High-frequency longitudinal welded pipe unit with high-precision transmission

Abstract

The invention discloses a high-precision transmission high-frequency longitudinal welded pipe unit, and relates to the technical field of longitudinal welded pipe unit control. According to the high-precision transmission high-frequency longitudinal welded pipe unit, a dynamic adaptive welding value calculated by a dynamic adaptive welding value algorithm unit reflects the influence of carbon equivalent and the thickness of a steel pipe on the welding process; the control system automatically adjusts the welding speed, it is ensured that the welding process is conducted in the optimal state all the time, the high precision of welding and transmission of the high-frequency longitudinal welded pipe is improved, and in the longitudinal welded pipe unit, through the mode of dynamically adjusting the welding parameters through intelligent control, the welding efficiency is improved. According to the method, shutdown adjustment time delayed due to different parameters of steel pipes to be machined can be shortened, unnecessary energy consumption is reduced, the environment adaptability welding value is calculated by considering the deviation degree between the environment temperature and humidity and the ideal value during welding, it is ensured that the welding process can be kept stable under different environment conditions, and the welding quality is improved. And welding defects caused by environmental factors are reduced.

Description

Technical Field

[0001] The invention relates to the technical field of straight seam welded pipe mills, in particular to a high-frequency straight seam welded pipe mill with high-precision transmission. Background Art

[0002] Straight seam welded pipes are pipes made by straight seam welding hot-rolled or cold-rolled steel plates or steel strips on welding equipment.

[0003] The control system of the existing straight seam welded pipe unit currently in calculation is unable to quantify the impact of steel pipe thickness, carbon equivalent, ambient temperature and humidity on the straight seam welded pipe unit welding and adjust the welding speed. Therefore, workers need to frequently stop the machine to adjust welding parameters based on their operating experience to adapt to different steel pipe thicknesses and carbon equivalents during the straight seam welded pipe process. However, frequent stoppages will reduce the welding efficiency of the straight seam welded pipe unit and increase energy consumption.

[0004] Therefore, there is an urgent need for a high-frequency straight seam welded pipe unit with high-precision transmission to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a high-frequency straight seam pipe welding machine unit with high-precision transmission to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a high-frequency straight seam welded pipe unit with high-precision transmission, including a control system, wherein the control system specifically includes:

[0007] The data collection module is used to collect welding information of the high-frequency straight seam welded pipe unit. The collected welding information includes steel pipe thickness, welding speed, carbon equivalent, ambient temperature, ambient humidity and current load power;

[0008] The data preprocessing module decodes and preprocesses the welding information to obtain the calculation parameters in the calculation processing module;

[0009] Computing and processing module, including:

[0010] The dynamic adaptive welding value algorithm unit is used to calculate the dynamic adaptive welding value Wda based on the adjustment value of the welding speed relative to the reference speed under the influence of the steel pipe thickness and the carbon equivalent of the steel pipe to be processed. The unit also automatically adjusts the welding parameters based on the different dynamic adaptive welding values Wda for different steel pipes to be processed, thereby reducing downtime and improving the utilization rate and production efficiency of the unit.

[0011] The environmental adaptability welding value algorithm unit is used to calculate the environmental adaptability welding value Wca after adjusting the ambient temperature and humidity by taking the dynamic adaptive welding value Wda as the input parameter and combining it with the degree of deviation of the ambient temperature and humidity from the optimal values, so as to reduce welding defects caused by environmental factors and improve the welding quality of the finished welded pipe;

[0012] The welding speed adjustment value algorithm unit is used to calculate the adjusted welding speed Vnew based on the dynamic adaptive welding value Wda and the dynamic adaptive welding value Wda when the environmental adaptability welding value Wca is less than 0.6 times the dynamic adaptive welding value Wda, and adjust the subsequent welding speed according to the adjusted welding speed Vnew to improve the welding accuracy and reduce welding defects caused by environmental changes and high load of the unit.

[0013] Optionally, the welding information collection of the high-frequency straight seam welded pipe unit specifically includes:

[0014] The welding speed Vw is obtained by real-time monitoring through the wheel encoder set in the welding assembly;

[0015] Obtain the thickness of the steel pipe Mt by measuring with a laser thickness gauge;

[0016] Obtain the carbon equivalent Cmn from the material quality certificate attached to the steel pipe when it leaves the factory;

[0017] Obtain the ambient temperature Ta in real time through the temperature sensor;

[0018] Get the ambient humidity Ha in real time through the humidity sensor;

[0019] The current load power Lp and maximum load power Tp of the unit are monitored by a power meter.

[0020] Optionally, the calculation logic of the dynamic adaptive welding value algorithm unit is as follows:

[0021] S11, calculating the arctangent value of the ratio of the welding speed Vw to the reference speed V0 using an inverse tangent function, which is used to reflect the impact of the deviation of the welding speed Vw from the reference speed V0 on the dynamic adaptive welding value Wda. When the deviation is low, the characteristics of the inverse tangent function sensitively reflect small changes in speed. When the speed difference is large, the change rate will gradually slow down to avoid excessive influence on the dynamic adaptive welding value Wda in the calculation when the speed difference is large;

[0022] S12, by adding the zero division constant 1 to the steel pipe thickness Mt, the influence value of the steel pipe thickness Mt on the dynamic adaptive welding value Wda is mapped to a logarithmic growth interval through a logarithmic function to reflect the nonlinear influence of the steel pipe thickness Mt on the dynamic adaptive welding value Wda.

[0023] Optionally, the nonlinear effect of the steel pipe thickness Mt on the dynamic adaptive welding value Wda is specifically:

[0024] Since the influence of the steel pipe thickness Mt on the welding process is nonlinear, thin steel pipes are more sensitive to changes in welding speed, and thick steel pipes are relatively slow to respond to changes in welding speed due to their large heat capacity. The characteristics of the logarithmic function are used to smooth out this nonlinear influence, making the adjustment of welding parameters more in line with actual process requirements.

[0025] Optionally, the calculation logic of the environmental adaptability welding value algorithm unit is as follows:

[0026] S21, normalizing the absolute difference between the ambient temperature Ta and the ideal temperature Topt by the temperature deviation reference value Trange, so as to reflect the influence of the deviation of the ambient temperature Ta from the ideal temperature Topt on the calculation of the environmental adaptability welding value Wca;

[0027] S22, normalizing the absolute difference between the ambient humidity Ha and the ideal humidity Hopt by the humidity deviation reference value Hrange, so as to reflect the influence of the ambient humidity Ha deviating from the ideal humidity Hopt on the calculation of the environmental adaptability welding value Wca.

[0028] Optionally, the calculation logic of the welding speed adjustment value algorithm unit is as follows:

[0029] S31, a ratio obtained by dividing the environmental adaptability welding value Wca by the dynamic adaptive welding value Wda, representing a deviation term of the environmental adaptability welding value Wca from the dynamic adaptive welding value Wda after being affected by the ambient temperature and ambient humidity;

[0030] As the ratio decreases, the deviation value of the deviation item increases, which means that the straight seam welded pipe unit is greatly affected by the ambient temperature and humidity. The calculated adjusted welding speed Vnew is reduced and the welding accuracy is improved to reduce the adverse effects of ambient temperature and humidity on the straight seam welded pipe.

[0031] Optionally, the calculation logic of the welding speed adjustment value algorithm unit includes:

[0032] S32, using a logarithmic function to map the influence value of the deviation term to a logarithmic interval. As the ratio decreases, the calculated adjusted welding speed Vnew decreases, and the speed reduction will slow down to avoid excessive adjustment of the welding speed Vw.

[0033] Optionally, the calculation logic of the welding speed adjustment value algorithm unit further includes:

[0034] S33, the current load power Lp is divided by the maximum load power Tp to reflect the proportional relationship between the current load and the maximum load. Specifically:

[0035] When the current load power Lp approaches the maximum load power Tp, it means that the load power of the straight seam welded pipe unit has reached the limit value. In order to reduce the load power of the straight seam welded pipe unit, the welding speed is adjusted to half of the original speed.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention utilizes the interaction of a dynamic adaptive welding value algorithm unit, an environmental adaptability welding value algorithm unit, and a welding speed adjustment value algorithm unit within a computational processing module to form the core architecture of a high-precision transmission high-frequency straight seam welded pipe unit control system. The dynamic adaptive welding value Wda calculated by the dynamic adaptive welding value algorithm unit comprehensively reflects the impact of carbon equivalent and steel pipe thickness on the welding process. Based on this impact value, the control system automatically adjusts the welding speed to ensure that welding is always performed under optimal conditions, thereby improving the high-frequency straight seam welded pipe welding and transmission precision. Furthermore, this method of dynamically adjusting welding parameters through intelligent control in the straight seam welded pipe unit can reduce downtime and adjustment time caused by different parameters of the processed steel pipes, improve equipment utilization and production efficiency, reduce unnecessary energy consumption, and thus reduce production costs. This solves the problem of traditional straight seam welded pipe units requiring workers to frequently stop during the straight seam welding process to adjust welding parameters based on their operating experience to adapt to different steel pipe thicknesses and carbon equivalents.

[0038] Second, the present invention uses an environmental adaptability welding value algorithm unit to comprehensively consider the degree of deviation between the ambient temperature Ta and the ideal temperature Topt, as well as the degree of deviation between the ambient humidity Ha and the ideal temperature Hopt, to calculate the environmental adaptability welding value Wca. This allows the control system within the high-frequency straight seam pipe welded unit to dynamically adjust the welding parameters of the high-frequency straight seam pipe welded unit based on changes in ambient temperature and humidity. This dynamic adjustment method ensures that the welding process remains stable under different environmental conditions, reduces welding defects caused by environmental factors, improves the intrinsic and external quality of the weld, and ensures high-precision welding of the straight seam pipe welded unit.

[0039] 3. The present invention uses the reference speed V0 during welding as the calculation basis through the welding speed adjustment value algorithm unit, comprehensively considers the deviation of the environmental adaptability welding value Wca from the dynamic adaptation welding value Wda after the influence of ambient temperature and ambient humidity, and the proportional relationship between the current load and the maximum load, and calculates the adjusted welding speed Vnew, so that the welding speed can more accurately match the current welding conditions, which helps to reduce welding defects caused by environmental changes and high load of the unit, and improves the accuracy of the welded pipe after welding is completed. In addition, the welding speed is reduced by the calculation of the welding speed adjustment value algorithm unit, which can reduce the load of the unit and avoid overload operation of the equipment, which helps to protect the key components of the unit and extend the service life of the equipment. Real-time monitoring of load power and adjustment of the welding speed can keep the unit operating within a safe and stable load range. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 The diagram is a schematic diagram of the overall structure of a control system for a high-frequency straight seam welded pipe unit with high-precision transmission. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0042] For example 1, please refer to Figure 1 The present invention provides a high-frequency straight seam welded pipe unit with high-precision transmission, including a control system, the control system specifically includes;

[0043] The data collection module is used to collect welding information of the high-frequency straight seam welded pipe unit, specifically including:

[0044] The welding speed Vw is obtained by real-time monitoring through the wheel encoder set in the welding assembly;

[0045] Obtain the thickness of the steel pipe Mt by measuring with a laser thickness gauge;

[0046] Obtain the carbon equivalent Cmn from the material quality certificate attached to the steel pipe when it leaves the factory;

[0047] Obtain the ambient temperature Ta in real time through the temperature sensor;

[0048] Get the ambient humidity Ha in real time through the humidity sensor;

[0049] Obtain the current load power Lp and maximum load power Tp of the unit through power meter monitoring;

[0050] Computing and processing module, including:

[0051] The dynamic adaptive welding value algorithm unit is used to calculate the dynamic adaptive welding value Wda based on the adjustment value of the welding speed relative to the reference speed under the influence of the steel pipe thickness and the carbon equivalent of the steel pipe to be processed. The unit also automatically adjusts the welding parameters based on the different dynamic adaptive welding values Wda for different steel pipes to be processed, thereby reducing downtime and improving the utilization rate and production efficiency of the unit.

[0052] The environmental adaptability welding value algorithm unit is used to calculate the environmental adaptability welding value Wca after adjusting the ambient temperature and humidity by taking the dynamic adaptive welding value Wda as the input parameter and combining it with the degree of deviation of the ambient temperature and humidity from the optimal values, so as to reduce welding defects caused by environmental factors and improve the welding quality of the finished welded pipe;

[0053] The welding speed adjustment value algorithm unit is used to use the dynamic adaptation welding value Wda and the dynamic adaptation welding value Wda as input parameters when the environmental adaptability welding value Wca is less than 0.6 times the dynamic adaptation welding value Wda, and calculate the adjusted welding speed Vnew in combination with the current load power of the unit, and lower the subsequent welding speed according to the adjusted welding speed Vnew to improve welding accuracy and reduce welding defects caused by environmental changes and high load of the unit.

[0054] In this embodiment:

[0055] The present invention uses a dynamic adaptive welding value Wda calculated by a dynamic adaptive welding value algorithm unit to comprehensively reflect the influence of carbon equivalent and steel pipe thickness on the welding process, ensuring that the welding process is always carried out in the best state, thereby reducing downtime and improving equipment utilization and production efficiency. This method of dynamically adjusting welding parameters through intelligent control in a straight seam welded pipe unit can reduce unnecessary energy consumption, thereby reducing production costs, and solves the problem of traditional straight seam welded pipe units requiring workers to frequently stop the unit to adjust welding parameters based on operating experience during the straight seam welded pipe process to adapt to different steel pipe thicknesses and carbon equivalents. In addition, the intelligent control of this control system can improve the stability and consistency of the welding process, reduce the influence of human factors on welding quality, ensure that the quality of each welded pipe reaches high precision, and significantly improve the quality and stability of the weld.

[0056] The environmental adaptability welding value algorithm unit calculates the environmental adaptability welding value Wca by comprehensively considering the deviation between the ambient temperature Ta and the ideal temperature Topt, as well as the deviation between the ambient humidity Ha and the ideal temperature Hopt. This allows the control system within the high-frequency straight seam welded pipe unit to dynamically adjust the welding parameters of the high-frequency straight seam welded pipe unit according to changes in ambient temperature and humidity. This dynamic adjustment method ensures that the welding process remains stable under different environmental conditions, reduces welding defects caused by environmental factors, such as pores and cracks, and ensures the high precision of the finished product after welding.

[0057] The welding speed adjustment value algorithm unit uses the reference speed V0 during welding as the calculation basis, and comprehensively considers the deviation of the environmental adaptability welding value Wca from the dynamic adaptation welding value Wda after the influence of ambient temperature and ambient humidity, as well as the proportional relationship between the current load and the maximum load, to calculate the adjusted welding speed Vnew, so that the welding speed can more accurately match the current welding conditions, which helps to reduce welding defects caused by environmental changes (such as temperature and humidity fluctuations) or high load of the unit, and improves the quality of the welded pipe after welding is completed. In addition, by reducing the welding speed through the calculation of the welding speed adjustment value algorithm unit, the load of the unit can be reduced and overload operation of the equipment can be avoided, which helps to protect the key components of the unit (such as motors, transmission systems, etc.) and extend the service life of the equipment. Real-time monitoring of load power and adjustment of the welding speed can keep the unit operating within a safe and stable load range.

[0058] See also Figure 1 , the dynamic adaptation welding value algorithm unit is as follows:

[0059]

[0060] in:

[0061] Wda represents the dynamic adaptation welding value;

[0062] Vw represents the welding speed, which is obtained by real-time monitoring using a wheel encoder installed in the welding assembly;

[0063] V0 represents the base speed, which is the base speed for welding and the preset value is 2m / min;

[0064] Mt stands for the thickness of the steel pipe, which refers to the thickness of the processed steel pipe and is measured by a laser thickness gauge;

[0065] Cmn stands for carbon equivalent, which refers to the carbon equivalent of the steel pipe to be processed. The higher the carbon equivalent, the greater the material's tendency to harden and the greater the sensitivity to weld cracks. It can be obtained from the material quality certificate attached to the steel pipe when it leaves the factory.

[0066] α represents the sensitivity coefficient, and the default value is 1.2;

[0067] This part calculates the arctangent value of the ratio of the welding speed Vw to the reference speed V0 through the arctangent function, which is used to reflect the influence of the deviation of the welding speed Vw from the reference speed V0 on the dynamic adaptive welding value Wda. Specifically:

[0068] Due to the characteristics of the inverse tangent function, When the ratio of this part is close to 1, the change is steeper, and when the ratio is far away from 1, the change is gentle, which means that when the welding speed Vw is not much different from the reference speed V0, the inverse tangent function can more sensitively reflect the slight change in speed. When the speed difference is large, its change speed will gradually slow down to avoid excessive influence in the calculation of the dynamic adaptation welding value Wda, making the control of the welding process more stable and reasonable.

[0069] In the ln(Mt+1) part, after adding the zero division constant 1 to the steel pipe thickness Mt, the influence of the steel pipe thickness Mt on the dynamic adaptive welding value Wda is mapped into the logarithmic growth range through the logarithmic function to reflect the nonlinear influence of the steel pipe thickness Mt on the dynamic adaptive welding value Wda. Specifically:

[0070] Since the influence of the steel pipe thickness Mt on the welding process is often nonlinear, thinner materials may be more sensitive to changes in welding speed, while thicker materials may be relatively slow to respond to changes in welding speed due to their large heat capacity. The use of a logarithmic function can smooth this nonlinear influence, making the adjustment of welding parameters more in line with actual process requirements. When the steel pipe thickness Mt is small, the ln(Mt+1) part increases rapidly with the increase of the steel pipe thickness Mt, reflecting the sensitivity of thin plates to changes in welding speed. When the steel pipe thickness Mt is large, the growth rate of the ln(Mt+1) part slows down, reflecting the relative insensitivity of thick plates to changes in welding speed.

[0071] pass The numerator of this part is divided by the denominator of ln(Mt+1). This ratio represents the dynamic adjustment value of the welding speed relative to the reference speed under the influence of the steel pipe thickness Mt. As the welding speed Vw increases or the steel pipe thickness Mt decreases, the calculated dynamic adaptive welding value Wda increases;

[0072] This part is logarithmically transformed by adding a zero division constant 1 to the carbon equivalent Cmn to compress the dynamic range of the data. Even if the carbon equivalent value is large, the value of its logarithmic term will not increase infinitely, so as to avoid excessive influence on the dynamic adaptive welding value Wda when the carbon equivalent Cmn takes an extreme value. Specifically:

[0073] The logarithmic influence term of the carbon equivalent Cmn in ln(α×Cmn+1) increases with the increase of the carbon equivalent Cmn of the steel pipe to be processed, which means that the hardening tendency of the steel pipe to be processed is greater, the sensitivity to cold cracking during welding is stronger, and the welding difficulty increases. It is necessary to reduce the welding rate to compensate for the process difficulty. The value of the denominator of ln(α×Cmn+1) increases to reduce the calculated dynamic adaptive welding value Wda;

[0074] In this embodiment:

[0075] The dynamic adaptive welding value Wda calculated by the dynamic adaptive welding value algorithm unit comprehensively reflects the influence of welding speed and steel pipe thickness on the welding process. By real-time adjustment of key parameters such as welding current and welding speed, it can ensure that the welding process is always carried out in the best state, significantly improving the quality and stability of the weld; carbon equivalent is a key indicator for measuring the welding performance of steel. It comprehensively reflects the influence of carbon and other alloying elements in steel on the hardening tendency and cold crack sensitivity of the welding heat-affected zone. By incorporating the carbon equivalent Cmn of the steel pipe to be processed into the calculation of the dynamic adaptive welding value algorithm unit, welding defects (such as cold cracks, pores, etc.) caused by excessively high carbon equivalent can be effectively avoided, thereby significantly improving the intrinsic quality and appearance quality of the weld.

[0076] In traditional straight seam pipe welding machines without a control system, workers need to frequently stop the machine to adjust welding parameters based on their operating experience to accommodate different steel pipe thicknesses and carbon equivalents. However, the dynamic adaptive welding value algorithm unit can calculate and adjust welding parameters in real time, reducing downtime and improving equipment utilization and production efficiency. This method of dynamically adjusting welding parameters through intelligent control in straight seam pipe welding machines can reduce unnecessary energy consumption, thereby lowering production costs. In addition, the intelligent control of this control system can improve the stability and consistency of the welding process, reduce the impact of human factors on welding quality, and ensure that the quality of each welded pipe meets high standards.

[0077] See also Figure 1 , the algorithm unit of environmental adaptability welding value is as follows:

[0078]

[0079] in:

[0080] Wca represents the environmental adaptability welding value;

[0081] Wda represents the dynamic adaptive welding value, which is calculated by the dynamic adaptive welding value algorithm unit;

[0082] Ta represents the ambient temperature, which is the temperature of the steel pipe when the straight seam welding is performed. It is obtained in real time by the temperature sensor. Ta∈[20,30]. When the ambient temperature is lower than 20 degrees, the value is 20, and when the ambient temperature is higher than 30 degrees, the value is 30.

[0083] Topt represents the ideal temperature, which is the ideal value of the ambient temperature. It is the median value of the suitable temperature range for straight seam welded pipe operation. Specifically:

[0084] When the ambient temperature is low, the metal cooling rate is accelerated, which will lead to abnormal metallographic structure and deteriorate the mechanical properties of the weld, manifested as increased brittleness, reduced impact resistance, and even cold cracks. When the ambient temperature is too high, it will accelerate the thermal aging of equipment (such as accelerated aging of circuit boards and cable insulation layers), increase workers' operating discomfort, and indirectly affect operating accuracy. Ventilation and heat dissipation need to be strengthened. The most suitable ambient temperature range for straight seam welding of steel pipes is 15°C to 35°C, and the ideal temperature Topt = (15+35) / 2 = 25. When the temperature is below 5°C, turn on the induction heater to preheat the welding material. When the temperature exceeds 40°C, strengthen the ventilation of the workshop and configure the air conditioning system to lower the workshop temperature.

[0085] Trange represents the temperature deviation from the reference value, which is half of the suitable temperature range for straight seam welded pipe operation. The temperature deviation from the reference value is Trange = (35-15) / 2 = 10;

[0086] Ha represents the ambient humidity, which is the air humidity when the steel pipe is straight seam welded. It is obtained in real time through the humidity sensor. Ha∈[45,55]. When the ambient humidity is lower than 45 degrees, the value is 45, and when the ambient humidity is higher than 55 degrees, the value is 55.

[0087] Hopt stands for ideal humidity, which is the ideal value of ambient humidity. It is the median value of the suitable humidity range for straight seam welded pipe operation. Specifically:

[0088] When the air humidity in the workshop is too high, water vapor will penetrate into the molten pool, forming hydrogen pore defects, while increasing the hydrogen content of the weld metal, reducing toughness and causing the risk of delayed cracking. When the humidity is too low, the risk of static electricity accumulation increases, which will interfere with the stability of the equipment's electronic components. The most suitable ambient temperature range for straight seam welding of steel pipes is 40% to 60%, and the ideal humidity Hopt = (40 + 60) / 2 = 50;

[0089] Hrange represents the humidity deviation from the reference value. Take half of the suitable temperature range for straight seam welded pipe operation. The humidity deviation from the reference value Hrange = (60-40) / 2 = 10;

[0090] This part is normalized by subtracting the ideal temperature Topt from the ambient temperature Ta and then using the temperature deviation from the reference value Trange to reflect the impact of the ambient temperature deviation from the most suitable value on the environmental adaptability welding value. The square of the normalized difference is taken as the minuend of 1. Represents the degree of deviation between the ambient temperature Ta and the ideal temperature Topt. As the value of the ambient temperature Ta deviates from the ideal temperature Topt, this part The lower the value, the lower the calculated environmental adaptability welding value Wca;

[0091] Same, this part Represents the degree of deviation between the ambient humidity Ha and the ideal temperature Hopt. As the value of the ambient humidity Ha deviates from the ideal temperature Hopt, this part The lower the value, the lower the calculated environmental adaptability welding value Wca;

[0092] In this embodiment, the environmental adaptability welding value algorithm unit calculates the environmental adaptability welding value Wca by comprehensively considering the deviation value between the ambient temperature Ta and the ideal temperature Topt, as well as the deviation value between the ambient humidity Ha and the ideal temperature Hopt. This enables the control system in the high-frequency straight seam welded pipe unit to dynamically adjust the welding parameters of the high-frequency straight seam welded pipe unit according to changes in the ambient temperature and humidity. This dynamic adjustment method ensures that the welding process can remain stable under different environmental conditions, thereby reducing welding defects caused by environmental factors, such as pores and cracks, and significantly improving the intrinsic quality and appearance quality of the weld. The environmental adaptability welding value Wca is calculated by the environmental adaptability welding value algorithm unit. This value comprehensively reflects the adaptability of the welding process under the current environmental conditions. Through the environmental adaptability welding value Wca, key parameters such as the welding current and welding speed of the high-frequency straight seam welded pipe unit can be further optimized to ensure that the welding process is always carried out in the optimal state.

[0093] See also Figure 1 , the welding speed adjustment value algorithm unit is as follows:

[0094]

[0095] in:

[0096] Vnew represents the adjusted welding speed;

[0097] V0 represents the base speed, which is the base speed for welding and the preset value is 2m / min;

[0098] Wda represents the dynamic adaptation welding value;

[0099] Wca represents the environmental adaptability welding value;

[0100] Lp represents the current load power, which is the actual power consumed by the straight seam welded pipe unit during operation and is obtained through power meter monitoring;

[0101] Tp represents the maximum load power, which is the load power when the straight seam welded pipe unit is at full power output. It is obtained through monitoring with a power meter;

[0102] This part is calculated by dividing the environmental adaptability welding value Wca by the dynamic adaptation welding value Wda, which represents the deviation of the environmental adaptability welding value Wca from the dynamic adaptation welding value Wda after being affected by the ambient temperature and humidity. Specifically:

[0103] along with The decrease in this ratio means that the greater the difference between the environmental adaptability welding value Wca and the dynamic adaptation welding value Wda, the greater the deviation of the deviation item, which means that the straight seam welded pipe unit is greatly affected by the ambient temperature and humidity. The calculated adjusted welding speed should be reduced to improve the welding accuracy, thereby reducing the adverse effects of ambient temperature and humidity on the straight seam welded pipe.

[0104] Use the logarithmic function to map the impact value of this part of the deviation term to the logarithmic interval. With the reduction of this ratio, the calculated adjusted welding speed Vnew will decrease, but the speed reduction will be slowed down to avoid excessive adjustment of the welding speed;

[0105] This part is obtained by dividing the current load power Lp by the maximum load power Tp, reflecting the ratio of the current load to the maximum load. Specifically:

[0106] When the current load power Lp approaches the maximum load power Tp, it means that the load power of the straight seam welded pipe unit has reached the limit value. The value of this part is close to 0.5. In order to reduce the load power of the straight seam welded pipe unit, the welding speed is adjusted to half of the original. The square root function is used here to amplify the adjustment effect of the welding speed at low load, making the impact of load changes on the welding speed more sensitive.

[0107] In this embodiment:

[0108] When the environmental adaptability welding value Wca is less than 0.6 times the dynamic adaptation welding value Wda, the calculation in the welding speed adjustment value algorithm unit is triggered. The welding speed adjustment value algorithm unit uses the reference speed V0 during welding as the calculation basis, and comprehensively considers the deviation of the environmental adaptability welding value Wca from the dynamic adaptation welding value Wda after the influence of ambient temperature and ambient humidity, as well as the proportional relationship between the current load and the maximum load, to calculate the adjusted welding speed Vnew, so that the welding speed can more accurately match the current welding conditions, which helps to reduce welding defects caused by environmental changes (such as temperature and humidity fluctuations) or high load of the unit, and improves the quality of the welded pipe after welding is completed.

[0109] Moreover, when the load power Lp is close to the maximum load power Tp, it means that the load of the unit is large. At this time, the welding speed can be reduced by calculating the welding speed adjustment value algorithm unit, which can reduce the load of the unit and avoid overload operation of the equipment. This helps to protect the key components of the unit (such as motors, transmission systems, etc.) and extend the service life of the equipment. Real-time monitoring of the load power and adjustment of the welding speed can keep the unit operating within a safe and stable load range, which helps to reduce equipment failures and downtime caused by overload and improve equipment utilization and production efficiency.

[0110] This method of dynamically adjusting parameters enables the control system in the straight seam welded pipe unit to form an adjustable closed-loop framework, and enables the straight seam welded pipe unit to adapt to a variety of complex operating environments, which is worthy of promotion and use.

[0111] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A high-frequency straight seam pipe welding unit with high-precision transmission, characterized in that: Including a control system, the control system specifically includes: A data collection module is used to collect welding information of the high-frequency straight seam welded pipe unit, including steel pipe thickness, welding speed, carbon equivalent, ambient temperature, ambient humidity, and current load power; The data preprocessing module decodes and preprocesses the welding information to obtain the calculation parameters in the calculation processing module; Computing and processing module, including: The dynamic adaptive welding value algorithm unit is used to calculate the dynamic adaptive welding value Wda based on the adjustment value of the welding speed relative to the base speed under the influence of the steel pipe thickness and the carbon equivalent of the steel pipe to be processed. The unit can automatically adjust the welding parameters based on the different dynamic adaptive welding values Wda for different steel pipes to be processed, thus reducing downtime. The environmental adaptability welding value algorithm unit is used to calculate the environmental adaptability welding value Wca after adjusting the ambient temperature and humidity by taking the dynamic adaptive welding value Wda as an input parameter and combining the degree of deviation of the ambient temperature and humidity from the optimal values, so as to reduce welding defects caused by environmental factors; The welding speed adjustment value algorithm unit is used to use the dynamic adaptation welding value Wda and the dynamic adaptation welding value Wda as input parameters when the environmental adaptability welding value Wca is less than 0.6 times the dynamic adaptation welding value Wda, and calculate the adjusted welding speed Vnew in combination with the current load power of the unit, and reduce the subsequent welding speed according to the adjusted welding speed Vnew to improve the welding accuracy.

2. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 1 is characterized in that: The welding information collection of the high-frequency straight seam welded pipe unit specifically includes: The welding speed Vw is obtained by real-time monitoring through the wheel encoder set in the welding assembly; Obtain the thickness of the steel pipe Mt by measuring with a laser thickness gauge; Obtain the carbon equivalent Cmn from the material quality certificate attached to the steel pipe when it leaves the factory; Obtain the ambient temperature Ta in real time through the temperature sensor; Get the ambient humidity Ha in real time through the humidity sensor; The current load power Lp and maximum load power Tp of the unit are monitored by a power meter.

3. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 1 is characterized in that: The calculation logic of the dynamic adaptive welding value algorithm unit is as follows: S11, calculating the arctangent value of the ratio of the welding speed Vw to the reference speed V0 using an inverse tangent function, which is used to reflect the impact of the deviation of the welding speed Vw from the reference speed V0 on the dynamic adaptive welding value Wda. When the deviation is low, the characteristics of the inverse tangent function sensitively reflect small changes in speed. When the speed difference is large, the change rate will gradually slow down to avoid excessive influence on the dynamic adaptive welding value Wda in the calculation when the speed difference is large; S12, by adding the zero division constant 1 to the steel pipe thickness Mt, the influence value of the steel pipe thickness Mt on the dynamic adaptive welding value Wda is mapped to a logarithmic growth interval through a logarithmic function to reflect the nonlinear influence of the steel pipe thickness Mt on the dynamic adaptive welding value Wda.

4. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 3 is characterized in that: The nonlinear effect of the steel pipe thickness Mt on the dynamic adaptive welding value Wda is specifically due to the nonlinear effect of the steel pipe thickness Mt on the welding process. Thin steel pipes are more sensitive to changes in welding speed, and thick steel pipes are relatively slow to respond to changes in welding speed due to their large heat capacity. The characteristics of the logarithmic function are used to smooth out this nonlinear effect.

5. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 1 is characterized in that: The calculation logic of the environmental adaptability welding value algorithm unit is as follows: S21, normalizing the absolute difference between the ambient temperature Ta and the ideal temperature Topt by the temperature deviation reference value Trange, so as to reflect the influence of the deviation of the ambient temperature Ta from the ideal temperature Topt on the calculation of the environmental adaptability welding value Wca; S22, normalizing the absolute difference between the ambient humidity Ha and the ideal humidity Hopt by the humidity deviation reference value Hrange, so as to reflect the influence of the ambient humidity Ha deviating from the ideal humidity Hopt on the calculation of the environmental adaptability welding value Wca.

6. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 1 is characterized in that: The calculation logic of the welding speed adjustment value algorithm unit includes: S31, a ratio obtained by dividing the environmental adaptability welding value Wca by the dynamic adaptive welding value Wda, representing a deviation term of the environmental adaptability welding value Wca from the dynamic adaptive welding value Wda after being affected by the ambient temperature and ambient humidity; As the ratio decreases, the deviation value of the deviation item increases, which means that the straight seam welded pipe unit is greatly affected by the ambient temperature and humidity. The calculated adjusted welding speed Vnew is reduced and the welding accuracy is improved to reduce the adverse effects of ambient temperature and humidity on the straight seam welded pipe.

7. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 6, characterized in that: The calculation logic of the welding speed adjustment value algorithm unit also includes: S32, using a logarithmic function to map the influence value of the deviation term to a logarithmic interval. As the ratio decreases, the calculated adjusted welding speed Vnew decreases, and the speed reduction will slow down to avoid excessive adjustment of the welding speed Vw.

8. The high-frequency straight seam pipe welding machine unit with high-precision transmission according to claim 6 is characterized in that: The calculation logic of the welding speed adjustment value algorithm unit also includes: S33, the current load power Lp is divided by the maximum load power Tp to reflect the proportional relationship between the current load and the maximum load. Specifically: When the current load power Lp approaches the maximum load power Tp, it means that the load power of the straight seam welded pipe unit has reached the limit value. In order to reduce the load power of the straight seam welded pipe unit, the welding speed is adjusted to half of the original speed.

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