Multi-Parameter Health Risk Evaluation System Using Hash Code Correlation
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Solution Overview
Problem
Existing systems for predicting the effect of environmental parameters on human health are limited by their reliance on single weather parameters, lack of consideration for geomagnetic background and air quality, and inefficiencies in processing multiple health factors, leading to poor operational speed and complexity.
Innovation Solution
A system that integrates current and forecast weather, geomagnetic background, and air quality data to evaluate their impact on human body systems using personal and geolocation information, generating a single hash code for rapid correlation with a database to provide objective and efficient health risk assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple environmental parameters (weather, geomagnetic background, air quality) and multiple health factors are processed simultaneously, then the comprehensiveness of health evaluation is improved, but the system operation time increases
Solution Approach 1:
The patent segments the evaluation process into distinct modules: environmental data collection module, health factor identification module, correlation analysis module, and risk assessment module. Each module processes specific parameters independently before integrating results, enabling comprehensive multi-parameter evaluation while reducing overall processing time through parallel operations.
Solution Approach 2:
The system performs preliminary actions by pre-processing environmental data (weather, geomagnetic background, air quality) and pre-identifying health factors before the main correlation analysis. This preliminary processing organizes data in advance, reducing the time required for the actual evaluation when user queries are received.
2Adaptability or versatility
If multiple environmental parameters and health factors are processed simultaneously, then the comprehensiveness of health evaluation is improved, but the system complexity increases
Solution Approach 1:
The patent divides the complex evaluation system into separate functional modules: environmental data collection, health factor identification, correlation analysis, and risk assessment. This segmentation reduces system complexity by making each module independent and easier to maintain, while collectively providing comprehensive health evaluation capabilities.
Solution Approach 2:
The system employs a universal correlation analysis module that can handle multiple environmental parameters and health factors through a single integrated algorithm. This multi-functional approach avoids the need for separate specialized systems for each parameter type, reducing overall complexity while maintaining comprehensive evaluation capability.
3Ease of operation
If only individual weather parameters are considered, then the system operation is simplified, but the comprehensiveness of environmental assessment is reduced
Solution Approach 1:
The patent merges multiple environmental parameters (weather data, geomagnetic background, air quality indicators) into a unified evaluation framework. The correlation analysis module integrates these diverse parameters by establishing their relationships with health factors, maintaining operational simplicity through a single processing algorithm while achieving comprehensive environmental assessment.
Solution Approach 2:
The system uses a universal processing algorithm that can handle various environmental parameter types (temperature, pressure, magnetic field, air quality) through a single multi-functional module. This approach maintains ease of operation by using consistent processing logic while expanding comprehensiveness to cover multiple environmental domains.
Data Source
AI summary
The method and system for evaluating the effect of weather, geomagnetic background and the air on the condition of a person's body—involves the input of personal data—by a computer device user; the determination or specification of a geolocation; the transmission of the personal data and the geolocation data, to a processing unit; the requesting of environmental forecast data from a weather server; the transmission of the forecast data; the transmission of the user and forecast data to an encoder and the generation of a single hash code; the transmission of the hash code to a decoder and the correlation with a database of dependencies of the functioning of human body systems on weather, geomagnetic background and air condition parameters; and the transmission of the correlated data to a display—and the display of information about the effect of environmental parameters on the functioning of human body systems.