Implementation of machine vision as an input to a fuzzy water level control system

2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) Pub Date : 2017-12-01 DOI:10.1109/HNICEM.2017.8269484

Ryann Alimuin, Edwin J. Calilung, E. Dadios

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引用次数: 3

Abstract

In this paper, a Type I fuzzy logic controller (FLC) is applied to execute machine vision parameters such as object tracking and image processing on a specific color threshold. This system is used to compensate for large power consumption of current PID controllers that are currently being used in industrial tank systems. The aim of the implemented fuzzy controller is to utilize the conventional camera to replace existing level sensors and linear variable differential transformers (LVDT) in monitoring the water level inside a reservoir under a definite tolerance. The camera is integrated in a Roborealm machine vision software which analyses the input parameter. An embedded Arduino microcontroller handles the regulation pump which maintains the specified water level onto user defined conditions. It is found out that the fuzzy system produced a better solution than conventional control techniques.

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机器视觉作为模糊水位控制系统输入的实现

本文采用I型模糊逻辑控制器(FLC)在特定的颜色阈值上执行对象跟踪和图像处理等机器视觉参数。该系统用于补偿目前工业油箱系统中使用的PID控制器的大功耗。所实现的模糊控制器的目的是利用传统的摄像机取代现有的液位传感器和线性变差变压器(LVDT)，在一定容限下监测水库内的水位。相机集成在Roborealm机器视觉软件中，该软件分析输入参数。嵌入式Arduino微控制器处理调节泵，将指定的水位维持在用户定义的条件上。结果表明，与传统控制技术相比，模糊控制系统具有更好的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

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