A Novel Framework of an IOT-Blockchain-Based Intelligent System

A. Alabdali
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引用次数: 3

Abstract

With the growing need of technology into varied fields, dependency is getting directly proportional to ease of user-friendly smart systems. The advent of artificial intelligence in these smart systems has made our lives easier. Several Internet of Things- (IoT-) based smart refrigerator systems are emerging which support self-monitoring of contents, but the systems lack to achieve the optimized run time and data security. Therefore, in this research, a novel design is implemented with the hardware level of integration of equipment with a more sophisticated software design. It was attempted to design a new smart refrigerator system, which has the capability of automatic self-checking and self-purchasing, by integrating smart mobile device applications and IoT technology with minimal human intervention carried through Blynk application on a mobile phone. The proposed system automatically makes periodic checks and then waits for the owner’s decision to either allow the system to repurchase these products via Ethernet or reject the purchase option. The paper also discussed the machine level integration with artificial intelligence by considering several features and implemented state-of-the-art machine learning classifiers to give automatic decisions. The blockchain technology is cohesively combined to store and propagate data for the sake of data security and privacy concerns. In combination with IoT devices, machine learning, and blockchain technology, the proposed model of the paper can provide a more comprehensive and valuable feedback-driven system. The experiments have been performed and evaluated using several information retrieval metrics using visualization tools. Therefore, our proposed intelligent system will save effort, time, and money which helps us to have an easier, faster, and healthier lifestyle.
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基于物联网-区块链的智能系统新框架
随着技术对各个领域的需求不断增长,对用户友好的智能系统的依赖程度与易用性成正比。这些智能系统中人工智能的出现使我们的生活变得更容易。一些基于物联网(IoT)的智能冰箱系统正在兴起,这些系统支持内容的自我监控,但系统缺乏优化的运行时间和数据安全性。因此,在本研究中,采用一种新颖的设计,将硬件层面的设备与更复杂的软件设计相结合。试图通过手机上的Blynk应用程序,将智能移动设备应用和物联网技术相结合,以最小的人为干预,设计一种具有自动自检和自购能力的新型智能冰箱系统。所建议的系统自动进行定期检查,然后等待所有者的决定,允许系统通过以太网重新购买这些产品或拒绝购买选项。本文还讨论了机器级与人工智能的集成,考虑了几个特征,并实现了最先进的机器学习分类器来给出自动决策。为了数据安全和隐私考虑,区块链技术被紧密地结合起来存储和传播数据。结合物联网设备、机器学习和区块链技术,本文提出的模型可以提供一个更全面、更有价值的反馈驱动系统。实验已经执行和评估使用几个信息检索指标使用可视化工具。因此,我们提出的智能系统将节省精力、时间和金钱,帮助我们拥有更轻松、更快、更健康的生活方式。
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