Multi-Channel Environmental Data Images for Lower-Bandwidth Transmission
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Solution Overview
Problem
Current mapping platforms are limited in dimensionality and efficiency, often sending large amounts of data to users, which can be problematic due to network bandwidth constraints, and are unfriendly in terms of user accessibility, presenting complex data points rather than clear images of geographical and environmental conditions.
Innovation Solution
A method of generating and delivering environmental data by receiving requests for specific data characteristics, retrieving corresponding data sets, and generating images with multiple channels, where each channel corresponds to a specific data set, allowing for efficient representation and visualization of environmental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If large amounts of data are sent to users to provide comprehensive environmental information, then the completeness of environmental data is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts only the essential environmental parameters needed for effective visualization and sends them as structured data points rather than transmitting complete raw datasets. This selective extraction maintains information completeness for display purposes while significantly reducing network bandwidth consumption.
Solution Approach 2:
Instead of sending raw environmental data and rendering it on the client side, the patent inverts the approach by pre-processing environmental data into structured formats with embedded visualization instructions on the server side, then transmitting only the processed results to the client.
2Measurement precision
If complex data points are presented to users to provide detailed environmental information, then the precision of environmental data is improved, but user accessibility deteriorates
Solution Approach 1:
The patent uses color-coded visual representations to encode environmental parameter values and conditions. Different colors represent different ranges or states of environmental parameters, allowing users to quickly comprehend precise environmental data through intuitive visual cues rather than interpreting complex numerical datasets.
Solution Approach 2:
The patent transforms one-dimensional numerical environmental data into two-dimensional visual representations with spatial context. By mapping environmental parameters onto geographic visualizations with color gradients and symbolic representations, the system preserves measurement precision while enhancing user accessibility through intuitive spatial understanding.
3Loss of information
If traditional mapping platforms display environmental data, then information provision is improved, but dimensionality of data representation is limited
Solution Approach 1:
The patent creates a multi-functional data structure that can represent multiple environmental parameters (temperature, humidity, wind speed, pressure, etc.) simultaneously within a unified visualization framework. This universal approach allows diverse environmental data types to be displayed together in a single coherent view, enhancing information provision without requiring separate displays for each parameter.
Solution Approach 2:
The patent extends traditional two-dimensional map displays by incorporating additional visual dimensions such as color intensity, symbol size, and layered overlays to represent multiple environmental parameters. This multi-dimensional visualization approach allows comprehensive environmental information to be conveyed within the familiar map interface, increasing representational capacity without adding physical complexity.
Data Source
AI summary
In one example, a method of generating and delivering environmental data includes receiving a request for requested data corresponding to a first environmental characteristic and a second environmental characteristic. The method includes retrieving a first set of data corresponding to the first environmental characteristic. The method includes retrieving a second set of data corresponding to the second environmental characteristic. The method includes generating an image having a first channel and a second channel. The values of the first channel correspond to the first set of data. The values of the second channel correspond to the second set of data.