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Three-dimensional laser point cloud automatic fusion algorithm for converter in steel furnace

A fusion algorithm and 3D laser technology, applied in image data processing, instruments, etc., can solve problems such as short service life, marker detection, influence of data fusion accuracy, connection difficulties, etc., to ensure safe production and prevent steel breakout accidents in converters , the effect of prolonging the service life

Active Publication Date: 2018-07-06
HANGZHOU ZHONGKE TIANWEI TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, on the one hand, the installation (selection, layout, connection, etc.) of the target is difficult, and its service life is short; Marker detection, data fusion accuracy, etc. have a serious impact

Method used

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  • Three-dimensional laser point cloud automatic fusion algorithm for converter in steel furnace
  • Three-dimensional laser point cloud automatic fusion algorithm for converter in steel furnace
  • Three-dimensional laser point cloud automatic fusion algorithm for converter in steel furnace

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Embodiment

[0026] Such as figure 1 As shown, the processing flow of this algorithm includes three main parts, converter area data extraction, converter feature extraction, and converter point cloud data fusion.

[0027] For multiple observation data at the same location (converter rotates at different angles), two different methods are used to extract the converter area: (a) point cloud direct phase difference method, (b) scanned image phase difference method.

[0028] The point cloud direct difference rule directly takes the reference data (a certain data selected from the observed multiple sets of data) as the benchmark, and then subtracts other observed data from the reference data; Set a certain tolerance limit (3d distance threshold), the tolerance limit here is related to the nominal accuracy of the instrument and the distance between the measuring points, the range here is roughly 0.5 ~ 2cm (the nominal accuracy of the instrument is 3mm@10m, the distance measurement about 10m); f...

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Abstract

The invention relates to a three-dimensional laser point cloud automatic fusion algorithm for converter in a steel furnace. The algorithm comprises converter area data extraction, converter feature extraction and converter data fusion. The invention has the advantages that: the furnace lining of the steel furnace can be monitored in real time. The erosion condition of the furnace lining of the converter can be automatically detected under the condition of not being shut down. The occurrence of steel leakage accidents of the converter can be prevented. The safety production of the steel furnaceis guaranteed; the furnace lining repair can be reasonably guided. The waste of the furnace charge can be reduced and the service life of the furnace lining is prolonged.

Description

technical field [0001] The invention relates to the field of metallurgy, in particular to a three-dimensional laser point cloud automatic fusion algorithm for a steel furnace converter. Background technique [0002] The lining thickness or ablation condition of steel furnace converter is of great significance to the safe production of steel furnace. Due to the limitations of the production environment of steel mills (high temperature, dust, vibration, etc.), there has been a lack of effective online monitoring methods for the use of converter linings during operation for a long time. The traditional way to deal with this is to manually inspect the cooled steel furnace lining while the steel mill is shut down. The shortcomings of this method mainly include: economic loss caused by shutdown, energy loss and environmental pollution caused by steel furnace cooling and heating, and low detection efficiency, accuracy or precision. With the development of laser radar and other te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T19/20
CPCG06T19/20
Inventor 曹如军
Owner HANGZHOU ZHONGKE TIANWEI TECH
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