Dynamic Alert Resolution Service for Geographically Dispersed Groups
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Solution Overview
Problem
Existing systems lack an efficient method to dynamically determine and communicate with a geographically dispersed group of persons and devices to resolve alerts in real-time, such as device theft or child safety, across varying locations and circumstances.
Innovation Solution
An alert resolution service that collects real-time data from devices and data profiles to dynamically determine a group of persons and devices based on attributes, using a monitoring module, data store, alert module, group determination module, and alert resolution module to communicate and take action on alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data collection from multiple devices and data profiles is performed to dynamically determine geographically dispersed groups, then alert resolution accuracy and relevance are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex task of alert resolution into distinct functional modules: a monitoring module that collects data from devices and data profiles, an alert module that generates alerts, a group determination module that identifies relevant geographically dispersed groups, and an alert resolution module that communicates with identified groups. This segmentation reduces system complexity by organizing functions into manageable, independent components while maintaining high alert resolution accuracy through coordinated operation of these modules.
Solution Approach 2:
The patent introduces an alert resolution service as an intermediary layer between data collection and alert resolution actions. This service acts as a mediator that receives alerts, dynamically determines appropriate geographically dispersed groups based on real-time data, and facilitates communication between the system and relevant persons or devices. The intermediary simplifies the overall system architecture by centralizing the complex decision-making logic in a dedicated service layer.
2Reliability
If dynamic group determination based on real-time attributes is implemented, then relevance of contacted individuals and devices is improved, but processing time and computational resources increase
Solution Approach 1:
The monitoring module performs preliminary actions by continuously collecting and storing data from devices and data profiles before alerts are generated. This pre-collection and organization of real-time data ensures that when an alert occurs, the group determination module can quickly query existing data structures rather than gathering information from scratch, thereby maintaining high relevance of contacted groups while minimizing processing time during critical alert scenarios.
3Adaptability or versatility
If comprehensive data collection from devices and profiles is performed, then ability to resolve diverse alert types is improved, but data storage and management requirements increase
Solution Approach 1:
The patent implements a universal data collection framework where the monitoring module gathers diverse information from multiple devices and data profiles using a unified approach. The system is designed to handle various alert types (device theft, child safety, access control) through a single multi-functional architecture that can adapt to different scenarios. This universality allows comprehensive alert type coverage without proportionally increasing data storage requirements, as the same infrastructure serves multiple purposes.
Data Source
AI summary
Described herein are techniques for receiving an alert associated with an entity and dynamically determining, based on the alert and on substantially real-time attributes for the entity, a geographically dispersed group in which each member of the geographically dispersed group either is a device associated with the entity or shares at least one attribute with the entity. The techniques further include requesting information about the entity from the geographically dispersed group, receiving information from at least a subset of the group, and taking action responsive to the alert based on the received information.