A detection method of raw anode carbon block based on machine vision

Abstract

The invention relates to a method for detecting raw anode carbon blocks, in particular to a method for detecting raw anode carbon blocks based on machine vision for the intelligent production of carbon plants. A green anode carbon block detection method based on machine vision. Cameras are set at the outlet of the carbon block forming machine in the forming workshop to collect images of carbon blocks from multiple angles. The cameras collect images of each surface of the carbon block, and then perform offline modeling and online detection; The offline modeling consists of two parts: the modeling of the top surface of the carbon block and the modeling of the remaining five surfaces; the online detection includes the detection of the top surface of the carbon block, the detection of the remaining five surfaces of the carbon block, and the judgment strategy of the qualified carbon block. The advantages and effects of the present invention: 1. The carbon block detection link in the forming workshop is intelligent, which reduces the labor quota; 2. The carbon block detection based on machine vision implements a unified standard, which is not affected by human subjective consciousness and personnel status, and the detection results are more accurate. Accurate; 3. This method can store the results of carbon block detection in the database, and provide data support for the MES system of the whole plant.

Description

technical field [0001] The invention relates to a method for detecting raw anode carbon blocks, in particular to a method for detecting raw anode carbon blocks based on machine vision for the intelligent production of carbon plants. Background technique [0002] With the development of science and technology, higher and higher requirements are put forward for the intelligent production of carbon factories. The replacement of labor by intelligent equipment has become a mainstream model for the development of intelligent factories. The process in the raw anode workshop of the carbon factory is complex, the working conditions are harsh, and the demand for intelligent production is more urgent. [0003] At present, the detection of carbon blocks in the forming process of raw anode workshops in carbon factories mainly depends on on-site manual naked eyes. Long-term on-site work is harmful to the health of the staff, and it is easy to cause detection due to factors such as fatigue...

AI Technical Summary

Problems solved by technology

[0003] At present, the detection of carbon blocks in the forming process of the raw anode workshop of the carbon factory mainly depends on the on-site manual naked eyes. Long-term on-site work is harmful to the health of the staff, and it is easy to cause detection due to factors such as fatigue, physical condition and subjective consciousness of the personnel. Mistakes, resulting in material waste or product quality degradation

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