Shearing speed control method for tinplate transverse cutting unit

Abstract

The invention belongs to the technical field of metallurgical rolling, and provides a shearing speed control method for a tinplate transverse cutting unit, which comprises the following steps: acquiring shear blade horizontal speed components and strip steel speed data at different acquisition time points, and judging synchronism; if the synchronism is poor, discrete volatility analysis is carried out on the shear blade horizontal speed component and the strip steel speed, the adjustment priority is determined, and whether shear blade horizontal speed component adjustment needs to be carried out or not is judged; if yes, periodically analyzing the speed change of the strip steel, judging whether the speed of the strip steel has periodic change or not, and if yes, determining a periodic change sequence of the speed of the strip steel; and the adjusting sequence of the shear blade horizontal speed is determined by combining the synchronism of the shear blade horizontal speed component and the strip steel speed, so that the shearing quality is improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of metallurgical rolling, in particular to a shearing speed control method for a tinplate cross-cutting unit. BACKGROUND

[0002] Tinplate is a kind of metal material plated with a layer of tin on the surface of a low-carbon steel substrate through an electroplating process. Due to its good preservation, strong light resistance, and durability, it is widely used in packaging, chemical industry, electronics, and other fields. The cross-cutting unit is a key equipment in the field of metal plate processing, mainly used for accurately cutting continuous moving coils or long strips into fixed size plates according to the set length, and is widely used in steel, packaging, home appliances, automobile, and other industries.

[0003] In the existing technology, the speed control of the tinplate cross-cutting unit mainly relies on the combination of mechanical transmission and analog quantity control. However, this control method has relatively simple structure, low cost, limited precision, and poor parameter adjustment flexibility. It cannot accurately control the synchronization of the horizontal speed component of the shear blade and the strip speed during the shearing of the tinplate cross-cutting unit, resulting in poor synchronization and inability to dynamically adjust in time, which may lead to a decrease in shearing quality. Therefore, a method is needed to optimize the synchronization of the horizontal speed of the shear blade and the strip speed based on the horizontal speed sequence of the shear blade and the strip speed sequence, thereby effectively improving the shearing quality.

[0004] Therefore, the present application provides a shearing speed control method for a tinplate cross-cutting unit. SUMMARY

[0005] In order to make up for the shortcomings of the prior art and solve at least one technical problem raised in the background art.

[0006] The technical solution adopted by the present application to solve its technical problems is: a shearing speed control method for a tinplate cross-cutting unit, comprising the following steps:

[0007] Obtain the horizontal speed component of the shear blade and the strip speed during the shearing of the tinplate cross-cutting unit at different collection time points, and analyze the synchronization to determine the synchronization of the horizontal speed component of the shear blade and the strip speed during the shearing of the tinplate cross-cutting unit.

[0008] If the synchronization is poor, then analyze the discrete fluctuation of the horizontal speed component of the shear blade and the strip speed during the shearing of the tinplate cross-cutting unit in the running period, determine the adjustment priority of the horizontal speed component of the shear blade and the strip speed of the tinplate cross-cutting unit, and determine whether the horizontal speed component of the shear blade of the tinplate cross-cutting unit needs to be adjusted.

[0009] If so, then analyze the periodicity of the change of the strip speed, determine whether the strip speed has periodic change, and if so, determine the periodic change sequence of the strip speed.

[0010] According to the periodic variation sequence of the strip steel speed and the synchronism between the horizontal speed component of the cutting blade and the strip steel speed, an adjustment sequence of the horizontal speed of the cutting blade is determined.

[0011] Further, the synchronism analysis process is:

[0012] The horizontal speed component of the cutting blade and the strip steel speed at different collection time points in the running period of the tinplate cross-cutting machine are acquired.

[0013] Based on any one collection time point,

[0014] The horizontal speed component of the cutting blade and the strip steel speed at the collection time point are compared.

[0015] According to the comparison result, a non-synchronous time point is identified in the collection time points, a non-synchronous time value and a non-synchronous degree value are processed according to the non-synchronous time point, and a product processing is performed to obtain a non-synchronous performance value.

[0016] If the non-synchronous performance value is less than a non-synchronous performance threshold value, it indicates that the synchronism is good, otherwise, the synchronism is poor.

[0017] Further, the acquisition method of the non-synchronous time value is:

[0018] If the deviation between the horizontal speed component of the cutting blade and the strip steel speed is within a preset error range, it indicates that the horizontal speed component of the cutting blade and the strip steel speed are synchronous, and the collection time point is marked as a synchronous time point.

[0019] If the deviation between the horizontal speed component of the cutting blade and the strip steel speed is not within the preset error range, it indicates that the horizontal speed component of the cutting blade and the strip steel speed are not synchronous, and the collection time point is marked as a non-synchronous time point.

[0020] The number of non-synchronous time points is counted and a ratio processing is performed with the number of collection time points to obtain a non-synchronous time value.

[0021] Further, the acquisition method of the non-synchronous degree value is:

[0022] Based on the non-synchronous time point, the deviation between the horizontal speed component of the cutting blade and the strip steel speed at the non-synchronous time point is acquired, an absolute difference value processing is performed on the deviation and the nearest preset error range endpoint value to obtain a speed absolute deviation at the non-synchronous time point, a proportional calculation is performed on the speed absolute deviation and the preset error range endpoint value to obtain an absolute value of a speed absolute deviation ratio of the non-synchronous time point, the speed absolute deviation ratios of all non-synchronous time points are summed to obtain a mean value, and the mean value is obtained as the non-synchronous degree value.

[0023] Further, the process of the discrete fluctuation analysis is:

[0024] The shear blade horizontal velocity component at different time points in the running period is sequentially aggregated to obtain a shear blade horizontal velocity component sequence;

[0025] The strip steel speed at different time points in the running period is sequentially aggregated to obtain a strip steel speed sequence;

[0026] The deviation ratio and the coefficient of variation are obtained based on the shear blade horizontal velocity component sequence and the strip steel speed sequence;

[0027] The deviation ratio and the coefficient of variation of the shear blade horizontal velocity component sequence are multiplied to obtain an adjustment priority value of the shear blade horizontal velocity component sequence;

[0028] The deviation ratio and the coefficient of variation of the strip steel speed sequence are multiplied to obtain an adjustment priority value of the strip steel speed sequence.

[0029] Further, the coefficient of variation is obtained by proportional calculation of the mean and the standard deviation of the shear blade horizontal velocity component sequence and the strip steel speed sequence, respectively;

[0030] The deviation ratio is obtained by:

[0031] In the sequence, the absolute difference between two adjacent values is calculated and summed to obtain the mean absolute difference, and the mean absolute total difference is obtained by summing the mean absolute difference of the shear blade horizontal velocity component sequence and the strip steel speed sequence, respectively;

[0032] The mean absolute difference and the mean absolute total difference of the shear blade horizontal velocity component sequence and the strip steel speed sequence are respectively calculated by proportional calculation to obtain the deviation ratio of the shear blade horizontal velocity component sequence and the strip steel speed sequence, respectively.

[0033] Further, the process of judging whether the shear blade horizontal velocity component of the tin cross-cutting unit needs to be adjusted is:

[0034] The adjustment priority values of the shear blade horizontal velocity component sequence and the strip steel speed sequence are compared, and if the adjustment priority of the shear blade horizontal velocity component is high, the shear blade horizontal velocity component is adjusted, otherwise the strip steel speed is adjusted.

[0035] Further, the process of periodically analyzing the change of the strip steel speed is:

[0036] The strip steel speed sequence is de-meaned;

[0037] The periodicity of the strip steel speed sequence is determined according to the autocorrelation analysis method, specifically:

[0038] The formula of the autocorrelation function is:

[0039]

[0040] wherein, is the strip speed sequence mean value, N is the strip speed sequence length, k is the lag order, t is the time point;

[0041] Traverse all R(k) values, record k values exceeding the peak value detection threshold, and mark the peak value point corresponding to the k value as an over-peak point;

[0042] Obtain the time interval between adjacent over-peak points, integrate it into a period interval sequence, calculate the standard deviation of the period interval sequence, and if the standard deviation is less than a preset standard deviation, it indicates that the strip speed sequence satisfies X t+T = X t wherein, T is the period value, then the strip speed sequence has periodic variation, otherwise, the strip speed sequence does not have periodic variation.

[0043] Further, the process of determining the periodic variation sequence of the strip speed is:

[0044] If the strip speed sequence has periodic variation, the strip speed sequence is divided into a plurality of strip period short sequences according to the period value T;

[0045] Randomly select any one strip period short sequence as the periodic variation sequence of the strip speed.

[0046] Further, the manner of determining the adjustment sequence of the shear blade horizontal speed is:

[0047] Based on the determined periodic variation sequence of the strip speed, according to a preset error range, determine the shear blade horizontal speed component range corresponding to each strip speed, wherein the shear blade horizontal speed component range: [strip speed-pre-set error, strip speed+pre-set error], based on the shear blade horizontal speed component range corresponding to each strip speed, randomly select shear blade horizontal speed components in the shear blade horizontal speed component range corresponding to different strip speeds respectively, and sequentially group to obtain the adjustment sequence of the shear blade horizontal speed.

[0048] The beneficial effects of the present application are as follows: the horizontal speed component of the cutting blade and the strip speed data at different collection time points are obtained, the synchronization of the horizontal speed component of the cutting blade and the strip speed is judged through synchronization analysis, if the synchronization is poor, the adjustment priority of the horizontal speed component of the cutting blade and the strip speed is determined respectively through discrete fluctuation analysis of the horizontal speed component of the cutting blade and the strip speed in the running period, and it is judged whether the horizontal speed component of the cutting blade needs to be adjusted, if it needs to be adjusted, the periodicity analysis of the change of the strip speed is carried out, it is judged whether the strip speed has periodic change, if it has, the periodic change sequence of the strip speed is determined, the adjustment sequence of the horizontal speed of the cutting blade is determined according to the periodic change sequence of the strip speed and the synchronization of the horizontal speed component of the cutting blade and the strip speed, the synchronization of the horizontal speed component of the cutting blade and the strip speed is quantified through the non-synchronization performance value, the synchronization problem is accurately identified, and the cutting quality is improved, then the adjustment priority of the cutting blade and the strip speed is determined through discrete fluctuation analysis, blind adjustment is avoided, invalid operation is reduced, and the efficiency and accuracy of speed adjustment are improved, for the periodic change of the strip speed, the periodic law is identified through autocorrelation analysis, and the corresponding cutting blade speed adjustment sequence is generated, so that the horizontal speed component of the cutting blade can dynamically adapt to the periodic fluctuation of the strip speed, dynamically match the periodic change of the speed, reduce the continuous error, and solve the problem of controlling the synchronization of the horizontal speed component of the cutting blade and the strip speed during cutting of the tinplate cross-cutting unit, and improve the cutting quality. BRIEF DESCRIPTION OF DRAWINGS

[0049] The present application will be further described below in conjunction with the drawings.

[0050] Fig. 1 is a step flow chart of a cutting speed control method for a tinplate cross-cutting unit according to an embodiment of the present application;

[0051] Fig. 2 is a logic judgment schematic diagram of a cutting speed control method for a tinplate cross-cutting unit according to an embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to make the technical means, creative features, purposes and effects realized by the present application easy to understand, the present application will be further described below in conjunction with specific embodiments.

[0053] Please refer to Figs. 1-2 The cutting speed control method for a tinplate cross-cutting unit according to an embodiment of the present application includes the following steps:

[0054] Step one: obtaining the horizontal speed component of the cutting blade and the strip speed data at different collection time points during cutting of the tinplate cross-cutting unit, and judging the synchronization of the horizontal speed component of the cutting blade and the strip speed during cutting of the tinplate cross-cutting unit through synchronization analysis;

[0055] In step one, the synchronization analysis process of the horizontal velocity component of the cutting blade and the strip speed when the tinplate cross-cutting unit is cutting is as follows:

[0056] The horizontal velocity component of the cutting blade and the strip speed of the tinplate cross-cutting unit at different collection time points in the running period are obtained;

[0057] Based on any one collection time point,

[0058] The horizontal velocity component of the cutting blade and the strip speed at the collection time point are compared;

[0059] If the deviation between the horizontal velocity component of the cutting blade and the strip speed is within the preset error range, it indicates that the horizontal velocity component of the cutting blade and the strip speed are synchronized, and the collection time point is marked as a synchronization time point;

[0060] If the deviation between the horizontal velocity component of the cutting blade and the strip speed is not within the preset error range, it indicates that the horizontal velocity component of the cutting blade and the strip speed are not synchronized, and the collection time point is marked as a non-synchronization time point;

[0061] The number of non-synchronization time points is counted and compared with the number of collection time points to obtain a non-synchronization time value;

[0062] Based on the non-synchronization time point, the deviation between the horizontal velocity component of the cutting blade and the strip speed at the non-synchronization time point is obtained, the absolute difference between the deviation and the endpoint value of the preset error range is processed to obtain the absolute deviation of the speed at the non-synchronization time point, the speed absolute deviation proportion of the non-synchronization time point is obtained by taking the absolute value after the proportional calculation of the speed absolute deviation proportion and the preset error range endpoint value, and the speed absolute deviation proportion of all non-synchronization time points is summed to obtain the non-synchronization degree value;

[0063] The non-synchronization time value and the non-synchronization degree value are multiplied to obtain a non-synchronization performance value;

[0064] In some embodiments, the non-synchronization performance value is compared with a non-synchronization performance threshold value;

[0065] If the non-synchronization performance value is less than the non-synchronization performance threshold value, it indicates that the synchronization of the horizontal velocity component of the cutting blade and the strip speed when the tinplate cross-cutting unit is cutting is good;

[0066] If the non-synchronization performance value is greater than or equal to the non-synchronization performance threshold value, it indicates that the synchronization of the horizontal velocity component of the cutting blade and the strip speed when the tinplate cross-cutting unit is cutting is poor;

[0067] It should be noted that the physical meaning reflected by the asynchronous performance value is that the asynchronous performance value is calculated by the asynchronous time value and the asynchronous degree value, the asynchronous time value reflects the number of time points at which the horizontal speed component of the cutting blade and the strip speed are asynchronous, the more the number of asynchronous time points, the worse the synchronization between the horizontal speed component of the cutting blade and the strip speed, and vice versa. Specifically, the larger the asynchronous performance value, the worse the synchronization between the horizontal speed component of the cutting blade and the strip speed;

[0068] It should also be noted that the purpose of obtaining the asynchronous performance value is that obtaining the asynchronous performance value can identify or understand the synchronization between the horizontal speed component of the cutting blade and the strip speed of the tin cross-cutting machine during shearing, which is beneficial to the identification of shearing abnormalities and the improvement of shearing quality. On the other hand, judging the shearing abnormality through the asynchronous performance value is beneficial to the timely adjustment of the shearing speed of the subsequent tin cross-cutting machine, preventing the expansion of shearing abnormalities and the optimization of subsequent shearing;

[0069] Step two: if the synchronization is poor, then the horizontal speed component of the cutting blade and the strip speed during the shearing of the tin cross-cutting machine in the running period are analyzed for discrete fluctuation, the adjustment priorities of the horizontal speed component of the cutting blade and the strip speed of the tin cross-cutting machine are determined respectively, and it is judged whether the horizontal speed component of the cutting blade of the tin cross-cutting machine needs to be adjusted;

[0070] In step two, the process of analyzing the discrete fluctuation of the horizontal speed component of the cutting blade and the strip speed during the shearing of the tin cross-cutting machine is as follows:

[0071] The horizontal speed component of the cutting blade and the strip speed of the tin cross-cutting machine at different time points in the running period are obtained respectively;

[0072] The horizontal speed component of the cutting blade at different time points in the running period is summarized in time sequence to obtain a sequence of the horizontal speed component of the cutting blade;

[0073] The strip speed at different time points in the running period is summarized in time sequence to obtain a sequence of the strip speed;

[0074] The coefficients of variation of the sequence of the horizontal speed component of the cutting blade and the sequence of the strip speed are calculated respectively;

[0075] The coefficient of variation is obtained by calculating the ratio of the mean value and the standard deviation of the sequence of the horizontal speed component of the cutting blade or the sequence of the strip speed;

[0076] Based on the sequence of the horizontal speed component of the cutting blade and the sequence of the strip speed;

[0077] In the sequence, the absolute difference between two adjacent values is calculated respectively, and the average absolute difference of the sequence of the horizontal velocity component of the cutting blade and the sequence of the strip steel speed is obtained respectively, and the average absolute total difference is obtained by summing up;

[0078] The average absolute difference of the sequence of the horizontal velocity component of the cutting blade and the sequence of the strip steel speed is proportional to the average absolute total difference respectively, and the deviation proportion of the sequence of the horizontal velocity component of the cutting blade and the sequence of the strip steel speed is obtained respectively;

[0079] The deviation proportion of the sequence of the horizontal velocity component of the cutting blade is multiplied by the coefficient of variation to obtain the adjustment priority value of the sequence of the horizontal velocity component of the cutting blade;

[0080] The deviation proportion of the sequence of the strip steel speed is multiplied by the coefficient of variation to obtain the adjustment priority value of the sequence of the strip steel speed;

[0081] It can be understood that the physical meaning of the adjustment priority value is that the adjustment priority value is calculated by multiplying the deviation proportion of the sequence of the horizontal velocity component of the cutting blade or the sequence of the strip steel speed by the coefficient of variation, and the deviation proportion reflects the deviation degree of the horizontal velocity component of the cutting blade and the strip steel speed; The coefficient of variation indicates the size of the standard deviation relative to the mean, and the larger the value, the more intense the fluctuation of the sequence data, and vice versa, the smaller the coefficient of variation, the more concentrated the data; Specifically, the larger the adjustment priority value, the greater the fluctuation of the horizontal velocity component of the cutting blade or the strip steel speed, which needs to be adjusted first; If the adjustment priority value is smaller, the fluctuation of the horizontal velocity component of the cutting blade or the strip steel speed is smaller;

[0082] In step two, the process of judging the adjustment priority of the horizontal velocity component of the cutting blade and the strip steel speed is:

[0083] The adjustment priority values of the sequence of the horizontal velocity component of the cutting blade and the sequence of the strip steel speed are compared;

[0084] If the adjustment priority value of the sequence of the horizontal velocity component of the cutting blade is greater than the adjustment priority value of the sequence of the strip steel speed, it indicates that the adjustment priority of the horizontal velocity component of the cutting blade is high;

[0085] If the adjustment priority value of the sequence of the horizontal velocity component of the cutting blade is equal to the adjustment priority value of the sequence of the strip steel speed, it indicates that the adjustment priority of the horizontal velocity component of the cutting blade and the strip steel speed is equal;

[0086] If the adjustment priority value of the sequence of the horizontal velocity component of the cutting blade is less than the adjustment priority value of the sequence of the strip steel speed, it indicates that the adjustment priority of the strip steel speed is high;

[0087] In step two, the process of judging whether the horizontal velocity component of the cutting blade of the tin transverse cutting machine set needs to be adjusted is:

[0088] If the priority of the adjustment of the horizontal speed component of the cutting blade is high, the horizontal speed component of the cutting blade is adjusted, otherwise, the strip speed is adjusted;

[0089] Step three: If necessary, the periodicity analysis of the change of the strip speed is performed to determine whether the strip speed has periodic change, if yes, the periodic change sequence of the strip speed is determined;

[0090] In step three, the periodicity analysis of the change of the strip speed is performed as follows:

[0091] The strip speed at different time points in the running period is obtained; the obtained strip speed sequence in the running period is collected in time sequence to obtain the strip speed sequence;

[0092] The strip speed sequence is subjected to mean removal processing;

[0093] The mean removal processing is performed as follows: the mean value of the strip speed sequence is calculated, and each data item of the strip speed sequence is subtracted by the mean value of the strip speed sequence, the mean removal processing of the strip speed sequence is completed, and the obtained strip speed sequence is marked as X t , t = 1, 2, 3,..., n;

[0094] The periodicity of the strip speed sequence is determined according to the autocorrelation analysis method;

[0095] The formula of the autocorrelation function is as follows:

[0096]

[0097] Wherein, is the mean value of the strip speed sequence, N is the length of the strip speed sequence, and k is the lag order (k = 0, 1, 2, 3,..., N-1);

[0098] The value of R(k) is obtained; the maximum value of R(k) is calculated as a peak detection threshold; all k values exceeding the peak detection threshold are recorded, and the peak points corresponding to the k values are marked as super-peak points;

[0099] The time interval between adjacent super-peak points is obtained, and is integrated into a period interval sequence; the standard deviation of the period interval sequence is calculated, if the standard deviation is less than a preset standard deviation, it is indicated that the strip speed sequence satisfies X t+T = X t , wherein T is the period value, the strip speed sequence has periodic change, otherwise, the strip speed sequence does not have periodic change;

[0100] For example, when the obtained strip speed sequence is [120, 130, 150, 140, 120, 110, 125, 135, 155, 145, 125, 115, 122, 132, 152, 142, 122, 112, 127, 137, 157, 147, 127, 117], the mean X of the sequence is calculated to be 130, and the mean 130 is subtracted from each data item to complete the mean-free processing of the sequence; according to the formula R(k) of the autocorrelation function: when k = 0, 1, 2, ..., 12, as shown in Table 1 below;

[0101] Table 1: Autocorrelation functions calculated for different lag orders k;

[0102]

[0103] Where R(k) has a maximum value of 0.9, the peak detection threshold is 0.9 × 80%, which is 0.72; the k values ​​exceeding the peak detection threshold are 7, 8, 9, and 12. k = 8 and k = 12 are nearly equally spaced (intervals of 4 and 3), but k = 12 is more significant, so 12 is the periodic value T; check whether the strip speed sequence satisfies X. t+T =X t X1 = X 13 and X 12 =X 24 Therefore, the period of the strip speed sequence is determined to be 12.

[0104] In step three, the process of determining the periodic variation sequence of the strip speed is as follows:

[0105] If the strip speed sequence has a periodic variation, then the strip speed sequence is divided into multiple short strip speed sequences based on the period value T.

[0106] Randomly select any short strip cycle sequence as the periodic variation sequence of strip speed;

[0107] Step 4: Determine the adjustment sequence of the horizontal speed of the shear blade based on the periodic variation sequence of the strip speed and the synchronization between the horizontal speed component of the shear blade and the strip speed.

[0108] In step four, the method for determining the adjustment sequence of the shear blade horizontal speed is as follows:

[0109] Based on a determined periodic variation sequence of strip speed;

[0110] The strip speeds in the periodic variation sequence are numbered sequentially to obtain the first strip speed, the second strip speed, ..., the nth strip speed, where n represents the number of strip speeds in the periodic variation sequence.

[0111] determine a range of the horizontal speed component of the cutting blade corresponding to each strip speed according to the preset error range;

[0112] The range of the horizontal speed component of the cutting blade is [strip speed-pre-set error, strip speed+pre-set error].

[0113] Randomly select the horizontal speed component of the cutting blade in the range of the horizontal speed component of the cutting blade corresponding to each strip speed respectively, and sequentially form an adjustment sequence of the horizontal speed of the cutting blade according to the order.

[0114] For example, when the periodic change sequence of the strip speed is [1, 5, 9] and the preset error range is ±0.2, the range of the horizontal speed component of the cutting blade corresponding to each strip speed is 0.8-1.2, 4.8-5.2 and 8.8-9.2 respectively, and the sequence of the horizontal speed component of the cutting blade is [1.1, 4.9, 9.1] according to the range of the horizontal speed component of the cutting blade.

[0115] The technical scheme of the embodiment of the application is as follows: the horizontal speed component of the cutting blade and the strip speed data at different collection time points are acquired, the synchronization of the horizontal speed component of the cutting blade and the strip speed is judged through synchronization analysis, if the synchronization is poor, the adjustment priority of the horizontal speed component of the cutting blade and the strip speed is determined respectively through discrete fluctuation analysis of the horizontal speed component of the cutting blade and the strip speed in the running period, and it is judged whether the horizontal speed component of the cutting blade needs to be adjusted, if so, the periodicity of the change of the strip speed is analyzed, it is judged whether the strip speed has periodic change, if so, the periodic change sequence of the strip speed is determined, the adjustment sequence of the horizontal speed of the cutting blade is determined according to the periodic change sequence of the strip speed and the synchronization of the horizontal speed component of the cutting blade and the strip speed, the synchronization of the horizontal speed component of the cutting blade and the strip speed is quantified through the non-synchronization performance value, the synchronization problem is accurately identified, and the cutting quality is improved, then the adjustment priority of the cutting blade and the strip speed is determined through discrete fluctuation analysis, blind adjustment is avoided, invalid operation is reduced, and the efficiency and accuracy of speed adjustment are improved, for the periodic change of the strip speed, the periodic law is identified through autocorrelation analysis, and the corresponding adjustment sequence of the cutting blade speed is generated, so that the horizontal speed component of the cutting blade can dynamically adapt to the periodic fluctuation of the strip speed, dynamically match the periodic change of the speed, reduce the continuous error, and solve the problem of controlling the synchronization of the horizontal speed component of the cutting blade and the strip speed during cutting of the tinplate cross-cutting machine, and improve the cutting quality.

[0116] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for controlling the shearing speed of a tinplate cross-cut machine, characterized by: The method comprises the following steps: acquiring the horizontal velocity component of the shear blade and the strip speed of the tin cross-cutting unit at different collection time points, and determining the synchronization of the horizontal velocity component of the shear blade and the strip speed of the tin cross-cutting unit through synchronization analysis; if the synchronization is poor, then the horizontal velocity component of the shear blade and the strip speed of the tin cross-cuting unit in the running period are analyzed for discrete fluctuation, the adjustment priorities of the horizontal velocity component of the shear blade and the strip speed of the tin cross-cutting unit are determined respectively, and it is determined whether the horizontal velocity component of the shear blade of the tin cross-cutting unit needs to be adjusted; if the adjustment is needed, then the periodicity of the change of the strip speed is analyzed, it is determined whether the strip speed has periodic change, and the periodic change sequence of the strip speed is determined if the strip speed has periodic change; the adjustment sequence of the horizontal velocity of the shear blade is determined according to the periodic change sequence of the strip speed and the synchronization of the horizontal velocity component of the shear blade and the strip speed.

2. The shear speed control method for the tin cross-cutting unit according to claim 1, characterized in that: the synchronization analysis process is as follows: acquiring the horizontal velocity component of the shear blade and the strip speed of the tin cross-cutting unit at different collection time points in the running period; comparing the horizontal velocity component of the shear blade and the strip speed at any collection time point; identifying the non-synchronization time points in the collection time points according to the comparison results, obtaining the non-synchronization time value and the non-synchronization degree value according to the non-synchronization time points, and performing product processing to obtain the non-synchronization performance value; if the non-synchronization performance value is less than the non-synchronization performance threshold value, then the synchronization is good, otherwise, the synchronization is poor.

3. The shear speed control method for the tin cross-cutting unit according to claim 2, characterized in that: the acquisition method of the non-synchronization time value is as follows: if the deviation between the horizontal velocity component of the shear blade and the strip speed is within the preset error range, then the horizontal velocity component of the shear blade and the strip speed are synchronized, and the collection time point is marked as a synchronization time point; if the deviation between the horizontal velocity component of the shear blade and the strip speed is not within the preset error range, then the horizontal velocity component of the shear blade and the strip speed are not synchronized, and the collection time point is marked as a non-synchronization time point; the number of non-synchronization time points is counted, and ratio processing is performed on the number of collection time points to obtain the non-synchronization time value.

4. The shear speed control method for the tin cross-cutting unit according to claim 2, characterized in that: the acquisition method of the non-synchronization degree value is as follows: based on the non-synchronization time points, the deviation between the horizontal velocity component of the shear blade and the strip speed at the non-synchronization time points is acquired, the absolute difference value processing is performed on the deviation and the nearest preset error range endpoint value to obtain the speed absolute deviation at the non-synchronization time points, the speed absolute deviation and the preset error range endpoint value are calculated by proportion to obtain the speed absolute deviation proportion of the non-synchronization time points, and the sum of the speed absolute deviation proportions of all non-synchronization time points is taken to obtain the non-synchronization degree value.

5. The shear speed control method for the tin cross-cutting unit according to claim 1, characterized in that: the process of discrete fluctuation analysis is as follows: The shear blade horizontal velocity component sequence is obtained by sequentially collecting the shear blade horizontal velocity components at different time points in the running period; The strip steel speed sequence is obtained by sequentially collecting the strip steel speeds at different time points in the running period; The deviation ratio and the coefficient of variation are obtained by processing based on the shear blade horizontal velocity component sequence and the strip steel speed sequence; The adjustment priority of the shear blade horizontal velocity component sequence is obtained by multiplying the deviation ratio and the coefficient of variation of the shear blade horizontal velocity component sequence; The adjustment priority of the strip steel speed sequence is obtained by multiplying the deviation ratio and the coefficient of variation of the strip steel speed sequence.

6. The shear speed control method for the tinplate cross-cut machine set according to claim 5, characterized in that: The coefficients of variation are obtained by proportional calculation based on the mean value and the standard deviation of the shear blade horizontal velocity component sequence and the strip steel speed sequence, respectively; The deviation ratio is obtained in the following manner: In the sequence, the absolute difference between two adjacent values is calculated and summed to obtain the mean absolute difference, and the mean absolute differences of the shear blade horizontal velocity component sequence and the strip steel speed sequence are summed to obtain the total mean absolute difference; The deviation ratio of the shear blade horizontal velocity component sequence and the strip steel speed sequence is obtained by proportional calculation based on the mean absolute difference and the total mean absolute difference, respectively.

7. The shear speed control method for the tinplate cross-cut machine set according to claim 5, characterized in that: The process of determining whether the shear blade horizontal velocity component of the tinplate cross-cut machine set needs to be adjusted is as follows: The adjustment priorities of the shear blade horizontal velocity component sequence and the strip steel speed sequence are compared, and if the adjustment priority of the shear blade horizontal velocity component is high, the shear blade horizontal velocity component is adjusted, otherwise, the strip steel speed is adjusted.

8. The shear speed control method for the tinplate cross-cut machine set according to claim 1, characterized in that: The process of periodically analyzing the change of the strip steel speed is as follows: The strip steel speed sequence is de-meaned; The periodicity of the strip steel speed sequence is determined according to the autocorrelation analysis method, which is as follows: The formula of the autocorrelation function is as follows: wherein is the strip speed sequence mean value, N is the strip speed sequence length, k is the lag order, and t is the time point; All R(k) values are traversed, and the k values exceeding the peak detection threshold value are recorded, and the peak points corresponding to the k values are marked as super-peak points. The time interval between adjacent super-peak points is obtained, and is integrated into a period interval sequence, the standard deviation of the period interval sequence is calculated, and if the standard deviation is less than a preset standard deviation, it is indicated that the strip steel speed sequence satisfies X t+T = X t , wherein T is a period value, and the strip steel speed sequence has periodic variation, otherwise, the strip steel speed sequence does not have periodic variation.

9. The shear speed control method for the tinplate cross-cut machine set according to claim 8, characterized in that: The process of determining the periodic change sequence of the strip steel speed is as follows: If the strip steel speed sequence has periodic change, the strip steel speed sequence is divided into multiple strip steel periodic short sequences according to the period value T; An arbitrary strip steel periodic short sequence is randomly selected as the periodic change sequence of the strip steel speed.

10. The method of shearing speed control for a tin can horizontal cutting machine group according to claim 1, characterized in that: The adjustment sequence of the shear blade horizontal velocity is determined in the following manner: Based on the determined periodic variation sequence of the strip steel speed, a range of the horizontal speed component of the cutting blade corresponding to each strip steel speed is determined according to a preset error range, wherein the range of the horizontal speed component of the cutting blade is: [strip steel speed - preset error, strip steel speed + preset error], and based on the range of the horizontal speed component of the cutting blade corresponding to each strip steel speed, the horizontal speed component of the cutting blade is randomly selected in the range of the horizontal speed component of the cutting blade corresponding to each strip steel speed respectively, and the horizontal speed component of the cutting blade is sequentially composed to obtain the adjustment sequence of the horizontal speed of the cutting blade.

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