WO2018117537A2

WO2018117537A2 - Apparatus for measuring particle size and dryness/wetness of raw material being transferred, and apparatus for measuring particle size of mixed raw material

Info

Publication number: WO2018117537A2
Application number: PCT/KR2017/014793
Authority: WO
Inventors: 최상우; 배호문; 황원호; 김관태; 박영도; 김영현; 최태화; 박지성
Original assignee: 주식회사 포스코
Priority date: 2016-12-22
Filing date: 2017-12-15
Publication date: 2018-06-28
Also published as: WO2018117537A3

Abstract

An apparatus for measuring the particle size and dryness/wetness of a raw material according to one embodiment of the present invention may comprise: a visible-light illumination unit for irradiating visible light to a raw material being transferred; an infrared illumination unit for irradiating infrared light to the raw material; a camera for acquiring an image of the raw material irradiated with visible light and infrared light, in a direction different from the irradiation direction of the visible-light illumination unit; and an image processing unit for generating particle size information and dryness/wetness information of the raw material by analyzing the acquired image.

Description

Particle size and wet and dryness measuring device of conveyed raw material and particle size measuring device of mixed raw material

The present invention relates to an apparatus for measuring particle size and wet and dry of a raw material to be conveyed and an apparatus for measuring particle size of a mixed raw material.

In general, the operating conditions of the process can be influenced by the particle size and wetness of the raw materials fed to the process.

For example, the temperature of the blast furnace hearth needs to be higher as the particle size of raw materials such as coke, sintered ore, grain or pellets, or the like becomes wet.

If the operating conditions are not set on the raw material's particle size and wet and dry, the blast furnace route can lead to bad aging or unnecessary waste of energy.

One embodiment of the present invention provides a particle size and wet and dry measuring device and a particle size measuring device of the mixed raw material.

Particle size and wet and dry measuring device according to an embodiment of the present invention, visible light illumination for irradiating visible light to the raw material to be transferred; Infrared illumination for irradiating infrared rays to the raw material; A camera which acquires an image of the raw material to which the visible light and the infrared light are irradiated in a direction different from the irradiation direction of the visible light illumination; And an image processor configured to analyze the image to generate particle size information and wet and dry information of the raw material. It may include.

In the particle size measuring apparatus of the mixed raw material according to an embodiment of the present invention, visible light for irradiating visible light to the first type of the first raw material and the second type of the second raw material are mixed and transported for each unit region on the belt conveyor light; A camera which acquires an image of a unit area to which the visible light is irradiated in a direction different from the irradiation direction of the visible light illumination; And first granularity information of a first pixel set having a particle size within a first reference range among a plurality of pixel sets having brightness lower than a reference brightness in the image and a particle size within a second reference range among the plurality of pixel sets. An image processor configured to generate second granularity information of a second pixel set to generate granularity information of the first and second raw materials for each unit area; It may include.

According to one embodiment of the present invention, the particle size and wet and dry state of the raw material to be transferred can be measured quickly and simply. Accordingly, the particle size and the wet and dry state of the raw material can be quickly and accurately reflected in the operating conditions of the process of adding the raw material to be transferred.

According to one embodiment of the present invention, the particle size of each mixed raw material can be measured quickly and simply. Accordingly, the particle size information of the mixed raw materials can be quickly and accurately reflected in the operating conditions of the process of adding the mixed raw materials.

1 is a view showing a particle size and wet and dry measuring apparatus according to an embodiment of the present invention.

2 is a view showing an integrated module in which visible light illumination, second visible light illumination, infrared light illumination, and a camera are integrated.

3 is a diagram illustrating an image acquired by the camera.

4 is a view showing a particle size and wet and dry measuring apparatus and the particle size measuring apparatus according to an embodiment of the present invention.

5 is a diagram illustrating the position and width of visible light illumination.

FIG. 6 is a diagram illustrating an image of a unit region in which an example of the first raw material (sintered light) and / or an example of the second raw material (granulated light, pellet) is disposed.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, embodiments of the present invention may be modified in various other forms, and the scope of the present invention is not limited to the embodiments described below. Shapes and sizes of the elements in the drawings may be exaggerated for clarity, elements denoted by the same reference numerals in the drawings are the same elements.

Referring to FIG. 1, the particle size and wet and dry measuring device according to an embodiment of the present disclosure may include a visible light 110, a second visible light 115, an infrared light 120, a camera 130, and an image processor. 140 may be included.

For example, the raw material 10 may be at least one of coke, sintered ore, grain ore, and pellets, and may be transported by the belt conveyor 20. FIG. 1 shows the transport direction of the raw material 10 as a reference.

Visible light illumination 110 may irradiate visible light to the raw material 10 to be transferred.

The second visible light illumination 115 may irradiate the visible light to the raw material 10 in a direction different from the irradiation direction of the visible light illumination 110.

For example, the visible light illumination 110 and the second visible light illumination 115 may be implemented as a bar-type illumination to irradiate the visible light evenly over the full width of the belt conveyor (20).

The infrared light 120 may irradiate the raw material 10 with infrared light. The infrared rays may be absorbed by moisture contained in the raw material 10. Thus, the infrared reflection energy of the wet raw material may be less than the infrared reflection energy of the dry raw material.

If the raw material 10 is sintered or coke, the raw material 10 may most strongly absorb infrared rays having a wavelength of 1200 nm. Therefore, the infrared light 120 may irradiate infrared rays having a wavelength length close to 1200 nm, but is not limited thereto. For example, the infrared light 120 may be implemented as an LED for irradiating infrared rays having a wavelength length of about 940 nm or an Nd-YAG laser for irradiating infrared rays having a wavelength length of about 1064 nm. Meanwhile, the optimal wavelength length of the infrared light may vary depending on the type or size of the raw material 10.

The camera 130 may acquire an image of the raw material 10 to which the visible light and the infrared light are irradiated. For example, the camera 130 may photograph the raw material 10 continuously in a line scan method or take a stationary state of the raw material 10 in a strobe method so as to obtain a high quality image of the raw material 10 being transferred. have.

Here, the image acquisition direction of the camera 130 may be different from the irradiation direction of the visible light 110 and the irradiation direction of the second visible light (115). Accordingly, the shadow of the raw material 10 may appear in the image obtained by the camera 130. The shadow may clarify the boundary of the raw material 10.

For example, the camera 130 may be disposed between the visible light 110 and the second visible light 115. That is, when viewed in the image acquisition direction of the camera 130, the visible light 110 and the second visible light 115 may be disposed in one region and the other region, respectively. Accordingly, one side shadow of the raw material 10 by the visible light illumination 110 and the other side shadow of the raw material 10 by the second visible light illumination 115 appear in the image obtained by the camera 130. Can be. Accordingly, the shape of the raw material 10 may be clearly expressed in the image acquired by the camera 130.

Meanwhile, the visible light 110, the second visible light 115, the infrared light 120, and the camera 130 may be implemented as an integrated module as shown in FIG. 2. The integrated module may prevent the arrangement relationship between the visible light 110, the second visible light 115, the infrared light 120, and the camera 130 from being affected by an external physical shock. Deterioration of light emission quality and light reception quality can be prevented.

The distance to the raw material 10 of the camera 130 (for example, 1 m or more) is the distance to the raw material 10 of the visible light 110 and the raw material 10 of the second visible light 115. Can be longer than the distance to. Accordingly, the luminous energy required to form the shadow on the raw material 10 may be reduced, and noise generated due to scattering of light or an external environment during the image acquisition process may be reduced.

According to the design, the integration module may further include a gas radiator (not shown) for injecting clean gas to remove dust between the camera 130 and the belt conveyor 20. The gas radiating unit may radiate clean gas from one side of the lower side of the camera 130 to the other side, and the integrated module may have a sealed case so that dust removed according to the clean gas is not absorbed by the camera 130. . That is, the case is disposed to surround the lens of the camera 130 to be disposed to surround all of the camera 130, visible light 110, second visible light 115, infrared light 120. Can be.

The image processor 140 may generate the granularity information and the wet and dry information of the raw material 10 by analyzing the image acquired by the camera 130. Here, the image processor 140 may generate particle size information of the raw material 10 by analyzing the size of the shape of the shadow of the image.

In addition, the image processor 140 may generate the wet and dry information of the raw material 10 by analyzing the brightness of the shape of the shadow of the image. The infrared rays reflected from the raw material 10 may be photographed by the camera 130 unlike the naked eye.

Therefore, as shown in FIG. 3, the infrared ray reflected from the raw material 10 may be reflected in the image analyzed by the image processor 140. Since the infrared reflection energy of the wet raw material is smaller than the infrared reflection energy of the dry raw material, the image processing unit 140 may determine that the raw material 10 is wet as the shadow of the image is darker.

For example, the image processor 140 sets a set of pixels having a brightness lower than a reference brightness in the image as a boundary of the raw material, and provides the granularity information corresponding to the size of the shape formed by the boundary. And the wet and dry information corresponding to the brightness of the shape formed by the boundary.

In general, the raw material 10 may be transferred immediately before being supplied to the process, and the particle size and the wet and dry of the raw material may be changed by factors such as environment during the transfer process. The particle size and wet and dry measuring device according to an embodiment of the present invention may quickly measure the particle size and wet and dry of the raw material 10 immediately before the raw material 10 is put into operation, and measure the result of the measurement in operation conditions in real time. Can reflect. Accordingly, the operating conditions may reflect the precise particle size and wet and dry information of the raw material 10.

For example, a process in which the raw material 10 is supplied is operated at a high temperature when the raw material 10 is in a relatively wet state or the particle size of the raw material 10 is large, and the raw material 10 is in a relatively dry state or the raw material (10). ) Can operate at low temperatures when the particle size is small.

Referring to FIG. 4, the belt conveyor 20 may include first, second and

third unit areas

21, 22, and 23.

While the belt conveyor 20 is in operation, a portion of the raw material 10 may be disposed in the first unit area 21 at a first point in time, and another portion of the raw material 10 may be placed in a second unit area at a second point in time. And the remainder of the raw material 10 may be disposed in the third unit area 23 at the third time point. The raw material 10 may be introduced onto the belt conveyor 20 in a state of being contained in a bin, and the first, second and third time points may correspond to the time when the gate of the bin is opened or closed. have.

Here, the first, second and

third unit areas

21, 22, and 23 may pass through the photographing areas of the camera 130 at different points in time, and the image processor 140 may capture the photographing points of the camera 130. The captured image of the front view may correspond to the first unit area 21, and the captured image of the rear view of the camera 130 may correspond to the third unit area 23.

For example, the image processing unit 140 may include time information and distance information of a part of the raw material 10 disposed on the belt conveyor 20, and transfer speed information of the belt conveyor 20 (for example, an encoder installed on a wheel of the belt conveyor). The first photographing view information on the first unit area 21 of the camera 130 may be calculated based on the view value). The image processor 140 may precisely control the photographing of the camera 130 based on the first photographing viewpoint information.

In addition, at least some of the first, second, and

third unit regions

21, 22, and 23 may include a first raw material of a first type (for example, sintered ore and coke) and a second type (for example, ore, pellet, and briquette). Etc.) may be disposed together. For example, the first and second raw materials are simultaneously placed in one unit area in a state in which they are arranged in different relays, or one relay according to a blockage of a sieve used in the classification process of the first and second raw materials. It can be put into one unit area while being placed together in a bath.

When the general particle size of the first raw material and the general particle size of the second raw material are significantly different, the image processor 140 first identifies the first raw material and the second raw material from the image, and then the first particle size information and the first raw material of the first raw material. Second particle size information of each of the two raw materials can be generated. Accordingly, the image processor 140 may more efficiently generate particle size information of the first and second raw materials mixed in the unit area.

For example, the image processor 140 may have a lower brightness than the reference brightness in an image acquired by the camera 130 at the first photographing time, and may have a predetermined shape (eg, a circle, a semicircle, an ellipse, a polygon, a wedge, etc.). The branch may extract a plurality of pixel sets (or boundaries). Thereafter, the image processor 140 generates information on the approximate particle size of each of the plurality of pixel sets, and the first reference range (eg, 12.5 mm) based on the general particle size (eg, 12.5 mm) of the first raw material, respectively. 10 mm to 15 mm) and within the second reference range based on the general particle size of the second raw material. Subsequently, the image processor 140 may include first granularity information of a first pixel set having a particle size within a first reference range among the plurality of pixel sets and a particle size within a second reference range among the plurality of pixel sets. By generating the second particle size information of the two pixel sets, the particle size information of the first and second raw materials may be generated, respectively.

According to the design, the image processor 140 generates first wet and dry information corresponding to the brightness of the shape formed by the first pixel set and second wet and dry information corresponding to the brightness of the shape formed by the second pixel set. Wet and dry information of the first and second raw materials may be generated, respectively. Accordingly, the image processor 140 may more efficiently generate the wet and dry information of the first and second raw materials mixed in the unit area.

Meanwhile, referring to FIG. 4, the basis weight information acquisition unit 30 may acquire basis weight information of the first and second raw materials for each of the first, second, and

third unit areas

21, 22, and 23.

For example, the basis weight information acquisition unit 30 measures the weight of the first bin containing the first raw material and the weight of the second bin containing the second raw material, respectively, and generates basis weight information based on the measurement result. Alternatively, standard information of the first raw material and standard information of the second raw material may be received, and basis weight information may be extracted from the standard information.

The image processor 140 may receive basis weight information from the basis weight information obtaining unit 30 and generate comprehensive granularity information including first and second granularity information based on the basis weight information.

According to the basis weight information, the comprehensive particle size information may have a higher correlation with the optimum operating conditions of the target process of the input of the raw material 10. Therefore, the input target process can further optimize the operating conditions using the comprehensive particle size information.

For example, the comprehensive particle size degree may include at least two of basis weight weighted average particle size, basis weight weighted particle size dispersion, and basis weight weighted particle size skewness.

The basis weight weighted average particle size may be expressed by Equation 1 below. Where i is the order of the raw materials, w is the basis weight of the raw materials, and x is the particle size of the raw materials.

The basis weight weighted particle size dispersion may be expressed by Equation 2 below. Where s is the standard deviation and v is the variance.

The basis weight weighted particle size skewness may be expressed by Equation 3 below.

Meanwhile, the image processor 140 replaces the granularities of Equations 1, 2, and 3 with wet and dry parameters (eg, dryness and humidity), thereby replacing the first and second basis weight information with the first and second basis weights, respectively. 2 may be applied to wet and dry information to generate comprehensive wet and dry information of the first and second raw materials. According to the basis weight information, the comprehensive wet and dry information may have a higher correlation with the optimum operating conditions of the target process of the input of the raw material 10. Thus, the input target process can further optimize the operating conditions using the comprehensive wet and dry information.

On the other hand, one of the visible light illumination 110 and the second visible light illumination 115 irradiates the visible light with a diagonal line toward the conveying direction of the raw material 10 from the top, the other is the transfer of the raw material 10 from the top Visible light can be irradiated with an oblique line facing the opposite direction.

Referring to FIG. 5, the visible light illumination 110a and the second visible light illumination may have a width (l = s + w + s) longer than the width w of the transport path of the raw material 10. As a result, the visible light illumination 110a and the second visible light illumination may irradiate the visible light uniformly from the center to the edge of the raw material 10, and thus the image analyzer may balance the particle size information with respect to the entire acquired image. Wet and dry information can be extracted.

Referring to FIG. 6, an example of the first raw material (sintered light) and an example of the second raw material (sintered light) may be disposed in the first unit region, and only one example of the first raw material (sintered light) may be disposed in the second unit region. An example of the first raw material (sintered ore) and an example of the second raw material (pellet) may be disposed in the third unit region. Here, the pellet may be replaced with a briquette formed by molding the powder in a form of a block.

The general particle size of the sintered ore may be larger than that of the grained light, and the general particle size of the grained light may be larger than that of the pellets. Therefore, the image processor may determine that the raw material disposed in the second unit area has the largest particle size and the raw material disposed in the third unit area has the smallest particle size.

The present invention is not limited by the above-described embodiment and the accompanying drawings. It is intended to limit the scope of the claims by the appended claims, and that various forms of substitution, modification and change can be made without departing from the spirit of the present invention as set forth in the claims to those skilled in the art. Will be self explanatory.

Claims

Visible light illumination for irradiating visible light to the transported raw material;

Infrared illumination for irradiating infrared rays to the raw material;

A camera which acquires an image of the raw material to which the visible light and the infrared light are irradiated in a direction different from the irradiation direction of the visible light illumination; And

An image processor configured to analyze the image to generate particle size information and wet and dry information of the raw material; Particle size and wet and dry measuring device comprising a.
The method of claim 1,

Further comprising a second visible light illumination for irradiating visible light to the raw material in a direction different from the irradiation direction of the visible light illumination,

The irradiation direction of the second visible light illumination is a particle size and wet and dry measuring device different from the image acquisition direction of the camera.
The method of claim 2,

The visible light illumination and the second visible light illumination are disposed in one region and the other region, respectively, when viewed in the image acquisition direction of the camera.
The method of claim 2,

One of the visible light illumination and the second visible light illumination is irradiated with a diagonal line facing the conveying direction of the raw material at the upper end, the other is irradiated with a diagonal line facing the opposite direction of the conveying direction of the raw material at the upper end,

The visible light and the second visible light is a particle size and wet and dry measuring device having a width longer than the width of the feed path of the raw material.
The method of claim 2,

Particle size and wet and dry measurement apparatus further comprises an integration module for integrating the visible light illumination, the second visible light illumination, infrared illumination and the camera.
The method of claim 1,

A particle size and a wet and dry measuring device of which the distance to the raw material of the camera is longer than the distance to the raw material of the visible light illumination.
The method of claim 1,

The image processing unit sets a set of pixels having brightness lower than a reference brightness in the image as the boundary of the raw material, generates the granularity information corresponding to the size of the shape formed by the boundary, and forms the boundary. Particle size and wet and dry measuring device for generating the wet and dry information corresponding to the brightness of the shape.
The method of claim 1,

The raw material comprises a first type of first raw material and a second type of second raw material,

The image processing unit may include first granularity information of a first pixel set having a particle size within a first reference range among a plurality of pixel sets having a brightness lower than a reference brightness in the image and within a second reference range among the plurality of pixel sets. A particle size and wet and dry measurement apparatus generating second particle size information of a second pixel set having a particle size to generate particle size information of the first and second raw materials.
The method of claim 8,

The image processor generates first wet and dry information corresponding to the brightness of the shape formed by the first pixel set and second wet and dry information corresponding to the brightness of the shape formed by the second pixel set, thereby generating the first and second raw materials. Particle size and wet and dry measurement device for generating wet and dry information.
The method of claim 8,

The image processor receives first basis weight information of the first raw material and second basis weight information of the second raw material, and applies the first and second basis weight information to the first and second granularity information, respectively. To generate comprehensive particle size information of the first and second raw materials.
The method of claim 10,

The first and second raw materials are mixed and conveyed for each unit area on a belt conveyor,

The image processor is configured to receive basis weight information of the first and second raw materials for each unit region and to apply basis weight information of the first and second raw materials to the first and second particle size information. A particle size and wet and dry measurement device for generating comprehensive particle size information of the first and second raw materials.
The method of claim 10,

The representative particle size information includes at least two of the basis weight weighted average particle size, basis weight weighted particle size dispersion and basis weight weighted particle size skewness (skewness).
The method of claim 10,

The image processor generates first wet and dry information corresponding to the brightness of the shape formed by the first pixel set and second wet and dry information corresponding to the brightness of the shape formed by the second pixel set, thereby generating the first and second raw materials. Particle size and wetness measurement apparatus for generating wet and dry information, and generating the comprehensive wet and dry information of the first and second raw material by applying the first and second basis weight information to the first and second wet and dry information, respectively.
Visible light illumination for irradiating visible light to the first kind of first raw material and the second kind of second raw material, which are mixed and transported for each unit area on the belt conveyor;

A camera which acquires an image of a unit area to which the visible light is irradiated in a direction different from the irradiation direction of the visible light illumination; And

First granularity information of a first pixel set having a particle size within a first reference range among a plurality of pixel sets having a brightness lower than a reference brightness in the image and a second particle having a particle size within a second reference range among the plurality of pixel sets; An image processor configured to generate second granularity information of two pixel sets to generate granularity information of the first and second raw materials for each unit area; Particle size measuring device of the mixed raw material comprising a.
The method of claim 14,

The image processor is configured to receive basis weight information of the first and second raw materials for each unit region and to apply basis weight information of the first and second raw materials to the first and second particle size information. An apparatus for measuring particle size of mixed raw materials, which generates comprehensive particle size information of first and second raw materials.