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Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology

机译：基于大数据和3D技术的艺术与工艺快速设计系统优化

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摘要

In this paper, to solve the problem of slow design of arts and crafts and to improve design efficiency and aesthetics, the existing big data and 3D technology are used to conduct an in-depth analysis of the optimization of the rapid design system of arts and crafts machine salt baking. In the system requirement analysis, the functional modules of this system are identified as nine functional modules such as design terminology management system and external information import function according to the actual usage requirements. In the system design, the overall structure design, database design, and functional module design of the system are comprehensively elaborated, and the key issues such as 3D display and home layout generation algorithm based on reinforcement learning are analyzed and designed. In the implementation part of the system, the overall construction of the system and the composition of functional modules are introduced in detail and the main functional modules of the system are presented with interface diagrams. In the system implementation part, the overall system construction and functional module composition are introduced in detail, the main functional modules of the system are shown with interface diagrams, codes, and algorithms, and the specific implementation process of 3D display and soft layout algorithms are also explained in detail. The process of Surface Mount Technology (SMT) big data processing and analysis is designed, and the design of SMT production line data collection scheme and real-time data processing architecture is completed. Based on the characteristics of SMT production line data, the K-means algorithm is used to detect data outliers and verify the accuracy of the method; also, the Spark-based association rule printing parameter recommendation model is designed, and the efficiency of the Apriori algorithm is significantly improved by parallelization.
机译：在本文中，为解决工艺品慢设计的问题，并提高设计效率和美观，现有的大数据和3D技术被用来进行艺术的快速设计系统的优化进行了深入的分析和工艺品机盐烘烤。在该系统中需求分析，该系统的功能模块被识别为9的功能模块，例如设计术语管理系统和根据实际使用要求的外部信息输入功能。在系统设计，整体结构设计，数据库设计，以及系统的功能模块设计中全面阐述，以及诸如3D显示与基于强化学习的家居布置生成算法的关键问题进行了分析和设计。在该系统的实施部分中，系统的总体结构和功能模块的组合物进行了详细介绍和该系统的主要功能模块都带有界面的图。在该系统中实现部分，整个系统结构与功能模块组合物进行了详细的介绍，该系统的主要功能模块被示为具有接口图表，代码，和算法，和3D显示的具体实施过程和软布局算法是还详细说明。表面贴装技术（SMT）的大数据处理和分析的过程设计，并完成SMT生产线数据采集方案和实时数据处理架构的设计。基于SMT生产线数据的特点，K-means算法用于检测数据的异常值，并验证该方法的准确性;此外，基于火花关联规则印刷参数推荐模型被设计，并Apriori算法的效率是由并行化显著改善。

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  • 作者

    Haihan Zhou;

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  • 年度 2021
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  • 原文格式 PDF
  • 正文语种 eng
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