Sintered ore strength prediction method and system based on tail section visible light imaging

Abstract

The invention discloses a sintering ore strength prediction method and system based on tail section visible light imaging. The sintering ore strength prediction method comprises the following steps: obtaining an actual effective tail sintering section visible light image of a trolley of a current batch; according to the actual effective tail sintering section visible light imaging, the current sintering raw material return rate of the trolley of the current batch is obtained; the current sintering actual total ore return rate of the trolleys of the current batch is obtained; according to the difference value between the current sintering actual total ore returning rate and the current sintering raw material ore returning rate, the current sintering clinker ore returning rate is determined; the lower the strength of the current sintered ore is predicted according to the current sintered clinker ore return rate, and the higher the current sintered clinker ore return rate is, the lower the strength of the current sintered ore is. According to the sintering ore strength prediction method based on tail section visible light imaging, the current sintering clinker ore return rate of the trolley of the current batch is rapidly obtained, and the lower the strength of the current sintering ore is predicted according to the current sintering clinker ore return rate.

Description

Technical Field

[0001] The invention relates to the technical field of sintering, and in particular to a method and system for predicting the strength of sintered ore based on visible light imaging of a tail section of a machine. Background Art

[0002] With the rapid development of modern industry, the scale of steel production is getting larger and larger, and energy consumption is also increasing. Energy conservation and environmental protection indicators are becoming more and more important factors to consider in the steel production process. In steel production, iron-containing raw ore needs to be processed by the sintering system before entering the blast furnace for smelting. That is, various powdered iron-containing raw materials are mixed with appropriate amounts of fuel (coal powder, coke powder) and flux, and appropriate amounts of water. After mixing and balling, they are placed on the sintering trolley for roasting, so that a series of physical and chemical changes occur, forming sintered ore that is easy to smelt. This process is called sintering.

[0003] The sintering process includes ignition sintering, crushing, cooling with an annular cooler, and screening. The screened material after screening is the sintered finished ore, and the screened material after screening is the sintered return ore. In the prior art, the sintering return rate is obtained by weighing the screened material and the screened material, and the screened material is further processed to separate the screened material into raw material screened material and clinker screened material, and the clinker return rate is obtained by weighing, and finally the sintered ore strength is evaluated based on the clinker return rate. In the prior art, it is difficult to quickly predict the sintered ore strength.

[0004] In view of this, it is necessary to propose a sintered ore strength prediction method and system based on visible light imaging of the tail section to alleviate the above defects. Summary of the invention

[0005] The present invention provides a sintered ore strength prediction method and system based on visible light imaging of a tail section, which solves the existing technical problem of difficulty in online prediction of sintered ore strength.

[0006] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0007] A method for predicting the strength of sintered ore based on visible light imaging of the tail section, comprising the following steps: S10, obtaining the actual effective tail section visible light imaging of the sintered ore of the current batch of trolleys, wherein the actual effective tail section visible light imaging and the real section image of the current batch of trolleys have a known correlation ratio; S20, obtaining the current sintering raw material return rate of the current batch of trolleys according to the actual effective tail section visible light imaging; S30, obtaining the current sintering actual total return rate of the current batch of trolleys; S40, determining the current sintering clinker return rate according to the difference between the current sintering actual total return rate and the current sintering raw material return rate; S50, predicting the strength of the current sintered ore according to the current sintering clinker return rate, the lower the current sintered ore strength is, the greater the current sintering clinker return rate is, the lower the current sintered ore strength is.

[0008] Further, step S20 specifically includes: the visible light imaging of the actual effective tail sintering section has a visible light imaging black area and a visible light imaging bright area, the visible light imaging black area includes a visible light base material layer and a visible light sintering area, the visible light imaging bright area is on the visible light sintering area, the visible light imaging base material layer corresponds to the real base material layer of the real cross-sectional image, the visible light sintering area corresponds to the real sintering cross-sectional area of ​​the real cross-sectional image, the visible light imaging bright area corresponds to the real sintering critical area of ​​the real cross-sectional image, and the real sintering critical area is on the real sintering cross-sectional area; determine the real The sintering material corresponding to the sintering critical area and the actual base material layer is the current sintering raw material area. The current raw material area ratio of the current sintering raw material area is calculated according to the area ratio of the current sintering raw material area and the actual sintering cross-sectional area. The current raw material area ratio and the current sintering operating condition parameters are input into the return ore prediction model to predict the current sintering raw material return rate of the current batch of trolleys. Among them, the historical sintering raw material area ratio and the historical sintering operating condition parameters are used as the training input set, and the historical machine tail raw material return rate is used as the training output set to establish the return ore prediction model through neural network learning.

[0009] Furthermore, the ideal sintering visible light imaging of the current batch of trolleys is obtained, and the ideal sintering visible light imaging includes a theoretical paving layer, and the theoretical paving layer corresponds to the real base material layer; the ideal sintering visible light imaging and the actual effective tail sintering section visible light imaging are integrated, and the visible light imaging base material interval is determined according to the theoretical paving layer.

[0010] Furthermore, the method also includes the following steps: the historical sintering condition parameters include historical sintering air volume parameters, historical trolley speed parameters and historical sintering material layer thickness parameters.

[0011] Furthermore, the step is also included: before step S50, if the current sintering raw material return rate is greater than the current actual total sintering return rate, the actual effective tail sintering section visible light imaging of the previous batch of trolleys is updated to the actual effective tail sintering section visible light imaging of the current batch of trolleys.

[0012] Furthermore, step S10 specifically includes: obtaining the initial actual sintering cross-section visible light imaging image of each target sintering trolley corresponding to the current batch of trolleys; filtering out the distorted initial actual sintering cross-section visible light imaging image; performing image processing on the initial actual sintering cross-section visible light imaging image after filtering out the distortion; performing secondary processing on the initial actual sintering cross-section visible light imaging image after image processing by overlapping and averaging, and obtaining the actual effective tail sintering cross-section visible light imaging of the current batch of trolleys.

[0013] Furthermore, step S30 specifically includes: obtaining the actual total sintering return rate of the current batch of trolleys according to the weighed mass of the sintered material above the screen and the mass of the sintered material below the screen of the current batch of trolleys.

[0014] The present invention also provides a sintering return rate prediction system based on visible light imaging of the tail section of the sintering machine, comprising a sintering machine, a sintering trolley, a visible light imaging acquisition device and a processing device. The sintering trolley is movably arranged along the sintering machine head wheel toward the sintering machine tail wheel. The sintering machine is provided with a distribution area, an ignition furnace area and a holding furnace area in sequence at one end close to the sintering machine head wheel of the sintering machine; the visible light imaging acquisition device is arranged on the outer side of the sintering machine tail wheel of the sintering machine, and the visible light imaging acquisition device is used to obtain the actual effective tail sintering section visible light imaging of the current batch of sintering trolleys; the processing device is used to execute the steps of the above-mentioned sintered ore strength prediction method based on visible light imaging of the tail section of the sintering machine.

[0015] The present invention has the following beneficial effects:

[0016] The sintered ore strength prediction method and system based on tail section visible light imaging provided by the present invention are based on the research on sintering technology, and timely obtain the actual effective tail section visible light imaging of the sintering machine from the tail wheel position of the sintering machine. The actual effective tail section visible light imaging of the sintering machine has a known correlation ratio with the real cross-sectional image of the current batch of trolleys. The current sintering raw material return rate of the current batch of trolleys is obtained based on the actual effective tail section visible light imaging, and the current sintering actual total return rate of the current batch of trolleys is obtained according to the weighing result. The current sintering clinker return rate is determined based on the difference between the current actual total return rate and the current sintering raw material return rate, and finally the current sintering clinker return rate of the current batch of trolleys is quickly obtained, thereby facilitating the prediction of the current sintered ore strength according to the current sintering clinker return rate.

[0017] In addition to the above-described purposes, features and advantages, the present invention has other purposes, features and advantages. The present invention will be further described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of this application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 It is the process flow chart of the existing sintering system;

[0020] Figure 2 This is a schematic diagram of the existing sinter formation, where: Figure 2 a is the existing sinter formation process diagram, Figure 2 b is the existing sinter formation cross-section diagram, Figure 2 c is the completed cross-section of the existing sintered ore;

[0021] Figure 3It is a flow chart of the sinter strength prediction method based on visible light imaging of the tail section of the present invention;

[0022] Figure 4 A schematic diagram of visible light imaging of an actual effective tail sintering section in one embodiment of the present invention;

[0023] Figure 5 A partial structural schematic diagram of a sintering return rate prediction system based on visible light imaging of a tail section of the present invention. DETAILED DESCRIPTION

[0024] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0027] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0028] The sintering system mainly includes sintering trolley, mixer, main exhaust fan, ring cooler and other equipment. Figure 1As shown: various raw materials are proportioned in the batching room to form a mixture. After the mixture enters the mixer for mixing and balling, it is evenly spread on the sintering trolley through the round roller feeder and the nine-roller distributor to form a sintering mixture layer. The ignition fan and the ignition fan start the ignition furnace, and the sintering mixture on the top layer of the sintering trolley is ignited in the ignition furnace. The ignited combustion zone begins to move from top to bottom, and the mixture passing through the combustion zone is roasted into sintered ore. This is the sintering process. The sintered ore obtained after sintering is crushed by a single roller crusher and then cooled in a ring cooler. Finally, it is sent to the blast furnace or the finished ore bin after screening and whole grains. Among them, the screened undersize includes raw material undersize and clinker undersize. The raw material undersize and clinker undersize are transported on the return ore belt. The materials are all small black-brown particles or powdery materials. The existing technology is difficult to distinguish the proportion of clinker return ore and raw material return ore.

[0029] Please refer to Figure 2 ( Figure 2 a. Figure 2 b and Figure 2 c) During the sintering process, the ignited combustion zone moves from top to bottom, and the moving speed of the combustion zone is the vertical sintering speed; the sintering trolley moves from the head to the tail (sintering machine tail wheel) of the sintering machine, and the moving speed of the sintering trolley is the sintering machine speed; when the combustion zone moves to the bottom of the sintering trolley mixture, the corresponding position of the sintering trolley relative to the sintering machine head (or sintering machine tail wheel) is the sintering end point. Figure 2 As shown in a, with the movement of the sintering trolley, the combustion zone gradually moves downward, and the mixed material passing through the combustion zone is roasted into sintered ore; Figure 2 As shown in b, during the sintering process, the materials in the sintering trolley can be divided into a bottom material layer, a mixed material layer, a combustion zone layer, and a sintered ore layer from bottom to top. Figure 2 As shown in c, when the combustion zone moves to the bed material layer, the materials in the sintering trolley have all been roasted into sintered ore. At this time, the corresponding position is the sintering end position, which is generally represented by the bellows number. Optionally, the combustion zone layer has a certain thickness, and the sintering end position can be understood as the bottom of the combustion zone just touching the bed material layer. When the sintering end position is controlled at the second to last bellows or the first to last bellows, no raw meal will be produced, the fuel utilization rate is high, and the sintering efficiency is high. Optionally, if the bottom of the combustion zone does not touch the bed material layer when reaching the first to last bellows, raw meal is produced between the bottom of the combustion zone and the bed material layer.

[0030] Please refer to Figure 1 and Figure 2Through the study of sintering technology, it is found that the formation process of sintered ore is the process of the sintering combustion zone gradually moving downward. The combustion temperature of the sintering combustion zone is 1250℃ (sintering material temperature). The sintering mixture is mixed with various components such as fuel, flux, iron ore, etc. After the sintering material surface is ignited at the ignition furnace at the head of the sintering machine, a combustion zone with a thickness of about 20 to 30mm is formed. The various mixed materials in the combustion zone are roasted at high temperature to form sintered ore. After the combustion zone gradually moves down to the bottom of the sintering trolley to lay the bottom material layer, the combustion zone will no longer move down, and the fuel in the combustion zone has been burned. Among them, during the gradual downward movement of the combustion zone, the sintering machine trolley is also moving towards the direction of the sintering machine tail wheel, and the sintering machine trolley moves to the tail of the sintering machine. Sintering return ore (total sintering return ore) includes raw return ore (raw underscreen) and clinker return ore (clinker underscreen). Raw return ore means that part of the mixed material on the sintering trolley has not entered the sintering process, and the mixed material has not been roasted into sintered ore. It will become powder in the sintering cooling process. Most of these powder materials will be screened out in the screening process (for example, the particle size is <3mm), which is raw return ore; clinker return ore means that some sintered ore is broken into powder due to friction, falling in the feeding process and other factors in the process from the sintering machine to the screening process, and will also be screened out in the screening process. Among them, the main reason for the formation of raw return ore is that the mixed material has not completed the sintering process, and the main reason for the formation of clinker return ore is that the strength of the sintered ore is not enough. To control the raw return ore and the clinker return ore, different means are used in sintering production.

[0031] Please refer to Figure 3 , Figure 4 and Figure 5 The present invention provides a sintered ore strength prediction method based on tail section visible light imaging, comprising the following steps: S10, obtaining an actual effective tail section visible light imaging of the sintered ore of the current batch of trolleys, wherein the actual effective tail section visible light imaging of the sintered ore has a known correlation ratio with the real cross-sectional image of the current batch of trolleys; S20, obtaining the current sintered raw material return rate of the current batch of trolleys according to the actual effective tail section visible light imaging; S30, obtaining the current actual total sintering return rate of the current batch of trolleys; S40, determining the current sintered clinker return rate according to the difference between the current actual total sintering return rate and the current sintered raw material return rate; S50, predicting the strength of the current sintered ore according to the current sintered clinker return rate, the lower the current sintered ore strength is, the greater the current sintered clinker return rate is, the lower the current sintered ore strength is.

[0032] The method for predicting the strength of sintered ore based on visible light imaging of the tail section provided by the present invention is based on research on sintering technology. By timely acquiring the actual effective visible light imaging of the tail section of the sintering machine from the position of the tail wheel of the sintering machine, the actual effective visible light imaging of the tail section of the sintering machine has a known correlation ratio with the real cross-sectional image of the current batch of trolleys. The current sintering raw material return rate of the current batch of trolleys is acquired based on the actual effective visible light imaging of the tail section of the sintering machine. The current actual total sintering return rate of the current batch of trolleys is acquired according to the weighing result. The current sintering clinker return rate is determined based on the difference between the current actual total sintering return rate and the current sintering raw material return rate. Finally, the current sintering clinker return rate of the current batch of trolleys is quickly acquired. This facilitates predicting the strength of the current sintered ore based on the current sintering clinker return rate.

[0033] It can be understood that the lower the strength of the current sintered ore predicted based on the current sintering clinker return rate, the greater the current sintering clinker return rate, the lower the strength of the current sintered ore, and the smaller the current sintering clinker return rate, the higher the strength of the current sintered ore; the sintered ore strength prediction method based on visible light imaging of the tail section provided by the present invention obtains the sintering return rate in real time, avoiding the existing need to further process the undersize material, divide the undersize material into raw material undersize and clinker undersize, weigh them, and then obtain the clinker return rate to evaluate the sintered ore strength, and there is a technical problem that the sintered ore strength cannot be quickly evaluated.

[0034] Further, step S20 specifically includes: the visible light imaging of the actual effective tail sintering section has a visible light imaging black area and a visible light imaging bright area, the visible light imaging black area includes a visible light base material layer and a visible light sintering area, the visible light imaging bright area is on the visible light sintering area, the visible light imaging base material layer corresponds to the real base material layer of the real cross-sectional image, the visible light sintering area corresponds to the real sintering cross-sectional area of ​​the real cross-sectional image, the visible light imaging bright area corresponds to the real sintering critical area of ​​the real cross-sectional image, and the real sintering critical area is on the real sintering cross-sectional area; Determine that the sintering material corresponding to the real sintering critical area and the real base material layer is the current sintering raw material area, and calculate the current raw material area ratio of the current sintering raw material area according to the area ratio of the current sintering raw material area and the real sintering cross-sectional area; input the current raw material area ratio and the current sintering operating condition parameters into the return ore prediction model to predict the current sintering raw material return rate of the current batch of trolleys, wherein the historical sintering raw material area ratio and the historical sintering operating condition parameters are used as the training input set, and the historical machine tail raw material return rate is used as the training output set to establish the return ore prediction model through neural network learning. By timely obtaining the visible light imaging of the actual effective tail sintering section from the position of the tail wheel of the sintering machine, the visible light imaging of the actual effective tail sintering section has a known correlation ratio with the real cross-sectional image of the current batch of trolleys, and the visible light bottom material layer, the visible light sintering area and the visible light imaging bright area are obtained through the visible light imaging technology, and finally the current sintering raw material area and the real sintering cross-sectional area of ​​the current batch of sintering trolleys are obtained, and the current raw material area ratio is obtained from the position of the tail wheel of the sintering machine, and finally the current sintering raw material return rate is obtained based on the return prediction model, the current raw material area ratio and the current sintering condition parameters. , the current raw material area ratio is obtained from the position of the tail wheel of the sintering machine, and finally the current sintering raw material return rate is obtained based on the return prediction model, the current raw material area ratio and the current sintering condition parameters. When the sintering machine passes through the tail wheel of the sintering machine, the current sintering raw material return rate can be predicted, which avoids the existing technical problem of obtaining the current sintering raw material return rate after further processing, separation and weighing through screening.

[0035] It can be understood that visible light imaging technology belongs to the prior art, and the actual effective tail sintering section is divided into a black area and a bright area under visible light technology. In the present invention, the visible light imaging black area above the visible light imaging bright area is a completely sintered ore (sintered cooling ore), and the visible light imaging black area below the visible light imaging bright area is a sintered raw material and a sintered base material, wherein the area corresponding to the sintered raw material can be finally obtained by determining the mapping relationship between the real base material layer and the actual effective tail sintering section visible light imaging. Specifically, if the actual effective tail sintering section visible light imaging is completely black, the sintering end point is before the tail section; if it is currently a completely black area, it means that the sintering end point is too far forward and the sintering area of ​​the sintering machine is not fully utilized. At this time, the gas injection amount is reduced, and the corresponding vertical combustion speed is slowed down. The sintering end point can be adjusted to move backward until a bright line appears in the tail section of the sintering machine.

[0036] In the present invention, the real sintering critical region and the real sintering cross-sectional region above the real sintering critical region are the sintering clinker region.

[0037] It is understandable that, due to the different sintering parameters of each sintering plant in a certain sintering cycle (e.g., different raw material conditions, gas conditions, equipment models and specifications), it is impossible to quantitatively give a linear relationship between the current sintering critical temperature interval and the current sintering section entire cross-sectional interval that is suitable for all sintering plants. The present invention establishes a return ore prediction model, establishes the corresponding relationship between the current raw material area ratio, the current sintering parameters, and the current sintering raw material return ore rate, and can accurately predict the current sintering raw material return ore rate of the current batch of trolleys based on the visible light imaging of the actual effective tail sintering section. It is understandable that the current batch of trolleys can be one sintering trolley or multiple sintering trolleys.

[0038] Furthermore, in order to accurately obtain the area mapped by the actual bottom material layer in the visible light imaging of the actual effective tail sintering section, and thus improve the accuracy of the prediction of the sintering return rate, the ideal sintering visible light imaging of the current batch of trolleys is obtained, and the ideal sintering visible light imaging includes a theoretical paving layer, and the theoretical paving layer corresponds to the real bottom material layer; the ideal sintering visible light imaging and the actual effective tail sintering section visible light imaging are fused, and the visible light imaging bottom material interval is determined according to the theoretical paving layer.

[0039] Understandably, please refer to Figure 4, visible light imaging technology belongs to the prior art. Analysis shows that the actual effective tail sintering section visible light imaging usually includes visible light imaging black area and visible light imaging bright area. The visible light imaging black area includes a visible light base material layer and a visible light sintering area, wherein the visible light base material layer maps the real base material layer of the current batch of trolleys, and the sintering material in the area between the visible light imaging bright area and the visible light base material layer is sintering raw material (before reaching the sintering end point, the actual combustion zone has not burned to the base material interval position), and the sintering material in the visible light imaging bright area and the sintering material above the visible light imaging bright area are sintering clinker. It can be understood that the visible light imaging bright area is the combustion area. In the present invention, the current raw material area ratio of the current sintering raw material area is calculated based on the area ratio of the current sintering raw material area and the real sintering cross-sectional area; wherein, the cross-sectional interval of the current sintering raw material area, the cross-sectional interval of the current sintering clinker, and the base material interval constitute the current sintering cross-sectional interval.

[0040] Furthermore, in order to quickly and accurately obtain the visible light base material layer, based on the research on sintering, the ideal sintering visible light imaging of the current batch of trolleys is obtained, and the ideal sintering visible light imaging includes the theoretical paving layer; the ideal sintering visible light imaging and the actual effective tail sintering section visible light imaging are integrated to determine the base material interval based on the theoretical paving layer.

[0041] Furthermore, in order to quickly and accurately obtain the current sintering raw material area, the cross-sectional area of ​​the base material of the current batch of trolleys is calculated in advance, and the area of ​​the current sintering raw material area is obtained based on the difference between the area of ​​the visible light imaging black area below the visible light imaging bright area and the cross-sectional area of ​​the base material.

[0042] Furthermore, if the current clinker area ratio is less than a preset clinker threshold, an early warning message is issued. It can be understood that the clinker threshold ranges from 75% to 95%.

[0043] Furthermore, the historical sintering operating condition parameters include historical sintering air volume parameters, historical trolley speed parameters, and historical sintering material layer thickness parameters.

[0044] Furthermore, before step S50, it also includes: if the current sintering raw material return rate is greater than the current actual total sintering return rate, the actual effective tail sintering section visible light imaging of the previous batch of trolleys is updated to the actual effective tail sintering section visible light imaging of the current batch of trolleys. In the present invention, if the current sintering raw material return rate is greater than the current actual total sintering return rate, it means that there is an error in the actual effective tail sintering section visible light imaging. At this time, the actual effective tail sintering section visible light imaging of the previous batch of trolleys is updated to the actual effective tail sintering section visible light imaging of the current batch of trolleys for correction, and the current sintering raw material return rate is estimated by the actual effective tail sintering section visible light imaging of the previous batch of trolleys.

[0045] Furthermore, in order to improve the prediction accuracy, step S10 specifically includes: obtaining the initial actual sintering cross-section visible light imaging image of each target sintering trolley corresponding to the current batch of trolleys; filtering out the distorted initial actual sintering cross-section visible light imaging image; performing image processing on the initial actual sintering cross-section visible light imaging image after filtering out the distortion; performing secondary processing on the initial actual sintering cross-section visible light imaging image after image processing by overlapping and averaging, and obtaining the actual effective tail sintering cross-section visible light imaging of the current batch of trolleys.

[0046] Furthermore, if the current clinker area ratio is less than a preset clinker threshold, an early warning message is issued. It can be understood that the clinker threshold ranges from 75% to 95%.

[0047] Furthermore, the actual sintering return ore of the current batch of trolleys is obtained according to the weighed mass of the sintered material above the screen and the mass of the sintered material below the screen of the current batch of trolleys.

[0048] The present invention also provides a sintering return rate prediction system based on visible light imaging of the tail section of the sintering machine, comprising a sintering machine, a sintering trolley, a visible light imaging acquisition device and a processing device. The sintering trolley is movably arranged along the sintering machine head wheel toward the sintering machine tail wheel. The sintering machine is provided with a distribution area, an ignition furnace area and a holding furnace area in sequence at one end close to the sintering machine head wheel of the sintering machine; the visible light imaging acquisition device is arranged on the outer side of the sintering machine tail wheel of the sintering machine, and the visible light imaging acquisition device is used to obtain the actual effective tail sintering section visible light imaging of the current batch of sintering trolleys; the processing device is used to execute the steps of the above-mentioned sintered ore strength prediction method based on visible light imaging of the tail section of the sintering machine.

[0049] It can be understood that a sensor is installed on the tail wheel of the sintering machine to track the inclination angle A of the trolley. When the inclination angle A of the trolley is reached, the visible light imaging camera takes a picture of the tail section of the sintering machine to obtain the actual effective visible light imaging of the tail sintering section. In this embodiment, the ideal visible light imaging of the sintering section at the target sintering end position is set when the trolley inclination angle A is set, and the ideal visible light imaging of the sintering trolley of the current batch is obtained. The ideal visible light imaging of sintering includes a theoretical paving layer; the ideal visible light imaging of sintering and the actual effective visible light imaging of the tail sintering section are integrated, and the bottom material interval is determined according to the theoretical paving layer. The ideal temperature distribution diagram of the ideal visible light imaging of the sintering section can be determined by theoretical calculation.

[0050] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for predicting sintered ore strength based on visible light imaging of the tail section, characterized in that: The steps include: S10, obtaining an actual effective visible light imaging of the tail sintering section of the current batch of trolleys, wherein the actual effective visible light imaging of the tail sintering section has a known correlation ratio with the real cross-sectional image of the current batch of trolleys; S20, obtaining the current sintering raw material return rate of the current batch of trolleys according to the actual effective tail sintering section visible light imaging; S30, obtaining the actual total sintering return rate of the current batch of trolleys; S40, determining the current sintering clinker return rate according to the difference between the current actual total sintering return rate and the current sintering raw material return rate; S50, predicting the strength of the current sintered ore based on the current sintered clinker return rate, the greater the current sintered clinker return rate, the lower the strength of the current sintered ore.

2. The sintered ore strength prediction method based on visible light imaging of the tail section of claim 1 is characterized in that: Step S20 specifically includes: The actual effective tail sintering section visible light imaging has a visible light imaging black area and a visible light imaging bright area, the visible light imaging black area includes a visible light base material layer and a visible light sintering area, the visible light imaging bright area is located on the visible light sintering area, the visible light imaging base material layer corresponds to the real base material layer of the real cross-sectional image, the visible light sintering area corresponds to the real sintering cross-sectional area of ​​the real cross-sectional image, the visible light imaging bright area corresponds to the real sintering critical area of ​​the real cross-sectional image, and the real sintering critical area is located on the real sintering cross-sectional area; Determine the sintering material corresponding to the real sintering critical area and the real base material layer as the current sintering raw material area, and calculate the current raw material area ratio of the current sintering raw material area according to the area ratio of the current sintering raw material area and the real sintering cross-sectional area; The current raw material area ratio and the current sintering operating condition parameters are input into the return ore prediction model to predict the current sintering raw material return rate of the current batch of trolleys, wherein the historical sintering raw material area ratio and the historical sintering operating condition parameters are used as the training input set, and the historical machine tail raw material return rate is used as the training output set to establish the return ore prediction model through neural network learning.

3. The sintered ore strength prediction method based on visible light imaging of the tail section of claim 2 is characterized in that: Obtaining an ideal sintering visible light image of the current batch of trolleys, wherein the ideal sintering visible light image includes a theoretical paving layer, and the theoretical paving layer corresponds to the actual bottom paving layer; The ideal sintering visible light imaging and the actual effective tail sintering section visible light imaging are integrated, and the visible light imaging base material paving interval is determined according to the theoretical paving layer.

4. The method for predicting sintered ore strength based on visible light imaging of tail section according to claim 2, characterized in that: Also includes the steps: The historical sintering condition parameters include historical sintering air volume parameters, historical trolley speed parameters and historical sintering material layer thickness parameters.

5. The method for predicting sintered ore strength based on visible light imaging of tail section according to claim 2, characterized in that: Also includes the steps: Before step S50, the method further includes: If the current sintering raw material return rate is greater than the current actual total sintering return rate, the actual effective tail sintering section visible light imaging of the previous batch of trolleys is updated to the actual effective tail sintering section visible light imaging of the current batch of trolleys.

6. The method for predicting sintered ore strength based on visible light imaging of the tail section of a sintering machine according to any one of claims 2 to 5, characterized in that: Step S10 specifically includes: Acquire an initial actual sintering cross-section visible light imaging image of each target sintering trolley corresponding to the current batch of trolleys; Filtering out the distorted initial actual sintered cross-section visible light imaging image; Processing the initial actual sintered cross-section visible light imaging image after filtering out distortion; The initial actual sintering section visible light imaging image after image processing is overlapped and averaged for secondary processing imaging to obtain the actual effective tail sintering section visible light imaging of the current batch of trolleys.

7. The method for predicting sintered ore strength based on visible light imaging of the tail section of a sintering machine according to any one of claims 2 to 5, characterized in that: Step S30 specifically includes: The actual total sintering return rate of the current batch of trolleys is obtained according to the weighed mass of the sintered material above the screen and the mass of the sintered material below the screen of the current batch of trolleys.

8. A sintering return rate prediction system based on visible light imaging of the tail section, characterized in that: It comprises a sintering machine, a sintering trolley, a visible light imaging acquisition device and a processing device, wherein the sintering trolley is movably arranged along the sintering machine head wheel toward the sintering machine tail wheel, and the sintering machine is provided with a material distribution area, an ignition furnace area and a heat preservation furnace area in sequence at one end close to the sintering machine head wheel; The visible light imaging acquisition device is arranged on the outer side of the sintering machine tail wheel of the sintering machine, and the visible light imaging acquisition device is used to acquire the visible light imaging of the actual effective tail sintering section of the current batch of sintering trolleys; The processing device is used to execute the steps of the sintered ore strength prediction method based on tail section visible light imaging as described in any one of claims 1 to 7.

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