| 摘要: |
| 目的 通过分析当前棉花加工行业存在的信息链断裂、质量信息追溯难、各环节信息孤岛等问题，实现皮棉生产全过程质量信息管理。方法 提出了一种基于标识解析的皮棉生产全过程质量信息追溯方法。首先，按照生产顺序将皮棉生产的环节进行划分，分析各环节中对质量存在危害的影响因素;其次，运用模糊层次分析法计算各环节的权重值，对皮棉生产车间的可靠性进行了分配;然后，通过对各环节中的人、机、料、法、环、测等信息进行分析，融合标识解析技术和可拓物元理论，探讨了一种基于物元可拓的全要素信息标识模型，以实现对皮棉生产信息的高效管理;最后，在信息标识的基础上，提出了一种结合有向无环图(DAG)的质量信息追溯方法。结果 采用IntelliJ IDEA编程软件和MySQL数据库搭建了皮棉生产全过程质量信息追溯系统，实现了对皮棉生产全过程质量信息的溯源。结论 通过对机采棉加工关键质量信息追溯进行验证，测得了系统平均查询时间为73.964 ms，能够满足皮棉生产质量信息追溯的需求。本研究可为棉花生产全过程质量信息追溯提供一定的参考与借鉴。 |
| 关键词: 皮棉生产过程 质量信息追溯 有向无环图 可靠性分配 标识解析 |
| DOI：10.19554/j.cnki.1001-3563.2024.23.024 |
| 分类号: |
| 基金项目:国家工业和信息化部重点项目(TC210A02E);自治区重大科技专项项目(2022A01009-4) |
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| Quality Traceability Method for Cotton Production Process Based on Trusted Identification |
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WU Xue, SUN Wenlei, LANG Shuangman, WANG Liwen, CHANG Saike, LU Cheng
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(College of Intelligent Manufacturing Modern Industry, Xinjiang University, Urumqi 830049, China)
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| Abstract: |
| The work aims toachieve the management of quality information throughout the entire process of cotton production by analyzing the current problems in the cotton processing industry, such as information chain breakage, difficulty in quality information traceability, and information isolation in various links. This article proposed a method for tracing quality information throughout the entire process of cotton production based on identification analysis. Firstly, the cotton production process was divided according to the production sequence, and the factors that posed risks to quality in each process were analyzed; Secondly, the fuzzy analytic hierarchy process was used to calculate the weight values of each link and allocate the reliability of the cotton production workshop. Then, by analyzing the information of people, machines, materials, methods, environment, and measurement in each link, integrating identification analysis technology and extensible matter element theory, a comprehensive element information identification model based on matter element extension was explored to achieve efficient management of cotton production information; Based on information identification, a quality information traceability method combining directed acyclic graph (DAG) was proposed; A cotton production process quality information traceability system was established using IntelliJ IDEA programming software and MySQL database, achieving traceability of cotton production process quality information. In conclusion, by verifying the traceability of key quality information in machine picked cotton processing, the average query time of the system is measured to be 73.964 ms, which can meet the requirements of quality information traceability in cotton production. This study can provide certain reference and reference significance for the traceability of cotton quality information throughout the entire process. |
| Key words: cotton production process quality information traceability directed acyclic graph reliability allocation identification resolution |
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