Route Navigation Database Data Filtering and Storage Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current navigation database systems for vehicles like locomotives face challenges in generating and managing track or path features and locations data, requiring significant storage capacity and lacking efficient data processing methods to reduce data complexity.
Innovation Solution
A method that acquires route data in a first format, re-formats it into a second format, filters it to reduce the number of locations, and stores the dataset in computer memory, using techniques like conflict resolution, data standardization, and adaptive point spacing to create a navigation database system capable of handling survey data efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If route data is stored in complete detail with all survey locations, then data accuracy is maintained, but data storage requirements increase significantly
Solution Approach 1:
The patent extracts and removes redundant route location data from the complete survey dataset, keeping only the essential locations needed for navigation. This extraction process eliminates unnecessary data points while preserving the critical information required for accurate route guidance, thereby reducing storage requirements without sacrificing data accuracy.
Solution Approach 2:
The patent applies different data retention strategies to different sections of the route based on local characteristics. High-detail data is preserved in areas requiring precise navigation, while lower-detail representations are used in less critical sections. This localized quality approach optimizes the balance between data accuracy and storage efficiency by matching data detail to actual navigation needs.
2Loss of information
If all survey locations are retained in the navigation database, then complete route information is available, but system complexity increases
Solution Approach 1:
The system extracts and removes redundant route location data from the complete survey dataset, keeping only the essential locations needed for navigation. This extraction process eliminates unnecessary data points while preserving the critical information required for accurate route guidance, thereby reducing storage requirements without sacrificing data accuracy.
Solution Approach 2:
The patent segments the route data into meaningful sections or zones, organizing the data structure to reflect logical divisions in the route. This segmentation allows the system to manage complex route information more efficiently by breaking it down into manageable segments, reducing overall system complexity while maintaining information completeness.
3Measurement precision
If route data is processed with detailed filtering criteria, then data accuracy improves, but processing time increases
Solution Approach 1:
The patent applies preliminary filtering and processing to the route data during the database generation phase, before the data is used for navigation. By performing data filtering, validation, and optimization in advance, the system ensures high data accuracy is achieved upfront, eliminating the need for time-consuming processing during actual navigation operations.
Solution Approach 2:
The patent transforms route data from one format to another, changing parameters such as coordinate systems, data structures, and representation methods. This parameter transformation optimizes the data for both accuracy and efficient processing, allowing the system to maintain high precision while reducing processing time through optimized data representation.
Data Source
AI summary
A computer-readable storage medium having stored thereon a computer program including instructions, which, when executed by a computer, cause the computer to acquire route data in a first format for a route, the route data comprising a plurality of route parameters for a plurality of route locations. The computer is further programmed to re-format the acquired route data in the first format into a second format different from the first format, filter the reformatted route data into a route dataset having a lesser number of route locations than the number of route locations in the acquired route data, and to store the route dataset in computer memory.