Real-Time Data Transmission System for Trigger Events
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Solution Overview
Problem
Conventional systems lack the capability to identify user actions associated with priorities and transmit relevant data in real-time to third party entities, hindering process efficiency.
Innovation Solution
A system that monitors user activities, identifies priority-related actions, extracts and transmits user data in real-time to third party entities upon consent, using a computing device with processing and communication capabilities, and network communication interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional systems are used to transmit user data to third party entities, then data transmission can occur, but real-time transmission capability is lost and process efficiency deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously monitoring user activities and pre-identifying priority-related actions before third parties need the data. Trigger events are detected in advance, and data extraction is prepared beforehand, enabling immediate real-time transmission when needed without processing delays.
Solution Approach 2:
The system implements feedback mechanisms where transmission status and user consent responses are continuously monitored. This feedback loop allows the system to adjust data extraction and transmission operations dynamically, ensuring real-time capability while maintaining user control and system efficiency.
2Reliability
If continuous monitoring of user activities is implemented, then real-time data transmission capability is improved, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: trigger event detection module, priority identification module, data extraction module, and transmission module. Each module handles specific tasks independently, reducing overall system complexity while maintaining real-time monitoring capability and reliability.
Solution Approach 2:
The system employs universal components that perform multiple functions. For example, the data extraction mechanism serves both real-time transmission needs and historical analysis requirements, while the monitoring infrastructure supports various types of user activities across different applications, reducing redundancy and simplifying the system architecture.
3Productivity
If user data is extracted and transmitted dynamically, then process efficiency is improved, but user privacy concerns increase
Solution Approach 1:
User consent is obtained in advance through preliminary actions. The system prompts users for consent before extracting and transmitting their data, and maintains records of authorized third parties. This pre-established authorization framework enables efficient real-time data sharing while protecting user privacy through informed consent.
Solution Approach 2:
The system acts as an intermediary between users and third parties, controlling and mediating all data transmissions. It verifies user consent, manages third-party access rights, and filters data based on authorization levels. This intermediary role streamlines the data sharing process for efficiency while simultaneously protecting user privacy through centralized control and audit capabilities.
Data Source
AI summary
Embodiments of the present invention provide a system for real-time transmission of data associated with trigger events. The system is configured for identifying one or more priorities associated with a user, extract one or more triggers associated with the one or more priorities of the user, receiving an indication that at least one condition associated with at least one of the one or more triggers is met, determining that the user is performing one or more actions associated with at least one priority of the one or more priorities based receiving the indication, in response to determining that the user is performing the one or more actions associated with the at least one priority, dynamically extracting information associated with the user, and transmitting, in real-time, the extracted information associated with the user to at least one third party entity.