3D Site Deployment Verification Using Knowledge Graph Comparison
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Solution Overview
Problem
There is a lack of automatic verification methods to ensure that site deployments, such as telecommunication sites, match their design specifications, which is crucial for proper performance and contractual acceptance, and existing manual verification methods are dangerous, time-consuming, and costly.
Innovation Solution
A computer-implemented method using knowledge graphs generated from site designs and 3-D representations from scans to automatically verify compliance with design specifications by comparing values from both sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual verification methods are used to check site deployment against design specifications, then verification accuracy can be maintained, but the process becomes time-consuming and dangerous
Solution Approach 1:
The patent replaces manual mechanical verification processes with an automated computer-implemented system that uses image processing and data comparison algorithms. The system automatically extracts features from site deployment images, compares them against design specifications, and generates verification reports, eliminating the need for manual measurement and inspection while maintaining verification accuracy.
Solution Approach 2:
The patent introduces an automated verification system as an intermediary between the design specifications and the actual site deployment. This system acts as a mediator that objectively compares the two sources, providing accurate verification results without requiring direct human involvement in the measurement process, thereby reducing both time and safety risks.
2Measurement precision
If manual verification methods are used to check site deployment against design specifications, then verification accuracy can be maintained, but operational costs increase
Solution Approach 1:
The verification system is designed to be self-service, automatically performing all verification tasks without requiring human operators. The system independently extracts data from images, compares it against specifications, and generates reports, eliminating labor costs while maintaining verification accuracy through automated computational processes.
Solution Approach 2:
The patent substitutes expensive manual verification operations with automated computer-based processing. By replacing human labor with algorithmic image analysis and data comparison, the system maintains high verification accuracy while significantly reducing operational costs associated with manual inspection.
3Productivity
If automated verification is implemented, then verification speed and safety improve, but system complexity increases
Solution Approach 1:
The automated verification system is divided into distinct functional modules: image acquisition, feature extraction, data comparison, and report generation. Each module performs a specific task independently, which simplifies the overall system architecture while enabling high-speed automated verification through parallel processing and specialized algorithms.
4Productivity
If automated verification is implemented, then verification efficiency improves, but implementation complexity increases
Solution Approach 1:
The automated verification system is designed with universal functionality that can handle multiple types of site deployments and design specifications through a single platform. The system uses adaptable algorithms and configurable parameters to work across different verification scenarios, improving efficiency while reducing implementation complexity through standardized processes.
Data Source
AI summary
A method performed by a computing device for verification of a site deployment is provided. The method includes receiving a query that a property related to an object from a 3-D representation from a scan of the site deployment satisfies a specified property related to the object from a drawing of the design of the site. The method further includes initiating extraction of a first value from a first knowledge graph and a second value from a second knowledge graph. The method further includes determining whether the property related to the object from the 3-D representation satisfies the specified property related to the object from the drawing based on a comparison of the first and second values; and outputting a result.


