Health Countermeasure System Using QR Codes and Weather Data
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Solution Overview
Problem
Existing health-related countermeasure systems fail to provide quick and easy access to effective countermeasures for various health hazards during outdoor activities and work, such as heat stroke, harmful ultraviolet rays, pollen, and air pollution, and do not adequately account for future weather forecasts or individual physical conditions and activity levels.
Innovation Solution
A system that uses two-dimensional codes on health-related products to link with mobile terminal devices, which receive weather data and process information to determine the required countermeasure level, allowing users to compare product effectiveness with needed measures and adjust based on activity and physical condition, and utilizes AI for product recommendation and accumulation of user data for personalized advice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a simple functional system is used to issue cautions and warnings about heat stroke based on heat index, then the system is easy to implement, but it cannot provide comprehensive information about multiple health hazards and effective countermeasures
Solution Approach 1:
The system integrates multiple health hazard monitoring functions (heat stroke, ultraviolet rays, pollen, air pollution, cold weather) into a single platform. The mobile terminal device and information processing equipment work together to provide comprehensive countermeasure information across all these hazard types, making the system multi-functional and versatile while maintaining ease of implementation through standardized processing workflows.
Solution Approach 2:
The system segments countermeasure information by classification categories (heat stroke countermeasures, ultraviolet ray countermeasures, pollen countermeasures, etc.). Each category is evaluated independently with its own effectiveness level assessment, allowing the system to provide detailed, targeted information for each health hazard type while managing complexity through organized segmentation.
2Device complexity
If traditional weather forecast information is provided without product effectiveness comparison, then the information is simple to deliver, but users cannot determine whether their current countermeasure products are sufficient
Solution Approach 1:
The system incorporates feedback mechanisms where the mobile terminal device reads two-dimensional codes on countermeasure products, retrieves effectiveness level information, and compares it with the required countermeasure level based on current weather conditions. This feedback loop provides users with actionable information about whether their current products are sufficient or if additional countermeasures are needed.
Solution Approach 2:
The health-related countermeasure information processing equipment acts as an intermediary between weather forecast data and users. It processes weather information, determines required countermeasure levels, retrieves product effectiveness information from two-dimensional codes, and presents comprehensive comparisons to users, bridging the gap between raw weather data and actionable countermeasure advice.
3Ease of operation
If general countermeasure information is provided without considering individual physical conditions and activity levels, then the system is simple to operate, but it cannot provide personalized countermeasure recommendations
Solution Approach 1:
The system provides localized, personalized countermeasure recommendations by considering individual user characteristics such as physical condition and planned activity levels. The required countermeasure level is determined based on the specific combination of weather conditions, user physiology, and activity intensity, delivering tailored advice rather than generic recommendations.
Data Source
AI summary
To easily know how much a health-related countermeasure product has a countermeasure effect level, and how much countermeasure can be taken against regional weather environment forecast information. A two-dimensional code 1 incorporating countermeasure effect level information for each health-related countermeasure category is attached to a product. On the other hand, there is a mobile terminal device 2 capable of automatically inputting the planned activity amount in exercise and work, the physical condition status, the pulse rate, and the body temperature. The health-related countermeasures information processing equipment 3 connected to the communication network also obtains weather information such as temperature, humidity and heat index, ultraviolet rays, and pollen scattering amount for each region from the weather forecast prediction data transmission device 4. Then, the necessary countermeasure level is generated. Then, it is determined to be compared with the countermeasure effect level of the product. The result will be useful for selecting the product. In addition, an information system that obtains hindrance occurrence prediction information generated by a deep learning method from the progress history of the above information and related countermeasure product promotion information.