METHOD OF PREDICTING MICROCLIMATE CONDITIONS BASED ON GLOBAL WEATHER

Number: 20250271593
Published: 2025-08-28
Filed: 2024-02-28
Assignee: DISNEY ENTERPRISES, INC.
Inventors: Hale; Gregory Brooks et al.
CPC: G01W1/10; G06N3/08; G06N20/00
Verdict: Set aside weather prediction, ops planning
Source: Google Patents · FreePatentsOnline

Abstract

A method of training a microclimate machine learning model includes: receiving a regional weather data for a microclimate environment; detecting one or more microclimate conditions via one or more sensors positioned within the microclimate environment; determining one or more microclimate area characteristic of the microclimate environment at the time of the detected one or more microclimate conditions; generating the microclimate machine learning model based on the regional weather data, the one or more microclimate conditions, and the one or more microclimate area characteristic.

Background

BACKGROUND

Weather forecasting, while generally accurate, can be unreliable in very local (e.g., microclimate) conditions as such forecasting systems do not predict what the weather, specifically the heat stress conditions, wind elements, humidity, cold, and direct/partial sun exposure, etc. will be on a microclimate scale. Such microclimate conditions can be considerably more extreme than even the most accurate regional or city forecasts can predict. For example, a weather forecast for a city may estimate a high temperature will be 90° F. with 45% relative humidity, predict a heat exposure index of a particular value, and a 15% chance of rain, etc. However, such a broad area forecast does not account for the local microclimate of a construction worker in a downtown urban area surrounded by asphalt, parked cars with hot engines, traffic emitting hot exhaust, crowds of people walking on a nearby sidewalk, etc., all of which may increase the temperature and heat stress experienced by the worker. In addition, tall buildings may reflect light from the sun and block the prevailing wind, further exacerbating hot weather. Solutions are needed to accurately predict microclimate conditions. BRIEF SUMMARY

In one example, a method of predicting a microclimate condition includes: receiving, by a processing element, regional weather data; translating, by the processing element by utilizing a microclimate model, the regional weather data into the microclimate condition; and g

Claims

1. A method of predicting a microclimate condition comprising: receiving, by a processing element, regional weather data; translating, by the processing element by utilizing a microclimate model, the regional weather data into the microclimate condition; and generating, by the processing element, an alert based to the microclimate condition. || 15. A method of training a microclimate machine learning model comprising: receiving a regional weather data for a microclimate environment; detecting one or more microclimate conditions via one or more sensors positioned within the microclimate environment; determining one or more microclimate area characteristic of the microclimate environment at the time of the detected one or more microclimate conditions; generating the microclimate machine learning model based on the regional weather data, the one or more microclimate conditions, and the one or more microclimate area characteristic. || 19. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processing element, cause the processing element to: receive regional weather data; translate, by utilizing a microclimate model, the regional weather data into a microclimate condition; and generate, by the processing element, an alert based to the microclimate condition.