Spatial Mapsheet Clipping for Faster Map Data Updates
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Solution Overview
Problem
Existing map data updating processes are inefficient and costly due to the large data volumes and frequent manual switching of tasks, particularly in updating map data based on operation task packages that include multiple mapsheets.
Innovation Solution
A method involving clipping processing on target mapsheet data within a spatial update range to obtain first target mapsheet data, followed by updating the first map data based on this data and the update information, reducing data volume and improving operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional map data updating processes use complete mapsheets for storage and circulation, then data completeness is maintained, but data volume becomes large and processing efficiency decreases
Solution Approach 1:
The patent segments the complete mapsheet data into multiple clipped data portions based on spatial update ranges. Instead of processing entire mapsheets, the system divides and processes only the relevant spatial segments containing update information, thereby reducing data volume while maintaining updating completeness.
Solution Approach 2:
The patent extracts only the necessary target data from complete mapsheets by performing clipping operations based on spatial update ranges. This extraction process removes unnecessary data portions, keeping only the relevant update information and its spatial context, thus reducing data volume for storage and processing.
2Speed
If operation task packages include multiple complete mapsheets, then spatial coverage is complete, but bandwidth occupancy increases and processing speed decreases
Solution Approach 1:
The patent segments mapsheet data into multiple clipped portions based on spatial update ranges associated with different update materials. By dividing the processing task into spatial segments, the system processes smaller data units in parallel, improving processing speed while reducing overall data volume in operation task packages.
Solution Approach 2:
The patent applies partial action by clipping mapsheet data to include only the portions necessary for each update material's spatial update range. This avoids processing excessive data beyond what is needed for each specific update, thereby reducing bandwidth occupancy and improving processing speed.
3Ease of operation
If manual switching of tasks is performed frequently for map data updates, then update accuracy is maintained, but operational complexity and time consumption increase
Solution Approach 1:
The patent merges multiple clipping operations and update processes into an integrated automated workflow. By combining spatial range analysis, data clipping, and update operations into a unified process, the system eliminates the need for frequent manual task switching, reducing operational complexity and time consumption while maintaining update accuracy.
Solution Approach 2:
The patent implements self-service through automated spatial update range analysis and data clipping. The system automatically identifies relevant spatial ranges, performs appropriate clipping operations, and processes updates without requiring manual intervention, thereby simplifying operations and reducing time consumption.
Data Source
AI summary
This disclosure provides a map data updating method, a map data updating apparatus and an electronic device, and relates to the field of map technology. The method includes: obtaining update information of first map data, and a mapsheet in the first map data that corresponds to the update information; performing, based on a spatial update range of the update information, clipping processing on target data of the mapsheet to obtain first target mapsheet data, the first target mapsheet data including data in the target data that is within the spatial update range; updating, based on the first target mapsheet data and the update information, the first map data.