Interactive Geospatial Map for Asset Tracking
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Solution Overview
Problem
Current systems lack an efficient method for dynamically tracking and visualizing asset locations from diverse data sources in real-time, leading to redundant information, gaps, and format inconsistencies, which complicates asset monitoring and management.
Innovation Solution
A system that integrates data from various sources using data mining, normalization, and parsing techniques to deduplicate and standardize asset location data, visualizing it on interactive maps and tables, allowing for real-time updates and filtering based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from multiple diverse sources is integrated to track asset locations, then tracking coverage and information completeness is improved, but data redundancy and format inconsistencies increase
Solution Approach 1:
The patent introduces a centralized database system that acts as an intermediary between diverse data sources and the tracking interface. This database receives, stores, and standardizes location data from multiple sources (GPS devices, RFID tags, manual entries, third-party systems) into a unified format, eliminating the need for complex real-time processing at the interface level while maintaining information completeness from all sources
Solution Approach 2:
The system transforms heterogeneous data from various sources by changing their parameters to a standardized format. Different data sources with varying formats, coordinate systems, and update frequencies are converted into a common data structure with unified parameters, enabling consistent tracking without losing information from any source
2Measurement precision
If real-time data processing is implemented to track asset movement, then tracking accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system implements periodic data updates rather than continuous real-time processing. Assets are tracked at scheduled intervals (e.g., hourly, daily, or at key location changes), which maintains sufficient tracking accuracy for most applications while dramatically reducing computational overhead and processing time compared to continuous monitoring
Solution Approach 2:
The database system performs preliminary data validation, filtering, and standardization as data is ingested from various sources, before the actual tracking queries are executed. This pre-processing ensures that only clean, standardized data requires processing during tracking operations, reducing the time needed for accurate location determination
3Loss of information
If detailed location data is displayed for all assets, then information completeness is improved, but user interface complexity and data overload increase
Solution Approach 1:
The interface allows users to customize the level of detail displayed for different assets or asset groups based on local needs. High-priority assets can show detailed location and status information, while lower-priority assets display only essential data. This localized quality adjustment maintains information completeness when needed while improving usability through selective detail presentation
Solution Approach 2:
The system segments the large set of asset data into manageable groups or categories (e.g., by asset type, location region, or organizational department). Users can view and interact with segmented data sets independently, reducing the perceived complexity and overload while maintaining access to complete information through filtering and drilling-down capabilities
Data Source
AI summary
A computer-implemented method is provided to visualize data related to one or more assets utilizing an interactive geospatial map. The system may receive query criteria, indicating a geographic region of interest and/or timespan of interest, and may access a plurality of datasets including a first dataset comprising data items associated with default locations of assets and a second dataset comprising data items associated with transit events of assets, and wherein the plurality of datasets are associated with geographic locations and respective times. The system may query the plurality of datasets to determine, for assets associated with the one or more data items, expected geographic locations of the assets, and may generate user interface data configured for rendering an interactive user interface including an interactive geospatial map with indications of the expected geographic locations of the assets, and a plurality of interactive tables.