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中药饮片生产工艺参数与质量指标数据集

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贵州省数据知识产权登记平台2025-09-22 更新2025-09-23 收录
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https://gzdipp.gzsis.cn:12020/noticeDetail?id=1168&type=1
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资源简介:
本数据集通过结构化表格形式组织数据,具备以下规则与逻辑: 1.产品编码规则:采用“C+三位数字”为主产品编码,衍生品增加“-序号”(如C001-1为酒女贞子)。 2.工艺参数关联机制:通过“产品代码”与“工序名称”双键关联,确保参数与产品一一对应。 3.质量指标控制逻辑:每道工序设置关键质量指标(如水分、杂质、性状等),并明确检验方法与限度。 4.收率与物料平衡计算:基于工序投入与产出量,计算收率与物料平衡率,确保生产过程的透明与可控。公式如下: 各工序收率(%)=(该工序完成后的合格品重量/该工序的领料量)x100% , 物料平衡率(%)=((合格品量+不合格品量+取样量)/领料量)x100% 。 5.设备-工艺匹配规则:根据工艺要求(如温度、压力、投料量)匹配设备型号与编号,确保工艺可行性。

This dataset is organized in a structured tabular format and adheres to the following rules and logical frameworks: 1. Product Coding Rule: The main product code adopts the format of "C + three-digit number", and derivatives are appended with "-serial number" (for example, C001-1 refers to wine-processed Ligustri Lucidi Fructus). 2. Process Parameter Association Mechanism: The double-key association of "product code" and "process name" is adopted to ensure one-to-one correspondence between parameters and products. 3. Quality Index Control Logic: Key quality indicators (such as moisture, impurities, organoleptic properties, etc.) are set for each process, with clear test methods and acceptance limits specified. 4. Yield and Material Balance Calculation: Based on the input and output quantities of each process, the yield and material balance rate are calculated to ensure the transparency and controllability of the production process. The formulas are as follows: Yield of each process (%) = (Qualified product weight after completion of this process / Material withdrawal quantity of this process) × 100%, Material balance rate (%) = (Qualified product quantity + Unqualified product quantity + Sampling quantity) / Material withdrawal quantity × 100%. 5. Equipment-Process Matching Rule: Equipment models and serial numbers are matched according to process requirements (such as temperature, pressure, feeding amount) to ensure the feasibility of the process.
创建时间:
2025-09-18
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集由安顺市宝林科技中药饮片有限公司提供,规模为27kb,无定期更新,专注于中药饮片生产领域。它采用结构化表格形式,包含产品编码、工艺参数、质量指标等规则算法,支持生产管理、质量控制和研发等应用,具有高度专业性和实用性。
以上内容由遇见数据集搜集并总结生成
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