Crowdsourced Weather Forecasting via Distributed Terminal Data Aggregation
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Solution Overview
Problem
Conventional weather forecasting methods using large equipment like satellites and radars provide macroscopic weather data with low local accuracy, slow feedback rates, and high costs, while real-time data collection by professionals is labor-intensive and limited in coverage.
Innovation Solution
A system comprising terminals and a server that acquire and transmit environmental information, including geographic location and weather data, to provide localized and timely weather forecasting, utilizing a crowd sourcing approach to reduce costs and improve data coverage and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large equipment like satellites and radars are used for weather forecasting, then weather data can be acquired, but the data has large granularity and low local accuracy
Solution Approach 1:
The patent segments the weather data collection system into multiple distributed terminal devices across different geographic locations. Each terminal collects local environmental data independently, and the server aggregates these segmented data points to generate localized weather forecasts, thereby achieving high local accuracy without sacrificing coverage scope
Solution Approach 2:
The patent implements local quality by having different terminal devices at different geographic locations collect and transmit their specific local environmental data to the server. This allows the system to generate weather forecasting information tailored to specific local areas rather than providing uniform macroscopic data, thus improving local measurement precision while maintaining broad coverage
2Reliability
If large equipment like satellites and radars are used for weather forecasting, then weather data can be acquired, but the feedback rate is slow and timeliness is poor
Solution Approach 1:
The patent enables terminal devices to autonomously collect environmental data and automatically transmit it to the server without requiring professional data collectors. This self-service mechanism accelerates data feedback by eliminating manual collection processes and enabling real-time automated data acquisition and transmission, thereby improving weather forecasting timeliness
3Productivity
If professional data collectors are used for real time weather data collection, then weather data can be acquired, but significant manpower is required
Solution Approach 1:
The patent transforms the weather data collection process into a self-service system where distributed terminal devices automatically collect and transmit environmental data. This eliminates the need for professional data collectors and manual intervention, significantly improving collection efficiency while reducing manpower requirements
Solution Approach 2:
The patent replaces the mechanical system of manual data collection by professional collectors with an automated electronic system. Terminal devices equipped with sensors automatically measure environmental parameters and transmit data electronically to the server, substituting human labor with automated technological systems, thereby improving productivity and reducing complexity
4Measurement precision
If professional data collectors are used for real time weather data collection, then weather data can be acquired, but the coverage rate is low
Solution Approach 1:
The patent segments the data collection function across numerous distributed terminal devices located at different geographic positions. This segmentation enables the system to cover a broader geographic area simultaneously, as each terminal contributes local data from its specific location, thereby increasing overall coverage rate while maintaining effective data acquisition capability
Data Source
AI summary
Systems, terminals, servers and methods are provided for weather forecasting. For example, one or more first terminals acquire environmental information corresponding to the first terminals; wherein the environmental information includes geographic location information of the first terminals and weather data corresponding to the geographic location information; the first terminals transmit the environmental information to a server so that the server acquires weather forecasting information of an area corresponding to one or more geographic locations of the first terminals based on at least information associated with the weather data corresponding to the first terminals; wherein the geographic locations corresponding to the first terminals are within the area; and the first terminals acquire the weather forecasting information of the area transmitted by the server.