Production control method and system for small steel continuous rolling process

Abstract

The invention relates to the technical field of metallurgical engineering, and discloses a production control method and system for a small steel continuous rolling process, and the method comprises the steps: building an automatic data collection module, an automatic quality detection module, an automatic fault processing module and an automatic production management module, the automatic quality detection module calculates a temperature control fault deviation D1, a speed control fault deviation Gs and a volume value Zdg of actual finished strip steel, and the automatic fault processing module is connected with the automatic data collection module, the automatic quality detection module and the automatic production management module through a network and automatically identifies fault data of the modules. The automatic production management module conducts parameter adjustment on the speed unit, the temperature monitoring unit and the control system unit according to the range of the volume value Zdg of the actual finished strip steel, and therefore the system has the advantage of being sensitive in adjustment reaction while controlling the tension.

Description

Technical Field

[0001] The invention relates to the technical field of metallurgical engineering, and in particular to a production control method and system for a small-scale steel continuous rolling process. Background Art

[0002] In the traditional small-scale steel continuous rolling process, due to the inaccurate tension control and the lag in adjustment response, surface defects such as cracks and wrinkles often occur in the steel during the rolling process, which seriously affects the quality and market competitiveness of the product. In order to solve this problem, advanced production control methods and systems have been introduced. These systems monitor the tension changes of the strip during the rolling process in real time and automatically make precise adjustments to ensure that the strip maintains a stable tension state throughout the rolling process, thereby effectively avoiding the generation of cracks and wrinkles. This intelligent control strategy not only improves the dimensional accuracy and surface quality of the product, but also enhances the adaptive ability of the production line, providing strong technical support for the development of small-scale steel continuous rolling technology. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies in the prior art, the present invention provides a production control method and system for a small-scale steel continuous rolling process, which has the advantages of precise tension control and sensitive adjustment response, and solves the problems of inaccurate tension control and delayed adjustment response in traditional technologies.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solution: a production control method for a small-scale steel continuous rolling process, comprising the following steps:

[0007] Step 1: Establish an automated data collection module, an automated quality inspection module, an automated fault handling module, and an automated production management module;

[0008] Step 2: The automated data collection module is responsible for collecting the data source of the small-scale steel rolling production, and divides the automated control module into a speed unit, a strip size unit, a temperature monitoring unit, and a control system unit;

[0009] Step 3: The automated quality inspection module is divided into a rolling force control unit, a temperature control unit and an adjustment speed response unit, and simultaneously calculates the temperature control fault deviation Dl, the speed control fault deviation Gs and the actual finished strip volume value Zdg;

[0010] Step 4: The automated fault processing module is connected to the automated data collection module, the automated quality inspection module, and the automated production management module through a network, and automatically identifies the fault data of the above modules;

[0011] Step 5: The automated production management module adjusts the parameters of the speed unit, temperature monitoring unit and control system unit according to the volume value Zdg range of the actual finished steel strip.

[0012] Preferably, a production control system for a small-scale steel continuous rolling process comprises an automated data collection module, an automated quality inspection module, an automated fault handling module and an automated production management module;

[0013] The automated data collection module is responsible for collecting the data source of small-scale steel continuous rolling production. The automated control module includes a speed unit, a strip steel size unit, a temperature monitoring unit and a control system unit. The speed control unit obtains speed data through PLC communication, analog input or digital input terminals. The strip steel size unit obtains strip steel size data through an automatic measuring instrument. The temperature monitoring unit obtains temperature monitoring data through a temperature sensor. The control system unit obtains control system data through a monitor, a sensor and a controller. The automated control module includes a speed unit, a strip steel size unit, a temperature monitoring unit and a control system unit connected to the automated quality inspection module through a network;

[0014] The automated quality detection module includes a rolling force control unit, a temperature control unit and a speed adjustment response unit. The temperature control unit calculates a temperature control fault deviation D1 according to temperature monitoring data, and the speed adjustment response unit calculates a speed control fault deviation Gs according to speed data. The rolling force control unit calculates an actual finished strip volume value Zdg according to the temperature control fault deviation D1, the speed control fault deviation Gs, the strip size data and the control system data. The automated quality detection module is connected to the automated fault processing module via a network.

[0015] The automated fault processing module is connected to the automated data collection module, the automated quality inspection module and the automated production management module through a network, and automatically identifies the fault data of the above modules;

[0016] The automated production management module adjusts parameters of the speed unit, the temperature monitoring unit and the control system unit respectively according to the volume value Zdg range of the actual finished steel strip.

[0017] Preferably, the speed control unit numbers the expected speed and the current monitored speed according to the speed data characteristics, and the expected speed is numbered R 1 , R 2 , R 3 ,…R n , the current monitoring speed number is Rr 1 , Rr 2 , Rr 3 ,…Rr n .

[0018] Preferably, the strip size unit numbers the width, thickness and length of the preset strip according to the strip size data characteristics, and the preset strip width, thickness and length are numbered as a, b, d.

[0019] Preferably, the temperature monitoring unit numbers the current monitored temperature and the set temperature according to the temperature monitoring data characteristics, and the current monitored temperature is numbered W. 1 , W 2 , W 3 ,…W n , the set temperature number is Wj 1 、Wj 2 、Wj 3 、…Wj n .

[0020] Preferably, the control system unit numbers the signal conversion influencing factors according to the control system data characteristics, and the signal conversion influencing factors are numbered h.

[0021] Preferably, the speed adjustment response unit calculates the speed control fault deviation Gs according to the speed data, and the calculation formula is:

[0022]

[0023] In the formula, Gs represents the speed control fault deviation, R 1 , R 2 , R 3 ,…R n represents the expected speed, R i represents the statistically i-th expected speed, Rr 1 , Rr 2 , Rr 3 ,…Rr n Indicates the current monitoring speed, Rr i represents the i-th monitoring speed of the statistics, represents the speed deviation, and n represents the number of speed statistics.

[0024] Preferably, the temperature control unit calculates the temperature control fault deviation D1 according to the temperature monitoring data, and the calculation formula is:

[0025]

[0026] In the formula, D1 represents the temperature control fault deviation, W 1 , W 2 , W 3 ,…W n Indicates the current monitored temperature, W i represents the i-th monitored temperature, Wj1 , Wj 2 , Wj 3 , …Wj n represents the set temperature, and Wj i represents the i-th set temperature. represents the temperature deviation, and n represents the number of temperature statistics.

[0027] Preferably, the rolling force control unit calculates the volume value Zdg of the actual finished strip steel according to the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip size data and the control system data, and its calculation formula is:

[0028]

[0029] In the formula, Zdg represents the volume value of the actual finished strip steel, a, b, and d respectively represent the width, thickness and length of the preset strip steel, and a*b*d represents the preset volume value of the finished strip steel. represents the temperature control fault deviation. represents the speed control fault deviation. represents the factor excluding the influence of temperature and speed deviation, and h represents the factor of signal transformation influence. represents the influence factor of hot rolling force.

[0030] Preferably, the automated production management module adjusts the parameters of the speed unit, the temperature monitoring unit and the control system unit respectively according to the range of the volume value Zdg of the actual finished strip steel, and its adjustment process is as follows:

[0031] When Zdg = a*b*d, the influence of the hot rolling force factor on the volume of the actual finished strip steel is excluded;

[0032] When Zdg < a*b*d, the influence of the hot rolling force factor on the volume of the actual finished strip steel is not excluded, and the influence of the hot rolling force is adjusted by controlling the temperature, speed and signal in the strip steel production process, so as to adjust the volume value of the actual finished strip steel to be consistent with the preset volume value of the finished strip steel.

[0033] Compared with the prior art, the present invention provides a production control method and system for a small-section steel continuous rolling process, and has the following beneficial effects:

[0034] 1. The present invention collects the expected speed and the actual monitored speed on the production line through the speed unit, and organizes and numbers the two types of data. Through this numbering method, combined with the calculation of the speed control fault deviation Gs, the difference between the expected value and the actual value can be quickly compared, and the speed control deviation can be accurately found, so that the automated production management module can make corresponding adjustments to the parameters of the speed unit, thereby optimizing the production process. This calculation method helps the system to monitor speed deviations in real time, discover and correct faults in a timely manner, ensure that the production speed meets expectations, and also provide a data basis for the calculation of the actual volume value Zdg of the finished strip.

[0035] 2. The present invention calculates the actual volume value Zdg of the finished steel strip in real time through the rolling force control unit. The formula integrates the preset strip size, temperature and speed control deviations, as well as signal conversion and hot rolling force influencing factors, providing the system with a method that comprehensively considers the impact of production operating conditions on the final product size. This comprehensive consideration adjusts the hot rolling force influence by controlling the temperature, speed and signal in the strip production process, and then combines the automatic fault handling module to monitor data faults in real time, and notifies the staff to handle the fault conditions in time, so that the system can ensure that the expected strip volume can be achieved under different production conditions. At the same time, it can also eliminate the influence of hot rolling force factors on the actual volume of finished steel strip, thereby improving the system's response and adjustment capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the structure of the present invention;

[0037] Figure 2 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 - Figure 2 , a production control method for a small steel continuous rolling process, comprising the following steps:

[0040] Step 1: Establish an automated data collection module, an automated quality inspection module, an automated fault handling module, and an automated production management module;

[0041] Step 2: The automated data collection module is responsible for collecting the data source of the small-scale steel rolling production, and divides the automated control module into a speed unit, a strip size unit, a temperature monitoring unit, and a control system unit;

[0042] Step 3: The automated quality inspection module is divided into a rolling force control unit, a temperature control unit and an adjustment speed response unit, and simultaneously calculates the temperature control fault deviation Dl, the speed control fault deviation Gs and the actual finished strip volume value Zdg;

[0043] Step 4: The automated fault processing module is connected to the automated data collection module, the automated quality inspection module, and the automated production management module through a network, and automatically identifies the fault data of the above modules;

[0044] Step 5: The automated production management module adjusts the parameters of the speed unit, temperature monitoring unit and control system unit according to the volume value Zdg range of the actual finished steel strip.

[0045] A production control system for a small steel continuous rolling process, comprising an automated data collection module, an automated quality inspection module, an automated fault handling module and an automated production management module;

[0046] The automated data collection module is responsible for collecting the data source of small-scale steel continuous rolling production. The automated control module includes a speed unit, a strip size unit, a temperature monitoring unit and a control system unit. The speed control unit obtains speed data through PLC communication, analog input or digital input terminals. The strip size unit obtains strip size data through an automatic measuring instrument. The temperature monitoring unit obtains temperature monitoring data through a temperature sensor. The control system unit obtains control system data through a monitor, sensor and controller. The automated control module includes a speed unit, a strip size unit, a temperature monitoring unit and a control system unit connected to the automated quality inspection module through a network.

[0047] The automated quality detection module includes a rolling force control unit, a temperature control unit and a speed adjustment response unit. The temperature control unit calculates a temperature control fault deviation Dl according to temperature monitoring data, and the speed adjustment response unit calculates a speed control fault deviation Gs according to speed data. The rolling force control unit calculates an actual finished strip volume value Zdg according to the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip size data and the control system data. The automated quality detection module is connected to the automated fault processing module through a network.

[0048] The automated fault processing module is connected to the automated data collection module, the automated quality inspection module and the automated production management module through a network, and automatically identifies the fault data of the above modules;

[0049] The automated production management module adjusts the parameters of the speed unit, temperature monitoring unit and control system unit according to the volume value Zdg range of the actual finished strip steel.

[0050] The speed control unit numbers the expected speed and the current monitored speed according to the speed data characteristics. The expected speed is numbered as R. 1 , R 2 , R 3 ,…R n , the current monitoring speed number is Rr 1 , Rr 2 , Rr 3 ,…Rr n .

[0051] The strip size unit numbers the width, thickness and length of the preset strip according to the strip size data characteristics, and the width, thickness and length of the preset strip are numbered as a, b, and d.

[0052] The temperature monitoring unit numbers the current monitored temperature and the set temperature according to the characteristics of the temperature monitoring data. The current monitored temperature is numbered W. 1 , W 2 , W 3 ,…W n , set the temperature number to Wj 1 、Wj 2 、Wj 3 、…Wj n .

[0053] The control system unit numbers the signal conversion influencing factors according to the control system data characteristics, and the signal conversion influencing factors are numbered as h.

[0054] The speed adjustment response unit calculates the speed control fault deviation Gs according to the speed data, and the calculation formula is:

[0055]

[0056] In the formula, Gs represents the speed control fault deviation, R 1 , R 2 , R 3 ,…R n represents the expected speed, R i represents the statistically i-th expected speed, Rr 1 , Rr 2 , Rr 3 ,…Rr n Indicates the current monitoring speed, Rr i represents the i-th monitoring speed of the statistics, represents the speed deviation, and n represents the number of speed statistics.

[0057] The advantages are: the expected speed and the actual monitored speed on the production line are collected through the speed unit, and the two types of data are sorted and numbered. Through this numbering method, combined with the calculation of the speed control fault deviation Gs, the difference between the expected value and the actual value can be quickly compared, and the speed control deviation can be accurately found, so that the automated production management module can make corresponding adjustments to the parameters of the speed unit, thereby optimizing the production process. This calculation method helps the system to monitor speed deviations in real time, discover and correct faults in a timely manner, ensure that the production speed meets expectations, and provide a data basis for the calculation of the actual volume value Zdg of the finished strip.

[0058] The temperature control unit calculates the temperature control fault deviation Dl according to the temperature monitoring data, and the calculation formula is:

[0059]

[0060] In the formula, D1 represents the temperature control fault deviation, W 1 , W 2 , W 3 ,…W n Indicates the current monitored temperature, W i represents the i-th monitored temperature, Wj 1 、Wj 2 、Wj 3 、…Wj n Indicates the set temperature, Wj i represents the i-th set temperature, Represents temperature deviation, and n represents the number of temperature statistics.

[0061] The advantages are: by regularly calculating the temperature control fault deviation Dl through the temperature control unit, the failure of the temperature control system sensor or the improper adjustment of the control system can be discovered in time. The formula can also be used to evaluate the improvement effect after the adjustment of the parameters of the automated production management module. By comparing the temperature control fault deviation Dl before and after the adjustment, the optimization effect of the control strategy can be quantitatively evaluated. In addition, the formula can provide instant feedback to the system by calculating the temperature control fault deviation Dl in real time, which is helpful for chemical production that requires rapid response. By integrating the above steps into the automatic control system, these deviation values ​​can automatically trigger corresponding control actions, such as adjusting the heating power or changing the cooling settings, thereby realizing rapid self-adjustment of the system, and also providing a data basis for the calculation of the volume value Zdg of the actual finished strip steel.

[0062] The rolling force control unit calculates the actual finished strip volume value Zdg according to the temperature control fault deviation Dl, speed control fault deviation Gs, strip size data and control system data. The calculation formula is:

[0063]

[0064] In the formula, Zdg represents the volume value of the actual finished strip steel, a, b, and d respectively represent the width, thickness, and length of the preset strip steel, and a*b*d represents the preset volume value of the finished strip steel. represents the temperature control fault deviation. represents the speed control fault deviation. represents eliminating the influencing factors of temperature and speed deviation, and h represents the signal transformation influencing factor (the signal transformation influencing factor when data is transmitted to the system during the strip steel production process). represents the hot rolling force influencing factor.

[0065] The advantages are as follows: The rolling force control unit calculates the volume value Zdg of the actual finished strip steel in real time. The formula integrates the preset strip steel dimensions, temperature and speed control deviations, as well as signal transformation and hot rolling force influencing factors, providing a method for the system to comprehensively consider the impact of production operation conditions on the final product dimensions. This comprehensive consideration adjusts the influence of the hot rolling force by controlling the temperature, speed, and signal during the strip steel production process. Combined with the automated fault handling module, it monitors data faults in real time and notifies the staff to handle the fault situation in a timely manner, enabling the system to ensure that the expected strip steel volume can be achieved under different production conditions. At the same time, it can also eliminate the influence of the hot rolling force factor on the volume of the actual finished strip steel, improving the system's response and adjustment ability.

[0066] The automated production management module adjusts the parameters of the speed unit, temperature monitoring unit, and control system unit respectively according to the range of the volume value Zdg of the actual finished strip steel. The adjustment process is as follows:

[0067] When Zdg = a*b*d, the influence of the hot rolling force factor on the volume of the actual finished strip steel is eliminated.

[0068] When Zdg < a*b*d, the influence of the hot rolling force factor on the volume of the actual finished strip steel is not eliminated. Then, the influence of the hot rolling force is adjusted by controlling the temperature, speed, and signal during the strip steel production process, so as to adjust the volume value of the actual finished strip steel to be consistent with the preset volume value of the finished strip steel.

[0069] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A production control method for a small steel continuous rolling process, characterized in that: The following steps are involved: Step 1: Establish an automated data collection module, an automated quality inspection module, an automated fault handling module, and an automated production management module; Step 2: The automated data collection module is responsible for collecting the data source of the small-scale steel rolling production, and divides the automated control module into a speed unit, a strip size unit, a temperature monitoring unit, and a control system unit; Step 3: The automated quality inspection module is divided into a rolling force control unit, a temperature control unit and an adjustment speed response unit, and simultaneously calculates the temperature control fault deviation Dl, the speed control fault deviation Gs and the actual finished strip volume value Zdg; Step 4: The automated fault processing module is connected to the automated data collection module, the automated quality inspection module, and the automated production management module through a network, and automatically identifies the fault data of the above modules; Step 5: The automated production management module adjusts the parameters of the speed unit, temperature monitoring unit and control system unit according to the volume value Zdg range of the actual finished steel strip.

2. A production control system for a small steel continuous rolling process, characterized in that: It includes automated data collection module, automated quality inspection module, automated fault handling module and automated production management module; The automated data collection module is responsible for collecting the data source of small-scale steel continuous rolling production. The automated control module includes a speed unit, a strip steel size unit, a temperature monitoring unit and a control system unit. The speed control unit obtains speed data through PLC communication, analog input or digital input terminals. The strip steel size unit obtains strip steel size data through an automatic measuring instrument. The temperature monitoring unit obtains temperature monitoring data through a temperature sensor. The control system unit obtains control system data through a monitor, a sensor and a controller. The automated control module includes a speed unit, a strip steel size unit, a temperature monitoring unit and a control system unit connected to the automated quality inspection module through a network; The automated quality detection module includes a rolling force control unit, a temperature control unit and a speed adjustment response unit. The temperature control unit calculates a temperature control fault deviation D1 according to temperature monitoring data, and the speed adjustment response unit calculates a speed control fault deviation Gs according to speed data. The rolling force control unit calculates an actual finished strip volume value Zdg according to the temperature control fault deviation D1, the speed control fault deviation Gs, the strip size data and the control system data. The automated quality detection module is connected to the automated fault processing module via a network. The automated fault processing module is connected to the automated data collection module, the automated quality inspection module and the automated production management module through a network, and automatically identifies the fault data of the above modules; The automated production management module adjusts parameters of the speed unit, the temperature monitoring unit and the control system unit respectively according to the volume value Zdg range of the actual finished steel strip.

3. The production control system of a small-scale steel continuous rolling process according to claim 2 is characterized in that: The speed control unit numbers the expected speed and the current monitored speed according to the speed data characteristics, and the expected speed is numbered as R1, R2, R3, ... R n , the current monitored speed numbers are Rr1, Rr2, Rr3, ...Rr n .

4. The production control system of a small-scale steel continuous rolling process according to claim 2 is characterized in that: The strip size unit numbers the width, thickness and length of the preset strip according to the strip size data characteristics, and the width, thickness and length of the preset strip are numbered as a, b, and d.

5. The production control system of a small-scale steel continuous rolling process according to claim 2 is characterized in that: The temperature monitoring unit numbers the current monitored temperature and the set temperature according to the temperature monitoring data characteristics, and the current monitored temperature is numbered as W1, W2, W3, ...W n The set temperatures are numbered Wj1, Wj2, Wj3, ...Wj n .

6. The production control system of a small steel continuous rolling process according to claim 2, characterized in that: The control system unit numbers the signal transformation influencing factors according to the characteristics of the control system data, and the number of the signal transformation influencing factors is h.

7. The production control system of a small steel continuous rolling process according to claim 3 is characterized in that: The adjustment speed response unit calculates the speed control fault deviation Gs according to the speed data, and its calculation formula is: In the formula, Gs represents the speed control fault deviation, R1, R2, R3, ... R n represents the expected speed, R i represents the statistically i-th expected speed, Rr1, Rr2, Rr3, ... Rr n Indicates the current monitoring speed, Rr i represents the i-th monitoring speed of the statistics, represents the speed deviation, and n represents the number of speed statistics.

8. The production control system of a small-scale steel continuous rolling process according to claim 5, characterized in that: The temperature control unit calculates the temperature control fault deviation Dl according to the temperature monitoring data, and its calculation formula is: In the formula, D1 represents the temperature control fault deviation, W1, W2, W3, ... W n Indicates the current monitored temperature, W i represents the i-th monitored temperature, Wj1, Wj2, Wj3, ...Wj n Indicates the set temperature, Wj i represents the i-th set temperature, Represents temperature deviation, and n represents the number of temperature statistics.

9. A production control system for a small-scale steel continuous rolling process according to claim 8, characterized in that: The rolling force control unit calculates the volume value Zdg of the actual finished strip steel according to the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip steel size data and the control system data, and its calculation formula is: In the formula, Zdg represents the actual volume of the finished steel strip, a, b, and d represent the preset width, thickness, and length of the steel strip, respectively, and a*b*d represents the preset volume of the finished steel strip. Indicates temperature control fault deviation, Indicates speed control fault deviation, It means excluding the influencing factors of temperature and speed deviation, h means the influencing factors of signal conversion, Indicates the factors affecting hot rolling force.

10. A production control system for a small-scale steel continuous rolling process according to claim 9, characterized in that: The automatic production management module adjusts the parameters of the speed unit, the temperature monitoring unit and the control system unit respectively according to the range of the volume value Zdg of the actual finished strip steel, and its adjustment process is: When Zdg = a * b * d, the influence of the hot rolling force factor on the volume of the actual finished strip steel is excluded; When Zdg < a * b * d, the influence of the hot rolling force factor on the volume of the actual finished strip steel is not excluded, and the influence of the hot rolling force is adjusted by controlling the temperature, speed and signal in the strip steel production process, so as to adjust the volume value of the actual finished strip steel to be consistent with the preset volume value of the finished strip steel.

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