Smart Forklift to Reduce Accidents

P. Patil, Vaishnavi D. Rajurkar, A. Salunke, A. Pljonkin
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引用次数: 2

Abstract

This paper is to design a Smart Forklift model which reduces accident rates. Forklift is a powered industrial truck used to lift and move material over short distance. It is one of the most used machines employed for several types of tasks. Forklift is used on small as well as large scale on multiple locations. Various forklifts are available according to load capacity. Forklifts for general load purpose have capacity from 1 to 5 tons, and that of for heavier loads it has capacity of 50 tons. It has major drawback of severe accidents because of less safety features. To avoid these unwanted accidents, Smart Forklift is introduced, with arduino, gyro sensor, which decreases the rate of accidents and increases the safety of driver as well as vehicle. This design includes a small model which will detect problem whenever Forklift is in danger mode and a security threat indication is sent through a buzzer and light indication to driver.
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智能叉车减少事故
本文旨在设计一种降低事故率的智能叉车模型。叉车是一种动力工业卡车,用于短距离提升和移动材料。它是用于几种任务的最常用的机器之一。叉车既可用于小型作业,也可用于大型作业。根据负载能力,可提供各种叉车。一般载重叉车的载重能力为1 ~ 5吨,载重叉车的载重能力为50吨。由于安全性能较差,存在严重事故的大缺点。为了避免这些意外的发生,我们推出了智能叉车,采用arduino,陀螺仪传感器,降低了事故发生率,提高了驾驶员和车辆的安全性。本设计包括一个小模型,当叉车处于危险模式时,它会检测问题,并通过蜂鸣器和指示灯向驾驶员发送安全威胁提示。
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