Methods, apparatus and equipment for building urban stock space databases and analyzing current status

By using the improved deep learning model BFE-Net and a dual-engine attribute matching strategy, combined with DBSCAN and Z-score anomaly detection, the problem of automated integration and efficient computation of multi-source heterogeneous urban spatial data was solved, enabling high-precision extraction and rapid analysis of existing urban spatial data.

CN122086865APending Publication Date: 2026-05-26CHINESE ACAD OF SURVEYING & MAPPING +11
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINESE ACAD OF SURVEYING & MAPPING
Filing Date
2026-02-10
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies suffer from low efficiency, insufficient accuracy, and long processing times in integrating multi-source heterogeneous urban spatial data, extracting building information, and calculating massive spatial indicators, making it difficult to meet the needs of smart city construction.

Method used

An improved deep learning model, BFE-Net, combined with a spatial boundary enhancement module (SBM), is used for building outline extraction. A dual-engine attribute matching strategy is employed to achieve efficient data fusion. Intelligent analysis is performed using DBSCAN spatial clustering and Z-score anomaly detection methods, and parallel computing is carried out using a distributed computing framework.

Benefits of technology

It improved the accuracy of building outline extraction and data fusion efficiency, shortened the calculation time, realized high-precision automated extraction of building information and rapid analysis of massive indicators, and enhanced the automation level and objectivity of urban spatial data database construction.

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Abstract

This invention discloses a method, apparatus, and equipment for building a database and analyzing the current status of urban existing space data, belonging to the field of urban spatial information management technology. The method includes the following steps: collecting multi-source basic data of the target city; standardizing the format, attribute fields, and spatial benchmarks of the multi-source basic data, and performing spatial trimming to form a basic data base; constructing an urban building information database by integrating building foundation data and building attribute information; spatially associating the urban building information database with spatial units based on land parcels, and calculating evaluation indicators by combining population, land use, industry, and planning approval data to construct an urban existing space status assessment database; comprehensively evaluating and analyzing the evaluation indicators, and outputting the urban existing space status assessment results. This invention achieves multi-dimensional assessment of urban development intensity, spatial structure, and service accessibility, which is helpful for tapping the potential of urban existing space resources, renovating and upgrading, and making planning decisions.
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