A production control method and system for a small-scale steel continuous rolling process

By establishing an automated data collection and quality inspection module, the tension in the continuous rolling process of small steel is monitored and adjusted in real time, the problem of inaccurate tension control in traditional processes is solved, and the product quality and the adaptive ability of the production line are improved.

CN119500788BActive Publication Date: 2025-08-05SUQIAN NANGANG JINXIN STEEL ROLLING CO LTD +1
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Patent Information

Application Number
CN202411526806.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-29
Publication Date
2025-08-05
Estimated Expiration
2044-10-29

AI Technical Summary

Technical Problem

Inaccurate tension control and lag adjustment reaction in traditional small steel continuous rolling process lead to surface defects such as cracks and folds during the rolling process of steel, affecting product quality and market competitiveness.

Method used

Establish an automated data collection, quality detection and fault handling module, and automatically adjust the temperature, speed and control system parameters of the strip steel by real-time monitoring and calculating tension changes to ensure a stable tension state.

Benefits of technology

It improves the dimensional accuracy and surface quality of the product, enhances the adaptability of the production line, and ensures the stability of the production process and product quality.

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Abstract

The present invention relates to the technical field of metallurgical engineering, and discloses a production control method and system for a small steel continuous rolling process. An automated data collection module, an automated quality inspection module, an automated fault handling module, and an automated production management module are established. The automated data collection module is responsible for collecting data sources for small steel continuous rolling production. The automated quality inspection module calculates the temperature control fault deviation Dl, the speed control fault deviation Gs, and the volume value Zdg of the actual finished strip steel. The automated fault handling 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 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, so as to achieve the control of the tension by the system and at the same time enable the system to have the advantages of sensitive adjustment and response internally.
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Description

Technical Field

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

[0002] In the traditional small-section steel continuous rolling process, due to inaccurate tension control and lag in adjustment response, surface defects such as cracks and wrinkles often occur in the steel during rolling, seriously affecting the product quality and market competitiveness. To solve this problem, advanced production control methods and systems have been introduced. These systems monitor the tension change of the strip during rolling in real time and automatically make precise adjustments to ensure that the strip maintains a stable tension state throughout the rolling process, thus 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 the small-section steel continuous rolling process. Summary of the Invention

[0003] (I) Technical Problems to be Solved

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

[0005] (II) Technical Solutions

[0006] To achieve the above object, the present invention provides the following technical solutions: A production control method for a small-section 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 sources of small-section steel continuous rolling production, and the automated data collection module is divided 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 volume value Zdg of the actual finished strip;

[0010] Step 4: The automated fault handling 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 respectively according to the volume value Zdg range of the actual finished strip steel.

[0012] Preferably, a production control system for a small-section steel continuous rolling process includes 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 sources of small-section steel continuous rolling production. The automated data collection module includes a speed unit, a strip steel size unit, a temperature monitoring unit, and a control system unit. The speed 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 data collection module, including the speed unit, the strip steel size unit, the temperature monitoring unit, and the control system unit, is connected to the automated quality inspection module through a network;

[0014] The automated quality inspection module includes a rolling force control unit, a temperature control unit, and a speed adjustment response unit. The temperature control unit calculates the temperature control fault deviation Dl based on the temperature monitoring data. The speed adjustment response unit calculates the speed control fault deviation Gs based on the speed data. The rolling force control unit calculates the volume value Zdg of the actual finished strip steel based on the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip steel size data, and the control system data. The automated quality inspection module is connected to the automated fault handling module through a network;

[0015] The automated fault handling 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 the parameters of the speed unit, temperature monitoring unit, and control system unit respectively according to the volume value Zdg range of the actual finished strip steel.

[0017] Preferably, the speed unit numbers the desired speed and the currently monitored speed according to the speed data characteristics. The desired speed numbers are R1, R2, R3,... R n , and the currently monitored speed numbers are Rr1, Rr2, Rr3,... Rr n .

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

[0019] Preferably, the temperature monitoring unit numbers the current monitored temperature and the set temperature according to temperature monitoring data characteristics, and the current monitored temperature numbers are W1, W2, W3, … W n , and the set temperature numbers are Wj1, Wj2, Wj3, … Wj n .

[0020] Preferably, the control system unit numbers the signal transformation influencing factors according to control system data characteristics, and the signal transformation influencing factor number is h.

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

[0022]

[0023] In the formula, Gs represents the speed control fault deviation, R1, R2, R3, … R n represents the desired speed, R i represents the i-th desired speed in statistics, Rr1, Rr2, Rr3, … Rr n represents the current monitored speed, Rr i represents the i-th monitored speed in 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 Dl based on temperature monitoring data, and its calculation formula is:

[0025]

[0026] In the formula, Dl represents the temperature control fault deviation, W1, W2, W3, … W n represents the current monitored temperature, W i represents the i-th monitored temperature, Wj1, Wj2, Wj3, … Wj n represents the set temperature, 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 based on the temperature control fault deviation Dl, the speed control fault deviation Gs, strip size data, and 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 eliminating the influencing factors of temperature and speed deviation, and h represents the signal transformation influencing factor. represents the hot rolling force influencing factor.

[0030] Preferably, 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:

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

[0032] When Zdg < a*b*d, do not eliminate the influence of the hot rolling force factor on the volume of the actual finished strip steel. Instead, adjust the influence of the hot rolling force 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.

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

[0034] 1. The present invention collects the desired speed and the actually monitored speed on the production line through the speed unit, and sorts and numbers these two types of data. Through this numbering method, combined with calculating the speed control fault deviation Gs, it can quickly compare the difference between the expected value and the actual value, accurately find out the deviation of the speed control, so that the automated production management module makes corresponding adjustments to the parameters of the speed unit, thereby optimizing the production process. This calculation method helps the system to monitor the speed deviation in real time, promptly discover and correct faults, ensure that the production speed meets the expectations, and also provides a data basis for calculating the volume value Zdg of the actual finished strip steel.

[0035] 2. The present invention calculates the volume value Zdg of the actual finished strip steel in real time through the rolling force control unit. The formula integrates the preset strip steel size, 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 size. 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 that monitors data faults in real time and notifies the staff to handle the fault conditions in a timely manner, the system can ensure that the expected strip steel volume can be achieved under different production conditions, and at the same time, it can 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. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0037] Figure 2 It is a flowchart of the method steps of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] Please refer to Figure 1 - Figure 2 , a production control method for a small steel continuous rolling process, including 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 sources of small steel continuous rolling production, and the automated data collection module is divided into a speed unit, a strip steel 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 a speed adjustment response unit, and simultaneously calculates the temperature control fault deviation Dl, the speed control fault deviation Gs, and the volume value Zdg of the actual finished strip steel;

[0043] Step 4: The automated fault handling 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 respectively according to the volume value Zdg range of the actual finished strip steel.

[0045] A production control system for a small-section steel continuous rolling process includes 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 sources of small-section steel continuous rolling production. The automated data collection module includes a speed unit, a strip steel size unit, a temperature monitoring unit, and a control system unit. The speed 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 temperature sensors. The control system unit obtains control system data through monitors, sensors, and controllers. The speed unit, strip steel size unit, temperature monitoring unit, and control system unit of the automated data collection module are connected to the automated quality inspection module through a network;

[0047] The automated quality inspection module includes a rolling force control unit, a temperature control unit, and a speed adjustment response unit. The temperature control unit calculates the temperature control fault deviation Dl based on the temperature monitoring data. The speed adjustment response unit calculates the speed control fault deviation Gs based on the speed data. The rolling force control unit calculates the volume value Zdg of the actual finished strip steel based on the temperature control fault deviation Dl, speed control fault deviation Gs, strip steel size data, and control system data. The automated quality inspection module is connected to the automated fault handling module through a network;

[0048] The automated fault handling module is connected to the automated data collection module, automated quality inspection module, and 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 respectively according to the volume value Zdg range of the actual finished strip steel.

[0050] The speed unit numbers the desired speed and the currently monitored speed according to the speed data characteristics. The desired speed numbers are R1, R2, R3,... R n , and the currently monitored speed numbers are Rr1, Rr2, Rr3,... Rr n .

[0051] The strip steel size unit numbers the width, thickness, and length of the preset strip steel according to the strip steel size data characteristics. The width, thickness, and length numbers of the preset strip steel are a, b, 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 numbers of the current monitored temperature are W1, W2, W3, … W n , and the numbers of the set temperature are Wj1, Wj2, Wj3, … Wj n .

[0053] The control system unit numbers the factors affecting signal transformation according to the characteristics of the control system data. The number of the factors affecting signal transformation is h.

[0054] The adjustment speed response unit calculates the speed control fault deviation Gs based on the speed data. Its calculation formula is:

[0055]

[0056] In the formula, Gs represents the speed control fault deviation, R1, R2, R3, … R n represents the expected speed, R i represents the i-th expected speed in statistics, Rr1, Rr2, Rr3, … Rr n represents the current monitored speed, Rr i represents the i-th monitored speed in statistics, represents the speed deviation, and n represents the number of speed statistics.

[0057] The advantages are as follows: By collecting the expected speed and the actually monitored speed on the production line through the speed unit, and sorting and numbering these two kinds of data, through this numbering method, combined with calculating the speed control fault deviation Gs, the difference between the expected value and the actual value can be quickly compared, and the deviation of speed control can be accurately found, so that the automatic production management module can make corresponding adjustments to the parameters of the speed unit, and then optimize the production process. This calculation method helps the system to monitor the speed deviation in real time, discover and correct faults in time, ensure that the production speed meets the expectations, and also provides a data basis for calculating the volume value Zdg of the actual finished strip steel.

[0058] The temperature control unit calculates the temperature control fault deviation Dl based on the temperature monitoring data. Its calculation formula is:

[0059]

[0060] In the formula, Dl represents the temperature control fault deviation, W1, W2, W3, … W n represents the current monitored temperature, W i represents the i-th monitored temperature, Wj1, Wj2, Wj3, … Wj n represents the set temperature, Wj i represents the i-th set temperature, represents the temperature deviation, and n represents the number of temperature statistics.

[0061] The advantages are as follows: By regularly calculating the temperature control fault deviation Dl through the temperature control unit, problems such as sensor failure in the temperature control system or improper adjustment of the control system can be detected in a timely manner. This formula can also be used to evaluate the improvement effect after parameter adjustment of the automated production management module. By comparing the temperature control fault deviation Dl before and after adjustment, the optimization effect of the control strategy can be quantitatively evaluated. Moreover, this 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 quick 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 achieving the rapid self-regulation of the system. At the same time, it also provides 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 volume value Zdg of the actual finished strip steel based on the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip steel size data, and the control system data. The calculation formula is as follows:

[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 deviations, and h represents the signal transformation influencing factor (the signal transformation influencing factor during the data transmission of strip steel production to the system). represents the hot rolling force influencing factor.

[0065] The advantages are as follows: By calculating the volume value Zdg of the actual finished strip steel in real time through the rolling force control unit, the formula integrates the preset strip steel size, 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 influence of production operation conditions on the final product size. This comprehensive consideration regulates the hot rolling force influence by controlling the temperature, speed, and signal during the strip steel production process, and then combines with the automated fault handling module to monitor data faults in real time and notify the staff to handle the fault situation in a timely manner, enabling the system to ensure the expected strip steel volume 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 reaction and regulation ability of the system.

[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 is excluded;

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

[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: It includes the following steps: 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 sources of the small-section steel continuous rolling production, and the automated data collection module is divided 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 a regulating speed response unit, and at the same time calculates the temperature control fault deviation Dl, the speed control fault deviation Gs, and the volume value Zdg of the actual finished strip; Step 4, the automated fault handling module is connected to the automated data collection module, the automated quality inspection module, and the automated production management module through the 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, the temperature monitoring unit, and the control system unit respectively according to the range of the volume value Zdg of the actual finished strip; The speed unit numbers the expected speed and the current monitored speed according to the speed data characteristics. The expected speed numbers are R1, R2, R3, ..., R n , the current monitoring speed number is Rr1, Rr2, Rr3, ... Rr n ; 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 numbers of the preset strip are a, b, and d; The temperature monitoring unit numbers the current monitored temperature and the set temperature according to the temperature monitoring data characteristics. The current monitored temperature is numbered W1, W2, W3, ...W n The set temperatures are numbered Wj1, Wj2, Wj3, ...Wj n ; The control system unit numbers the signal transformation influencing factors according to the control system data characteristics, and the signal transformation influencing factor number is h; The regulating 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 statistical i-th expected speed, Rr1, Rr2, Rr3, ... Rr n Indicates the current monitoring speed, Rr i represents the statistical i-th monitoring speed, represents the speed deviation, and n represents the number of speed statistics; 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, Indicates temperature deviation, n indicates the number of temperature statistics; The rolling force control unit calculates the volume value Zdg of the actual finished strip 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: In the formula, Zdg represents the volume of the actual finished steel strip, a, b, and d represent the preset width, thickness, and length of the steel strip, respectively. A*b*d represents the preset volume of the finished steel strip. Indicates temperature control fault deviation, Indicates speed control fault deviation, Indicates the exclusion of the influencing factors of temperature and speed deviation, h indicates the influencing factors of signal conversion, Indicates the factors affecting hot rolling force; 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, and its adjustment process is: When Zdg = a * b * d, eliminate the influence of the hot rolling force factor on the volume of the actual finished strip; When Zdg < a * b * d, do not eliminate the influence of the hot rolling force factor on the volume of the actual finished strip, then adjust the hot rolling force influence by controlling the temperature, speed, and signal in the strip production process, so as to adjust the volume value of the actual finished strip to be consistent with the preset volume value of the finished strip.

2. A production control system for a small steel continuous rolling process, characterized in that: It includes an automated data collection module, an automated quality inspection module, an automated fault handling module, and an automated production management module; The automated data collection module is responsible for collecting data sources of small-section continuous rolling production. The automated data collection module includes a speed unit, a strip size unit, a temperature monitoring unit, and a control system unit. The speed 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 temperature sensors. The control system unit obtains control system data through monitors, sensors, and controllers. The automated data collection module, including the speed unit, the strip size unit, the temperature monitoring unit, and the control system unit, is connected to the automated quality inspection module through a network; The automated quality inspection module includes a rolling force control unit, a temperature control unit, and an adjusted speed response unit. The temperature control unit calculates the temperature control fault deviation Dl based on the temperature monitoring data. The adjusted speed response unit calculates the speed control fault deviation Gs based on the speed data. The rolling force control unit calculates the volume value Zdg of the actual finished strip based on the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip size data, and the control system data. The automated quality inspection module is connected to the automated fault handling module through a network; The automated fault handling 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 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; The speed unit numbers the expected speed and the current monitored speed according to the speed data characteristics. The expected speed numbers are R1, R2, R3, ..., R n , the current monitoring speed number is Rr1, Rr2, Rr3, ... Rr n ; The strip size unit numbers the width, thickness, and length of the preset strip according to the strip size data characteristics. The width, thickness, and length numbers of the preset strip are a, b, and d; The temperature monitoring unit numbers the current monitored temperature and the set temperature according to the temperature monitoring data characteristics. The current monitored temperature is numbered W1, W2, W3, ...W n The set temperatures are numbered Wj1, Wj2, Wj3, ...Wj n ; The control system unit numbers the signal transformation influencing factors according to the control system data characteristics. The signal transformation influencing factor number is h; The adjusted speed response unit calculates the speed control fault deviation Gs based on the speed data. The 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 statistical i-th expected speed, Rr1, Rr2, Rr3, ... Rr n Indicates the current monitoring speed, Rr i represents the statistical i-th monitoring speed, represents the speed deviation, and n represents the number of speed statistics; The temperature control unit calculates the temperature control fault deviation Dl based on the temperature monitoring data. The 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, Indicates temperature deviation, n indicates the number of temperature statistics; The rolling force control unit calculates the volume value Zdg of the actual finished strip based on the temperature control fault deviation Dl, the speed control fault deviation Gs, the strip size data, and the control system data. The calculation formula is: In the formula, Zdg represents the volume of the actual finished steel strip, a, b, and d represent the preset width, thickness, and length of the steel strip, respectively. A*b*d represents the preset volume of the finished steel strip. Indicates temperature control fault deviation, Indicates speed control fault deviation, Indicates the exclusion of the influencing factors of temperature and speed deviation, h indicates the influencing factors of signal conversion, Indicates the factors affecting hot rolling force; 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. The adjustment process is: When Zdg = a * b * d, the influence of the hot rolling force factor on the volume of the actual finished strip is excluded; When Zdg < a * b * d, the influence of the hot rolling force factor on the volume of the actual finished strip is not excluded. Then, by controlling the temperature, speed, and signal in the strip production process, the influence of the hot rolling force is adjusted, so as to adjust the volume value of the actual finished strip to be consistent with the preset volume value of the finished strip.

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