Multi-Engine Synchronous Detection System
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Solution Overview
Problem
Existing engine detection technologies fail to effectively perform synchronous detection of multiple engines and accurately evaluate the state of each component, complicating fault diagnosis due to increasing engine complexity and diverse intelligent equipment integration.
Innovation Solution
A multi-engine synchronous detection and analysis system comprising an information input module, information matching module, fault processing module, operation analysis module, data repository, and maintenance report module, which inputs engine information, matches engine models, identifies fault locations, performs maintenance, analyzes operation states, stores data, and summarizes prone components for predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing engine detection technology is used, then single-engine detection can be performed, but synchronous detection of multiple engines and accurate evaluation of each component cannot be realized
Solution Approach 1:
The detection system is segmented into multiple independent detection modules, each responsible for detecting specific parameters of specific engines. This allows simultaneous detection of multiple engines while maintaining manageable complexity through modular design. Each module can be independently configured and optimized for its specific detection task.
Solution Approach 2:
The detection system is designed with universal functionality to handle multiple engine types and detection scenarios through a single integrated platform. The system can adapt to different engine models, configurations, and detection requirements, providing accurate fault identification across diverse engine systems without requiring separate specialized equipment for each engine type.
2Measurement precision
If engine model and image matching is performed, then fault location identification accuracy is improved, but detection time increases
Solution Approach 1:
Engine models and reference images are pre-processed and stored in a database before actual detection occurs. The system pre-establishes feature extraction algorithms and comparison matrices, so that during real-time detection, only necessary comparisons need to be performed. This preliminary preparation significantly reduces the time required for fault location identification while maintaining high accuracy.
Solution Approach 2:
The image matching process focuses on local feature regions rather than processing the entire engine image. By identifying and comparing only the most discriminative local features (such as specific component geometries, mounting patterns, or visual markers), the system achieves accurate fault location identification with reduced computational time and resources.
3Measurement precision
If three-dimensional modeling and life prediction are performed, then operation state evaluation accuracy is improved, but processing complexity and time increase
Solution Approach 1:
The system transforms complex three-dimensional engine models into simplified parameter representations that capture essential operational characteristics. By extracting key parameters (such as dimensional measurements, geometric ratios, or feature vectors) from the 3D models, the system can perform life prediction and operation state evaluation using computationally efficient parameter-based algorithms rather than full 3D simulations, significantly reducing processing complexity while maintaining evaluation accuracy.
Data Source
AI summary
The invention presents a multi-engine synchronous detection and analysis system. It includes modules for inputting engine information, matching engine models, identifying fault locations, and processing faults. After maintenance, the system analyzes engine operation, stores data, and generates maintenance reports summarizing fault causes and locations. It optimizes the matching module based on regulatory outcomes. Using three-dimensional modeling and operational mechanisms, the invention evaluates engine state and predicts its lifespan. It summarizes components prone to failure across different engine types using historical and maintenance data.