustainability 14, 9393 (2022). https://doi.org/10.3390/su14159393

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Correspondence to Pierluigi Rossi .

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Rossi, P., Cossio, F., Cecchini, M., Monarca, D. (2023). Obstacle Avoidance Safety System for Agricultural Tractors and Autonomous Vehicles Based on Bluetooth and Passive RFID. In: Ferro, V., Giordano, G., Orlando, S., Vallone, M., Cascone, G., Porto, S.M.C. (eds) AIIA 2022: Biosystems Engineering Towards the Green Deal. AIIA 2022. Lecture Notes in Civil Engineering, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-031-30329-6_91

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  • DOI: https://doi.org/10.1007/978-3-031-30329-6_91

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