计算机工程 ›› 2019, Vol. 45 ›› Issue (1): 284-291.doi: 10.19678/j.issn.1000-3428.0048634

• 开发研究与工程应用 • 上一篇    下一篇

面向智慧商圈的多源数据采集与综合评价系统

王家辉1,过弋1,2,3,文欣秀1,万锋1   

  1. 1.华东理工大学 信息科学与工程学院,上海 200237; 2.石河子大学 信息科学与技术学院,新疆 石河子832007; 3.上海数据交易中心有限公司,上海 200436
  • 收稿日期:2017-09-11 出版日期:2019-01-15 发布日期:2019-01-15
  • 作者简介:王家辉(1995—),男,硕士研究生,主研方向为商业智能、数据挖掘、知识图谱;过弋,教授、博士;文欣秀,讲师、博士;万锋,高级工程师、硕士。
  • 基金项目:

    国家自然科学基金(61462073);上海市科学技术委员会科研计划(17DZ1101003)

Multi-source Data Acquisition and Comprehensive Evaluation System for Intelligent Business District

WANG Jiahui1,GUO Yi1,2,3,WEN Xinxiu1,WAN Feng1   

  1. 1.School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China; 2.College of Information Science and Technology,Shihezi University,Shihezi,Xinjiang 832007,China; 3.Shanghai Data Exchange Corporation,Shanghai 200436,China
  • Received:2017-09-11 Online:2019-01-15 Published:2019-01-15

摘要:

针对智慧商圈建设过程中各类数据需求,设计一个多源数据采集与综合评价系统。利用Pyspider框架采集数据,基于二分思想和多边形规则对采集的数据进行商圈边界探测、商圈内点判定,通过构建一套兴趣点与商圈的映射规则,解决不同数据源对商圈定义不同的问题。利用融合后的数据,从60多个维度进行商圈结构分析和对标分析。实验结果表明,该系统能为各类分析模型提供数据支持,从而为各类商业行为提供决策支撑。

关键词: 智慧商圈, 多源数据, 数据融合, 边界探测, 评价模型

Abstract:

Focusing on the data requirement of intelligent business district’s construction,this paper designs a multi-source data acquisition and comprehensive evaluation system.The system uses the Pyspider framework to collect data.Based on the idea of dichotomy and the rules of polygon,the business district boundary detection and the inner district point determination are conducted and used to set up the mapping rule between Point of Interest(POI) and business district.In this way,the different definition of business district from different data sources can be solved.Furthermore,60 features are extracted from the integrated data to analyze the structure and comparison of business districts.Experimental results show the system can provide data support for various types of analysis models which can provide some decision support for business behaviors.

Key words: intelligent business district, multi-source data, data integration, boundary detection, evaluation model

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