Research on the dynamic evolution mechanism of disruptive technology based on the BERTopic model and Hidden Markov Model: A case study of industrial Internet technology

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:PLoS One vol. 20, no. 4 (Apr 2025), p. e0319924
Hoofdauteur: Yang, Heng
Andere auteurs: Chen, Sheng, Yang, Xin
Gepubliceerd in:
Public Library of Science
Onderwerpen:
Online toegang:Citation/Abstract
Full Text
Full Text - PDF
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

MARC

LEADER 00000nab a2200000uu 4500
001 3191347955
003 UK-CbPIL
022 |a 1932-6203 
024 7 |a 10.1371/journal.pone.0319924  |2 doi 
035 |a 3191347955 
045 2 |b d20250401  |b d20250430 
084 |a 174835  |2 nlm 
100 1 |a Yang, Heng 
245 1 |a Research on the dynamic evolution mechanism of disruptive technology based on the BERTopic model and Hidden Markov Model: A case study of industrial Internet technology 
260 |b Public Library of Science  |c Apr 2025 
513 |a Journal Article 
520 3 |a ObjectiveThe development of key technologies for the Industrial Internet is a major concern for countries worldwide. This paper aims to comprehensively understand the technology of the Industrial Internet by analyzing its current application status and trends. It will dynamically examine the key technologies and development trends of the Industrial Internet, providing a valuable reference for technological advancements in this field.MethodsThis paper analyzed global patent data in the field of the Industrial Internet from 1965 to 2023. The paper applied the BERTopic model and the all-MiniLM-L6-v2 model to extract and vectorize topics related to industrial internet technology from patent texts. Based on the theory of Internet governance, the paper categorizes the topics into four categories. The paper then established the Hidden Markov Model (HMM) to investigate the evolutionary mechanism of technological topics. The paper utilized the newly divided topics as hidden states and the number of patent applications as observed states in the Hidden Markov Model (HMM).ResultsIndustrial internet technology encompasses five research directions. The physical layer focuses on interconnection platforms for equipment, as well as devices for the storage and monitoring of liquids and gases. The logical layer involves remote control systems for industrial equipment, while the data layer focuses on data processing and information services. The interaction layer included modular image processing and control methods. Among these types of technologies, the data layer technologies were the most developed and also contributed to the advancement of interaction layer technologies. The physical layer technologies were relatively more developed, while the logical and interaction layer technologies were relatively less developed. 
651 4 |a France 
651 4 |a United States--US 
651 4 |a Germany 
651 4 |a China 
651 4 |a Japan 
653 |a Internet 
653 |a Data processing 
653 |a Markov chains 
653 |a Control systems 
653 |a Trends 
653 |a Patent applications 
653 |a Data mining 
653 |a Information services 
653 |a Remote control 
653 |a Image processing 
653 |a Manufacturing 
653 |a Documents 
653 |a Technology 
653 |a Innovations 
653 |a Bibliometrics 
653 |a Edge computing 
653 |a Semantic analysis 
653 |a Industrial Internet of Things 
653 |a Information processing 
653 |a Control methods 
653 |a Industry 4.0 
653 |a Semantics 
653 |a Economic 
700 1 |a Chen, Sheng 
700 1 |a Yang, Xin 
773 0 |t PLoS One  |g vol. 20, no. 4 (Apr 2025), p. e0319924 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3191347955/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3191347955/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3191347955/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch