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An on-Line Measuring Method of Production Plan Track in Core Enterprise Under Supply Chain

机译:供应链下核心企业生产计划轨迹的在线测量方法

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Based on the features of production plan and control in core enterprise under supply chain, according to the modern data fusion theory, the paper presents an automatic on-line measuring method of distributed production plan track by using the multi-sensor and multi-layered compound data fusion strategy founded on field bus. First, utilizing the wavelet analysis method, the data that comes from the field sensors is processed by pretreatments including anti-jamming and noise-removing and property-distilling, then through the CAN field bus, the data is transmitted to the center data fusion unit which contains several model fusion methods and enters into the suitable fusion arithmetic to complete the fusion separately and automatically on the basis of the type of the data, finally the output information comes into the expert Arbitration unit to realize the machining accuracy data of a working procedure that has finished justly and the faults of the machine tools and cutting-tools etc. By the input data from the expert arbitration unit, it will reschedule Job-Shop production plan, so as to realize the right time to finish productive task (JIT). At the same time, it can provide data guarantee for the production plan and control in core enterprise under supply chain. The result presented in this paper shows that the method is feasible and efficient.
机译:基于供应链下核心企业生产计划和控制的特点,根据现代数据融合理论,提出了一种利用多传感器,多层复合的分布式生产计划轨迹自动在线测量方法。基于现场总线的数据融合策略。首先,利用小波分析方法,对来自现场传感器的数据进行预处理,包括抗干扰,消除噪声和特性提取,然后通过CAN现场总线将数据传输到中央数据融合单元其中包含几种模型融合方法,并根据数据类型输入合适的融合算法以自动完成融合,最后将输出信息输入专家仲裁单元以实现加工程序的加工精度数据通过专家仲裁单元的输入数据,它将重新安排Job-Shop生产计划,从而在正确的时间完成生产任务(JIT) 。同时,它可以为供应链下核心企业的生产计划和控制提供数据保障。本文给出的结果表明该方法是可行和有效的。

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