A continuous acid flat line pickling flow calculation method, system, device and medium

Abstract

The application provides a continuous acid flat line pickling flow calculation method, system, device and medium, and the method comprises the following steps: acquiring the strip steel pickling speed of the current pickling unit in real time, and determining the pickling flow of the main spray beam of the acid flat line; acquiring the real-time temperature of the acid liquid in the pickling tank, and determining the pickling flow temperature coefficient; acquiring the specification parameters of the strip steel to be pickled, and determining the pickling flow pressure coefficient; acquiring the hot rolling coiling temperature, and determining the hot rolling coiling temperature influence coefficient based on a preset temperature influence coefficient table; and calculating the pickling flow of the side spray beam of the acid flat line based on the strip steel pickling speed of the current pickling unit, the pickling flow temperature coefficient, the pickling flow pressure coefficient and the hot rolling coiling temperature influence coefficient. According to different pickling speeds and different steel grades, the application can calculate the corresponding pickling circulation flow, and then control the pickling circulation flow, accurately control the concentration and spraying pressure of the acid liquid in the acid tank, and ensure the stability of the pickling surface quality and iron loss of the hot rolled strip steel.

Description

Technical Field

[0001] This invention relates to the field of metallurgical automation technology, and more specifically to a method, system, device, and medium for calculating the pickling flow rate of a continuous acid washing line. Background Technology

[0002] Currently, based on the hot rolling process of endless rolling, the raw strip steel has excellent thickness and frequent thickness changes; the continuous pickling line has loopers at the inlet and outlet to ensure continuous operation of the pickling section. The acid circulation system is designed as a four-stage pickling system with four acid tanks. Each acid tank has 40m³ of acid solution. The acid circulation pump provides acid solution of different concentrations and temperatures to the acid tank for pickling the iron oxide scale on the surface of the hot-rolled strip steel.

[0003] However, due to variations in specifications and factors such as inlet and outlet scrap welding, the actual pickling speed fluctuates between 60-400 m / min during operation. When the pickling speed differs, the pickling time for the strip in each pickling tank varies, resulting in slow adjustments to acid temperature and concentration. This leads to significant differences in the surface quality and iron loss of the pickled strip; high speeds may result in low iron loss and under-pickling, while low speeds may result in high iron loss and over-pickling. Furthermore, different hot-rolling coiling temperatures result in variations in the structure and thickness of the iron oxide scale on the strip, which also affects the surface quality and iron loss during pickling.

[0004] For example, when the acid system of a continuous pickling line is designed to only consider the influence of acid temperature and concentration on strip pickling, without taking into account the slow adjustment of acid temperature and concentration due to changes in pickling speed and steel grade during the pickling process, the pickling concentration and temperature are based on the maximum unit speed of 400 m / min. The specific acid temperature control parameters are: 1# -80℃, 2# -80℃, 3# -78℃, 4# -78℃, with fluctuations controlled to ≤2℃; the specific acid concentration control parameters are: 1# -50 g / ml, 1# -90 g / ml, 1# -130 g / ml, 1# -170 g / ml, with fluctuations controlled to ≤10 g / ml; the acid circulation flow rate is 180 m³ / h. After operating according to the above control parameters, when the raw material strip pickling speed is 60-400 m / min, slight over-pickling occurs on the surface of the pickled strip, resulting in high iron loss, reaching as high as 1.5%.

[0005] Therefore, how to dynamically determine the pickling cycle based on the pickling speed and the type of steel being pickled, in order to ensure the surface quality and iron loss stability of hot-rolled strip steel after pickling, is a problem that we urgently need to solve. Summary of the Invention

[0006] To address the above problems, the present invention aims to provide a method, system, device, and medium for calculating pickling flow rate in a continuous pickling line. This method can calculate the corresponding pickling circulation flow rate based on different pickling speeds and different steel grades. By controlling the pickling circulation flow rate, the concentration of acid in the pickling tank and the spray pressure can be accurately controlled, thus ensuring the stability of the pickling surface quality and iron loss of hot-rolled strip steel.

[0007] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention discloses a method for calculating the continuous acid washing flow rate, comprising: The pickling speed of the strip steel in the current pickling unit is obtained in real time, and the pickling flow rate of the main spray beam of the pickling line is determined based on the pickling speed of the strip steel. Obtain the real-time temperature of the acid solution in the pickling tank and determine the temperature coefficient of the pickling flow rate. Obtain the specifications of the strip steel to be pickled, and determine the pickling flow rate and pressure coefficient based on the current pickling speed of the pickling unit. Obtain the hot-rolled coiling temperature, and determine the hot-rolled coiling temperature influence coefficient based on the preset temperature influence coefficient table and the temperature range to which the hot-rolled coiling temperature belongs. The pickling flow rate of the side spray beam of the pickling line is calculated based on the current pickling unit's strip pickling speed, pickling flow rate temperature coefficient, pickling flow rate pressure coefficient, and hot rolling coiling temperature influence coefficient.

[0008] Furthermore, the real-time acquisition of the current strip pickling speed of the pickling unit, and the determination of the pickling flow rate of the main spray beam of the pickling line based on the strip pickling speed, includes: Get the current strip pickling speed VS of the pickling unit; According to the formula Calculate the pickling flow rate of the main spray beam of the acid leveling line. .

[0009] Furthermore, the step of obtaining the real-time temperature of the acid solution in the pickling tank and determining the pickling flow rate temperature coefficient includes: Obtain the real-time temperature of the acid solution in the pickling tank. ; According to the formula Calculate the pickling flow rate temperature coefficient .

[0010] Furthermore, the specifications of the strip steel to be pickled include: the thickness and width of the strip steel to be pickled.

[0011] Furthermore, the step of obtaining the specifications of the strip steel to be pickled and determining the pickling flow rate and pressure coefficient based on the current pickling speed of the pickling unit includes: Obtain the width L and thickness Th of the strip steel to be pickled; According to the formula Calculate the pickling flow rate and pressure coefficient .

[0012] Furthermore, the acquisition of the hot-rolled coiling temperature, based on a preset temperature influence coefficient table, determines the hot-rolled coiling temperature influence coefficient according to the temperature range to which the hot-rolled coiling temperature belongs, including: Obtain the hot-rolled coiling temperature T, and determine the hot-rolled coiling temperature influence coefficient K according to the temperature range to which T belongs in the preset temperature influence coefficient table; When T≤610℃, K is 0.35; When 610℃<T≤680℃, K is 0.45; When 680℃<T≤720℃, K is 0.55; When T > 720℃, K is 0.70.

[0013] Furthermore, the calculation of the pickling flow rate of the side spray beam of the pickling line based on the current pickling unit's strip pickling speed, pickling flow rate temperature coefficient, pickling flow rate pressure coefficient, and hot rolling coiling temperature influence coefficient includes: According to the formula Calculate the pickling flow rate of the side spray beam of the acid leveling line. ; in, The coefficient representing the influence of hot rolling coiling temperature. This is the temperature coefficient of the pickling flow rate. This represents the pickling flow rate and pressure coefficient. This represents the current pickling speed of the steel strip in the pickling unit.

[0014] Secondly, the present invention also discloses a continuous acid washing flow rate calculation system, comprising: The main spray beam pickling flow rate determination module is configured to obtain the current strip pickling speed of the pickling unit in real time, and determine the pickling flow rate of the main spray beam of the pickling line based on the strip pickling speed. The pickling flow rate temperature coefficient determination module is configured to obtain the real-time temperature of the acid solution in the pickling tank and determine the pickling flow rate temperature coefficient. The pickling flow rate and pressure coefficient determination module is configured to obtain the specification parameters of the strip steel to be pickled and determine the pickling flow rate and pressure coefficient based on the pickling speed of the strip steel in the current pickling unit. The module for determining the influence coefficient of coiling temperature is configured to obtain the hot-rolled coiling temperature and determine the influence coefficient of hot-rolled coiling temperature based on the preset temperature influence coefficient table and the temperature range to which the hot-rolled coiling temperature belongs. The side spray beam pickling flow calculation module is configured to calculate the pickling flow of the side spray beam of the pickling line based on the strip pickling speed, pickling flow temperature coefficient, pickling flow pressure coefficient and hot rolling coiling temperature influence coefficient of the current pickling unit.

[0015] Thirdly, the present invention also discloses a continuous acid washing flow rate calculation device, comprising: The memory is used to store the continuous acid washing flow calculation program; The processor is configured to implement the steps of the continuous acid washing flow calculation method described above when executing the continuous acid washing flow calculation program.

[0016] Fourthly, the present invention also discloses a readable storage medium storing a continuous acid leveling pickling flow rate calculation program, wherein when the continuous acid leveling pickling flow rate calculation program is executed by a processor, it implements the steps of the continuous acid leveling pickling flow rate calculation method as described in any of the above claims.

[0017] Compared with existing technologies, the advantages of this invention are as follows: This invention discloses a method, system, device, and medium for calculating the pickling flow rate of a continuous pickling line. It can effectively calculate the flow rate of the main spray beam and side spray beam in a four-stage pickling tank during strip pickling, enabling control of the spray flow rate to accommodate variations in thickness, width, and steel grade during pickling, and achieving the construction of a high-efficiency, low-cost pickling model. This invention can calculate the corresponding pickling circulation flow rate based on different pickling speeds and steel grades. Furthermore, by controlling the pickling circulation flow rate, it accurately controls the concentration and spray pressure of the acid solution in the pickling tank, ensuring the stability of the surface quality and iron loss of hot-rolled strip pickling.

[0018] Therefore, it is evident that the present invention has outstanding substantive features and significant progress compared with the prior art, and the beneficial effects of its implementation are also obvious. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating a specific embodiment of the present invention.

[0021] Figure 2 This is a system structure diagram of a specific embodiment of the present invention.

[0022] In the diagram: 1. Main spray beam pickling flow rate determination module; 2. Pickling flow rate temperature coefficient determination module; 3. Pickling flow rate pressure coefficient determination module; 4. Coiling temperature influence coefficient determination module; 5. Side spray beam pickling flow rate calculation module. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] See Figure 1 As shown in the figure, this embodiment provides a method for calculating the pickling flow rate of a continuous acid leveling line, including the following steps: S1: Real-time acquisition of the current strip pickling speed of the pickling unit, and determination of the pickling flow rate of the main spray beam of the pickling line based on the strip pickling speed.

[0025] In a specific implementation, firstly, the strip pickling speed VS of the current pickling unit is obtained; then, according to the formula... Calculate the pickling flow rate of the main spray beam of the acid leveling line. .

[0026] S2: Obtain the real-time temperature of the acid solution in the pickling tank and determine the temperature coefficient of the pickling flow rate.

[0027] In a specific implementation, the flow rate of the side spray beam directly affects the frequency of acid replacement. When pickling raw steel strip, if the acid temperature varies, the flow rate is adjusted to fit the pickling flow rate-temperature coefficient. Specifically, the real-time temperature of the acid in the pickling tank is first obtained. Then according to the formula Calculate the pickling flow rate temperature coefficient (m³ / h). .

[0028] S3: Obtain the specifications of the strip steel to be pickled, and determine the pickling flow rate and pressure coefficient based on the current pickling speed of the pickling unit. The specifications of the strip steel to be pickled include its thickness and width.

[0029] In a specific implementation, changes in the thickness, width, and pickling speed of the raw strip will lead to variations in the acid temperature and concentration. Therefore, a pickling pressure coefficient is established. First, the width L and thickness Th of the strip to be pickled are obtained; then, according to the formula... Calculate the pickling flow rate and pressure coefficient .

[0030] S4: Obtain the hot-rolled coiling temperature. Based on the preset temperature influence coefficient table, determine the hot-rolled coiling temperature influence coefficient according to the temperature range to which the hot-rolled coiling temperature belongs.

[0031] In a specific implementation, since the structure of the iron oxide scale of the hot-rolled raw material is different when the hot rolling coiling temperature is different, and the consumption of acid solution during pickling is different when the iron oxide scale thickness is different, the influence coefficient K of the hot rolling coiling temperature of the raw material is determined.

[0032] Specifically, by obtaining the hot rolling coiling temperature T, the influence coefficient K of the hot rolling coiling temperature is determined in the table below according to the temperature range to which T belongs.

[0033]

[0034] Table of Temperature Influence Coefficients The table above shows that when T ≤ 610℃, K is 0.35; when 610℃ < T ≤ 680℃, K is 0.45; when 680℃ < T ≤ 720℃, K is 0.55; and when T > 720℃, K is 0.70.

[0035] S5: Calculate the pickling flow rate of the side spray beam of the pickling line based on the current pickling unit's strip pickling speed, pickling flow rate temperature coefficient, pickling flow rate pressure coefficient, and hot rolling coiling temperature influence coefficient.

[0036] In a specific implementation, this step combines the effects of temperature and pressure during the pickling process, and uses a fitting formula to calculate the flow rate of the side spray beam that is suitable for pickling operation:

[0037] in, This refers to the pickling flow rate of the side spray beam of the acid leveling line. The coefficient representing the influence of hot rolling coiling temperature. This is the temperature coefficient of the pickling flow rate. This represents the pickling flow rate and pressure coefficient. This represents the current pickling speed of the steel strip in the pickling unit.

[0038] It should be noted that this method can simultaneously optimize and improve the control of acid bath temperature and free acid concentration during pickling, which not only ensures the quality of the finished pickled strip steel, but also effectively reduces the iron loss during pickling. After the implementation of this method, the pickling speed of the raw strip steel is also controlled at 60-400m / min, the surface of the pickled strip steel is good, and the iron loss during pickling is significantly reduced, with the iron loss during pickling ≤1.0%.

[0039] Taking the actual operating data on September 18, 2022 as an example, with a strip width of 1500mm, a thickness of 1.5mm, and a steel grade of RECC (coiling temperature 660℃) and a pickling unit speed of 100m / min, the flow rates of the main spray beam and the side spray beam in the acid tank are calculated using the above method as follows.

[0040] 1. Acid washing flow rate of main spray beam = =145m³ / h 2. The side spray beam is calculated using acid tank #1 as an example: (1) Temperature influence coefficient of side spray beam =1.14 (2) Influence coefficient of side spray beam pressure =1.13246875 (3) Since the coiling temperature is 660℃, after consulting the table of temperature influence coefficients, it can be found that the influence coefficient K of hot rolling coiling temperature is 0.45.

[0041] (4) Flow rate of side spray beam =141.0564257 m³ / h The calculation method for the side spray of the other acid tanks #2, #3, and #4 is the same.

[0042] As can be seen, the present invention provides a method for calculating the pickling flow rate of a continuous pickling line, which can calculate the corresponding pickling circulation flow rate according to different pickling speeds and different steel grades. By controlling the pickling circulation flow rate, the concentration of acid in the pickling tank and the spray pressure can be accurately controlled, thus ensuring the stability of the pickling surface quality and iron loss of hot-rolled strip steel.

[0043] See Figure 2 As shown, the present invention also discloses a continuous acid spraying line acid washing flow calculation system, including: a main spray beam acid washing flow determination module 1, an acid washing flow temperature coefficient determination module 2, an acid washing flow pressure coefficient determination module 3, a winding temperature influence coefficient determination module 4, and a side spray beam acid washing flow calculation module 5.

[0044] The main spray beam pickling flow rate determination module 1 is configured to obtain the current strip pickling speed of the pickling unit in real time and determine the pickling flow rate of the main spray beam of the pickling line based on the strip pickling speed.

[0045] Pickling flow rate temperature coefficient determination module 2 is configured to obtain the real-time temperature of the acid solution in the pickling tank and determine the pickling flow rate temperature coefficient.

[0046] The pickling flow rate and pressure coefficient determination module 3 is configured to obtain the specification parameters of the strip steel to be pickled and determine the pickling flow rate and pressure coefficient based on the pickling speed of the strip steel in the current pickling unit.

[0047] The winding temperature influence coefficient determination module 4 is configured to obtain the hot-rolled winding temperature and determine the hot-rolled winding temperature influence coefficient based on the preset temperature influence coefficient table and the temperature range to which the hot-rolled winding temperature belongs.

[0048] The side spray beam pickling flow calculation module 5 is configured to calculate the pickling flow of the side spray beam of the pickling line based on the strip pickling speed, pickling flow temperature coefficient, pickling flow pressure coefficient and hot rolling coiling temperature influence coefficient of the current pickling unit.

[0049] The specific implementation of the continuous acid flatline pickling flow calculation system in this embodiment is basically the same as the specific implementation of the continuous acid flatline pickling flow calculation method described above, and will not be repeated here.

[0050] The present invention also discloses a continuous acid washing flow rate calculation device, comprising a processor and a memory; wherein, when the processor executes the continuous acid washing flow rate calculation program stored in the memory, it implements the steps of the continuous acid washing flow rate calculation method as described in any of the above.

[0051] Furthermore, the continuous acid leveling line pickling flow calculation device in this embodiment may also include: The input interface is used to acquire a continuous acid leveling line pickling flow rate calculation program imported from an external source and save the acquired program to the memory. It can also be used to acquire various instructions and parameters transmitted from external terminal devices and transmit them to the processor, so that the processor can perform corresponding processing using these instructions and parameters. In this embodiment, the input interface may specifically include, but is not limited to, a USB interface, a serial interface, a voice input interface, a fingerprint input interface, and a hard disk read interface.

[0052] An output interface is used to output various data generated by the processor to connected terminal devices, so that other terminal devices connected to the output interface can obtain the various data generated by the processor. In this embodiment, the output interface may include, but is not limited to, a USB interface, a serial interface, etc.

[0053] A communication unit is used to establish a remote communication connection between the continuous acid leveling line pickling flow calculation device and an external server, so that the continuous acid leveling line pickling flow calculation device can mount the image file to the external server. In this embodiment, the communication unit may specifically include, but is not limited to, a remote communication unit based on wireless communication technology or wired communication technology.

[0054] The keyboard is used to acquire various parameter data or commands input by the user through real-time keystrokes.

[0055] The display is used to show relevant information in real time regarding the calculation process of pickling flow rate in the continuous acid leveling line.

[0056] A mouse can be used to assist users in inputting data and simplifying user operations.

[0057] This invention also discloses a readable storage medium, which includes random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable hard disk, CD-ROM, or any other form of storage medium known in the art. The readable storage medium stores a continuous acid leveling line pickling flow rate calculation program, which, when executed by a processor, implements the steps of the continuous acid leveling line pickling flow rate calculation method as described in any of the preceding claims.

[0058] In summary, this invention can calculate the corresponding pickling circulation flow rate based on different pickling speeds and different steel grades. By controlling the pickling circulation flow rate, the concentration of acid in the pickling tank and the spray pressure can be accurately controlled, thus ensuring the stability of the pickling surface quality and iron loss of hot-rolled strip steel.

[0059] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The methods disclosed in the embodiments are described simply because they correspond to the systems disclosed in the embodiments; relevant details can be found in the method section.

[0060] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0061] In the embodiments provided by this invention, it should be understood that the disclosed systems, methods, and approaches can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0062] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0063] In addition, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit.

[0064] Similarly, in the various embodiments of the present invention, each processing unit can be integrated into a functional module, or each processing unit can exist physically, or two or more processing units can be integrated into a functional module.

[0065] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0066] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0067] The continuous acid washing flow calculation method, system, apparatus, and readable storage medium provided by this invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. It should be noted that those skilled in the art can make various improvements and modifications to this invention without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this invention.

Claims

1. A method for calculating the pickling flow rate of a continuous acid leveling line, characterized in that, include: The pickling speed of the strip steel in the current pickling unit is obtained in real time, and the pickling flow rate of the main spray beam of the pickling line is determined based on the pickling speed of the strip steel. Obtain the real-time temperature of the acid solution in the pickling tank and determine the temperature coefficient of the pickling flow rate. Obtain the specifications of the strip steel to be pickled, and determine the pickling flow rate and pressure coefficient based on the current pickling speed of the pickling unit. Obtain the hot-rolled coiling temperature, and determine the hot-rolled coiling temperature influence coefficient based on the preset temperature influence coefficient table and the temperature range to which the hot-rolled coiling temperature belongs. The pickling flow rate of the side spray beam of the pickling line is calculated based on the current pickling unit's strip pickling speed, pickling flow rate temperature coefficient, pickling flow rate pressure coefficient, and hot rolling coiling temperature influence coefficient. The real-time acquisition of the current strip pickling speed of the pickling unit, and the determination of the pickling flow rate of the main spray beam of the pickling line based on the strip pickling speed, includes: Get the current strip pickling speed VS of the pickling unit, in m / min; According to the formula Calculate the pickling flow rate of the main spray beam of the acid leveling line. The unit is m³ / h; The process of obtaining the real-time temperature of the acid solution in the pickling tank and determining the pickling flow rate temperature coefficient includes: Obtain the real-time temperature of the acid solution in the pickling tank. The unit is ℃; According to the formula Calculate the pickling flow rate temperature coefficient ; The process of obtaining the hot-rolled coiling temperature, based on a preset temperature influence coefficient table, involves determining the hot-rolled coiling temperature influence coefficient according to the temperature range to which the hot-rolled coiling temperature belongs, including: Obtain the hot-rolled coiling temperature T, and determine the hot-rolled coiling temperature influence coefficient K according to the temperature range to which T belongs in the preset temperature influence coefficient table; When T≤610℃, K is 0.35; When 610℃<T≤680℃, K is 0.45; When 680℃<T≤720℃, K is 0.55; When T > 720℃, K is 0.70; The calculation of the pickling flow rate of the side spray beam of the pickling line based on the current pickling unit's strip pickling speed, pickling flow rate temperature coefficient, pickling flow rate pressure coefficient, and hot rolling coiling temperature influence coefficient includes: According to the formula Calculate the pickling flow rate of the side spray beam of the acid leveling line. The unit is m³ / h; in, The coefficient representing the influence of hot rolling coiling temperature. This is the temperature coefficient of the pickling flow rate. This represents the pickling flow rate and pressure coefficient. The current pickling speed of the pickling unit is expressed in m / min.

2. The method for calculating the continuous acid washing flow rate according to claim 1, characterized in that, The specifications of the strip steel to be pickled include: the thickness and width of the strip steel to be pickled.

3. The method for calculating the continuous acid washing flow rate according to claim 2, characterized in that, The process of obtaining the specifications of the strip steel to be pickled and determining the pickling flow rate and pressure coefficient based on the current pickling speed of the pickling unit includes: Obtain the width L and thickness Th of the strip steel to be pickled, where the width L is in mm and the thickness Th is in mm; According to the formula Calculate the pickling flow rate and pressure coefficient .

4. A continuous acid leveling line pickling flow rate calculation system, applicable to the continuous acid leveling line pickling flow rate calculation method according to any one of claims 1-3, characterized in that, include: The main spray beam pickling flow rate determination module is configured to obtain the current strip pickling speed of the pickling unit in real time, and determine the pickling flow rate of the main spray beam of the pickling line based on the strip pickling speed. The pickling flow rate temperature coefficient determination module is configured to obtain the real-time temperature of the acid solution in the pickling tank and determine the pickling flow rate temperature coefficient. The pickling flow rate and pressure coefficient determination module is configured to obtain the specification parameters of the strip steel to be pickled and determine the pickling flow rate and pressure coefficient based on the pickling speed of the strip steel in the current pickling unit. The module for determining the influence coefficient of coiling temperature is configured to obtain the hot-rolled coiling temperature and determine the influence coefficient of hot-rolled coiling temperature based on the preset temperature influence coefficient table and the temperature range to which the hot-rolled coiling temperature belongs. The side spray beam pickling flow calculation module is configured to calculate the pickling flow of the side spray beam of the pickling line based on the strip pickling speed, pickling flow temperature coefficient, pickling flow pressure coefficient and hot rolling coiling temperature influence coefficient of the current pickling unit.

5. A continuous acid washing line flow rate calculation device, characterized in that, include: The memory is used to store the continuous acid washing flow calculation program; A processor is configured to implement the steps of the continuous acid washing flow calculation method as described in any one of claims 1 to 3 when executing the continuous acid washing flow calculation program.

6. A readable storage medium, characterized in that: The readable storage medium stores a continuous acid flatline pickling flow rate calculation program, which, when executed by a processor, implements the steps of the continuous acid flatline pickling flow rate calculation method as described in any one of claims 1 to 3.

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