Mobile Aggregation Device for Offline Community Data Recovery
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Solution Overview
Problem
Existing infrastructure struggles to quickly recover normal operational mode after natural disasters or emergencies, and existing technologies fail to efficiently aggregate and distribute data between network devices that go online and offline due to intermittent power or connectivity issues.
Innovation Solution
A computer-implemented method using a mobile aggregation device to aggregate and deliver data within an offline community by instantiating an emergency mode, defining a community of devices, establishing communication with the mobile aggregation device, and employing artificial intelligence as a virtual network function to assess events based on gathered data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing infrastructure is used for network operations, then normal operational mode can be maintained, but recovery after natural disasters or emergencies is slow and inefficient
Solution Approach 1:
The system performs preliminary actions by pre-establishing emergency communication protocols and data aggregation mechanisms before disasters occur. Devices are pre-configured to automatically enter emergency mode and form mesh networks, eliminating the need for time-consuming post-disaster setup and enabling immediate recovery operations
Solution Approach 2:
The network is segmented into independent operational modes (normal and emergency) that can function autonomously. During emergencies, the system segments communication into local mesh networks that operate independently from the main infrastructure, allowing recovery operations to proceed without waiting for full infrastructure restoration
2Adaptability or versatility
If network devices operate with intermittent power or connectivity, then flexibility is maintained, but efficient data aggregation and distribution becomes difficult
Solution Approach 1:
The system implements periodic action through scheduled data synchronization intervals and cyclic mesh network formation. Devices periodically attempt to establish connections, aggregate data locally during disconnection periods, and synchronize when connectivity is restored, maintaining productivity despite intermittent operation
Solution Approach 2:
Mobile aggregation devices serve as intermediaries between offline devices and the main network. These devices collect data from multiple sources during connectivity gaps and relay aggregated information when connected, solving the efficiency problem of intermittent data transmission
3Loss of information
If a mobile aggregation device is deployed to aggregate data in offline communities, then data collection capability is improved, but device complexity increases
Solution Approach 1:
Mobile aggregation devices are designed with multi-functionality, serving as data collectors, mesh network nodes, and communication relays simultaneously. This universal design consolidates multiple functions into a single device type, managing complexity while maximizing data collection capability across diverse emergency scenarios
Data Source
AI summary
A method, where the method includes discovering an event where at least one device is offline and instantiating an emergency mode causing the at least one device to permit data or message aggregation. The method further includes defining a community of devices including an identity of the at least one device and establishing communication between the at least one device and a mobile aggregation device. The method further includes when the mobile aggregation device is in communication with the at least one device, aggregating a payload of a message or data from the at least one device and the community having an artificial intelligence instantiated as a virtual network function or network device, the community communicating with the mobile aggregation device to receive data from the at least one device, and the artificial intelligence being configured to assess the event based on the data obtained by the mobile aggregation device.