Weather Map Generation via Threshold-Based Targeted Data Collection
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Solution Overview
Problem
Existing methods for generating weather maps require a large number of measurements, making the process time-consuming and expensive.
Innovation Solution
A system and method that utilize a mobile device with sensors to collect weather data at predetermined locations, generate a weather map with a probability distribution of weather conditions, and identify additional locations where the probability distribution is below a threshold, allowing for targeted data collection to increase confidence in the weather map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of measurements are taken at multiple locations to generate a weather map, then the accuracy and reliability of the weather map is improved, but the time required and cost increase significantly
Solution Approach 1:
Instead of taking measurements at all possible locations, the system performs partial measurements at strategically selected locations. The mobile device collects weather data at a first set of locations, generates an initial weather map, identifies second locations where additional measurements would improve confidence below a threshold, and only collects data at those specific locations. This partial action approach reduces the total number of measurements while maintaining sufficient accuracy.
Solution Approach 2:
The system implements a feedback loop where the generated weather map is used to determine where additional measurements are needed. After generating an initial weather map from first weather data, the system identifies locations with insufficient confidence (below threshold) and directs the mobile device to collect additional data only at those locations. This feedback mechanism ensures measurements are targeted where they provide maximum value.
2Reliability
If measurements are taken at all possible locations to ensure high accuracy, then the reliability of the weather map is improved, but the cost of data collection increases
Solution Approach 1:
The system performs partial measurements at strategically selected locations rather than comprehensive measurements at all possible locations. By using the weather model to predict where additional measurements would most improve confidence (identifying locations where probability distribution is below threshold), the system collects only the necessary minimum number of measurements to achieve the desired reliability level.
Solution Approach 2:
The system changes the parameter of measurement density from uniform comprehensive coverage to non-uniform targeted coverage. Instead of measuring at all locations with equal intensity, the system adjusts the measurement strategy based on the weather model's probability distribution, concentrating measurements only where the model indicates confidence is below the threshold, thus reducing the total quantity of measurements required.
Data Source
AI summary
The present disclosure relates to a system for generating a weather map. The system comprises a mobile device configured to move to first locations within an environment and obtain first weather data indicative of a weather condition at the first locations by using a sensor. Further, the system comprises a data processing circuitry configured to generate a weather map including a probability distribution of weather conditions between the first locations by applying a predetermined weather model to the first weather data. The data processing circuitry is further configured to determine second locations through a threshold comparison of the probability distribution. The mobile device is further configured to move to the second locations and obtain second weather data indicative of a weather condition at the second locations, by using the sensor, for increasing a confidence of the weather map using the second weather data.