Centralized Risk Detection Server Using Geospatial Spreading Patterns
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Solution Overview
Problem
Detecting emerging risks in large, distributed systems across multiple geographical areas is complex, costly, and requires extensive technical infrastructure, making it challenging to set up and maintain, especially in areas with limited or no existing risk detection infrastructure.
Innovation Solution
A computer-based risk detection system that receives and stores risk information from geographically distributed data sources, associates risks with specific geographical areas, and detects emerging risks without the need for comprehensive infrastructure, using area attributes and spreading patterns to identify risks, even in areas with limited data, and provides output data for controlling system states and operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a complex distributed technical infrastructure is implemented to detect risks in all geographical areas, then risk detection coverage and reliability are improved, but device complexity and financial costs increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary component that receives risk information from distributed data sources and performs centralized risk detection. This server acts as a mediator between the distributed sensors and the risk analysis function, consolidating the detection logic in one location rather than requiring each geographical area to have full detection capabilities. The server stores risk information from multiple sources and performs the actual risk detection based on stored data, thereby reducing the complexity of the overall system while maintaining comprehensive coverage.
2Measurement precision
If comprehensive risk indicator measurement and transmission infrastructure is deployed across multiple geographical areas, then risk detection precision is improved, but loss of substance and financial costs increase
Solution Approach 1:
The patent extracts the risk detection function from the distributed data sources and concentrates it in a centralized server. Instead of requiring each geographical area to have complete risk detection and analysis capabilities, the system extracts only the necessary risk information from distributed sources and transmits it to the server for centralized analysis. This extraction approach maintains measurement precision by preserving the distributed data collection while eliminating the need for redundant infrastructure at each location.
Solution Approach 2:
The server performs multiple functions: it stores risk information from various geographical areas, processes risk detection for multiple regions, and provides a centralized analysis point. This multi-functional approach consolidates what would otherwise require separate infrastructure in each geographical area, reducing overall resource consumption while maintaining comprehensive risk detection capabilities across all regions.
3Productivity
If distributed risk detection infrastructure is established in all geographical areas, then risk detection speed is improved, but device complexity and setup time increase
Solution Approach 1:
The server performs preliminary risk detection by continuously monitoring and analyzing risk information from all geographical areas before actual risks materialize. By maintaining a centralized repository of risk information and performing ongoing analysis, the system prepares for potential risks in advance, enabling faster response when risks are detected without requiring complex distributed infrastructure at each location.
Data Source
AI summary
A system detecting emerging risks in various systems and relating a detected risk to its relative impact on a system or product. A server receives and stores risk information from geographically distributed computerized data sources via a communication network. The risk information includes an identification and rating of a specific risk, and information associating the specific risk with a geographical area. Utilizing the risk information and area attributes, such as correlation factors and spreading patterns, a specific risk emerging in a first geographical area and spreading to one or more second geographical areas is detected. Emerging risks can be detected in geographical areas for which no risk information has been received, allowing to set up, maintain, and operate a risk detection system with a simplified technical infrastructure since it is not necessary to measure, transmit, and store risk indicators for all geographical areas for which emerging risks are detected.