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牛津布克重检测数据

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浙江省数据知识产权登记平台2024-01-10 更新2024-05-08 收录
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牛津布的克重是评价其质量的一项重要标准,对生产的每单牛津布进行克重的检测,不仅可以评价产品是否合格,帮助企业改进生产工艺,保证交货产品克重均达到标准,还有助于企业判断生产设备的稳定性,监控设备是否需要调整或维修,并为消费者选择合适的产品提供选择依据。1、检测数据:记录每一单牛津布的生产单号、检测日期、面料名称、工序等情况,取左、中、右三点,分别检验其克重并记为a、b、c,2、数据处理:计算布料的平均克重、极差值,平均克重=(a+b+c)/3,极差为最大克重与最小克重的差值,3、实测克重值及平均克重值帮助企业判断产品克重是否合格,极差的计算有助于企业判断生产设备的稳定性,判断设备参数是否需要调整或维修,若极差值过高,则需及时维修设备。

The areal weight of oxford fabric is a critical criterion for evaluating its quality. Conducting areal weight tests on each production lot of oxford fabric not only enables the assessment of product compliance, helps enterprises optimize production processes, ensure that all delivered products meet the specified areal weight standards, but also assists enterprises in evaluating the stability of production equipment, monitoring whether equipment adjustments or maintenance are required, and provides reference for consumers to select suitable products. 1. Test Data: Record the production order number, test date, fabric name, production process and other relevant information for each lot of oxford fabric. Take three measurements at the left, middle and right positions of the fabric, test their areal weight respectively, and mark them as a, b and c. 2. Data Processing: Calculate the average areal weight and range of the fabric. The average areal weight is calculated as (a+b+c)/3, while the range is the difference between the maximum and minimum areal weight values. 3. The measured areal weight values and average areal weight help enterprises determine whether the product's areal weight meets the compliance standards. The calculation of the range assists enterprises in assessing the stability of production equipment and judging whether equipment parameters need adjustment or maintenance. If the range value is excessively high, timely equipment maintenance is required.

创建时间:
2023-12-26
搜集汇总
数据集介绍
牛津布克重检测数据 数据集图片
背景与挑战
背景概述
该数据集专注于牛津布克重的检测,旨在通过记录每单牛津布的生产信息和克重测量值(左、中、右三点),计算平均克重和极差值,以评估产品质量是否合格、监控生产设备稳定性,并辅助企业优化工艺和设备维护。数据集直接服务于生产质量控制,帮助确保交货标准并为消费者选择提供依据。
以上内容由遇见数据集搜集并总结生成
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