A method for accurately controlling the distribution of aluminum content in a conductor

Abstract

The present invention relates to the technical field of aluminum content distribution control, and discloses a method for accurately controlling the aluminum content distribution of a conductor, the method comprising: constructing a conductor wire drawing control model structure and a target function for solving model parameters; optimizing and solving the target function to obtain optimal model parameters; constructing the conductor wire drawing control model structure and the optimal model parameters into a conductor wire drawing control model, and using the conductor wire drawing control model to output the control parameters of the wire drawing equipment according to the conductor wire drawing process data and perform conductor wire drawing control. The present invention constructs a reward function based on the difference between the conductor aluminum content distribution and the standard distribution after different control operations and the range of the conductor temperature, and iterates the model parameters by combining information entropy and periodically adjusting the iterative learning rate weight, thereby increasing the update direction of the model parameters and the diversity of the model parameter distribution, and using the solved conductor wire drawing control model to realize conductor wire drawing with accurate control of the aluminum content distribution.

Description

Technical Field

[0001] The present invention relates to the technical field of aluminum content distribution control, and in particular to a method for accurately controlling aluminum content distribution of a conductor. Background Art

[0002] Transmission wires are an indispensable key component in modern power systems, and their performance directly affects the efficiency, safety and economy of power transmission. With the continuous growth of electricity demand, the performance requirements for transmission wires are also increasing. Among many materials, aluminum is widely used in the production of transmission wires due to its good conductivity, light weight and corrosion resistance. However, the uniformity of the distribution of aluminum content has an important influence on the performance and service life of the wire. In the wire drawing process of transmission wire production, the distribution of aluminum content may be uneven due to factors such as process parameters and equipment performance. This unevenness will increase the resistance and reduce the strength of the wire, and even cause safety hazards such as broken wires in extreme cases. Therefore, precise control of aluminum content in the generation process of transmission wires has become an important issue that needs to be solved urgently to improve the performance of transmission wires. Summary of the invention

[0003] In view of this, the present invention provides a method for accurately controlling the distribution of aluminum content in a conductor, which improves the electrical conductivity and mechanical strength of the conductor by accurately controlling the equipment parameters in the wire drawing process, thereby improving power transmission efficiency and reducing energy loss.

[0004] To achieve the above object, the present invention provides a method for accurately controlling the aluminum content distribution of a conductor, comprising the following steps:

[0005] S1: Collecting wire drawing process data, where the wire drawing process data includes wire temperature, wire drawing equipment control parameters and wire aluminum content distribution;

[0006] S2: constructing the wire drawing control model structure and solving the objective function of the model parameters in the wire drawing control model structure;

[0007] S3: Optimize and solve the objective function to obtain the optimal model parameters, where the improved policy gradient descent method is the implementation method for model optimization solution;

[0008] S4: The wire drawing control model structure and the optimal model parameters are constructed into a wire drawing control model, and the wire drawing control model is used to output the control parameters of the wire drawing equipment according to the wire drawing process data, and the wire drawing equipment is controlled according to the control parameters of the wire drawing equipment. The regulated wire drawing equipment is used to draw the wire with precise control of the aluminum content distribution. The wire drawing control model takes the wire drawing state data as input and takes the control parameters of the wire drawing equipment as output.

[0009] As a further improvement method of the present invention:

[0010] Optionally, collecting wire drawing process data in step S1 includes:

[0011] Collect wire drawing process data, wherein the wire drawing process data includes wire temperature, wire drawing equipment control parameters and wire aluminum content distribution, wherein the wire drawing equipment control parameters include drawing speed, drawing pressure and heating temperature, wherein the collection process of wire drawing process data at the tth process moment is as follows:

[0012] S11: Use the temperature sensor to obtain the wire temperature at the tth process moment ,in , Indicates the total number of process moments during the wire drawing process;

[0013] S12: Monitor the wire drawing equipment to obtain the wire drawing equipment control parameters at the tth process moment , among which the wire drawing equipment control parameters Including stretching speed , tensile pressure and heating temperature ;

[0014] S13: dividing the wire into N wire segments of equal length, and at the tth process moment, irradiating the surface of the wire segment with a laser pulse, thereby generating a tiny plasma on the surface of the wire segment;

[0015] S14: Use a spectrometer to collect characteristic spectral lines emitted by the surface plasma of each wire segment and store them in the form of spectral data, where the spectral data of the nth wire segment is :

[0016] ;

[0017] in:

[0018] is the wavelength, Indicates the nth conductor segment at the tth process time and at the wavelength The light intensity at

[0019] represents the range of wavelengths in the spectral data; in the embodiment of the present invention, is 394.4 nanometers, It is 396.1 nanometers, which is the wavelength range of the common characteristic spectral lines of aluminum;

[0020] S15: Calculate the spectral intensity of the characteristic spectral line based on the spectral data;

[0021] S16: Convert the spectral intensity into aluminum content to obtain the aluminum content of each wire segment at the tth process moment, and use the aluminum content of all wire segments at the tth process moment as the wire aluminum content distribution :

[0022] ;

[0023] ;

[0024] in:

[0025] represents the aluminum content of the nth wire segment at the tth process moment, The spectral intensity is mapped to the aluminum content using the preset aluminum content mapping coefficient.

[0026] Optionally, constructing the wire drawing control model structure in step S2 includes:

[0027] Constructing a wire drawing control model structure, wherein the wire drawing control model structure includes a state space, an action space, and a strategy control space, wherein the state space is used to receive wire drawing state data, wherein the wire drawing state data includes wire temperature and wire aluminum content distribution, the action space includes all wire drawing equipment control parameters, the strategy control space includes strategy matrix parameters and control parameters, the strategy matrix parameters include strategy values ​​between the wire drawing state data and different wire drawing equipment control parameters, and the strategy control space is used to select the wire drawing equipment control parameter with the highest strategy value corresponding to the wire drawing state data in the state space from the action space, and the control parameters are used to optimize and control the strategy matrix parameters, and the strategy matrix parameters and control parameters are model parameters in the wire drawing control model structure;

[0028] The wire drawing state data of group D wires are obtained as training data to form the training data set data of the model parameters:

[0029] ;

[0030] in:

[0031] represents the dth group of training data obtained;

[0032] represents the wire drawing state data of the wire in the dth group of training data, , Indicates wire drawing status data The wire temperature in Indicates wire drawing status data Distribution of aluminum content in the conductors;

[0033] , Indicates the distribution of aluminum content in the conductor The aluminum content of the nth conductor segment in ;

[0034] Indicates the maximum control step length of the wire in the dth group of training data.

[0035] Optionally, a target function for solving model parameters in the wire drawing control model structure is constructed based on the training data set data, including:

[0036] ;

[0037] ;

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] ;

[0043] in:

[0044] represents a discount factor; in the embodiment of the present invention, Set to 0.9;

[0045] represents the objective function for solving the policy matrix parameters, The strategy matrix parameters to be optimized;

[0046] represents the objective function of solving the control parameters, is the control parameter to be optimized;

[0047] Represents the secondary strategy matrix parameters Select the wire drawing status data The wire drawing equipment control parameters with the highest strategy value;

[0048] Indicates the use of wire drawing equipment to control parameters Wire drawing status data The wire drawing state data updated after the corresponding wire is subjected to wire drawing control;

[0049] Indicates the wire drawing state data of the wire corresponding to the d-th group of training data after g times of control operations, each control operation is that the wire drawing device controls the device according to the control parameters of the wire drawing device, and the wire is drawn according to the controlled wire drawing device;

[0050] , Indicates wire drawing status data The wire temperature in Indicates wire drawing status data Distribution of aluminum content in the conductors;

[0051] , Indicates the distribution of aluminum content in the conductor The aluminum content of the nth conductor segment in ;

[0052] Indicates the standard aluminum content of the nth conductor segment;

[0053] Indicates the preset maximum conductor temperature;

[0054] Indicates the conductor temperature The identification parameters, If it is 0, it means the wire temperature Higher than the preset maximum wire temperature , otherwise it means the wire temperature Lower than the preset maximum conductor temperature ;

[0055] represents the L2 norm;

[0056] Indicates wire drawing status data In the control parameters The state value of the following;

[0057] represents an exponential function with a natural constant as base;

[0058] represents the convolution operator;

[0059] Indicates wire drawing status data In the control parameters The control error under .

[0060] Optionally, the step S3 of optimizing and solving the objective function includes:

[0061] S31: Initialize generation strategy matrix parameters And control parameters ;

[0062] S32: Set the current iteration number of the strategy matrix parameters and the control parameters to m, where the initial value of m is 0 and the maximum value is M. Then the strategy matrix parameters obtained in the mth iteration are , the control parameter obtained in the mth iteration is , ;

[0063] S33: Calculate the strategy matrix parameters The policy gradient is:

[0064] ;

[0065] ;

[0066] ;

[0067] ;

[0068] in:

[0069] is the strategy matrix parameter Policy gradient of

[0070] is the strategy matrix parameter All wire drawing equipment control parameters and The strategy value weight sequence of the strategy values ​​between them;

[0071] A represents the set of wire drawing equipment control parameters in the strategy matrix parameters, represents the u-th group of wire drawing equipment control parameters in the wire drawing equipment control parameter set A, , U represents the total number of wire drawing equipment control parameters in the wire drawing equipment control parameter set A, express and Between strategy values The strategy value weight of

[0072] Indicates the control parameters of wire drawing equipment Wire drawing status data The strategy value between

[0073] S34: Calculate the strategy matrix parameters Information entropy , combined with the strategy matrix parameters The information entropy and policy gradient of the policy matrix parameters Iterate and get ;

[0074] S35: Calculate and obtain control parameters Gradient In the embodiment of the present invention, the gradient The calculation method is: Substitute the control parameters into the objective function , taking the control parameters as unknowns, Perform partial derivative calculations and adjust the control parameters Substitute the partial derivative calculation results to obtain the control parameters Gradient ;

[0075] S36: Use gradient descent to adjust the parameters To iterate:

[0076] ;

[0077] in:

[0078] represents the learning rate in the process of parameter iteration; in the embodiment of the present invention, Set to 0.9;

[0079] S37: Set m=m+1, return to step S33, until the maximum number of iterations M is reached, and the policy matrix parameters obtained in the Mth iteration are And control parameters as the optimal model parameters.

[0080] Optionally, the strategy matrix parameters calculated in step S34 are Information entropy , combined with the strategy matrix parameters The information entropy and policy gradient of the policy matrix parameters are iterated, including:

[0081] The strategy matrix parameters Information entropy for:

[0082] ;

[0083] ;

[0084] in:

[0085] Represents the policy matrix parameters For the information entropy of the dth group of training data;

[0086] The strategy matrix parameters The iteration formula is:

[0087] ;

[0088] ;

[0089] ;

[0090] in:

[0091] Represents the policy matrix parameters For the information entropy weight of the dth group of training data;

[0092] Represents the minimum learning rate during the iteration of the preset policy matrix parameters, represents the initial learning rate of the policy matrix parameters, represents the learning rate of the strategy matrix parameters during the mth iteration. In this embodiment of the present invention, is 0.9, is 0.4.

[0093] Optionally, the step S4 uses the wire drawing control model to output the wire drawing equipment control parameters according to the wire drawing process data, and controls the wire drawing equipment according to the wire drawing equipment control parameters, and uses the regulated wire drawing equipment to perform wire drawing with precise control of aluminum content distribution, including:

[0094] The wire drawing control model structure and the optimal model parameters are constructed as the wire drawing control model, and the collected wire drawing process data are divided into wire drawing state data and wire drawing equipment control parameters, where the wire drawing state data at the tth process moment is , the wire drawing equipment control parameters are , the wire drawing status data As the input of the wire drawing control model, the wire drawing control model is used to calculate the wire drawing state data. Output wire drawing equipment control parameters , and control the wire drawing equipment to adjust the wire drawing equipment control parameters to the wire drawing equipment control parameters , the wire is drawn continuously until the wire aluminum content distribution reaches the preset standard distribution, where the wire aluminum content distribution The difference from the standard distribution is:

[0095] ;

[0096] ;

[0097] in:

[0098] Aluminum content distribution of the conductor Differences from standard distributions;

[0099] represents the aluminum content of the nth wire segment at the tth process moment, ;

[0100] Indicates the standard aluminum content of the nth conductor segment;

[0101] like If the difference is less than the preset threshold, it means that the aluminum content distribution of the conductor Achieve standard distribution and terminate wire drawing.

[0102] Optionally, the step S15 of calculating the spectral intensity of the characteristic spectral line based on the spectral data includes:

[0103] ;

[0104] ;

[0105] ;

[0106] in:

[0107] Indicates wavelength range K wavelengths in ;

[0108] Indicates the nth conductor segment at the tth process time and at the wavelength The light intensity at .

[0109] In order to solve the above problem, the present invention provides an electronic device, the electronic device comprising:

[0110] A memory storing at least one instruction;

[0111] Communication interface, enabling electronic equipment to communicate; and

[0112] The processor executes the instructions stored in the memory to implement the above-mentioned method for accurately controlling the distribution of aluminum content in the wire.

[0113] In order to solve the above problem, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for accurately controlling the distribution of aluminum content in a wire.

[0114] Compared with the prior art, the present invention proposes a method for accurately controlling the aluminum content distribution of a conductor, which has the following advantages:

[0115] Firstly, this scheme proposes a wire drawing control method for controlling the distribution of aluminum content. The wire in the wire drawing process is irradiated by laser pulses. The aluminum content of different wire segments is calculated according to the spectral intensity of the characteristic spectral line after irradiation, so as to realize real-time detection of the distribution of aluminum content in the wire. The wire drawing control model structure is constructed by reinforcement learning, including state space, action space and strategy control space. The state space receives the wire drawing state data, the action space includes all the wire drawing equipment control parameters, the strategy control space includes strategy matrix parameters and control parameters, and the strategy matrix parameters include the strategy values ​​between the wire drawing state data and the control parameters of different wire drawing equipment. The strategy control space is used to select the wire drawing equipment control parameter with the highest strategy value corresponding to the wire drawing state data in the state space from the action space. The control parameters are used to optimize the strategy matrix parameters, so as to realize real-time control of the wire drawing equipment control parameters based on the wire drawing state data.

[0116] At the same time, this scheme proposes a method for solving model parameters. The reward function is constructed based on the difference between the aluminum content distribution of the wire after different control operations and the standard distribution, as well as the range of the wire temperature. The model parameters are iterated by combining information entropy and periodically adjusting the iterative learning rate weights. The method of periodically adjusting the iterative learning rate weights can quickly explore the parameter space in the early stage of training, and make fine adjustments in the later stage, which effectively reduces the problems of oscillation and over-adjustment, thereby improving the convergence speed and stability of the model parameters. The policy gradient descent method combined with information entropy can avoid the dilemma encountered by the gradient descent algorithm in the traditional reinforcement learning process, that is, the tendency to select the control parameters of the wire drawing equipment with known and high reward functions, which makes it easy to fall into the local optimum during the iteration process of the model parameters. By adding information entropy to the basic entropy of the training data, an improved policy gradient descent method is obtained, which can increase the update direction of the model parameters and the diversity of the distribution of the policy matrix parameters, and can reuse the training data, increase the frequency of using the training data and the update frequency of the model parameters, and reduce the training time. BRIEF DESCRIPTION OF THE DRAWINGS

[0117] Figure 1 A schematic flow chart of a method for accurately controlling the aluminum content distribution of a conductor provided by an embodiment of the present invention;

[0118] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0119] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0120] The embodiment of the present application provides a method for accurately controlling the distribution of aluminum content in a conductor. The execution subject of the method for accurately controlling the distribution of aluminum content in a conductor includes but is not limited to at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for accurately controlling the distribution of aluminum content in a conductor can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0121] A method for accurately controlling the aluminum content distribution of a conductor comprises the following steps:

[0122] S1: Collect wire drawing process data, where the wire drawing process data includes wire temperature, wire drawing equipment control parameters and wire aluminum content distribution.

[0123] The step S1 includes collecting the wire drawing process data, including:

[0124] Collect wire drawing process data, wherein the wire drawing process data includes wire temperature, wire drawing equipment control parameters and wire aluminum content distribution, wherein the wire drawing equipment control parameters include drawing speed, drawing pressure and heating temperature, wherein the collection process of wire drawing process data at the tth process moment is as follows:

[0125] S11: Use the temperature sensor to obtain the wire temperature at the tth process moment ,in , Indicates the total number of process moments during the wire drawing process;

[0126] S12: Monitor the wire drawing equipment to obtain the wire drawing equipment control parameters at the tth process moment , among which the wire drawing equipment control parameters Including stretching speed , tensile pressure and heating temperature ;

[0127] S13: dividing the wire into N wire segments of equal length, and at the tth process moment, irradiating the surface of the wire segment with a laser pulse, thereby generating a tiny plasma on the surface of the wire segment;

[0128] S14: Use a spectrometer to collect characteristic spectral lines emitted by the surface plasma of each wire segment and store them in the form of spectral data, where the spectral data of the nth wire segment is :

[0129] ;

[0130] in:

[0131] is the wavelength, Indicates the nth conductor segment at the tth process time and at the wavelength The light intensity at

[0132] represents the range of wavelengths in the spectral data; in the embodiment of the present invention, is 394.4 nanometers, It is 396.1 nanometers, which is the wavelength range of the common characteristic spectral lines of aluminum;

[0133] S15: Calculate the spectral intensity of the characteristic spectral line based on the spectral data;

[0134] S16: Convert the spectral intensity into aluminum content to obtain the aluminum content of each wire segment at the tth process moment, and use the aluminum content of all wire segments at the tth process moment as the wire aluminum content distribution :

[0135] ;

[0136] ;

[0137] in:

[0138] represents the aluminum content of the nth wire segment at the tth process moment, The spectral intensity is mapped to the aluminum content using the preset aluminum content mapping coefficient.

[0139] S2: Construct the wire drawing control model structure and the objective function for solving the model parameters in the wire drawing control model structure.

[0140] The wire drawing control model structure is constructed in step S2, including:

[0141] Constructing a wire drawing control model structure, wherein the wire drawing control model structure includes a state space, an action space, and a strategy control space, wherein the state space is used to receive wire drawing state data, wherein the wire drawing state data includes wire temperature and wire aluminum content distribution, the action space includes all wire drawing equipment control parameters, the strategy control space includes strategy matrix parameters and control parameters, the strategy matrix parameters include strategy values ​​between the wire drawing state data and different wire drawing equipment control parameters, and the strategy control space is used to select the wire drawing equipment control parameter with the highest strategy value corresponding to the wire drawing state data in the state space from the action space, and the control parameters are used to optimize and control the strategy matrix parameters, and the strategy matrix parameters and control parameters are model parameters in the wire drawing control model structure;

[0142] The wire drawing state data of group D wires are obtained as training data to form the training data set data of the model parameters:

[0143] ;

[0144] in:

[0145] represents the dth group of training data obtained;

[0146] represents the wire drawing state data of the wire in the dth group of training data, , Indicates wire drawing status data The wire temperature in Indicates wire drawing status data Distribution of aluminum content in the conductors;

[0147] , Indicates the distribution of aluminum content in the conductor The aluminum content of the nth conductor segment in ;

[0148] Indicates the maximum control step length of the wire in the dth group of training data.

[0149] Based on the training data set data, the objective function for solving the model parameters in the wire drawing control model structure is constructed, including:

[0150] ;

[0151] ;

[0152] ;

[0153] ;

[0154] ;

[0155] ;

[0156] ;

[0157] in:

[0158] represents the discount factor;

[0159] represents the objective function for solving the policy matrix parameters, The strategy matrix parameters to be optimized;

[0160] represents the objective function of solving the control parameters, is the control parameter to be optimized;

[0161] Represents the secondary strategy matrix parameters Select the wire drawing status data The wire drawing equipment control parameters with the highest strategy value;

[0162] Indicates the use of wire drawing equipment to control parameters Wire drawing status data The wire drawing state data updated after the corresponding wire is subjected to wire drawing control;

[0163] Indicates the wire drawing state data of the wire corresponding to the d-th group of training data after g times of control operations, each control operation is that the wire drawing device controls the device according to the control parameters of the wire drawing device, and the wire is drawn according to the controlled wire drawing device;

[0164] , Indicates wire drawing status data The wire temperature in Indicates wire drawing status data Distribution of aluminum content in the conductors;

[0165] , Indicates the distribution of aluminum content in the conductor The aluminum content of the nth conductor segment in ;

[0166] Indicates the standard aluminum content of the nth conductor segment;

[0167] Indicates the preset maximum conductor temperature;

[0168] Indicates the conductor temperature The identification parameters, If it is 0, it means the wire temperature Higher than the preset maximum wire temperature , otherwise it means the wire temperature Lower than the preset maximum conductor temperature ;

[0169] represents the L2 norm;

[0170] Indicates wire drawing status data In the control parameters The state value of the following;

[0171] represents an exponential function with a natural constant as base;

[0172] represents the convolution operator;

[0173] Indicates wire drawing status data In the control parameters The control error under .

[0174] S3: Optimize and solve the objective function to obtain the optimal model parameters.

[0175] The step S3 optimizes and solves the objective function, including:

[0176] S31: Initialize generation strategy matrix parameters And control parameters ;

[0177] S32: Set the current iteration number of the strategy matrix parameters and the control parameters to m, where the initial value of m is 0 and the maximum value is M. Then the strategy matrix parameters obtained in the mth iteration are , the control parameter obtained in the mth iteration is , ;

[0178] S33: Calculate the strategy matrix parameters The policy gradient is:

[0179] ;

[0180] ;

[0181] ;

[0182] ;

[0183] in:

[0184] is the strategy matrix parameter Policy gradient of

[0185] is the strategy matrix parameter All wire drawing equipment control parameters and The strategy value weight sequence of the strategy values ​​between them;

[0186] A represents the set of wire drawing equipment control parameters in the strategy matrix parameters, represents the u-th group of wire drawing equipment control parameters in the wire drawing equipment control parameter set A, , U represents the total number of wire drawing equipment control parameters in the wire drawing equipment control parameter set A, express and Between strategy values The strategy value weight of

[0187] Indicates the control parameters of wire drawing equipment Wire drawing status data The strategy value between

[0188] S34: Calculate the strategy matrix parameters Information entropy , combined with the strategy matrix parameters The information entropy and policy gradient of the policy matrix parameters Iterate and get ;

[0189] S35: Calculate and obtain control parameters Gradient In the embodiment of the present invention, the gradient The calculation method is: Substitute the control parameters into the objective function , taking the control parameters as unknowns, Perform partial derivative calculations and adjust the control parameters Substitute the partial derivative calculation results to obtain the control parameters Gradient ;

[0190] S36: Use gradient descent to adjust the parameters To iterate:

[0191] ;

[0192] in:

[0193] Represents the learning rate during the iteration of the control parameters;

[0194] S37: Set m=m+1, return to step S33, until the maximum number of iterations M is reached, and the policy matrix parameters obtained in the Mth iteration are And control parameters as the optimal model parameters.

[0195] The strategy matrix parameters are calculated in step S34 Information entropy , combined with the strategy matrix parameters The information entropy and policy gradient of the policy matrix parameters are iterated, including:

[0196] The strategy matrix parameters Information entropy for:

[0197] ;

[0198] ;

[0199] in:

[0200] Represents the policy matrix parameters For the information entropy of the dth group of training data;

[0201] The strategy matrix parameters The iteration formula is:

[0202] ;

[0203] ;

[0204] ;

[0205] in:

[0206] Represents the policy matrix parameters For the information entropy weight of the dth group of training data;

[0207] Represents the minimum learning rate during the iteration of the preset policy matrix parameters, represents the initial learning rate of the policy matrix parameters, Represents the learning rate of the policy matrix parameters during the mth iteration.

[0208] S4: The wire drawing control model structure and the optimal model parameters are constructed into a wire drawing control model. The wire drawing control model is used to output the control parameters of the wire drawing equipment according to the wire drawing process data, and the wire drawing equipment is controlled according to the control parameters of the wire drawing equipment. The regulated wire drawing equipment is used to perform wire drawing with precise control of the aluminum content distribution.

[0209] The step S4 uses the wire drawing control model to output the wire drawing equipment control parameters according to the wire drawing process data, and controls the wire drawing equipment according to the wire drawing equipment control parameters, and uses the regulated wire drawing equipment to perform wire drawing with precise control of aluminum content distribution, including:

[0210] The wire drawing control model structure and the optimal model parameters are constructed as the wire drawing control model, and the collected wire drawing process data are divided into wire drawing state data and wire drawing equipment control parameters, where the wire drawing state data at the tth process moment is , the wire drawing equipment control parameters are , the wire drawing status data As the input of the wire drawing control model, the wire drawing control model is used to calculate the wire drawing state data. Output wire drawing equipment control parameters , and control the wire drawing equipment to adjust the wire drawing equipment control parameters to the wire drawing equipment control parameters , the wire is drawn continuously until the wire aluminum content distribution reaches the preset standard distribution, where the wire aluminum content distribution The difference from the standard distribution is:

[0211] ;

[0212] ;

[0213] in:

[0214] Aluminum content distribution of the conductor Differences from standard distributions;

[0215] represents the aluminum content of the nth wire segment at the tth process moment, ;

[0216] Indicates the standard aluminum content of the nth conductor segment;

[0217] like If the difference is less than the preset threshold, it means that the aluminum content distribution of the conductor Achieve standard distribution and terminate wire drawing.

[0218] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0219] It should be noted that the serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments. And the terms "including", "comprising" or any other variants thereof in this article are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "including a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0220] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0221] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for accurately controlling the aluminum content distribution of a conductor, characterized in that: The method comprises: S1: collecting wire drawing process data, wherein the wire drawing process data includes wire temperature, wire drawing equipment control parameters and wire aluminum content distribution, wherein the wire drawing equipment control parameters include drawing speed, drawing pressure and heating temperature; S2: constructing the wire drawing control model structure and solving the objective function of the model parameters in the wire drawing control model structure; Constructing a wire drawing control model structure, wherein the wire drawing control model structure includes a state space, an action space, and a strategy control space, wherein the state space is used to receive wire drawing state data, wherein the wire drawing state data includes wire temperature and wire aluminum content distribution, the action space includes all wire drawing equipment control parameters, the strategy control space includes strategy matrix parameters and control parameters, the strategy matrix parameters include strategy values ​​between the wire drawing state data and different wire drawing equipment control parameters, and the strategy control space is used to select the wire drawing equipment control parameter with the highest strategy value corresponding to the wire drawing state data in the state space from the action space, and the control parameters are used to optimize and control the strategy matrix parameters, and the strategy matrix parameters and control parameters are model parameters in the wire drawing control model structure; S3: Optimize and solve the objective function to obtain the optimal model parameters; S4: constructing a wire drawing control model structure and optimal model parameters into a wire drawing control model, using the wire drawing control model to output wire drawing equipment control parameters according to wire drawing process data, and controlling the wire drawing equipment according to the wire drawing equipment control parameters, and using the controlled wire drawing equipment to perform wire drawing with precise control of aluminum content distribution; The wire in the wire drawing process is irradiated by laser pulses. The aluminum content of different wire segments is calculated based on the spectral intensity of the characteristic spectral lines after irradiation, thus achieving real-time detection of the aluminum content distribution of the wire.

2. A method for accurately controlling the aluminum content distribution of a conductor as claimed in claim 1, characterized in that: The S1 step includes: Collect wire drawing process data, wherein the wire drawing process data includes wire temperature, wire drawing equipment control parameters and wire aluminum content distribution, wherein the wire drawing equipment control parameters include drawing speed, drawing pressure and heating temperature, wherein the collection process of wire drawing process data at the tth process moment is as follows: S11: Use the temperature sensor to obtain the wire temperature at the tth process moment ,in , Indicates the total number of process moments during the wire drawing process; S12: Monitor the wire drawing equipment to obtain the wire drawing equipment control parameters at the tth process moment , among which the wire drawing equipment control parameters Including stretching speed , tensile pressure and heating temperature ; S13: dividing the wire into N wire segments of equal length, and at the tth process moment, irradiating the surface of the wire segment with a laser pulse, thereby generating a tiny plasma on the surface of the wire segment; S14: Use a spectrometer to collect characteristic spectral lines emitted by the surface plasma of each wire segment and store them in the form of spectral data, where the spectral data of the nth wire segment is : ； in: is the wavelength, Indicates the nth conductor segment at the tth process time and at the wavelength The light intensity at Represents the range of wavelengths in spectral data; S15: Calculate the spectral intensity of the characteristic spectral line based on the spectral data; S16: Convert the spectral intensity into aluminum content to obtain the aluminum content of each wire segment at the tth process moment, and use the aluminum content of all wire segments at the tth process moment as the wire aluminum content distribution : ； ； in: represents the aluminum content of the nth wire segment at the tth process moment, The spectral intensity is mapped to the aluminum content using the preset aluminum content mapping coefficient.

3. The method for accurately controlling the aluminum content distribution of a conductor according to claim 1, characterized in that: The S2 step includes: The wire drawing state data of group D wires are obtained as training data to form the training data set data of the model parameters: ； in: represents the dth group of training data obtained; represents the wire drawing state data of the wire in the dth group of training data, , Indicates wire drawing status data The wire temperature in Indicates wire drawing status data Distribution of aluminum content in the conductors; , Indicates the distribution of aluminum content in the conductor The aluminum content of the nth conductor segment in ; Indicates the maximum control step length of the wire in the dth group of training data.

4. A method for accurately controlling the aluminum content distribution of a conductor as claimed in claim 3, characterized in that: Based on the training data set data, the objective function for solving the model parameters in the wire drawing control model structure is constructed, including: ； ； ； ； ； ； ； in: represents the discount factor; represents the objective function for solving the policy matrix parameters, The strategy matrix parameters to be optimized; represents the objective function of solving the control parameters, is the control parameter to be optimized; Represents the secondary strategy matrix parameters Select the wire drawing status data The wire drawing equipment control parameters with the highest strategy value; Indicates the use of wire drawing equipment to control parameters Wire drawing status data The wire drawing state data updated after the corresponding wire is subjected to wire drawing control; Indicates the wire drawing state data of the wire corresponding to the d-th group of training data after g times of control operations, each control operation is that the wire drawing equipment controls the equipment according to the control parameters of the wire drawing equipment, and the wire is drawn according to the controlled wire drawing equipment; , Indicates wire drawing status data The wire temperature in Indicates wire drawing status data Distribution of aluminum content in the conductors; , Indicates the distribution of aluminum content in the conductor The aluminum content of the nth conductor segment in ; Indicates the standard aluminum content of the nth conductor segment; Indicates the preset maximum conductor temperature; Indicates the conductor temperature The identification parameters, If it is 0, it means the wire temperature Higher than the preset maximum wire temperature , otherwise it means the wire temperature Lower than the preset maximum conductor temperature ; represents the L2 norm; Indicates wire drawing status data In the control parameters The state value of the following; represents an exponential function with a natural constant as base; represents the convolution operator; Indicates wire drawing status data In the control parameters The control error under .

5. A method for accurately controlling the aluminum content distribution of a conductor as claimed in claim 4, characterized in that: The S3 step includes: S31: Initialize generation strategy matrix parameters And control parameters ; S32: Set the current iteration number of the strategy matrix parameters and the control parameters to m, where the initial value of m is 0 and the maximum value is M. Then the strategy matrix parameters obtained in the mth iteration are , the control parameter obtained in the mth iteration is , ; S33: Calculate the strategy matrix parameters The policy gradient is: ； ； ； ； in: is the strategy matrix parameter Policy gradient of is the strategy matrix parameter All wire drawing equipment control parameters and The strategy value weight sequence of the strategy values ​​between them; A represents the set of wire drawing equipment control parameters in the strategy matrix parameters, represents the u-th group of wire drawing equipment control parameters in the wire drawing equipment control parameter set A, , U represents the total number of wire drawing equipment control parameters in the wire drawing equipment control parameter set A, express and Between strategy values The strategy value weight of Indicates the control parameters of wire drawing equipment Wire drawing status data The strategy value between S34: Calculate the strategy matrix parameters Information entropy , combined with the strategy matrix parameters The information entropy and policy gradient of the policy matrix parameters Iterate and get ; S35: Calculate and obtain control parameters Gradient ; S36: Use gradient descent to adjust the parameters To iterate: ； in: Represents the learning rate during the iteration of the control parameters; S37: Set m=m+1, return to step S33, until the maximum number of iterations M is reached, and the policy matrix parameters obtained in the Mth iteration are And control parameters as the optimal model parameters.

6. A method for accurately controlling the aluminum content distribution of a conductor as claimed in claim 5, characterized in that: The strategy matrix parameters are calculated in step S34 Information entropy , combined with the strategy matrix parameters The information entropy and policy gradient of the policy matrix parameters are iterated, including: The strategy matrix parameters Information entropy for: ； ； in: Represents the policy matrix parameters For the information entropy of the dth group of training data; The strategy matrix parameters The iteration formula is: ； ； ； in: Represents the policy matrix parameters For the information entropy weight of the dth group of training data; Represents the minimum learning rate during the iteration of the preset policy matrix parameters, represents the initial learning rate of the policy matrix parameters, Represents the learning rate of the policy matrix parameters during the mth iteration.

7. The method for accurately controlling the aluminum content distribution of a conductor according to claim 1, characterized in that: The S4 step includes: The wire drawing control model structure and the optimal model parameters are constructed as the wire drawing control model, and the collected wire drawing process data are divided into wire drawing state data and wire drawing equipment control parameters, where the wire drawing state data at the tth process moment is , the wire drawing equipment control parameters are , the wire drawing status data As the input of the wire drawing control model, the wire drawing control model is used to calculate the wire drawing state data. Output wire drawing equipment control parameters , and control the wire drawing equipment to adjust the wire drawing equipment control parameters to the wire drawing equipment control parameters , the wire is drawn continuously until the wire aluminum content distribution reaches the preset standard distribution, where the wire aluminum content distribution The difference from the standard distribution is: ； ； in: Aluminum content distribution of the conductor Differences from standard distributions; represents the aluminum content of the nth wire segment at the tth process moment, ; Indicates the standard aluminum content of the nth conductor segment; like If the difference is less than the preset threshold, it means that the aluminum content distribution of the conductor Achieve standard distribution and terminate wire drawing.

8. A method for accurately controlling the aluminum content distribution of a conductor as claimed in claim 2, characterized in that: The step S15 calculates the spectral intensity of the characteristic spectral line based on the spectral data, including: ； ； ； in: Indicates wavelength range K wavelengths in ; Indicates the nth conductor segment at the tth process time and at the wavelength The light intensity at .

Images