Regional Map Zoom Tables for Efficient Data Transmission
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Solution Overview
Problem
Current digital map rendering technologies face challenges in efficiently managing and processing map data across different zoom levels, leading to increased storage requirements, processor intensity, and unnecessary data retrieval, particularly when using vector data, which can result in inefficient use of network and computing resources.
Innovation Solution
A computer-implemented method that generates a local zoom table at a server, indicating available zoom levels for map data, allowing clients to receive only necessary data, reducing unnecessary data retrieval and processing by specifying which zoom levels have new map data available, thereby optimizing data transmission and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vector data is used for map rendering, then image data can be easily scaled and manipulated, but processing becomes much more time consuming and processor intensive
Solution Approach 1:
The patent segments map data into discrete zoom levels with associated zoom tables that indicate which zoom levels have new data available. This allows the system to send only necessary vector data for specific zoom levels rather than all data, reducing processing load while maintaining the ability to scale and manipulate map data when needed.
Solution Approach 2:
The patent applies partial action by sending only the portions of vector data that are actually needed for the requested zoom levels, rather than transmitting complete map datasets. The zoom table mechanism enables selective data transmission for specific zoom levels, reducing processor intensity while preserving scalability capability.
2Loss of information
If all zoom levels of map data are transmitted, then clients have complete data availability, but unnecessary data retrieval increases network and processing resources consumption
Solution Approach 1:
The patent extracts the zoom level availability information into a separate zoom table structure that is transmitted alongside map data. This zoom table contains only the necessary metadata indicating which zoom levels have new data, allowing clients to extract and process only the relevant portions of data rather than receiving and processing complete datasets for all zoom levels.
Solution Approach 2:
The server performs preliminary action by pre-generating and transmitting zoom tables that indicate data availability before the client needs to process the map data. This advance information allows clients to prepare and process only the necessary zoom levels, reducing network and processing resources consumption while ensuring complete data availability when needed.
3Reliability
If labels are downloaded and redrawn every time zoom level changes, then label information is always up to date, but this creates redundant processing and increases time consumption
Solution Approach 1:
The patent applies preliminary action by pre-organizing label data into the zoom table structure that indicates which zoom levels have updated label information. This allows clients to retrieve and process label data only for the specific zoom levels that have changes, rather than redrawing all labels on every zoom level change, thus maintaining label accuracy while reducing time consumption.
Data Source
AI summary
A graphics or image rendering system builds application-oriented tables on a server that are downloaded to a client device responsive to a request for map data from the client device in association with a mapping application at the client device. The table or tables specify by geographic region which zoom levels have map data different from other zoom levels and may apply to many types of map data including map vector data, map label data, satellite image data, traffic data, transit status, etc. The table or tables allow the mapping application to skip zoom levels for which no new data is available, or conversely, reuse data from other levels when rendering a level not requiring new data from the server.