| 摘 要: 针对工业互联网云平台中不同子系统数据割裂和隐私保护问题,文章提出基于Bubble-Skyline算法的解决方案,该方案包括数据收集模块、数据预处理模块、数据分析建模模块。在数据收集模块和数据预处理模块中使用协议加密和哈希映射转化表,安全地传输与整合不同系统之间的数据;在数据分析模块中使用Bubble-Skyline算法获得最优解。采用某工厂的历史数据验证表明,在工厂排产中,该方案能够在保护数据隐私的同时优化排产方案,平均生产时间减少了17.15%。 |
| 关键词: 智能制造;云平台;Bubble-Skyline;数据割裂 |
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中图分类号: TP311.5
文献标识码: A
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| Research on Data Privacy Protection in Intelligent Cloud Platform Based on Differential Privacy Skyline Algorithm |
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ZHOU Kailian, BAO Min
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(College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China)
2415699291@qq.com; mbao@zstu.edu.cn
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| Abstract: Aiming at issues of data fragmentation and privacy protection in different subsystems of the industrial internet cloud platform, this paper proposes a solution based on the Bubble-Skyline algorithm, which includes data collection module, data preprocessing module, and data analysis modeling module. Protocol encryption and Hash Map conversion table are used in the data collection module and data preprocessing module to securely transmit and integrate data between different systems. The Bubble-Skyline algorithm is used in the data analysis module to obtain optimal solutions. The validation of the historical data from a certain factory shows that the solution can optimize the scheduling scheme while protecting the data privacy, and it reduces the average production time by 17.15% . |
| Keywords: intelligent manufacturing; cloud platform; Bubble-Skyline; data fragmentation |
