Real-Time Drive Test Data Validation Tool

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current post-processing tools for drive test data in RF communications systems do not allow for real-time analysis of data completeness and consistency, leading to potential issues with incomplete or incorrect data collection, and are unable to compare data across different collection files, resulting in inefficiencies and additional costs due to the need for repeated tests.

Innovation Solution

A data check tool that creates a goals file defining test equipment configurations and settings, performs real-time data consistency checks across multiple files, and alerts teams to inconsistencies, allowing for immediate correction during the test process, and compares collected data against objectives to ensure proper equipment usage and data quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If post-processing tools are used to analyze drive test data after collection, then data can be processed and analyzed, but data completeness and consistency problems can only be detected after the collection process is over, requiring additional costly retests

Engineering Contradiction:

Improvedata qualityVSAvoidtime for retests

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs data consistency checks and completeness validation during the data collection process itself, rather than waiting until after collection is complete. The data check tool continuously monitors collected data against expected parameters and alerts users to problems in real-time, enabling correction during the collection process rather than requiring retrospective retests

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides real-time feedback to users about data quality issues by continuously comparing collected data against expected parameters and generating alerts when inconsistencies or completeness problems are detected. This feedback mechanism enables immediate correction of data collection issues without waiting for post-processing analysis

Inventive Principle:

Principle #23Feedback

2Productivity

If current post-processing tools are used, then data can be processed, but the tools do not permit examination of data for completeness and consistency until after collection is over

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidtime to detect data problems

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The data check tool performs validation checks during the data collection process itself, examining data for completeness and consistency in real-time. This preliminary verification eliminates the need to wait until after collection is complete to identify data problems, significantly reducing the time to detect and correct issues

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors and validates data quality throughout the entire collection process, maintaining constant checking for completeness and consistency. This continuous verification ensures that data problems are detected immediately as they occur, rather than being discovered only after the collection process ends

Inventive Principle:

Principle #20Continuity of useful action

3Productivity

If drive test data is collected without real-time checking, then data collection can proceed uninterrupted, but data inconsistencies and equipment configuration problems go undetected until after collection

Engineering Contradiction:

Improvedata collection efficiencyVSAvoiddata consistency

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system provides continuous feedback during data collection by comparing actual collected data against expected parameters and equipment configurations. When inconsistencies or configuration problems are detected, the system generates alerts immediately, allowing users to correct issues during the collection process rather than accepting erroneous data

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system replaces manual post-processing verification with automated real-time data validation. The data check tool automatically compares collected data against expected parameters and equipment configurations, substituting the need for manual post-collection analysis with continuous automated monitoring during collection

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Quantity of substance

If multiple drive test files are collected without comparison capability, then comprehensive data can be gathered, but inconsistencies across files cannot be identified

Engineering Contradiction:

Improvevolume of dataVSAvoiddata consistency across files

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system merges multiple drive test data files into a unified comparison framework, allowing simultaneous examination of data from different collection files. The data check tool compares attributes across files to identify inconsistencies, enabling comprehensive data validation that spans multiple separate collection operations

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS7522884B2Apparatus and method for analyzing drive test data for communications system

Publication Date: 2009.04.21 TURNER CLAY S

AI summary

A data check tool useful for processing drive test data for assessing performance of a communications system. After (or during) test data collection, the data check tool processes the test data to determine whether the collected test data meets the requirements of a previously identified list of desired test data. The tool also determines whether the test data was collected using the correct test equipment and whether the test equipment was properly configured during the data collection process.