图书情报知识 ›› 2016, Vol. 0 ›› Issue (3): 4-128.doi: 10.13366/j.dik.2016.03.004

• 博士论坛 •    下一篇

工程化与平行化的融合:大数据时代下的应急决策情报服务构思

李阳,李纲   

  • 出版日期:2016-05-10 发布日期:2016-05-10

Integration of Intelligence Engineering and Intelligence Parallelization: the Conception of Emergency Decision-making Intelligence Service in the Era of Big Data

  • Online:2016-05-10 Published:2016-05-10

摘要:

快速响应情报服务体系是现阶段情报学研究的重要内容,为了满足大数据环境下的突发事件应急决策情报需求,提升应急决策情报支持能力,文章试图探索一种新的应急决策情报支持架构——以情报工程化为主导、情报平行化为支撑的“两融合”应急决策情报服务模式。在此架构下,应急数据资源、应急工具方法与应急专家智慧按照情报工程化模式完成整个情报工作流程,实现突发事件的协同应对;与此同时,突发事件各情报要素相互连接,并被智能化处理,人工应急情报世界与实际应急情报世界平行执行,互动与互补,实现突发事件情景的自动推演、研判与展示,指导应急决策和行动。“两融合”模式有利于打破多情报源与多应急决策主体之间“域”的限制,实现情报引导、实时交互的智慧型应急决策模式,可为现阶段我国构建情报灵、判断准、反应快的应急决策情报体系提供新的思路。

关键词: 情报, 平行情报, 情报工程, 情报服务, 应急决策, 智慧城市, 情报体系, 大数据

Abstract:

Quick response intelligence service system is an important content of intelligence study at present stage. In order to meet intelligence needs and promote intelligence support ability for emergency decision-making in the big data era, the paper tries to explore new emergency decision-making intelligence support architecture: the mode that integrates intelligence engineering and intelligence parallelization in which the former plays a leading role and the latter plays a supporting role. Under this architecture, data resources, methods and tools, as well as expert wisdom should be in accordance with the intelligence engineering mode to complete the whole process of emergency intelligence work, and reach the goals of resources integration and coordination. At the same time, the essential elements of emergency intelligence are interconnected and be implemented by intelligent processing. The world of artificial and actual emergency intelligence will be interactive and complementary, and it can realize automatic deduction, situation and display, which can guide emergency decision and action. The mode that integrates intelligence engineering and intelligence parallelization can break the limitation of “domain” between intelligence sources and emergency decision-making subjects, for realizing intelligent emergency decision by intelligence guidance and realtime interaction. The paper provides a new idea for the construction of flexible, accurate and quick response emergency decisionmaking intelligence system in our country at present stage.

Keywords: Intelligence, Parallel intelligence, Intelligence engineering, Intelligence service, Emergency decision-making, Smart city, Intelligence system, Big data