Weather Data Output Device for Faster Simulation Inputs
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Solution Overview
Problem
Existing data transfer capabilities for weather data in natural environment simulations are restricted, leading to long acquisition times and inefficient data processing, especially for large-scale, long-term datasets, which affects the accuracy and efficiency of simulations.
Innovation Solution
A data output device that includes a processor and storage unit for managing and processing weather data, allowing for the recording, determination, and output of analysis target data, enabling the use of cached data and dummy data to reduce dependency on external sources and accelerate data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If external data sources are used to acquire weather data, then data availability is achieved, but data acquisition time becomes extremely long (several hours for 20 years of data)
Solution Approach 1:
The system pre-acquires and stores weather data in advance before it is needed for simulation. The data output device maintains a database with pre-fetched weather data, allowing the analysis device to access data immediately without waiting for external acquisition. This preliminary data collection action eliminates the several-hour acquisition delay when simulations need to start.
2Measurement precision
If distribution data is processed to extract point of interest information, then data accuracy for target region is improved, but processing complexity and time increase
Solution Approach 1:
The system pre-processes distribution data from weather radars and simulations, extracting and storing only the relevant point-of-interest information in advance. The data output device maintains processed data in a ready state, so when analysis is needed, the data is already in the required format without requiring complex real-time processing. This reduces both processing complexity and time during actual analysis operations.
3Quantity of substance
If all distribution data is called and written as time-series data, then data completeness is achieved, but data transfer capability is restricted and usage efficiency decreases
Solution Approach 1:
The system extracts only the necessary weather data for each specific analysis request from the complete distribution data. Instead of transferring all 8760 time steps of data, the data output device selectively retrieves and stores only the relevant portions needed for the simulation, significantly reducing data transfer volume and improving usage efficiency while maintaining completeness for the required analysis period.
Data Source
AI summary
A data output device, which includes a processor which executes a program, and a storage device which stores the program, is communicably connected to a data source which stores first time-series data regarding a natural environment and an analysis device which inputs analysis target data from the data output device and executes analysis regarding the natural environment, and includes a recording unit which is capable of recording the analysis target data. The processor executes input processing of receiving an input of an analysis condition regarding the natural environment, first determination processing of determining whether first analysis target data corresponding to an analysis condition input by the input processing exists in the recording unit, and first output processing of outputting the first analysis target data to the analysis device on the basis of a first determination result by the first determination processing.