Rail Transit Control Zone Spatial Analysis Using Douglas-Peucker Simplification
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Solution Overview
Problem
Current methods for assessing the influence of rail-involved construction projects on control and protection zones of rail transit are hindered by heavy calculation burdens and low arithmetic speed due to dense coordinate points and continuous point conversions during data format conversion and automatic stacking comparisons.
Innovation Solution
A method involving format conversion of data files from DWG to WKT format, using the Douglas-Peucker algorithm for simplifying coordinate points, and spatial analysis based on rail structure dependency to reduce calculation burden and improve efficiency by defining distance and area thresholds, and storing data in a database for spatial relationship comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous point coordinates and dense coordinate points are used during data format conversion and automatic stacking comparison, then analysis accuracy is maintained, but calculation burden increases and arithmetic speed decreases
Solution Approach 1:
The patent segments the control and protection zone boundary into key coordinate points that define the essential geometric features. Instead of processing all continuous coordinate points, the method identifies and retains only the critical points that maintain the spatial accuracy needed for influence assessment, thereby reducing data volume while preserving analysis precision.
Solution Approach 2:
The patent extracts essential spatial information from dense coordinate data by identifying key points that capture the boundary characteristics. This extraction process removes redundant coordinate points while retaining the critical geometric information needed for accurate spatial relationship analysis between construction projects and control zones.
2Loss of information
If all coordinate points are processed during data format conversion, then complete spatial information is preserved, but calculation burden increases
Solution Approach 1:
The patent applies local quality by differentiating between critical and non-critical coordinate points. Key points that define boundary geometry and spatial relationships are retained with high precision, while redundant points are removed. This selective processing maintains spatial information completeness where it matters most while reducing overall calculation burden.
Solution Approach 2:
The patent performs preliminary processing to identify and extract key coordinate points before conducting the main spatial analysis. By pre-processing the coordinate data to retain only essential points, the method reduces the complexity of subsequent calculations while ensuring that all critical spatial information is preserved for accurate influence assessment.
Data Source
AI summary
A method for extracting and analyzing spatial information of a control and protection zone of rail transit with multiple threshold constraints, including the following steps: 1, performing format conversion on a data file and extracting a plurality of coordinate points; 2, selecting key points from the plurality of coordinate points for data simplification to obtain a simplified limit line, a simplified outer structure edge line and a simplified boundary line of construction; 3, programming the simplified limit line, the simplified outer structure edge line, and the simplified boundary line of construction, calling a database, and reading data therefrom for spatial relationship comparison; 4, determining whether the construction of a rail-involved construction project intrudes into a control and protection zone of rail transit according to a result of the spatial relationship comparison, thus completing the extraction and analysis of the spatial information of the control and protection zone of rail transit.