Control system of full-automatic heat treatment production line for metal pipes

Abstract

The invention relates to the technical field of metal pipe heat treatment, in particular to a control system of a full-automatic heat treatment production line of metal pipes. The system comprises the following steps: acquiring heat-sensitive heating data and plastic bending forming data of a metal pipe in a full-automatic heat treatment production line; analyzing the convective heat transfer data of the metal pipe to obtain a heat-sensitive heating mass coefficient of the metal pipe; the plastic bending forming quality coefficient of the metal pipe is obtained based on plastic bending forming data analysis; and whether the metal pipe meets quality inspection conditions or not is judged based on the metal pipe heat sensing heating quality coefficient and the metal pipe plastic bending forming quality coefficient, and if not, the metal pipe is marked. According to the method, the quality of the metal pipe in the full-automatic heat treatment production line can be accurately evaluated, the metal pipe which does not meet the quality condition is identified, the production quality is further ensured, and the heat treatment efficiency of the metal pipe is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of heat treatment of metal pipes, and in particular to a control system of a full-automatic heat treatment production line of metal pipes. Background Art

[0002] As an important material in industrial production, metal pipes are widely used in many fields such as automobiles, aerospace, construction, energy, etc. With the continuous advancement of science and technology and the increasing demand for industrial production, the performance and quality requirements of metal pipes are also getting higher and higher. As a key link in improving the performance of metal pipes, heat treatment is of self-evident importance.

[0003] However, the traditional heat treatment process of metal pipes mostly adopts manual control or simple automatic control system, which has many shortcomings. For example, the manual control method is inefficient and easily leads to unstable heat treatment quality due to human factors; while simple automatic control systems often have single functions and cannot meet the complex and changing heat treatment requirements; the quality judgment of metal pipe heat treatment often relies on manual work, which leads to inaccurate judgment of metal pipe heat treatment quality due to human factors, resulting in low production efficiency;

[0004] Therefore, there is an urgent need for a control system for a fully automatic heat treatment production line for metal pipes to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a control system for a fully automatic heat treatment production line for metal pipes: to solve the technical problem that the quality judgment of the heat treatment of metal pipes in the existing solutions often relies on manual work, resulting in inaccurate quality judgment of the heat treatment of metal pipes and low production efficiency.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A control system for a fully automatic heat treatment production line of metal pipes, the system includes a pipe data acquisition module, a pipe heat-sensing heating module, a pipe plastic bending module and a pipe quality early warning module;

[0008] The pipe data acquisition module is used to collect the sensible heat heating data and plastic bending forming data of metal pipes in the fully automatic heat treatment production line, wherein the sensible heat heating data includes the convection heat transfer data of metal pipes and the skin effect data of metal pipe welds;

[0009] The pipe sensible heat heating module is used to obtain the metal pipe convective heat transfer index based on the metal pipe convective heat transfer data analysis, obtain the metal pipe weld skin effect index based on the pipe weld skin effect data analysis, and obtain the metal pipe sensible heat heating quality coefficient by analyzing the metal pipe convective heat transfer index and the metal pipe weld skin effect index;

[0010] The tube plastic bending forming module is used to obtain the hoop stress of the outer convex side of the metal tube and the hoop stress of the inner concave side of the metal tube based on the analysis of the plastic bending forming data, and to obtain the metal tube plastic bending forming quality coefficient by analyzing the hoop stress of the outer convex side of the metal tube and the hoop stress of the inner concave side of the metal tube;

[0011] The pipe quality early warning module is used to judge whether the metal pipe meets the quality inspection conditions based on the metal pipe's sensible heating quality coefficient and the metal pipe's plastic bending forming quality coefficient. If not, the metal pipe is marked.

[0012] Furthermore, the convective heat transfer index of metal pipes is obtained based on the convective heat transfer data of metal pipes, which specifically includes the following processes:

[0013] Obtain the temperature S during the heat treatment process based on the convection heat transfer data of the metal pipe;

[0014] Based on the convection heat transfer data of the metal pipe, the heat treatment period T corresponding to the temperature S in the heat treatment process is obtained;

[0015] Obtain the external temperature S1 of the metal pipe based on the convection heat transfer data of the metal pipe;

[0016] Substitute the temperature S, time period T and the external temperature S1 of the metal pipe into the calculation formula of the metal pipe convection heat transfer index to calculate the metal pipe convection heat transfer index HRZ. The calculation formula is as follows:

[0017]

[0018] in, is the convective heat transfer coefficient, μ is the Stefan-Boltzmann constant, α is the thermal radiation coefficient, and the value of e is 2.72.

[0019] Furthermore, the skin effect index of metal pipe welds is obtained based on the analysis of the skin effect data of pipe welds, which specifically includes the following processes:

[0020] Obtain the resistivity β corresponding to the metal pipe based on the skin effect data of the pipe weld;

[0021] The angular frequency ω of the current passing through the metal pipe is obtained based on the skin effect data of the pipe weld;

[0022] Obtain the current frequency f passing through the metal pipe based on the skin effect data of the pipe weld;

[0023] Substitute the resistivity β, current angular frequency ω and current frequency f into the calculation formula of the skin effect index of the metal pipe weld to obtain the skin effect index JFZ of the metal pipe weld. The calculation formula is as follows:

[0024]

[0025] Among them, τ is the magnetic permeability, τ=τ1τ2, τ1 and τ2 are the relative magnetic permeabilities of vacuum and conductor respectively.

[0026] Furthermore, the convective heat transfer index of the metal pipe and the skin effect index of the metal pipe weld are analyzed to obtain the sensible heating quality coefficient of the metal pipe, which specifically includes the following process:

[0027] Substituting the convection heat transfer index of the metal pipe and the skin effect index of the metal pipe weld into the calculation formula of the sensible heating quality coefficient of the metal pipe, the sensible heating quality coefficient of the metal pipe is obtained. The calculation formula is as follows:

[0028]

[0029] Among them, LMS is the sensible heating quality coefficient of the metal pipe, HRZ is the convection heat transfer index of the metal pipe, and JFZ is the skin effect index of the metal pipe weld. γ is the weight coefficient, which is 0.6 and 0.4 respectively. C is the basic value of the sensible heating quality of the metal pipe. The basic value of the sensible heating quality of different metal pipes is different and is set by the system.

[0030] Furthermore, the hoop stress of the convex side of the metal pipe bending is obtained based on the analysis of the plastic bending forming data, which specifically includes the following processes:

[0031]

[0032] Among them, σ1 is the hoop stress on the convex side of the metal pipe when it is bent, K is the strength coefficient of the metal pipe under the action of external force, n is the ability coefficient of the metal pipe to resist deformation during the plastic deformation of the metal pipe, R is the bending radius, ρ is the curvature radius of the strain neutral layer of the metal pipe, and K, n, R and ρ are all obtained from the plastic bending forming data.

[0033] Furthermore, the hoop stress of the concave side of the metal tube bending is obtained based on the plastic bending forming data analysis, which specifically includes the following processes:

[0034]

[0035] Among them, σ2 is the hoop stress on the concave side of the metal pipe when it is bent, K is the strength coefficient of the metal pipe under the action of external force, n is the ability coefficient of the metal pipe to resist deformation during the plastic deformation of the metal pipe, R is the bending radius, ρ is the curvature radius of the strain neutral layer of the metal pipe, and K, n, R and ρ are all obtained from the plastic bending forming data.

[0036] Furthermore, the hoop stress of the convex side of the metal tube bending and the hoop stress of the concave side of the metal tube bending are analyzed to obtain the metal tube plastic bending forming quality coefficient, which specifically includes the following process:

[0037] Obtaining a reference value of hoop stress on the convex side of a metal tube when it is bent and a reference value of hoop stress on the concave side of a metal tube when it is bent, wherein the reference values ​​are stored in the system;

[0038] The ratio of the hoop stress on the convex side of the metal tube bending to the reference value of the hoop stress on the convex side of the metal tube bending is calculated, and the ratio of the hoop stress on the concave side of the metal tube bending to the reference value of the hoop stress on the concave side of the metal tube bending is calculated. The sum of the two ratios is recorded as the plastic bending forming quality coefficient of the metal tube.

[0039] Furthermore, judging whether the metal pipe meets the quality inspection conditions based on the metal pipe sensible heating quality coefficient and the metal pipe plastic bending forming quality coefficient specifically includes the following processes:

[0040] Determine whether the metal pipe's sensible thermal heating quality coefficient is greater than the preset metal pipe's sensible thermal heating quality coefficient threshold, and whether the metal pipe's plastic bending forming quality coefficient is greater than the preset metal pipe's plastic bending forming quality coefficient threshold. If so, it is determined that the metal pipe meets the quality inspection conditions; if not, it is determined that the metal pipe does not meet the quality inspection conditions.

[0041] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0042] The present invention collects the sensible heat heating data and plastic bending forming data of metal pipes in the full-automatic heat treatment production line; obtains the convective heat transfer index of the metal pipe based on the convective heat transfer data of the metal pipe, obtains the skin effect index of the metal pipe weld based on the skin effect data of the pipe weld, and obtains the sensible heat heating quality coefficient of the metal pipe by analyzing the convex side annular stress of the metal pipe bending and the concave side annular stress of the metal pipe bending based on the plastic bending forming data, and obtains the plastic bending forming quality coefficient of the metal pipe by analyzing the convex side annular stress of the metal pipe bending and the concave side annular stress of the metal pipe bending; judges whether the metal pipe meets the quality inspection conditions based on the sensible heat heating quality coefficient of the metal pipe and the plastic bending forming quality coefficient of the metal pipe, and if not, marks the metal pipe. It can accurately evaluate the quality of metal pipes in the full-automatic heat treatment production line, identify metal pipes that do not meet the quality conditions, further ensure the production quality, and improve the heat treatment efficiency of metal pipes.

[0043] Furthermore, the present invention achieves high-precision, high-efficiency, and high-quality control of the heat treatment process of the metal pipe, thereby improving the comprehensive performance and market competitiveness of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0045] Figure 1 This is a system block diagram of a control system for a fully automatic heat treatment production line for metal pipes according to an embodiment of the present invention;

[0046] Figure 2 This is a work flow chart of a control system of a fully automatic heat treatment production line for metal pipes according to an embodiment of the present invention;

[0047] Figure 3 It is a work flow chart of a control system of another fully automatic heat treatment production line for metal pipes according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] 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.

[0049] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0050] This embodiment provides a control system for a fully automatic heat treatment production line for metal pipes. Figure 1 : is a system block diagram of a control system of a fully automatic heat treatment production line for metal pipes according to an embodiment of the present invention. Figure 1 As shown, the system includes a pipe data acquisition module, a pipe heat-sensing heating module, a pipe plastic bending forming module and a pipe quality early warning module;

[0051] The pipe data acquisition module is used to collect the sensible heat heating data and plastic bending forming data of metal pipes in the fully automatic heat treatment production line, wherein the sensible heat heating data includes the convection heat transfer data of metal pipes and the skin effect data of metal pipe welds;

[0052] The pipe sensible heat heating module is used to obtain the metal pipe convective heat transfer index based on the metal pipe convective heat transfer data analysis, obtain the metal pipe weld skin effect index based on the pipe weld skin effect data analysis, and obtain the metal pipe sensible heat heating quality coefficient by analyzing the metal pipe convective heat transfer index and the metal pipe weld skin effect index;

[0053] The tube plastic bending forming module is used to obtain the hoop stress of the outer convex side of the metal tube and the hoop stress of the inner concave side of the metal tube based on the analysis of the plastic bending forming data, and to obtain the metal tube plastic bending forming quality coefficient by analyzing the hoop stress of the outer convex side of the metal tube and the hoop stress of the inner concave side of the metal tube;

[0054] The pipe quality early warning module is used to judge whether the metal pipe meets the quality inspection conditions based on the metal pipe's sensible heating quality coefficient and the metal pipe's plastic bending forming quality coefficient. If not, the metal pipe is marked.

[0055] In summary, the present invention collects the sensible heat heating data and plastic bending forming data of metal pipes in the fully automatic heat treatment production line; based on the analysis of the convective heat transfer data of the metal pipes, the convective heat transfer index of the metal pipes is obtained; based on the analysis of the skin effect data of the pipe welds, the skin effect index of the metal pipe welds is obtained; the sensible heat heating quality coefficient of the metal pipes is obtained by analyzing the convex side annular stress of the metal pipe bending and the concave side annular stress of the metal pipe bending based on the plastic bending forming data; the convex side annular stress of the metal pipe bending and the concave side annular stress of the metal pipe bending are analyzed to obtain the plastic bending forming quality coefficient of the metal pipe; based on the sensible heat heating quality coefficient of the metal pipes and the plastic bending forming quality coefficient of the metal pipes, it is judged whether the metal pipes meet the quality inspection conditions, if not, the metal pipes are marked. It can accurately evaluate the quality of metal pipes in the fully automatic heat treatment production line, identify metal pipes that do not meet the quality conditions, further ensure the production quality, and improve the heat treatment efficiency of metal pipes.

[0056] Furthermore, the present invention achieves high-precision, high-efficiency, and high-quality control of the heat treatment process of the metal pipe, thereby improving the comprehensive performance and market competitiveness of the product.

[0057] In some embodiments, Figure 2 : is a work flow chart of a control system of a fully automatic heat treatment production line for metal pipes according to an embodiment of the present invention, such as Figure 2 As shown, the following steps are specifically included to obtain the metal pipe convective heat transfer index based on the metal pipe convective heat transfer data analysis:

[0058] Step S201: obtaining the temperature S during the heat treatment process based on the convection heat transfer data of the metal pipe;

[0059] Step S202: obtaining a heat treatment period T corresponding to a temperature S during the heat treatment process based on the convection heat transfer data of the metal pipe;

[0060] Step S203: obtaining the external temperature S1 of the metal pipe based on the convection heat transfer data of the metal pipe;

[0061] Step S204: Substitute the temperature S, time period T and the external temperature S1 of the metal pipe into the metal pipe convection heat transfer index calculation formula to calculate the metal pipe convection heat transfer index HRZ. The calculation formula is as follows:

[0062]

[0063] in, is the convective heat transfer coefficient, μ is the Stefan-Boltzmann constant, α is the thermal radiation coefficient, and the value of e is 2.72.

[0064] In some embodiments, Figure 3 FIG. 1 is a flowchart of a control system for a fully automatic heat treatment production line for another metal pipe according to an embodiment of the present invention. Figure 3 As shown, the skin effect index of metal pipe welds obtained based on the skin effect data analysis of pipe welds specifically includes the following steps:

[0065] Step S301: Obtain the resistivity corresponding to the metal pipe based on the skin effect data of the pipe weld; the resistivity is represented by β;

[0066] Step S302: obtaining the angular frequency of the current passing through the metal pipe based on the skin effect data of the pipe weld; the angular frequency of the current is represented by ω;

[0067] Step S303: obtaining the frequency of the current passing through the metal pipe based on the skin effect data of the pipe weld; the current frequency is represented by f;

[0068] Step S304: Substitute the resistivity, current angular frequency and current frequency into the calculation formula of the skin effect index of the metal pipe weld to obtain the skin effect index JFZ of the metal pipe weld. The calculation formula is as follows:

[0069]

[0070] Among them, τ is the magnetic permeability, τ=τ1τ2, τ1 and τ2 are the relative magnetic permeabilities of vacuum and conductor respectively.

[0071] In some embodiments, analyzing the convective heat transfer index of the metal pipe and the skin effect index of the metal pipe weld to obtain the sensible heating quality coefficient of the metal pipe specifically includes the following process:

[0072] Substituting the convection heat transfer index of the metal pipe and the skin effect index of the metal pipe weld into the calculation formula of the sensible heating quality coefficient of the metal pipe, the sensible heating quality coefficient of the metal pipe is obtained. The calculation formula is as follows:

[0073]

[0074] Among them, LMS is the sensible heating quality coefficient of the metal pipe, HRZ is the convection heat transfer index of the metal pipe, and JFZ is the skin effect index of the metal pipe weld. γ is the weight coefficient, which is 0.6 and 0.4 respectively. C is the basic value of the sensible heating quality of the metal pipe. The basic value of the sensible heating quality of different metal pipes is different and is set by the system.

[0075] In some embodiments, obtaining the hoop stress of the outer convex side of the metal tube based on the analysis of the plastic bending forming data specifically includes the following process:

[0076]

[0077] Among them, σ1 is the hoop stress on the convex side of the metal pipe when it is bent, K is the strength coefficient of the metal pipe under the action of external force, n is the ability coefficient of the metal pipe to resist deformation during the plastic deformation of the metal pipe, R is the bending radius, ρ is the curvature radius of the strain neutral layer of the metal pipe, and K, n, R and ρ are all obtained from the plastic bending forming data.

[0078] Furthermore, the hoop stress of the concave side of the metal tube bending is obtained based on the plastic bending forming data analysis, which specifically includes the following processes:

[0079]

[0080] Among them, σ2 is the hoop stress on the concave side of the metal pipe when it is bent, K is the strength coefficient of the metal pipe under the action of external force, n is the ability coefficient of the metal pipe to resist deformation during the plastic deformation of the metal pipe, R is the bending radius, ρ is the curvature radius of the strain neutral layer of the metal pipe, and K, n, R and ρ are all obtained from the plastic bending forming data.

[0081] In some embodiments, analyzing the hoop stress on the convex side of the metal tube and the hoop stress on the concave side of the metal tube to obtain the plastic bending forming quality coefficient of the metal tube specifically includes the following process:

[0082] Obtaining a reference value of hoop stress on the convex side of a metal tube when it is bent and a reference value of hoop stress on the concave side of a metal tube when it is bent, wherein the reference values ​​are stored in the system;

[0083] The ratio of the hoop stress on the convex side of the metal tube bending to the reference value of the hoop stress on the convex side of the metal tube bending is calculated, and the ratio of the hoop stress on the concave side of the metal tube bending to the reference value of the hoop stress on the concave side of the metal tube bending is calculated. The sum of the two ratios is recorded as the plastic bending forming quality coefficient of the metal tube.

[0084] In some embodiments, judging whether the metal pipe meets the quality inspection conditions based on the metal pipe sensible heating quality coefficient and the metal pipe plastic bending forming quality coefficient specifically includes the following process:

[0085] It is determined whether the metal pipe material heat sensible heating quality coefficient is greater than the preset metal pipe material heat sensible heating quality coefficient threshold value, and whether the metal pipe material plastic bending forming quality coefficient is greater than the preset metal pipe material plastic bending forming quality coefficient threshold value. If so, it is determined that the metal pipe material meets the quality inspection conditions, and if not, it is determined that the metal pipe material does not meet the quality inspection conditions. Further, the metal pipe material that does not meet the quality inspection conditions is marked.

[0086] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0087] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0089] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0090] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A control system for a fully automatic heat treatment production line for metal pipes, characterized in that: The system includes a pipe data acquisition module, a pipe heat-sensing heating module, a pipe plastic bending module and a pipe quality early warning module; The pipe data acquisition module is used to collect the sensible heat heating data and plastic bending forming data of metal pipes in the fully automatic heat treatment production line, wherein the sensible heat heating data includes the convection heat transfer data of metal pipes and the skin effect data of metal pipe welds; The pipe sensible heat heating module is used to obtain the metal pipe convective heat transfer index based on the metal pipe convective heat transfer data analysis, obtain the metal pipe weld skin effect index based on the pipe weld skin effect data analysis, and obtain the metal pipe sensible heat heating quality coefficient by analyzing the metal pipe convective heat transfer index and the metal pipe weld skin effect index; The tube plastic bending forming module is used to obtain the hoop stress of the outer convex side of the metal tube and the hoop stress of the inner concave side of the metal tube based on the analysis of the plastic bending forming data, and to obtain the metal tube plastic bending forming quality coefficient by analyzing the hoop stress of the outer convex side of the metal tube and the hoop stress of the inner concave side of the metal tube; The pipe quality early warning module is used to judge whether the metal pipe meets the quality inspection conditions based on the metal pipe's sensible heating quality coefficient and the metal pipe's plastic bending forming quality coefficient. If not, the metal pipe is marked.

2. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1 is characterized in that: The process of obtaining the metal pipe convective heat transfer index based on the metal pipe convective heat transfer data analysis specifically includes the following steps: Obtain the temperature S during the heat treatment process based on the convection heat transfer data of the metal pipe; Based on the convection heat transfer data of the metal pipe, the heat treatment period T corresponding to the temperature S in the heat treatment process is obtained; Obtain the external temperature S1 of the metal pipe based on the convection heat transfer data of the metal pipe; Substitute the temperature S, time period T and the external temperature S1 of the metal pipe into the calculation formula of the metal pipe convection heat transfer index to calculate the metal pipe convection heat transfer index HRZ. The calculation formula is as follows: in, is the convective heat transfer coefficient, μ is the Stefan-Boltzmann constant, α is the thermal radiation coefficient, and the value of e is 2.

72.

3. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1 is characterized in that: The skin effect index of metal pipe welds obtained based on the skin effect data analysis of pipe welds specifically includes the following processes: Obtain the resistivity β corresponding to the metal pipe based on the skin effect data of the pipe weld; The angular frequency ω of the current passing through the metal pipe is obtained based on the skin effect data of the pipe weld; Obtain the current frequency f passing through the metal pipe based on the skin effect data of the pipe weld; Substitute the resistivity β, current angular frequency ω and current frequency f into the calculation formula of the skin effect index of the metal pipe weld to obtain the skin effect index JFZ of the metal pipe weld. The calculation formula is as follows: Among them, τ is the magnetic permeability, τ=τ1τ2, τ1 and τ2 are the relative magnetic permeabilities of vacuum and conductor respectively.

4. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1 is characterized in that: The analysis of the convection heat transfer index of metal pipes and the skin effect index of metal pipe welds to obtain the sensible heating quality coefficient of metal pipes specifically includes the following processes: Substituting the convection heat transfer index of the metal pipe and the skin effect index of the metal pipe weld into the calculation formula of the sensible heating quality coefficient of the metal pipe, the sensible heating quality coefficient of the metal pipe is obtained. The calculation formula is as follows: Among them, LMS is the sensible heating quality coefficient of the metal pipe, HRZ is the convection heat transfer index of the metal pipe, and JFZ is the skin effect index of the metal pipe weld. γ is the weight coefficient, which is 0.6 and 0.4 respectively. C is the basic value of the sensible heating quality of the metal pipe. The basic value of the sensible heating quality of different metal pipes is different and is set by the system.

5. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1, characterized in that: The hoop stress on the convex side of the metal pipe bending obtained based on the plastic bending forming data analysis specifically includes the following processes: Among them, σ1 is the hoop stress on the convex side of the metal pipe when it is bent, K is the strength coefficient of the metal pipe under the action of external force, n is the ability coefficient of the metal pipe to resist deformation during the plastic deformation of the metal pipe, R is the bending radius, ρ is the curvature radius of the strain neutral layer of the metal pipe, and K, n, R and ρ are all obtained from the plastic bending forming data.

6. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1, characterized in that: The hoop stress on the concave side of the metal tube bending obtained based on the plastic bending forming data analysis specifically includes the following processes: Among them, σ2 is the hoop stress on the concave side of the metal pipe when it is bent, K is the strength coefficient of the metal pipe under the action of external force, n is the ability coefficient of the metal pipe to resist deformation during the plastic deformation of the metal pipe, R is the bending radius, ρ is the curvature radius of the strain neutral layer of the metal pipe, and K, n, R and ρ are all obtained from the plastic bending forming data.

7. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1, characterized in that: The hoop stress analysis of the convex side of the metal tube and the concave side of the metal tube to obtain the metal tube plastic bending forming quality coefficient specifically includes the following processes: Obtaining a reference value of hoop stress on the convex side of a metal tube when it is bent and a reference value of hoop stress on the concave side of a metal tube when it is bent, wherein the reference values ​​are stored in the system; The ratio of the hoop stress on the convex side of the metal tube bending to the reference value of the hoop stress on the convex side of the metal tube bending is calculated, and the ratio of the hoop stress on the concave side of the metal tube bending to the reference value of the hoop stress on the concave side of the metal tube bending is calculated. The sum of the two ratios is recorded as the plastic bending forming quality coefficient of the metal tube.

8. The control system of a fully automatic heat treatment production line for metal pipes according to claim 1, characterized in that: Judging whether the metal pipe meets the quality inspection conditions based on the metal pipe sensible heating quality coefficient and the metal pipe plastic bending forming quality coefficient specifically includes the following processes: Determine whether the metal pipe's sensible thermal heating quality coefficient is greater than the preset metal pipe's sensible thermal heating quality coefficient threshold, and whether the metal pipe's plastic bending forming quality coefficient is greater than the preset metal pipe's plastic bending forming quality coefficient threshold. If so, it is determined that the metal pipe meets the quality inspection conditions; if not, it is determined that the metal pipe does not meet the quality inspection conditions.

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