US 12,406,090 B2
Data management system to track and distribute public data collection with user privacy protection and event token exchange
Lifeng Liu, Sudbury, MA (US); and Jian Li, Waltham, MA (US)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed on Mar. 1, 2023, as Appl. No. 18/177,012.
Application 18/177,012 is a continuation of application No. PCT/US2020/049078, filed on Sep. 2, 2020.
Prior Publication US 2023/0205928 A1, Jun. 29, 2023
Int. Cl. G06F 21/62 (2013.01); G16H 40/67 (2018.01); G16H 50/80 (2018.01)
CPC G06F 21/6245 (2013.01) [G16H 40/67 (2018.01); G16H 50/80 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for managing data in a network, comprising:
collecting data of an event, at a platform having one or more processors, of one or more users from a plurality of sensors located in the network, the sensors including personal monitoring devices and public monitoring devices;
generating, by the one or more processors of the platform, an event-specific token corresponding to the event attended by the one or more users, the event-specific token including event-specific signatures about the one or more users attending the event;
sending public data, by the platform via the network, for storage to a public storage as an aggregation of the collected data of the one or more users, the public data of the one or more users collected using the public monitoring devices and tagged with the event-specific token;
statistically analyzing the public data, by the one or more processors of the platform, collected from the plurality of sensors at the event to track interactions and assessing risks of the one or more user's potential infection of a communicable disease based on relationships between locations and times in the public data, and reports of the communicable disease at the event; and
sending an advisory alert, by the platform via the network, to the one or more users personal monitoring devices based on a result of the statistical analysis to warn the one or more users of a level of risk of harm based on attendance of the event, the event-specific token analyzed to identify a relevance of the advisory alert to each of the one or more users.