公开(公告)号：US12127087B2

公开(公告)日：2024-10-22

申请号：US17246670

申请日：2021-05-02

Applicant: Yariv Glazer

Inventor： Yariv Glazer

IPC: H04W4/50 ,  G01J1/42 ,  G01K3/00 ,  G01W1/14 ,  G06Q10/083 ,  H04W4/029 ,  H04W4/20 ,  H04W4/80

CPC classification number: H04W4/50 ,  G01J1/4204 ,  G01K3/005 ,  G01W1/14 ,  G06Q10/083 ,  H04W4/029 ,  H04W4/20 ,  H04W4/80

Abstract: A system for directing physical service to a precise location includes a communication channel for transmitting and receiving data, a user-end electronic device for requesting a service, a service notification server for receiving service requests, a plurality of physical notification devices having at least two states, connected to the communication channel and capable of changing their state based on data received over the communication channel; wherein the user-end electronic device is capable of generating a service delivery request and transmits the service delivery request through communication channel; wherein another transmitting and receiving circuit receives the service delivery request, initiating a service notification processor to generates a change-in-state order for a plurality of physical notification devices and transmits the change-in-state order through the other transmitting and receiving circuit to the communication; and wherein the plurality of physical notification devices receives the change-in-state order and at least one of the plurality of physical notification devices changes its state in response to receiving the order.

公开(公告)号：US20240345289A1

公开(公告)日：2024-10-17

申请号：US18631075

申请日：2024-04-10

Applicant: CHINA UNIVERSITY OF GEOSCIENCES (WUHAN)

Inventor： Xihui GU ,  Yansong GUAN ,  Lunche WANG ,  Xiang ZHANG ,  Yanhui ZHENG ,  Jie GONG ,  Dongdong KONG

IPC: G01W1/10 ,  G01W1/14 ,  G06F18/2321 ,  G06N3/02

CPC classification number: G01W1/10 ,  G01W1/14 ,  G06F18/2321 ,  G06N3/02 ,  G01W2201/00

Abstract: An ocean-onto-land drought (OTLD) identification and propagation mechanism analysis method includes: identifying a new drought event in a global range with data of a historical data and data of a future test; extracting a 3D space-time cube (STC) of the drought event, quantifying spatiotemporal characteristics of the global OTLD, and searching a landfalling hotspot; projecting an OTLD in a future period in combination with different tests, and detecting an anthropogenic signal in an index change of the OTLD in the historical period and in the future period; and analyzing, with moisture transport during the OTLD as a reference, an occurrence mechanism of the OTLD in the historical period and an intensification mechanism of the OTLD in the future period; and clarifying a primary physical factor during the OTLD, and assessing a synthetic risk of a OTLD-affected region with a machine learning method.

公开(公告)号：US12105249B2

公开(公告)日：2024-10-01

申请号：US17882930

申请日：2022-08-08

Applicant: Vieux & Associates, Inc.

Inventor： Kelsey McDonough ,  Baxter E. Vieux ,  Ryan Hoes

IPC: G01W1/10 ,  G01W1/14 ,  G06T17/05 ,  H04W4/029 ,  H04W4/90

CPC classification number: G01W1/10 ,  G01W1/14 ,  G06T17/05 ,  H04W4/029 ,  H04W4/90

Abstract: Described herein are methods and systems for real-time swiftwater risk category distributed mapping. A mobile computing device generates a request for swiftwater risk information, the request including a location. A server computing device receives the request for swiftwater risk information from the mobile computing device. The server computing device models hydrologic conditions for a plurality of segments of one or more bodies of water at or near the location. The server computing device classifies each segment of the bodies of water according to a level of potential risk of hazards associated with the hydrologic conditions. The server computing device generates a visual representation of the bodies of water that includes a classification indicator for one or more of the plurality of segments for display on the mobile computing device, and transmits the visual representation to the mobile computing device.

公开(公告)号：US12078776B2

公开(公告)日：2024-09-03

申请号：US17442315

申请日：2019-03-26

Applicant: DUALBASE TECNOLOGIA ELETRÔNICA LTDA

Inventor： Felipe Jahn ,  Gustavo Ventura

IPC: G01W1/14 ,  G01D3/08

CPC classification number: G01W1/14 ,  G01D3/08

Abstract: A structural arrangement for a tipping bucket rain gauge and related micro controlled electronic system, the features of which include remote monitoring and identification of possible operating faults or defects in the rain gauge such as jamming of the tipping bucket or clogging of the funnel by reading data from the sensor and the pulse generator and also possible measurement errors caused by defects in the sensor or in the pulse generator or caused by inclination or vibration of the rain gauge. Such monitoring is provided by a capacitive sensor arranged such as to detect the accumulation of water in the funnel and also water flow, and by a pulse generator arranged to measure the number of movements of the tipping bucket and includes a control module that communicates with the capacitive sensor and with the pulse generator of the tipping bucket and with an accelerometer provided in the control module itself.

公开(公告)号：US12073356B2

公开(公告)日：2024-08-27

申请号：US17369445

申请日：2021-07-07

Applicant: Agtools Inc.

Inventor： Martha Montoya ,  Gustavo Montoya

IPC: G06Q10/087 ,  G01W1/10 ,  G01W1/14 ,  G06N3/08 ,  G06Q10/0832 ,  G06V20/10

CPC classification number: G06Q10/087 ,  G01W1/10 ,  G01W1/14 ,  G06N3/08 ,  G06Q10/0832 ,  G06V20/188

Abstract: A system gathers data from a plurality of sources across a wide geographic region, and produces from the gathered information output to a user, which output indicates to the user factors that may influence supply of product to, and/or operation of, a supply chain. Illustrative embodiments are able to determine that data in a previously received dataset has been changed by its corresponding data source, and subsequently update a corresponding data record maintained by the system. Illustrative embodiments train and employ one or more neural networks to identify anomalies in large datasets, and in some embodiments to predict the impact of various factors on crop production.

公开(公告)号：US11994648B2

公开(公告)日：2024-05-28

申请号：US17857969

申请日：2022-07-05

Applicant: CLIMATE LLC

Inventor： Nicholas Ganig ,  Adam Gaynor ,  Jongjin Kim ,  Chris Mikelson ,  David Nicozisin ,  Aaron Petersdorf ,  Samuel Rodriguez

IPC: G01W1/14 ,  G01W1/10

CPC classification number: G01W1/14 ,  G01W1/10

Abstract: Systems, methods, and devices are provided for monitoring precipitation. An example rain gauge device for use in such monitoring generally includes a first basin including at least one outlet for forming and releasing droplets of moisture, and at least two electrical contacts disposed proximate to the at least one outlet. A closed circuit is formed between the at least two electrical contacts when a droplet of moisture, released by the at least one outlet, contacts the at least two electrical contacts. The rain gauge device then also includes a processor communicatively coupled to the at least two electrical contacts. The processor is configured to determine presence of a moisture event based on the closed circuit formed by the droplet and the at least two electrical contacts and, in response to the determination, transmit an indication of the moisture event to a computing device.

公开(公告)号：US11971517B1

公开(公告)日：2024-04-30

申请号：US18405178

申请日：2024-01-05

Applicant: NATIONAL INSTITUTE OF METEOROLOGICAL SCIENCES

Inventor： Bo Yeong Ahn ,  Yoo Jun Kim

IPC: G01W1/14

CPC classification number: G01W1/14

Abstract: Described is a mobile apparatus for observing precipitation, the mobile apparatus including a bottom plate including a plurality of precipitation gauges and a movable member, a movement unit configured to move a position of the bottom plate from a first position to a second position by using the movable member, an observation time determination unit configured to determine a precipitation observation time on the basis of seasonal information, and a control unit configured to control the plurality of precipitation gauges on the basis of the precipitation observation time when precipitation is detected.

公开(公告)号：US20240135797A1

公开(公告)日：2024-04-25

申请号：US18485217

申请日：2023-10-11

Applicant: NEC Laboratories America, Inc.

Inventor： Yangmin DING ,  Sarper OZHARAR ,  Yue TIAN ,  Ting WANG

IPC: G08B21/10 ,  G01W1/14

CPC classification number: G08B21/10 ,  G01W1/14

Abstract: A data-driven street flood warning system that employs distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) and machine learning (ML) technologies and techniques to provide a prediction of street flood status along a telecommunications fiber optic cable route using the DFOS/DAS data and ML models. Operationally, a DFOS/DAS interrogator collects and transmits vibrational data resulting from rain events while an online web server provides a user interface for end-users. Two machine learning models are built respectively for rain intensity prediction and flood level prediction. The machine learning models serve as predictive models for rain intensity and flood levels based on data provided to them, which includes rain intensity, rain duration, and historical data on flood levels.

公开(公告)号：US20240094436A1

公开(公告)日：2024-03-21

申请号：US18467764

申请日：2023-09-15

Applicant: Henan University

Inventor： Haoming Xia ,  Yaochen Qin

IPC: G01W1/14 ,  G06N20/20

CPC classification number: G01W1/14 ,  G06N20/20

Abstract: A high-resolution SPEI dataset development method based on a random forest regression model is provided. In the method, meteorological station data, GPM remote sensing precipitation data, MODIS land surface temperature data, ERA5-Land shortwave radiation data and SRTM digital elevation model data are combined; and a spatial pattern of SPEI index at different time scales of a target area is predicted by constructing a spatiotemporal relationship between the SPEI index and the precipitation, land surface temperature, shortwave radiation and elevation data. The method fully utilizes advantages that the random forest is high in precision and avoids overfitting in model prediction, and inputs station data and remote sensing and reanalysis data simultaneously into the model for training, which can solve problems of mismatch of an existing SPEI dataset with the station data and low spatial resolution, and the spatial resolution of SPEI dataset is effectively improved.

公开(公告)号：US20240087042A1

公开(公告)日：2024-03-14

申请号：US18508963

申请日：2023-11-14

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Joshua M. Mast ,  Douglas L. Dewey ,  Todd Binion ,  Jeffrey Feid

IPC: G06Q40/08 ,  G01W1/14 ,  G06N7/01 ,  G06Q10/10

CPC classification number: G06Q40/08 ,  G01W1/14 ,  G06N7/01 ,  G06Q10/10

Abstract: Apparatuses, systems and methods are provided for performing insurance property loss mitigation processes based on an event driven probable roof loss confidence score based on a particular weather event, the event driven probable roof loss confidence score associated with a roof of a building. An example method may include receiving a base-line probable roof loss confidence score for the building. The method may further include receiving weather data associated with the particular weather event, that occurred in the geographic area of the building, and hail data associated with the particular weather event. The method also may include estimating at least one attribute of the one or more attributes, and generating the event driven probable roof loss confidence score based on the base-line probable roof loss confidence score, the weather data, the hail data, and the at least one estimated attribute.