Financial Big Data Based on Internet of Things and Wireless Network Communication

With the advent of the era of big data, Internet of things technology and wireless communication technology have been in a state of rapid development. Opportunities and challenges in all walks of life are being subverted. Financial management, as the foundation of corporate governance, is important for improving economic efficiency and achieving sustainable business development which plays an important role. In order to realize the management and classification of financial big data, better identify the financial data of different enterprises, strengthen the safe storage of financial information, and provide early warning for the security issues involved, this article is based on the Internet of things and wireless communication networks. In the method part, this article introduces the framework of the Internet of things, Bluetooth, and infrared data transmission in wireless network communication and the principles of financial big data. The algorithm introduces a single-user MIMO system, free space propagation, and spectrum and energy efficiency. The analysis part analyzes the spectrum efficiency of different algorithms, social utility, average number of retransmissions, comprehensive scores of competitiveness in various fields of the Internet of things, and the significance of financial indicators. By comparing the data, it can be seen that the algorithm in this paper is superior to the two algorithms of IAN-CoMP and IA-CoMP. When the number of users is 100, the social utility of the algorithm in this paper is 4.45, while IAN-CoMP is 3.43 and IA-CoMP is 3.67. When the number of users increases to 700, the social utility of the algorithm in this paper is 28.34. The other two algorithms are, respectively, 24.45 and 25.99, and we know that the social utility of the algorithm in this paper is the best. Through comprehensive analysis, it is concluded that the financial big data model based on the Internet of things and wireless network communication in this paper can better realize data management and collection, so as to meet the needs of information developers.

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Design and Analysis of Bridge Inspection System Based on Wireless Communication and Internet of Things Technology

Wireless Communications and Mobile Computing ◽

10.1155/2021/3410844 ◽

2021 ◽

Vol 2021 ◽

pp. 1-5

Author(s):

Haidong Sun ◽

Zhengtao Zhang ◽

Peng Li

Keyword(s):

Big Data ◽

Internet Of Things ◽

Wireless Communication ◽

The Internet ◽

Inspection System ◽

Bridge Inspection ◽

Inspection Systems ◽

Inspection Data ◽

Internet Of Things Technology ◽

The Internet Of Things

The continuous development of information technology and various electronic devices has accelerated the process of informatization and digitization, enabling the development and application of the emerging technology of wireless communication and the Internet of Things. Since the continuous occurrence of vicious bridge collapse accidents in China in recent years, the problem of bridge inspection has become a hot topic among the people. At the same time, how to apply wireless communication and the Internet of Things technology to bridge inspection systems has also become a new research topic. This article mainly studies the design and analysis of bridge detection systems based on wireless communication and Internet of Things technology. In order to expand the field of bridge detection and standard management and improve the credibility and reliability of safety problem prediction and evaluation, the bridge detection system will integrate IoT sensing, internet, remote communication, digital signal analysis and processing, big data knowledge mining, big data prediction and other technologies, design and analysis of the main structure of roads and bridges, and other multifaceted knowledge fields and build a professional intelligent digital network based on bridge inspection data collection, monitoring, analysis, evaluation, and early warning. From design to use and maintenance of the bridge, a digital neural network spanning time and space throughout the life cycle is constructed to construct a digital brain with bridge sensing points as neurons. This paper uses high-power infrared sensor equipment, satellite positioning systems, sensor equipment, and other technical equipment to achieve the purpose of data communication and exchange and realize intelligent positioning, identification, supervision, tracking, and other functions, making the wireless communication and Internet of Things reliable transmission, comprehensive perception, intelligent processing, and other capabilities very effective in the field of bridge inspection. Through the research and analysis of this article, there are more and more bridge inspection systems developed by the Internet of Things and wireless communication technology in China, and the percentage of related equipment used can reach more than 90%. The functions of the bridge inspection system are becoming more and more complete, and the results of the inspection data are also increasing.

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Information Security Terminal Architecture of Power Transportation Mobile Internet of Things Based on Big Data Analysis

Wireless Communications and Mobile Computing ◽

10.1155/2021/5544716 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Xianzhi Tang ◽

Chunyan Ding

Keyword(s):

Big Data ◽

Data Analysis ◽

Information Security ◽

Internet Of Things ◽

Power System ◽

Big Data Analysis ◽

The Internet ◽

Mobile Information ◽

Internet Of Things Technology ◽

The Internet Of Things

The progress of the social economy and the rapid development of the power field have created more favorable conditions for the construction of my country’s power grid. In this network age, how to further realize the connection between the power system and the Internet of Things is the key content of many scholars’ research. In the Internet of Things environment, there have been many excellent results in the collection, storage, and management of electric power big data, but the problem of information security has not been completely solved. Based on big data analysis and Internet of Things technology, this paper studies the architecture design of power information security terminals. In view of the diverse types of power grid mobile information and the large amount of data, this paper designs a power transportation mobile information security management system structure, which improves the effective management of power data by the system through big data, smart sensors, and wireless communication technology. According to the experiment, the power information security terminal constructed in this paper can effectively reduce communication resources and save communication costs in the process of aggregating multidimensional data. In the user satisfaction survey, residents’ satisfaction with the convenience and safety of the intelligent power system is also as high as 9.312 and 9.233. On the whole, the application of big data and Internet of Things technology to the construction of power information security terminals can indeed improve the service efficiency of power companies under the premise of ensuring safety and allow users to have a better experience.

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Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things

The Internet of Things in the Modern Business Environment - Advances in E-Business Research ◽

10.4018/978-1-5225-2104-4.ch013 ◽

2017 ◽

pp. 249-268 ◽

Cited By ~ 1

Author(s):

Javier Vidal-García ◽

Marta Vidal ◽

Rafael Hernandez Barros

Keyword(s):

Big Data ◽

Internet Of Things ◽

Business Intelligence ◽

The Internet ◽

Self Assessment ◽

Business Decisions ◽

Business Operations ◽

Large Databases ◽

The Social ◽

The Internet Of Things

The evolution of the big data and new techniques related to the processing and analysis of large databases is revolutionizing the management of companies in the age of the Internet of Things (IoT). In this chapter, we examine the possibilities of big data to improve the services offered by companies and the customer experience and increase the efficiency of these companies. Companies must accept the challenge of self-assessment and measure the barriers that threaten to prevent them from reaching to get the maximum potential derived from big data and analytics. The combination of big data and computational business intelligence will change completely processes, logistics and distribution strategies, the choice of marketing channels and any aspect of the production and marketing of products and services. A case of GE is presented to showcase the use of the IoT and big data. All companies, regardless of size or sector, will improve their business operations due to big data generated from the social media and IoT applications and its use in computational business intelligence.

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Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things

Web Services ◽

10.4018/978-1-5225-7501-6.ch055 ◽

2019 ◽

pp. 1048-1067

Author(s):

Javier Vidal-García ◽

Marta Vidal ◽

Rafael Hernández Barros

Keyword(s):

Big Data ◽

Internet Of Things ◽

Business Intelligence ◽

The Internet ◽

Self Assessment ◽

Business Decisions ◽

Business Operations ◽

Large Databases ◽

The Social ◽

The Internet Of Things

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Introduction to Urban Big Data Infrastructure

Urban Informatics - The Urban Book Series ◽

10.1007/978-981-15-8983-6_30 ◽

2021 ◽

pp. 543-545

Author(s):

Michael F. Goodchild

Keyword(s):

Big Data ◽

Internet Of Things ◽

Social Issues ◽

Geospatial Data ◽

The Internet ◽

Data Infrastructure ◽

Spatial Search ◽

3D Data ◽

The Social ◽

The Internet Of Things

AbstractThis chapter provides a brief introduction to Part IV of the book and its focus on urban big data infrastructure. Eight chapters (Chaps. 31 to 38) explore the various dimensions of the topic, ranging from massive archives of 3D data and the Internet of Things to spatial search and the social issues of privacy that are raised by big geospatial data.

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Simulation and Modeling Algorithm for Terminal Container Handling Intelligent Management Based on Internet of Things and Big Data Technology

Scientific Programming ◽

10.1155/2021/8667945 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Lifen Zhang ◽

Qiang Zhou ◽

Huifang Ding

Keyword(s):

Big Data ◽

Internet Of Things ◽

Management System ◽

The Internet ◽

Container Handling ◽

Rfid Middleware ◽

Intelligent Management ◽

Internet Of Things Technology ◽

The Internet Of Things ◽

Big Data Technology

In order to improve the effect of intelligent terminal container management, this paper improves the Internet of Things and big data technology, analyzes the RFID middleware architecture based on the actual needs of container handling management, and proposes a new method of RFID middleware load balancing. Moreover, this paper combines the Internet of Things technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system. After constructing a terminal container handling intelligent management system based on the Internet of Things and big data technology, the performance of the system is verified, and multiple sets of simulation data are used to conduct research. The experimental research results show that the terminal container handling management system based on the Internet of Things and big data constructed in this paper basically meets the actual needs of use.

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