Gas Leak Data Visualization Using Smoothed Density Maps
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Solution Overview
Problem
Interpreting gas leak detection data on geographic maps is difficult due to the complexity of markers, making it challenging to locate actual gas leaks efficiently.
Innovation Solution
A visualization system applies smoothing algorithms, such as kernel density estimation, to estimated gas source locations, creating multi-dimensional density plots to simplify and enhance the interpretation of gas leak detection data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If markers are used to display gas detection locations on a geographic map, then the data can be visualized, but the interpretation becomes difficult and locating actual gas leaks becomes inefficient
Solution Approach 1:
The patent introduces an intermediary processing layer that transforms raw gas detection data into enhanced visual representations. The system applies algorithms to process marker data and generates improved visualizations that bridge the gap between raw data and human interpretation, making it easier to locate actual gas leaks without time loss.
Solution Approach 2:
The patent replaces the manual interpretation process with automated computational methods. Instead of relying on human analysts to manually interpret marker data, the system uses algorithms and processing to automatically generate enhanced visualizations, substituting mechanical human effort with automated computational analysis.
2Measurement precision
If detailed gas measurement data is collected at multiple locations, then measurement precision is improved, but the complexity of visualizing and interpreting the data increases
Solution Approach 1:
The patent extracts only the most relevant and meaningful information from the detailed gas measurement data. Instead of displaying all raw measurement points and their associated complexities, the system identifies and extracts key features such as probable leak locations, concentration trends, and significant patterns, presenting only this extracted information in the enhanced visualization.
Solution Approach 2:
The patent transforms the data from a two-dimensional map view into a multi-dimensional representation that incorporates additional information layers. By adding dimensions such as confidence levels, concentration gradients, and probabilistic assessments, the system maintains measurement precision while organizing the complexity into structured, interpretable visual dimensions.
Data Source
AI summary
A visualization system for visualizing gas leak detection data including a processor in communication with at least one memory device is provided herein. The processor is configured to receive, from one or more sensors, gas measurement data for a plurality of measurement locations within a survey area; receive, from the at least one memory device, a geographic representation of the survey area; determine, based upon the gas measurement data, estimated gas source locations of the plurality of measurement locations; and apply a smoothing algorithm to the estimated gas source locations to create a multi-dimensional density plot.