Weather-Market GUI Integration for Real-Time Exchange-Time Alignment
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Solution Overview
Problem
Conventional digital distribution platforms face challenges in managing and integrating disparate data types, particularly weather and market data, for real-time distribution, leading to transmission delays, data handling errors, and difficulty in aligning and integrating these data types in an intelligent manner without significant computational burden or system complexity.
Innovation Solution
A system and method for integrating weather and market data using an interactive graphical user interface (GUI) that collects, stores, and generates symbology instructions to create an integrated presentation package, updating concurrently with data changes, and leveraging time series server technology to align data in 'exchange time' for seamless integration and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional digital 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 and integrating disparate data types increases significantly
Solution Approach 1:
The patent employs an intermediary component (data integration layer or adapter) that sits between multiple disparate data sources and the distribution platform. This intermediary standardizes different data formats, protocols, and structures into a unified format, enabling the platform to handle diverse data content without directly managing the complexity of each individual data source. The intermediary translates and normalizes data from weather services, market data feeds, and other sources into a common structure that the platform can process efficiently.
2Reliability
If the platform updates the interactive user interface in real-time with rapidly changing data content, then the user receives up-to-date information, but transmission delays and data handling delays introduce significant errors and latency
Solution Approach 1:
The patent implements preliminary action by pre-processing and pre-formatting data as it arrives from various sources, preparing it in advance for rapid display. The system performs data validation, formatting, and structuring operations before the data needs to be presented to the user. This allows the interactive user interface to simply render pre-processed data with minimal latency, ensuring data freshness without the overhead of real-time processing during the display moment.
Solution Approach 2:
The system maintains continuous data flow and processing operations, with background threads continuously fetching, validating, and pre-processing data from multiple sources. The interactive interface continuously receives updated data streams without interruption. This continuous operation eliminates idle periods and reduces overall latency, ensuring that the most current data is always available for immediate presentation to the user.
3Manufacturing precision
If the platform performs extensive data handling operations including format conversion, normalization, and aggregation, then the distributed data content is optimized for presentation, but the computational burden and processing time increase
Solution Approach 1:
The patent divides the data processing workflow into distinct segments or modules: data collection, validation, formatting, normalization, aggregation, and presentation. Each segment handles a specific aspect of data processing independently. This segmentation allows the system to process different data types through appropriate specialized handlers without requiring complete re-processing of all data, improving both precision and efficiency.
Solution Approach 2:
The system dynamically adjusts processing parameters based on the type of data being handled and the current system load. For example, it may change the level of aggregation, the frequency of updates, or the depth of validation performed on different data streams. This parameter adjustment allows the platform to maintain high data presentation quality while adapting processing intensity to balance computational burden and output quality.
Data Source
AI summary
Data integration and distribution systems. A system includes a graphical user interface (GUI). Weather and market data are collected. A weather symbology including symbol elements linked to segments of the collected weather data and rules for generating weather symbology instructions are stored. The GUI is generated for display on a user device. A weather symbology instruction is determined based on at least one requested symbol element indicated in a weather data request and the rules. A weather forecast dataset is created from among the collected weather data based on the weather symbology instruction. A presentation package including the weather forecast dataset and the collected market data is generated such that the weather forecast dataset is integrated with the collected market data. The presentation package is presented on the GUI and updated concurrent with changes to at least one of the weather data, the market data and user input.