一种基于传感器的辅助技术,适用于下肢残疾农业工人和残疾女工进行拖拉机离合器和制动器操作

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2023-06-05 DOI:10.1002/rob.22214
Smrutilipi Hota, V. K. Tewari, Laxmi Kant Dhruw, Abhilash K. Chandel
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引用次数: 0

摘要

农业机械化虽然通过改进的智能技术缩小了粮食供需差距,但由于缺乏适当的辅助技术,工人也有可能因意外事故导致下肢残疾,从而限制他们参与农业生产。工效学的缺乏进一步减少了女工参与农业生产的机会。因此,本研究的重点是开发一种基于传感器的拖拉机离合器和制动器操作无线手控系统,以协助下肢残疾的农业工人和健全女性操作拖拉机。使用集成式脚踏传感器对传统离合器和制动器踏板的驱动力和速度进行了评估,并以此作为系统设计的参考(离合器:92-310 牛顿,36-43 毫米/秒;制动器:106-329 牛顿,57-63 毫米/秒)。手控系统由一个发射器和一个接收器节点组成,其中包括单板计算机、矩阵键盘、电压调节器、继电器开关、通过射频模块进行的无线通信,以及通过 L 形夹、螺母、螺栓和链条与踏板连接的电动线性执行器。所开发系统的响应时间为 100 毫秒,在前进速度为 2.1-7.9 公里/小时的情况下,使用手控系统的拖拉机停车距离为 44.0-190.7 厘米。使用 K4b2 氧分析仪进行的人体工程学评估表明,与手控相比,拖拉机使用脚控耗能高(9.7-15.1 千焦/分钟)(7.3-14.1 千焦/分钟)。发现上肢肌肉伸肌的肌电图-根均方根值(EMG-RMS)最高(14.76-45.29 µV),并受到前进速度、性别、受试者和控制类型的显著影响(p <0.01),而其他选定的上肢肌肉、三角肌中部、腕屈肌和肱肌的肌电图-RMS则未受到控制类型(脚控或手控)的显著影响。在使用所开发的手控系统进行拖拉机操作时,所有肌肉的工作负荷均在建议范围内(30%)。所开发的手控系统为下肢残疾和女工提供了绕过脚部驱动要求的选择。这种新颖的设计对工作场所和操作力的要求极低,符合操作员的人体工程学。
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A sensor-based assistive technology for lower-limb-disabled agricultural workers and abled female workers for tractor clutch and brake operation

Agricultural mechanization although reduces the food demand and supply gap through improved and smart technologies, it also risks the lower-limb disability of workers due to accidents that restrict them to participate in agricultural operations due to the unavailability of appropriate assistive technologies. The lack of use of ergonomics further minimizes the inclusion of female workers in farming operations. Therefore, this study is focused on the development of a sensor-based wireless hand control system for tractor clutch and brake operation to assist lower-limb-disabled agricultural workers and abled females in tractor operation. Actuation force and speed of conventional clutch and brake pedals were evaluated using an integrated foot transducer and used as a reference for the design of the system (clutch: 92–310 N, 36–43 mm/s; brake: 106–329 N, 57–63 mm/s). The hand control system consists of a transmitter and a receiver node incorporating a single-board computer, matrix keypad, voltage regulators, relay switches, wireless communication through radio frequency modules, and electric linear actuators connected with the pedals through L-shaped clips, nuts, bolts, and chains. The response time of the developed system was determined as 100 ms and the stopping distance of the tractor using the hand control system ranged from 44.0 to 190.7 cm at a forward speed of 2.1–7.9 km/h. The ergonomic evaluation measured using the K4b2 oxygen analyzer identified the foot control usage in tractors as high energy consuming (9.7–15.1 kJ/min) compared with the hand control usage (7.3–14.1 kJ/min). Electromyography-root mean square (EMG-RMS) of upper limb muscle, extension digitorum was found to be highest (14.76–45.29 µV) and was significantly affected by forward speed, gender, subjects, and type of control (p < 0.01) whereas, EMG-RMS of other selected upper limb muscles, middle deltoid, flexor carpi radialis, and brachioradialis was not significantly affected by the type of control (foot or hand). Muscle workload of all the muscles was observed within the recommended limit (<30%) during the tractor operation with the developed hand control system. The developed hand control system provides options to bypass foot-based actuation requirement for lower limb disabled as well as female workers. The novel design requires minimal workplace and operating forces and is inclusive of operator ergonomics.

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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
期刊最新文献
Issue Information Cover Image, Volume 41, Number 8, December 2024 Issue Information ForzaETH Race Stack—Scaled Autonomous Head‐to‐Head Racing on Fully Commercial Off‐the‐Shelf Hardware Research on Satellite Navigation Control of Six‐Crawler Machinery Based on Fuzzy PID Algorithm
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