Contextual Position Fix Accuracy Correction
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Solution Overview
Problem
Position fix data from wireless monitoring and tracking devices, such as GPS and RFID, is often inaccurate due to various errors, leading to unreliable asset tracking and potential false notifications.
Innovation Solution
The system determines the accuracy of position fixes based on contextual information, including event types like process, security, environmental, and tracking events, and modifies the fixes accordingly using business logic to identify and correct outliers, thereby providing more accurate position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If position fix data is collected using GPS and RFID technologies, then asset tracking capability is enabled, but position fix accuracy deteriorates due to various errors
Solution Approach 1:
The patent introduces an intermediary processing system that receives position fix data from GPS and RFID technologies and applies contextual business logic to correct errors. This intermediary layer filters and adjusts the raw position data based on event types (process events, security events, environmental events, tracking events) to eliminate outliers and improve accuracy without sacrificing tracking capability
Solution Approach 2:
The system implements feedback by continuously monitoring position fix accuracy and using contextual information from various event types to adjust and correct position data. The business logic analyzes patterns and provides feedback corrections to eliminate false notifications and improve overall position fix accuracy
2Reliability
If position fix data is used for event notifications, then asset monitoring is enhanced, but false notifications increase due to inaccurate position data
Solution Approach 1:
The patent applies preliminary action by pre-configuring business logic rules that define acceptable position variations for different event types. Before generating notifications, the system pre-processes position fix data through contextual filters that eliminate likely false positives based on the specific event context, preventing false notifications before they occur
Solution Approach 2:
The system applies local quality by tailoring the accuracy requirements and correction methods to each specific event type. Different business logic rules are applied locally to process events, security events, environmental events, and tracking events based on their specific contextual requirements, eliminating false notifications appropriate to each event category
Data Source
AI summary
Techniques for contextual based determination of accuracy of position fixes, and modification of the position fixes in accordance with the accuracy are disclosed. In one aspect, a position fix for an asset is received. The first position fix corresponds to a location of an event during shipment of the asset. If it is determined that the position fix is inaccurate, the position fix is modified in accordance with a type of the event.