Rod and wire full-process size uniformity control method based on big data dynamic regulation and control
The method of controlling the dimensional uniformity of bar and wire rods through dynamic big data regulation solves the problems of dimensional inhomogeneity and quality mishandling in bar and wire rod processing, and achieves stability and precision in the production process.
Patent Information
- Application Number
- CN202511697762.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-19
- Publication Date
- 2026-02-17
AI Technical Summary
Existing bar and wire processing procedures are prone to uneven dimensions, inability to respond to data fluctuations during rolling, and misjudgment of characteristics, leading to incorrect quality handling.
The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation adjusts processing parameters and processes in real time through production line process interference analysis, rolling rhythm dynamic monitoring, guide device wear detection, and bar characteristic influence identification to ensure dimensional uniformity and quality accuracy.
It enables rapid positioning of processing deviations, real-time response to fluctuations in the rolling process, avoids uneven dimensions and quality mishandling, and reduces production costs and material waste.
Smart Images

Figure CN121541593A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of bar wire processing control, in particular to a bar wire full-process size uniformity control method based on big data dynamic regulation. BACKGROUND
[0002] Bar wire refers to a metal strip material with a length greater than the diameter, which is an important product in the metallurgical industry. Bar wire processing refers to the process of producing a strip-shaped metal product with specific cross-sectional size, shape and mechanical properties by physically deforming and quality controlling the billet through a series of processes.
[0003] The patent with publication number CN120595724A discloses a multi-modal intelligent tension self-adaptive control method. This method uses a hybrid model to realize tension prediction and collaborative optimization control of speed and pitch. With the help of edge computing architecture and real-time communication protocol, the data processing and control instruction generation cycle is compressed to within 50ms, improving the system dynamic response capability. At the same time, a hierarchical safety protection mechanism is designed to switch to a robust control mode in milliseconds when the vibration energy exceeds the limit or the temperature is abnormal. The MES system is also connected to push fault codes, significantly improving control accuracy, reducing material loss rate and operation and maintenance complexity, and providing a high-reliability, self-adaptive intelligent solution for high-speed wire processing equipment.
[0004] However, in the prior art, there are still the following technical problems: 1. The bar wire processing flow is not guaranteed, which can cause size unevenness due to process out of control.
[0005] 2. It cannot respond to data fluctuations during rolling, leading to size deviation due to insufficient fixed rhythm adaptability.
[0006] 3. The measures such as measurement correction, process rework, and material replacement lack pertinence, leading to quality misprocessing due to characteristic misjudgment.
[0007] In view of the above technical defects, a solution is proposed. SUMMARY
[0008] The purpose of the present application is to solve the above-mentioned problems by proposing a bar wire full-process size uniformity control method based on big data dynamic regulation.
[0009] The purpose of the present application can be achieved by the following technical solution: a bar wire full-process size uniformity control method based on big data dynamic regulation. The uniformity control method steps are as follows: Step one, production line process interference analysis, by dividing the production line process into change type and non-change type, respectively monitoring the numerical deviation of processing parameters and the distance deviation of position, completing the whole process execution progress analysis of the production line, if it meets the preset progress, it enters step two, otherwise, the production line process control is carried out; Step two, rolling rhythm dynamic monitoring, based on the rolling process execution frequency, conveying frequency and unqualified rate, the rolling rhythm is dynamically set, the rhythm disorder stage is collected, and the stop adjustment or speed adaptation strategy is adopted according to the stage analysis; Step three, guide device wear detection, wear detection is carried out on the guide device, and the production line processing is adjusted according to the wear detection analysis; Step four, bar characteristics influence identification, combining online diameter measurement data, infrared temperature measurement and heating furnace tapping time, the theoretical thickness of iron oxide scale and the size diameter deviation are calculated, and the size diameter measurement accuracy is evaluated according to data processing.
[0010] Further, the step one production line process interference analysis process is as follows: The whole process of the bar and wire rod processing production line is monitored, each process in the processing production line is marked, and the processing of the bar and wire rod is classified according to the process, that is, it is divided into change type process and non-change type process, wherein, the change type process means that the process of the production line changes the shape of the bar and wire rod; the non-change type process means that the process of the production line does not change the shape of the bar and wire rod; the numerical deviation of the actual processing parameter and the preset processing parameter of the change type process is obtained, and the distance deviation of the non-change type process adjusting the bar and wire rod to the preset position and the actual position is obtained, and compared: If the numerical deviation of the actual processing parameter and the preset processing parameter of the change type process exceeds the numerical deviation threshold, or the distance deviation of the non-change type process adjusting the bar and wire rod to the preset position and the actual position exceeds the distance deviation threshold, it is inferred that the current whole process execution of the production line does not meet the preset progress; if the numerical deviation of the actual processing parameter and the preset processing parameter of the change type process does not exceed the numerical deviation threshold, and the distance deviation of the non-change type process adjusting the bar and wire rod to the preset position and the actual position does not exceed the distance deviation threshold, it is inferred that the current whole process execution of the production line meets the preset progress, and enters step two.
[0011] Further, the process of step two, rolling rhythm dynamic monitoring, is as follows: The rolling process in the production line is analyzed, the rolling process execution frequency of the bar and wire rod and the bar and wire rod conveying frequency cooperating therewith are obtained, and the rolling correction parameter of the bar and wire rod is obtained according to the current execution frequency and the cooperating conveying frequency; and the setting range of the current rolling correction parameter is inferred according to the rolling unqualified rate of the rolling line where the bar and wire rod is located, that is, if the current rolling unqualified rate does not exceed the setting red line threshold, the current execution frequency, conveying frequency and correction parameter are summarized and set as the rolling rhythm of the current period; When the rolling line is running at the current rolling pace, if any value in the rolling pace deviates and exceeds the deviation range corresponding to the current pace, the unqualified rate of rolling in the rolling line is recorded. If the unqualified rate value fluctuates, it indicates that the current value is affected by the rolling line; the current time period is marked as a pace disorder stage, otherwise, if the unqualified rate value fluctuates, it indicates that the current pace completes adaptive adjustment; and the current stage is marked as a pace stable control stage.
[0012] Further, the duration of the unqualified rate continuously increasing when the deviation data in the pace disorder stage reciprocally fluctuates is obtained, and the unqualified rate reduction speed after the non-deviation data in the pace disorder stage is adjusted is obtained. If the duration of the unqualified rate continuously increasing when the deviation data in the pace disorder stage reciprocally fluctuates exceeds the duration threshold, or the unqualified rate reduction speed after the non-deviation data in the pace disorder stage is adjusted does not exceed the speed threshold, a quantitative change to qualitative change signal is generated. If the duration of the unqualified rate continuously increasing when the deviation data in the pace disorder stage reciprocally fluctuates does not exceed the duration threshold, and the unqualified rate reduction speed after the non-deviation data in the pace disorder stage is adjusted exceeds the speed threshold, a quantitative change to qualitative change signal is generated.
[0013] Further, the growth frequency of the non-deviation data adjustment span after the deviation data in the pace stable control stage is generated is obtained, and the corresponding processing unqualified rate when the non-deviation data in the pace stable control stage is adjusted is obtained. If the growth frequency of the non-deviation data adjustment span after the deviation data in the pace stable control stage is generated exceeds the growth frequency threshold, or the corresponding processing unqualified rate when the non-deviation data in the pace stable control stage is adjusted is in a non-decreasing trend, a stable control intervention signal is generated; if the growth frequency of the non-deviation data adjustment span after the deviation data in the pace stable control stage is generated does not exceed the growth frequency threshold, and the corresponding processing unqualified rate when the non-deviation data in the pace stable control stage is adjusted is in a decreasing trend, it is inferred that the current pace stable control stage is stable controlled, and step three is entered.
[0014] Further, the process of the guide and guard device wear detection in step three is as follows: In the rolling line continuous running stage, the average wear amount of all positions of the guide surface corresponding to the guide and guard device is obtained, wherein the wear amount is taken as the monitoring parameter; the deviation increase speed of the wear amount corresponding to different positions of the guide surface corresponding to the guide and guard device is obtained; and the average wear amount of all positions of the guide surface corresponding to the guide and guard device and the deviation increase speed of the wear amount corresponding to different positions of the guide surface corresponding to the guide and guard device are compared with the average wear amount threshold and the wear amount increase speed threshold, respectively. If the average wear amount of all positions of the guide surface of the guide device exceeds the average wear amount threshold, a whole deviation signal is generated and sent to the line administrator terminal; if the deviation increase speed of the wear amount of different positions of the guide surface of the guide device exceeds the wear amount increase speed threshold, an angle deviation signal is generated and sent to the line administrator terminal.
[0015] Further, the process of step four bar characteristic influence identification is as follows: According to the type of bar and wire processing flow, the bar and wire reaction products are collected, and the execution time of the corresponding processing flow of the reaction products is recorded, which is set as the product generation time; the original diameter data of the online diameter gauge is obtained, and the bar surface temperature is collected by using an infrared temperature gauge, and the theoretical thickness of the current bar and wire surface iron scale is calculated combined with the time after the heating furnace is tapped; the size and diameter deviation before and after the real-time bar and wire processing is collected, and the size and diameter change amount set by the current processing flow is executed, and the size and diameter deviation amount is calculated according to the difference.
[0016] Further, if the size and diameter deviation amount is positive, and the theoretical thickness of the current bar and wire surface iron scale exceeds the set thickness threshold, a size measurement correction signal is generated and sent to the line administrator terminal; If the size and diameter deviation amount is negative, and the theoretical thickness of the current bar and wire surface iron scale does not exceed the set thickness threshold, a processing flow correction signal is generated and sent to the line administrator terminal; If the size and diameter deviation amount is positive, and the theoretical thickness of the current bar and wire surface iron scale does not exceed the set thickness threshold, it indicates that the size measurement accuracy of the current processing flow is high; If the size and diameter deviation amount is negative, and the theoretical thickness of the current bar and wire surface iron scale does not exceed the set thickness threshold, a material wear signal is generated and sent to the line administrator terminal.
[0017] Compared with the prior art, the beneficial effects of the present application are: 1、The present application divides the line flow into change type and non-change type, respectively monitors the processing parameter value deviation and position distance deviation, can quickly locate the process that does not meet the preset progress, timely controls the parameters to avoid deviation accumulation, and guarantees the stability of the bar and wire processing flow from the source, and reduces the size uneven problem caused by out-of-control flow.
[0018] 2、The present application analyzes the actual production line after completing the production line process interference analysis and without interference, improves the size uniformity control of the rod wire, dynamically sets the rolling rhythm based on the rolling process execution frequency, conveying frequency and unqualified rate, takes the stop adjustment or speed reduction adaptation strategy for the rhythm disorder stage in different scenes, predicts the risk of losing control for the stable control stage and reserves the adjustment space, the dynamic regulation and control mode can respond to the data fluctuation in the rolling process in real time, avoids the size deviation caused by the insufficient adaptability of the fixed rhythm, reduces unnecessary downtime loss, and balances the production efficiency and size uniformity.
[0019] 3、The present application also accurately distinguishes the two problems of overall deviation and angle deviation by monitoring the average wear amount and the wear amount deviation increase speed of the guide device, and correspondingly takes measures such as position movement and guide surface thickness adjustment. The deviation of the rolling body guide track caused by guide wear is effectively avoided, the position accuracy of the rod wire in the rolling process is ensured, and the size unevenness risk caused by guide loss of control is directly reduced.
[0020] 4、The present application combines online diameter measurement data, infrared temperature measurement and heating furnace tapping time to calculate the theoretical thickness of iron oxide scale and size diameter deviation, can clearly distinguish the size measurement accuracy risk, insufficient processing risk and material wear problem, and correspondingly takes measures such as measurement correction, process rework and material replacement, avoids the quality misprocessing caused by characteristic misjudgment, ensures the size accuracy of the rod wire, and reduces the invalid processing cost. BRIEF DESCRIPTION OF DRAWINGS
[0021] In order to facilitate those skilled in the art to understand, the present application will be further described below in conjunction with the drawings.
[0022] Fig. 1 The method logic block diagram of the present application is shown in the figure. Fig. 2 The method execution flow block diagram of the present application is shown in the figure. DETAILED DESCRIPTION
[0023] In order to make those skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0024] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. As will be apparent to those of ordinary skill in the art, embodiments described herein can be combinable with other embodiments.
[0025] Referring to Figs. 1-2 The specific uniformity control method steps are as follows: Step one, production line process interference analysis, by dividing the production line process into change type and non-change type, monitoring the processing parameter value deviation and position distance deviation respectively, the process that does not meet the preset progress can be quickly located; timely control of parameters can avoid deviation accumulation, from the source to ensure the stability of the rod wire processing process, reduce the size unevenness problem caused by process out of control; The processing line of the rod wire is monitored throughout the process, each process in the processing line is marked, and the processing of the rod wire is classified according to the process, that is, divided into change type process and non-change type process, wherein, the change type process means that the process of the production line changes the shape of the rod wire, such as rolling, cutting processing; the non-change type process means that the process of the production line does not change the shape of the rod wire, such as conveying; The value deviation of the actual processing parameter of the change type process and the preset processing parameter of the process is obtained, and the distance deviation of the non-change type process adjusting the rod wire to the preset position and the actual position is obtained, and the value deviation of the actual processing parameter of the change type process and the preset processing parameter of the process, and the distance deviation of the non-change type process adjusting the rod wire to the preset position and the actual position are compared with the value deviation threshold and the distance deviation threshold respectively: If the value deviation of the actual processing parameter of the change type process and the preset processing parameter of the process exceeds the value deviation threshold, or the distance deviation of the non-change type process adjusting the rod wire to the preset position and the actual position exceeds the distance deviation threshold, it is inferred that the current production line process does not meet the preset progress, and the preset parameter and the actual parameter of the current processing line are controlled to ensure that the production line process is in accordance with the preset processing process setting; If the value deviation of the actual processing parameter of the change type process and the preset processing parameter of the process does not exceed the value deviation threshold, and the distance deviation of the non-change type process adjusting the rod wire to the preset position and the actual position does not exceed the distance deviation threshold, it is inferred that the current production line process meets the preset progress, and step two is entered; Step two, dynamic monitoring of rolling rhythm, after completing the interference analysis of the production line process and no interference, the actual production line is analyzed for external factors to improve the size uniformity control of the rod wire; based on the rolling process execution frequency, conveying frequency and unqualified rate, the rolling rhythm is dynamically set, the stop adjustment or speed reduction adaptation strategy is taken for the rhythm disorder stage, and the risk of out-of-control is predicted for the stable control stage and the adjustment space is reserved. This dynamic regulation mode can respond to data fluctuations in the rolling process in real time, avoid size deviation caused by insufficient adaptability of fixed rhythm, reduce unnecessary downtime loss, and balance production efficiency and size uniformity; The rolling process in the production line is analyzed to obtain the rolling process execution frequency of the rod wire and the rod wire conveying frequency matched therewith, and the rolling correction parameters of the rod wire are obtained according to the current execution frequency and the matched conveying frequency, specifically the offset position of the rod wire during rolling and the rolling time float of the rod wire during rolling; and according to the unqualified rate of the rolling line where the rod wire is located, the setting range of the current rolling correction parameter is inferred, that is, if the current unqualified rate does not exceed the set red line threshold, the current execution frequency, conveying frequency and correction parameter are summarized and set as the rolling rhythm of the current period; When the rolling production line is running with the current rolling rhythm, any value in the rolling rhythm deviates and exceeds the deviation range corresponding to the current rhythm, the unqualified rate of the rolling line in the production line is recorded, and if the unqualified rate value fluctuates, it indicates that the current value is affected by the rolling production line; mark the current period as a rhythm disorder stage, obtain the continuous growth duration of the unqualified rate when the deviation data in the rhythm disorder stage fluctuates repeatedly, and obtain the unqualified rate reduction speed after adjusting the non-deviation data in the rhythm disorder stage; If the continuous growth duration of the unqualified rate when the deviation data in the rhythm disorder stage fluctuates repeatedly exceeds the continuous growth duration threshold, or the unqualified rate reduction speed after adjusting the non-deviation data in the rhythm disorder stage does not exceed the reduction speed threshold, it is inferred that the rolling line repair feasibility in the rhythm disorder stage decreases, a quantitative change to qualitative change signal is generated and sent to the production line administrator terminal, the production line administrator terminal stops the rolling line in the current rhythm disorder stage and resets the rolling setting parameters and actual satisfied parameters; If the continuous growth duration of the unqualified rate when the deviation data in the rhythm disorder stage fluctuates repeatedly does not exceed the continuous growth duration threshold, and the unqualified rate reduction speed after adjusting the non-deviation data in the rhythm disorder stage exceeds the reduction speed threshold, it is inferred that the rolling line repair feasibility in the rhythm disorder stage increases, a quantitative change to qualitative change signal is generated and sent to the production line administrator terminal, the production line administrator terminal reduces the speed of the rolling line in the current rhythm disorder stage, adjusts the deviation data in the current rolling rhythm, and cooperatively adjusts the non-deviation data in the same rolling rhythm to stabilize the unqualified rate increase speed in the current stage; Conversely, if the unqualified rate value appears to float, it indicates that the current rhythm completion data is self-adaptively adjusted; and the current stage is marked as a rhythm stable control stage; The growth frequency of the non-biased data adjustment span after the biased data is generated in the rhythm stable control stage is collected, and the corresponding processing unqualified rate when the non-biased data is adjusted is obtained; If the growth frequency of the non-biased data adjustment span after the biased data is generated in the rhythm stable control stage exceeds the growth frequency threshold, or the corresponding processing unqualified rate when the non-biased data is adjusted is in a non-decreasing trend, it is concluded that the current rhythm stable control stage is out of control, a stable control intervention signal is generated and sent to the production line administrator terminal, the production line administrator terminal synchronously intervenes in the deviation cause of the current biased data, reduces the deviation frequency or deviation span of the biased data, and at the same time, the adjustment of the non-biased data is reserved, that is, the actual adjustment span is higher than the data span that needs to be adjusted at the current time; If the growth frequency of the non-biased data adjustment span after the biased data is generated in the rhythm stable control stage does not exceed the growth frequency threshold, and the corresponding processing unqualified rate when the non-biased data is adjusted is in a decreasing trend, it is concluded that the current rhythm stable control stage is stable and controlled, and step three is entered; It needs to be explained that the parameter threshold involved in step two is a parameter artificially set in the bar and wire processing scene to affect the processing efficiency or not; that is, the corresponding type of data is set as qualified data if it does not affect the efficiency, otherwise it is marked as a threshold data; Step three, guide device wear detection, by monitoring the guide device wear amount average and wear amount deviation increase speed, accurately distinguishing between overall deviation and angle deviation two problems, and corresponding taking position moving, guide surface thickness adjusting and other measures; effectively avoiding the deviation of the rolling body guide track caused by guide wear, ensuring the position accuracy of the bar and wire in the rolling process, directly reducing the risk of size unevenness caused by guide out of control; In the rolling production line continuous operation stage, the wear amount average of all positions in the corresponding guide surface of the guide device is obtained, wherein the wear amount is taken as the monitoring parameter; at the same time, the wear amount deviation increase speed of different positions in the corresponding guide surface of the guide device is obtained, wherein the large wear amount deviation will cause the guide device to deviate from the rolling body guide track; And the wear amount average of all positions in the corresponding guide surface of the guide device, and the wear amount deviation increase speed of different positions in the corresponding guide surface of the guide device are compared with the wear amount average threshold and the wear amount increase speed threshold respectively: If the average wear amount of all positions of the corresponding guide surface of the guide device exceeds the average wear amount threshold value, it is inferred that the guide device has a whole shift in the guide track of the corresponding rod wire, a whole shift signal is generated and sent to the production line administrator terminal, after the production line administrator terminal receives it, the guide device is moved at the position during the rolling body guiding, and the rolling body conveying is not affected; If the deviation increase speed of the corresponding wear amount of different positions of the guide surface of the guide device exceeds the wear amount increase speed threshold value, it is inferred that the guide device has an angle shift in the guide track, an angle shift signal is generated and sent to the production line administrator terminal, after the production line administrator terminal receives it, the guide track of the guide device is recorded, and the wear amount of different positions and the rolling body contact surface are collected, according to the rolling body contact surface, the guide surface of the guide device is adjusted, that is, when the guide route is consistent with the set route, the thickness of the guide surface is adjusted, or when the wear amount deviation of the guide surface occurs, the position of the guide device is adjusted to ensure the guide route; Step four, rod property influence identification, combining online diameter measurement data, infrared temperature measurement and heating furnace tapping time, the theoretical thickness of iron oxide scale and size diameter deviation are calculated, which can clearly distinguish the size measurement accuracy risk, insufficient processing risk and material wear problem; targeted measurement correction, process rework, material replacement and other measures are taken to avoid quality misprocessing caused by property misjudgment, which not only ensures the size accuracy of rod wire, but also reduces the invalid processing cost; According to the type of rod wire processing flow, the reaction product of the rod wire is collected, and the execution time of the reaction product corresponding to the processing flow is recorded as the product generation time; through the original diameter data of the online diameter measuring instrument, and using the infrared temperature measuring instrument to collect the surface temperature of the rod, the theoretical thickness of the current rod wire surface iron oxide scale is calculated combined with the time after the heating furnace tapping; The size diameter deviation before and after the real-time rod wire processing and the size diameter change amount set by the current processing flow are collected, and the size diameter deviation amount is calculated according to the difference; If the size diameter deviation amount is positive, and the theoretical thickness of the current rod wire surface iron oxide scale exceeds the set thickness threshold value, it indicates that the current processing flow has a size measurement accuracy risk, a size measurement correction signal is generated and sent to the production line administrator terminal, the production line administrator terminal dynamically corrects the real-time measurement to ensure that the measurement of each rod wire meets the corresponding rod wire material itself; If the size diameter offset is negative and the theoretical thickness of the current rod wire surface oxide scale does not exceed the set thickness threshold, it indicates that the current processing flow has insufficient processing risk, a processing flow correction signal is generated and sent to the production line administrator terminal, the production line administrator terminal corrects the current processing flow, and records the size deviation of the rod wire processing before and after the current processing flow runs, and if the size deviation is too large, the completed processing is reworked, and the unprocessed processing is corrected to ensure the size of the rod wire; If the size diameter offset is positive and the theoretical thickness of the current rod wire surface oxide scale does not exceed the set thickness threshold, it indicates that the size measurement accuracy of the current processing flow is high; If the size diameter offset is negative and the theoretical thickness of the current rod wire surface oxide scale does not exceed the set thickness threshold, the rod wire of the current processing flow is worn, a material wear signal is generated and sent to the production line administrator terminal, the production line administrator terminal controls the size of all rod wires processed on the production line, and if wear occurs, it is replaced.
[0026] The threshold or the preset value, the preset range, etc. are set for result comparison and analysis to determine whether it is good or not, and the size of the value is determined according to the large model analysis of sample data and artificial experience to set the input storage, and can be adjusted appropriately through seasonal or rational influence conditions; And the weight proportion coefficient, the influence factor, etc. are set according to the influence of each parameter on the result, to allocate specific values to finally reflect the influence of the result, which is also set by combining large model analysis of sample data and artificial experience to set input storage, and can be adjusted appropriately through seasonal or rational influence conditions.
[0027] The preferred embodiments of the above disclosed application are only used to help explain the application. The preferred embodiments do not describe all the details and do not limit the application to specific embodiments. Obviously, according to the content of the specification, many modifications and changes can be made. The embodiments are selected and described in detail in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited by the claims and their entire scope and equivalents.
Claims
1. A method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation, characterized in that: The steps of the uniformity control method are as follows: Step 1: Production line process interference analysis. By dividing the production line process into modified and non-modified types, the deviation of processing parameter values and positional distance deviations are monitored respectively to complete the analysis of the execution progress of the entire production line process. If the progress meets the preset requirements, proceed to Step 2; otherwise, production line process control is performed. Step 2: Dynamic monitoring of rolling rhythm. The rolling rhythm is dynamically set based on the execution frequency of the rolling process, the conveying frequency, and the failure rate. The stage of rhythm disorder is collected, and the strategy of stopping the rolling or reducing the speed is adopted according to the stage analysis. Step 3: Wear detection of the guide device. The wear detection of the guide device is carried out, and the production line processing is adjusted according to the wear detection analysis. Step 4: Identify the impact of bar characteristics. Combine online diameter measurement data, infrared temperature measurement, and steel tapping time in the heating furnace to calculate the theoretical thickness of iron oxide scale and the offset of the diameter. Based on the data processing, evaluate the accuracy of the diameter measurement.
2. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 1, characterized in that, The process of interference analysis for the production line in step one is as follows: The entire process of the bar and wire processing line is monitored. Each process step within the line is marked, and the bar and wire processing is categorized based on these steps: modified processes and non-modified processes. Modified processes are those where the process steps alter the shape of the bar or wire; non-modified processes are those where the process steps do not alter the shape. The deviation between the actual processing parameters and the preset processing parameters for modified processes is obtained. Similarly, the deviation between the distance between the preset and actual positions of the bar or wire adjusted to the preset positions for non-modified processes is obtained, and threshold comparisons are performed. If the numerical deviation between the actual processing parameters of the modified process and the preset processing parameters of the process exceeds the numerical deviation threshold, or if the distance deviation between the adjusted bar / wire to the preset position and the actual position in the non-modified process exceeds the distance deviation threshold, it is inferred that the current production line's entire process execution does not meet the preset progress; if the numerical deviation between the actual processing parameters of the modified process and the preset processing parameters of the process does not exceed the numerical deviation threshold, and the distance deviation between the adjusted bar / wire to the preset position and the actual position in the non-modified process does not exceed the distance deviation threshold, it is inferred that the current production line's entire process execution meets the preset progress, and proceed to step two.
3. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 2, characterized in that, The process of dynamic monitoring of rolling rhythm in step two is as follows: The rolling process within the production line is analyzed to obtain the execution frequency of the bar and wire rod rolling process and the corresponding bar and wire rod conveying frequency. Based on the current execution frequency and the corresponding conveying frequency, the bar and wire rod rolling correction parameters are obtained. The setting range of the current rolling correction parameters is inferred based on the rolling failure rate of the bar and wire rod rolling line. That is, if the current rolling failure rate does not exceed the set red line threshold, the current execution frequency, conveying frequency, and correction parameters are summarized and set as the rolling rhythm for the current period. When the rolling production line is operating at the current rolling rhythm, if any value within the rolling rhythm deviates and exceeds the deviation range corresponding to the current rhythm, the rolling failure rate within the production line is recorded. If the failure rate fluctuates, it indicates that the current value is affected by the rolling production line; the current period is marked as the rhythm disorder stage. Conversely, if the failure rate fluctuates, it indicates that the current rhythm has completed data adaptive adjustment; and the current stage is marked as the rhythm stabilization stage.
4. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 3, characterized in that, The duration of continuous increase in the failure rate during the fluctuation of deviation data in the rhythm disorder phase is obtained, and the rate of decrease in the failure rate after adjustment of non-deviation data in the rhythm disorder phase is also obtained. If the duration of continuous increase in the failure rate exceeds the threshold for continuous increase when the deviation data fluctuates repeatedly during the rhythm disorder phase, or if the rate of decrease in the failure rate after adjustment of the non-deviation data does not exceed the threshold for decrease rate during the rhythm disorder phase, then a signal of quantitative change turning into qualitative change is generated. If the duration of continuous increase in the failure rate during the fluctuation of deviation data in the rhythm disorder phase does not exceed the threshold for continuous increase duration, and the rate of decrease in the failure rate after adjustment of non-deviation data in the rhythm disorder phase exceeds the threshold for decrease rate, then a signal indicating a change in quantity is generated.
5. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 4, characterized in that, The frequency of increase in the adjustment span of non-deviation data after the generation of deviation data during the rhythm stabilization phase is collected, and the corresponding processing non-conformity rate is obtained when non-deviation data is adjusted in conjunction with the rhythm stabilization phase. If the growth frequency of the non-deviation data adjustment span exceeds the growth frequency threshold after the deviation data is generated during the rhythm stabilization phase, or if the corresponding processing failure rate is not decreasing when the non-deviation data is adjusted during the rhythm stabilization phase, a stabilization intervention signal is generated; if the growth frequency of the non-deviation data adjustment span does not exceed the growth frequency threshold after the deviation data is generated during the rhythm stabilization phase, and the corresponding processing failure rate is decreasing when the non-deviation data is adjusted during the rhythm stabilization phase, it is inferred that the current rhythm stabilization phase is under stable control, and the process proceeds to step three.
6. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 5, characterized in that, The process of step three, guide device wear detection, is as follows: During the continuous operation of the rolling production line, the average wear amount at all positions within the guide surface corresponding to the guide device is obtained, with wear thickness used as the monitoring parameter. Simultaneously, the rate of increase in wear deviation at different positions on the guide surface corresponding to the guide device is acquired, and the data will be analyzed. If the average wear value of all positions on the guide surface of the guide device exceeds the average wear value threshold, an overall offset signal is generated and sent to the production line administrator terminal; if the rate of increase of wear deviation at different positions on the guide surface of the guide device exceeds the wear increase rate threshold, an angle offset signal is generated and sent to the production line administrator terminal.
7. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 6, characterized in that, Step four, the process of identifying the influence of bar characteristics, is as follows: The reaction products of the bar and wire rod are collected according to the processing flow type, and the execution time of the corresponding processing flow is recorded and set as the product generation time. The original diameter data of the online diameter measuring instrument and the surface temperature of the bar are collected by an infrared thermometer. Combined with the time in the furnace after tapping, the theoretical thickness of the iron oxide scale on the surface of the current bar and wire rod is calculated. The real-time diameter deviation of the bar and wire rod before and after processing and the change in diameter set by the current processing flow are collected, and the diameter offset is calculated based on the difference.
8. The method for controlling the dimensional uniformity of bar and wire rods throughout the entire process based on big data dynamic regulation according to claim 7, characterized in that, If the diameter offset is positive and the theoretical thickness of the iron oxide scale on the surface of the current bar wire exceeds the set thickness threshold, a size measurement correction signal is generated and sent to the production line administrator terminal. If the diameter offset is negative and the theoretical thickness of the iron oxide scale on the surface of the current bar / wire does not exceed the set thickness threshold, a processing correction signal is generated and sent to the production line administrator terminal. If the diameter offset is positive and the theoretical thickness of the iron oxide scale on the surface of the current bar / wire does not exceed the set thickness threshold, it indicates that the current processing flow has high dimensional measurement accuracy. If the diameter offset is negative and the theoretical thickness of the iron oxide scale on the surface of the current bar wire does not exceed the set thickness threshold, a material wear signal is generated and sent to the production line administrator terminal.
Citation Information
Patent Citations
Multi-mode intelligent tension self-adaptive control method
CN120595724A