Casting blank production control method based on flame cleaning machine equipment state monitoring

Abstract

The invention discloses a casting blank production control method based on flame cleaning machine equipment state monitoring, and the method comprises the steps: carrying out a pre-judgment step before cleaning a casting blank, and carrying out the positioning data collection of the casting blank through arranging an online detection device at an inlet of a flame cleaning machine in the pre-judgment step, analyzing and processing the acquired positioning data to judge the deformation state of the casting blank, and predicting whether to enter a casting blank production cleaning process or not based on the deformation state of the casting blank; if yes, entering a casting blank cleaning process, and cleaning the casting blank through a flame cleaning machine; if not, an alarm reminding signal is sent out and / or casting blank cleaning is controlled to be canceled; according to the scheme, through positioning data collection before cleaning, whether the casting blank is suitable for cleaning or not is pre-judged in advance, and damage to equipment caused by deformation of the casting blank is avoided.

Description

Technical Field

[0001] The invention relates to the field of steel continuous casting finishing treatment, and in particular to a casting blank production control method based on equipment status monitoring of a flame cleaning machine. Background Art

[0002] During the production of slabs, various defects such as surface damage, subcutaneous horizontal and vertical cracks, subcutaneous pinholes, and slag inclusions will lead to a large number of scraps and spot products in the rolling process, seriously affecting the quality of the final product. Due to the advantages of high cleaning efficiency, low heat loss, and significant improvement in the quality of the ingot, the automatic flame cleaning machine for slabs has gradually become the choice of major steel mills to improve product quality and ensure stable product performance.

[0003] In the past, manual cleaning was adopted, which had low cleaning efficiency and was not conducive to the stable control of cleaning quality. With the increase in production costs and the aging of equipment, the quality of ingots in the production process has become increasingly difficult to control. The cleaning quality of the flame cleaning machine is highly related to the equipment status. During the production process, the ingots are often severely deformed, which can damage the burner of the flame cleaning machine and even cause it to be scrapped, resulting in large economic losses and seriously affecting the production efficiency of the flame cleaning machine. The stability of production quality is difficult to meet the rhythm of modern production. Nowadays, unmanned, efficient and low-cost have become the mainstream of the current era. How to achieve real-time monitoring of the cleaning machine equipment status under the premise of existing technical capabilities, so as to adjust the cleaning machine equipment status in time, avoid equipment damage, and improve the cleaning ability and cleaning effect of the ingots has become a difficult problem for enterprise production.

[0004] For example, the patent application number CN201910056291.9 is a flame cleaning machine slab head positioning and cleaning stuck steel detection system. Although it can realize the positioning of the head preheating pit through the positioning system, thereby preventing the quality loss caused by too long preheating time and inaccurate preheating position, it cannot solve the technical problems of real-time monitoring of the cleaning machine equipment status and eliminating the damage to the equipment caused by the deformation of the casting slab. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a method for controlling the production of cast billets based on the equipment status monitoring of flame cleaning machines, so as to improve the cleaning qualification rate of automatic flame cleaning machines. The cleaning status of the cast billets can be predicted in advance to avoid production accidents caused by large deformation of the cast billets, and the economic losses caused by damage to important parts such as the burner of the equipment due to poor condition of the cast billets can be greatly reduced. Through the analysis and processing of production data, the equipment status of the flame cleaning machine can be monitored in real time, the corresponding equipment failure can be accurately identified, and timely adjustments and repairs can be made.

[0006] In order to achieve the above-mentioned purpose, the technical scheme adopted by the present invention is: a casting blank production control method based on flame cleaning machine equipment status monitoring, including entering a prejudgment step before casting blank cleaning, in which an online detection device is set at the entrance of the flame cleaning machine to collect the positioning data of the casting blank, and the collected positioning data is analyzed and processed to judge the deformation state of the casting blank and predict whether to enter the casting blank production cleaning process based on the deformation state of the casting blank; if so, entering the casting blank cleaning process to clean the casting blank through the flame cleaning machine; if not, sending an alarm reminder signal and / or controlling to cancel the casting blank cleaning;

[0007] The lower surface height hi and the upper surface height Hi of the ingot are collected by an online detection device, wherein i is the number of data collected in a sampling period of the online detection device; hi and Hi represent the lower surface height and the upper surface height of the ingot obtained by the i-th sampling in a sampling period, respectively;

[0008] Compare the hi and Hi values ​​of each sampling within the sampling period, obtain the maximum value Hmax, and compare Hmax with the set threshold value. When Hmax is greater than the set threshold value, it is judged that the deformation of the billet is serious. At this time, an alarm signal corresponding to the serious deformation of the billet is issued and the billet cleaning is stopped; otherwise, the billet production cleaning process is entered.

[0009] In the cleaning process of the ingot production, the cleaning depth D0 and the cleaning speed V0 set on the flame cleaning machine are obtained, and the cleaning time S is recorded during the cleaning process of the ingot;

[0010] During the cleaning process, the length L0 of the ingot is collected in real time, and then the ingot cleaning speed V is calculated based on the collected data. The calculated ingot cleaning speed V is compared with the set theorem speed V0 of the cleaning machine to determine whether the cleaning process of the flame cleaning machine is normal. If it is judged to be abnormal, an alarm reminder will be issued.

[0011] The difference K is obtained by subtracting the calculated billet cleaning speed V and the set cleaning speed V0 of the cleaning machine, and the difference K is compared with the speed threshold. When the difference K is greater than the speed threshold, it is judged that the cleaning process of the flame cleaning machine is abnormal. At this time, the flame cleaning machine is controlled to stop and a corresponding alarm reminder is issued.

[0012] An online measuring sensor and a camera are installed at the exit of the flame cleaning machine to collect the size and surface information images of the cleaned slab respectively; the cleaning status of the ingot is analyzed based on the collected data, and the working status of the flame cleaning machine is judged based on the ingot cleaning data, and the production process is controlled under the working status of the flame cleaning machine.

[0013] Obtaining the ingot cleaning data includes: calculating the actual cleaning depth Di and the side cleaning value Ni of the upper and lower surfaces of the ingot after cleaning, judging the cleaning effect of the cleaning machine based on the cleaning length Li of the slab and the actual cleaning depth Di and the side cleaning value Ni, and performing corresponding process control.

[0014] When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are between D0±0.2mm, it is judged that the cleaning effect of the slab is good, the cleaned slab is considered qualified, and the slab is placed in the designated stacking position. 0.02mm is the upper limit of the error threshold C. The main purpose of setting the error threshold C is to monitor and judge more accurately.

[0015] When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are less than D0-0.2mm, and the length Mi>60mm, it is judged that the preheating effect of the flame cleaning machine burner is poor and the cleaning machine is in a leakage fault. At this time, an alarm is issued and the slab is braked to prevent it from flowing out to the next process.

[0016] When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are greater than D0+0.2mm, and the length Mi>60mm, it is judged that there is an abnormal flow of slag flushing water, resulting in slagging on the roller, and the slag aggregates and condenses on the roller to scratch the ingot; at this time, the corresponding fault alarm is issued, and the slab is braked to prevent it from flowing out to the next process.

[0017] The advantages of the present invention are: the cleaning status of the ingot can be predicted in advance to avoid damage to the burner due to large deformation of the ingot during the cleaning process, which may cause major production accidents and economic losses. Through production data analysis and processing, the equipment status of the flame cleaning machine can be monitored in real time, the corresponding equipment failures can be accurately identified, and timely adjustments and repairs can be made. In the current situation where human resources are tight, the temperature of the ingot is high, and there are many dangerous factors in manual inspection, the corresponding equipment status of the cleaning machine can be predicted in advance through data analysis, thus paving the way for efficient and low-cost operation. The specific technical advantages of this solution are as follows:

[0018] (1) By collecting positioning data before cleaning, it is possible to predict in advance whether the ingot is suitable for cleaning, thus avoiding damage to the equipment caused by ingot deformation;

[0019] (2) Fix the testing equipment at a specific location and use a specific heat insulation method to avoid damage to the testing equipment in a high temperature environment;

[0020] (3) Through data analysis of the production process, accurately identify whether the flame cleaning machine equipment status is normal, so as to make timely adjustments, prevent scratches on the billet, and improve the cleaning quality;

[0021] (4) Through the post-production data collection and analysis of the ingot, the equipment status of the flame cleaning machine can be accurately identified, and timely and effective feedback and records can be made to achieve standardized, normalized, and efficient identification and maintenance of the equipment status of the cleaning machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The following is a brief description of the contents expressed in the drawings of the present invention and the symbols in the drawings:

[0023] Figure 1 It is a schematic diagram of the monitoring processing method of the present invention;

[0024] Figure 2 Schematic diagram of the distribution of detection units of the present invention. DETAILED DESCRIPTION

[0025] The specific implementation of the present invention will be further explained in detail below by describing the optimal embodiment with reference to the accompanying drawings.

[0026] The ingot production control method based on the flame cleaning machine equipment status monitoring provided in this embodiment includes the following three processes:

[0027] (1) Positioning data collection before billet cleaning, judging whether the billet is suitable for cleaning based on the positioning data collection and issuing corresponding alarms, to avoid damage to equipment production caused by forced cleaning due to billet deformation that is not suitable for cleaning;

[0028] (2) Data monitoring and analysis during the cleaning process of the ingot production. Based on the data collected during the cleaning process, it is determined whether the flame cleaning machine equipment is normal, and a corresponding alarm is issued and the production process is controlled to prevent the ingot from being scratched and improve the cleaning quality;

[0029] (3) Collect and analyze the ingot data after production cleaning, identify whether the flame cleaning machine equipment is faulty based on the ingot data after cleaning, and make timely alarm reminder feedback and corresponding production process control.

[0030] Before cleaning the ingot:

[0031] Before the billet cleaning is performed, the prejudgment step is performed. In the prejudgment step, the positioning data of the billet is collected by setting an online detection device at the entrance of the flame cleaning machine, and the collected positioning data is analyzed and processed to determine the deformation state of the billet and predict whether to enter the billet production cleaning process based on the deformation state of the billet; if so, the billet cleaning process is entered to clean the billet through the flame cleaning machine; if not, an alarm reminder signal is issued and / or control is controlled to cancel the billet cleaning;

[0032] The prejudgment step requires the installation of an online detection device at the entrance of the flame cleaning machine. The online monitoring device is mainly used to detect the upper and lower surface heights, widths and lengths of the ingot. Specifically, the lower surface height hi and upper surface height Hi of the ingot are collected through the online detection device, where i is the number of data collected during the sampling period of the online detection device; hi and Hi respectively represent the lower surface height and upper surface height obtained by the i-th sampling of the ingot in a sampling period; the hi and Hi values ​​of each sampling are compared during the sampling period to obtain the maximum value Hmax, and Hmax is compared with the set threshold. When Hmax is greater than the set threshold, it is judged that the ingot is severely deformed, and an alarm signal corresponding to the severe deformation of the ingot is issued at this time, and the ingot cleaning is controlled to stop; otherwise, the ingot production cleaning process is entered. The analysis system sends the alarm signal to the remote control room, and the alarm signal is issued through the alarm device in the control room. The operator controls the flame cleaning machine to stop cleaning according to the received alarm signal to avoid damage to the burner when the cleaning is started.

[0033] In the cleaning process of ingot production, the cleaning depth D0 and cleaning speed V0 set on the flame cleaning machine are obtained, and the cleaning time S is recorded during the cleaning process of the ingot; the length L0 of the ingot is collected in real time during the cleaning process, and then the ingot cleaning speed V is calculated based on the collected data, and the calculated ingot cleaning speed V is compared with the set theorem speed V0 of the cleaning machine to determine whether the cleaning process of the flame cleaning machine is normal. If it is judged to be abnormal, an alarm reminder is issued.

[0034] The difference K is obtained by subtracting the calculated billet cleaning speed V and the set cleaning speed V0 of the cleaning machine, and the difference K is compared with the speed threshold. When the difference K is greater than the speed threshold, it is judged that the cleaning process of the flame cleaning machine is abnormal. At this time, the flame cleaning machine is controlled to stop and a corresponding alarm reminder is issued. The current speed difference is greater than the threshold, which means that the current cleaning machine is in a bad state during the cleaning process, and there is a billet jam group. It is necessary to stop the machine to check the equipment and determine whether the equipment has a roller jam problem to avoid scratches on the billet and damage to the equipment caused by abnormal termination of the production process.

[0035] After cleaning, the cleaned billet is analyzed to determine whether it is normal and based on this, the production of the billet is controlled:

[0036] An online measuring sensor and a camera are installed at the exit of the flame cleaning machine to respectively collect the size and surface information images of the cleaned slab; the cleaning situation of the ingot is analyzed based on the collected data, and the working state of the flame cleaning machine is judged based on the ingot cleaning data, and the production process is controlled according to the working state of the flame cleaning machine; at the same time, when it is judged that the working state of the flame cleaning machine is in failure, the collected image data is sent to the remote monitoring room for an alarm reminder.

[0037] Obtaining the ingot cleaning data includes: calculating the actual cleaning depth Di and the side cleaning value Ni of the upper and lower surfaces of the ingot after cleaning, judging the cleaning effect of the cleaning machine based on the cleaning length Li of the slab and the actual cleaning depth Di and the side cleaning value Ni, and performing corresponding process control.

[0038] When the cleaning length Li is greater than 200mm, the cleaning depth is set to D0, and the qualified tolerance value of the cleaning depth allowed by the process is 0.2mm. When the cleaning depth exceeds this tolerance value, the ideal cleaning effect cannot be achieved, and the cleaning is deemed to be unqualified. When the Di and Ni values ​​are between D0±0.2mm, it is judged that the cleaning effect of the ingot is good at this time, and the cleaned slab is considered qualified, and the ingot is placed on the designated stack.

[0039] When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are less than the minimum allowable cleaning depth D0-0.2mm, and the length Mi>60mm, it is judged that the preheating effect of the flame cleaning machine burner is poor and the cleaning machine is in a leaking fault. At this time, an alarm is issued and the slab is braked to prevent it from flowing out to the next process. At the same time, the collected image data is uploaded to the operation room, the operation room checks the corresponding defect photos, determines the location according to the corresponding alarm information, stops the machine for maintenance, and cleans and replaces the burner at the corresponding position. This slab is considered unqualified, and the relevant personnel are notified to go down to the designated stack for manual cleaning. Mi refers to the leaking length degree, the billet cleaning speed V0 is set, and the data is collected once every 0.2s. The difference in the number of i after 60mm is 60*5 / V0, and the average depth of the wide and narrow cleaning is (Di+Ni) / 2. The average cleaning depth of the 60*5 / V0 points from the i-th point to the i′ point after 60mm is Mi.

[0040]

[0041] Degree refers to the average cleaning depth of the ith point and 60 mm behind;

[0042] i is the number of values ​​collected every 0.2s, and the value of i is 1, 2, 3...n;

[0043] i′ is the value of i after 60 mm, and the value of i at the i-th point after 60 mm is i′=i+60*5 / V0;

[0044] Di and Ni represent the cleaning depth of wide and narrow surfaces respectively;

[0045] V0 is the cleaning speed set for the billet.

[0046] When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are greater than D0+0.2mm, and the length Mi>60mm, it is judged that there is an abnormal flow of slag flushing water, which causes slag on the roller, and the slag gathers and condenses on the roller to scratch the ingot; at this time, the corresponding fault alarm is issued, and the slab is braked to prevent it from flowing out to the next process. This indicates that there is an abnormal flow of slag flushing water, which causes slag on the roller, and the slag gathers and condenses on the roller to scratch the ingot. At this time, the analysis system alarms and brakes the slab to prevent it from flowing out to the next process. The operation room checks the corresponding defect photos, determines the location of the defect according to the corresponding alarm information, stops the machine to check the slag flushing water, determines the flow of the slag flushing water, stops the machine for maintenance, and cleans and replaces the slag flushing water pipeline and flow. This billet is considered unqualified, and the relevant personnel are notified to go down to the designated stack to clean it manually.

[0047] When the cleaning length Li is between 0-200mm, there will be preheating pits caused by preheating of the billet within this length range. The depth of the preheating pit is required to be within 30mm. If the Di and Ni values ​​are greater than 30mm, the system determines that it is abnormal, issues an alarm, does not brake, and stops for inspection after cleaning. Arrange four shifts to check the cleaning gas flow and adjust the preheating time. When the Dn and Ni values ​​are ≤30mm, the billet does not brake, does not alarm, and continues to clean.

[0048] The purpose of the present invention is to provide a method for real-time monitoring of the state of the flame cleaning machine to eliminate the damage to the equipment caused by the deformation of the casting, which can predict in advance whether the casting is suitable for cleaning and avoid the damage to the equipment caused by the deformation of the casting. Through data analysis of the production process, production risks can be identified in advance, flame cleaning machine equipment failures can be accurately identified, and timely and effective feedback and records can be made. The technical solution of this patent is as follows:

[0049] A method for real-time monitoring of the status of the flame cleaning machine to eliminate damage to the equipment caused by the deformation of the billet requires the installation of an online detection device for the flame cleaning machine and a high-definition camera to collect the physical characteristics and images of the billet. A communication system and a data recording and analysis system are also installed, and the billet cleaning quality is judged by the data analysis and processing system. The online detection equipment implements dynamic data collection, collecting one data every 0.2s. Specifically, the following steps are included:

[0050] S1, a cross-type roller bridge is installed above the intersection of the finishing step-in billet roller and the centering roller 12m from the entrance of the flame cleaning machine, and an online detection device is installed in the middle of the bridge to collect positioning data before cleaning. The bridge deck is 3m long, 1m wide and 2.2m high. The online detection device is fixed in the middle of the bridge, mainly including 2 laser rangefinders and heat insulation devices, which are fixed at the center line position of the roller respectively. The measurement origin of the laser rangefinder on the bridge is parallel to the bridge, and the origin of the rangefinder below is parallel to the ground;

[0051] S2, the operator imports the basic information of the billet into the data recording and analysis system, and transports the billet to the billet feeding roller. Click the billet feeding button to make the billet slowly enter the centering roller from the billet feeding roller for centering. During this period, the online detection device collects data on the upper surface distance Z i , lower surface z i , through the data transmission of the communication system, the collected data is sent to the data recording and analysis system, and the data recording and analysis system analyzes H max值， Determine whether the billet is severely deformed and issue an alarm to prevent the deformed billet from damaging the equipment;

[0052] S3, after confirming that the billet has not been severely deformed and meets the cleaning standard, the billet is driven into the cleaning area, the cleaning depth D0 and the cleaning speed V0 are set on the cleaning machine, and then the cleaning machine is operated to clean the billet, and the cleaning time S is recorded in the cleaning machine system;

[0053] S4, the billet cleaning time S is sent to the data recording and analysis system through the communication system. The data recording and analysis system derives the billet length L0 and the cleaning time S from the billet basic information, calculates the difference between the billet cleaning speed V and the set cleaning speed V0, determines whether the cleaning process is normal, and records the processing results, sends them to the operation room, and issues an alarm signal for abnormal data;

[0054] S5, an online detection device and a high-definition camera are installed at the exit of the flame cleaning machine for image acquisition. Through the data transmission of the communication system, the data collected by the online detection device are summarized in the data analysis system for data analysis to determine the cleaning condition of the ingot after the flame cleaning machine is cleaned.

[0055] S6, data recording and analysis system performs data analysis, analyzes and cleans data N i , D i 、M i Whether it is normal, alarm and record, and send the alarm information and the corresponding defect photos taken by the high-definition camera to the control room; Mi refers to the degree of leakage cleaning length, which refers to the average cleaning depth of the i-th point and 60mm behind. S7, the control room checks the alarm data, promptly blocks and brakes the abnormal billet, confirms the location of the defect based on the alarm data and defect photos, and cleans and maintains the corresponding equipment to ensure the casting machine status.

[0056] Furthermore, the data collected in S1 are the lower surface distance z i , distance Z from the upper surface i , unit: mm. i is the number of values ​​collected every 0.2s, i takes values ​​of 1, 2, 3…n. The detection device converts the surface height of the ingot into an electrical signal and sends it to the analysis system.

[0057] Furthermore, in S2, the height h of the lower surface of the ingot is calculated by analyzing the analysis system. i =z i , upper surface height H i =2.2*103-Z i , take h from the collected parameters i and H i The maximum value of H max , when H max When the value is greater than 290mm, the upper surface height of the billet reaches the maximum closing height of the upper burner of 290mm. Cleaning the billet will cause the billet to directly damage the burner. At this time, the alarm system will issue an alarm message and record the data and feed it back to the operation room. The operator should stop cleaning after receiving the alarm signal to avoid damage to the burner. If not, continue to the next cleaning process;

[0058] Furthermore, in S4, the billet cleaning speed setting value V0 is fixed, the system derives the billet length L0 and cleaning time S, and the data recording and analysis system calculates the speed difference of cleaning the billet and takes the value K, in m / s, K = |L0 / S-V0|. When K is greater than 0.02m / s, it is considered that the current cleaning machine is in a bad state and there is a billet jam. It is necessary to stop the equipment for inspection and determine whether there is a roller jam problem in the equipment to avoid scratches on the billet and damage to the equipment caused by abnormal termination of the production process.

[0059] Furthermore, after the flame cleaning in S5 is completed, the online measurement system includes an online detection device and a high-definition camera. During the process of the billet moving, the size and surface information images of the cleaned billet are collected every 0.2s, so as to realize the real-time tracking and analysis of the data after the billet cleaning. The online detection device is divided into four groups of laser rangefinders, corresponding to the upper surface, lower surface, east side and west side of the billet, respectively. Figure 2As shown in the figure, it is a schematic diagram of an arrangement mode. One detection unit in each group corresponds vertically to a surface. The detection unit codes are "G01 (east side), G02 (east side edge), G03 (east side middle), G04 (west side middle), G05 (west side edge), G06 (west side), (G07, G08, G09, G10 lower surface)", and they are used as communication numbers. When the billet enters the detection area of ​​the detection device, the detection device will convert the detected billet size into an electrical signal. There are 8 groups of high-definition cameras in total, 3 groups are placed perpendicular to the upper and lower surfaces of the billet, corresponding to the east side, middle part and west side of the upper and lower surfaces of the billet, and 1 group each on the east side and west side of the billet. The online measurement sensor is covered with a heat insulation device. The heat insulation device is a 2000mm long, 1200mm wide and 20mm thick patterned plate welded under the overpass. The interior is filled with high-aluminum steel fiber castables and has two convex controls for online detection equipment detection. The heat insulation device can effectively prevent the support frame from deforming under the thermal stress of the hot billet, thus affecting the measurement results. The positioning data after cleaning includes: the width D of the cleaned billet i ′、Upper surface height distance H i ′, lower surface distance h i The collected signal shows the change of the uncleaned area, preheating pit and surface height of the slab, and obtains the real-time data of the cleaning depth of the slab from the head to the tail, so as to monitor the cleaning effect of the slab.

[0060] Furthermore, in S6, each detection unit detects a data every 0.2S, and the data starts to be measured until the data is interrupted and the detection is recorded as the information of one piece of casting. The cleaning depth value is set to D0, and the height of the parallel surface under the overpass is 2200mm. From S2, it can be obtained that the initial thickness of the casting is 2200-Z i -z i , the actual cleaning depth D of the upper and lower surfaces i =(2200-Z i -z i )-{2200-[Gn i +G(12-n) i ]} / 2 and determine whether it is greater than or equal to D0.

[0061] Where: D0 is the cleaning depth set during cleaning, unit: mm;

[0062] i is the number of collected values. The detection unit detects one data in 0.2S. i takes the value 1.

[0063] 2, 3…n, when i=1, it is the blank head position;

[0064] Gn is the detection distance, in mm, n is the detection device position code, the upper and lower surfaces are a pair,

[0065] n takes values ​​of 02, 03, 04, or 05;

[0066] 2200 is the total distance between the laser rangefinder on the upper and lower surfaces of the slab, in mm;

[0067] The distance after the upper surface is cleaned is recorded as G n , the distance after the lower surface is cleaned is recorded as G

[0068] (12-n), then the distances of the i-th point from the upper and lower surfaces after cleaning are Gn respectively. i , G

[0069] (12-n) i ; It can be understood as the detection distance at the upper surface Gn collected at the i-th moment and the detection distance at the lower surface G(12-n), where i represents the sampling moment and Gn1 represents the upper surface distance of the blank head position.

[0070] Furthermore, the center line of the width direction centering device is 0, the distance between the east and west laser rangefinders is 2500 mm, the width of the billet before cleaning is recorded as R0, and the width of the billet after cleaning is 2500-(G01 i +G06 i ). Then the side cleaning value N i = {R0-[2500-(G01 i +G06 i )]} / 2, the unit is mm, which can reflect the side cleaning situation.

[0071] Furthermore, after the billet is cleaned, when the laser rangefinder measures the cleaning length L to be between 0 and 200 mm, that is, when n≤200 / (V0*0.02), within this length range, there will be preheating pits caused by preheating of the billet, and the depth of the preheating pits is required to be within 30 mm. If D i 、N i If the value is greater than 30mm, the system determines that it is abnormal, issues an alarm, does not brake, stops the machine for inspection after cleaning, arranges four shifts to check the cleaning air flow and adjust the preheating time. n 、N i If the value is ≤30mm, the ingot will not be braked or alarmed, and cleaning will continue.

[0072] Furthermore, when the cleaning length L i When D is greater than 200 mm, i 、N i The value is equal to D0, indicating that the cleaning effect of the billet is good. At this time, the analysis system does not alarm, the billet is not braked, and the billet is considered qualified. The relevant personnel will put the billet down to the designated stacking position.

[0073] Furthermore, when the cleaning length L iWhen it is greater than 200mm, that is, n>200 / (V0*0.02), when D i 、N i When the value is less than D0 and the leakage length is greater than 60mm, that is, n = 60 / (V0*0.02), the leakage value after 60mm measured by the online measuring device is D i+n , use the cleaning depth D after point I and 60mm i+n The average value M i =(D i +D i+n ) / 2 indicates the degree of leakage. When M i When <D0-0.2mm, it means that the preheating effect of the burner is poor and there is a leakage defect greater than 60mm. At this time, the analysis system alarms and brakes the slab to prevent it from flowing out to the next process. The operation room checks the corresponding defect photos, determines the location according to the corresponding alarm information, stops the machine for maintenance, and cleans and replaces the burner at the corresponding position. This slab is considered unqualified, and the relevant personnel are notified to go down to the designated stack position for manual cleaning. 0.02mm is the upper limit of the error threshold C. The main purpose of setting the error threshold C is to monitor and judge more accurately.

[0074] Furthermore, when the cleaning length L i When D is greater than 200 mm, i 、N i Value greater than D0, and length> 60mm, M i >D0+0.2mm indicates that there is an abnormal flow of slag flushing water, which causes slagging on the rollers. The slag gathers and condenses on the rollers, causing scratches on the ingot. At this time, the analysis system alarms and brakes the slab to prevent it from flowing out to the next process. The operation room checks the corresponding defect photos, determines the location of the defect based on the corresponding alarm information, stops the machine to check the slag flushing water, determines the flow of the slag flushing water, stops the machine for maintenance, and cleans and replaces the slag flushing water pipeline and flow. This ingot is considered unqualified, and the relevant personnel are notified to go down to the designated stack to manually clean it.

[0075] In the specific implementation process, according to the guidance of the above scheme, the specific design and production steps are as follows:

[0076] Embodiment 1:

[0077] 1. According to the production situation, select the ingot that needs machine cleaning, ingot number 2310535036, steel grade MBTRG00305 and transport it to the cleaning roller;

[0078] 2. After the billet is transferred to the cleaning roller, the roller brakes and the billet enters the cleaning machine at a slow speed. The online detection device collects online data of the billet and obtains its length of 9038mm, width of 1216mm, upper surface height H1 maximum value of 302mm, lower surface height h i 72mm;

[0079] 3. The communication system sends the data to the data recording and analysis system, and the system determines H ma If the value is greater than 290mm, the abnormal signal is recorded and an alarm is sent to the control room;

[0080] 4. The control room receives the alarm information, stops cleaning, and arranges designated personnel to lift the ingot to the designated stack and arrange for someone to handle it.

[0081] Embodiment 2:

[0082] 1. According to the production situation, select the ingot that needs machine cleaning, ingot number 2310550235, steel grade MBTRG00210 and transport it to the cleaning roller;

[0083] 2. After the ingot is transferred to the cleaning roller, the roller brakes and the ingot slowly enters the cleaning machine. The online detection device collects online data of the ingot and obtains its length of 9022mm, width of 1220mm, maximum upper surface height H1 of 233mm, and lower surface height h1 of 3mm;

[0084] 3. The communication system sends the data to the data recording and analysis system, and the system determines H ma The value is not greater than 290mm, record H ma value, no alarm is issued;

[0085] 4. The operator starts machine cleaning, setting the peeling depth to 4mm and the cleaning speed to V=0.2m / s;

[0086] 5. Clean the ingot and record the cleaning time S = 50s

[0087] 6. The cleaning information is sent to the data processing system through the communication system. The data recording and analysis system calculates the K of the ingot and calculates that K = 0.0196 m / s, and its value is < 0.02 m / s. The data is recorded and no alarm information is issued.

[0088] 7. The online detection device at the machine cleaning outlet collects data on the ingot, and sends the collected data to the data recording and analysis system through the communication system. When Li≤200mm, Di, Ni≤30mm, the analysis system does not alarm or brake; when Li>200mm, Di, Ni≤4mm, M i =8822mm, the analysis system alarms and the slab is braked.

[0089] The control room checks the alarm information and the pictures taken by the high-definition camera to confirm the severity and location of the leakage, cleans and replaces the burners at the corresponding positions, and notifies the relevant personnel to take the ingot offline to the designated stack for grinding. The above embodiment is used to control the flame cleaning machine, which can effectively detect faults, alarm and eliminate faults, improve efficiency, and reduce the damage to the equipment caused by the deformation of the ingot.

[0090] Through on-site practice, the implementation and application of a method provided by this scheme to monitor the equipment status of the flame cleaning machine in real time to eliminate the damage to the equipment caused by the deformation of the billet, because the deformation of the billet during the production process causes the burner shoe to fall off and the burner to be damaged, the production accidents caused by the average of 6 times per month in 2022 has been reduced to the current average of 0 times per month, which greatly reduces production accidents and improves production efficiency. Through the online cleaning quality inspection of the equipment, the cleaning machine status is determined in advance, and timely maintenance and repair are carried out, so that the machine cleaning pass rate has increased from 93% to 95%, an increase of 2 percentage points. The beneficial effects of the present invention are: effectively avoiding the damage of valuable equipment caused by the cleaning of the billet deformation, greatly reducing the economic losses caused by the damage of important equipment of the cleaning machine and improving production efficiency. The automatic measurement and inspection of the cleaning quality of the flame cleaning machine is realized, the labor cost is reduced, and the cleaning machine is efficiently maintained through timely feedback and adjustment, the machine cleaning pass rate is improved, and the quality is recorded for easy tracking and reverse inspection.

[0091] Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention, they are all within the protection scope of the present invention.

Claims

1. A casting production control method based on flame cleaning machine equipment status monitoring, characterized in that: The method comprises entering a prejudgment step before cleaning the ingot, in which positioning data of the ingot is collected by setting an online detection device at the entrance of the flame cleaning machine, analyzing and processing the collected positioning data to determine the deformation state of the ingot and predicting whether to enter the ingot production cleaning process based on the deformation state of the ingot; if so, entering the ingot cleaning process to clean the ingot through the flame cleaning machine; if not, issuing an alarm reminder signal and / or controlling to cancel the ingot cleaning.

2. The method for controlling the production of cast slabs based on equipment status monitoring of a flame scarfing machine according to claim 1, characterized in that: The lower surface height hi and the upper surface height Hi of the ingot are collected by an online detection device, wherein i is the number of data collected in a sampling cycle of the online detection device; hi and Hi represent the lower surface height and the upper surface height of the ingot obtained by the i-th sampling in a sampling cycle, respectively; Compare the hi and Hi values ​​of each sampling within the sampling period, obtain the maximum value Hmax, and compare Hmax with the set threshold. When Hmax is greater than the set threshold, it is judged that the deformation of the billet is serious. At this time, an alarm signal corresponding to the serious deformation of the billet is issued and the billet cleaning is stopped; otherwise, enter the billet production cleaning process.

3. The method for controlling the production of casting blanks based on the equipment status monitoring of the flame scarfing machine according to claim 1, characterized in that: In the cleaning process of the ingot production, the cleaning depth D0 and the cleaning speed V0 set on the flame cleaning machine are obtained, and the cleaning time S is recorded during the cleaning process of the ingot; During the cleaning process, the length L0 of the ingot is collected in real time, and then the ingot cleaning speed V is calculated based on the collected data. The calculated ingot cleaning speed V is compared with the set theorem speed V0 of the cleaning machine to determine whether the cleaning process of the flame cleaning machine is normal. If it is judged to be abnormal, an alarm reminder will be issued.

4. The method for controlling the production of casting blanks based on the equipment status monitoring of the flame scarfing machine according to claim 3, characterized in that: The difference K is obtained by subtracting the calculated billet cleaning speed V and the set cleaning speed V0 of the cleaning machine, and the difference K is compared with the speed threshold. When the difference K is greater than the speed threshold, it is judged that the cleaning process of the flame cleaning machine is abnormal. At this time, the flame cleaning machine is controlled to stop and a corresponding alarm reminder is issued.

5. The method for controlling the production of cast slabs based on the equipment status monitoring of the flame scarfing machine according to any one of claims 1 to 4, characterized in that: An online measuring sensor and a camera are installed at the exit of the flame cleaning machine to collect the size and surface information images of the cleaned slab respectively; the cleaning status of the ingot is analyzed based on the collected data, and the working status of the flame cleaning machine is judged based on the ingot cleaning data, and the production process is controlled under the working status of the flame cleaning machine.

6. The method for controlling the production of cast slabs based on the equipment status monitoring of the flame scarfing machine according to claim 5, characterized in that: Obtaining the ingot cleaning data includes: calculating the actual cleaning depth Di and the side cleaning value Ni of the upper and lower surfaces of the ingot after cleaning, judging the cleaning effect of the cleaning machine based on the cleaning length Li of the slab and the actual cleaning depth Di and the side cleaning value Ni, and performing corresponding process control.

7. The method for controlling the production of cast slabs based on the equipment status monitoring of the scarfing machine according to claim 6, characterized in that: When the cleaning length Li is greater than 200 mm, when the Di and Ni values ​​are between D0±Cmm, it is judged that the cleaning effect of the ingot is good at this time, and the cleaned ingot is considered qualified, and the ingot is placed on the designated stack, where C is the error threshold.

8. The method for controlling the production of cast slabs based on the equipment status monitoring of the scarfing machine according to claim 6, characterized in that: When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are less than D0-Cmm, and the length Mi>60mm, it is judged that the preheating effect of the burner of the flame cleaning machine is poor and the cleaning machine is in a leakage fault. At this time, an alarm is issued and the slab is braked to prevent it from flowing out to the next process, where C is the error threshold.

9. The method for controlling the production of cast slabs based on the equipment status monitoring of the scarfing machine according to claim 6, characterized in that: When the cleaning length Li is greater than 200mm, when the Di and Ni values ​​are greater than D0+Cmm, and the length Mi>60mm, it is judged that there is an abnormal flow of slag flushing water, resulting in slag accumulation on the roller, and the slag aggregates and condenses on the roller to scratch the ingot; at this time, the corresponding fault alarm is issued, and the slab is braked to prevent it from flowing out to the next process.

10. The method for controlling the production of cast slabs based on the equipment status monitoring of the scarfing machine according to claim 6, characterized in that: When the cleaning length Li is between 0 and 200 mm, if the Di and Ni values ​​are greater than 30 mm, the system determines that it is abnormal and issues an alarm. After the cleaning is completed, the cleaning machine is controlled to stop and a corresponding inspection alarm signal is issued.

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