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2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)最新文献

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Development of PLC and SCADA based Spray Coating System for Application in Glass Bottle Manufacturing Industries of Bangladesh 基于PLC和SCADA的孟加拉玻璃瓶制造行业喷涂系统的开发
Pub Date : 2019-04-18 DOI: 10.1109/APCoRISE46197.2019.9318836
Abu Salman Shaikat, R. Tasnim, Mehbub Khan, H. Imam, Shanzid Ahmad Rocky, Mahbub Alam
PLCs are robust industrial electronic systems applied for controlling a wide variety of mechanical systems. One of the most substantial applications of PLC is found in glass bottle manufacturing industry. PLC based glass bottle spray coating system is a noteworthy part of glass bottle manufacturing industry Especially, in Bangladesh the system has not yet been introduced till now. This paper aims to implement a glass bottle spray coating system using programmable logic controller (PLC) along with SCADA (WinCC RT advanced) and proportional Integral Derivative (PID) control system. For glass bottle spray coating, accurate temperature and density level needs to be maintained, which is emphasized in our proposed system. In this work, temperature sensor is used to detect the temperature of water and level switch is used to detect the water level. WinCC RT advanced is used for obtaining the real time value.
plc是一种强大的工业电子系统,用于控制各种机械系统。PLC最重要的应用之一是在玻璃瓶制造行业。基于PLC的玻璃瓶喷涂系统是玻璃瓶制造行业值得关注的一部分,特别是在孟加拉国,该系统至今尚未引入。本文旨在利用可编程控制器(PLC)、SCADA (WinCC RT高级)和比例积分导数(PID)控制系统实现玻璃瓶喷涂系统。对于玻璃瓶喷涂,需要保持准确的温度和密度水平,这是我们所提出的系统所强调的。在本工作中,温度传感器用于检测水的温度,水位开关用于检测水位。使用WinCC RT advanced获取实时值。
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引用次数: 1
An Image Processing and Artificial Intelligence based Traffic Signal Control System of Dhaka 基于图像处理和人工智能的达卡交通信号控制系统
Pub Date : 2019-04-18 DOI: 10.1109/APCoRISE46197.2019.9318966
Abu Salman Shaikat, Rezwan-us Saleheen, R. Tasnim, Rayhan Mahmud, Farhan Mahbub, Tohorul Islam
Traffic jam is one of the greatest problem of Bangladesh. It affects mostly on its capital city, Dhaka, where density of population is second highest among the world. One of the major reason for occurring traffic jam is inaccuracy of the use of traffic signal. This paper introduces an intelligent traffic control system for four nodes traffic system. This system is entirely controlled by the use of image processing and artificial intelligence techniques. Image processing leads for detecting the density of vehicles by using Haar Cascade method, whereas artificial intelligence helps to modify the timing of traffic signal accurately time by time. These process held automatically and police can monitor from police box all over the time by computer. Moreover, in case of emergency, a manual system is introduced, which can support traffic police to turn the system to manual and operate the timing manually. Finally, traffic data is collected from road and prove the effectiveness of proposed system. This system will support as an extremely effective, self-coordinated and self-organized traffic control appliance.
交通堵塞是孟加拉国最大的问题之一。它主要影响其首都达卡,那里的人口密度在世界上排名第二。发生交通堵塞的一个主要原因是交通信号的使用不准确。本文介绍了一种面向四节点交通系统的智能交通控制系统。该系统完全由图像处理和人工智能技术控制。图像处理导致使用Haar级联方法检测车辆密度,而人工智能有助于逐次精确地修改交通信号的时间。这些过程是自动进行的,警察可以通过计算机随时从警亭进行监控。此外,在紧急情况下,还引入了手动系统,可以支持交警将系统转为手动,手动操作计时。最后通过对道路交通数据的采集,验证了系统的有效性。该系统将支持作为一个极其有效的、自协调和自组织的交通控制设备。
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引用次数: 2
期刊
2019 Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE)
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