Tourism safety monitoring information service system based on internet of things and block-chain

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Lei Peng, Yan Chen
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引用次数: 3

Abstract

Tourism safety is the lifeblood of national tourism development, and tourism safety information monitoring is an important foundation for tourism safety management. The maturity of Internet information technology has led to the rapid rise of blockchain and the Internet of Things. In essence, the blockchain is a shared database. The Internet of Things can access all kinds of necessary information through various networks, such as heat, electricity, dynamics, chemistry, biology, realize the ubiquitous connection between things and people, and realize the recognition and intelligent perception of objects. This article aims to study a tourism safety monitoring information service system based on the Internet of Things and blockchain. This paper uses the principle of sensor ranging and electromagnetic induction, acoustic calculation, sensor calculation, and RFID tag distance to measure the real-time position of the person’s RFID tag information and continuous monitoring information of infrasound intensity to monitor and pre-warn natural disasters in the scenic area. Research results, it shows that this system can monitor disaster information in time and can effectively reduce the risk of injury by 10% –20% of tourists.
基于物联网和区块链的旅游安全监测信息服务系统
旅游安全是国家旅游发展的命脉,旅游安全信息监测是旅游安全管理的重要基础。互联网信息技术的成熟,使得区块链和物联网迅速崛起。实际上,区块链是一个共享数据库。物联网可以通过热、电、动力、化学、生物等各种网络获取各种必要的信息,实现物与人之间无所不在的联系,实现对物体的识别和智能感知。本文旨在研究一种基于物联网和区块链的旅游安全监测信息服务系统。本文利用传感器测距和电磁感应、声学计算、传感器计算、RFID标签距离等原理,测量人的RFID标签信息的实时位置和次声强度的连续监测信息,对景区自然灾害进行监测预警。研究结果表明,该系统能够及时监测灾害信息,有效降低游客受伤风险10% -20%。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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