Research on Resource Allocation Optimization of Smart City Based on Big Data

Abstract

The resource allocation of charging stations is an important part of promoting the development of renewable energy in modern cities. It can promote the scientific and modern construction of urban resource allocation and promote the intelligent transformation of cities. In view of the existing problems in the resource allocation process of urban charging stations, such as a single planning method, considering the actual travel demand. Based on the smart city transportation network information, this article will consider the impact of charging station construction costs, user driving and waiting costs on the location of charging stations, construct a charging station configuration optimization model, and introduce charging convenience coefficients to modify the model. Secondly, this paper establishes a systematic clustering model based on principal component analysis, selecting factors such as per capita GDP, population, and civilian car ownership as indicators, clustering analysis of different regions and assigning different charging convenience coefficients. Finally, the shortest distance matrix between any two nodes is calculated by the Voronoi diagram to concentrate the regional charging load to the traffic node, and the Floyd algorithm is used to analyze and evaluate the effect of the established charging station configuration optimization model. This technology provides a basis for promoting the modernization of urban green transportation.

Inspiration of International Farmland Art Application to China's Creative Agriculture

“…China's creative agriculture started relatively late, and the relevant supporting policies are not perfect enough. Foreign creative agriculture combines agricultural production, agricultural tourism and rural ecology, and has the characteristics of high industrialization [7] . Therefore, it has received strong support from the government.…”

Visualization Analysis of Cross Research between Big Data and Construction Industry Based on Knowledge Graph

“…From the perspective of technology development, smart city construction requires the application of a new generation of information technology, such as the Internet of Things and cloud computing, represented by mobile technology, to realize comprehensive sensing, analysis, and integration of all key information in the core system of urban operation, to make intelligent responses to various needs, including people's livelihood, environmental protection, public safety, urban services, industrial and commercial activities, and to create a better urban life for human beings [37]. Numerous scholars internationally have used sensing data, video data, and big data analytics from IoT technologies to comprehensively sense, and correlate key information to support urban management and urban policies [38], modernize urban green transportation [39], intelligently manage human activity information in cities, and remove data and technical barriers between different smart city systems [40].…”

Labor Market Resource Allocation Optimization Based on Principal Component Analysis

“…roughout the existing literature analysis, research on the national level is relatively more. For example, Zhou et al [11] used the principal component analysis method to cluster the charging station resources in different regions, then constructed the charging station configuration optimization model, and used the Floyd algorithm to analyze and evaluate the effect of the established charging station configuration optimization model.…”