Data Processing Server Map Visualization Automation
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Solution Overview
Problem
Conventional data processing methods require users with limited knowledge and skill to manually select and combine processing components, making it cumbersome and difficult to determine when to stop combining components, especially when processing data from websites like portal sites.
Innovation Solution
A data processing supporting method executed by a server that receives a search string, breaks it down, acquires related data, stores and associates the information, determines if it includes latitude/longitude data, and performs polygon, mesh, or pin display processing based on flags, allowing easy data processing and visualization on a map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually select and combine processing components to process data, then processing flexibility is improved, but operation complexity increases and ease of operation deteriorates
Solution Approach 1:
The system automatically determines and executes appropriate processing components based on the input data characteristics. The processor analyzes the data structure and autonomously selects processing components without requiring user intervention, making the system self-serve the data processing needs while maintaining flexibility through automatic adaptation to different data types
Solution Approach 2:
The system changes the state of data processing from manual component selection to automated parameter-based selection. By detecting data characteristics (parameters) and automatically configuring processing components accordingly, the system maintains processing flexibility while eliminating the complexity of manual component combination
2Adaptability or versatility
If users manually combine processing components one by one, then processing customization is improved, but time consumption increases and productivity deteriorates
Solution Approach 1:
The system performs preliminary analysis of the input data to determine the appropriate processing components in advance. By pre-determining the processing configuration based on data characteristics before execution, the system eliminates the need for manual step-by-step component combination, significantly reducing time consumption while maintaining customization through automatic data-driven selection
Solution Approach 2:
The patent replaces the mechanical process of manual component selection and combination with an automated information-processing system. The processor uses algorithms to analyze data and automatically configure processing components, substituting human manual operations with automated decision-making that achieves both customization and high productivity
3Adaptability or versatility
If the system provides multiple processing component options, then processing adaptability is improved, but decision complexity increases and ease of operation deteriorates
Solution Approach 1:
The system eliminates decision complexity by making the processing component selection self-service. The processor automatically analyzes input data characteristics and selects appropriate processing components without requiring user decision-making, thereby maintaining processing adaptability while removing the burden of decision complexity from the user
Solution Approach 2:
The system incorporates feedback mechanisms where the processor continuously monitors data characteristics and adjusts processing component selection accordingly. This feedback loop enables the system to adapt to different data types automatically, providing processing adaptability while the automated feedback mechanism eliminates the complexity of manual decision-making
Data Source
AI summary
A search string including a location name is received from a client terminal, the search string is broken down, related data of each broken down (BD) information is acquired from a website, each BD information and its related data are stored in a storage unit in association with each other. For each BD information, it is determined whether a record of the related data includes a plurality of pieces of latitude/longitude information. A mesh display flag or a pin display flag is set to the BD information in the storage unit based on a result of the determination. Polygon display processing, mesh display processing, or pin display processing on a map is executed on the related data of the BD information based on a value of the mesh display flag and a value of the pin display flag, and a result of the processing is transmitted to the client terminal.