Autonomous Vehicles Management in Agriculture with Bluetooth Low Energy (BLE) and Passive Radio Frequency Identification (RFID) for Obstacle Avoidance

被引：8

作者：

Monarca, Danilo ^{[1
]}

Rossi, Pierluigi ^{[1
]}

Alemanno, Riccardo ^{[1
]}

Cossio, Filippo ^{[1
]}

Nepa, Paolo ^{[2
]}

Motroni, Andrea ^{[2
]}

Gabbrielli, Roberto ^{[3
]}

Pirozzi, Marco ^{[4
]}

Console, Carla ^{[4
]}

Cecchini, Massimo ^{[1
]}

机构：

[1] Tuscia Univ, Dept Agr & Forest Sci DAFNE, I-01100 Viterbo, Italy

[2] Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy

[3] Univ Pisa, Dept Civil & Ind Engn, I-56122 Pisa, Italy

[4] Natl Inst Insurance Accid Work INAIL, Lab Div Proc & Prod Plant Safety 4, I-00143 Rome, Italy

来源：

SUSTAINABILITY | 2022年 / 14卷 / 15期

关键词：

agriculture; smart farming; work safety; BLE; RFID; remote control; tractor; TRACTOR ROLLOVER DETECTION; SAFETY; SYSTEM; BEHAVIOR; WORKERS;

D O I：

10.3390/su14159393

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Obstacle avoidance is a key aspect for any autonomous vehicles, and their usage in agriculture must overcome additional challenges such as handling interactions with agricultural workers and other tractors in order to avoid severe accidents. The simultaneous presence of autonomous vehicles and workers on foot definitely calls for safer designs, vehicle management systems and major developments in personal protective equipment (PPE). To cope with these present and future challenges, the "SMARTGRID" project described in this paper deploys an integrated wireless safety network infrastructure based on the integration of Bluetooth Low Energy (BLE) devices and passive radio frequency identification (RFID) tags designed to identify obstacles, workers, nearby vehicles and check if the right PPE is in use. With the aim of detecting workers at risk by scanning for passive RFID-integrated into PPE in danger areas, transmitting alerts to workers who wear them, tracking of near-misses and activating emergency stops, a deep analysis of the safety requirements of the obstacle detection system is shown in this study. Test programs have also been carried out on an experimental farm with detection ranging from 8 to 12 meters, proving that the system might represent a good solution for collision avoidance between autonomous vehicles and workers on foot.

引用

页数：13