Monitoring of vectors for epidemic control

• US 10,140,835 B2
• Filed: 04/05/2017
• Issued: 11/27/2018
• Est. Priority Date: 04/05/2017
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Padhye, Jaideep
• Primary Examiner(s): Wang, Jack K
• Application Number:
  US15/479,881
• Publication Number:
  US 20180293869A1
• Time in Patent Office: 601 Days
• Field of Search: 340540
• CPC Class Codes: B64C 39/024 of the remote controlled vehicle type, i.e. RPV
• CPC Class Codes: B64U 2101/00 UAVs specially adapted for particular uses or applications
• CPC Class Codes: B64U 2101/30 for imaging, photography or videography
• CPC Class Codes: G08B 21/10 responsive to calamitous events, e.g. tornados or earthquakes

Abstract

In one embodiment, a computing device receives vector data from a plurality of vector-identifying sensors distributed across an area associated with the computing device. The computing device may then determine an amount of vectors within the area based on the vector data, and compares the amount of vectors to a threshold associated with the area. In response to the amount being greater than the threshold, the computing device may then trigger a remediation alarm, accordingly.

Claims

1. A method, comprising:

receiving, at a computing device in a fog layer of a computer network between a cloud network and a local network, vector data relating to a vector in an area from a plurality of vector-identifying sensors distributed across the area associated with the computing device, wherein the vector is an agent that carries and transmits an infectious pathogen into another living organism;

determining, by the computing device, an amount of vectors within the area based on the vector data;

comparing, by the computing device, the amount of vectors to a threshold associated with the area; and

triggering, by the computing device, a remediation alarm that is sent to local devices connected to the computing device in the local network in response to the amount being greater than the threshold, wherein the remediation alarm warns users of the local devices to take containment measures.

2. The method as in claim 1, wherein the area is a localized area and the threshold is a localized threshold, and wherein triggering comprises:

sending the remediation alarm to one or more localized devices associated with the localized area.

3. The method as in claim 1, wherein the area is a region consisting of a plurality of localized areas and the threshold is a regional threshold, and wherein triggering comprises:

sending the remediation alarm to one or more devices associated with the region.

4. The method as in claim 1, further comprising:

assimilating vector data from a plurality of areas; and

tracking movement of vectors across a geographic region based on the assimilated vector data.

5. The method as in claim 1, further comprising:

determining effectiveness of remedial action based on vector data received after triggering the remediation alarm.

6. The method as in claim 1, further comprising:

building a predictive model of vector movement and occurrence based on the vector data over time.

7. The method as in claim 1, wherein vectors are selected from a group consisting of:

detrimental insects;

dangerous animal life;

air pollution;

water pollution;

noise pollution; and

radiation.

8. The method as in claim 1, wherein vector-identifying sensors are selected from a group consisting of:

optical sensors;

laser sensors;

audio sensors;

wingbeat sensors;

particulate sensors; and

radiation sensors.

9. The method as in claim 1, further comprising:

determining an estimated source of pollution vectors based on widespread vector data.

10. The method as in claim 1, further comprising:

distinguishing between particular types of vectors, wherein the threshold is associated with a particular type of vector.

11. The method as in claim 10, wherein vectors are insects, and wherein distinguishing between particular types of vectors comprises:

distinguishing between harmless species of insects and disease-carrying species of insects.

12. The method as in claim 1, wherein one or more of the vector-identifying sensors are carried on an unmanned aerial vehicle (UAV).

13. The method as in claim 12, further comprising:

instructing the UAV to take remedial action against vectors in the area in response to the remediation alarm.

14. An apparatus, comprising:

one or more network interfaces configured to communicate in a computer network;

a processor coupled to the network interfaces and adapted to execute one or more processes; and

a memory configured to store a process executable by the processor, the process when executed operable to;

receive vector data relating to a vector in an area from a plurality of vector-identifying sensors distributed across the area associated with the computing device, wherein the vector is an agent that carries and transmits an infectious pathogen into another living organism;

determine an amount of vectors within the area based on the vector data;

compare the amount of vectors to a threshold associated with the area; and

trigger a remediation alarm that is sent to local devices connected to the computing device in the local network in response to the amount being greater than the threshold, wherein the remediation alarm warns users of the local devices to take containment measures,

wherein the apparatus is a computing device in a fog layer of the computer network between a cloud network and a local network.

15. The apparatus as in claim 14, wherein the area is a localized area and the threshold is a localized threshold, and wherein the process when executed to trigger is further operable to:

send the remediation alarm to one or more localized devices associated with the localized area.

16. The apparatus as in claim 14, wherein the area is a region consisting of a plurality of localized areas and the threshold is a regional threshold, and wherein the process when executed to trigger is further operable to:

send the remediation alarm to one or more devices associated with the region.

17. The apparatus as in claim 14, wherein the process when executed is further operable to:

assimilate vector data from a plurality of areas; and

track movement of vectors across a geographic region based on the assimilated vector data.

18. The apparatus as in claim 14, wherein the process when executed is further operable to:

determine effectiveness of remedial action based on vector data received after triggering the remediation alarm.

19. The apparatus as in claim 14, wherein the process when executed is further operable to:

build a predictive model of vector movement and occurrence based on the vector data over time.

20. A tangible, non-transitory, computer-readable medium storing program instructions that cause a computer to execute a process comprising:

receiving vector data related to a vector in an area at a fog layer of the computer network between a cloud network and a local network from a plurality of vector-identifying sensors distributed across the area associated with the computing device, wherein the vector is an agent that carries and transmits an infectious pathogen into another living organism;

determining an amount of vectors within the area based on the vector data;

comparing the amount of vectors to a threshold associated with the area; and

triggering that is sent to local devices connected to the computing device in the local network in response to the amount being greater than the threshold, wherein the remediation alarm warns users of the local devices to take containment measures,

wherein the apparatus is a computing device in a fog layer of the computer network between a cloud network and a local network.