Raster-Based Geodatabase Processing for Location-Aware Data Integration
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Solution Overview
Problem
Current systems for processing geodatabase information from location-aware devices face inefficiencies in updating and extending geographic information systems, particularly due to differences in scale, sample density, and vector type, which can lead to inaccurate and resource-intensive data processing.
Innovation Solution
The implementation of a raster-based data structure and processing system that converts vector-based data from location-aware devices into a multidimensional space-time matrix representation, allowing for efficient data processing and integration of information from multiple sources, including the use of data voting units, indexing, and deriving geo-information through neural networks or reservoir computing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vector-based data processing is used to integrate location-aware device data with geodatabases, then data accuracy can be maintained, but processing efficiency deteriorates due to resource-intensive operations and bottlenecks
Solution Approach 1:
The patent introduces a raster-based data structure as an intermediary representation format between vector-based geodatabase data and vector-based location-aware device data. This intermediary allows efficient comparison and integration by providing a common reference framework, resolving the contradiction between maintaining accuracy and improving processing efficiency.
Solution Approach 2:
The patent transforms the data processing approach by changing the representation parameters from vector-based to raster-based. This parameter change enables more efficient processing operations while maintaining the ability to derive accurate geo-information through the raster representation and its relationship to the underlying vector data.
2Reliability
If data from multiple location-aware devices is integrated to improve geo-information accuracy, then data reliability improves, but device complexity increases due to handling differences in scale, sample density, and vector type
Solution Approach 1:
The patent applies homogeneity by converting diverse data from multiple location-aware devices into a unified raster-based representation. This standardization eliminates differences in scale, sample density, and vector type, allowing reliable integration of multi-source data while reducing processing complexity through a consistent data format.
3Stability of the object's composition
If traditional vector processing methods are used to update geodatabases, then data integrity is maintained, but loss of time occurs due to inability to process data in real-time
Solution Approach 1:
The patent performs preliminary conversion of vector-based location-aware device data into raster-based representation before integration with the geodatabase. This preliminary action enables more efficient processing and real-time updates while maintaining data integrity through the structured raster format and its relationship to the vector-based geodatabase.
Data Source
AI summary
A system is described for processing data of at least one location aware devices for obtaining geo-information. The system comprises an input means for obtaining vector-based data from at least one location aware devices, a data processor for inserting information from the vector-based data into a raster-based data structure so as to derive geo-information based on the raster-based data structure. A corresponding method as well as corresponding computer program products also are described.