Stranding machine self-adaptive to wire characteristics and control system thereof

Abstract

The invention relates to the technical field of wire stranding equipment, in particular to a wire stranding machine self-adaptive to wire characteristics and a control system of the wire stranding machine. The stranding machine comprises a machine body, a stranding bow used for stranding wires and a pre-twisting part used for pre-twisting the wires, the machine body is provided with a wire inlet and a sensor used for identifying the types of the wires, the pre-twisting part is arranged at the wire inlet, a first temperature adjusting mechanism is arranged at the pre-twisting part, and a second temperature adjusting mechanism is arranged at the pre-twisting part. The first temperature adjusting mechanism comprises a first refrigerating part used for processing hard wires and a first heating part used for processing soft wires, and the first temperature adjusting mechanism can be switched between the first refrigerating part and the first heating part. According to the stranding machine self-adaptive to the wire characteristics and the control system thereof provided by the invention, the processing requirements of different wires are met by automatically identifying the types of the wires and automatically adjusting the pre-twisting processing mode according to the characteristics of the wires, and the processing efficiency and the wire quality are improved.

Description

Technical Field

[0001] The invention relates to the technical field of wire stranding equipment, and in particular to a wire stranding machine with adaptive wire material characteristics and a control system thereof. Background Art

[0002] In the field of wire stranding machines, the diversity of wires has put forward higher requirements on processing effects. Traditional wire stranding machines usually adopt fixed processing methods in the pre-twisting and untwisting stages, such as cooling during pre-twisting and heating during untwisting. This one-size-fits-all approach can meet processing needs in some cases. However, with the continuous increase in wire types and the diversification of characteristics, fixed processing methods have gradually revealed their limitations. For example, for soft wires such as copper wire or aluminum wire, proper heating during pre-twisting can improve its plasticity, while for hard wires such as alloy wire or steel wire, cooling during pre-twisting can help improve its hardness and strength.

[0003] For example, in the patent announcement number CN118645313A and the name of "A wire twisting machine and its control system", the wire twisting machine includes a fuselage, a twisting bow for twisting wires and a pre-twisting part for pre-twisting the wires, the fuselage is provided with a wire inlet, the pre-twisting part is arranged at the wire inlet, a refrigeration section is provided at the pre-twisting part, the refrigeration section is provided with a cooling clamp, when the pre-twisting part pre-twists the wire, the cooling clamp synchronously clamps and cools the wire, the wire twisting machine also includes a back-twisting part and a straightening wheel part, the back-twisting part and the straightening wheel part are both arranged inside the fuselage, the back-twisting part is provided with a heating section, the heating section is provided with a plurality of hot air nozzles, when the back-twisting part back-twistes the wire, the hot air nozzle synchronously sprays hot air to the wire, and the length of the heating section is greater than the length of the cooling section. The disadvantages are: there is a lack of automatic recognition mechanism for wire types, and the processing methods in the pre-twisting and de-twisting stages cannot be automatically adjusted according to the different characteristics of the wires, resulting in low processing efficiency in certain specific cases, and may even affect the quality of the wire due to improper processing methods. Summary of the invention

[0004] In view of the deficiency of existing stranding machines in that they lack the ability to automatically identify and adaptively adjust wires with different characteristics, the purpose of the present invention is to provide a stranding machine and a control system that are adaptive to wire characteristics. By automatically identifying the wire type and automatically adjusting the pre-twisting processing method according to its characteristics, the processing requirements of different wires can be met, thereby improving processing efficiency and wire quality.

[0005] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a wire twisting machine with adaptive wire characteristics, comprising a machine body, a twisting bow for twisting wires and a pre-twisting part for pre-twisting the wires, the machine body being provided with a wire inlet and a sensor for identifying the type of wires, the pre-twisting part being arranged at the wire inlet, the pre-twisting part being provided with a first temperature regulating mechanism, the first temperature regulating mechanism comprising a first refrigeration part for processing hard wires and a first heating part for processing soft wires, the first temperature regulating mechanism being able to switch between the first refrigeration part and the first heating part, and when the pre-twisting part is pre-twisting the wires, the first refrigeration part or the first heating part synchronously cools or heats the wires.

[0006] In the present technical solution, the wire twisting machine can automatically identify the type of wire entering the device through the sensor set on the machine body, whether it is soft copper wire, aluminum wire, or hard alloy wire, steel wire, it can be accurately identified. For soft wires such as copper wire or aluminum wire, when the pre-twisting part is in operation, the first temperature regulating mechanism will automatically switch to the first heating part to work, and the first refrigeration part will not work at this time, and the wires will be heated. Heating can increase the plasticity of these wires, making them easier to be shaped and twisted during the pre-twisting process, thereby improving the quality and stability of the twisting. For hard wires such as alloy wires or steel wires, the first temperature regulating mechanism will switch to the first refrigeration part to work, and the first heating part will work at this time to cool the wires. Cooling can further improve the hardness and strength of these wires, so that they maintain better shape and stability during the pre-twisting and twisting process, and also extend the service life of the wires. By automatically identifying the wire type and automatically adjusting the pre-twisting method according to its characteristics, the stranding machine can accurately process different wires, avoiding the errors and damage that may occur when traditional stranding machines process different wires.

[0007] The present invention is further configured as follows: the stranding machine further includes a detwisting section and a straightening wheel section, both of which are arranged inside the machine body, and a second temperature regulating mechanism is provided at the detwisting section, and the second temperature regulating mechanism includes a second cooling section and a second heating section, and the second temperature regulating mechanism can switch between the second cooling section and the second heating section, and when the detwisting section detwistes the wire, the second cooling section or the second heating section simultaneously cools or heats the wire. The detwisting section can perform necessary detwisting treatment on the wire, eliminate the torsional stress that may be generated in the wire during processing, and improve the straightness and stability of the wire; while the straightening wheel section further straightens the wire to ensure that the wire reaches an ideal straight state before entering the subsequent processing link. During the detwisting operation, the second temperature regulating mechanism can simultaneously cool or heat the wire. For soft wires that need to be heated to increase flexibility, the second heating section will start; and for hard wires that need to be cooled to increase hardness and strength, the second cooling section will come into play. This intelligent temperature regulation method ensures that the wires can maintain the best state during the detwisting process, providing a strong guarantee for subsequent processing. By introducing the detwisting section and the straightening wheel section, and performing intelligent temperature regulation on the wires, the stranding machine can process various types of wires more efficiently. Detwisting and straightening treatment not only improves the straightness and stability of the wires, but also reduces the error and damage risk in the subsequent processing.

[0008] The present invention is further configured as follows: the first refrigeration part and the second refrigeration part are cooling fixtures, and the first heating part and the second heating part are hot air nozzles. The first refrigeration part and the second refrigeration part are cooling fixtures, which directly contact the wire and use the cooling medium inside the fixture to quickly take away the heat of the wire to achieve an efficient cooling effect. This cooling method not only has a fast response speed, but also can accurately control the cooling degree and range of the wire to ensure that the wire maintains stable physical properties during the processing. The first heating part and the second heating part are hot air nozzles, which heat the wire by spraying hot air onto the surface of the wire. This heating method has the characteristics of high flexibility and uniform heating. It can adjust the flow rate and temperature of the hot air according to the actual situation of the wire and processing requirements, ensure that the wire is heated evenly during the heating process, and avoid performance changes or damage caused by local overheating. By using cooling fixtures and hot air nozzles as cooling and heating components, the stranding machine can easily cope with different types of wires and processing requirements. Whether it is soft wires that need cooling or hard wires that need heating, the stranding machine can achieve precise control and processing of the wires by adjusting the working status of the cooling or heating components.

[0009] The present invention is further configured as follows: a lubrication part for spraying lubricating spray on the wire is provided at the pre-twisting part, and when the stranding machine is in operation, the wire first passes through the lubrication part and then passes through the first temperature regulating mechanism. By providing the lubrication part at the pre-twisting part, the stranding machine can first lubricate the wire when in operation, and then pass through the first temperature regulating mechanism for temperature regulation, thereby ensuring that the wire has good lubricity and temperature stability during subsequent processing, and reducing wire damage and performance changes caused by friction and temperature changes. The provision of the lubrication part enables the stranding machine to spray an appropriate amount of lubricating spray according to the characteristics and processing requirements of the wire, which can not only effectively reduce the friction and wear of the wire during processing, extend the service life of the wire, but also improve the surface finish and processing accuracy of the wire. After passing through the lubrication part, the wire enters the first temperature regulating mechanism for temperature regulation. Due to the presence of the lubricating spray, a thin lubricating film is formed on the surface of the wire, which can reduce the direct impact of temperature changes on the wire to a certain extent, so that the first temperature regulating mechanism can more accurately control the temperature of the wire.

[0010] A control system for a stranding machine with adaptive wire material properties, comprising a stranding machine with adaptive wire material properties, and further comprising: Thermal imaging module, used to monitor the temperature gradient on the wire surface in real time; The wire type identification module identifies the wire type according to the sensor, retrieves the best pre-twisting strategy and the best back-twisting strategy from the preset material parameter library based on the wire type, and adjusts the working status of the pre-twisting part and the back-twisting part in real time; The temperature control subsystem adjusts the wire surface temperature gradient monitored by the thermal imaging module through local cooling or heating to keep the wire at the optimal temperature during the pre-twisting and untwisting process.

[0011] In this technical solution, the control system integrates a thermal imaging module, a wire type recognition module and a temperature control subsystem to achieve comprehensive monitoring and intelligent control of the stranding machine's operating status. By automatically identifying the wire type and retrieving the optimal pre-twisting and back-twisting strategies, the system can adjust the stranding machine's working status in real time without manual intervention, greatly improving processing efficiency and automation. The thermal imaging module can monitor the temperature gradient on the wire surface in real time and provide accurate data support for the temperature control subsystem. The temperature control subsystem ensures that the wire is always in the optimal temperature state during the pre-twisting and back-twisting process through local cooling or heating adjustments based on the monitoring data, avoiding changes or damage to the wire performance caused by temperature fluctuations. The wire type recognition module can accurately identify the wire type and retrieve the optimal pre-twisting and back-twisting strategies from the preset material parameter library. The control system can adapt to wires of different types and characteristics, and can achieve an efficient and stable processing process without changing equipment or adjusting parameters.

[0012] The present invention is further configured as follows: the temperature control subsystem comprises: A first temperature control module generates an optimal temperature in a pre-twisted state according to a preset wire pre-twisted model, compares the real-time temperature information obtained by the thermal imaging module with the optimal temperature in the pre-twisted state, and outputs a first temperature adjustment mechanism control instruction according to the comparison result, so that the first refrigeration unit performs a refrigeration process on the wire or the first heating unit performs a heating process; The second temperature control module generates an optimal temperature in the untwisting state according to a preset wire untwisting model, compares the real-time temperature information obtained by the thermal imaging module with the optimal temperature in the untwisting state, and outputs a second temperature adjustment mechanism control instruction according to the comparison result, so that the second refrigeration unit performs cooling treatment on the wire or the second heating unit performs heating treatment.

[0013] In this technical solution, the temperature control subsystem is divided into a first temperature control module and a second temperature control module, which perform independent temperature management for the pre-twisting and untwisting states of the wire respectively. It ensures that the wire can obtain the most suitable temperature treatment at each processing stage, thereby improving the processing quality and efficiency. The first temperature control module and the second temperature control module both generate the optimal temperature in their respective states based on the preset wire pre-twisting model and untwisting model. The temperature control module compares the wire surface temperature obtained by the thermal imaging module with the preset optimal temperature in real time, and quickly outputs the temperature adjustment instruction according to the comparison result, thereby ensuring the temperature stability and consistency of the wire during the entire processing process and avoiding the influence of temperature fluctuations on the performance of the wire.

[0014] The present invention is further configured as follows: the control system also includes a pre-twisting optimization module, which collects and analyzes the pre-twisting parameters of the wire in real time, establishes a mathematical relationship model between the pre-twisting state of the wire and the cooling temperature, and dynamically adjusts the temperature in the pre-twisting state according to the real-time monitoring data to optimize the pre-twisting effect. The pre-twisting optimization module captures and analyzes various parameters of the wire in the pre-twisting process in real time to evaluate the pre-twisting state of the wire. Through in-depth analysis of these data, the module can establish an accurate mathematical relationship model between the pre-twisting state of the wire and the cooling temperature, so that the control system can dynamically and accurately adjust the temperature conditions in the pre-twisting state according to the real-time monitored data, ensuring that the wire can achieve the best pre-twisting effect during the pre-twisting process. By optimizing the pre-twisting temperature, not only the stranding quality of the wire is improved, but also the overall performance and stability of the wire are further enhanced.

[0015] The present invention is further configured as follows: the establishment of a mathematical relationship model between the wire pre-twisted state and the cooling temperature comprises: Real-time collection of pre-twisting angle, pre-twisting speed and wire tension parameters during wire pre-twisting; Remove outliers and noise from the collected data; Extract characteristic variables related to the wire pre-twisting state and cooling temperature from the data; The mathematical relationship model between the wire pre-twisting state and cooling temperature was established by using the multivariate linear regression method. The established mathematical model was verified using the cross-validation method.

[0016] In this technical solution, by real-time collection of key parameters in the wire pre-twisting process, including pre-twisting angle, pre-twisting speed and wire tension, comprehensive and timely data support is provided for the model, ensuring that the model can be predicted and adjusted based on the latest and real wire state. The outliers and noise of the collected data are removed, which effectively improves the data quality and can avoid prediction deviations caused by data errors or interference. Extracting characteristic variables closely related to the wire pre-twisting state and cooling temperature from the cleaned data provides core input for establishing a mathematical model, which helps to focus on key information, simplify the complexity of the model, and improve the prediction ability of the model. The multivariate linear regression method is used to establish a mathematical relationship model between the wire pre-twisting state and the cooling temperature based on the extracted characteristic variables, which can reveal the linear relationship between different variables and provide a scientific basis for the adaptive control of the stranding machine. The established mathematical model is verified by the cross-validation method to ensure the reliability and generalization ability of the model, and to evaluate the performance of the model on different data sets, thereby avoiding the problem of overfitting or underfitting, and providing a strong guarantee for practical application.

[0017] The present invention is further configured as follows: the identifying the type of wire according to the sensor comprises: The multi-spectral imaging sensor emits light of different wavelengths to illuminate the surface of the wire; The spectral characteristics of the reflected light are analyzed using a spectral analysis algorithm, and the spectral characteristic parameters are extracted and compared with the spectral characteristic database of known wire types to preliminarily identify the wire type; Taking the spectral characteristic data of known wire types as input, the neural network model is trained so that the neural network model can learn the corresponding relationship between the spectral characteristics and the wire types; The spectral feature data collected by the multispectral imaging sensor in real time is input into the pre-trained machine learning model, and the prediction result of the wire type is output based on the similarity analysis of the spectral features.

[0018] In this technical solution, a multispectral imaging sensor emits light of different wavelengths to illuminate the surface of the wire, and a spectral analysis algorithm is used to deeply analyze the spectral characteristics of the reflected light, which can capture the subtle differences on the surface of the wire, thereby achieving high-precision identification of the wire type. The extracted spectral characteristic parameters are compared with the spectral characteristic database of known wire types to preliminarily identify the wire type, which is not only fast but also accurate, and can give a preliminary judgment of the wire type in a short time, providing an important basis for the subsequent control of the stranding machine. The spectral characteristic data of the known wire type is used as input to train the neural network model, so that the neural network model can learn the complex correspondence between the spectral characteristics and the wire type. With the continuous increase of training data, the recognition ability of the model will continue to improve, showing a strong self-learning and self-optimization ability. The spectral characteristic data collected by the multispectral imaging sensor in real time is input into the pre-trained machine learning model, and the prediction result of the wire type is quickly output based on the similarity analysis of the spectral characteristics, ensuring that the stranding machine can be adjusted in time according to the changes in the wire type, so as to maintain the best working state.

[0019] The present invention is further configured as follows: the first temperature control module includes a first refrigeration unit and a second refrigeration unit, the first refrigeration unit includes a first cold flow control subunit and a first cold temperature control subunit, which are used to adjust the flow and temperature of the fluid in the first refrigeration part; the second refrigeration unit includes a second cold flow control subunit and a second cold temperature control subunit, which are used to adjust the flow and temperature of the fluid in the second refrigeration part; The second temperature control module includes a first heating unit and a second heating unit, the first heating unit includes a first heat flow control subunit and a first heat temperature control subunit, which are used to adjust the flow and temperature of the fluid in the first heating part; the second heating unit includes a second heat flow control subunit and a second heat temperature control subunit, which are used to adjust the flow and temperature of the fluid in the second heating part.

[0020] In this technical solution, by setting up the first temperature control module and the second temperature control module respectively, the system realizes the refined temperature management of different parts in the stranding machine. Each module contains two independent units, namely the cooling unit or the heating unit, which can adjust the fluid flow and temperature in their respective responsible areas respectively, so as to ensure that the wire is in the best temperature environment during the processing. Since each cooling or heating unit is equipped with a flow control subunit and a temperature control subunit, the system can flexibly adjust the working state of each unit according to the needs, so that the stranding machine can cope with different wire characteristics and processing requirements, and realize more flexible and efficient temperature control.

[0021] The advantages of the present invention are: (1) by automatically identifying the type of wire and automatically adjusting the pre-twisting processing method according to its characteristics, the processing requirements of different wires can be met, and the processing efficiency and wire quality can be improved; (2) the wire twisting machine can automatically identify the type of wire entering the device through the sensor set on the machine body, and all wires can be accurately identified. For soft wires such as copper wires or aluminum wires, when the pre-twisting part is in operation, the first temperature adjustment mechanism will automatically switch to the first heating part to heat the wires. The heating can increase the plasticity of these wires, making them easier to be shaped and twisted during the pre-twisting process. , thereby improving the quality and stability of twisting. For hard wires such as alloy wires or steel wires, the first temperature regulating mechanism will switch to the first refrigeration section to cool the wires. Cooling can further improve the hardness and strength of these wires, so that they can maintain better shape and stability during pre-twisting and twisting, and also extend the service life of the wires. By automatically identifying the wire type and automatically adjusting the pre-twisting processing method according to its characteristics, the stranding machine achieves precise processing of different wires, avoiding errors and damage that may occur when traditional stranding machines process different wires. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural schematic diagram of the wire stranding machine in the present invention; Figure 2 This is a schematic diagram of the structure of a first temperature adjustment mechanism in one embodiment of the present invention; Figure 3 It is a structural schematic diagram of a pre-twisting portion in one embodiment of the present invention; Figure 4 It is a structural schematic diagram of a detwisting portion in one embodiment of the present invention; Figure 5 It is a functional module diagram of the control system of the stranding machine of the present invention.

[0023] In the figure: 1, machine body; 11, cable inlet; 2, twisting bow; 3, pre-twisting part; 31, first refrigeration part; 32, first heating part; 33, lubrication part; 4, detwisting part; 41, second refrigeration part; 5, straightening wheel part. DETAILED DESCRIPTION

[0024] In the description of this embodiment, it should be noted that, if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", "front", "back", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore, cannot be understood as limiting the present invention. In addition, if the terms "first", "second", and "third" appear, they are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0025] The present invention will be further described below in conjunction with the accompanying drawings.

[0026] Embodiment 1: Reference Figures 1 to 4 A wire twisting machine with adaptive wire characteristics comprises a machine body 1, a twisting bow 2 for twisting wires and a pre-twisting part 3 for pre-twisting the wires, the machine body 1 is provided with a wire inlet 11 and a sensor for identifying the type of wires, the pre-twisting part 3 is arranged at the wire inlet 11, and a first temperature regulating mechanism is provided at the pre-twisting part 3, the first temperature regulating mechanism comprises a first refrigeration part 31 for processing hard wires and a first heating part 32 for processing soft wires, the first temperature regulating mechanism can switch between the first refrigeration part 31 and the first heating part 32, when the pre-twisting part 3 performs pre-twisting operation on the wires, the first refrigeration part 31 or the first heating part 32 synchronously cools or heats the wires.

[0027] In this embodiment, the wire twisting machine can automatically identify the type of wire entering the device through the sensor set on the fuselage 1, whether it is soft copper wire, aluminum wire, or hard alloy wire, steel wire, it can be accurately identified. For soft wires such as copper wire or aluminum wire, when the pre-twisting part 3 is in operation, the first temperature regulating mechanism will automatically switch to the first heating part 32 to work, and the first refrigeration part 31 will not work at this time, and the wires will be heated. Heating can increase the plasticity of these wires, making them easier to be shaped and twisted during the pre-twisting process, thereby improving the quality and stability of the twisting. For hard wires such as alloy wires or steel wires, the first temperature regulating mechanism will switch to the first refrigeration part 31 to work, and the first heating part 32 will not work at this time, and the wires will be cooled. Cooling can further improve the hardness and strength of these wires, so that they maintain better shape and stability during the pre-twisting and twisting process, and also extend the service life of the wires. By automatically identifying the wire type and automatically adjusting the pre-twisting method according to its characteristics, the stranding machine can accurately process different wires, avoiding the errors and damage that may occur when traditional stranding machines process different wires.

[0028] It can be understood that the pre-twisting section 3 is used to preliminarily form the pitch of each wire so that the length of each wire meets the twisting rate rule.

[0029] refer to Figures 1 to 4The stranding machine also includes a backtwisting section 4 and a straightening wheel section 5, both of which are arranged inside the fuselage 1. A second temperature regulating mechanism is provided at the backtwisting section 4, and the second temperature regulating mechanism includes a second cooling section 41 and a second heating section. The second temperature regulating mechanism can switch between the second cooling section 41 and the second heating section. When the backtwisting section 4 performs backtwisting operation on the wire, the second cooling section 41 or the second heating section simultaneously performs cooling or heating on the wire. The backtwisting section 4 can perform necessary backtwisting treatment on the wire, eliminate the torsional stress that may be generated in the processing of the wire, and improve the straightness and stability of the wire; while the straightening wheel section 5 further straightens the wire to ensure that the wire reaches an ideal straight state before entering the subsequent processing link. During the backtwisting operation, the second temperature regulating mechanism can simultaneously perform cooling or heating treatment on the wire. For soft wires that need to be heated to increase flexibility, the second heating unit will be activated; and for hard wires that need to be cooled to increase hardness and strength, the second cooling unit 41 will come into play. This intelligent temperature regulation method ensures that the wires can maintain the best state during the detwisting process, providing a strong guarantee for subsequent processing. By introducing the detwisting unit 4 and the straightening wheel unit 5, and performing intelligent temperature regulation on the wires, the stranding machine can process various types of wires more efficiently. The detwisting and straightening treatment not only improves the straightness and stability of the wires, but also reduces the error and damage risk in the subsequent processing.

[0030] It can be understood that in order to conveniently show the structure of the back-twist portion 44, Figure 4 Only one side of the second temperature regulating mechanism is shown.

[0031] The first refrigeration part 31 and the second refrigeration part 41 are cooling fixtures, and the first heating part 32 and the second heating part are hot air nozzles. The first refrigeration part 31 and the second refrigeration part 41 are cooling fixtures, which directly contact the wire and use the cooling medium inside the fixture to quickly take away the heat of the wire to achieve an efficient cooling effect. This cooling method not only has a fast response speed, but also can accurately control the cooling degree and range of the wire to ensure that the wire maintains stable physical properties during the processing. The first heating part 32 and the second heating part are hot air nozzles, which heat the wire by spraying hot air onto the surface of the wire. This heating method has the characteristics of high flexibility and uniform heating. It can adjust the flow rate and temperature of the hot air according to the actual situation of the wire and processing requirements, ensure that the wire is heated evenly during the heating process, and avoid performance changes or damage caused by local overheating. By using cooling fixtures and hot air nozzles as cooling and heating components, the stranding machine can easily cope with different types of wires and processing requirements. Whether it is soft wires that need cooling or hard wires that need heating, the stranding machine can achieve precise control and processing of the wires by adjusting the working status of the cooling or heating components.

[0032] It can be understood that the stranding machine realizes the switching between cooling and heating through a switching mechanism, such as Figure 2 As shown, the first temperature regulating mechanism can slide relative to the stranding machine body and can rotate relative to the stranding machine body around the rotating shaft. This mechanical structure is a prior art and will not be described in detail here. The first refrigeration unit 31 includes a cooling fixture and its related cooling structure (coolant circulation pump, cooling tower), and the first heating unit 32 includes a hot air nozzle and its related heating structure (heater, blower). Similarly, the second refrigeration unit 41 and the second heating unit are similar to the first refrigeration unit 31 and the second heating unit, and will not be described in detail here.

[0033] It can be understood that when the first refrigeration unit 31 is working, the second heating unit is working; similarly, when the first heating unit 32 is working, the second refrigeration unit 41 is working.

[0034] refer to Figures 2 to 4 , the pre-twisting part 3 is provided with a lubricating part 33 for spraying lubricating spray on the wire. When the stranding machine is in operation, the wire first passes through the lubricating part 33 and then passes through the first temperature regulating mechanism. By setting the lubricating part 33 at the pre-twisting part 3, the stranding machine can first lubricate the wire when it is in operation, and then pass through the first temperature regulating mechanism for temperature regulation, ensuring that the wire has good lubricity and temperature stability in the subsequent processing process, and reducing the damage and performance changes of the wire caused by friction and temperature changes. The setting of the lubricating part 33 enables the stranding machine to spray an appropriate amount of lubricating spray according to the characteristics and processing requirements of the wire, which can not only effectively reduce the friction and wear of the wire during the processing, extend the service life of the wire, but also improve the surface finish and processing accuracy of the wire. After passing through the lubricating part 33, the wire enters the first temperature regulating mechanism for temperature regulation. Due to the presence of the lubricating spray, a thin lubricating film is formed on the surface of the wire. This film can reduce the direct impact of temperature changes on the wire to a certain extent, so that the first temperature regulating mechanism can more accurately control the temperature of the wire.

[0035] Embodiment 2: A control system for a stranding machine with adaptive wire material characteristics, comprising a stranding machine, and further comprising: Thermal imaging module, used to monitor the temperature gradient on the wire surface in real time; The wire type identification module identifies the wire type according to the sensor, retrieves the best pre-twisting strategy and the best back-twisting strategy from the preset material parameter library based on the wire type, and adjusts the working states of the pre-twisting part 3 and the back-twisting part 4 in real time; The temperature control subsystem adjusts the wire surface temperature gradient monitored by the thermal imaging module through local cooling or heating to keep the wire at the optimal temperature during the pre-twisting and untwisting process.

[0036] In this embodiment, reference Figure 5 , the control system integrates thermal imaging module, wire type recognition module and temperature control subsystem, realizing comprehensive monitoring and intelligent control of the operation status of the stranding machine. By automatically identifying the wire type and retrieving the optimal pre-twisting and back-twisting strategy, the system can adjust the working status of the stranding machine in real time without manual intervention, greatly improving the processing efficiency and automation level. The thermal imaging module can monitor the temperature gradient on the surface of the wire in real time and provide accurate data support for the temperature control subsystem. According to the monitoring data, the temperature control subsystem adjusts through local cooling or heating to ensure that the wire is always in the optimal temperature state during the pre-twisting and back-twisting process, avoiding changes or damage to the wire performance caused by temperature fluctuations. The wire type recognition module can accurately identify the wire type and retrieve the optimal pre-twisting and back-twisting strategy from the preset material parameter library. The control system can adapt to wires of different types and characteristics, and can achieve an efficient and stable processing process without changing equipment or adjusting parameters.

[0037] It can be understood that the optimal pre-twist strategy and back-twist strategy include those based on the material parameter library and processing experience, and can automatically recommend the best pre-twist and back-twist parameters, such as torsion angle, speed, and temperature according to the wire type, processing requirements, and historical processing data. The dynamic programming algorithm is used to optimize the combination of various parameters in the pre-twist and back-twist process to achieve the best processing effect and efficiency.

[0038] Preferably, the temperature control subsystem comprises: The first temperature control module generates an optimal temperature in a pre-twisted state according to a preset wire pre-twisted model, compares the real-time temperature information obtained by the thermal imaging module with the optimal temperature in the pre-twisted state, and outputs a first temperature adjustment mechanism control instruction according to the comparison result, so that the first refrigeration unit 31 performs a refrigeration treatment on the wire or the first heating unit 32 performs a heating treatment; The second temperature control module generates the optimal temperature in the untwisted state according to the preset wire untwisting model, compares the real-time temperature information obtained by the thermal imaging module with the optimal temperature in the untwisted state, and outputs the second temperature adjustment mechanism control instruction according to the comparison result, so that the second refrigeration unit 41 performs refrigeration treatment on the wire or the second heating unit performs heating treatment. The temperature control subsystem is divided into a first temperature control module and a second temperature control module, which perform independent temperature management for the pre-twisted and untwisted states of the wire respectively. It ensures that the wire can obtain the most suitable temperature treatment at each processing stage, thereby improving the processing quality and efficiency. The first temperature control module and the second temperature control module both generate the optimal temperature in their respective states based on the preset wire pre-twisted model and untwisted model. The temperature control module compares the wire surface temperature obtained by the thermal imaging module with the preset optimal temperature in real time, and quickly outputs the temperature adjustment instruction according to the comparison result, thereby ensuring the stability and consistency of the temperature of the wire during the entire processing process and avoiding the influence of temperature fluctuations on the performance of the wire.

[0039] Preferably, the wire pre-twisting model and the untwisting model combine the material, diameter and processing speed factors of the wire to ensure the accuracy and scientificity of temperature control.

[0040] The control system also includes a pre-twisting optimization module, which collects and analyzes the wire pre-twisting parameters in real time, establishes a mathematical relationship model between the wire pre-twisting state and the cooling temperature, and dynamically adjusts the temperature in the pre-twisting state according to the real-time monitoring data to optimize the pre-twisting effect. The pre-twisting optimization module captures and analyzes various parameters of the wire in the pre-twisting process in real time to evaluate the wire pre-twisting state. Through in-depth analysis of these data, the module can establish an accurate mathematical relationship model between the wire pre-twisting state and the cooling temperature, so that the control system can dynamically and accurately adjust the temperature conditions in the pre-twisting state according to the real-time monitored data, ensuring that the wire can achieve the best pre-twisting effect during the pre-twisting process. By optimizing the pre-twisting temperature, not only the stranding quality of the wire is improved, but also the overall performance and stability of the wire are further enhanced.

[0041] Preferably, the step of establishing a mathematical relationship model between the wire pre-twisted state and the cooling temperature includes: Real-time collection of pre-twisting angle, pre-twisting speed and wire tension parameters during wire pre-twisting; Remove outliers and noise from the collected data; Extract characteristic variables related to the wire pre-twisting state and cooling temperature from the data; The mathematical relationship model between the wire pre-twisting state and cooling temperature was established by using the multivariate linear regression method. The established mathematical model was verified according to the cross-validation method. By real-time acquisition of key parameters in the wire pre-twisting process, including pre-twisting angle, pre-twisting speed and wire tension, the model was provided with comprehensive and timely data support, ensuring that the model can be predicted and adjusted based on the latest and real wire state. The outliers and noise of the collected data were removed, which effectively improved the data quality and avoided the prediction deviation caused by data errors or interference. The characteristic variables closely related to the wire pre-twisting state and cooling temperature were extracted from the cleaned data, which provided the core input for the establishment of the mathematical model, helped to focus on key information, simplify the model complexity, and improve the prediction ability of the model. The multivariate linear regression method was used to establish a mathematical relationship model between the wire pre-twisting state and the cooling temperature based on the extracted characteristic variables, which could reveal the linear relationship between different variables and provide a scientific basis for the adaptive control of the stranding machine. The established mathematical model was verified by the cross-validation method, which ensured the reliability and generalization ability of the model, and could evaluate the performance of the model on different data sets, thereby avoiding the problem of overfitting or underfitting, and providing a strong guarantee for practical application.

[0042] It can be understood that the predicted temperature calculation formula after the wire is cooled is: Among them, T cool is the predicted temperature of the wire after cooling, T ambient is the ambient temperature, P twist is the pre-twisting parameter of the wire, P twist,max is the maximum value of the pre-twist parameter, D wire is the diameter of the wire, D wire，ref is the reference wire diameter, V flow is the fluid flow rate in the cooling fixture, V flow，ref is the reference fluid flow rate, ΔT max is the maximum temperature drop under maximum pre-twist, reference diameter and reference flow rate, α is the influence index of pre-twist parameter, β is the influence index of wire diameter, and γ is the influence index of cold fluid.

[0043] This formula not only takes into account the external factor of ambient temperature, but also the specific parameters of the stranding process, such as the pre-twisting degree and diameter of the wire, and the fluid flow rate in the cooling fixture during the cooling process. This method of comprehensive consideration of multiple factors makes the prediction results more comprehensive and accurate. Parameters such as the influence index and maximum temperature reduction value in the formula can be determined by fitting experimental data. In practical applications, the formula can be adjusted and optimized according to the specific characteristics of the stranding machine and wire to achieve the best prediction effect. By accurately predicting the temperature of the wire after cooling, the stranding machine control system can adjust the working state of the refrigeration module in time to ensure that the wire maintains a stable temperature and performance during the stranding process. This not only helps to improve the quality of the stranded wire, but also helps to improve production efficiency and reduce energy consumption and costs.

[0044] It can be understood that the ambient temperature can be approximately equivalent to the surface temperature of the cooling fixture, and can also be approximately equivalent to the fluid temperature inside the cooling fixture. It can be understood that the multivariate linear regression method includes: during the operation of the stranding machine, the pre-twisting angle, pre-twisting speed and wire tension parameters during the pre-twisting process of the wire are collected in real time; the collected data is cleaned to remove outliers and noise to ensure the accuracy and reliability of the data; characteristic variables related to the pre-twisting state and cooling temperature of the wire are extracted from the cleaned data, and these characteristic variables will be used as independent variables of the multivariate linear regression model; the mathematical relationship model between the pre-twisting state of the wire and the cooling temperature is established by the multivariate linear regression method; using the extracted characteristic variables and the corresponding cooling temperature data, the regression coefficients are estimated by the least squares method and other methods to obtain the multivariate linear regression model; the established mathematical model is verified by the cross-validation method to ensure the accuracy and stability of the model; the model is adjusted and optimized according to the verification results to improve the prediction accuracy and generalization ability of the model; during the operation of the stranding machine, the wire pre-twisting parameters are collected in real time and input into the established multivariate linear regression model, and the temperature under the pre-twisting state is dynamically adjusted according to the prediction results of the model to optimize the pre-twisting effect.

[0045] The identifying the wire type according to the sensor includes: The multi-spectral imaging sensor emits light of different wavelengths to illuminate the surface of the wire; The spectral characteristics of the reflected light are analyzed using a spectral analysis algorithm, and the spectral characteristic parameters are extracted and compared with the spectral characteristic database of known wire types to preliminarily identify the wire type; Taking the spectral characteristic data of known wire types as input, the neural network model is trained so that the neural network model can learn the corresponding relationship between the spectral characteristics and the wire types; The spectral feature data collected by the multispectral imaging sensor in real time is input into the pre-trained machine learning model, and the prediction result of the wire type is output based on the similarity analysis of the spectral features. The multispectral imaging sensor emits light of different wavelengths to illuminate the surface of the wire, and uses the spectral analysis algorithm to deeply analyze the spectral features of the reflected light, which can capture the subtle differences on the surface of the wire, thereby achieving high-precision identification of the wire type. The extracted spectral feature parameters are compared with the spectral feature database of known wire types to preliminarily identify the wire type. This is not only fast but also accurate, and can give a preliminary judgment of the wire type in a short time, providing an important basis for subsequent stranding machine control. The spectral feature data of known wire types is used as input to train the neural network model, so that the neural network model can learn the complex correspondence between spectral features and wire types. With the continuous increase of training data, the recognition ability of the model will continue to improve, showing strong self-learning and self-optimization capabilities. The spectral feature data collected in real time by the multispectral imaging sensor is input into the pre-trained machine learning model. Based on the similarity analysis of the spectral features, the prediction results of the wire type are quickly output, ensuring that the stranding machine can be adjusted in time according to the changes in the wire type, thereby maintaining the best working condition.

[0046] The first temperature control module includes a first refrigeration unit and a second refrigeration unit, wherein the first refrigeration unit includes a first cold flow control subunit and a first cold temperature control subunit, which are used to adjust the flow and temperature of the fluid in the first refrigeration unit; the second refrigeration unit includes a second cold flow control subunit and a second cold temperature control subunit, which are used to adjust the flow and temperature of the fluid in the second refrigeration unit; The second temperature control module includes a first heating unit and a second heating unit. The first heating unit includes a first heat flow control subunit and a first heat temperature control subunit, which are used to adjust the flow and temperature of the fluid in the first heating unit; the second heating unit includes a second heat flow control subunit and a second heat temperature control subunit, which are used to adjust the flow and temperature of the fluid in the second heating unit. By setting the first temperature control module and the second temperature control module respectively, the system realizes the refined temperature management of different parts of the stranding machine. Each module contains two independent units, namely a cooling unit or a heating unit, which can respectively adjust the fluid flow and temperature in their respective responsible areas, thereby ensuring that the wire is in the best temperature environment during the processing. Since each cooling or heating unit is equipped with a flow control subunit and a temperature control subunit, the system can flexibly adjust the working status of each unit according to needs, so that the stranding machine can cope with different wire characteristics and processing requirements, and realize more flexible and efficient temperature control.

[0047] The specific description of the present invention in the above embodiments is only used to further illustrate the present invention and cannot be understood as limiting the scope of protection of the present invention. Technical engineers in this field may make some non-essential improvements and adjustments to the present invention based on the contents of the above invention, which fall within the scope of protection of the present invention.

Claims

1. A stranding machine with adaptive wire properties, characterized in that: The invention comprises a body, a twisting bow for twisting wires and a pre-twisting part for pre-twisting the wires. The body is provided with a wire inlet and a sensor for identifying the type of wires. The pre-twisting part is arranged at the wire inlet. A first temperature regulating mechanism is provided at the pre-twisting part. The first temperature regulating mechanism comprises a first refrigeration part for processing hard wires and a first heating part for processing soft wires. The first temperature regulating mechanism can switch between the first refrigeration part and the first heating part. When the pre-twisting part performs pre-twisting operation on the wires, the first refrigeration part or the first heating part simultaneously cools or heats the wires.

2. A wire stranding machine with adaptive wire properties according to claim 1, characterized in that: The stranding machine also includes a detwisting part and a straightening wheel part, both of which are arranged inside the machine body. The detwisting part is provided with a second temperature regulating mechanism, and the second temperature regulating mechanism includes a second refrigeration part and a second heating part. The second temperature regulating mechanism can switch between the second refrigeration part and the second heating part. When the detwisting part detwistes the wire, the second refrigeration part or the second heating part simultaneously cools or heats the wire.

3. A wire stranding machine with adaptive wire properties according to claim 2, characterized in that: The first refrigeration part and the second refrigeration part are cooling fixtures, and the first heating part and the second heating part are hot air nozzles.

4. A wire stranding machine with adaptive wire properties according to claim 3, characterized in that: The pre-twisting portion is provided with a lubricating portion for spraying lubricating spray on the wires. When the stranding machine is in operation, the wires first pass through the lubricating portion and then pass through the first temperature regulating mechanism.

5. A control system for a stranding machine with adaptive wire characteristics, characterized in that: A stranding machine with adaptive wire properties according to any one of claims 1 to 4, further comprising: Thermal imaging module, used to monitor the temperature gradient on the wire surface in real time; The wire type identification module identifies the wire type according to the sensor, retrieves the best pre-twisting strategy and the best back-twisting strategy from the preset material parameter library based on the wire type, and adjusts the working status of the pre-twisting part and the back-twisting part in real time; The temperature control subsystem adjusts the wire surface temperature gradient monitored by the thermal imaging module through local cooling or heating to keep the wire at the optimal temperature during the pre-twisting and untwisting process.

6. A control system for a stranding machine with adaptive wire characteristics according to claim 5, characterized in that: The temperature control subsystem comprises: A first temperature control module generates an optimal temperature in a pre-twisted state according to a preset wire pre-twisted model, compares the real-time temperature information obtained by the thermal imaging module with the optimal temperature in the pre-twisted state, and outputs a first temperature adjustment mechanism control instruction according to the comparison result, so that the first refrigeration unit performs a refrigeration process on the wire or the first heating unit performs a heating process; The second temperature control module generates an optimal temperature in the untwisting state according to a preset wire untwisting model, compares the real-time temperature information obtained by the thermal imaging module with the optimal temperature in the untwisting state, and outputs a second temperature adjustment mechanism control instruction according to the comparison result, so that the second refrigeration unit performs cooling treatment on the wire or the second heating unit performs heating treatment.

7. A control system for a stranding machine with adaptive wire characteristics according to claim 5, characterized in that: The control system also includes a pre-twist optimization module, which collects and analyzes wire pre-twist parameters in real time, establishes a mathematical relationship model between the wire pre-twist state and the cooling temperature, and dynamically adjusts the temperature in the pre-twist state according to real-time monitoring data to optimize the pre-twist effect.

8. A control system for a stranding machine with adaptive wire characteristics according to claim 7, characterized in that: The mathematical relationship model between the pre-twisted state of the wire and the cooling temperature is established as follows: Real-time collection of pre-twisting angle, pre-twisting speed and wire tension parameters during wire pre-twisting; Remove outliers and noise from the collected data; Extract characteristic variables related to the wire pre-twisting state and cooling temperature from the data; The mathematical relationship model between the wire pre-twisting state and cooling temperature was established by using the multivariate linear regression method. The established mathematical model was verified using the cross-validation method.

9. The control system of a stranding machine with adaptive wire characteristics according to claim 5, characterized in that: The identifying the wire type according to the sensor includes: The multi-spectral imaging sensor emits light of different wavelengths to illuminate the surface of the wire; The spectral characteristics of the reflected light are analyzed using a spectral analysis algorithm, and the spectral characteristic parameters are extracted and compared with the spectral characteristic database of known wire types to preliminarily identify the wire type; Taking the spectral characteristic data of known wire types as input, the neural network model is trained so that the neural network model can learn the corresponding relationship between the spectral characteristics and the wire types; The spectral feature data collected by the multispectral imaging sensor in real time is input into the pre-trained machine learning model, and the prediction result of the wire type is output based on the similarity analysis of the spectral features.

10. A control system for a stranding machine with adaptive wire characteristics according to claim 5, 6, 7, 8 or 9, characterized in that: The first temperature control module includes a first refrigeration unit and a second refrigeration unit, the first refrigeration unit includes a first cold flow control subunit and a first cold temperature control subunit, which are used to adjust the flow and temperature of the fluid in the first refrigeration unit; The second refrigeration unit includes a second cold flow control subunit and a second cold temperature control subunit, which are used to adjust the flow and temperature of the fluid in the second refrigeration part; the second temperature control module includes a first heating unit and a second heating unit, the first heating unit includes a first hot flow control subunit and a first hot temperature control subunit, which are used to adjust the flow and temperature of the fluid in the first heating part; the second heating unit includes a second hot flow control subunit and a second hot temperature control subunit, which are used to adjust the flow and temperature of the fluid in the second heating part.

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