摘要
利用传染病预警技术和系统来监测传染病异常暴发趋势并及时准确预警,是传染病早期防控的关键。现行传染病预警系统尚存在智能化程度不足、关键信息流通不畅和分布式协同决策困难等问题。基于区块链分布式计算架构,结合人工智能、大数据和智能合约等新兴信息技术,提出了一种传染病监测与预警技术及其实现框架。该技术可高效集中多方监测力量,灵活集成多种预警手段,在安全和保护隐私的前提下构建知识集成和智慧互联的分布式协同监测环境,并以智能合约作为公开公正的、软件定义的监测代理来实时融合决策、监测疫情和自动预警,从而兼顾预警准确性与及时性要求,避免孤证和决策偏差。
The key of early prevention and control of infectious diseases is to use the early warning technology and system to monitor the abnormal occurrence and trend of infectious diseases. There are still some problems in the existing infectious diseases automated-alert and response systems, such as lack of intelligence, poor efficiency in exchange of key information, as well as difficulties in distributed decision-making. Based on the distributed blockchain architecture, a novel blockchain-based surveillance and early-warning technology for infectious diseases was proposed, leveraging emerging information technologies including artificial intelligence, big data and smart contract. The technology could aggregate monitoring forces from multiple parties efficiently, integrate various early warning technologies flexibly, and establish a distributed and collaborative monitoring environment for knowledge integration and intelligent interconnection with guaranteed security and privacy protection. In this framework, smart contract was served as a "software-defined agent" to fuse decisions, monitor the outbreak, and issue warnings in an automatic and real-time fashion, so as to meet the key requirements of accuracy and timeliness, and avoid the decision bias of single evidence.
作者
欧阳丽炜
袁勇
郑心湖
张俊
王飞跃
OUYANG Liwei;YUAN Yong;ZHENG Xinhu;ZHANG Jun;WANG Fei-Yue(School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Electrical Computer Engineering,Colorado State University,Fort Collins CO 80523,USA;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China;Qingdao Academy of Intelligent Industries,Qingdao 266109,China)
出处
《智能科学与技术学报》
2020年第2期135-143,共9页
Chinese Journal of Intelligent Science and Technology
基金
国家重点研发计划基金资助项目(No.2018AAA0101401)
国家自然科学基金资助项目(No.61533019,No.71702182)
关键词
区块链
智能合约
人工智能
传染病监测
分布式协作
blockchain
smart contract
artificial intelligence
infectious diseases surveillance
distributed collaboration
作者简介
通信作者:欧阳丽炜(1996-),女,中国科学院自动化研究所复杂系统管理与控制国家重点实验室硕士生,主要研究方向为社会计算、区块链和智能合约。ouyangliwei2018@ia.ac.cn;袁勇(1980−),男,博士,中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员,主要研究方向为区块链、商务智能、计算广告学。;郑心湖(1987−),男,科罗拉多州立大学电子计算机工程学院博士生,主要研究方向为社会计算、机器学习、数据分析。;张俊(1981−),男,博士,武汉大学电气与自动化学院教授,主要研究方向为智能系统、人工智能、知识自动化及其在智能电力和能源系统中的应用。;王飞跃(1961−),男,博士,中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任,中国科学院大学中国经济与社会安全研究中心主任,青岛智能产业技术研究院院长,主要研究方向为平行系统的方法与应用、社会计算、平行智能以及知识自动化。
