CN115069791A - Strip steel wave-shaped defect online judgment method and system - Google Patents

Abstract

The invention relates to a strip steel wave-shaped defect online judging method and a strip steel wave-shaped defect online judging system, which comprise the following steps: acquiring flatness data of the strip steel on line to form a flatness data set; analyzing the flatness data set to determine a wave-shaped identification area and wave-shaped defect information of the strip steel; determining the wave-shaped defect type of a specific position of the strip steel and counting the occurrence frequency of each wave-shaped defect type; and determining the defects of the whole strip steel according to the wave lengths between the positions of the wave defect types and the occurrence frequency of each wave defect type at any length position of the strip steel. The technical scheme of the invention solves the problem that the plate shape quality cannot be accurately evaluated and controlled due to the fact that the plate shape wave defect cannot be identified on line in the rolling production of the strip steel, avoids the plate shape cloud chart display defect, can accurately display the actual value of the flatness peak value, avoids the problem of strip steel wave misjudgment, can accurately lock the position of the strip steel wave defect, and effectively quantizes the wave defect.

Description

A method and system for online determination of strip corrugated defects

technical field

The invention belongs to the field of strip steel rolling, and in particular relates to an online determination method and system for strip steel wave shape defects.

Background technique

In the production process of strip steel products, the quality of flatness has always been the focus of attention on site. At present, the statistical technical indicators of strip profile quality basically have a unified quantification standard, which can be calculated online by computer. However, the determination and statistics of strip corrugation defects still need to rely on manual experience, that is, operators or technicians can use the operating room plate shape cloud map. Determine the type of wave defect. Affected by the on-site man-made environment (including lack of experience, inconsistent standard formulation, sense of responsibility, etc.), as well as the influence of the technical defects displayed by the plate cloud map, the accuracy of the strip wave shape judgment method based on manual experience is limited, and the judgment results are not conducive to Statistics and storage are not conducive to on-site scientific and effective solution to the shape quality problem.

At present, there are the following technical defects in the determination of strip corrugation defects: First, the upper limit of the color label of the on-site plate contour map is fixed, only the flatness value range can be displayed, but the true value of flatness cannot be accurately expressed, and the quantification of corrugated defects cannot be carried out, and the Display defects may also lead to artificial misjudgment; second, the current strip wave shape judgment technology based on artificial experience can only realize the judgment of the type of wave shape, but cannot accurately locate the wave shape position and quantify the size of the wave shape defect (wave shape). length, peak flatness, etc.); third, the current strip wave shape determination technology based on manual experience cannot systematically count and record the wave shape determination results, which increases the workload of on-site operators and process leaders.

SUMMARY OF THE INVENTION

In order to overcome the above problems existing in the prior art, the present invention provides an online determination method and system for strip corrugation defects, which are used to solve the above problems existing in the prior art.

An online determination method for strip corrugated defects, comprising the following steps:

S1. Obtain strip flatness data online to form a flatness data set;

S2. Analyze the flatness data set to determine the wave shape identification area and the wave shape defect information of the strip;

S3. Determine the wave defect type at any length position of the strip according to the wave identification area and the wave defect information, and count the number of occurrences of each wave defect type;

S4. Determine the defect of the overall strip according to the wave length between the positions of the wave defect types and the number of occurrences of each wave defect at any length of the strip.

According to the above-mentioned aspect and any possible implementation manner, an implementation manner is further provided. In the S1, the strip flatness data is acquired through an online multi-function meter, a shape meter or a shape control system.

The above aspect and any possible implementation manner further provide an implementation manner, the step S2 determining the wave shape identification area of the strip includes: channeling the flatness data corresponding to each strip length position The number of channels in the flatness data set of the whole coil is counted, and the number of channels with the most frequency is used as the number of channels in the flatness data of the coil, and the wave shape identification area is determined according to the determined number of channels.

The above aspects and any possible implementation manners further provide an implementation manner, wherein determining the wave shape identification area according to the number of channels includes the following steps: firstly determine the positions of the operation side and the transmission side, and for the flatness of 9 channels According to the data, it is stipulated that the three most central channel areas along the width direction of the strip are the middle wave identification area; the two channels on the adjacent sides of the middle wave identification area are the rib wave identification area; The area is the edge wave identification area; for the flatness data of 7 channels, the most central channel area along the width direction of the strip is specified as the middle wave identification area; the two channels on both sides of the middle wave identification area are the rib wave identification area; The two channel areas at the most edge in the width direction of the strip are the edge wave identification area; for the flatness data of 5 channels, the most central channel area along the strip width direction is the middle wave identification area; both sides of the middle wave identification area Each channel is the rib wave identification area, and the two channel areas along the edge of the strip width direction are the edge wave identification areas.

The above-mentioned aspect and any possible implementation manner further provide an implementation manner, the wave-shaped defect information in the S2 includes: the length position of the wave-shaped defect strip, the flatness peak value, the channel corresponding to the flatness peak value, and the determination Proceed as follows:

S21. Determine the maximum flatness of the strip along the width direction at any strip length position in the flatness data set and the corresponding channel number;

S22. Compare the maximum flatness value with the preset flatness threshold value, if the maximum flatness value exceeds the threshold value, it is determined that there is a wave defect;

S23. Lock the strip length position and flatness peak where the wave-shaped defect is located, and the flatness peak corresponds to the channel;

S24. Repeat S22 and S23 until the judgment on the flatness data set of the current overall strip steel ends.

The above aspect and any possible implementation manner further provide an implementation manner, the S3 determines the wave defect type at any length position of the strip according to the wave identification area and the wave defect information, including the following step:

If the locked flatness peak appears in the medium wave identification area, the strip wave shape defect at this length position is judged as medium wave;

If the locked flatness peak appears in the rib wave identification area, first determine the operation side rib wave identification area and the transmission side rib wave identification area according to the position of the operation side and the transmission side; if the locked flatness peak appears in the transmission side rib wave identification area If the maximum flatness value of the rib wave identification area on the operation side exceeds the wave shape threshold, the strip steel wave shape defect at this length position is judged as double rib wave, if it does not exceed the flatness threshold Threshold value, the strip steel wave defect at this length is judged as the transmission side rib wave; if the locked flatness peak value appears in the operation side rib wave identification area, it is necessary to judge whether the maximum flatness value of the transmission side rib wave identification area is If the wave shape threshold is exceeded, if the flatness threshold is exceeded, the strip wave shape defect at this length position is judged as double rib wave; if the flatness threshold value is not exceeded, the strip steel wave shape defect at this length position is judged as the operation side rib wave;

If the locked flatness peak appears in the side wave identification area, first judge the operation side wave identification area and the transmission side wave identification area according to the position of the operation side and the transmission side: if the locked flatness peak appears in the transmission side wave identification area If the maximum flatness value of the operation side wave identification area exceeds the wave shape threshold value, if it exceeds the flatness threshold value, the strip steel wave shape defect at this length position is judged as a double wave shape; if the locked flatness peak value If the flatness threshold is not exceeded, the strip wave shape defect at this length is judged as the transmission side wave; if the locked flatness peak appears in the operation side wave identification area, it is necessary to judge the maximum value of the transmission side wave identification area. Whether the flatness value exceeds the wave shape threshold, if it exceeds the flatness threshold value, the strip steel wave shape defect at this length position is judged as double wave, if it does not exceed the flatness threshold value, then the strip steel wave shape defect at this length position is judged For the operation of side waves.

The above aspects and any possible implementation manners further provide an implementation manner, wherein the wave defect types include: medium waves, operation side unilateral waves, transmission side unilateral waves, double side waves, and operation side rib waves , Drive side rib waves, double rib waves, no wave defects.

The above aspects and any possible implementations further provide an implementation, the S4. according to the wave length between the wave defect types and the occurrence of each wave defect at any length position of the strip steel. Determining the overall defects of the strip includes the following steps:

S41. Calculate the difference between the current wave-shaped defect type and the strip length position of the last wave-shaped defect type;

S42. If the difference between the positions is less than the wave length threshold, the cumulative calculation of the wave length is performed; if the position difference is greater than the wave length threshold, the wave length is reset to zero and recalculated;

S43. Set the wave length states Flag ₁ and Flag _2. Flag ₁ is the status indicator when the wave length exceeds the length threshold, and Flag ₂ is the status indicator when the wave length does not exceed the length threshold. The initial values of the two are 0;

S44. When the wave length exceeds the length threshold, set Flag ₁ =1, and count the number of waves exceeding the wave length threshold:

counter=flag ₁ -flag ₂

In the formula, counter is the number of waves;

After calculating the number of times, set Flag ₂ =1, and count the current wave length.

When the wave length does not exceed the length threshold, the count of the number of waves exceeding the wave length threshold is not turned on, and the wave length status flags Flag ₁ and Flag ₂ keep their initial values;

S45. Repeat the process of S41-S44 until the data statistics of the difference between the positions of the current whole coil of strip steel are completed;

S46. If the number of waves exceeding the wave threshold is greater than 0, the overall wave defect of the strip shall be determined as the wave defect type corresponding to the maximum number of times of each wave defect type counted in S3; If the number of waves is equal to 0, the coil is judged to be free of wave defects.

The invention also provides an online determination system for strip corrugation defects, comprising: a data acquisition module for acquiring strip flatness data online to form a flatness data set;

a first determination module, configured to analyze the flatness data set to determine the wave shape identification area and the wave shape defect information of the strip;

The second determination module is used to determine the wave defect type at any length position of the strip according to the wave identification area and the wave defect information, and count the number of occurrences of each wave defect type;

The third determining module is configured to determine the defects of the overall strip steel according to the wave length between the positions of the wave defect types and the number of occurrences of each wave defect at any length of the strip.

The present invention also provides a computer storage medium, where a computer program is stored on the medium, and the computer program is executed by a processor to realize the online determination method for strip corrugation defects of the present invention.

The beneficial effects of the present invention

Compared with the prior art, the present invention has the following beneficial effects:

1) The technical solution of the present invention solves the problem of inability to accurately evaluate and control the flatness quality caused by the inability to identify the flatness and wave shape defects online in the strip rolling production, avoids the display defects of the flatness cloud image, and can accurately display the flatness The actual value of the peak value avoids the misjudgment of strip wave shape;

2) The technical solution of the present invention can accurately lock the position of the strip corrugated defects, and effectively quantify the corrugated defects;

3) The technical solution of the present invention can effectively reduce the labor intensity of field operators and craftsmen to record the wave defect problem, while realizing the automatic determination of the wave shape, systematically count the wave shape defects, and store the determination results in the database, It is beneficial to the scientific and effective solution of the plate shape problem and has a good application prospect.

Description of drawings

Fig. 1 is the schematic flow chart of the strip steel wave shape online determination method that the embodiment of the present invention provides;

Fig. 2 is the shape cloud map of strip steel plate used in the judgment process in the embodiment of the present invention;

3 is a schematic diagram of a determination rule for a wave identification interval provided by an embodiment of the present invention;

FIG. 4 is a schematic diagram of a wave length statistical algorithm provided by an embodiment of the present invention.

Detailed ways

In order to better understand the technical solution of the present invention, the content of the present invention includes but is not limited to the following specific embodiments, and similar technologies and methods should be regarded as within the protection scope of the present invention. In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

It should be clear that the embodiments described in the present invention are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise.

As shown in Figure 1, the method for online determination of strip corrugated defects provided by the embodiment of the present invention includes:

S1. Acquire the flatness data of the full length of the strip from an online multi-function instrument, a shape meter or a shape control system, and obtain a flatness data set, the flatness data set includes the length of the strip and along the width direction. The flatness value of each channel;

S2. Analyze the flatness data set, and use the flatness data pattern recognition rule to determine the wave shape identification area of the strip and determine the wave shape defect information;

The flatness data pattern recognition rule utilizes the channel data characteristics of the shape meter to automatically determine the number of data channels, and divide the wave shape recognition area according to the number of channels;

The strip corrugated defect information includes strip length position, flatness peak value, and channel corresponding to the flatness peak value;

S3. Determine the wave defect type at a specific position of the strip according to the wave identification area and the wave defect information, and count the number of occurrences of each wave defect type;

S4. Determine the defect of the overall strip according to the wave length between the positions of the wave defect types and the number of occurrences of each wave defect at any length of the strip.

The wave defect types include: medium wave, operation side wave, transmission side wave, double side wave, operation side rib wave, transmission side rib wave, double rib wave, and no wave defect.

Further, in this embodiment, the flatness data pattern recognition rule described in step S2 is used to judge the flatness data corresponding to each strip length position in the flatness data set, determine the number of channels, and count the entire coil of strip steel. The frequency of occurrence of each channel number in the flatness data set, and the channel number with the highest frequency of occurrence is used as the channel number of the strip steel flatness data in this embodiment.

Further, in this embodiment, the flatness data pattern recognition rules are as follows:

Assuming that the maximum number of flatness channels in the width direction of the strip is n, if the flatness data of all channels at a certain length of the strip is normal, the number of channels of strip flatness data at that location is n; if the first channel and the nth If the flatness data of the channel is infinite (or infinitely small), and other channel data is normal, the number of flatness data channels at this location is n-2; if the flatness data of the 2nd channel and the n-1th channel are infinite (or infinitely small), the number of flatness data channels at this location is n-4; and so on.

Further, the determination rule of the wave shape identification area described in step S2 determines the wave shape identification area of the current coiled strip steel and the described wave shape defect information judgment steps are as follows:

B1. Determine the wave shape identification area: First, determine the position of the operation side and the transmission side according to the strip processing device. In this embodiment, the channel numbered 1 is closer to the transmission side, and the channel numbered 9 is closer to the operation side. In this embodiment, the determination of the wave shape identification area is carried out according to the number of channels and the positions of the transmission side and the operation side. For the flatness data of 9 channels in the traditional hot continuous rolling (the strip is wider), it is specified that the most central 3 channels along the width direction of the strip are specified. Each channel area is the middle wave identification area, the two channels on the adjacent sides of the middle wave identification area are the rib wave identification area, and the two channel areas at the most edge in the width direction of the strip are the edge wave identification area; for the flat wave identification area of 7 channels Degree data (the strip is narrower), it is stipulated that the most central channel area along the width direction of the strip is the middle wave identification area, and the two channels on both sides of the middle wave identification area are the rib wave identification area. The two channel areas on the side are the edge wave identification area; for the flatness data of 5 channels (the strip is extremely narrow), the most central channel area along the strip width direction is the middle wave identification area and the middle wave identification area. One channel on each side is the rib wave identification area, and the two channel areas along the most edge of the strip width direction are the edge wave identification area.

B2. Determine whether there is a wave defect: use the maximum flatness maximum recognition algorithm to lock the maximum flatness of the strip along the width direction and the corresponding channel number at any strip length position in the flatness data set. The algorithm is as follows:

Flat _max =max{Flat ₁ ,Flat ₂ ,...,Flat _n } (1)

In the formula, Flat _max is the maximum flatness value of each channel at a certain length of the strip, Flat _i is the flatness value of the i-th channel, that is, the subscript represents the number of channels, n is the maximum number of channels, and the index is the flatness peak corresponding to channel number.

In this embodiment, the maximum flatness value is used to judge whether the strip at the current length position has wave defects. Compare the maximum flatness value with the flatness threshold. If the maximum flatness value exceeds the flatness threshold, the wave defect determination rule will be enabled to determine the wave defect; if the flatness threshold is not exceeded, it will be determined that there is no wave at the length. defect.

B3. If the strip at a certain length is judged to have wave defects, and according to the maximum flatness and the channel number where the maximum flatness is located, lock the length and width of the strip where the flatness peak occurs. The channel number where the flatness maximum is located shall be matched with the channel number of each wave shape identification area, which is used to judge the type of strip wave shape defect.

B4. Repeat B2 and B3 until the current coil flatness data set judgment ends.

Further, in this embodiment, the flatness threshold of plate shape is set as: the flatness threshold of the strip steel whose target thickness interval is [1.2mm, 2.5mm] is 30IU, and IU is the standard unit of flatness; the target thickness interval is The strip flatness threshold of [2.5mm, 6mm] is 25IU; the strip flatness threshold of the target thickness range of [6mm, 26.5mm] is 10IU.

Further, the judging rules of the wave-shaped defect types are as follows:

If the channel where the locked flatness peak is located is located in the medium wave identification area, the strip wave defect at this length is judged as a medium wave.

If the channel where the locked flatness peak is located is in the rib wave identification area, first determine the operation side rib wave identification area and the transmission side rib wave identification area according to the position of the operation side and the transmission side. If the channel where the locked flatness peak is located in the rib wave identification area on the transmission side, it is necessary to judge whether the maximum flatness value of the rib wave identification area on the operation side exceeds the wave shape threshold. The wave defect is judged as the peak double rib wave on the transmission side. If the flatness threshold is not exceeded, the strip steel wave defect at this length position is judged as the rib wave on the transmission side; if the channel where the locked flatness peak is located on the operation side In the rib wave identification area, it is necessary to judge whether the maximum flatness value of the transmission side rib wave identification area exceeds the wave shape threshold. If it exceeds the flatness threshold value, the strip wave shape defect at this length position is judged as the operation side peak double rib wave , if the flatness threshold is not exceeded, the strip wave shape defect at this length position is judged as the operation side rib wave;

If the channel where the locked flatness peak is located is in the side wave identification area, first determine the operation side wave identification area and the transmission side wave identification area according to the position of the operation side and the transmission side. If the channel where the locked flatness peak is located in the transmission side wave identification area, it is necessary to judge whether the maximum flatness value of the operation side wave identification area exceeds the wave shape threshold. The wave defect is judged as the transmission side peak double wave, if the flatness threshold is not exceeded, the strip steel wave defect at this length position is judged as the transmission side wave; if the channel where the locked flatness peak is located is on the operation side In the wave identification area, it is necessary to judge whether the maximum flatness value of the wave identification area on the side of the transmission exceeds the wave shape threshold. If the flatness threshold is not exceeded, the strip wave defect at this length is judged to be an operating side wave.

Further, the method for judging the position of the strip width is as follows:

Uw=w÷Ps (1)

In the formula, Uw represents the width of the strip covered by a single channel, w is the set width of the strip, and Ps is the number of strip channels.

Let the origin of the position coordinates in the width direction of the strip be the center of the strip, and the position coordinates of the strip width where the flatness peak is located can be expressed as follows:

P _lb = (index-n/2-1)Uw (2)

Pub=(index-n/2) _Uw (3)

In the formula, P _1b is the lower limit of the interval where the flatness peak is located, P _ub is the upper limit of the interval where the flatness peak is located, index∈[1,n] is the channel number where the flatness peak is located, and n is the maximum flatness in the width direction of the strip. number of channels.

When the strip is judged to be double-sided or double-sided:

SP _lb = (Ind-n/2-1)Uw (4)

_SPub =(Ind-n/2)Uw(5)

In the formula, SP _1b is the local flatness peak position lower limit of the wave identification area at the symmetrical position of the wave identification area where the flatness peak is located, SP _ub is the local flatness peak of the wave identification area at the symmetrical position of the wave identification area where the flatness peak is located The upper limit of the position, among which, the transmission side wave identification area and the operation side wave identification area are symmetrical positions with each other, and the transmission side rib wave identification area and the operation side rib wave identification area are symmetrical positions with each other. Ind is the local flatness peak channel number of the wave identification area at the symmetrical position of the flatness peak.

In this embodiment, SP _1b and SP _ub are used to determine the positions of the peaks of the wave shape on the transmission side and the operation side of the double-sided wave or double-sided wave in the width direction of the strip.

In this embodiment, the number of occurrences of the types of strip steel defects at any length position of the strip steel is counted.

Further, S4. determine the defect of the overall described strip according to the wave length between the positions of the wave defect types and the number of times that each wave defect occurs at any length position of the strip, and the specific calculation process is as follows:

S41. Calculate the difference between the current wave shape and the length position of the last wave shape strip.

S42. If the position difference is less than the wave length threshold, perform the cumulative calculation of the wave length; if the position difference is greater than the wave length threshold, reset the wave length to zero and recalculate.

S43. Set the wave length states Flag ₁ and Flag _2. Flag ₁ is the status indicator when the wave length exceeds the length threshold, and Flag ₂ is the status indicator when the wave length does not exceed the length threshold. The initial values of the two are 0;

S44. When the wave length exceeds the length threshold, set Flag ₁ =1, and count the number of waves exceeding the wave length threshold:

counter=flag ₁ -flag ₂ (6)

In the formula, counter is the number of waves.

After calculating the number of times, set Flag ₂ =1, and count the current wave length.

When the wave length does not exceed the length threshold, the count of the number of waves exceeding the wave length threshold is not turned on, and the wave length status flags Flag ₁ and Flag ₂ keep their initial values.

S45. Repeat the process of S41-S44 until the data statistics of the difference between the positions of the current whole coil of strip steel are completed.

S46. If the number of waves exceeding the wave threshold is greater than 0, the overall wave defect of the strip shall be determined as the type of wave defect corresponding to the maximum number of times of each wave defect type counted in S3; If the number of waves is equal to 0, the coil is judged to be free of wave defects.

In the method for online determination of strip corrugation defects according to the embodiment of the present invention, the flatness data of the strip is obtained online to form a flatness data set; the flatness data set is analyzed to determine the corrugation identification area of the strip and wave-shaped defect information; then determine the type of wave-shaped defect at a specific position of the strip and count the number of occurrences of each type of wave-shaped defect; The number of occurrences of each wave-shaped defect type at any length location determines the overall defect of the strip.

In this way, the online determination of the wave shape that can quantify the wave shape defects and lock the wave shape position can be realized, and at the same time, the determination accuracy can be increased, the work intensity of the field personnel can be effectively reduced, and the data support for the scientific solution of the shape problem can be provided.

Example

Obtain the flatness data of the full length of a certain strip from an online multi-function instrument, a shape meter or a shape control system. In this embodiment, the flatness data of a certain coil is selected: the camber of the strip is 1545mm, and the length of the strip is 1545mm. is 527.3m, and the strip thickness is 4mm.

The plate cloud diagram of the strip steel in the embodiment is shown in FIG. 2 .

In the aforementioned method for online determination of strip corrugated defects, further, the flatness data pattern recognition rule and the strip corrugated defect determination rule are used to determine the corrugated identification area and corrugated defects, and to lock the location of corrugated defects.

Further, in this embodiment, the flatness data corresponding to each strip length position is used to determine the number of channels, and the frequency of occurrence of each channel in the entire strip data is counted, using the frequency of occurrence. The maximum number of channels is used as the number of channels for the flatness data of this coil.

Further, in this embodiment, the flatness data pattern recognition rule is as follows: assuming that the maximum number of flatness channels in the width direction of the strip is 9, if the flatness data of all channels at a certain length of the strip is normal, then the The number of steel flatness data channels is 9; if the flatness data of the 1st and 9th channels are infinite (or infinitely small), and the data of other channels are normal, the number of flatness data channels at this location is 7; if the 2nd channel and the flatness data of the 8th channel is infinitely large (or infinitely small), then the number of flatness data channels at this location is 5; and so on.

In this embodiment, the number of strip steel channels is finally determined to be 7.

Further, in this embodiment, the determination rule of the wave shape identification area is as follows: first determine the position of the operation side and the transmission side, and for the flatness data of 9 channels of traditional hot continuous rolling (the strip is wider), it is stipulated that the maximum width along the strip width direction is determined. The three channel areas in the center are the middle wave identification area, the two channels on the adjacent sides of the middle wave identification area are the rib wave identification area, and the two channel areas at the most edge in the width direction of the strip are the edge wave identification area; for 7 The flatness data of the channel (the strip is narrower), it is stipulated that the most central channel area along the width direction of the strip is the middle wave identification area, and the two channels on both sides of the middle wave identification area are the rib wave identification area. The two channel areas at the most edge in the width direction are the edge wave identification area; for the flatness data of 5 channels (the strip is extremely narrow), it is specified that the most central channel area along the width direction of the strip is the middle wave identification area. One channel on both sides of the wave identification area is the rib wave identification area, and the two most edge channel areas along the width direction of the strip are the edge wave identification area.

In the aforementioned method for judging wave-shaped defects of strip steel, further, the type of wave-shaped defects at any length position of the strip steel is determined according to the wave-shaped identification area and the information of wave-shaped defects, and the number of occurrences of each type of wave-shaped defects is counted. .

In this embodiment, the number of occurrences of wave-shaped defects at any length of the strip steel is counted as follows: 44 occurrences of middle wave; 0 occurrence of operation side wave; 0 occurrence of transmission side wave; 0 occurrence of bilateral wave The operation side rib wave appeared 0 times; the transmission side rib wave appeared 5 times; the double rib wave appeared 12 times.

In the aforementioned method for online determination of strip corrugated defects, further, the defects of the overall strip are determined according to the length of the strip and the number of occurrences of each type of corrugated defects at any position of the strip.

Further, in this embodiment, the method for judging the wave length of the strip, as shown in Figure 4, is activated when the peak flatness of each channel at any length of the strip exceeds the wave threshold, that is, it is determined that there is a wave at a certain position. The shape defect type will be calculated later.

The process of judging the overall wave shape defect of the strip is as follows:

C1. Calculate the difference in length and position between the current wave defect of the strip and the last wave defect.

C2. If the length of the difference between the positions in C1 is less than the wave length threshold, the cumulative calculation of the wave length is performed; if the difference between the positions in C1 is greater than or equal to the wave length threshold, the wave length will be reset to zero and recalculated.

C3. Set the wave length states Flag ₁ and Flag ₂ , the initial values of which are 0;

C4. When the wave length exceeds the length threshold, set Flag ₁ =1, and count the number of waves exceeding the wave length threshold:

counter=flag ₁ -flag ₂ (6)

In the formula, counter is the number of waves.

After calculating the number of times, set Flag ₂ =1, and count the current wave length.

When the wave length does not exceed the length threshold, Flag ₁ and Flag ₂ keep their initial values.

C5. Repeat the process of C1-C4 until the data statistics of the difference between the positions on the current overall strip are completed.

C6. If the number of waves exceeding the wave threshold is greater than 0, the overall wave defect of the strip shall be determined as the type of wave defect corresponding to the maximum number of times of each wave defect type counted; if the wave defect exceeds the wave threshold If the number of waves is equal to 0, the coil is judged to be free of wave defects. For example, in the judgment of a strip wave type defect, the frequency of wave defects at certain positions of the strip is as follows: 44 times in the middle wave; 0 times in the unilateral wave on the operation side; 1 wave on the transmission side Occurred 0 times; double-sided wave appeared 0 times; operation side rib wave appeared 0 times; transmission side rib wave appeared 5 times; double rib wave appeared 12 times; the length of the first wave was 37.213m, the second wave The length of the second wave is 13.512m, and the wave length longer than 10m appears twice; therefore, the type of wave defect in this coil is finally judged as medium wave.

After the judgment is completed, the program will automatically store the judgment results in the database, which reduces the workload of the on-site staff and is more conducive to the scientific and effective solution of the shape quality problem.

Preferably, the present invention also provides an online determination system for strip corrugation defects, including: a data acquisition module for acquiring strip flatness data online to form a flatness data set; the data acquisition module includes but is not limited to an online Multimeter, shape meter or shape control system.

a first determination module, configured to analyze the flatness data set to determine the wave shape identification area and the wave shape defect information of the strip;

The second determination module is used to determine the wave defect type at any length position of the strip according to the wave identification area and the wave defect information, and count the number of occurrences of each wave defect type;

The third determining module is configured to determine the defects of the overall strip steel according to the wave length between the positions of the wave defect types and the number of occurrences of each wave defect at any length of the strip.

Preferably, the present invention also provides a computer storage medium, where a computer program is stored on the medium, and the computer program is executed by the processor to execute the online determination method for strip corrugation defects of the present invention.

The foregoing description shows and describes several preferred embodiments of the present invention, but as previously mentioned, it should be understood that the present invention is not limited to the form disclosed herein, and should not be construed as an exclusion of other embodiments, but may be used in various various other combinations, modifications and environments, and can be modified within the scope of the concept of the application described herein, using the above teachings or skill or knowledge in the relevant field. However, modifications and changes made by those skilled in the art do not depart from the spirit and scope of the present invention, and should all fall within the protection scope of the appended claims of the present invention.

Claims (10)

1. The strip steel wave-shaped defect online judging method is characterized by comprising the following steps:

s1, acquiring flatness data of strip steel of a plate strip on line to form a flatness data set;

s2, analyzing the flatness data set to determine a wave shape recognition area and wave shape defect information of the strip steel;

s3, determining the wave-shaped defect type of any length position of the strip steel according to the wave-shaped recognition area and the wave-shaped defect information, and counting the occurrence frequency of each wave-shaped defect type;

and S4, determining the defects of the whole strip steel according to the wave length between the positions of the wave defect types and the occurrence frequency of each wave defect at any length position of the strip steel.

2. The strip shape defect online judging method according to claim 1, wherein the strip flatness data is obtained by an online multifunctional gauge, a strip shape gauge or a strip shape control system in S1.

3. The strip steel wave defect online judging method according to claim 1, wherein the step S2 of determining the wave identification area of the strip steel comprises: and judging the number of channels of the flatness data corresponding to the length position of each strip steel, counting the frequency of the number of the channels in the flatness data set of the whole roll of strip steel, taking the number of the channels with the most frequency as the number of the channels of the flatness data of the strip steel, and determining a wave-shaped identification area according to the determined number of the channels.

4. The strip steel wave defect online judging method according to claim 3, wherein the determining the wave identification area according to the number of the channels comprises the following steps: firstly, determining the positions of an operation side and a transmission side, and for the flatness data of 9 channels, defining three channel areas at the most center along the width direction of the strip steel as a Zhonglang identification area; two channels on two adjacent sides of the Zhonglang recognition area are rib-lang recognition areas; two channel areas at the most edge part of the strip steel in the width direction are edge wave identification areas; for the flatness data of 7 channels, a channel area at the center in the width direction of the strip steel is specified as a Zhonglang recognition area; two channels on two sides of the middle wave identification area are rib wave identification areas; two channel areas at the most edge part along the width direction of the strip steel are edge wave identification areas; for the flatness data of 5 channels, a channel area at the center in the width direction of the strip steel is specified as a Zhonglang recognition area; and two channels on two sides of the middle wave identification area are rib wave identification areas, and two channel areas on the most edge part in the width direction of the strip steel are edge wave identification areas.

5. The strip wave defect online judging method according to claim 4, wherein the wave defect information in S2 comprises: the method comprises the following steps of determining the length position and the flatness peak value of the strip steel with the wavy defects, wherein the flatness peak value corresponds to a channel:

s21, determining the flatness maximum value of the strip steel at the length position of any strip steel in the flatness data set along the width direction and the corresponding channel number;

s22, comparing the maximum flatness value with a preset flatness threshold value, and if the maximum flatness value exceeds the threshold value, judging that a wave-shaped defect exists;

s23, locking the length position and the flatness peak value of the strip steel where the wavy defect is located, wherein the flatness peak value corresponds to a channel;

s24, repeating S22 and S23 until the judgment of the flatness data set of the current integral strip steel is finished.

6. The strip steel wave defect online judging method according to claim 5, wherein the step S3 of determining the type of the wave defect at any length position of the strip steel according to the wave identification region and the wave defect information comprises the following steps:

if the locked flatness peak value appears in the middle wave identification area, judging the strip steel wave-shaped defect at the length position as the middle wave;

if the locked flatness peak value appears in the rib wave identification area, firstly, judging the rib wave identification area on the operation side and the rib wave identification area on the transmission side according to the positions of the operation side and the transmission side; if the locked flatness peak value appears in the transmission side rib wave identification area, judging whether the maximum flatness value of the operation side rib wave identification area exceeds a wave-shaped threshold value or not, if so, judging the strip steel wave-shaped defect at the length position to be double rib waves, and if not, judging the strip steel wave-shaped defect at the length position to be the transmission side rib waves; if the locked flatness peak value appears in the operation side rib wave identification area, judging whether the maximum flatness value of the transmission side rib wave identification area exceeds a wave-shaped threshold value or not, and if the maximum flatness value exceeds the flatness threshold value, judging the strip steel wave-shaped defect at the length position as double rib waves; if the flatness threshold is not exceeded, the strip steel wave-shaped defect at the length position is judged as an operation side rib wave;

if the locked flatness peak value appears in the edge wave identification area, the operation side edge wave identification area and the transmission side edge wave identification area are judged according to the positions of the operation side and the transmission side: if the locked flatness peak value appears in the transmission side wave identification area, judging whether the maximum flatness value of the operation side wave identification area exceeds a wave shape threshold value or not, and if the maximum flatness value exceeds the flatness threshold value, judging the strip steel wave shape defect at the length position as double-side waves; if the locked flatness peak value does not exceed the flatness threshold value, the strip steel wave-shaped defect at the length position is judged as the transmission side edge wave; if the locked flatness peak value appears in the operation side wave identification area, whether the maximum flatness value of the transmission side wave identification area exceeds a wave shape threshold value or not is judged, if the maximum flatness value exceeds the flatness threshold value, the strip steel wave shape defect at the length position is judged as double-side waves, and if the maximum flatness value does not exceed the flatness threshold value, the strip steel wave shape defect at the length position is judged as the operation side waves.

7. The strip steel wave defect online judging method according to claim 6, wherein the wave defect type comprises: medium wave, single-side wave on the operation side, single-side wave on the transmission side, double-side wave, rib wave on the operation side, rib wave on the transmission side, double-rib wave and no wave-shaped defects.

8. The method for judging the wave defects of the strip steel on line according to the claim 5, wherein the S4. the step of determining the defects of the whole strip steel according to the wave lengths among the wave defect types and the occurrence frequency of each wave defect at any length position of the strip steel comprises the following steps:

s41, calculating the difference between the length position of the strip steel of the current wave-shaped defect type and the length position of the strip steel of the last wave-shaped defect type;

s42, if the difference of the positions is smaller than a wave length threshold value, carrying out wave length accumulation calculation; if the difference of the positions is larger than the wave-shaped length threshold value, clearing the wave-shaped length for recalculation;

s43, setting wave shape length state Flag ₁ And Flag ₂ ，Flag ₁ For status flags, Flag, when the length of the wave exceeds a length threshold ₂ The state identifier is the state identifier when the wave length does not exceed the length threshold value, and the initial value of the state identifier are 0;

s44, when the length of the wave shape exceeds the length threshold value, making Flag ₁ Count the number of undulations that exceed the undulation length threshold as 1:

counter＝flag ₁ -flag ₂

in the formula, the counter is the wave-shaped times;

after the times are calculated, the Flag is enabled ₂ 1 and counting the current wave length.

When the wave length does not exceed the length threshold, the wave frequency count exceeding the wave length threshold is not started, and the wave length status Flag is set ₁ And Flag ₂ Keeping an initial value;

s45, repeating the processes from S41 to S44 until the position difference data statistics of the current whole roll of strip steel is completed;

s46, if the wave times exceeding the wave threshold value are larger than 0, determining the integral wave defects of the strip steel as the wave defect types corresponding to the maximum value of the wave defect types counted in the S3; and if the wave-shaped times exceeding the wave-shaped threshold value are equal to 0, judging the coiled strip steel to be free of wave-shaped defects.

9. The utility model provides a belted steel wave shape defect online judgement system which characterized in that includes: the data acquisition module is used for acquiring flatness data of the strip steel on line to form a flatness data set;

the first determining module is used for analyzing the flatness data set and determining a wave-shaped recognition area and wave-shaped defect information of the strip steel;

the second determining module is used for determining the wave-shaped defect type of any length position of the strip steel according to the wave-shaped recognition area and the wave-shaped defect information and counting the occurrence frequency of each wave-shaped defect type;

and the third determining module is used for determining the defects of the whole strip steel according to the wave lengths between the positions of the wave defect types and the occurrence frequency of each wave defect at any length position of the strip steel.

10. A computer storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the online determination method for strip wave defect according to any one of claims 1 to 8.

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