An urban land automatic identification system integrating industrial big data and building forms

Abstract

The invention discloses an urban land automatic identification system integrating industrial big data and building forms. The system comprises a data acquisition and input module, a database construction module, a machine learning training module, an automatic identification module and a data output module, and the system automatically identifies urban land by extracting data distribution characteristics of urban industrial points and multi-dimensional morphological characteristics of urban space three-dimensional entities. According to the invention, determination of urban land parcel land properties in the field of urban planning and design can be handled; the high-efficiency automatic fine identification of urban land properties of different scales based on an artificial intelligence system is achieved, an efficient and convenient surveying and mapping path and reference are provided for measurement and drawing of urban current situation construction land, and the time cost of manual surveying and mapping is effectively saved.

Description

technical field [0001] The invention belongs to the field of urban planning, and relates to an automatic identification system for urban land, in particular to an automatic identification system for urban land that integrates big data of business forms and building forms. Background technique [0002] Urban land use is the planning and design basis of urban planning disciplines, and it is a collective term for land with certain uses and functions. With the rapid and stable development of urbanization and the continuous expansion of cities, the layout of urban land has become increasingly complex, which increases the difficulty and time cost of measuring the nature of urban land. On the other hand, cities of different scales and grades have obvious differences in the layout and scale of urban land plots, and the differences in business characteristics and architectural forms within the same type of land are becoming more and more obvious. Identifying the nature of urban land...

AI Technical Summary

Problems solved by technology

[0003] The current common urban land use identification methods, one is through manual on-site surveying and mapping, combined with the current topographic map, based on the results of comprehensive judgments on the buildings, business types, functions, and public spaces of each block. Large physical resources, land use identification involves human brain judgment, construction of complex plots is prone to misjudgment and large randomness; the other is to conduct unsupervised clustering identification only through business type POI, which ignores the relationship between urban architectural form and urban land use. Due to the singleness of the data dimension, the error coefficient of the recognition result is relatively large, and it can only identify the large land use types, and cannot achieve the purpose of finely identifying small urban land use types

Images