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A diagnostic expert system for the coloration of polyester materials.

机译：聚酯材料着色的诊断专家系统。

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摘要

The resolution of textile related problems across the globe necessitates collaboration amongst interdisciplinary teams of experts where it must be recognized that the perturbation of one part would affect many others. Resolution of problems in the coloration industry, for instance, can be very time consuming and highly challenging as the process is influenced by a large number of, often, interactive variables. In addition, there is a growing realization that the complex problems faced by the industry go beyond the abilities of local individual experts, and that there is a diminishing expertise base to address various challenges. The utilization of a field of artificial intelligence known as expert systems can help address many of the problems in the textile industry more effectively, and economically.;Thus the purpose of this study was to develop a knowledge-based diagnostic expert system (ES) to troubleshoot issues in the coloration of polyester materials as the most widely used synthetic fiber. This was accomplished in four stages: selection of a suitable ES development tool, knowledge acquisition, design and development of appropriate modules and finally testing and evaluation of the system. A Windows based version of C Language Integrated Production System (wxfuzzyCLIPS: ver. 1.64) was selected as the development shell. A review of the most commonly occurring problems in the dyeing of polyester in the forms of yarn, knitted and woven fabric with various classes of disperse dyes and employing different dyeing methods and machines was carried out. In addition over fifty coloration experts from several countries were contacted and asked to participate in an electronic technical survey of which fourteen coloration experts (with a range of industrial and/or academic experience from 6 to 45 years) responded. Additionally, the knowledge reported in the literature was incorporated into this database. After the knowledge base of the system was developed, it was verified, validated and evaluated using human experts as well as case studies. The validation and verification process involved debugging, testing and evaluation of various modules. Assessments were based on the comparative performance of human experts and the expert system through several faulty dyed samples. The system should be ideally tested in an industrial setting to ensure a satisfactory performance is achieved as verified by several human experts. The results of testing and evaluation demonstrated good performance of the system when compared to human experts. This system is a powerful tool to diagnose issues related to the coloration of polyester, which can save time, energy and reduce the environmental impact of the sector. It can also be used as a training tool for novice and practical dyers and a decision making aid for seasoned experts as well as management personnel.
机译：要解决全球范围内与纺织品相关的问题，就需要跨学科的专家团队之间的合作，必须认识到一部分的干扰会影响许多其他方面。例如，由于大量的交互变量会影响该过程，因此解决着色行业中的问题可能非常耗时且极具挑战性。此外，人们日益认识到，该行业面临的复杂问题超出了当地专家的能力，而且解决各种挑战的专业知识基础正在减少。利用称为专家系统的人工智能领域可以帮助更有效，更经济地解决纺织行业中的许多问题。因此，本研究的目的是开发一种基于知识的诊断专家系统（ES）解决聚酯材料作为最广泛使用的合成纤维的着色问题。这分四个阶段完成：选择合适的ES开发工具，获取知识，设计和开发合适的模块以及最后对系统进行测试和评估。选择基于Windows版本的C语言集成生产系统（wxfuzzyCLIPS：版本1.64）作为开发外壳。对使用各种类型的分散染料并采用不同的染色方法和机器对纱线，针织物和机织织物形式的聚酯进行染色时最常见的问题进行了综述。此外，与来自多个国家的50多位着色专家进行了联系，并被要求参加电子技术调查，其中有14位着色专家（具有6至45年的行业和/或学术经验）对此做出了回应。此外，文献中报道的知识已整合到该数据库中。开发系统的知识库之后，将使用人工专家以及案例研究对其进行验证，确认和评估。验证和验证过程涉及各种模块的调试，测试和评估。评估是基于人类专家和专家系统通过几个有缺陷的染色样本的比较性能得出的。该系统应在工业环境中进行理想的测试，以确保达到令人满意的性能，这已得到数位人类专家的验证。与人类专家相比，测试和评估的结果证明了该系统的良好性能。该系统是诊断与聚酯着色有关的问题的有力工具，可以节省时间，能源并减少该部门对环境的影响。它也可以用作新手和实用染色师的培训工具，以及经验丰富的专家和管理人员的决策帮助。

著录项

  • 作者

    Shim, Woo Sub.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Textile Technology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 509 p.
  • 总页数 509
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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