GIS Streaming Moving Objects API
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Solution Overview
Problem
Current Geographic Information Systems (GIS) face challenges in processing and presenting dynamic information related to multiple moving objects with varying locations, speeds, and trajectories, often requiring multiple tools and specialized skills, and struggle to efficiently handle real-time data across different formats.
Innovation Solution
A GIS system utilizing video streaming sensor nodes and an Application Programming Interface (API) that enables clients to access and visualize dynamic information of moving objects, incorporating data from mobile video sensors and streaming technologies for real-time processing and analysis, allowing for visual querying and rendering of trajectories with uncertainty aspects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple disparate tools are used to process and analyze geospatial data in real-time, then processing capability is improved, but system complexity and cost increase
Solution Approach 1:
The patent combines multiple disparate geospatial processing tools into a single integrated system that handles heterogeneous data sources, moving object tracking, and real-time analysis through unified software modules, eliminating the need for multiple separate tools while maintaining processing capability
Solution Approach 2:
The system implements a universal geospatial processing platform that can handle multiple data formats, various types of moving objects, and different analysis requirements through a single multi-functional system, reducing both complexity and cost
2Loss of information
If comprehensive dynamic information of multiple moving objects is presented, then information completeness is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the complex task of tracking multiple moving objects into distinct functional modules: data reception module, trajectory prediction module, uncertainty calculation module, and visualization module. Each module handles a specific aspect of the problem independently, reducing overall processing complexity while maintaining information completeness
Solution Approach 2:
The system introduces an intermediary processing layer that standardizes heterogeneous data from different sources into a unified format, managing the complexity of integrating multiple data types while preserving all relevant information about moving objects
3Measurement precision
If real-time video streaming from mobile sensors is processed, then dynamic information accuracy is improved, but bandwidth consumption increases
Solution Approach 1:
The system extracts only the essential dynamic information (position, velocity, trajectory) from video streams using efficient computer vision algorithms, rather than transmitting and processing entire video frames, thereby maintaining measurement precision while significantly reducing bandwidth consumption
Solution Approach 2:
The system processes video data at selective intervals and only for regions containing moving objects of interest, rather than continuously analyzing entire video streams, achieving sufficient accuracy while minimizing bandwidth usage
Data Source
AI summary
A geographical information system (GIS) is described that enables querying, analysis and visualization of real-time streaming data pertaining to at least one moving object or entity (e.g., vehicles, people, sensors, weather phenomena, etc.) in conjunction with relatively static multi-temporal geospatial data. An application programming interface is provided to present the GIS functionality for handling dynamically moving objects or entities to clients.