The Development Trend of International Economy and Commercial Industry Based on the Analysis of Internet of Things Technology

Author(s):  
Ping Wang
2014 ◽  
Vol 687-691 ◽  
pp. 2280-2283
Author(s):  
Yi Fei Zhang ◽  
Yu Huan Ji

The development of internet of things in recent years is firstly introduced in this paper, it points out that the internet of things has been used extensively in multi-domain not only because height attention in many countries, but also because of the high-speed development of technology. After that, the emphasis of this paper is to expound and analyze the actual applications of internet of things in several specific areas of social production and life nowadays. Finally, this paper points out the strengths of internet of things development in china, and looks forward to the development trend of internet of things and the life vision in the future.


2019 ◽  
Vol 2 (3) ◽  
pp. p10
Author(s):  
Liping Zhi ◽  
Zhao Sijia

Based on patent database, this article conducts patent analysis from patent applications, IPC technical field distribution, the main research institutions of the Internet of Things to reveal the development trend, technical hotspots, leading enterprises, technology leaders, also maps current technology patents, and access to essential strategic information and innovation. The results put forward suggestions on development and utilization of the Internet of Things.


2013 ◽  
Vol 694-697 ◽  
pp. 2471-2475
Author(s):  
Ming Yu Jia ◽  
Qiu Hong Gao

In order to speed up the integration of industrialization and informatization in China, to promote the transformation and upgrading of enterprises. This article introduces the project of manufacturing informatization based on internet of things (IOT), analyzes the development of IOT technology, expounds the application of IOT in informatization development, and points out the development trend of manufacturing informatization in China based on IOT.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhaoyang Wu ◽  
Shiyong Wang ◽  
Hong Yang ◽  
Xiaokui Zhao

In recent years, with the rapid development of the global economy and the development trend of more and more stable, well-developed network communications, online shopping has become an increasingly common way; as a result, the logistics industry has emerged from many industries and has become one of the most popular industries. However, due to the extensive involvement of the logistics industry, the overly complex technology, and the huge amount of data and information, the security of logistics has become one of the hot topics of special concern. Based on the background of an intelligent environment, this paper constructs a supply chain financial logistics supervision system based on Internet of Things technology. This article refers to the research experience of previous scholars, briefly introduces the theoretical knowledge of the Internet of Things technology, smart environment, and supply chain finance, and makes a certain analysis of the logistics supervision system. We collect and calculate logistics data through the wolf group hunting and siege formula in the wolf group algorithm and analyze the application performance of the logistics supervision system in reality. Then, we briefly designed the system architecture diagram of the logistics supervision system and compared the freight situation of the logistics supervision system before and after and statistics on the deployment of the logistics supervision system in customs, docks, airports, stations, and other places from 2015 to 2019. Finally, a comparative analysis of the performance of wolf pack algorithm and other algorithms was performed under different path planning. The final result shows that the logistics supervision system has important practical value in the logistics industry; in addition, the deployment of logistics supervision systems in customs, terminals, and other places has increased year by year from 2015 to 2019.


2013 ◽  
Vol 860-863 ◽  
pp. 2929-2935
Author(s):  
Hui Dan Lin ◽  
Geng Jun Gao

The technology of Internet of things would realize information transfer and sharing of global cargos and represent the development trend of future network, which at the same time will become the important foundation of economic development, social progress and scientific and technological innovation. Combined with the characteristics of the logistics industry of dangerous chemical cargoes this paper analyzes the key requirements of the transportation process and on this basis, it also tries to apply the technology of Internet of things on monitoring the process of logistics of dangerous chemical cargoes. In this reason, the paper designs the corresponding framework and its safety monitoring management information platform on its transportation process in order to give some hinder for safety and work efficiency of the logistics of dangerous chemical cargoes.


2021 ◽  
Vol 2074 (1) ◽  
pp. 012070
Author(s):  
Bingkai Huang

Abstract With the development of information network technology, online shopping has become more and more accepted and chosen by people, the demand for logistics and express delivery industry is also increasing. In today’s e-commerce era, the global logistics industry has a new development trend, called modern logistics. In modern logistics, the requirements for the important link of warehouse logistics and distribution are also increasing. The goal of supply chain management is to achieve maximum operational efficiency while minimizing capital investment, which is of great significance for e-logistics distribution. Based on this, this paper explores the application of Internet of Things technology in the supply chain management of e-logistics.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lina Sun ◽  
Mingzhi Li

With the support of big data and information technology, various sectors such as sports, health, and medical industry can realize the integration and readjustment of the existing resources, which improve the operation efficiency of the industry and tap its huge potential. With the advancement in big data analysis, voice features, and Internet of Things (IoT), personalized health management is becoming the development trend and breakthrough of sports and health industry. The application of big data will tap out the huge potential of the sports and health industry. In this paper, we have used the Mel-requency cepstrum coefficient as the speech feature processing method. When the linear frequency is transformed to the Mel frequency by Fourier transform, the calculation accuracy will decrease with the increase in the frequency, and the low-frequency signal will be retained to improve the anti-noise ability. With further study of the voice feature processing and IoT model of big data’s sports and health management, a vector addition regression was developed to compare the two real scoring features of the processing results that pave the way for further analysis and result evaluation. Through experimental verification, it is proved that the method in this paper can better learn the speech features. At the same time, with the introduction of noise reduction, the big data of speech recognition in sports health management has a stronger robustness and improves the overall system performance.


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