大数据在拧紧数据分析中的应用 樊宇.pdf

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nology, the tightening curves are clustered to generate multiple tightening data
scenarios (hereinafter referred to as tightening scenes or scenes), and the tightening scenes are manually marked
(defect types), and finally each tightening scene is reviewed and confirmed by the quality assurance department, which
can guide personnel to analyze tightening defects. Using certified tightening scenarios to analyze tightening curves can
save time for viewing tightening curves and analyzing tightening defects, improve the timeliness of problem solving and
the tightening qualification rate in the workshop without relying on the experience of analysts.
Key words: Big data, Tightening, Curve, Bolt
拧紧曲线可以得到大多数缺陷的原因。本文主要
1 前言
介绍利用大数据技术提升拧紧曲线的分析效率及
总装车间拧紧质量是整车装配质量非常重要 准确率，进而加快拧紧质量提升。
的一环，而拧紧曲线是分析拧紧装配问题的重要
2 数据处理
工具，其真实且完整的记录了整个拧紧过程中扭