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

Abstract

The invention discloses a sintering ore strength prediction method and system based on tail section thermal imaging, and the method comprises the following steps: obtaining an actual effective tail sintering section thermal imaging of a current batch trolley, the actual effective tail sintering section thermal imaging and a real section image of the current batch trolley having a known correlation ratio; according to the actual effective tail sintering section thermal 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 thermal 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 thermal imaging of a tail section. 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 tail section thermal imaging to alleviate the above defects. Summary of the invention

[0005] The present invention provides a sintered ore strength prediction method and system based on tail section thermal imaging, 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 sinter strength based on tail section thermal imaging comprises the following steps:

[0008] S10, obtain the actual effective tail sintering cross-section thermal image of the current batch of trolleys, and the actual effective tail sintering cross-section thermal image has a known correlation ratio with the real cross-sectional image of the current batch of trolleys; S20, obtain the current sintering raw material return rate of the current batch of trolleys according to the actual effective tail sintering cross-section thermal image; S30, obtain the current sintering actual total return rate of the current batch of trolleys; S40, determine 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, predict the current sintering clinker return rate according to the current sintering clinker return rate. The lower the strength of the current sintered ore, the greater the current sintering clinker return rate, and the lower the strength of the current sintered ore.

[0009] Furthermore, step S20 specifically includes: S21, obtaining the current sintering section full-section interval and the current sintering critical temperature interval of the sintering material of the current batch of trolleys according to the actual effective tail sintering section thermal imaging, the temperature range of the current sintering critical temperature interval is 600°C to 1280°C, and the current sintering critical temperature interval is located within the current sintering section full-section interval; S22, obtaining the current raw material area ratio of the current sintering raw material interval according to the ratio of the current sintering critical temperature interval and the current sintering section full-section interval; S23, inputting the current raw material area ratio and the current sintering operating parameters into the return ore prediction model to predict the current sintering return ore rate of the current batch of trolleys, wherein the historical sintering raw material area ratio and the historical sintering operating parameters are used as the training input set, and the historical tail raw material return rate is used as the training output set to establish a return ore prediction model through neural network learning.

[0010] Furthermore, the area of ​​the current sintering critical temperature interval in the entire cross-sectional interval of the current sintering section and the area above the current sintering critical temperature interval are determined as the current sintering clinker interval; the current clinker area proportion of the current sintering clinker interval is obtained according to the ratio of the current sintering clinker interval to the current sintering critical temperature interval, and the current raw material area proportion is determined according to the current clinker area proportion, and the sum of the current raw material area proportion and the current clinker area proportion is 1.

[0011] Furthermore, the bottom material interval of the current batch of trolleys is obtained based on the actual effective tail sintering section thermal imaging, and the bottom material interval is the space occupied by the actual bottom material on the bottom surface of the current batch of trolleys; the area between the current sintering critical temperature interval and the bottom material interval in the current sintering section entire section interval is determined as the current sintering raw material section interval; the current raw material area ratio is obtained based on the ratio of the current sintering raw material section interval and the current sintering section entire section interval.

[0012] Furthermore, the method also includes the steps of obtaining the highest temperature interval of the actual effective tail sintering section thermal imaging, and if the temperature range value of the highest temperature interval is not less than the preset temperature range value, determining the highest temperature interval as the current sintering critical temperature interval.

[0013] Furthermore, the step is also included: before step S50, the step also includes: if the current sintering raw material return rate is greater than the current actual total sintering return rate, the maximum vertical section height of the current sintering critical temperature range of the actual effective tail sintering section thermal imaging is obtained; if the maximum vertical section height is greater than the preset height, the actual effective tail sintering section thermal imaging of the previous batch of trolleys is updated to the actual effective tail sintering section thermal imaging of the current batch of trolleys.

[0014] Furthermore, step S10 specifically includes: obtaining the initial actual sintering cross-sectional thermal imaging image of each target sintering trolley corresponding to the current batch of trolleys; filtering out the distorted initial actual sintering cross-sectional thermal imaging image; performing image processing on the initial actual sintering cross-sectional thermal imaging image after filtering out the distortion; performing secondary processing of overlapping and averaging the initial actual sintering cross-sectional thermal imaging image after image processing to obtain the effective actual sintering cross-sectional thermal imaging of the current batch of trolleys.

[0015] 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.

[0016] The present invention also provides a sintering return rate prediction system based on machine tail section thermal imaging, comprising a sintering machine, a sintering trolley, a thermal 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, and 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; the thermal imaging acquisition device is arranged on the outer side of the sintering machine tail wheel of the sintering machine, and the thermal imaging acquisition device is used to obtain the actual effective machine tail sintering section thermal 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 machine tail section thermal imaging.

[0017] The present invention has the following beneficial effects:

[0018] The sintered ore strength prediction method and system based on tail section thermal imaging provided by the present invention are based on the research on sintering technology. The actual effective tail section thermal imaging of the sintering machine is timely obtained from the tail wheel position of the sintering machine. The actual effective tail section thermal 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 thermal imaging of the sintering machine. The current actual total sintering 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. Finally, the current sintering clinker return rate of the current batch of trolleys is quickly obtained. This makes it easier to predict the strength of the current sintered ore based on the current sintering clinker return rate.

[0019] 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

[0020] 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:

[0021] Figure 1 It is the process flow chart of the existing sintering system;

[0022] 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;

[0023] Figure 3 It is a flow chart of the sinter strength prediction method based on tail section thermal imaging of the present invention;

[0024] Figure 4 A schematic diagram of thermal imaging of an actual effective tail sintering section in one embodiment of the present invention;

[0025] Figure 5 A partial structural schematic diagram of an online sintering return rate prediction system based on machine tail section thermal imaging of the present invention. DETAILED DESCRIPTION

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] The sintering system mainly includes sintering trolley, mixer, main exhaust fan, ring cooler and other equipment. Figure 1 As 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.

[0031] 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.

[0032] 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 1350℃ (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.

[0033] Please refer to Figure 3 , Figure 4 and Figure 5 The present invention provides a sintered ore strength prediction method based on tail section thermal imaging, comprising the following steps: S10, obtaining the actual effective tail section thermal imaging of the sintered ore of the current batch of trolleys, the actual effective tail section thermal imaging of the sintered ore and the real section image of the current batch of trolleys having 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 thermal 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 current sintered ore strength 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.

[0034] The sintered ore strength prediction method based on tail section thermal imaging provided by the present invention is based on the research on sintering technology. By timely acquiring the actual effective tail section thermal imaging of the sintering machine from the tail wheel position of the sintering machine, the actual effective tail section thermal 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 acquired based on the actual effective tail section thermal imaging of the sintering machine, and the current sintering actual total 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 sintering 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 acquired. This facilitates the prediction of the current sintered ore strength based on the current sintering clinker return rate.

[0035] The strength of the current sintered ore is predicted based on the current sintering clinker return rate. The larger the current sintering clinker return rate, the lower the strength of the current sintered ore. 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 tail section thermal imaging 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 material and clinker undersize material, 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.

[0036] Furthermore, step S20 specifically includes: S21, obtaining the current sintering section full-section interval and the current sintering critical temperature interval of the sintering material of the current batch of trolleys according to the actual effective tail sintering section thermal imaging, the temperature range of the current sintering critical temperature interval is 600°C to 1280°C, and the current sintering critical temperature interval is located within the current sintering section full-section interval; S22, obtaining the current raw material area ratio of the current sintering raw material interval according to the ratio of the current sintering critical temperature interval and the current sintering section full-section interval; S23, inputting the current raw material area ratio and the current sintering operating parameters into the return ore prediction model to predict the current sintering return ore rate of the current batch of trolleys, wherein the historical sintering raw material area ratio and the historical sintering operating parameters are used as the training input set, and the historical tail raw material return rate is used as the training output set to establish a return ore prediction model through neural network learning. By timely obtaining the actual effective tail sintering section thermal image from the sintering machine tail wheel position, obtaining the current sintering section range and the current sintering critical temperature range through thermal imaging technology, it is possible to obtain the current raw material area ratio from the sintering machine tail wheel position, and finally obtain the current sintering raw material return rate based on the return ore prediction model, the current raw material area ratio and the current sintering condition parameters. When the sintering machine passes through the sintering machine tail wheel, the current sintering raw material return rate can be predicted, avoiding the existing technical problem of obtaining the current sintering raw material return rate after further processing, separation and weighing through screening.

[0037] It can be understood that thermal imaging technology belongs to the prior art, and through thermal imaging technology, the thermal imaging temperature partition interval of the actual effective tail sintering section thermal imaging can be obtained. Optionally, the temperature range value of the current sintering critical temperature interval is 600°C to 1280°C, and the current sintering critical temperature interval is the highest temperature interval within the accuracy range of thermal imaging. For example, the thermal imaging accuracy is divided into a level every 50°C, and the actual effective tail sintering section thermal imaging has an 800-850°C interval, an 850-900°C interval, a 900-950°C interval, a 950-1000°C interval, and an interval below 800°C. At this time, the 950-1000°C interval is determined to be the highest temperature interval.

[0038] 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 section 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 return ore rate, and can accurately predict the current sintering return ore rate of the current batch of trolleys based on the actual effective tail sintering section thermal imaging. It is understandable that the current batch of trolleys can be one sintering trolley or multiple sintering trolleys.

[0039] Further, the area of ​​the current sintering critical temperature interval in the entire cross-sectional interval of the current sintering section and the area above the current sintering critical temperature interval are determined as the current sintering clinker interval; the current clinker area ratio of the current sintering clinker interval is obtained according to the ratio of the current sintering clinker interval to the current sintering critical temperature interval, and the current raw material area ratio is determined according to the current clinker area ratio, and the sum of the current raw material area ratio and the current clinker area ratio is 1. Specifically, the current clinker area ratio is obtained according to the current sintering clinker interval and the current sintering critical temperature interval, and the sum of the current clinker area ratio and the current raw material area ratio is 1.

[0040] Furthermore, the bottom material interval of the current batch of trolleys is obtained based on the actual effective tail sintering section thermal imaging, and the bottom material interval is the space occupied by the actual bottom material on the bottom surface of the current batch of trolleys; the area between the current sintering critical temperature interval and the bottom material interval in the current sintering section entire section interval is determined as the current sintering raw material section interval; the current raw material area ratio is obtained based on the ratio of the current sintering raw material section interval and the current sintering section entire section interval.

[0041] Understandably, please refer to Figure 4, analysis shows that the actual effective tail sintering section thermal imaging usually includes the current sintering section interval, the base material interval and the current sintering critical temperature interval. The sintering materials in the current sintering critical temperature interval and the base material interval are sintering raw materials (the actual combustion zone has not burned to the base material interval before reaching the sintering end point), and the sintering materials in the current sintering critical temperature interval and the sintering materials above the current sintering critical temperature interval are sintering clinkers. In the present invention, the current raw material area ratio is obtained by the current sintering clinker interval and the current sintering critical temperature interval, or the current raw material area ratio is obtained by the current sintering raw material section interval and the current sintering critical temperature interval; wherein, the current sintering raw material section interval, the current sintering clinker interval and the base material interval are combined to form the current sintering section interval.

[0042] Furthermore, based on the study of sintering, the ideal sintering thermal imaging of the current batch of sintering trolleys is obtained, and the ideal sintering thermal imaging includes a theoretical paving layer; the ideal sintering thermal imaging and the actual effective tail sintering cross-section thermal imaging are integrated to determine the bottom material paving interval based on the theoretical paving layer.

[0043] Furthermore, it also includes the steps of: obtaining the highest temperature interval of the actual effective tail sintering section thermal imaging, and if the temperature range value of the highest temperature interval is not less than the preset temperature range value, then determining the highest temperature interval as the current sintering critical temperature interval. Optionally, the temperature value of the preset temperature range value is pre-set, and if the trolley material of the sintering trolley has completed sintering before the most tail bellows position, the sintered material will go through a cooling walking process after being completely sintered, and the temperature of the current sintering critical temperature interval will be lower than 1280°C; if the trolley material of the sintering trolley completes sintering at the most tail bellows position, the temperature of the current sintering critical temperature interval will be around 1250°C (1330°C to 1280°C), and at this time, the sintering material below the current sintering critical temperature interval is raw material.

[0044] Preferably, if the sintering trolley fails to ignite, the sintering material has not been sintered. At this time, the current critical sintering temperature range is the entire sintering section range, and the thermal imaging temperature of the entire sintering section range will be lower than 600°C. In order to improve the prediction accuracy, the sintering trolleys that have not been sintered are eliminated, and the preset temperature range value is 600°C to 1280°C. More preferably, the preset temperature range value is 1000°C to 1280°C.

[0045] More preferably, in order to further improve the accuracy of prediction, the temperature range of the current critical sintering temperature interval is 1250°C to 1280°C.

[0046] Furthermore, the historical sintering condition parameters include historical sintering air volume, historical trolley speed, and historical sintering material layer thickness.

[0047] 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 maximum vertical section height of the current sintering critical temperature interval of the actual effective tail sintering section thermal imaging is obtained, and if the maximum vertical section height is greater than the preset height, the actual effective tail sintering section thermal imaging of the previous batch of trolleys is updated to the actual effective tail sintering section thermal 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 thermal imaging. At this time, it is judged by further obtaining the maximum vertical section height of the current sintering critical temperature interval. If the maximum vertical section height is greater than the preset height, the actual effective tail sintering section thermal imaging of the previous batch of trolleys is updated to the actual effective tail sintering section thermal 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 thermal imaging of the previous batch of trolleys.

[0048] Furthermore, in order to improve the prediction accuracy, step S10 specifically includes: obtaining the initial actual sintering cross-sectional thermal imaging image of each target sintering trolley corresponding to the current batch of trolleys; filtering out the distorted initial actual sintering cross-sectional thermal imaging image; performing image processing on the initial actual sintering cross-sectional thermal imaging image after filtering out the distortion; performing secondary processing on the initial actual sintering cross-sectional thermal imaging image after image processing by overlapping and averaging, and obtaining the effective actual sintering cross-sectional thermal imaging of the current batch of trolleys.

[0049] Furthermore, if the current sintered clinker return rate is greater than the return threshold, an early warning is issued. It is understandable that the return threshold can be set according to actual conditions, and can be 20%, 10%, or other data.

[0050] 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.

[0051] The present invention also provides a sintering return rate prediction system based on machine tail section thermal imaging, comprising a sintering machine, a sintering trolley, a thermal 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, and 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; the thermal imaging acquisition device is arranged on the outer side of the sintering machine tail wheel of the sintering machine, and the thermal imaging acquisition device is used to obtain the actual effective machine tail sintering section thermal 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 machine tail section thermal imaging.

[0052] 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 thermal imaging camera takes a picture of the tail section of the sintering machine to obtain the actual effective thermal imaging of the tail sintering section. In this embodiment, the ideal thermal imaging of the sintering section at the target sintering end position is set when the trolley inclination angle A is set to obtain the ideal thermal imaging of the sintering trolleys of the current batch. The ideal thermal imaging includes a theoretical paving layer; the ideal thermal imaging of the sintering section and the actual effective thermal imaging of the tail sintering section are integrated to determine the bottom material interval according to the theoretical paving layer. The ideal temperature distribution diagram of the ideal sintering section thermal imaging can be determined by theoretical calculation.

[0053] 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 tail section thermal imaging, characterized in that: The steps include: S10, obtaining the actual effective tail sintering cross-section thermal image of the current batch of trolleys, wherein the actual effective tail sintering cross-section thermal image has a known correlation ratio with the real cross-section 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 thermal 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 tail section thermal imaging according to claim 1 is characterized in that: Step S20 specifically includes: S21, obtaining the current sintering section entire section interval and the current sintering critical temperature interval of the trolley sintering material of the current batch of trolleys according to the actual effective tail sintering section thermal imaging, wherein the temperature range value of the current sintering critical temperature interval is 600° C. to 1280° C., and the current sintering critical temperature interval is within the current sintering section entire section interval; S22, calculating and obtaining the current raw material area ratio of the current sintering raw material interval according to the ratio of the current sintering critical temperature interval to the current sintering cross-section entire cross-sectional interval; S23, inputting the current raw material area ratio and the current sintering condition parameters into the return ore prediction model to predict the current sintering return ore rate of the current batch of trolleys, wherein the historical sintering raw material area ratio and the historical sintering 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 tail section thermal imaging according to claim 2 is characterized in that: Determine the area of ​​the current sintering critical temperature interval and the area above the current sintering critical temperature interval in the entire cross-sectional area of ​​the current sintering section as the current sintering clinker interval; According to the ratio of the current sintering clinker interval and the current sintering critical temperature interval, the current clinker area proportion of the current sintering clinker interval is obtained, and the current raw material area proportion is determined according to the current clinker area proportion, and the sum of the current raw material area proportion and the current clinker area proportion is 1.

4. The sintered ore strength prediction method based on tail section thermal imaging according to claim 2 is characterized in that: Acquire the bottom material paving interval of the current batch of trolleys according to the actual effective tail sintering section thermal imaging, wherein the bottom material paving interval is the space occupied by the actual bottom material paving on the bottom surface of the current batch of trolleys; Determine the area between the current sintering critical temperature interval and the base material interval in the entire cross-sectional interval of the current sintering section as the current sintering raw material cross-sectional interval; The current raw material area ratio is obtained according to the ratio of the current sintering raw material cross-sectional interval to the current sintering cross-sectional entire cross-sectional interval.

5. The sintered ore strength prediction method based on tail section thermal imaging according to any one of claims 1 to 4, characterized in that: Also includes the steps: The highest temperature interval of the actual effective tail sintering section thermal imaging is obtained, and if the temperature range value of the highest temperature interval is not less than the preset temperature range value, the highest temperature interval is determined to be the current sintering critical temperature interval.

6. The sintered ore strength prediction method based on tail section thermal imaging according to any one of claims 1 to 4, 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, obtain the maximum vertical section height of the current sintering critical temperature range of the actual effective tail sintering section thermal image; if the maximum vertical section height is greater than the preset height, update the actual effective tail sintering section thermal image of the previous batch of trolleys to the actual effective tail sintering section thermal image of the current batch of trolleys.

7. The method for predicting sintered ore strength based on tail section thermal imaging according to any one of claims 1 to 4, characterized in that: Step S10 specifically includes: Acquire an initial actual sintering cross-section thermal imaging image of each target sintering trolley corresponding to the current batch of trolleys; filtering out the distorted initial actual sintered cross-section thermal imaging image; Processing the initial actual sintered cross-section thermal imaging image after filtering out distortion; The initial actual sintering cross-section thermal imaging image after image processing is overlapped and averaged for secondary processing to obtain the effective actual sintering cross-section thermal imaging of the current batch of trolleys.

8. The method for predicting sintered ore strength based on tail section thermal imaging according to any one of claims 1 to 4, 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.

9. A sintering return rate prediction system based on tail section thermal imaging, characterized in that: It includes a sintering machine, a sintering trolley, a thermal 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 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 thermal imaging acquisition device is arranged on the outer side of the sintering machine tail wheel of the sintering machine, and the thermal imaging acquisition device is used to acquire the actual effective tail sintering section thermal imaging 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 thermal imaging as described in any one of claims 1 to 8.

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