Weather Index Conversion for Real-Time Risk Offsetting
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Solution Overview
Problem
Conventional data distribution platforms face challenges in managing and integrating disparate data types, such as weather and market data, in real-time, due to differences in data formats, communication requirements, and rapid data changes, leading to transmission delays and errors, and the inability to provide up-to-date information effectively.
Innovation Solution
A system that converts live weather data into a weather index for offsetting weather risk, using a data distribution system to generate weather data streams, identify relevant data, and create a weather index presentation package, which is updated concurrently with changes in weather risk indication data, allowing for integration with market data in a fully-automated manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional data distribution platforms distribute digital data content from multiple data sources with different data types, formats, and communication requirements, then the platform can provide diverse data content to end-users, but the complexity of managing data distribution and integration increases significantly
Solution Approach 1:
The patent introduces a data integration layer that acts as an intermediary between multiple data sources and the distribution platform. This layer standardizes disparate data types and formats into a unified structure, managing communication requirements and reducing the complexity burden on the distribution platform while maintaining the ability to distribute diverse data content
2Speed
If the distribution platform updates interactive user interfaces with up-to-date data content in real-time, then users receive current information, but transmission delays and data handling delays introduce significant errors
Solution Approach 1:
The patent implements preliminary data processing and validation before distribution. Data is pre-formatted, pre-validated, and staged in a buffer zone before being sent to user interfaces. This preliminary action reduces both transmission delays and handling delays by having data ready in advance, thereby maintaining real-time updates while improving data accuracy and reducing errors
3Loss of information
If the platform integrates disparate data types in an intelligent manner to provide meaningful information, then the value of distributed information increases, but the computational burden and system complexity increase
Solution Approach 1:
The patent transforms disparate data types by changing their parameters into a standardized format with common structures, schemas, and metadata. This parameter transformation enables intelligent integration and meaningful information derivation without requiring complex custom processing for each data type, thereby reducing system complexity while maintaining high information value
4Quantity of substance
If the platform handles large volumes of rapidly changing data content, then the comprehensiveness of distributed information improves, but transmission delays and processing delays increase
Solution Approach 1:
The patent segments large volumes of rapidly changing data into smaller, manageable units or streams that can be processed independently and in parallel. This segmentation allows the platform to handle comprehensive data volumes while reducing processing delays through distributed processing, as each segment can be handled concurrently rather than sequentially
Data Source
AI summary
Systems and methods for converting live weather data to a weather index for offsetting weather risk. Weather data source systems generate one or more weather data streams that include weather forecast model and observations data. A data distribution system receives a weather index request, identifies at least one instrument and at least one location associated with the request. Weather risk indication data is extracted among the weather data streams associated with the identified location based on predefined parameters associated with the identified instrument. The extracted data is converted into a set of weather index values corresponding to the location, based on a predetermined algorithm associated with the identified instrument. A weather index presentation package is generated that includes the set of weather index values for distribution to at least one user device. The weather index presentation package being distributed is updated concurrent with changes to weather risk indication data.