Systems and methods for weather data distribution

• US 10,437,814 B2
• Filed: 07/08/2016
• Issued: 10/08/2019
• Est. Priority Date: 07/10/2015
• Status: Active Grant

• Current Assignee: Whether Or Knot LLC
• Original Assignee: Whether Or Knot LLC
• Inventors: Hubbard, David James, Mataczynski, Craig Allen
• Primary Examiner(s): Ly, Anh
• Application Number:
  US15/205,646
• Publication Number:
  US 20170011053A1
• Time in Patent Office: 1,187 Days
• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: H04L 63/102 Entity profiles
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/06 specially adapted for file transfer, e.g. file transfer protocol [FTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70
• CPC Class Codes: H04L 69/22 Parsing or analysis of headers
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks
• CPC Class Codes: Y02P 90/845 Inventory and reporting systems for greenhouse gases [GHG]

Abstract

In one example, a computer-implemented method of generating a weather product is disclosed that comprises receiving a product generation input, the product generation input being indicative of a weather product. The method further comprises retrieving a weather data point, based on the product generation input. Further, the method comprises analyzing the weather data point with a weather analysis component to identify weather parameters relevant to the weather product. In addition, the method comprises generating the weather product to include the identified relevant weather parameters.

Claims

1. A computer-implemented method comprising:

receiving, from a requesting computing system, a request for weather information corresponding to a geographic location of interest;

selecting a set of client devices registered to provide weather sensor data obtained from a set of weather sensors in the geographic location, wherein the set of client devices is selected based on a location of the client devices relative to the geographic location of interest;

sending a communication over a communication network to each device of the set of devices, the communication requesting the weather sensor data;

receiving the requested weather sensor data from one or more of the client devices in response to the communication;

generating the weather information based on the received weather sensor data;

determining an incentive metric based on distribution of the generated weather information to the requesting computing system; and

generating a data record that assigns the incentive metric to the one or more client devices.

2. The computer-implemented method of claim 1, and further comprising:

determining a characteristic of the one or more client devices in the set; and

generating the weather information based on the characteristic.

3. The computer-implemented method of claim 1, and further comprising:

analyzing the received weather sensor data relative to previous weather data received by the one or more client devices;

generating a relevancy metric based on the analysis; and

generating the weather information based on the relevancy metric.

4. The computer-implemented method of claim 1, and further comprising:

comparing weather sensor data from a first client device to weather sensor data from a second client device based on client identifiers;

generating an accuracy metric based on the comparison; and

generating the weather information based on the accuracy metric.

5. The computer-implemented method of claim 1, wherein the incentive metric is based on a time interval between the received request and the generated weather information.

6. The computer-implemented method of claim 1, wherein the incentive metric is based on a comparison of the generated weather information to the received weather sensor data.

7. The computer-implemented method of claim 1, wherein the incentive metric is based on a frequency of received requests for weather information corresponding to the geographic location.

8. The computer-implemented method of claim 1, wherein the incentive metric is based on a frequency of the generation of weather information based on the received weather sensor data.

9. The computer-implemented method of claim 1, wherein the geographic location comprises an area of interest identified in the request.

10. The computer-implemented method of claim 1, wherein the incentive metric is based on a comparison of the weather sensor data and the received request.

11. A computing system comprising:

a processor; and

memory storing instructions executable by the processor, wherein the instructions configure the computing system to;

receive, from a requesting computing system, a request for weather information corresponding to a geographical area of interest;

based on the received request, select a set of client devices registered to provide weather sensor data obtained from a set of weather sensors in the geographical area of interest;

send a communication over a communication network to each device of the set of devices, the communication requesting the weather sensor data;

receive the requested weather sensor data from one or more of the client devices;

generate the weather information based on the received weather sensor data;

determine a distribution metric for the generated weather information based on distribution of the generated weather information to the requesting computing system; and

generate a data record that assigns the distribution to the one or more client devices.

12. The computing system of claim 11, wherein the distribution metric is based on a time interval between the received request and the generated weather information.

13. The computing system of claim 11, wherein the distribution metric is based on a comparison of the generated weather information to the received weather sensor data.

14. The computing system of claim 11, wherein the distribution metric is based on frequency of received requests.

15. The computing system of claim 11, wherein the distribution metric is based on a frequency of the generation of the weather information.

16. The computing system of claim 11, wherein the distribution metric is based on a comparison of weather sensor data from a first client device to weather sensor data from a second client device.

17. A computing system, comprising:

a processor; and

memory storing instructions executable by the processor, wherein the instructions configure the computing system to;

receive a request from a weather data consuming system;

based on the request, identify a geographic area of interest;

based on the geographic area of interest, select a set of client devices registered to provide weather sensor data obtained from a set of weather sensors in the geographic area and send a communication requesting weather sensor data to one or more of the client devices;

receive a weather data contribution from one or more of the client devices, wherein the weather data contribution is indicative of a weather condition in the geographic area;

generate weather information corresponding to the geographic area based on the weather data contribution and store the weather information;

distribute the weather information to the weather consuming system;

determine a distribution value associated with the weather data contribution; and

generate a data record that assigns the distribution value to the one or more client devices.

18. The computing system of claim 17, wherein the distribution value is based on a time interval between the received weather data contribution and the request for weather information.

19. The computing system of claim 17, wherein the distribution value is based on a frequency of distribution of the weather information.

20. The computing system of claim 17, wherein the distribution value is based on a comparison of the weather information to the weather data contribution.