Communication Tower Modification Prediction Using Asset Data
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Solution Overview
Problem
Existing communication tower modifications are inefficient due to subjective engineering evaluations, leading to cost inefficiencies, delays, and resource wastage, as they lack objective criteria for determining the need for hardware upgrades.
Innovation Solution
A system and method utilizing a prediction model to evaluate communication towers based on asset data, including antenna characteristics, age, environmental conditions, and location, generating a model probability score to recommend necessary modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective engineering evaluations are used to determine tower modifications, then engineer expertise and judgment are utilized, but cost inefficiencies and delays occur due to lack of objective criteria
Solution Approach 1:
The patent replaces the mechanical system of subjective human engineering evaluations with an automated computer-based evaluation system that uses objective algorithms and data processing to determine tower modification needs, eliminating human bias and inconsistency while improving efficiency
Solution Approach 2:
The evaluation system enables towers to be assessed automatically based on their own data characteristics without requiring manual engineering review, allowing the system to self-evaluate modification needs through automated data analysis and scoring
2Reliability
If tower modifications are performed based on subjective site selection, then engineer discretion is applied, but cost inefficiencies and resource wastage result from insufficient knowledge of tower components and circumstances
Solution Approach 1:
The patent performs preliminary automated evaluations of tower modification needs before actual modifications are implemented, using pre-collected data and predictive algorithms to identify which towers require modifications, preventing unnecessary resource allocation to towers that don't need changes
Solution Approach 2:
The system incorporates feedback loops where evaluation results inform subsequent modification decisions, allowing continuous improvement of the evaluation model based on actual modification outcomes and tower performance data to increase accuracy over time
3Reliability
If high modification rates are applied to ensure network requirements are met, then network reliability is maintained, but significant expenses are incurred including leasor fees, service fees, and equipment costs
Solution Approach 1:
The patent changes the parameter of modification determination from subjective engineer judgment to objective data-driven scoring, using multiple input parameters (tower age, antenna characteristics, environmental factors) to calculate a comprehensive modification probability score that optimizes both network reliability and cost efficiency
Data Source
AI summary
A system and method evaluate a communication tower for modification. The system includes a prediction module, a scoring module, and an output device. The prediction module receives asset data associated with the communication tower, and implements a prediction model to generate, from the asset data, a model probability score associated with the communication tower. The scoring module generates a tower modification recommendation from the model probability score. The output device outputs the tower modification recommendation. The system receives model training data for training the prediction model to implement a predictive regression model. The method implements the system.