Hyper-localized Weather Data via Dense Sensor Mesonet
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Solution Overview
Problem
Current systems for monitoring weather and environmental conditions at outdoor events provide only general information, failing to capture granular details that can vary significantly across the event venue, which limits their effectiveness for optimizing strategies and enhancing spectator experiences.
Innovation Solution
A dense network of weather and environmental sensors, including those mounted on towers and drones, collects and interpolates data to provide hyper-localized information, correlating past event results with current and forecasted conditions to offer detailed insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single weather sensor is used to measure weather conditions, then the system is simple and easy to operate, but the measurement precision and granularity of weather data across the entire venue deteriorates
Solution Approach 1:
The patent divides the venue into multiple zones with individual sensors placed throughout, transforming a single-point measurement system into a distributed network. This segmentation allows each sensor to capture local weather conditions independently, improving overall measurement precision across the entire venue while managing complexity through modular deployment
Solution Approach 2:
The patent introduces spatial dimensionality by deploying sensors at multiple locations and elevations (ground level, towers, aerial vehicles) rather than relying on a single sensor. This multi-dimensional sensor distribution captures weather gradients and variations that a single sensor cannot detect, significantly improving measurement precision
2Loss of information
If a dense mesonet of sensors is deployed throughout the venue, then the measurement precision and granularity of weather data improves, but the device complexity and cost increases
Solution Approach 1:
The patent employs universal sensor modules that can be deployed in multiple configurations (ground-mounted, tower-mounted, aerial) and serve multiple functions including temperature, humidity, wind, and precipitation measurement. This multi-functionality reduces overall system complexity while maintaining comprehensive weather monitoring across the venue
Solution Approach 2:
The patent uses identical sensor module designs replicated across multiple locations, allowing for standardized manufacturing, simplified maintenance, and easier calibration. This copying approach reduces complexity by eliminating the need for custom sensor designs while ensuring consistent data quality throughout the dense mesonet
3Measurement precision
If weather data is collected from multiple sensors and interpolated, then the granularity and detail of weather information improves, but the data processing complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where sensor data is continuously collected, processed, and used to update weather models in real-time. This feedback loop allows the system to automatically adjust to changing conditions and improve prediction accuracy without requiring complex manual intervention, managing processing complexity through automated algorithms
Solution Approach 2:
The patent transforms raw sensor measurements into meaningful weather parameters through standardized processing algorithms that convert multiple sensor readings into interpolated weather conditions for each zone. This parameter transformation approach simplifies complex multi-sensor data into actionable weather information while maintaining high precision
4Ease of operation
If general weather conditions for the entire region are provided, then the system is simple to operate, but the usefulness for strategic decisions and spectator experience deteriorates
Solution Approach 1:
The patent segments the venue into multiple zones with distinct weather conditions, allowing the system to provide both overall venue summaries and location-specific details. This segmentation enables users to access general weather information for simple operations while also retrieving granular data for strategic decisions, resolving the contradiction between simplicity and information completeness
Data Source
AI summary
A system and method for outputting analysis regarding weather and/or environmental conditions at a venue for an event by determining correlations between the results of past events and historical weather and/or environmental conditions, determining current and/or forecasted weather and/or environmental conditions (for example, using a dense mesonet of sensors in and around an event/venue), and generating analysis based on the current and/or forecasted weather and/or environmental conditions and the correlations between the results of past events and the historical weather and/or environmental conditions.