Development of Remote Equipment Monitoring System for Single Axis Semi-Automatic Welding Machines

碩士 === 國立臺北科技大學 === 電能轉換與控制產業碩士專班 === 102 === Single axis semi automatic welding machines are widely used in auto parts factories. It can combine two metal parts together by welding. The quality of welding depends on the welding voltage, welding current and shielding gas flow rate. The excessive w...

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Bibliographic Details
Main Authors: Keng-Ming Liou, 劉耿銘
Other Authors: 曾傳蘆
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/cjb5bn
Description
Summary:碩士 === 國立臺北科技大學 === 電能轉換與控制產業碩士專班 === 102 === Single axis semi automatic welding machines are widely used in auto parts factories. It can combine two metal parts together by welding. The quality of welding depends on the welding voltage, welding current and shielding gas flow rate. The excessive welding voltage leads to wider weld and shallower undercut. In contrast, the immoderate low welding voltage leads to narrower weld and deeper undercut. Also, the excessive welding current causes welding penetration and the undercut is shallow when the welding current is low. To monitor the parameters of single axis semi-automatic welding machines, this thesis developed a remote monitoring system. The system software adopted HTML5 and CSS3 web design rules to build cross-platform web pages. The developed cross-platform web pages can automatically adjust the resolution according to the accessing mobile devices and displayed on the device screen in proper size. Moreover, the PHP programming language and MySQL tool were used to establish the historical machine database. In addition, this study introduced the Shewhart control chart and western electric rules in the statistical process control technique, which can analyze the uniformity of parameters variation and diagnose quality stability. As a result, using the proposed remote monitoring system, maintenance engineers and product managers can access the analysis results of the control charting by using mobile devices. From the implementation results, the remote monitoring system developed in this thesis can analyze welding condition parameters of single axis semi-automatic welding machine, and diagnose the stability of welding parameters by using the SPC techniques. Also, the control charting can effectively detect drift trend of welding parameters to improve the quality of uniformity. All these results can be accessed by using mobile devices in ubiquitous environments.