Precipitation Trend Descriptive Information Generation
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Solution Overview
Problem
Current weather forecasting technologies fail to provide intuitive and descriptive insights into precipitation trends, as they often lack sufficient detail in presenting weather data trends, making it difficult for users to interpret precipitation changes effectively.
Innovation Solution
A method and device for determining descriptive information of precipitation trends by acquiring precipitation data, identifying critical precipitation moments, and generating descriptive information based on timeliness and intensity, allowing for more intuitive interpretation of precipitation changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed precipitation data is provided, then measurement precision is improved, but ease of operation deteriorates due to difficulty in interpretation
Solution Approach 1:
The patent extracts critical precipitation moments from the complete precipitation dataset, identifying and isolating only the most significant time points that define precipitation trends. This extraction process filters out redundant data while preserving essential information, making the data both precise and interpretable.
Solution Approach 2:
The patent introduces descriptive information as an intermediary layer between raw precipitation data and user interpretation. This mediator translates complex numerical data into intuitive descriptions of precipitation trends, bridging the gap between measurement precision and ease of understanding.
2Measurement precision
If all precipitation moments are analyzed, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the critical precipitation moments that truly define the precipitation trend, rather than analyzing every data point. This selective extraction reduces computational complexity while maintaining measurement precision by focusing on the most informative moments.
Solution Approach 2:
The patent segments the continuous precipitation data into distinct critical moments, dividing the complex dataset into manageable, meaningful units. This segmentation simplifies the analysis process by breaking down the overall precipitation trend into discrete, analyzable events.
3Loss of information
If comprehensive precipitation description is provided, then loss of information is reduced, but ease of operation deteriorates due to information overload
Solution Approach 1:
The patent extracts and highlights only the critical precipitation moments that contain the most important trend information, removing redundant details that would contribute to information overload. This extraction maintains essential information while improving usability.
Solution Approach 2:
The patent applies partial action by providing a selective subset of precipitation information rather than complete comprehensive data. By presenting only the critical moments needed for trend understanding, it avoids excessive information while maintaining sufficient detail for accurate interpretation.
Data Source
AI summary
The disclosure relates to a method and device for determining descriptive information of a precipitation trend and a readable storage medium. The method includes acquiring precipitation data in a preset time period; acquiring precipitation intensities at a plurality of precipitation moments in the preset time period from the precipitation data, the plurality of precipitation moments being obtained by dividing the preset time period according to a preset strategy; selecting at least one critical precipitation moment from the plurality of precipitation moments based on the precipitation intensities at the plurality of precipitation moments, the at least one critical precipitation moment referring to a precipitation moment playing a critical role in the descriptive information of the precipitation trend in the preset time period; determining timeliness corresponding to the at least one critical precipitation moment; and determining the descriptive information of the precipitation trend in the preset time period based on the timeliness and a precipitation intensity corresponding to the at least one critical precipitation moment.