湖州生丝纤度判定数据

通过生丝纤度检验原始数据的上传并判定，可以按需判定生丝质量和品级，对湖州生丝使用原料的质量情况起到评判和监管作用，有利于指导绸厂合理使用原料和设置织造参数，并能有效提升湖州地区的绸缎的综合质量。湖州生丝纤度判定数据的算法规则包括以下几个方面： 1.数据采集：检验人员通过切断、纤度等检验获取生丝纤度分布信息。 2.数据处理：对采集到的原始数据进行处理，通过采集的数据系统自动换算200根100回生丝的重量，并最终再次换算为生丝纤度偏差、纤度最大偏差等关键数据，以便后续的分析和应用。 3.数据分析：根据国家标准GB/T 1798-2008
《生丝》计算出该批生丝的纤度数据：纤度最大偏差X，生丝级别=IFS（X≤3.05，"6A",X≤3.45，"5A"，X≤3.90，“4A”，X≤4.70，“3A”，X≤5.50，“2A”，“A”），可以评估出生产厂家缫丝的均匀度，进一步反应样品的优劣程序。 4.数据应用：对生丝生产质量进行评判，确定绸厂的生产工艺及原料价格，并可以此提高厂家的生产质量。通过该数据可以实现对生丝质量情况的实时了解和管理，以提高传统产业的质量。

By uploading and evaluating the original raw silk fineness test data, the quality and grade of raw silk can be determined as required. This serves to evaluate and supervise the quality of raw materials for Huzhou raw silk, helps guide silk fabric mills to rationally use raw materials and set weaving parameters, and effectively improves the overall quality of silk products in the Huzhou region.

The algorithmic rules for the Huzhou raw silk fineness judgment dataset include the following aspects:
1. Data Collection: Testers obtain the raw silk fineness distribution information through tests such as breaking tests and fineness tests.
2. Data Processing: Process the collected raw data. The data acquisition system automatically converts the weight of 200 100-test raw silk samples, and finally converts it into key metrics including raw silk fineness deviation and maximum fineness deviation for subsequent analysis and application.
3. Data Analysis: Calculate the fineness data of this batch of raw silk in accordance with the national standard GB/T 1798-2008 *Raw Silk*: maximum fineness deviation X, raw silk grade = IFS(X ≤ 3.05, "6A", X ≤ 3.45, "5A", X ≤ 3.90, "4A", X ≤ 4.70, "3A", X ≤ 5.50, "2A", "A"). This can assess the reeling uniformity of manufacturers, further reflecting the quality level of the tested samples.
4. Data Application: Evaluate the production quality of raw silk, determine the production processes and raw material prices of silk fabric mills, and use this to enhance the production quality of manufacturers. Through this dataset, real-time monitoring and management of raw silk quality can be realized, so as to improve the quality of traditional industries.