TRACKING PROXIMITY RELATIONSHIPS AND USES THEREOF

• US 20170352119A1
• Filed: 06/02/2017
• Published: 12/07/2017
• Est. Priority Date: 06/03/2016
• Status: Active Grant

• Current Assignee: Bentley Systems Incorporated
• Original Assignee: Blyncsy, Inc.
• Inventors: Pittman, Mark Eric, Robison, Chris, Cosmano, Justin
• Granted Patent: US 10,198,779 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A method may include receiving data about a first person and a second person, the first person having a contagion. The method may include determining whether a first location is within a proximity distance to a second location. The method may include determining whether a first time is within a proximity time period with a second time. The method may include defining a proximity relationship for the second person relative to the first person. The defined proximity relationship may be positive when the first location is within the proximity distance and first time is within the proximity time period, or the defined proximity relationship may be negative when either the first location is not within the proximity distance or first time is not within the proximity time period. When the proximity relationship is positive, the second person may be labeled as being contaminated by the contagion.

Claims

1. A method of determining proximity relationships, comprising:

receiving first data regarding a first person at a first location at a first time, wherein the first person has a contagion;

receiving second data regarding a second person a second location at a second time;

determining whether the first location is within a proximity distance to the second location, wherein the proximity distance has a predetermined value, wherein the predetermined value of the proximity distance is defined by the contagion;

determining whether the first time is within a proximity time period with the second time, wherein the proximity time period has a predetermined value, wherein the predetermined value of the proximity time is defined by the contagion;

defining a proximity relationship for the second person relative to the first person, wherein the defined proximity relationship is positive when the first location is within the proximity distance and first time is within the proximity time period, or the defined proximity relationship is negative when either the first location is not within the proximity distance or first time is not within the proximity time period;

when the proximity relationship is positive, labeling the second person as being contaminated by the contagion;

when the proximity relationship is negative, labeling the second person as being uncontaminated by the contagion; and

saving the label of the second person relative to whether being contaminated or uncontaminated.

2. The method of claim 1, wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system.

3. The method of claim 1, wherein the first location is within a first contagious zone of a first signal tracking device.

4. The method of claim 1, wherein the first data and second data are real time data or historical data.

5. The method of claim 1, wherein the first time is designated to be within a contagion timeframe, and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time.

6. The method of claim 1, wherein the first location is one or more of:

within a strong proximity zone of the first signal tracking device, the strong proximity zone being defined by an area where contagion is highly contagious;

within a medium proximity zone of the first signal tracking device, the medium proximity zone being defined by an area where contagion is moderately contagious;

within a weak proximity zone of the first signal tracking device, the weak proximity zone being defined by an area where contagion is weakly contagious;

outside of a weak proximity zone of the first signal tracking device, where being outside of the weak proximity zone is defined by an area where contagion is not contagious.

7. The method of claim 1, wherein the first timeframe is one or more of:

within a short timeframe, the short timeframe being defined as within a highly contagious timeframe;

within a medium timeframe, the medium timeframe being defined as within a moderately contagious timeframe;

within a long timeframe, the long timeframe being defined as within a minimally contagious timeframe;

longer than a long timeframe, the long timeframe being defined as a non-contagious timeframe.

8. The method of claim 1, wherein the contagion is any virus or microbe or organism or chemical or radiation emitter or other communicable entity.

9. The method of claim 1, wherein the second person does not have the contagion prior to the proximity relationship being positive.

10. The method of claim 1, wherein when the proximity relationship is positive, performing the method with a third person relative to the second person.

13. The method of claim 1, further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data.

14. The method of claim 1, further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data, and performing one or more of the following:

providing travel instructions to travel away from a contagion zone;

providing travel instructions to a safe zone;

modulating traffic lights on the predicted travel route.

15. The method of claim 1, further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship in real time.

16. The method of claim 1, further comprising:

obtaining the proximity relationships of a plurality of second persons relative to one or more first persons; and

modeling spread of the contagion based on facts of the contagion and the proximity relationships.

17. The method of claim 1, further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons, or when a second person becomes infected and then is a first person in subsequent travel.

18. The method of claim 1, further comprising:

providing travel data to safe location to a second person;

determining the second person has been exposed to the contagion and labeling the second person as a new first person; and

providing travel data to a place for contaminated first persons to the new first person.

11. The method of one of the claims, wherein the MCD is associated with a person, the MCD has an opted-in application.

12. The method of claim, wherein the opted-in application performs one or more of:

pushing travel instructions to an MCD based on its proximity relationship being positive or negative;

providing contagion information about the contagion to an MCD upon determination of an epidemic of the contagion;

providing the proximity relationship to a proximity relationship database on a server computing system, which is stored as either positive or negative.

19. A method of determining proximity relationships, comprising:

receiving first data regarding a first person at a first location at a first time, wherein the first person is at a first event;

receiving second data regarding a second person a second location at a second time;

determining whether the first location is within a proximity distance to the second location, wherein the proximity distance has a predetermined value, wherein the predetermined value of the proximity distance is defined by the first event;

determining whether the first time is within a proximity time period with the second time, wherein the proximity time period has a predetermined value, wherein the predetermined value of the proximity time is defined by the first event;

defining a proximity relationship for the second person relative to the first person, wherein the defined proximity relationship is positive when the first location is within the proximity distance and first time is within the proximity time period, or the defined proximity relationship is negative when either the first location is not within the proximity distance or first time is not within the proximity time period;

when the proximity relationship is positive, labeling the second person as being exposed to the first event;

when the proximity relationship is negative, labeling the second person as being not exposed to the first event; and

saving the label of the second person relative to whether being exposed or unexposed.

20. The method of claim 19, wherein the first event is a natural disaster, terrorist event, catastrophe, or other event.