Open AccessConstruction of Smart City Cloud Platform Based On Multi-Mode Data Fusion Model
Author(s) -
Bingzhao Shi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/3/032028
Subject(s) - smart city , cloud computing , sensor fusion , modal , computer science , mode (computer interface) , process (computing) , data access layer , data model (gis) , data mining , data modeling , artificial intelligence , database , embedded system , human–computer interaction , polymer chemistry , chemistry , internet of things , operating system
Smart cities rely on new information technology to combine artificial intelligence and human wisdom, integrate core city resources, and achieve the best configuration for city operations and smart development. The purpose of this article is to study the construction of a smart city cloud platform under the multi-module data Fusion model. This paper proposes a city multi-modal data fusion model, and explains the model from three levels. First of all, in view of the characteristics of multi-directional data, the focus is on the characteristics of multi-source, heterogeneous, temporal fluctuation and high-dimensionality. Secondly, considering the characteristics of multivariate data, a basic three-layer model from bottom to top is established to complete the process of multi-modal data fusion. Finally, based on the three-layer model, a multi-mode data fusion model suitable for smart city construction is proposed. The experimental results of this paper show that building a cloud platform system for a smart city based on a multi-mode data fusion model has significantly improved all aspects of the city. Among them, the efficiency of the smart city’s safety management has increased by 14%.