Automatic analysis and identification device of internal defect in cast and its analysis and identification method

Abstract

The invention discloses a device and method to analyze and recognize defect in interior of cast product. The device consists of display screen, cabinet and panel, connecting cable, power supply switch, multi-function key and circuit card. The power supply switch and multi-function key are installed on the panel and connected to relevant point of the circuit card that is installed in the cabinet. The circuit is composed of following components of A / D conversion circuit, digital signal processor, synchronous random access memory, programmable read only memory, address decoder and chip selecting controller, serial interface circuit, output circuit for liquid crystal display connected by power supply lines and each signal lines. The invention can analyze and recognize defect in real time with accuracy, reliable and high efficiency.

Description

technical field [0001] The invention is an automatic analysis and identification device for internal defects of castings and an analysis and identification method thereof, belonging to digital image analysis and identification technology and equipment. Background technique [0002] Metal casting is an industrial process of processing metal into the desired geometric shape. The main process is to pour the molten metal into the mold, and obtain the shape required by the design after cooling. In this production process, due to the influence of many factors such as process design, material formula, production equipment, environmental conditions, etc., castings inevitably form various casting defects. As the requirements for the quality of casting products are getting higher and higher, higher requirements are also put forward for the detection, analysis and identification methods of casting product quality. Due to the diversity of casting products, the...

AI Technical Summary

Problems solved by technology

The inspection process often requires repeated comparison, identification and judgment of defect images of up to 7 categories and 8 levels that appear in the same type of product. In this long-term and boring inspection and identification work environment, it is easy to cause eye fatigue, so It will inevitably directly affect the accuracy and efficiency of detection

That is to say, there are shortcomings and problems in the existing technology that the detection and recognition personnel are very laborious, labor-intensive, prone to fatigue, low detection and recognition efficiency, poor accuracy, and large randomness.

[0003] The purpose of the present invention is to overcome and solve the problem that there is no special device for automatic detection, analysis and recognition of internal defects of castings or existing detection, analysis and recognition technology, and the existence of detection and recognition personnel is very laborious, laborious, easy to fatigue, low in efficiency, large in randomness, and accurate In order to solve the shortcomings and problems of poor performance, research, design, and invent a device that can automatically analyze and identify the internal defect images of castings that are acquired online in real time, and its analysis and identification methods have high precision, good accuracy, high reliability, and high efficiency. , low labor intensity and low cost

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