Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things

The purpose of this article is to use the Internet of Things related technology to analyze the characteristics of multisource and easy-to-purchase data for the different types of planning data and different levels of cognitive needs of participants in the entire urban planning process. This paper us...

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Autor principal:	Xiao Xiao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/5f032702642247258f744b0265209ef2
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spelling	oai:doaj.org-article:5f032702642247258f744b0265209ef22021-11-22T01:10:05ZCharacteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things1875-905X10.1155/2021/5731246https://doaj.org/article/5f032702642247258f744b0265209ef22021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5731246https://doaj.org/toc/1875-905XThe purpose of this article is to use the Internet of Things related technology to analyze the characteristics of multisource and easy-to-purchase data for the different types of planning data and different levels of cognitive needs of participants in the entire urban planning process. This paper uses the ontology idea to reconstruct the relationship between multisource and heterogeneous planning data including Internet of Things data, planning documents, and planning drawings, to design the data semantic relationship of the ontology model elements, define the relationship between the data types, and implement the ontology-based method. The semantic expression algorithm in the planning field facilitates the exchange of various planning participants’ understanding of the planning scheme, at the same time, according to the classification of multisource heterogeneous data features, logical reasoning of ontology relationships, filtering redundant information, and multisource heterogeneous planning data visualization. Finally, the information of the same nature collected by the sensor nodes of the Internet of Things is batched, and the calculated fusion information is closer to the true value through a series of weighting formulas. Experiments prove that the feature analysis method proposed in this paper can maintain a loss of 0.02% and achieve an accuracy rate of 79.1% when the overall characteristics of digital city planning are reduced by 67%, which effectively proves the multisource heterogeneous data feature analysis for digital city planning importance.Xiao XiaoHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Xiao Xiao Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things
description	The purpose of this article is to use the Internet of Things related technology to analyze the characteristics of multisource and easy-to-purchase data for the different types of planning data and different levels of cognitive needs of participants in the entire urban planning process. This paper uses the ontology idea to reconstruct the relationship between multisource and heterogeneous planning data including Internet of Things data, planning documents, and planning drawings, to design the data semantic relationship of the ontology model elements, define the relationship between the data types, and implement the ontology-based method. The semantic expression algorithm in the planning field facilitates the exchange of various planning participants’ understanding of the planning scheme, at the same time, according to the classification of multisource heterogeneous data features, logical reasoning of ontology relationships, filtering redundant information, and multisource heterogeneous planning data visualization. Finally, the information of the same nature collected by the sensor nodes of the Internet of Things is batched, and the calculated fusion information is closer to the true value through a series of weighting formulas. Experiments prove that the feature analysis method proposed in this paper can maintain a loss of 0.02% and achieve an accuracy rate of 79.1% when the overall characteristics of digital city planning are reduced by 67%, which effectively proves the multisource heterogeneous data feature analysis for digital city planning importance.
format	article
author	Xiao Xiao
author_facet	Xiao Xiao
author_sort	Xiao Xiao
title	Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things
title_short	Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things
title_full	Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things
title_fullStr	Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things
title_full_unstemmed	Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things
title_sort	characteristic analysis of multisource heterogeneous data in digital city planning based on internet of things
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/5f032702642247258f744b0265209ef2
work_keys_str_mv	AT xiaoxiao characteristicanalysisofmultisourceheterogeneousdataindigitalcityplanningbasedoninternetofthings
_version_	1718418403056680960

Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things

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