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Method for monitoring working state of blast-furnace tuyere

A technology of working status monitoring and working status, which is applied in the direction of neural learning methods, still image data retrieval, instruments, etc., can solve the problem that the abnormal condition of the tuyere cannot be monitored in real time, and achieve the reduction of working time and labor costs, high accuracy, and The effect of realizing the automation function

Pending Publication Date: 2021-01-05
WISDRI ENG & RES INC LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

Although light-sensing equipment can extract brightness-related information, it cannot monitor the abnormal conditions of the tuyere in real time

Method used

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  • Method for monitoring working state of blast-furnace tuyere
  • Method for monitoring working state of blast-furnace tuyere
  • Method for monitoring working state of blast-furnace tuyere

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Embodiment 1

[0031] A method for monitoring the working state of a blast furnace tuyere, comprising:

[0032] S100. Collect historical data of blast furnace tuyere monitoring video images, classify the images and mark the image categories according to the normal state and typical abnormal state of the tuyere, and make the marked images into a blast furnace tuyere state image data set.

[0033] In some preferred embodiments, S100 specifically includes: classifying and labeling images of blast furnace tuyeres, classifying images, including normal situations and abnormal situations; The data is divided into two parts, one part is the training set, which is used to train the image classifier; the other part is the test set, which is used to test the classification effect of the image classifier.

[0034] Specifically, a specific plant or blast furnace may be used to collect video from an imager for tuyere, and video images of the tuyere of the blast furnace may be collected. Abnormal conditio...

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Abstract

A method for monitoring the working state of a blast-furnace tuyere in real time comprises the steps of acquiring and classifying and labeling historical data of monitoring video images of the blast-furnace tuyere to form an image data set for the state of the blast-furnace tuyere; based on a convolutional neural network model, training and testing the neural network model by utilizing the image data set for the state of the blast-furnace tuyere to obtain a convolutional neural network model based on working state of the the blast-furnace tuyere; and by utilizing the obtained convolutional neural network model based on the working state of the blast-furnace tuyere , classifying and identifying a current frame image in the blast-furnace tuyere video acquired in real time to achieve the purpose of monitoring the working state of the blast-furnace tuyere. Compared with the prior art, manual real-time video monitoring is not needed, and the manual working time and labor cost are reduced; and compared with manual monitoring, monitoring accuracy of the working state of the the blast-furnace tuyere is higher, and the automatic function of state anomaly detection of the blast-furnace tuyere is achieved.

Description

technical field [0001] The invention relates to the technical field of blast furnace ironmaking, in particular to a method for monitoring the working state of a blast furnace tuyere. Background technique [0002] Blast furnace smelting is a continuous production process in which iron ore is reduced into pig iron. Solid raw materials such as iron ore, coke and solvent are fed into the blast furnace in batches from the top of the blast furnace. Blast furnace tuyeres are passages through which hot air is sent into the furnace to react with coal powder and coke. Blast furnace tuyeres work in the environment of high temperature, high pressure and gas flushing for a long time, which is a part that is prone to safety accidents, so its monitoring is particularly important. In order to monitor the working state of the tuyeres, the traditional method is to directly observe with the naked eye through a peephole. For example, send personnel to inspect the tuyere area within 8 hours. H...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06F16/55
CPCG06N3/08G06F16/55G06V20/52G06N3/045G06F18/214G06F18/2414
Inventor 吴映江吴锐夫徐永斌
Owner WISDRI ENG & RES INC LTD
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