作品简介
工业大数据分析与知识图谱作为人工智能领域的核心技术，已经成为当前学术研究和工程应用的焦点，受到越来越多的关注。本书从技术和实践的角度，为读者阐述工业大数据分析和知识图谱的核心技术及其实践应用。
本书内容分为三篇。第一篇以物联网数据为基础，围绕工业大数据技术的“虚实融合”的CPS核心内容，开展数据治理、数据分析、数据平台的相关阐述，揭示数据驱动的生产系统优化模式；第二篇以人（社会网）机（互联网）物（物联网）数据为基础，围绕人工智能先进技术即知识图谱，探讨知识发现、知识图谱构建、知识服务、工业智能制造及知识服务平台等核心关键技术，为企业向智能制造的转型升级提供知识驱动的智慧共享的创新模式；第三篇基于前两篇的关键技术创新，开展重点行业、重点领域的典型场景应用，围绕钢铁、民用航空、电气等国民经济支柱行业，聚焦节能潜力分析、设备健康管理及预测性维护、知识组织管理等重点领域，开展应用实践工作。
本书可以作为计算机科学、电子与信息工程、控制科学与工程等学科的教学与科研用书，以及企业技术人员的参考书。
王坚，戴毅茹，凌卫青编著。
Introduction of works
As the core technology in the field of artificial intelligence, industrial big data analysis and knowledge graph have become the focus of current academic research and engineering applications, and have received more and more attention. From a technical and practical perspective, this book explains the core technologies and practical applications of industrial big data analysis and knowledge graph.
The book is divided into three parts. The first part is based on the Internet of Things data and focuses on the CPS core content of "virtual-real integration" of industrial big data technology, to carry out the relevant explanation of data governance, data analysis and data platform, and reveal the data-driven production system optimization model; The second part is based on the data of human (social network) machine (Internet) and things (Internet of Things), and focuses on the advanced technology of artificial intelligence (AI), namely knowledge graph, to discuss the core key technologies such as knowledge discovery, knowledge graph construction, knowledge service, industrial intelligent manufacturing and knowledge service platform, so as to provide the innovation mode of knowledge-driven wisdom sharing for the transformation and upgrading of enterprises to intelligent manufacturing. The third part, based on the key technological innovation of the first two parts, carries out typical application scenarios in key industries and key fields, focusing on key areas such as energy saving potential analysis, equipment health management and predictive maintenance, and knowledge organization management, etc., focusing on steel, civil aviation, electrical and other pillar industries of the national economy.
This book can be used as a teaching and research book for computer science, electronic and information engineering, control science and engineering and other disciplines, as well as a reference book for enterprise technical personnel.
Wang Jian, Dai Yiru and Ling Weiqing.
热门标签
书单推荐