Gas Leak Inspection Robot With OGI Camera Cooling and Targeted Capture
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Solution Overview
Problem
Existing robots are not well-suited for detecting gas leaks at facilities, as they often lack appropriate sensors, generate excessive heat impairing sensor operation, and capture excessive video data without distinguishing relevant features.
Innovation Solution
A robot system equipped with a sensor system that obtains inspection path information, adjusts camera orientations, and uses an optical gas imaging camera with a refrigeration system to detect gas leaks, while a convolutional neural network classifies images to identify leaks and stores relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a robot is equipped with an optical gas imaging camera and refrigeration system to detect gas leaks, then detection capability is improved, but device complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: navigation module for path following, sensor system with OGI camera for gas detection, refrigeration system for camera cooling, and processing system for data analysis. Each module operates independently but coordinates through centralized control, reducing overall system complexity while maintaining detection reliability
Solution Approach 2:
The robot integrates multiple functions into a single platform: autonomous navigation, gas leak detection, thermal management, and data processing. This multi-functional design consolidates what would otherwise require separate systems, improving detection capability without proportionally increasing complexity
2Reliability
If the robot captures video data at all locations along the inspection path, then detection coverage is improved, but data processing time increases
Solution Approach 1:
The robot determines location and orientation information before capturing video data. By pre-processing spatial information and predicting relevant inspection points, the system captures data only where gas leaks are likely to occur, maintaining comprehensive detection coverage while significantly reducing unnecessary data capture and processing time
Solution Approach 2:
The system replaces exhaustive mechanical video capture with intelligent selective capture based on processed location and orientation data. Machine learning algorithms analyze spatial information to identify critical inspection points, substituting brute-force data collection with targeted detection, thereby reducing processing time while maintaining detection reliability
3Measurement precision
If the robot adjusts camera orientation at each location based on orientation information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The robot uses location sensors and orientation information as feedback to automatically adjust camera orientation at each inspection location. This closed-loop control system continuously monitors position and adjusts camera angles accordingly, improving measurement precision through automated feedback-based orientation adjustment without requiring complex manual control systems
Solution Approach 2:
The robot autonomously determines its own location and adjusts camera orientation based on pre-stored orientation information for each location. The system serves itself by automatically processing spatial data and executing orientation adjustments without external intervention, improving detection accuracy while keeping the control system manageable through self-contained automation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively detects gas leaks by optimizing sensor operation, reducing unnecessary data capture, and using machine learning for accurate classification, enhancing the efficiency and accuracy of gas leak inspection.
Implementation Method 1
a refrigeration system to cool the optical gas imaging camera
Data Source
AI summary
Robots and sensor systems may be used to inspect facilities or other infrastructure and detect gas leaks. A process may include obtaining path information indicating a path for the robot to travel, and locations along the path to inspect with the sensor system. The robot may move along the path and may determine, based on information received via a location sensor, that the robot is at a first location of the locations indicated by the path information. In response to determining that the robot is at the first location, the robot may adjust the sensor system based on first orientation information associated with the first location. An image or video may be recorded via the sensor system.