Location-Based User Device Status During Biological Threat Events
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Solution Overview
Problem
Existing computing systems face challenges in efficiently providing optimal emergency preparedness information and effective communication during emergencies due to complexities in identifying users, entering identifiers, and exchanging response phase communications, especially during high traffic volumes, which can overwhelm public networks like cellular networks.
Innovation Solution
A computing system that includes user devices, wireless location and communication networks, application and information servers, and remote application servers to facilitate emergency preparedness planning, drilling, and efficient communication by determining relevant checklists, drill scenarios, and user status updates through location-based services and group affiliations, utilizing wireless communication protocols like GPS and cellular networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional communication methods (voice calls, text messaging) are used during emergencies, then users can communicate with each other, but the public networks (cellular networks) become overwhelmed due to high traffic volumes
Solution Approach 1:
The patent introduces an intermediary system (emergency response system with servers and processors) that mediates between users and the public cellular network. Instead of users directly communicating through the cellular network, the system collects status information from users, processes it, and broadcasts it through alternative channels (social media, emergency alert systems), thereby reducing the burden on cellular networks while maintaining communication reliability.
Solution Approach 2:
The system enables users to automatically report their status (OK, needing help, etc.) without manually initiating communication calls or messages. Users simply update their status through the application, and the system automatically handles the communication dissemination, freeing users from the burden of manual communication during emergencies.
2Ease of operation
If users manually identify each other and enter identifiers during emergencies, then communication can be targeted, but the process becomes complex and time-consuming under high stress
Solution Approach 1:
The system performs preliminary actions by pre-establishing user profiles, groups, and communication preferences before the emergency occurs. During the emergency, users simply need to update their status rather than performing manual identification and identifier entry, as the system already has the necessary user information and contact lists prepared in advance.
Solution Approach 2:
The system automatically handles user identification and communication routing based on pre-stored user profiles and group affiliations. Users don't need to manually identify each other or enter identifiers; the system self-determines who to contact based on the emergency context and user status updates.
3Loss of information
If comprehensive emergency preparedness information is provided to all users, then information completeness is improved, but the system complexity and information processing burden increase
Solution Approach 1:
The system applies local quality by tailoring emergency information to specific users or groups based on their location, preferences, and emergency relevance. Instead of providing the same comprehensive information to everyone, the system filters and prioritizes information based on individual user contexts, reducing processing burden while maintaining information completeness for each user's specific needs.
Solution Approach 2:
The system segments emergency information into different categories and prioritizes it based on urgency and relevance. Critical information is immediately disseminated to affected users, while less critical information is processed and delivered at appropriate times, reducing the immediate processing burden during emergencies while maintaining overall information completeness.
Data Source
AI summary
A method includes identifying a first user device associated with local status information indicating a need for medical attention and establishing a biological threat event for the first user device. The method further includes establishing event timeline information of the biological threat event to include time information of historical geographic location coordinate information of the first user device. The method further includes identifying a second user device potentially associated with the biological threat event based on time information of historical geographic location coordinate information of the second user device. The method further includes identifying a third user device potentially associated with the biological threat event based on the time information of the historical geographic location coordinate information of the second user device and time information of historical geographic location coordinate information of the third user device. The method further includes issuing status information to the third user device.