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

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...

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

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