Weather Prediction via Sector Interpolation
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Solution Overview
Problem
Current methods for obtaining weather information in agricultural management systems are costly due to the need for installing weather stations at every desired location, and lack an efficient way to approximate weather data for areas without stations.
Innovation Solution
A weather prediction model that interpolates data from nearby weather measurement systems, considering their geometrical configuration and measured values, to predict weather states at query locations without the need for extensive hardware installation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weather stations are installed at every desired location to obtain accurate weather data, then measurement precision is improved, but device complexity and cost increase substantially
Solution Approach 1:
The patent uses data from existing weather stations to create virtual representations of weather conditions at locations without physical stations. Instead of installing hardware everywhere, the system copies weather data patterns and interpolates them to predict conditions at query locations, achieving accurate weather information without pervasive hardware installation
Solution Approach 2:
The patent introduces an intermediary computational model that bridges the gap between weather stations and locations needing weather data. This model interpolates and predicts weather conditions at intermediate locations based on data from nearby stations, acting as a mediator that eliminates the need for direct physical measurement at every point
2Reliability
If weather stations are installed at every desired location to obtain weather data, then reliability of weather information is improved, but loss of energy and cost increase
Solution Approach 1:
The patent makes existing weather stations serve multiple locations simultaneously through data interpolation. A single weather station's data is used to predict conditions at multiple nearby locations, making the station universal in its utility and eliminating the need for dedicated stations at each location, thereby reducing operational costs while maintaining reliability
Solution Approach 2:
The system creates virtual weather data copies from physical measurements. Instead of having physical stations everywhere, the patent copies weather information patterns from existing stations and reconstructs predicted conditions at locations without stations, maintaining data reliability while reducing the number of physical (and costly) installations
3Device complexity
If traditional weather interpolation methods are used, then device complexity is reduced, but manufacturing precision and accuracy of weather prediction decrease
Solution Approach 1:
The patent improves weather prediction accuracy by changing the parameters used in interpolation - specifically incorporating geometrical configuration of weather stations and query locations, along with measured weather values, to create a more sophisticated prediction model that maintains simplicity while enhancing precision
Data Source
AI summary
A weather prediction model predicts a weather state for a query location within a region. The weather prediction model accesses current and/or historical indicator weather states from weather measurement systems located near the query location. The weather measurement systems that are located near a query location are those within a proximity distance of the query location. The weather prediction model partitions the region into sectors each containing a number of the weather measurement systems. The weather prediction model determines a representative weather state for each sector at a representative distance from the query location using the indicator weather states. The weather prediction model predicts a weather state at the query location by interpolating the representative weather states for the sectors. The weather prediction model transmits the predicted weather state to a user responsible for agricultural management of the query location.