基于大数据的分布式社会治理智能系统

doi:10.13328/j.cnki.jos.006455

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基于大数据的分布式社会治理智能系统
DOI:
                        10.13328/j.cnki.jos.006455
                    
CSTR:
                        
                    
作者:
                        吕卫锋吕卫锋
软件开发环境国家重点实验室(北京航空航天大学), 北京 100191;北京航空航天大学 计算机学院, 北京 100191;北京航空航天大学 人工智能研究院, 北京 100191;大数据科学与脑机智能高精尖创新中心(北京航空航天大学), 北京 100191
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郑志明郑志明
软件开发环境国家重点实验室(北京航空航天大学), 北京 100191;北京航空航天大学 人工智能研究院, 北京 100191;北京航空航天大学 数学科学学院, 北京 100191;数学、信息与行为教育部重点实验室(北京航空航天大学), 北京 100191;大数据科学与脑机智能高精尖创新中心(北京航空航天大学), 北京 100191;鹏城实验室, 广东 深圳 518055
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童咏昕童咏昕
软件开发环境国家重点实验室(北京航空航天大学), 北京 100191;北京航空航天大学 计算机学院, 北京 100191;大数据科学与脑机智能高精尖创新中心(北京航空航天大学), 北京 100191
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张瑞升张瑞升
软件开发环境国家重点实验室(北京航空航天大学), 北京 100191;北京航空航天大学 计算机学院, 北京 100191;大数据科学与脑机智能高精尖创新中心(北京航空航天大学), 北京 100191
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魏淑越魏淑越
软件开发环境国家重点实验室(北京航空航天大学), 北京 100191;北京航空航天大学 计算机学院, 北京 100191;大数据科学与脑机智能高精尖创新中心(北京航空航天大学), 北京 100191
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李卫华李卫华
软件开发环境国家重点实验室(北京航空航天大学), 北京 100191;北京航空航天大学 数学科学学院, 北京 100191;数学、信息与行为教育部重点实验室(北京航空航天大学), 北京 100191;鹏城实验室, 广东 深圳 518055
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作者单位:
作者简介:吕卫锋(1972-),男,博士,教授,博士生导师,CCF专业会员,主要研究领域为时空大数据分析处理,智慧城市,众包计算,群体智能;
张瑞升(1998-),男,硕士生,主要研究领域为联邦学习,时空大数据分析处理,群体智能,隐私保护;
郑志明(1953-),男,博士,教授,博士生导师,中国科学院院士,CCF会士,主要研究领域为动力系统,群体智能,区块链,网络信息安全;
魏淑越(1998-),男,硕士生,CCF学生会员,主要研究领域为时空大数据分析处理,群体智能,激励机制,隐私保护;
童咏昕(1982-),男,博士,教授,博士生导师,CCF高级会员,主要研究领域为联邦学习,时空大数据分析处理,智慧城市,众包计算,群体智能,隐私保护;
李卫华(1989-),男,博士,讲师,主要研究领域为复杂系统,网络科学,群体智能,计算社会学,大数据科学及建模.
通讯作者:童咏昕,E-mail:yxtong@buaa.edu.cn
中图分类号:
基金项目:国家重点研发计划（2018AAA0102300）；国家自然科学基金（61822201，U1811463，62076017）；CCF-华为数据库创新研究计划（CCF-HuaweiDBIR2020008B）；软件开发环境国家重点实验室（北京航空航天大学）开放课题（SKLSDE-2020ZX-07）

Intelligent System for Distributed Social Governance Based on Big Data

Author:

Lü Wei-Feng
Lü Wei-Feng
State Key Laboratory of Software Development Enviroment (Beihang University), Beijing 100191, China;School of Computer Science and Engineering, Beihang University, Beijing 100191, China;Institute of Artficial Intelligence, Beihang University, Beijing 100191, China;Advanced Innovation Center for Big Data and Brain Computing (Beihang University), Beijing 100191, China
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ZHENG Zhi-Ming
ZHENG Zhi-Ming
State Key Laboratory of Software Development Enviroment (Beihang University), Beijing 100191, China;Institute of Artficial Intelligence, Beihang University, Beijing 100191, China;School of Mathematics Sciences, Beihang University, Beijing 100191, China;Key Laboratory of Mathematics, Informatics and Behavioral Semantics (Beihang University), Ministry of Education, Beijing 100191, China;Advanced Innovation Center for Big Data and Brain Computing (Beihang University), Beijing 100191, China;Peng Cheng Laboratory, Shenzhen 518055, China
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TONG Yong-Xin
TONG Yong-Xin
State Key Laboratory of Software Development Enviroment (Beihang University), Beijing 100191, China;School of Computer Science and Engineering, Beihang University, Beijing 100191, China;Advanced Innovation Center for Big Data and Brain Computing (Beihang University), Beijing 100191, China
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ZHANG Rui-Sheng
ZHANG Rui-Sheng
State Key Laboratory of Software Development Enviroment (Beihang University), Beijing 100191, China;School of Computer Science and Engineering, Beihang University, Beijing 100191, China;Advanced Innovation Center for Big Data and Brain Computing (Beihang University), Beijing 100191, China
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WEI Shu-Yue
WEI Shu-Yue
State Key Laboratory of Software Development Enviroment (Beihang University), Beijing 100191, China;School of Computer Science and Engineering, Beihang University, Beijing 100191, China;Advanced Innovation Center for Big Data and Brain Computing (Beihang University), Beijing 100191, China
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LI Wei-Hua
LI Wei-Hua
State Key Laboratory of Software Development Enviroment (Beihang University), Beijing 100191, China;School of Mathematics Sciences, Beihang University, Beijing 100191, China;Key Laboratory of Mathematics, Informatics and Behavioral Semantics (Beihang University), Ministry of Education, Beijing 100191, China;Peng Cheng Laboratory, Shenzhen 518055, China
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摘要:

近年来，推动社会治理的协同化、智能化，完善共建共治共享的社会治理制度，是国家的重要发展方向.数据作为一种生产要素，在社会治理中起着愈发关键的作用.如何实现多方海量数据的安全查询、协同管理、智能分析，是提升社会治理效果的关键问题.在新冠疫情防控等重大公共事件中，分布式社会治理面临着安全计算效率低、多方可信协同差、复杂任务决策难的三大挑战.针对以上挑战，基于安全多方计算、区块链技术与精准智能理论，提出了一种基于大数据的分布式社会治理智能系统.所提出的系统能够支撑社会治理的各类应用，为新时代社会治理水平的提升提供决策支撑.

关键词:社会治理;大数据系统;区块链;精准智能;分布式系统

Abstract:

In recent years, promoting the synergy and intelligence of social governance, and improving the social governance system of co-construction, co-governance and sharing are important development directions for the country. As a production factor, data plays an increasingly critical role in social governance. How to realize the secure query, collaborative management, and intelligent analysis of multi-party massive data is the key issue to improve the effectiveness of social governance. In major public events such as the prevention and control of the COVID-19, distributed social governance faces low computing efficiency, poor multi-party credible coordination, and difficult decision-making for complex tasks. In response to the above challenges, this study proposes on big data based distributed social governance intelligent system based on secure multi-party computing, blockchain technology, and precise intelligence theory. The proposed system can support various applications of social governance that provide decision-making support for the improvement of social governance in the new era.

Key words:social governance;big data system;blockchain;refined intelligence;distributed system

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引用本文

吕卫锋,郑志明,童咏昕,张瑞升,魏淑越,李卫华.基于大数据的分布式社会治理智能系统.软件学报,2022,33(3):931-949

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收稿日期:2021-06-30
最后修改日期:2021-07-31
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在线发布日期: 2021-10-21
出版日期: 2022-03-06

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