Engineering cableway stockyard point space data clustering method and system based on road feature enhancement

By using a spatial data clustering method for cableway material yards based on road feature enhancement, the problems of high error rate and low efficiency in cableway material yard zoning are solved. This method achieves high-precision and fast material yard classification and transportation route optimization, adapting to various terrain and road conditions.

CN120850439BActive Publication Date: 2025-12-09四川电力设计咨询有限责任公司
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Patent Information

Application Number
CN202511357900.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-23
Publication Date
2025-12-09
Estimated Expiration
2045-09-23

AI Technical Summary

Technical Problem

Existing cableway material yard zoning methods suffer from high error rates, long processing times, high costs, and are unsuitable for temporary access roads in mountainous construction. In particular, on winding sections, left and right material yards are easily confused and zoning is offset, resulting in low efficiency in secondary material transfer and transportation.

Method used

A spatial data clustering method for engineering cableway material yards based on road feature enhancement is adopted. By extracting feature data of road centerline, average width and unit direction, and calculating feature data of minimum boundary distance, lateral offset and longitudinal projection position, the method combines K-means clustering algorithm and neighbor point voting mechanism to automatically divide material yard points and optimize spatial consistency, thereby improving clustering accuracy and generalization.

Benefits of technology

It significantly improves the accuracy and efficiency of material yard classification on curved road sections, reducing the error rate from 40% to below 5%, shortening the processing time to less than 10 minutes, supporting widened roads and sparse material yards, and reducing the risk of cableway collisions and secondary transfer costs.

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Abstract

The present application belongs to the technical field of power transmission line engineering cableway design and construction, and particularly relates to an engineering cableway stockyard point spatial data clustering method and system based on road feature enhancement. The method comprises the following steps: S1, road feature extraction: extracting road center line feature data, road average width feature data, and road unit direction feature data; S2, road feature enhancement processing: calculating boundary minimum distance feature data, transverse offset feature data based on cross product, and longitudinal projection position feature data; S3, spatial data clustering: based on the enhanced road features, using the K-means clustering algorithm, the stockyard points are automatically divided into left stockyard point set and right stockyard point set; S4, spatial consistency optimization: based on the principle of geographical spatial continuity, the outlier point label is corrected through the neighbor point voting mechanism. The accuracy and generalization of the spatial data clustering of the stockyard points of the power transmission line engineering cableway are improved.
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