Abstract

The Internet of Things is based on a communication network to automatically receive various information from the natural world. It uses intelligent objects with perception, communication and computers to automatically receive various information from nature. All independently managed physical objects are connected to each other to achieve integrated perception, reliable transmission and intelligent processing, and to establish intelligent information between people and objects, and objects and object service systems. This article mainly introduces the impact of industrial agglomeration on the regional economy in a simulated intelligent environment based on machine learning. This paper proposes a method to detect industrial agglomeration index to analyze industrial agglomeration. Through the establishment of the industrial agglomeration index system, the level of integration of the manufacturing industry in our city was objectively analyzed, and the impact of the integration of manufacturing industry on our city was tested empirically. Finally, the relationship between industrial integration and regional economic development was tested. The experimental results in this paper show that industrial integration in a smart environment based on simulation learning has a significant positive impact on regional economic development. Among them, the level of cooperation between the manufacturing service industry and the manufacturing industry increased by 1%, and the level of regional economic development increased by 0.025%.

Highlights

  • The development of the times and the improvement of the level of science and technology have promoted economic development [1], which has made the country’s economic ties increasingly closer, and the production industry is constantly changing

  • Exploratory research on the relationship between logistics industry agglomeration and economic growth is of considerable significance both in theory and in practice

  • INTERNET OF THINGS TECHNOLOGY 1) RFID TECHNOLOGY RFID is abbreviated as radio frequency identification technology, which mainly uses the unique identification number corresponding to the tag to identify the indicator light

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Summary

INTRODUCTION

The development of the times and the improvement of the level of science and technology have promoted economic development [1], which has made the country’s economic ties increasingly closer, and the production industry is constantly changing. Among the various methods for measuring the level of industrial agglomeration, it is more convenient to obtain industrial concentration index data, the data is very real, and the measurement is very convenient [21].it is an important indicator to measure the degree of market aggregation [22]. ICn can vividly reflect the level of manufacturing concentration, calculate the concentration of major manufacturing industries in the market, and research on the impact of industrial agglomeration on regional economic growthtaking the manufacturing industry in our city as an example to indirectly understand the degree of manufacturing agglomeration, but this indicator It can only indicate the situation in the top industries, and the manufacturing concentration is related to the total number and distribution of manufacturers, so this indicator does not reflect the overall situation of the market, and has certain limitations [25]. This article mainly uses the indicators introduced above to analyze the level of manufacturing agglomeration in our city [30]

CALCULATION OF INDUSTRIAL AGGLOMERATION
ESTABLISHMENT OF THE THRESHOLD MODEL OF INDUSTRIAL AGGLOMERATION
Findings
CONCLUSION
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