Weather forecasting system and methods
First Claim
1. A method of using multiple sensors at different locations to predict weather comprising:
- providing sensors at locations different from one another, each sensor being configured to provide images including current weather related information at the location where the sensor is located;
receiving, by at least one computing device, the images from the sensors in an initial search that include weather related information;
identifying, by the at least one computing device, the location of each of the sensors based upon information provided by the sensors;
searching for additional sensors at locations different from the sensors that provided the images in the initial search;
receiving additional images from the additional sensors and identifying the locations of the additional sensors based upon information provided by the additional sensors;
performing a time series analysis to forecast weather conditions comprising;
analyzing, by the at least one computing device, the images from the sensors and the additional sensors to determine particular types of weather phenomena;
analyzing, by the at least one computing device, the images from the sensors and the additional sensors to determine a motion of the particular types of weather phenomena; and
determining, by the at least one computing device, a first weather forecast based on the analyzed images and the motion of the particular types of weather phenomena;
performing a weather map analysis to forecast weather conditions comprising;
accessing a database of weather maps showing weather conditions at different points of time;
analyzing the weather maps to determine constant weather features at two or more different sensor locations, wherein each sensor location includes at least one of the sensors and the additional sensors, at the different points of time and evolving weather features at the two or more different locations of the sensors and the additional sensors at the different points of time; and
aggregating the constant weather features and the evolving weather features to create a second weather forecast based on the weather map analysis; and
integrating the first weather forecast and the second weather forecast into a consolidated weather forecast,wherein the additional sensors are sensors which were present within an area covered by the initial search, which were off-line during the initial search.
2 Assignments
0 Petitions
Accused Products
Abstract
An approach for forecasting local weather patterns. The approach includes a method that includes receiving, by at least one computing device, images that include weather related information. The method includes analyzing, by the at least one computing device, the images to determine particular types of weather phenomena. The method includes analyzing, by the at least one computing device, the images to determine a motion of the particular types of weather phenomena. The method includes determining, by the at least one computing device, a weather forecast based on the analyzed images and the motion of the particular types of weather phenomena.
14 Citations
13 Claims
-
1. A method of using multiple sensors at different locations to predict weather comprising:
-
providing sensors at locations different from one another, each sensor being configured to provide images including current weather related information at the location where the sensor is located; receiving, by at least one computing device, the images from the sensors in an initial search that include weather related information; identifying, by the at least one computing device, the location of each of the sensors based upon information provided by the sensors; searching for additional sensors at locations different from the sensors that provided the images in the initial search; receiving additional images from the additional sensors and identifying the locations of the additional sensors based upon information provided by the additional sensors; performing a time series analysis to forecast weather conditions comprising; analyzing, by the at least one computing device, the images from the sensors and the additional sensors to determine particular types of weather phenomena; analyzing, by the at least one computing device, the images from the sensors and the additional sensors to determine a motion of the particular types of weather phenomena; and determining, by the at least one computing device, a first weather forecast based on the analyzed images and the motion of the particular types of weather phenomena; performing a weather map analysis to forecast weather conditions comprising; accessing a database of weather maps showing weather conditions at different points of time; analyzing the weather maps to determine constant weather features at two or more different sensor locations, wherein each sensor location includes at least one of the sensors and the additional sensors, at the different points of time and evolving weather features at the two or more different locations of the sensors and the additional sensors at the different points of time; and aggregating the constant weather features and the evolving weather features to create a second weather forecast based on the weather map analysis; and integrating the first weather forecast and the second weather forecast into a consolidated weather forecast, wherein the additional sensors are sensors which were present within an area covered by the initial search, which were off-line during the initial search. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. A method of using multiple sensors at different locations to predict weather comprising:
-
providing sensors at locations different from one another, each sensor being configured to provide images including current weather related information at the location where the sensor is located; receiving, by at least one computing device, the images from the sensors in an initial search that include weather related information; identifying, by the at least one computing device, the location of each of the sensors based upon information provided by the sensors; searching for additional sensors at locations different from the sensors that provided the images in the initial search; receiving additional images from the additional sensors and identifying the locations of the additional sensors based upon information provided by the additional sensors; performing a time series analysis to forecast weather conditions comprising; analyzing, by the at least one computing device, the images from the sensors and the additional sensors to determine particular types of weather phenomena; analyzing, by the at least one computing device, the images from the sensors and the additional sensors to determine a motion of the particular types of weather phenomena; and determining, by the at least one computing device, a first weather forecast based on the analyzed images and the motion of the particular types of weather phenomena; performing a weather map analysis to forecast weather conditions comprising; accessing a database of weather maps showing weather conditions at different points of time; analyzing the weather maps to determine constant weather features at two or more different sensor locations, wherein each sensor location includes at least one of the sensors and the additional sensors, at the different points of time and evolving weather features at the two or more different locations of the sensors and the additional sensors at the different points of time; and aggregating the constant weather features and the evolving weather features to create a second weather forecast based on the weather map analysis; and integrating the first weather forecast and the second weather forecast into a consolidated weather forecast, wherein the additional sensors are sensors which were placed at locations within an area covered by the initial search after the initial search and prior to the analysis of the weather maps.
-
Specification