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首页> 外文期刊>Australian Journal of Multi-Disciplinary Engieering >Development and deployment of a data capture and reporting system for Onesteel Wire Products*
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Development and deployment of a data capture and reporting system for Onesteel Wire Products*

机译:为Onesteel Wire Products开发和部署数据捕获和报告系统*

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摘要

Newcastle and Geelong Wiremills processes approximately 200,000 t/a of steel rod and bar into wire, wire products and fence posts. The processes in the plant involve over 100 individual machines, three continuous galvanising lines, cleaning lines and effluent plants. The complexity of these plants and significant reliance on manual labour led to a number of data gathering systems being developed by individual departments. These systems generally did not share a common platform, calculated critical measures differently, and data was not shared or compared. In 2010 a project brief to implement a machine data capture (MDC) system in Newcastle and Geelong Wiremills was developed. The gathering system was to be plant-based for direct operator input, with the reporting system being web-based, for ease of access. In 2011 the capital approval for stage one of the project was approved with installation of this stage being completed later that year. Currently there are 28 MDC stations installed and over 22 months of data gathered, which is being reviewed in different forms on a daily basis. This paper is a review of the whole process from development of the specification, installation of the system, development of the reporting system, and then some practical examples as to how the data gathered is being used to improve overall equipment efficiency.
机译:纽卡斯尔(Newcastle)和吉朗(Geelong)线厂将大约20万吨/年的棒材和棒料加工成线材,线材产品和围栏。工厂中的过程涉及100多台独立机器,三条连续镀锌线,清洁线和废水处理厂。这些工厂的复杂性和对手工劳动的严重依赖导致各个部门开发了许多数据收集系统。这些系统通常不共享公共平台,以不同的方式计算关键指标,并且不共享或比较数据。 2010年,开发了一个项目简介,以在纽卡斯尔和吉朗线厂实施机器数据捕获(MDC)系统。收集系统将基于工厂,以便于操作员直接输入,而报告系统则基于Web,以便于访问。 2011年,该项目第一阶段的资本批准获得批准,该阶段的安装于当年晚些时候完成。当前,已经安装了28个MDC站,并且收集了超过22个月的数据,并且每天都会以不同的形式对其进行审查。本文是对整个过程的回顾,包括规范的制定,系统的安装,报告系统的开发,然后是一些有关如何使用收集的数据来提高整体设备效率的实际示例。

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