CN112828052B - Tension roller slip online evaluation method based on strip steel cold rolling - Google Patents
Tension roller slip online evaluation method based on strip steel cold rolling Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
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- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
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Abstract
The invention provides a tension roller slip online evaluation method based on strip steel cold rolling, and belongs to the technical field of cold rolling and steel rolling. The method comprises the steps of firstly, collecting relevant data of a tension roller motor in real time, automatically searching a data effective trend section, intercepting a time period when a trend changes, capturing a tension roller parameter abnormal adjustment area, then establishing a tension roller slipping automatic evaluation model, and finally displaying the running state of the tension roller motor and the evaluation result of the tension roller slipping model on line. According to the method, the change of the state and the related parameters of the tension roller is monitored in real time, the abnormal parameter adjustment area is captured, the tension roller slipping evaluation model is established and qualitative and quantitative judgment is carried out, so that the evaluation on the slipping phenomenon of the tension roller in each tension section during the production of the cold rolling production line is realized, the evaluation result can play a role in guiding the regulation and control of field operators, the slipping occurrence area is analyzed in time, the product quality is improved, and the loss of production equipment is reduced.
Description
Technical Field
The invention relates to the technical field of cold rolling and steel rolling, in particular to a tension roller slip online evaluation method based on strip steel cold rolling.
Background
The tension roller is an important component of a cold rolling plant, the modern cold rolling production process is continuous and high-speed production, and the strip steel can continuously run only by keeping a certain tension. The tension in the cold rolling production line is generated because a rolled piece is stretched to generate elastic deformation, and the tension control is provided by open-loop and closed-loop control of the speed and the torque of a tension roller motor frequency converter. The tension control functions as follows: the tension of each tension section is in the range specified by the production process; the accurate position of the strip steel in production is ensured; the uneven plate type of the strip steel is improved to a certain extent; can make the strip steel obtain a uniform zinc coating. However, due to the reasons of incoming material specification, roller surface roughness, motor running state and the like, the tension roller may slip, the slip phenomenon not only causes the surface quality flaw of the strip steel, but also brings serious production faults such as strip steel deviation and the like, and poses a threat to the safety of production equipment, the surface abrasion of the roller is aggravated, the roller surface roughness is obviously reduced in a short period, and the roller changing period is shortened. In actual production, real-time monitoring of the slipping phenomenon is very difficult, because the slipping often happens instantly, the slipping of a slight degree can not cause the consequence of shutdown and the like, and is difficult to be found by a monitoring system and field production personnel, but the occurrence of the slipping phenomenon can influence the product quality and production equipment, and the number of tension rollers in a cold rolling production line is huge, and the real-time monitoring by manpower is unrealistic. Therefore, it is necessary to evaluate whether the tension roller slips or not through a model and output feedback in time.
Most of the current researches on the slip of the tension roller relate to how to perform roller motor torque control or change the material structure of the tension roller to reduce or eliminate the slip phenomenon, and the evaluation on the slip phenomenon of the tension roller in general is almost not performed. For example, patent No. 201911346564, X "a method for eliminating the slip of a tension roller set", describes that the tension of an inlet of a tension roller is adjusted, and the slip coefficient of the tension roller is reduced to control the tension roller not to slip. Patent No. 201810528066.6 "anti-slip tension roller" discloses an anti-slip tension roller, which is suitable for ensuring the reliable operation of a cold rolling unit and prolonging the service life of the tension roller under the condition of wet steel strips.
The invention provides a method for qualitatively evaluating whether a tension roller slips or not based on quantitative analysis of two parameters of torque and linear velocity of a tension roller motor.
Disclosure of Invention
The invention aims to solve the technical problem of providing an online evaluation method for tension roller slipping based on strip steel cold rolling, which is used for qualitatively and quantitatively analyzing relevant parameters of a tension roller motor, capturing a parameter abnormal adjustment interval, establishing a tension roller slipping evaluation model and evaluating the phenomenon of the tension roller slipping, so that the result plays a role in guiding regulation and control of field production personnel, timely analyzing a slipping occurrence area, improving the product quality and reducing the loss of production equipment.
The method comprises the steps of firstly, collecting relevant data of a tension roller motor in real time, automatically searching a data effective trend section, intercepting a time period when a trend changes, capturing a tension roller parameter abnormal adjustment area, then establishing a tension roller slipping automatic evaluation model, and finally displaying the running state of the tension roller motor and the evaluation result of the tension roller slipping model on line.
The method specifically comprises the following steps:
(1) collecting related data of the tension roller in real time;
(2) automatically searching a data effective trend interval;
(3) intercepting a time period when the trend changes;
(4) capturing a tension roller parameter abnormal adjustment area;
(5) establishing a tension roller slipping automatic evaluation model;
(6) and displaying the running state of the tension roller motor and the evaluation result of the tension roller slipping model on line.
Wherein the tension roller parameter in the step (4) is the linear velocity v of the tension rollerLAnd the actual torque value T of the tension roller motorA。
The tension roller related data in the step (1) comprises the linear velocity v of the tension rollerLActual torque value T of tension roller motorAAnd (2) the sampling frequency acquired in real time in the step (1) is 100 ms. Linear velocity vLThe actual values of the linear speed and the torque of the tension roller are TAThe current actual torque value fed back by the frequency converter.
In the step (2), the linear velocity v is acquired and stored in real time by taking 100ms as sampling frequencyLWith actual torque TAFiltering the sampled data by using a fixed step judgment method for the data points, searching for effective trends of the data, and judging whether the data points are effective trends or not by subtracting the data points sampled at the next moment from the currently sampled data points and comparing the result with the fixed step, wherein the trend set is ti={ti _ rise,ti _ Down,ti _ invalid}:
In the above formula, tviThe linear velocity variation tendency of the tension roller, tTiFor tensioning rollerTendency of machine torque variation, CvFor fixed step length of linear velocity, CTFor torque fixed step size, vLiFor the current linear speed, v, of the tension roller being sampledLi+1For the next sampling point of the sampling, the linear velocity of the tension roller, TAiFor the sampled current actual torque value, T, of the tension roller motorAi+1The actual torque value of the tension roller motor at the next sampling point is obtained; t is tvi _ riseThe actual linear speed value of the tension roller is in an ascending trend and is in an effective trend; t is tvi _ DownThe actual linear speed value of the tension roller is in a descending trend and is in an effective trend; t is tvi _ invalidThe trend is the invalid change trend of the actual linear speed value of the tension roller; t is tTi _ UpThe current torque actual value of the tension roller motor is in an increasing trend and is an effective trend; t is tTi _ DownThe actual value of the current torque of the tension roller motor is in a descending trend, and the actual value of the current torque of the tension roller motor is in an effective trend; t is tTi _ invalidThe current torque actual value of the tension roller motor is invalid. The method for intercepting the time period with the trend changing in the step (3) comprises the following steps: continuously calculating the variation trend t of the sampling dataviAnd tTiBy a torque TAAs a reference parameter, the time interval Y during which the torque parameter trend changes is recordedTorque momentAs the time period during which the trend changes.
The method for capturing the abnormal adjustment area of the tension roller parameter in the step (4) is to record the torque TATime period Y during which trend changesTorque momentIf the two parameters have opposite trends in the time period, the time period is judged to be a tension roller motor parameter abnormal adjustment area, and the algorithm is as follows:
namely:
wherein, YerrorAdjusting time period v for tension roller motor parameter abnormityL_s,vL_eAdjusting tension over time for anomaliesRoll start and end linear velocity data points; t isA_s,TA_eThe torque data points for the start and end of the roll motor during the period of the anomaly adjustment.
Adjusting time Y in tension roller motor parameter abnormityerrorIn the method, the actual torque value T of the tension roller motor is evaluated by using a tension roller slip evaluation modelAAnd linear velocity vLCarrying out quantitative calculation; the tension roller slip evaluation model is as follows, where 0 represents normal and 1 represents slip:
wherein E isiThis tension roller state was evaluated.
The technical scheme of the invention has the following beneficial effects:
in the scheme, whether the tension roller slips or not can be accurately and qualitatively evaluated. In order to verify the accuracy of the judging method, judging experiments are carried out in a 2230mm cold-rolling galvanizing factory, the torque and linear velocity data of 3 groups of tension roller motors are collected in real time, the relevant parameters of each group of tension rollers are brought into model evaluation by using the evaluating method, and the judging result is basically consistent with the actual situation on site.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a graph showing the actual slip of the tension roller according to the method of the present invention;
FIG. 3 is a drawing showing the slip evaluation result of the tension roller according to the method of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a tension roller slip online evaluation method based on strip steel cold rolling.
As shown in figure 1, the method comprises the steps of firstly collecting relevant data of a tension roller motor in real time, automatically searching a data effective trend section, intercepting a time period when a trend changes, capturing a tension roller parameter abnormal adjustment area, then establishing a tension roller slipping automatic evaluation model, and finally displaying the running state of the tension roller motor and the evaluation result of the tension roller slipping model on line.
The method specifically comprises the following steps:
s1, data acquisition: acquiring actual torque T of each tension roller in the cold rolling production line in real time according to the sampling frequency of 100msALinear velocity v of tension rollerLAnd (4) data.
S2, automatically searching valid data intervals: filtering the sampled data by using a fixed step length judgment method, searching for an effective data change trend, judging the effective trend by subtracting the data point sampled at the next moment from the currently sampled data point and comparing the result with the fixed step length, wherein the trend is integrated into ti={ti _ rise,ti _ Down,ti _ invalid}:
In the above formula, tviThe linear velocity variation tendency of the tension roller, tTiThe torque variation tendency of the motor of the tension roller, CvFor fixed step length of linear velocity parameter, CTFixing step size, v, for torque parameterLiIs a sampled current linear velocity data point, v, of the tension rollerLi+1Is a linear velocity data point, T, of the tension roller at the next sampling momentAiIs a sampled tension roller motor current actual torque data point, TAi+1The fixed step length C can be adjusted according to different roller motor frequency converter parameter specifications and sampling frequencies for the actual torque parameter point of the tension roller motor at the next sampling moment.
S3, the method for intercepting the time period when the trend changes is as follows: continuously calculating the variation trend t of the sampling dataviAnd tTiBy a torque TAAs a reference parameter, the time interval Y during which the torque parameter trend changes is recordedTorque momentAs the time period during which the trend changes.
S4, capturing a tension roller motor related parameter abnormal adjustment area: recording the torque TATime period Y during which trend changesTorque momentIf the two parameters have opposite trends in the time period, the time period is judged to be the abnormal adjustment time of the motor parameters of the tension roller, and the algorithm is as follows:
namely:
wherein, YerrorAdjusting time period v for tension roller motor parameter abnormityL_s,vL_eData points of the initial linear velocity and the final linear velocity of the tension roller in the abnormal adjustment time period are shown; t isA_s,TA_eThe torque data points for the start and end of the roll motor during the period of the anomaly adjustment.
And S5, outputting an evaluation result by using the tension roller slip evaluation model: adjusting time Y in tension roller motor parameter abnormityerror, utilizing a tension roller slip evaluation model to evaluate the torque T of a tension roller motorAAnd linear velocity vLAnd (4) carrying out quantitative calculation. The tension roller slip evaluation model is as follows, where 0 represents normal and 1 represents slip:
wherein E isiThis tension roller state was evaluated.
S6, displaying the running state of the roller motor and the slip evaluation result of the tension roller on line: and displaying the running state of each tension roller motor and the result of evaluating the tension roller state in real time on an interface of the upper computer.
Further, the fixed step length C in the fixed step length judgment methodv,CTIs determined based on the on-site sampling period and the specifications of a tension roller motor and a frequency converter, and in the tension roller slipping evaluation model, the state evaluation V is carried outiThe threshold of 20% is determined by in-line production process.
The following description is given with reference to specific examples.
Example 1
The method for evaluating the slip of the cold rolling tension roller on line comprises the following steps:
and S1, data acquisition: and respectively acquiring the linear speed of each tension roller and the actual torque data of the roller transmission motor according to the sampling frequency of 100 ms.
In the embodiment of the invention, the tension straightening section is taken as an example, and the slip evaluation of the tension roller is carried out by taking the relevant data of the No. 8 tension roller group 1#, the No. 2# and the No. 3 roller motor. As shown in table 1, torque and linear velocity data of each roller motor 3s of the tension straightening section # 8 tension roller group in a certain period of time were collected.
TABLE 1
S2 and S3, the motor parameter change trend of the sampling time period is judged through a fixed step judgment method, and data points in the time period in which the trend changes are intercepted, as shown in a table 2:
TABLE 2
S4, judging the motor parameter variation trend of the sampling time period by a fixed step length judging method, capturing the tension roller motor parameter abnormal adjustment interval according to the flow of figure 1, and showing the judgment result in table 3:
TABLE 3
S5, judging the abnormal adjustment interval of the motor parameters through the processes, establishing a tension roller slipping evaluation model, bringing data into the evaluation model, and displaying the matched tension roller slipping result as shown in the table 4:
TABLE 4
Abnormality adjustment device | vLAmplitude of adjustment | TAAmplitude of adjustment | Slip evaluation |
Tension roller motor 1# | 24.2% | 58.6% | 1, slip |
As shown in fig. 2 and 3, the actual curves and the evaluation results of the slip of the tension roller are shown, respectively.
The method judges the adjustment interval of the abnormal state of the roller motor by monitoring the linear speed of each tension roller and the torque of the roller motor in the cold rolling tension section in real time, and carries out qualitative and quantitative analysis on data points in the interval by a slip evaluation model, thereby realizing the evaluation of the slip state of the tension roller. The method is a tension roller slip evaluation method with strong universality and high reliability, is already tried in a certain 2230mm cold-rolled galvanizing production line in China, has the evaluation result basically consistent with the actual situation on site, and can show the effectiveness of the judgment method.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (4)
1. A tension roller slip online evaluation method based on strip steel cold rolling is characterized by comprising the following steps: the method comprises the following steps:
(1) collecting related data of the tension roller in real time; the tension roller related data comprises the linear velocity v of the tension rollerLActual torque value T of tension roller motorA;
(2) Automatically searching a data effective trend interval, filtering the data collected in the step (1) by using a fixed step length judgment method, searching a data effective trend, and judging whether the data effective trend is the effective trend or not by comparing the difference between the data point sampled at the next moment and the data point sampled at the present moment and comparing the result with the fixed step length;
(3) intercepting a time period when the trend changes;
(4) capturing a tension roller motor parameter abnormal adjustment time period;
(5) establishing a tension roller slipping automatic evaluation model;
(6) displaying the running state of a tension roller motor and the evaluation result of the tension roller slipping automatic evaluation model on line;
the trend set in the step (2) is ti={ti _ rise,ti _ Down,ti _ invalid}:
In the above formula, tviThe linear velocity variation tendency of the tension roller, tTiThe torque variation tendency of the motor of the tension roller, CvFor fixed step length of linear velocity, CTFor torque fixed step size, vLiFor the current linear speed, v, of the tension roller being sampledLi+1For the next sampling point of the sampling, the linear velocity of the tension roller, TAiFor the sampled current actual torque value, T, of the tension roller motorAi+1The actual torque value of the tension roller motor at the next sampling point is obtained; t is tvi _ riseThe actual linear speed value of the tension roller is in an ascending trend and is in an effective trend; t is tvi _ DownThe actual linear speed value of the tension roller is in a descending trend and is in an effective trend; t is tvi _ invalidThe trend is the invalid change trend of the actual linear speed value of the tension roller; t is tTi _ UpThe current torque actual value of the tension roller motor is in an increasing trend and is an effective trend; t is tTi _ DownThe actual value of the current torque of the tension roller motor is in a descending trend, and the actual value of the current torque of the tension roller motor is in an effective trend; t is tTi _ invalidThe trend that the actual value of the current torque of the tension roller motor is invalid is shown;
the method for capturing the tension roller motor parameter abnormal adjustment time period in the step (4) is to record the tension roller motor torque actual value TATime period Y during which trend changesTorque momentIf the two parameters have opposite trends in the time period, the time period is judged to be the tension roller motor parameter abnormal adjustment time period, and the algorithm is as follows:
namely:
wherein, YerrorAdjusting time period v for tension roller motor parameter abnormityL_s,vL_eData points of the initial linear velocity and the final linear velocity of the tension roller in the abnormal adjustment time period are shown; t isA_s,TA_eWhen adjusted for abnormalityTorque data points of the tension roller motor at the starting time and the ending time in the period of time;
in the step (5), the time period Y for the abnormal adjustment of the motor parameters of the tension roller is seterrorIn the method, the actual torque value T of the tension roller motor is automatically evaluated by using a tension roller slipping automatic evaluation modelAAnd linear velocity vLCarrying out quantitative calculation; the tension roller slip automatic evaluation model is as follows, where 0 represents normal and 1 represents slip:
wherein E isiThis tension roller state was evaluated.
2. The tension roller slip on-line evaluation method based on strip steel cold rolling according to claim 1, characterized in that: the sampling frequency of the real-time acquisition in the step (1) is 100 ms.
3. The tension roller slip on-line evaluation method based on strip steel cold rolling according to claim 1, characterized in that: linear velocity v of the tension rollerLThe actual value of the linear velocity of the tension roller and the actual value T of the torque of the tension roller motorAThe current actual torque value fed back by the frequency converter.
4. The tension roller slip on-line evaluation method based on strip steel cold rolling according to claim 1, characterized in that: the method for intercepting the time period with the changed trend in the step (3) comprises the following steps: tension roller linear speed variation trend t for continuously calculating sampling dataviAnd the torque variation trend t of the tension roller motorTiBy the actual torque value T of the tension roller motorAAs a reference parameter, the actual torque value T of the tension roller motor is recordedATime period Y during which trend changesTorque momentAs the time period during which the trend changes.
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JPS5768210A (en) * | 1980-10-14 | 1982-04-26 | Nippon Steel Corp | Slip detecting method and interstand tension controlling method and apparatus using sand detecting method |
JPH09192718A (en) * | 1996-01-17 | 1997-07-29 | Sumitomo Metal Ind Ltd | Slip preventing method for transportation of metallic strip and device therefor |
JP2001071015A (en) * | 1999-09-06 | 2001-03-21 | Kawasaki Steel Corp | Method and device for detecting slip between bridle roll and metallic strip |
CN107952799A (en) * | 2017-11-07 | 2018-04-24 | 武汉科技大学 | A kind of control method for reducing tension roll assembly skidding and influencing |
CN111250550A (en) * | 2020-01-15 | 2020-06-09 | 首钢京唐钢铁联合有限责任公司 | Control method and control system of tension roller set |
CN111438198A (en) * | 2020-03-04 | 2020-07-24 | 首钢京唐钢铁联合有限责任公司 | Control method and device for tension roller set |
Family Cites Families (1)
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CN111085548B (en) * | 2019-12-24 | 2021-06-18 | 鞍钢冷轧钢板(莆田)有限公司 | Method for eliminating slip of tension roller set |
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Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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JPS5768210A (en) * | 1980-10-14 | 1982-04-26 | Nippon Steel Corp | Slip detecting method and interstand tension controlling method and apparatus using sand detecting method |
JPH09192718A (en) * | 1996-01-17 | 1997-07-29 | Sumitomo Metal Ind Ltd | Slip preventing method for transportation of metallic strip and device therefor |
JP2001071015A (en) * | 1999-09-06 | 2001-03-21 | Kawasaki Steel Corp | Method and device for detecting slip between bridle roll and metallic strip |
CN107952799A (en) * | 2017-11-07 | 2018-04-24 | 武汉科技大学 | A kind of control method for reducing tension roll assembly skidding and influencing |
CN111250550A (en) * | 2020-01-15 | 2020-06-09 | 首钢京唐钢铁联合有限责任公司 | Control method and control system of tension roller set |
CN111438198A (en) * | 2020-03-04 | 2020-07-24 | 首钢京唐钢铁联合有限责任公司 | Control method and device for tension roller set |
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