Mobile Asset Sample Tracking for Accurate Field Data Correlation
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Solution Overview
Problem
Existing methods for collecting and correlating asset data are inefficient and prone to errors, especially in challenging environments, leading to wasted time and resources due to manual data entry and incorrect asset identification.
Innovation Solution
A system and method utilizing an asset management application and mobile interface for field technicians to collect and correlate asset and sample data, leveraging barcode scanning, geolocation, and database matching to ensure accurate asset identification and test request management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry is used for asset and sample information, then flexibility and adaptability are maintained, but data entry errors increase and productivity decreases
Solution Approach 1:
The patent replaces manual mechanical data entry with automated electronic data capture using mobile devices, barcode scanners, and GPS technology. Field technicians use handheld devices to automatically capture asset identification data, sample data, and location information, eliminating manual writing and typing while improving both accuracy and efficiency.
Solution Approach 2:
The patent uses barcode scanning and image capture to create digital copies of asset identification information and sample data. Instead of manually transcribing data from physical labels and forms, the system captures optical images and barcode data directly into the database, reducing errors and improving speed.
2Reliability
If field technicians manually correlate asset data with sample data, then adaptability to varying conditions is maintained, but time consumption increases and reliability decreases
Solution Approach 1:
The patent replaces manual correlation processes with automated electronic matching systems. The mobile device automatically links asset identification data with sample data through digital database queries and GPS coordinate matching, eliminating manual bookkeeping and reducing correlation errors while speeding up the process.
Solution Approach 2:
The patent introduces a centralized database as an intermediary between asset data and sample data. This database automatically stores and correlates all information, serving as a digital mediator that links assets to their corresponding samples and test results without requiring manual intervention for each correlation.
3Reliability
If field technicians return to asset sites to obtain correct data, then data accuracy is improved, but productivity and time efficiency worsen
Solution Approach 1:
The patent implements real-time feedback through the mobile device system that immediately validates data entry and confirms asset-sample correlations on-site. The system provides instant feedback when data is correctly captured and correlated, eliminating the need for return visits to correct errors or verify information.
Solution Approach 2:
The patent performs data validation and correlation checks in real-time during the initial data collection process. The system preliminarily verifies asset identification, sample data, and correlations before the technician leaves the site, preventing errors that would otherwise require return visits to correct.
Data Source
AI summary
Asset data is collected from one or more asset managers and stored in a known asset database. The known asset database enables tracking and maintenance of assets associated with each asset manager. One or more field technicians may also be associated with assets in the known asset database. A field technician is provided with access to a field asset management application on a mobile device, which allows the field technician to provide data associated with asset samples. Asset sample data is then correlated with asset data. Once an asset sample has been correlated with an asset, a field technician or other party is presented with an interface through an asset management application, allowing the party to place one or more requests for tests to be performed on one or more asset samples. Once the one or more tests are performed, test results data is provided.