A method for extracting blast furnace material line
An extraction method and material line technology, applied in the field of blast furnace material line monitoring, can solve problems such as missing material lines and jumping
Active Publication Date: 2020-06-02
UNIV OF SCI & TECH BEIJING
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Problems solved by technology
[0004] The technical problem to be solved by the present invention is to provide a blast furnace material line extraction method to solve the problems existing in the prior art that are prone to missing material lines and local jumps when detecting material lines
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[0051] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.
[0052] The invention provides a method for extracting a blast furnace material line, aiming at the existing problems that material line disappearance and local jumps are easy to occur when detecting the material line.
[0053] Such as figure 1 As shown, the blast furnace material line extraction method provided by the embodiment of the present invention includes:
[0054] S101, collecting the radar echo signal of the blast furnace site, wherein the radar wave sent by the radar system can cover all areas of the radial material surface of the blast furnace;
[0055] S102, generating a signal timing spectrum diagram of the radar echo signal;
[0056] S103, performing data enhancement on the signal time-series spectrum diagram and obtaining material line ...
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The invention provides a blast furnace material line extraction method, which can improve the accuracy, generalization and real-time performance of blast furnace material line extraction. The method includes: collecting radar echo signals on the blast furnace site, wherein the radar waves sent by the radar system can cover all areas of the radial material surface of the blast furnace; generating a signal timing spectrum diagram of the radar echo signal; analyzing the signal timing spectrum Carry out data enhancement and obtain the labeling results of the material line, establish a material line segmentation database according to the signal time series spectrum diagram after data enhancement and material line labeling results; build a modular full convolutional network model, and train the institute according to the established material line segmentation database The modularized fully convolutional network model is described; the blast furnace radar echo signal to be detected is collected in real time and the signal time-series spectrum diagram is generated. According to the trained modularized full convolutional network model, the material line segmentation is performed on the signal time-series spectrum diagram. . The invention relates to the field of blast furnace material line monitoring.
Description
technical field [0001] The invention relates to the field of blast furnace material line monitoring, in particular to a blast furnace material line extraction method. Background technique [0002] In the ironmaking industry, the measurement and optimization control of the blast furnace charge level to adjust the distribution is the key to improving production efficiency and energy saving and emission reduction. Obtaining accurate and real charge level information is conducive to the adjustment of the blast furnace charge distribution strategy, ensuring that the materials in the furnace and the furnace Therefore, it is of great significance to obtain real-time and accurate information on the shape of the material surface in the blast furnace for the reasonable distribution of the gas flow. At present, high-frequency microwave radar is an ideal measurement sensor in the complex environment of the blast furnace, and is widely used in the detection of the blast furnace charge le...
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IPC IPC(8): G01S7/41G01S13/88G06N3/04G06N3/08
CPCG06N3/084G01S7/417G01S13/88G06N3/045
Inventor 陈先中张蒙侯庆文李江昀
Owner UNIV OF SCI & TECH BEIJING