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1.发明申请公开(公告)号：US20250060512A1
公开(公告)日：2025-02-20
申请号：US18807318
申请日：2024-08-16
Applicant: McMaster University
Inventor： Wael EL-DAKHAKHNI , Maysara GHAITH , Ahmed YOSRI
IPC: G01W1/10 , G01W1/14 , G06N3/0442 , G06N3/084
Abstract: In some cases, flood risk quantification computing systems and methods are computationally intensive and in some cases are inaccurate. A flood risk computing system and method are provided that quantifies a flood vulnerability within a specified area of interest, irrespective of flood event characteristics; estimates and maps a flood hazard probability; integrates the flood vulnerability and the flood hazard probability to quantify a flood risk; and develops a rapid flood risk software tool, stored in the memory, to directly quantify flood risk characteristics using deep learning. The rapid flood risk took using a plurality of hierarchical deep neural networks.
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公开(公告)号：US12216241B2
公开(公告)日：2025-02-04
申请号：US17938691
申请日：2022-10-07
Applicant: WEATHER STRIKE, LLC
Inventor： Robert L. Wright
Abstract: A data processing system is for producing a weather report. The data processing system may include external weather event databases, each external weather event database having a different weather event data set, and a server in communication with the external weather event databases. The server may be configured to import the different weather event data sets from the external weather event databases, perform a filtering process on the different weather event data sets from the external weather event databases, and generate the weather report based upon the filtered different weather event data sets from the external weather event databases and a geolocation.
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公开(公告)号：US12189083B2
公开(公告)日：2025-01-07
申请号：US17938147
申请日：2022-10-05
Applicant: GOOGLE LLC
Inventor： William B. Gail
Abstract: A system for using mobile data to improve weather information is provided. The system includes a weather prediction station configured to receive stationary observation data provided by a plurality of stationary weather stations along with data from a plurality of input weather models and generate unified weather model estimates based on the stationary observation data, the input weather model data, and a processor. The processor is configured to aggregate mobile observation data provided by a plurality of non-stationary sensors and use the aggregated mobile observation data to adjust the weather model estimates.
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公开(公告)号：US12182887B2
公开(公告)日：2024-12-31
申请号：US17442250
申请日：2020-03-25
Applicant: Texas Tech University System
Inventor： Brian Ancell , Carol Lindquist , Nadia Flores , Beibei Ren , Ken Rainwater
Abstract: A utility management system and method including a water collection apparatus; a water storage apparatus in fluid communication with the water collection apparatus; a water storage quantity sensor; one or more water usage sensors; an energy generation apparatus; an energy storage apparatus coupled to the energy generation apparatus; an energy storage quantity sensor; one or more energy usage sensors; a processor with one or more channels to receive at least weather forecast data, water usage data, and energy usage data, and one or more channels to send at least a request for weather forecast data, wherein the processor is coupled to the one or more water usage sensors and energy usage sensors, and wherein the processor is programmed to use the received data to project water collection, water storage, energy generation, and energy storage and to formulate recommendations for water and energy usage; a control interface; and a data display.
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公开(公告)号：US20240426630A1
公开(公告)日：2024-12-26
申请号：US18824332
申请日：2024-09-04
Applicant: Continental Automotive GmbH
Inventor： Jonathan Bonnet , Nicolas Renard , Christophe Adonis
Abstract: A method for predicting a weather condition at a particular location in a road network extending over at least one weather area divided into a plurality of weather cells, the method including steps of obtaining, from a weather forecast provider, a first data item relating to a general weather forecast for the weather area, and receiving, from a first vehicle travelling in a first weather cell, a second data item relating to an alteration of a weather condition detected by at least one sensor of the vehicle. The prediction method is remarkable in that it further includes steps of predicting a probability of a weather condition for at least one target weather cell by applying a prediction model associated with the target cell to at least the first data item and the second data item, and of transmitting the predicted weather condition to at least one second vehicle.
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Patent Agency Ranking
公开(公告)号：US12174338B2
公开(公告)日：2024-12-24
申请号：US18502310
申请日：2023-11-06
Applicant: The Tomorrow Companies Inc.
Inventor： Shimon Elkabetz , Jacob Ribnik , Itai Zlotnik , Rei Goffer , Nir Nossenson , Daniel Alexander Rothenberg , Karl Ginter
Abstract: Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.
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公开(公告)号：US20240420059A1
公开(公告)日：2024-12-19
申请号：US18334252
申请日：2023-06-13
Applicant: Pavewise, Inc.
Inventor： Bryce Wuori
IPC: G06Q10/0637 , G01W1/10 , G06Q50/08
Abstract: A computer implemented method, implemented on a computing device for modifying one or more productivity variables associated with a road construction project in response to forecasted weather events includes receiving, a particular geographic location subject of a road construction project; receiving weather forecast data for the particular geographic location; parsing the received weather forecast data to determine a predicted weather condition change; determining the impact of the predicted weather condition change on one or more productivity variables associated with the road construction project; modifying the one or more productivity variables associated with the road construction project to address the impact of the received weather forecast data; generating one or more notifications specifying the one or more modified productivity variables associated with the road construction project and communicating the one or more notifications.
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公开(公告)号：US20240402387A1
公开(公告)日：2024-12-05
申请号：US18535462
申请日：2023-12-11
Applicant: I.M. Systems Group, Inc.
Inventor： Le JIANG
Abstract: The systems, methods, and apparatuses described herein provide integrated weather forecast products designed to assist operations managers with operational decision-making related to a designated event or set of events. The present disclosure provides a way to process weather data from various sources and in diverse data formats containing varying spatial resolutions and temporal resolutions, in order to generate an integrated and cohesive weather projection product such that the weather projection product is continuous in both. spatial and temporal domains, subject to data availability, relative to a designated event or set of events.
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公开(公告)号：US20240393499A1
公开(公告)日：2024-11-28
申请号：US18668265
申请日：2024-05-20
Inventor： Yanjun Wang , Jinlong Huang , Tong Jiang , Jianqing Zhai , Buda Su , Haifeng Yang
IPC: G01W1/10
Abstract: A multi-dimensional feature identification method of a disaster-causing cyclone includes: determining a disaster-causing range based on a path of the disaster-causing cyclone, dividing the disaster-causing range into multiple grid points, obtaining meteorological data including wind speeds and rainfall amounts of the grid points within the disaster-causing range; determining, based on historical typhoon data, disaster-causing thresholds including a wind speed disaster-causing threshold and a rainfall disaster-causing threshold for the meteorological data; constructing a multi-dimensional feature database for disaster-causing events; and performing multi-dimensional feature identification on the disaster-causing cyclone based on the multi-dimensional feature database for disaster-causing events. The method can identify features of the disaster-causing cyclone at each moment and in multiple dimensions, which provides technical support for further accurate evaluation of socio-economic exposure and vulnerability of the disaster-causing cyclone.
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公开(公告)号：US20240393264A1
公开(公告)日：2024-11-28
申请号：US18657969
申请日：2024-05-08
Applicant: NEC Corporation
Inventor： Michihiko YUSA
Abstract: A water vapor observation apparatus includes: a determining unit that determines whether or not to use a GNSS (Global Navigation Satellite System) signal received by a receiving apparatus mounted on a mobile object and receiving the GNSS signal for estimation of precipitable water in accordance with a positional relation between the receiving apparatus and a GNSS satellite transmitting the GNSS signal at time of reception of the GNSS signal by the receiving apparatus; and an estimating unit that estimates precipitable water representing a water vapor content in atmosphere based on the GNSS signal received by the receiving apparatus or discards the estimated precipitable water in accordance with a result of the determining.
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