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A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method

Traditional marine pastures have made great contributions to human beings, but traditional marine pastures have also caused major harm to the marine natural environment. Modern technology represented by artificial intelligence has broad application prospects and significant potential and has the abi...

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Detalles Bibliográficos
Autores principales: Liu, Tao, Wu, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940552/
https://www.ncbi.nlm.nih.gov/pubmed/35330599
http://dx.doi.org/10.1155/2022/3421999
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author Liu, Tao
Wu, Fan
author_facet Liu, Tao
Wu, Fan
author_sort Liu, Tao
collection PubMed
description Traditional marine pastures have made great contributions to human beings, but traditional marine pastures have also caused major harm to the marine natural environment. Modern technology represented by artificial intelligence has broad application prospects and significant potential and has the ability to innovate and enhance the conventional marine ranching business that is currently in recession. The particularity of China's marine ranching industry determines the combination of technologies such as underwater robots and the Internet of Things with the development of marine ranching to create a sustainable intelligent marine ranching industry in China. The growth of China's national economy is largely influenced by the development of the country's financial services industry. In order to better support the development of the real economy, it is necessary to establish a financial service system with controllable risks and complementary activities. This paper proposes to use the method of Internet of Things data collection combined with sensors to conduct economic analysis. By taking a number of data in recent years for research and analysis, the results show that financial service industry innovation has become an important part of improving the competitiveness of the industry and an important driving force for economic growth. The Internet of Things (IoT) business in China is a fast-growing industry with huge potential. From the perspective of international comparison, our country is currently in the early stage of the development of the Internet of Things, and a certain technology, industry, and application foundation has been established in the early stage of development. In the financial services business, the visual tracking provided by IoT technology has innovative potential. Introducing IoT technology into financial service business and identifying the driving force and process of financial innovation have practical significance for accelerating financial innovation.
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spelling pubmed-89405522022-03-23 A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method Liu, Tao Wu, Fan Comput Intell Neurosci Research Article Traditional marine pastures have made great contributions to human beings, but traditional marine pastures have also caused major harm to the marine natural environment. Modern technology represented by artificial intelligence has broad application prospects and significant potential and has the ability to innovate and enhance the conventional marine ranching business that is currently in recession. The particularity of China's marine ranching industry determines the combination of technologies such as underwater robots and the Internet of Things with the development of marine ranching to create a sustainable intelligent marine ranching industry in China. The growth of China's national economy is largely influenced by the development of the country's financial services industry. In order to better support the development of the real economy, it is necessary to establish a financial service system with controllable risks and complementary activities. This paper proposes to use the method of Internet of Things data collection combined with sensors to conduct economic analysis. By taking a number of data in recent years for research and analysis, the results show that financial service industry innovation has become an important part of improving the competitiveness of the industry and an important driving force for economic growth. The Internet of Things (IoT) business in China is a fast-growing industry with huge potential. From the perspective of international comparison, our country is currently in the early stage of the development of the Internet of Things, and a certain technology, industry, and application foundation has been established in the early stage of development. In the financial services business, the visual tracking provided by IoT technology has innovative potential. Introducing IoT technology into financial service business and identifying the driving force and process of financial innovation have practical significance for accelerating financial innovation. Hindawi 2022-03-15 /pmc/articles/PMC8940552/ /pubmed/35330599 http://dx.doi.org/10.1155/2022/3421999 Text en Copyright © 2022 Tao Liu and Fan Wu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Tao
Wu, Fan
A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method
title A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method
title_full A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method
title_fullStr A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method
title_full_unstemmed A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method
title_short A Sensor-Based IoT Data Collection and Marine Economy Collaborative Innovation Method
title_sort sensor-based iot data collection and marine economy collaborative innovation method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940552/
https://www.ncbi.nlm.nih.gov/pubmed/35330599
http://dx.doi.org/10.1155/2022/3421999
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