Environmental Control System Diagnosis Using Real-Time Imaging
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Solution Overview
Problem
Conventional environmental control systems in aerospace and other industries face challenges in diagnosing operational malfunctions, such as blocked heat exchangers, inoperable valves, and fan degradation, which are often difficult to detect and lead to delays and downtime.
Innovation Solution
A diagnosis and prognosis system using imaging units, such as cameras, to capture real-time images of environmental control system components, analyze them with pattern recognition algorithms, and provide visual maintenance data for scheduling preventative maintenance, allowing for component-level diagnosis without intrusive modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional threshold sensors are installed to detect operational malfunctions, then system safety is improved, but diagnostic capability remains insufficient leading to general malfunction descriptions
Solution Approach 1:
The patent replaces conventional mechanical threshold sensors with an optical imaging system using cameras and image processing algorithms. The imaging device captures visual data of environmental control system components, and pattern recognition software analyzes these images to detect malfunctions such as blocked heat exchangers, inoperable valves, and fan degradation, providing specific diagnostic information rather than general threshold alerts.
Solution Approach 2:
The patent introduces an intermediary image processing system that acts as a mediator between the physical environment and the diagnostic system. The imaging device captures intermediate visual representations of system components, which are then processed through pattern recognition algorithms to extract diagnostic information, enabling detailed malfunction detection without direct sensor contact with components.
2Device complexity
If manual inspection methods are used to diagnose malfunctions, then system complexity is kept low, but maintenance time and downtime increase
Solution Approach 1:
The patent implements a self-service diagnostic system where the environmental control system automatically monitors itself through integrated imaging devices. The system continuously captures images of its own components and uses pattern recognition software to automatically detect malfunctions, eliminating the need for manual inspection by maintenance personnel and significantly reducing maintenance time and downtime.
Solution Approach 2:
The patent enables continuous monitoring of environmental control system components through constantly operating imaging devices. The system maintains uninterrupted visual surveillance of heat exchangers, valves, fans, and other components, allowing real-time detection of developing malfunctions before they cause system failure, thereby reducing preventive maintenance intervals and downtime.
3Measurement precision
If detailed component-level monitoring is implemented, then diagnostic precision is improved, but system complexity and cost increase
Solution Approach 1:
The patent employs a universal imaging-based diagnostic platform that can monitor multiple different environmental control system components using the same basic technology. A single camera system with pattern recognition software can detect malfunctions in heat exchangers, valves, fans, and other components, providing detailed component-level diagnostics without requiring separate specialized sensors for each component type.
Solution Approach 2:
The patent creates visual copies (images) of the physical environmental control system components and analyzes these digital representations for malfunctions. The imaging device captures optical copies of heat exchangers, valves, and fans, which are then processed by software to detect blockages, operational failures, and degradation, providing precise diagnostics through analysis of visual information rather than direct physical measurement.
Data Source
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AI summary
A method to provide prognosis and diagnosis of environmental control system maintenance. The method including imaging, with at least one imaging unit, in real time at least one portion of an environmental control system in operation, wherein real time images register a dynamic feature of a dynamic predetermined characteristic of the at least one portion of the environmental control system, comparing, with a controller, the real time images of the at least one portion of the environmental control system with stored images of the at least one portion of the environmental control system in operation to identify a change in the dynamic feature of the dynamic predetermined characteristic of the at least one portion of the environmental control system, and determining, with the controller, whether an abnormality exists in the at least one portion of the environmental control system based on the identified change in the dynamic feature between the real time images and the stored images of the at least one portion of the environmental control system.