Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi

Mohammed Gamal Al-Shahethi, Amgad Muneer, Ebrahim A. A. Ghaleb, S. Darshi, Akram A. Almohammedi
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引用次数: 1

Abstract

Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable.
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利用物联网和树莓派对输送线速度进行实时监测
人工监控非常耗时,并且会给行业带来高昂的成本和延迟。提出了一种基于物联网的直流电机远程监控系统,用于工业领域安全、经济的数据通信。单个传感器监测直流电机的速度,并将其发送到树莓派微控制器,微控制器将其发送到云数据库进行远程监控。该系统还介绍了使用简单的电位器手动控制电机转速的方法。因此,该系统具有测量、监控和控制三种功能。测量基于光隔离传感器和Arduino Mega微控制器。控制是基于电位器,Arduino Uno和电机驱动电路。监测是基于树莓派和ThingSpeak平台。首先,速度传感器HC-020K感应速度数据。其次,Arduino Mega将HC-020K传感器的数据提取为合适的每分钟转数,发送给树莓派。第三,树莓派将数据发送到ThingSpeak的服务器。最后,通过实验证明了该系统的实用性和可靠性。
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