WO2024020375A3 - Software platform to conduct building onsite weather forecasting with crowdsourcing data - Google Patents

Software platform to conduct building onsite weather forecasting with crowdsourcing data Download PDF

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Publication number
WO2024020375A3
WO2024020375A3 PCT/US2023/070391 US2023070391W WO2024020375A3 WO 2024020375 A3 WO2024020375 A3 WO 2024020375A3 US 2023070391 W US2023070391 W US 2023070391W WO 2024020375 A3 WO2024020375 A3 WO 2024020375A3
Authority
WO
WIPO (PCT)
Prior art keywords
weather
building
software platform
onsite
spatial
Prior art date
Application number
PCT/US2023/070391
Other languages
French (fr)
Other versions
WO2024020375A2 (en
Inventor
Bing Dong
Wenbo WU
Original Assignee
Bing Dong
Wu Wenbo
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bing Dong, Wu Wenbo filed Critical Bing Dong
Publication of WO2024020375A2 publication Critical patent/WO2024020375A2/en
Publication of WO2024020375A3 publication Critical patent/WO2024020375A3/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/16—Arrangements for providing special services to substations
    • H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
    • H04L12/1859—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast adapted to provide push services, e.g. data channels
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/16—Arrangements for providing special services to substations
    • H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
    • H04L12/1845—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast broadcast or multicast in a specific location, e.g. geocast
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W2001/006—Main server receiving weather information from several sub-stations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
  • Environmental Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A software based platform for conducting building on-site weather forecasting for any arbitrary location. The software platform utilizes crowdsourced data from neighboring personal weather stations and public weather stations to provide an accurate weather forecast for a given building using a spatial-temporal modeling framework. Data is provided at a fine time resolution (e.g., at 5-minute frequency) and spatial resolution (e.g., arbitrary location vs grid). The spatial-temporal correlation of weather variables between the target building and a set of neighboring weather stations allow for improved forecasting performance.
PCT/US2023/070391 2022-07-20 2023-07-18 Software platform to conduct building onsite weather forecasting with crowdsourcing data WO2024020375A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202263390712P 2022-07-20 2022-07-20
US63/390,712 2022-07-20

Publications (2)

Publication Number Publication Date
WO2024020375A2 WO2024020375A2 (en) 2024-01-25
WO2024020375A3 true WO2024020375A3 (en) 2024-03-07

Family

ID=89618597

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2023/070391 WO2024020375A2 (en) 2022-07-20 2023-07-18 Software platform to conduct building onsite weather forecasting with crowdsourcing data

Country Status (1)

Country Link
WO (1) WO2024020375A2 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200213006A1 (en) * 2013-07-10 2020-07-02 Crowdcomfort, Inc. Systems and methods for collecting, managing, and leveraging crowdsourced data
US20200248920A1 (en) * 2019-01-31 2020-08-06 Sap Se Predictive air handling system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200213006A1 (en) * 2013-07-10 2020-07-02 Crowdcomfort, Inc. Systems and methods for collecting, managing, and leveraging crowdsourced data
US20200248920A1 (en) * 2019-01-31 2020-08-06 Sap Se Predictive air handling system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
NIFORATOS, E. ET AL.: "Understanding the Potential of Human-Machine Crowdsourcing for Weather Data.", INT. J. HUMAN-COMPUTER STUDIES., vol. 102, June 2017 (2017-06-01), pages 54 - 68, XP029956629, Retrieved from the Internet <URL:https://www.sciencedirect.com/science/article/abs/pii/S1071581916301343> DOI: 10.1016/j.ijhcs. 2016.10.00 2 *
UTEUOV, A. ET AL.: "The cities weather forecasting by crowdsourced atmospheric data", PROCEDIA COMPUTER SCIENCE, vol. 156, 2019, pages 347 - 356, XP085840530, Retrieved from the Internet <URL:https://www.sciencedirect.com/science/article/pii/S1877050919311305> DOI: 10.1016/j.procs. 2019.08.21 1 *
WIDJAJA REISA F., WU WENBO, ZHOU ZHI, SUN RENHAO, FONTENOT HANNAH C., DONG BING: "A general spatial-temporal framework for short-term building temperature forecasting at arbitrary locations with crowdsourcing weather data", BUILDING SIMULATION, TSINGHUA UNIVERSITY PRESS, HEIDELBERG, vol. 16, no. 6, 1 June 2023 (2023-06-01), Heidelberg , pages 963 - 982, XP093147540, ISSN: 1996-3599, DOI: 10.1007/s12273-022-0974-0 *
ZHU YIFAN, ZHANG SIFAN, LI YINAN, LU HAO, SHI KAIZE, NIU ZHENDONG: "Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace", GEOSCIENCE DATA JOURNAL, vol. 7, no. 1, 1 June 2020 (2020-06-01), pages 61 - 79, XP093147539, ISSN: 2049-6060, DOI: 10.1002/gdj3.85 *

Also Published As

Publication number Publication date
WO2024020375A2 (en) 2024-01-25

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