Characteristic analysis and integration method of urban planning data based on GIS of internet of things

Abstract

The analysis of urban planning data provides a fast and effective means of information acquisition and management for urban planning management. However, there is currently no suitable feature analysis method for analyzing urban planning data. In order to conduct a comprehensive and detailed feature analysis of the urban planning data, this paper studies the overall design of the urban planning management information system based on the Internet of Things GIS, and conducts a horizontal spatial difference analysis and a vertical spatial evolution analysis. The composition of land used for 2015–2019 was analyzed from multiple angles including land distribution, and the rational evaluation of urban construction land structure and analysis of construction land trends in XX Province were carried out. City A, City B construction project site selection opinions have the most approved areas; City B, City D and City F construction land planning permits have the most approved areas; City A, City D and City E construction project planning permits have the most approved areas. The total approved area of the construction project site selection submission in XX province increased rapidly from 2015 to 2016, and then fell continuously for the next two years. The highest value of 47.74 % in 2018 and decrease to 36.92 % in 2019. In the past five years, the proportion of land used for public facilities has fluctuated steadily, around 10 %. From 2015–2016, the proportion of land used for public management and service facilities remained basically unchanged, about 10 %. There was a certain increase in 2017, rising to 19.39 %, then decreasing to 6.56 % in 2018, and returning to about 10 % in 2019.