Location-Based Weather Forecasting with Baseline Deviation Detection

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Solution Overview

Problem

Current weather services fail to effectively notify users of weather events that impact them, as users often struggle to identify relevant information from chronological weather data and may miss significant weather transitions due to unfamiliarity with weather metrics.

Innovation Solution

A computer system provides location-based weather services by comparing current and forecasted weather data to baseline values to identify weather events, offering actionable notifications with visual indicators of positive or negative impacts, enabling users to prepare for upcoming weather conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If chronological weather data is provided to users, then complete weather information is available, but users cannot easily identify relevant weather events that impact them

Engineering Contradiction:

Improveweather event informationVSAvoiduser ability to identify relevant information

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent extracts significant weather events from the complete chronological weather data by comparing current/forecasted values against baseline values. This extraction process isolates only the relevant weather events that deviate from normal patterns, removing unnecessary information and presenting only what impacts users, thereby solving the problem of users unable to identify relevant information amidst complete data

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies local quality by providing different levels of weather information detail to different user groups or contexts. Significant weather events are highlighted with special indicators and detailed information, while normal weather conditions are presented more concisely, allowing users to quickly identify what matters to them without being overwhelmed by complete chronological data

Inventive Principle:

Principle #3Local quality

2Loss of information

If detailed weather metrics are provided to users, then comprehensive weather data is available, but users may miss significant weather transitions due to unfamiliarity with the metrics

Engineering Contradiction:

Improveweather transition informationVSAvoiduser understanding of weather metrics

Core Design Contradiction:

Loss of informationVSDifficulty of detecting and measuring

Solution Approach 1:

The patent introduces an intermediary processing layer that translates complex weather metrics into user-friendly significant weather event notifications. The system acts as a mediator between raw weather data and users, automatically interpreting technical metrics like wind chill, heat index, and precipitation rates, and presenting them as actionable alerts with plain language descriptions that users can understand without meteorological expertise

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transforms weather data from raw metric values into changed parameters that represent significant deviations from baseline conditions. By focusing on parameter changes (e.g., temperature dropping below freezing threshold, wind speed exceeding safe limits) rather than absolute values, the system makes weather transitions detectable and meaningful to users regardless of their familiarity with standard weather metrics

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If weather data is provided at coarse granularity, then data processing is simpler, but precision of weather event identification is reduced

Engineering Contradiction:

Improvedata processing complexityVSAvoidweather event identification precision

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments weather data processing into distinct functional modules: data collection, baseline comparison, significant event identification, and notification generation. This segmentation allows the system to process weather data at fine granularity for accurate event identification while keeping each processing stage manageable and modular, resolving the contradiction between processing complexity and identification precision

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20240361495A1Location-based forecasting of weather events based on user impact

Publication Date: 2024.10.31 THE WEATHER CO LLC

AI summary

A computer system provides location-based weather services. Weather data is processed to determine one or more weather values for a location. The one or more weather values are compared to baseline weather data for the location to identify a weather event, wherein the weather event is identified in response to determining that the one or more weather values deviate from a corresponding one or more baseline values of the baseline weather data by a threshold amount. A request is received from a user device for weather information for the location. Information relating to the weather event is provided to the user device. Embodiments of the present invention further include a method and program product for providing location-based weather services in substantially the same manner described above.