Cognitive emergency management on a 5G telecom network
US10827335B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2019 |
| Grant date | Nov 3, 2020 |
| Priority date | — |
| Expiry date | Jun 19, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W84/005
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A self-learning 5G cognitive emergency-management system responds to a triggering condition by instructing a network to open an ad hoc channel to Internet of Things (IoT) devices associated with a mass assembly of users. The system begins tracking the movements of the assembly members by performing trilateration procedures on each user's IoT device. Using artificial intelligence or cognitive analytics, the system identifies and correlates patterns in the aggregated movements of the assembly with other tracked parameters received from the IoT devices and with contextual information retrieved from extrinsic sources. The system infers aggregated user sentiment from these correlations and determines whether the movements or sentiment suggest that an unexpected event is having an adverse impact on the assembly. If so, the system takes corrective action, such as notifying an emergency-management resource or transmitting information or instructions to the assembly members.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.