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Crosscut optimization of wooden boards based on automated inspection

机译:基于自动检查的木板横切优化

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Abstract: A fully automatic crosscut saw, based on automatic detection of all relevant wood defects, gives completely new opportunities to determine the optimum use of a wooden board. In this paper, a quality model is given to match the requirements of the end products to the quality of the raw material. The quality model is well suited for efficient computer implementation. Furthermore, an optimization procedure based on this model is proposed, giving an integrated system where defect data is input in one end and final cutting lists are output in the other. The procedure is guaranteed to produce optimal cutting lists from the given input data. Tests with real data from a Swedish window manufacturer show that the average output value is 7% higher using this procedure than what is obtained from their existing commercial saw. The procedure is also very efficient. The test shows that it is capable of producing optimal cutting lists for their given product mix within an average 17 ms on an ordinary PC.!7
机译:摘要:全自动横切锯基于对所有相关木材缺陷的自动检测,为确定最佳使用木板提供了全新的机会。在本文中,给出了一种质量模型,以使最终产品的要求与原材料的质量相匹配。质量模型非常适合有效的计算机实施。此外,提出了一种基于该模型的优化程序,给出了一个集成系统,该系统的一端输入缺陷数据,另一端输出最终切削清单。该程序可确保从给定的输入数据中生成最佳的切割清单。使用瑞典窗户制造商的真实数据进行的测试显示,使用此程序所获得的平均产值比从其现有的商用锯所获得的高出7%。该过程也非常有效。该测试表明,它能够在普通PC上平均17毫秒内针对给定产品组合生成最佳切割清单。!7

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