Cellular Tower Statistical Modeling for 3D Analysis Efficiency
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Solution Overview
Problem
Cellular networks are complex and expensive due to insufficient representation and analysis of structures and equipment, leading to additional complexity and cost in implementation.
Innovation Solution
A system that generates a statistical representation of cellular towers using three-dimensional data points, converting them into reduced-size statistical metrics for efficient analysis and characterization, utilizing imaging devices and machine learning models to identify patterns and equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed three-dimensional data points are used to represent cellular tower structures, then measurement precision and analysis accuracy are improved, but computing resources and system complexity increase
Solution Approach 1:
The patent extracts only the essential statistical features from complete three-dimensional data points. Instead of processing all raw data points, the system identifies and extracts key statistical characteristics (such as height distributions, equipment placement patterns, and structural features) that capture the essential tower structure information while discarding redundant details, thereby reducing computing resource requirements while maintaining analysis accuracy
Solution Approach 2:
The patent inverts the traditional approach by first collecting detailed three-dimensional data and then statistically summarizing it into compact representations. This inversion allows the system to leverage high-precision measurement data for training and validation while using the compressed statistical models for actual deployment, effectively separating the precision requirement from the operational complexity
2Measurement precision
If complete three-dimensional data points are processed for tower characterization, then analysis accuracy is improved, but processing time and computational cost increase
Solution Approach 1:
The patent performs preliminary statistical summarization of three-dimensional data points during data collection or preprocessing stages. By pre-computing statistical features (such as mean heights, variance distributions, and structural patterns) before actual analysis tasks, the system prepares compact representations that can be quickly processed during deployment, significantly reducing real-time processing time while preserving characterization accuracy
Solution Approach 2:
The patent creates simplified statistical copies or summaries of the complete three-dimensional data. These statistical representations serve as lightweight proxies that capture the essential structural characteristics of cellular towers, enabling rapid analysis and comparison without requiring processing of the full-resolution three-dimensional point clouds, thus reducing processing time while maintaining analytical fidelity
Data Source
AI summary
Technologies for implementing statistical representations of tower structures in a cellular network are described. One method include receiving, by a processing device, a plurality of images of a tower structure in a cellular network; extracting a plurality of data points from the plurality of images, wherein the plurality of data points reflects a three-dimensional visual representation of the tower structure; generating, using the plurality of points, a statistical representation of the tower structure; and identifying, using the statistical representation, one or more patterns associated with the tower structure.