阅读说明：本技术 一种基于极化特征的铁水流速检测装置 (Molten iron flow velocity detection device based on polarization characteristics ) 是由 蒋朝辉 周昊 徐勇 何磊 桂卫华 李端发 刘强 肖鹏 于 2020-03-11 设计创作，主要内容包括：本发明公开了一种基于极化特征的铁水流速检测装置,包括高速相机视频捕捉单元、与所述高速相机视频捕捉单元依次连接的视频采集单元、视频预处理单元、极高光特征位移场计算单元以及铁水流速检测单元,视频预处理单元,提取帧图像组中帧图像的极高光特征,极高光特征位移场计算单元,用于根据极高光特征获取亚像素级位移场,铁水流速检测单元,用于根据亚像素级位移场,获取铁水流的流速,解决了现有对具有高温、高速、高光的铁水流的流速检测精度不高的技术问题,提供了在恶劣检测环境下检测超高温、高速、高光的铁水流速的实时检测装置,该装置安装方便,操作简单灵活,且能适应更恶劣下的环境,检测对象应用范围广。(The invention discloses a molten iron flow velocity detection device based on polarization characteristics, which comprises a high-speed camera video capturing unit, a video acquisition unit, a video preprocessing unit, an extremely high light characteristic displacement field calculation unit and a molten iron flow velocity detection unit, wherein the video acquisition unit, the video preprocessing unit, the extremely high light characteristic displacement field calculation unit and the molten iron flow velocity detection unit are sequentially connected with the high-speed camera video capturing unit, the video preprocessing unit is used for extracting the extremely high light characteristics of frame images in a frame image group, the extremely high light characteristic displacement field calculation unit is used for acquiring a sub-pixel level displacement field according to the extremely high light characteristics, the molten iron flow velocity detection unit is used for acquiring the flow velocity of molten iron flow according to the sub-pixel level displacement field, the technical problem that the existing flow velocity detection precision of molten iron flow with high temperature, high speed and high light is not high is solved, the real-time detection device for, the method is simple and flexible to operate, can adapt to harsher environment, and has a wide application range of detection objects.)

1. The molten iron flow velocity detection device based on the polarization characteristics is characterized by comprising a high-speed camera video capturing unit (10), a video acquisition unit (20) sequentially connected with the high-speed camera video capturing unit (10), a video preprocessing unit (30), an extremely high light characteristic displacement field calculation unit (40) and a molten iron flow velocity detection unit (50), wherein:

the high-speed camera video capturing unit (10) is used for acquiring high-frame-rate video stream information of molten iron flow at a blast furnace taphole;

the video acquisition unit (20) is used for performing analog-to-digital conversion, storage and compression on the high frame rate video stream information so as to obtain a compressed video stream;

the video preprocessing unit (30) is used for decomposing the compressed video stream into a frame image group in time sequence and extracting the extremely high light characteristic of the frame image in the frame image group;

the extremely high light characteristic displacement field calculation unit (40) is used for acquiring a sub-pixel level displacement field according to the extremely high light characteristic;

and the molten iron flow velocity detection unit (50) is used for acquiring the flow velocity of the molten iron flow according to the sub-pixel level displacement field.

2. The molten iron flow velocity detection apparatus based on polarization characteristics as claimed in claim 1, wherein the video preprocessing unit (30) comprises a video stream decomposition module (301), a molten iron flow region of interest extraction module (302) connected with the video stream decomposition module (301) in sequence, a B-channel decomposition module (303), and an ultra-high light characteristic extraction module (304), wherein:

the video stream decomposition module (301) is used for decomposing the compressed video stream into frame image groups in time sequence;

the interest molten iron flow region extraction module (302) is used for extracting an interest molten iron flow region of a frame image in the frame image group;

the B channel decomposition module (303) is used for extracting a B channel image of the frame image;

the extreme highlight feature extraction module (304) is configured to perform spatial domain gray scale linear transformation on the B-channel image, so as to obtain an extreme highlight feature of the frame image, and a specific formula for performing spatial domain gray scale linear transformation on the B-channel image is as follows:

wherein B (i) is the transformed gray level, i is the position of the pixel, g (i) is the gray level of the B-channel image, and x is the minimum value of the gray level of the B-channel image.

3. The molten iron flow velocity detection apparatus based on polarization characteristics as claimed in claim 2, wherein the extreme light characteristic displacement field calculation unit (40) comprises an extreme light characteristic matching module (401), a correlation intensity map calculation module (402) and a sub-pixel level displacement field extraction module (403) which are connected in sequence with the extreme light characteristic matching module (401), wherein:

the extremely high light feature matching module (401) is used for matching extremely high light features in adjacent frame images by utilizing a cross-correlation method;

the correlation intensity map calculation module (402) is used for calculating and obtaining a correlation intensity map according to the similarity between pixel subsets in a preset window in adjacent frame images;

and the sub-pixel level displacement field extraction module (403) is used for performing quadratic surface fitting on the relevant intensity map and obtaining a sub-pixel level displacement field according to the fitted quadratic surface.

4. The molten iron flow velocity detection apparatus according to claim 3, wherein the molten iron flow velocity detection unit (50) comprises a high precision displacement field module (501), a camera calibration module (502) and a flow velocity calculation module (503) sequentially connected to the high precision displacement field module (501), wherein:

the high-precision displacement field module (501) is used for performing neighborhood filtering on the sub-pixel level displacement field so as to obtain a high-precision displacement field;

the camera calibration module (502) is used for calibrating a high-speed camera and obtaining the real moving horizontal distance of the extremely-high light feature in a world coordinate system according to the moving horizontal pixel distance of the extremely-high light feature;

and the flow velocity calculating module (503) is used for averaging the horizontal displacement vectors of all the extremely-high light characteristics in the high-precision displacement field and calculating the horizontal distance of the molten iron moving in the interval time of two continuous frames of images, so as to obtain the flow velocity of the molten iron flow.

5. The molten iron flow velocity detection device based on polarization characteristics as claimed in claim 4, wherein the high-precision displacement field module (501) comprises a sequencing submodule, a first average value obtaining submodule, a second average value obtaining submodule, an abnormal value obtaining submodule and a filtering submodule which are sequentially connected with the sequencing submodule, wherein:

the sequencing submodule is used for sequencing non-zero values from large to small in a preset horizontal pixel displacement vector region of the sub-pixel level displacement field to obtain a horizontal pixel displacement vector sequence;

the first average value obtaining sub-module is used for carrying out difference between the displacement vectors of the horizontal pixel displacement vector sequence, taking the absolute value of the difference to obtain a difference sequence, and calculating the average value of the difference sequence to obtain a first average value;

the second average value obtaining submodule is used for obtaining three minimum differential values in the differential sequence, calculating an average value of the displacement vectors corresponding to the three minimum differential values and obtaining a second average value;

the abnormal value acquisition submodule is used for judging whether the difference between a single displacement vector in a preset horizontal pixel displacement vector area and the second average value exceeds the first average value or not, and if so, the abnormal value acquisition submodule is regarded as an abnormal value;

and the filtering submodule is used for calculating the average value of a displacement vector set of non-abnormal values in a preset horizontal pixel displacement vector area, and replacing and filtering the abnormal values.

6. The molten iron flow velocity detection apparatus based on polarization characteristics as claimed in claim 5, wherein the high speed camera video capturing unit (10) comprises a high speed camera lens (101) mounted on a high speed camera body, and a lens dust cleaning module (102) and a high speed camera air cooling module (103) disposed on the high speed camera lens (101), wherein:

the high-speed camera lens (101) is used for acquiring high-frame-rate video stream information of molten iron flow at a blast furnace taphole;

the lens dustproof cleaning module (102) is used for cleaning the high-speed camera lens (101);

and the high-speed camera air cooling module (103) is used for cooling the body of the high-speed camera.

7. The molten iron flow velocity detection apparatus based on polarization characteristics as claimed in claim 1 or 3, further comprising an FPGA hardware platform integrating the video preprocessing unit (30) and the extreme light characteristic displacement field calculation unit (40), the FPGA hardware platform comprising a high-speed video acquisition module, a communication control module, an execution module, a memory module, a power supply module and an image output module, wherein:

the high-speed video acquisition module is used for acquiring the compressed video stream output by the video acquisition module;

the memory module is connected with the high-speed video acquisition module, the communication control module and the execution module and is used for storing a video stream decomposition algorithm, an image region-of-interest extraction algorithm, a channel decomposition algorithm, a linear enhancement algorithm, a search algorithm, a quadratic surface fitting algorithm and data written by the communication control module;

the communication control module is connected with the high-speed video acquisition module, the memory module and the execution module, and is used for controlling the execution module and writing the processing result of the execution module into the memory module;

the execution module is connected with the communication control module and the memory module and is used for decomposing the compressed video stream into frame image groups in sequence by adopting the video decomposition algorithm according to a control instruction sent by the communication control module, extracting an interested molten iron flow region of a frame image in the frame image groups by adopting the image interested region extraction algorithm, extracting a B channel image of the frame image by adopting a channel decomposition algorithm, and performing spatial domain gray level linear transformation on the B channel image by adopting a linear enhancement algorithm, thereby obtaining the extremely high light characteristic of the frame image, obtaining a correlation intensity graph by adopting a search algorithm, carrying out quadratic surface fitting on the correlation intensity graph by adopting a quadratic surface fitting algorithm, obtaining a sub-pixel level displacement field according to the peak value of the fitted quadric surface, wherein the number of the execution modules is consistent with the group number of the frame image group;

the power supply module is used for supplying power to the FPGA hardware platform;

and the image output module is used for transmitting the sub-pixel level displacement field obtained by the execution module to the molten iron flow velocity detection unit (50).

8. The molten iron flow rate detection apparatus based on polarization characteristics as claimed in claim 7, further comprising a multi-DSP (digital Signal processing) hardware platform for integrating the molten iron flow rate detection unit (50), the multi-DSP hardware platform comprising an acquisition module, a task division module, a task management module, a data command collection module, a storage module, a data output module and a DSP chip module, wherein:

the acquisition module is used for receiving the sub-pixel level displacement field groups output by the extremely-high light characteristic displacement field calculation unit (40), starting threads and queues with the same number as the sub-pixel level displacement field groups, and each thread is responsible for acquiring the corresponding sub-pixel level displacement field in real time and storing the sub-pixel level displacement field in the corresponding queue;

the command collection module is connected with the acquisition module, the storage module, the task management module and the DSP chip module, and is used for receiving a busy signal of the acquisition module, transmitting the busy signal of the acquisition module to the task management module, acquiring a task instruction sent to the DSP chip module in real time, receiving a signal sent by the DSP chip module, and transmitting the task instruction and the signal to the task management module for processing;

the task management module is connected with the command collection module, the DSP chip module and the task division module, and is used for loading a high-precision displacement field algorithm, a camera calibration algorithm and a flow rate calculation algorithm for each DSP chip in the DSP chip module according to a preset task sequence in the storage module and managing communication tasks among the DSP chips in the DSP chip module;

the task division module is connected with the task management module and the DSP chip module and is used for respectively distributing the sub-pixel level displacement field to each DSP chip in the DSP chip module to perform high-precision displacement field calculation and extremely-high light characteristic horizontal displacement vector calculation so as to obtain the horizontal pixel distance of movement of the extremely-high light characteristic;

the storage module is connected with the command collection module and the DSP chip module and is used for storing the algorithm and the data result of the preset task;

and the data output module is connected with the DSP chip module and is used for outputting the flow velocity of the molten iron flow.

9. The molten iron flow velocity detection device based on the polarization characteristics as claimed in claim 8, wherein the DSP chip module comprises a master DSP chip and at least one slave DSP chip, and each DSP chip in the DSP chip module is connected at high speed by using a high-speed serial interface.

10. The molten iron flow velocity detection device based on polarization characteristics of claim 9, wherein the FPGA hardware platform and the multi-DSP hardware platform are both debugged and programmed by using JTAG (Joint Test Action group) interfaces.

Technical Field

The invention mainly relates to the technical field of molten iron flow velocity detection, in particular to a molten iron flow velocity detection device based on polarization characteristics.

Background

In the steel industry, metallic iron is extracted from ores or concentrates by a pyrometallurgical method under high temperature conditions, and the produced molten metallic iron and slag flow out of a high-temperature closed blast furnace at high speed. The flow rate of the molten fluid at the outlet of the blast furnace is an important index for representing the pressure in the blast furnace and whether the molten fluid is smoothly carried out, but the pressure change in the blast furnace is difficult to measure by a direct detection means due to the severe environment in the blast furnace and a typical black box system. The flow velocity of detecting the molten iron at the outlet of the blast furnace can represent the pressure inside the blast furnace, and can reflect the proportional relation between the produced molten iron and the iron slag, thereby being beneficial to timely finding and removing abnormal working conditions, improving the air permeability of the reaction furnace and ensuring the stable and smooth production of the blast furnace. Therefore, the detection of the flow rate of the molten iron at the outlet of the blast furnace is particularly important for the safe production and quality improvement of the reaction furnace.

The detection object of the invention is high-temperature high-light molten iron flowing out from the outlet of the blast furnace, and the detection field has unavoidable vibration, a large amount of dust and other strong interference factors, thus bringing great challenges to the detection. The existing detection device for the flow velocity of the high-temperature molten fluid is mainly divided into a contact type detection device and a non-contact type detection device, wherein the contact type flow velocity detection device adopts a high-temperature resistant material to directly contact with the high-temperature molten fluid to generate measurable data so as to achieve the purpose of detecting the flow velocity of the high-temperature molten fluid in real time, however, the high-speed and high-temperature fluid gradually abrades and erodes the high-temperature resistant material, so that the repeatability of the device is poor, the service cycle is short, the service life and the service performance of the device can be influenced by the severe environment; the non-contact flow velocity detection device obtains image information of the molten fluid through the device, but the detection accuracy is seriously influenced by the ultrahigh temperature of a detection object and the environment harshness.

The method comprises the steps of attaching a cross wire label to a tank body of a torpedo tank by an image method, carrying out rough positioning by a characteristic matching method through image processing of cross wires, realizing accurate positioning by applying angular point detection, obtaining the downward pressing moving distance of a spring of the torpedo tank car, calculating the mass of molten iron flowing into the torpedo tank car, and calculating the flow of real-time molten iron flow field workers to molten iron at a taphole. However, the measurement method has large time lag and inaccuracy, and is difficult to provide effective guiding significance for stable and efficient production of the blast furnace.

The numerical simulation method calculates the flow velocity value of molten iron at each stage of blast furnace tapping by establishing a mechanism model of molten iron outflow from a blast furnace tap hole and utilizing a numerical simulation method, but the method needs a good assumed environment and unknown parameter values, and cannot obtain an accurate flow velocity value.

The detection of the flow velocity of the high-temperature and high-speed molten iron is extremely challenging, related patents are few, and the defects of the existing patents are large.

The invention discloses a device and a method for measuring the flow velocity of high-temperature molten steel of a continuous casting crystallizer, which are disclosed by the patent publication No. CN 103480813A, and the working principle of the device is that a bearing is fixed on a fixing device through a fixing shaft, the upper symmetrical position and the lower symmetrical position of the bearing are respectively provided with a spring and a measuring rod, the spring is arranged on a T-shaped fixing device, the bearing is provided with a bearing sleeve, the bearing sleeve and an angle displacement sensor are connected through a coupler, the angle displacement sensor is powered by a power supply, the real-time deflection angle of the measuring rod in the flowing molten steel is recorded, and the real-time deflection angle is transmitted to a data acquisition and. However, the device needs to be re-registered according to different detection objects of the device, the device is preheated to 1200-1400 ℃ before use, the detection range is small, fluid with overlarge flow rate cannot be detected, the device cannot directly detect the next object after detection is finished, and the repeatability in use is limited.

Patent publication No. CN 110058046A invention patent is a fluid flow velocity measurement method and device based on convection heat transfer, the method includes the following steps: s1, selecting a measuring probe, and enabling the selected measuring probe to be internally provided with a flow channel for the medium to flow in and out; s2, conveying cooling fluid with constant temperature to the inside of the flow channel, and placing the measuring probe into the measured fluid; s3, when the heat transfer between the measuring probe and the measured fluid is steady heat transfer, acquiring the temperature Tk of the measured fluid, the surface temperature Tw of the measuring probe and the temperature T2 of the cooling fluid at the outlet end of the flow channel; and S4, calculating the flow velocity u of the measured fluid based on Tk, Tw, T2 and a preset formula. The device comprises: the temperature measuring device comprises a measuring probe, a pumping mechanism, a flow meter, a first temperature measuring meter, a second temperature measuring meter, a third temperature measuring meter and a controller. Obviously, the fluid measurement object described in the patent has certain limitations, the measured fluid object has a temperature difference with the cooling fluid, the equipment requirement can be inserted into the fluid, the equipment material has certain requirements, the measurement cost for the high-temperature molten fluid is high, the diameter of the flow channel can be determined according to the actual situation, and the universality is not high, so that the method has great limitations in measuring the flow rate of the fluid.

Disclosure of Invention

The molten iron flow velocity detection device based on the polarization characteristics solves the technical problem that the existing molten iron flow velocity detection device with high temperature, high speed and high light is not high in precision.

In order to solve the above technical problem, the present invention provides a molten iron flow velocity detection apparatus based on polarization characteristics, comprising:

the device includes high-speed camera video capture unit, the video acquisition unit who connects gradually with high-speed camera video capture unit, video preprocessing unit, utmost point light characteristic displacement field computational element and molten iron velocity of flow detecting element, wherein:

the high-speed camera video capturing unit is used for acquiring high-frame-rate video stream information of molten iron flow at a blast furnace taphole;

the video acquisition unit is used for carrying out analog-to-digital conversion, storage and compression on the high frame rate video stream information so as to obtain a compressed video stream;

the video preprocessing unit is used for decomposing the compressed video stream into frame image groups in time sequence and extracting the extremely high light characteristics of the frame images in the frame image groups;

the extreme highlight characteristic displacement field calculation unit is used for acquiring a sub-pixel level displacement field according to the extreme highlight characteristic;

and the molten iron flow velocity detection unit is used for acquiring the flow velocity of the molten iron flow according to the subpixel level displacement field.

Further, the video preprocessing unit comprises a video stream decomposition module, an interested molten iron flow region extraction module, a B channel decomposition module and an extremely high light characteristic extraction module which are sequentially connected with the video stream decomposition module, wherein:

the video stream decomposition module is used for decomposing the compressed video stream into frame image groups in a time sequence;

the interested molten iron flow region extraction module is used for extracting an interested molten iron flow region of the frame image in the frame image group;

the B channel decomposition module is used for extracting a B channel image of the frame image;

the extreme highlight feature extraction module is used for performing spatial domain gray level linear transformation on the B channel image so as to obtain the extreme highlight feature of the frame image, and the specific formula for performing spatial domain gray level linear transformation on the B channel image is as follows:

where B (i) is the transformed gray level, i is the position of the pixel, g (i) is the gray level of the B-channel image, and x is the minimum value of the gray level of the B-channel image.

Further, the extreme high light characteristic displacement field calculation unit comprises an extreme high light characteristic matching module, a correlation intensity map calculation module and a sub-pixel level displacement field extraction module which are sequentially connected with the extreme high light characteristic matching module, wherein:

the extremely high light feature matching module is used for matching extremely high light features in adjacent frame images by utilizing a cross-correlation method;

the correlation intensity map calculation module is used for calculating and obtaining a correlation intensity map according to the similarity between the pixel subsets in the preset window in the adjacent frame images;

and the sub-pixel level displacement field extraction module is used for performing quadratic surface fitting on the relevant intensity graph and obtaining a sub-pixel level displacement field according to the fitted quadratic surface.

Further, molten iron velocity of flow detecting element includes high accuracy displacement field module, the camera calibration module and the velocity of flow calculation module that connect gradually with high accuracy displacement field module, wherein:

the high-precision displacement field module is used for performing neighborhood filtering on the sub-pixel level displacement field so as to obtain a high-precision displacement field;

the camera calibration module is used for calibrating the high-speed camera and obtaining the real moving horizontal distance of the extreme highlight feature in the world coordinate system according to the moving horizontal pixel distance of the extreme highlight feature;

and the flow velocity calculation module is used for averaging the horizontal displacement vectors of all the extremely-high light characteristics in the high-precision displacement field and calculating the horizontal distance of the molten iron moving in the interval time of two continuous frames of images so as to obtain the flow velocity of the molten iron.

Further, the high-precision displacement field module comprises a sorting submodule, a first average value obtaining submodule, a second average value obtaining submodule, an abnormal value obtaining submodule and a filtering submodule which are sequentially connected with the sorting submodule, wherein:

the sequencing submodule is used for sequencing non-zero values from large to small in a preset horizontal pixel displacement vector area of the sub-pixel level displacement field to obtain a horizontal pixel displacement vector sequence;

the first average value obtaining submodule is used for carrying out difference between the displacement vectors of the horizontal pixel displacement vector sequence, obtaining the absolute value of the difference to obtain a difference sequence, and calculating the average value of the difference sequence to obtain a first average value;

the second average value obtaining submodule is used for obtaining three minimum difference values in the difference sequence, calculating the average value of the displacement vectors corresponding to the three minimum difference values and obtaining a second average value;

the abnormal value acquisition sub-module is used for judging whether the difference between a single displacement vector in the preset horizontal pixel displacement vector area and the second average value exceeds the first average value or not, and if yes, the abnormal value is regarded as an abnormal value;

and the filtering submodule is used for calculating the average value of the displacement vector set of the non-abnormal values in the preset horizontal pixel displacement vector area, and replacing and filtering the abnormal values.

Further, the high-speed camera video capture unit includes high-speed camera lens installed on the high-speed camera body and lens dust-proof cleaning module and high-speed camera air cooling module arranged on the high-speed camera lens, wherein:

the high-speed camera lens is used for acquiring high-frame-rate video stream information of molten iron flow at a blast furnace taphole;

the lens dustproof cleaning module is used for cleaning the high-speed camera lens;

and the high-speed camera air cooling module is used for cooling the high-speed camera body.

Further, the device still includes the FPGA hardware platform of integrated video preprocessing unit and utmost point light characteristic displacement field computational element, and FPGA hardware platform includes high-speed video acquisition module, communication control module, execution module, memory module, power module and image output module, wherein:

the high-speed video acquisition module is used for acquiring the compressed video stream output by the video acquisition module;

the memory module is connected with the high-speed video acquisition module, the communication control module and the execution module and is used for storing data written by a video stream decomposition algorithm, an image interesting region extraction algorithm, a channel decomposition algorithm, a linear enhancement algorithm, a search algorithm, a quadric surface fitting algorithm and the communication control module;

the communication control module is connected with the high-speed video acquisition module, the memory module and the execution module, and is used for controlling the execution module and writing the processing result of the execution module into the memory module;

the execution module is connected with the communication control module and the memory module and used for decomposing a compressed video stream into a frame image group in sequence by adopting a video decomposition algorithm according to a control instruction sent by the communication control module, extracting an interested molten iron flow region of a frame image in the frame image group by adopting an image interested region extraction algorithm, extracting a B channel image of the frame image by adopting a channel decomposition algorithm, performing spatial domain gray level linear transformation on the B channel image by adopting a linear enhancement algorithm so as to obtain the extremely high light characteristic of the frame image, obtaining a related intensity image by adopting a search algorithm, performing quadratic surface fitting on the related intensity image by adopting a quadratic surface fitting algorithm, obtaining a sub-pixel level displacement field according to the peak value of the fitted quadratic surface, wherein the number of the execution modules is consistent with the number of the group of the frame image group;

the power supply module is used for supplying power to the FPGA hardware platform;

and the image output module is used for transmitting the sub-pixel level displacement field obtained by the execution module to the molten iron flow velocity detection unit.

Further, the device also comprises a multi-DSP (digital signal processing) hardware platform for integrating the molten iron flow velocity detection unit, wherein the multi-DSP hardware platform comprises an acquisition module, a task division module, a task management module, a data command collection module, a storage module, a data output module and a DSP chip module, wherein:

the acquisition module is used for receiving the sub-pixel level displacement field groups output by the extremely-high light characteristic displacement field calculation unit, starting threads and queues with the same number as the sub-pixel level displacement field groups, and each thread is responsible for acquiring the corresponding sub-pixel level displacement field in real time and storing the sub-pixel level displacement field in the corresponding queue;

the command collection module is connected with the acquisition module, the storage module, the task management module and the DSP chip module and is used for receiving a busy signal of the acquisition module, transmitting the busy signal of the acquisition module to the task management module, acquiring a task instruction sent to the DSP chip module in real time, receiving a signal sent by the DSP chip module, and transmitting the task instruction and the signal to the task management module for processing;

the task management module is connected with the command collection module, the DSP chip module and the task division module, and is used for loading a high-precision displacement field algorithm, a camera calibration algorithm and a flow rate calculation algorithm for each DSP chip in the DSP chip module according to a preset task sequence in the storage module and managing communication tasks among the DSP chips in the DSP chip module;

the task division module is connected with the task management module and the DSP chip module and is used for respectively distributing the sub-pixel level displacement field to each DSP chip in the DSP chip module to perform high-precision displacement field calculation and extremely-high light characteristic horizontal displacement vector calculation so as to obtain the horizontal pixel distance of extremely-high light characteristic movement;

the storage module is connected with the command collection module and the DSP chip module and is used for storing the algorithm and the data result of the preset task;

and the data output module is connected with the DSP chip module and is used for outputting the flow velocity of the molten iron flow.

Furthermore, the DSP chip module comprises a master DSP chip and at least one slave DSP chip.

Furthermore, each DSP chip in the DSP chip module adopts a high-speed serial interface to realize high-speed connection.

Furthermore, the FPGA hardware platform and the multi-DSP hardware platform adopt JTAG (Joint Test action group) interfaces for debugging and programming.

Compared with the prior art, the invention has the advantages that:

the invention provides a molten iron flow velocity detection device based on polarization characteristics, which comprises a high-speed camera video capturing unit, a video acquisition unit, a video preprocessing unit, an extremely high light characteristic displacement field calculation unit and a molten iron flow velocity detection unit, wherein the video acquisition unit, the video preprocessing unit, the extremely high light characteristic displacement field calculation unit and the molten iron flow velocity detection unit are sequentially connected with the high-speed camera video capturing unit, the high-speed camera video capturing unit is used for acquiring high frame rate video stream information of a molten iron stream at a blast furnace taphole, the video acquisition unit is used for carrying out analog-to-digital conversion, storage and compression on the high frame rate video stream information so as to obtain a compressed video stream, the video preprocessing unit is used for decomposing the compressed video stream into frame image groups in a time sequence and extracting the extremely high light characteristics of the frame images in the frame image groups, the extremely high light characteristic displacement field calculation unit is used for obtaining a sub-pixel level displacement field, the flow velocity of acquiring the molten iron flow has solved the current not high technical problem of velocity of flow detection precision to the molten iron flow that has high temperature, high speed, highlight, provides the real-time detection device who detects the molten iron flow velocity of ultra-high temperature, high speed, highlight under abominable detection environment, the device simple to operate, easy operation is nimble, and can adapt to the environment under the more abominable, and the detection object range of application is wide. The device greatly improves the operating efficiency on processing a large amount of image data by adopting a hardware platform of parallel calculation of the FPGA and the DSP chips, and meets the real-time property of detecting the flow rate of the high-temperature high-speed high-gloss molten iron.

Drawings

Fig. 1 is a schematic general flow chart of a molten iron flow rate detecting apparatus based on polarization characteristics according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of a structure and a site of a molten iron flow velocity detection apparatus based on polarization characteristics according to an embodiment of the present invention;

FIG. 3 is a schematic data flow diagram according to a second embodiment of the present invention;

FIG. 4 is a block diagram of an FPGA hardware platform according to a second embodiment of the present invention;

fig. 5 is a block diagram of a processing flow of a molten iron flow rate detection unit according to a second embodiment of the present invention;

FIG. 6 is a block diagram of a multi-DSP hardware platform according to a second embodiment of the present invention;

reference numerals:

10. a high speed camera video capture unit; 20. a video acquisition unit; 30. a video pre-processing unit; 40. an extremely high light characteristic displacement field calculation unit; 50. a molten iron flow velocity detection unit; 101. a high-speed camera lens; 102. a lens dust-proof cleaning module; 103. a high-speed camera air-cooled module; 201. an A/D analog-to-digital conversion module; 202. a video memory module; 203. a video compression module; 301. a video stream decomposition module; 302. an interested molten iron flow region extraction module; 303. a B channel decomposition module; 304. an extremely high light feature extraction module; 401. an extremely high light feature matching module; 402. a correlation intensity map calculation module; 403. a sub-pixel level displacement field extraction module; 501. a high-precision displacement field module; 502. a camera calibration module; 503. and a flow rate calculation module.

Detailed Description

In order to facilitate an understanding of the invention, the invention will be described more fully and in detail below with reference to the accompanying drawings and preferred embodiments, but the scope of the invention is not limited to the specific embodiments below.

The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.