Spatial Information Convergence Device with Requirement-Based Data Selection
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Solution Overview
Problem
Existing surveillance and management platforms fail to integrate and utilize the unique advantages and disadvantages of various spatial information data types, such as CCTV, drones, satellite imagery, and GPS, resulting in fragmented solutions that do not meet user-specific requirements.
Innovation Solution
A device that collects spatial information data, selects appropriate sources based on user analysis, and fuses the data to provide a comprehensive solution by integrating the advantages and disadvantages of each data type, including CCTV, drones, satellite imagery, and GPS, to meet user-specific needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple spatial information data sources (CCTV, drones, satellite imagery, GPS) are collected and integrated, then the comprehensiveness and accuracy of the solution is improved, but the system complexity and data processing burden increase
Solution Approach 1:
The patent segments the spatial information data processing into distinct modules: a data collection module that gathers data from multiple sources (CCTV, drones, satellite imagery, GPS), a selection module that filters appropriate data based on user requirements, and a fusion module that integrates selected data. This segmentation allows the system to handle multiple data sources without overwhelming complexity by processing them in structured stages.
Solution Approach 2:
The patent introduces an intermediary processing layer between raw data collection and final solution delivery. The selection module acts as an intermediary that filters and prepares data before it reaches the fusion module, reducing the complexity burden on the overall system while maintaining comprehensive data integration capabilities.
2Manufacturing precision
If spatial information data is selected and fused based on user requirements, then the solution quality is improved, but the data processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by having the selection module pre-filter spatial information data based on user requirements before the fusion process begins. This preliminary selection ensures that only relevant data is processed in the fusion module, reducing unnecessary computational overhead and processing time while maintaining high solution quality.
3Adaptability or versatility
If comprehensive spatial information integration is implemented, then the versatility and adaptability of the platform is improved, but the difficulty of system operation and maintenance increases
Solution Approach 1:
The patent creates a universal platform that can handle multiple types of spatial information data (CCTV, drone footage, satellite imagery, GPS data) through a standardized architecture. The data collection module, selection module, and fusion module are designed to work with various data types uniformly, enabling the system to adapt to different user requirements without requiring separate processing pipelines for each data source, thus maintaining ease of operation despite high versatility.
Data Source
AI summary
A device for providing a spatial information convergence solution comprising: a data collection module configured to receive a plurality of spatial information data and user requirement data; a selection module configured to select needed data required for generating the requirement data from among the plurality of spatial information data; a fusion module configured to generate a spatial information convergence solution by fusing the needed data; and an output module configured to provide the spatial information convergence solution to a user terminal for the user,wherein the plurality of spatial information data include at least one of CCTV data, drone data, GPS data, satellite imagery data, and aerial data.