| 摘要: |
| 目的 研究工业设计云创新的发展现状和未来趋势。方法 提出假设， 假定与云创新密切相关的若干关键指标， 即广义设计师与设计主题之间的交互数量与交互频率近年来呈现上升态势。基于超图理论和超网络模型， 借助模型中的关联矩阵， 提出用以表征工业设计云创新发展状况的定量化表征函数， 作为统计分析的统计量。基于数据挖掘的思想， 使用网络爬虫工具对互联网虚拟设计社区进行数据采集， 并结构化存储在关系型数据库中。利用SQL等计算机编程语言对结构化的数据进行处理和统计量计算， 绘制出表征函数与年份的XY散点图， 并对表征函数与年份作相关分析， 根据分析结果来验证假设成立。结论 指出工业设计云创新近年来的发展优势和不足， 并提出开发一种开放式工业设计云网络平台的建议。 |
| 关键词: 工业设计 云创新 数据挖掘 虚拟设计社区 超网络模型 超图 假设检验 相关分析 |
| DOI： |
| 分类号:TB472 |
| 基金项目:国家自然科学基金资助项目 （No.51175183） |
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| Evaluation Model of Automobile Design Scheme Based on Analytic Hierarchy Process |
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JING Guang-chao, JIANG Li-jun, DENG Xue-xiong, LI Zhe-lin, YANG Qiang
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South China University of Technology，Guangzhou 510006，China
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| Abstract: |
| Objective To study the development status and future trend of cloud innovation for industry design.Methods As key indicators for cloud innovation，the interaction number and interaction frequency between generaldesigners and design themes are hypothesized to be ascending. Based on the theory of hyper-graph and incidence matrix inhyper-network model，quantitative characterization functions are formulated as statistics for the development of cloudinnovation.Based on the ideology of data mining， the data is captured from one of the virtual design communities on theinternet through the tool of web crawler， and stored in a relational database as structuring data.Computer programminglanguages such as SQL are used to process the structuring data and calculate the statistics.XY scatter plot forcharacterization function and year is drawn， and correlation analysis between characterization function and year is carriedout to verify the hypotheses. Conclusion It pointed out the development advantages and disadvantages of cloud innovationfor in recent years，and an open industry design cloud network platform was put forward. |
| Key words: industry design cloud innovation data mining virtual design community hyper-network model hyper-graph hypotheses verification correlation analysis |
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