A kind of auxiliary system and method for hole detection intelligent detection of gas turbine engine

A gas turbine and auxiliary system technology, applied in computer parts, image analysis, instruments, etc., can solve problems such as missed and false detections, hidden dangers of aircraft flight safety, increased labor costs, etc., to reduce missed detections and meet remote Multiple people work together to achieve the effect of real-time data transmission

Active Publication Date: 2022-07-01
CIVIL AVIATION FLIGHT UNIV OF CHINA
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AI Technical Summary

Problems solved by technology

At present, the detection of engine defects mainly relies on the experience of borehole surveyors to judge, which may lead to missed and false detections due to human errors, which poses a huge hidden danger to aircraft flight safety
Therefore, airline companies require cross-checking of borehole video, but this also increases labor costs; due to the complex structural composition and various types of damage inside the aero-engine, traditional borehole image processing technology is relying on Based on the identification of defect characteristics based on expert experience, it is difficult to meet the requirements for identification of damage types and damage locations in the actual engine borehole detection process

Method used

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  • A kind of auxiliary system and method for hole detection intelligent detection of gas turbine engine
  • A kind of auxiliary system and method for hole detection intelligent detection of gas turbine engine
  • A kind of auxiliary system and method for hole detection intelligent detection of gas turbine engine

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Embodiment 1

[0045] like figure 1 Shown is the detection flow chart of the hole detection intelligent detection auxiliary system of the gas turbine engine. First, a data set for training the neural network is constructed. In the embodiment of the present invention, the high-pressure turbine part of the aero-engine is taken as the research object, and the defects of the high-pressure turbine are roughly divided into four categories: ablation, cracks, missing coatings, and missing materials. The training data is collected from the hole detection data of a major repair factory in China, the maintenance data of the hole detection of an airline, the hole detection data of an airline's lease withdrawal, and the self-built data of the hole detection instrument.

[0046] The hole detection data of the engine usually collected are mostly video files, such as figure 2Shown is the processing flow chart of hole detection data. Because the original hole detection video data has problems such as stron...

Embodiment 2

[0079]This embodiment constructs an auxiliary system for hole detection intelligent detection of a gas turbine engine, such as Figure 7 As shown in the figure, it includes a data set building module, a defect detection model building and training module, a local area network building module, a server-side running display module, and a Raspberry Pi-side UI interface; among them, the data set building module is used to sequentially perform data samples on the hole exploration data. Collection, data sample processing, and data sample labeling, to obtain a data set for training the neural network; the defect detection model building and training module, based on the data set used to train the neural network, build an experimental environment platform for the engine defect detection model and conduct engine defect detection models. The defect detection model is trained to obtain the optimal model of engine defect detection; the local area network building module is used to send the...

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Abstract

The invention discloses an auxiliary system and method for hole detection intelligent detection of a gas turbine engine, relates to the technical field of engine defect identification, and includes a data set construction module, a defect detection model construction and training module, a local area network construction module, a server-side operation display module, Front-end UI interface; first build a dataset for training the neural network, train the optimal model for engine defect detection, and send the frame information encoded in the front-end video signal of the hole detector to the server through the local area network, and decode the frame information. The obtained hole detection video frames are then input into the optimal model for engine defect detection, and the marked hole detection video frames are sent to the front end, and displayed on the front-end screen through the UI interface. The invention reduces the missed detection caused by human beings, improves the detection stability and detection accuracy, reduces the consumption of labor costs, realizes real-time data transmission, and meets the needs of remote multi-person collaborative work.

Description

technical field [0001] The invention relates to the technical field of engine defect identification, and more particularly to an auxiliary system and method for intelligent detection of hole detection of a gas turbine engine. Background technique [0002] Aero-engine is a highly complex and precise thermal machine, which is the engine that provides the power required for the flight of the aircraft, which directly affects the performance, reliability and economy of the aircraft. The main types of aero engines are piston aero engines, gas turbine engines and ramjet engines. Among them, gas turbine engines are the most widely used, including turbojet engines, turbofan engines, turboprop engines and turboshaft engines. Combustor and gas turbine. [0003] The maintenance and care of the aircraft and the technical equipment on the aircraft to ensure the safety of the aircraft is the premise and necessary condition for the use of the aircraft, and the maintenance of the aircraft e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/762G06V10/774G06K9/62G06N3/02G06T7/00
CPCG06N3/02G06T7/0004G06F18/23213G06F18/214
Inventor 敖良忠吴梓祺余肖飞马瑞阳易相兵朱俊名
Owner CIVIL AVIATION FLIGHT UNIV OF CHINA
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