Multisource big data fusion-based city space holographic map establishment method

Abstract

The invention discloses a multisource big data fusion-based city space holographic map establishment method. The method comprises the steps of mapping green quantity vegetations, municipal engineering, physical environments (including a city noise environment, a city wind environment, a city heat environment and a heat island effect), industry organization POI, people-vehicle activities and humanistic feeling evaluations in a city full-space coverage range to a cloud database through different graphic layers; and intuitively and dynamically displaying and outputting different types of data space features in combination with city space forms, so that city systems can perform real-time detection, and city plan design engineering practice is facilitated. Based on a cloud data end, massive data can be processed, and real-time quick query and display can be carried out; and by superposing multisource big data and city space form data in a same digital map system, city coordinate system-based seamless connection collection of multisource data interfaces and simulated dynamic display of space features are realized.

Description

technical field [0001] The present invention relates to a construction and visualization technology of a holographic map of urban space, and more particularly to a construction method of a holographic map of urban space based on multi-source big data fusion. Background technique [0002] With the development of information technology, informatization and intelligence have become the mainstream of contemporary development, which leads to an extremely large amount of information generated in daily life, forming a holographic digital map of the city. Compared with traditional paper maps that only indicate streets, place names, and distances, holographic digital maps have the characteristics of positioning, visualization, and real-time monitoring. More importantly, the urban holographic digital map will carry out comprehensive and comprehensive information expression and analysis of various systems and units of the city from the surface to the depth, from the real to the virtual...

AI Technical Summary

Problems solved by technology

[0004] At present, research on urban multi-source big data at home and abroad mainly focuses on data collection and visualization, which are mostly displayed in the form of charts and animations, and less attention is paid to the mutual influence between various urban data systems and large-scale urban spatial forms and architectural spatial layouts. , lacking the production and dynamic display technology of a holographic digital map system based on the full coverage of urban space

At present, in the production technology of urban spatial holographic maps, there is a lack of urban geographic spatial coordinates, data processing in a single dimension, and lagging behind in the field of urban spatial holographic map production and display of large-scale composite data

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