Threat Data Analyzer for Interactive Geographic Mapping
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Solution Overview
Problem
Existing systems lack an efficient method to analyze and visualize threat data from various detectors to identify geographic regions posing threats to humans, particularly from harmful emissions like RF, radiation, and poisonous gases.
Innovation Solution
A system comprising a computing platform with a processing unit and non-transitory memory, equipped with a threat analyzer that receives and analyzes threat data from both stationary and wearable detectors. The system generates an interactive map via a graphical user interface (GUI) to visualize the threat data, allowing for identification of affected geographic regions and source determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If threat data from multiple detectors is collected and analyzed to identify geographic regions with threats, then the accuracy of threat identification is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex threat analysis task into distinct functional modules: data collection from multiple detectors, data transmission to computing platforms, threat data analysis to identify geographic regions, and result visualization through interactive maps. This modular segmentation reduces system complexity while maintaining high threat identification accuracy through coordinated operation of specialized components.
Solution Approach 2:
The patent introduces intermediary computing platforms that act as mediators between detectors and users. These platforms receive raw threat data from multiple detectors, perform complex analysis to identify geographic regions containing threats, and generate simplified visual representations. The intermediary processing layer reduces the burden on individual detectors and simplifies the overall system architecture.
2Speed
If real-time threat data analysis and visualization is implemented, then the response time to threats is improved, but the computational resources and energy consumption increase
Solution Approach 1:
The system implements dynamic data processing where the level of analysis and visualization detail adapts based on threat levels and system conditions. During normal conditions, processing occurs at standard rates, but when threats are detected, the system dynamically increases processing intensity for affected geographic regions while maintaining lower processing levels in safe areas, optimizing energy consumption while ensuring rapid response to threats.
Solution Approach 2:
The patent transforms threat data from raw detector readings into a spatial dimension through geographic mapping. By projecting threat data onto interactive maps with geographic coordinates, the system enables parallel processing of multiple threat indicators across different locations simultaneously, improving response time without linearly increasing computational burden at any single point.
3Reliability
If comprehensive threat data from both stationary and wearable detectors is integrated, then the coverage and reliability of threat detection is improved, but the data management and analysis complexity increase
Solution Approach 1:
The system implements a universal data management framework that handles both stationary and wearable detector data through common protocols and processing pipelines. The computing platforms are designed to universally accept threat data from diverse detector types, normalize the data formats, and apply consistent analysis algorithms, thereby improving detection reliability through comprehensive data integration while reducing management complexity through standardized procedures.
Solution Approach 2:
The patent employs data copying and replication strategies where threat data from multiple detectors is replicated across distributed computing platforms for parallel analysis. This ensures that comprehensive threat information is preserved and analyzed reliably while distributing the data management burden across multiple systems, preventing information loss and reducing the complexity burden on any single system.
Data Source
AI summary
A threat analyzer receives threat data measured by detectors. The threat data characterizes a status of detected emissions for a corresponding detector. The threat analyzer analyzes the threat data to identify a geographic region that contains a threat to humans and stores the threat data and analyzed data in a database. The machine readable instructions also include a graphical user interface (GUI) generator that provides an interactive map with indicia that characterizes the analyzed threat data.