构建面向web 4.0的基于大数据分析和以人为本的人工智能的物联网客户运营分析系统

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent Systems Pub Date : 2022-01-01 DOI:10.1515/jisys-2022-0067
Xinxin Liu, Baojing Liu, Chenye Han, Wei Li
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引用次数: 2

摘要

物联网(IoT)建筑传感器可以捕获多种类型的建筑操作、性能和条件,并将其发送到中央仪表板进行数据分析,以支持决策。传统上,笔记本电脑和手机是主要的互联网连接设备。物联网跟踪通过网络上连接的设备、客户和应用收集和分析各种物联网数据,拉近设备与企业之间的距离。对物联网边缘应用程序的安全性和审批缺乏要求。目前还没有针对物联网事件的最佳操作实践。审计和日志记录需求不包括物联网元素。在本文中,基于大数据分析的客户运营(BDA-CO)系统分析了该操作。随着数据使用量的指数级增长,物联网设备的爆炸式发展反映了大数据增长与物联网的理想重叠。大数据分析不断发展的网络提出了一些关于数据性能、分布、分析和数据收集保护的琐碎问题。物联网几乎改变了建筑行业的所有特征。以人为本的人工智能被描述为由于人类输入而不断改进的系统,同时也在人类和机器人之间提供有效的体验。物联网是确保更高建筑性能的关键因素。这是很长一段时间以来的第一次技术进化,将真正的发明变成了一个严重依赖纸张和手工流程的行业。物联网在建筑中的好处现在明显比目前的手工流程要重得多。因此,越来越多的建筑公司探索并采用物联网战略来应对其生产力挑战,提高效率和利润。仿真分析表明,与现有技术相比,所提出的BDA-CO模型的信任得分提高了98.5%,准确率检测率提高了93.4%,概率率提高了97.6%,安全性提高了98.7%,假阴性率降低了21.3%,响应时间降低了10.5%,延迟率降低了19.9%,丢包率降低了15.4%。
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Construction of an IoT customer operation analysis system based on big data analysis and human-centered artificial intelligence for web 4.0
Abstract Internet of thing (IoT) building sensors can capture several types of building operations, performances, and conditions and send them to a central dashboard to analyze data to support decision-making. Traditionally, laptops and cell phones are the majority of Internet-connected devices. IoT tracking allows customers to close the distance between devices and enterprises by collecting and analyzing various IoT data through connected devices, customers, and applications on the network. There is a lack of requirements for IoT edge applications security and approval. There are no best practices regarding operations focused on IoT incidents. IoT elements are not covered by audit and logging requirements. In this article, a big data analytics-based customer operation (BDA-CO) system analyzes the operation. With the exponential rise in data usage, the explosive development in the IoT devices reflects the ideal overlap of big data growth with IoT. Big data analytics continuously evolving network raises trivial questions about the performance, distribution of data, analysis, and protection of data collection. IoT modifies almost all the construction industry characteristics. Human-centered artificial intelligence is described as systems that always improve because of human input while also delivering an effective experience between the human and the robotic. The IoT is the key factor that ensures greater building performance. It was the first evolution of technology in a long time to turn genuine inventions into an industry that depended heavily on paper and manual processes. The benefits of the IoT in construction are now quite obviously much heavier than those of current manual processes. As a result, more construction companies explore and incorporate IoT strategies to address their productivity challenges, increasing efficiencies and profits. The simulation analysis shows that the proposed BDA-CO model enhances the trust score of 98.5%, accuracy detection ratio of 93.4%, probability ratio of 97.6%, and security ratio of 98.7% and reduces the false negative ratio of 21.3%, response time of 10.5%, delay rate of 19.9%, and packet loss ratio of 15.4% when compared to other existing techniques.
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来源期刊
Journal of Intelligent Systems
Journal of Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
3.30%
发文量
77
审稿时长
51 weeks
期刊介绍: The Journal of Intelligent Systems aims to provide research and review papers, as well as Brief Communications at an interdisciplinary level, with the field of intelligent systems providing the focal point. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. It covers contributions from the social, human and computer sciences to the analysis and application of information technology.
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