Control Method and System for Continuous Casting and Rolling Equipment Applied to the Production of Copper Wire Rods

Abstract

The present invention relates to the field of remote monitoring, and discloses a control method and system for continuous casting and rolling equipment applied to the production of copper wire rods. The method includes: identifying the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and constructing a distributed collaborative network of the continuous casting and rolling equipment; analyzing the production requirements of the copper wire rods, identifying the functional indicators of the continuous casting and rolling equipment, and constructing an initial collaborative instruction for the continuous casting and rolling equipment by using the distributed collaborative network; simulating the operation of the continuous casting and rolling equipment to obtain simulated operation data, extracting the image detail features of the copper wire rod image, calculating the defect coefficient of the copper wire rod corresponding to the copper wire rod image, and analyzing the equipment operation loss coefficient of the continuous casting and rolling equipment; constructing an abnormal report for the continuous casting and rolling equipment, generating an adjustment collaborative instruction for the continuous casting and rolling equipment, and executing the safe production of the copper wire rod by the continuous casting and rolling equipment based on the adjustment collaborative instruction. The present invention can improve the production effect of the continuous casting and rolling equipment on the copper wire rods.

Description

Technical Field

[0001] The present invention relates to the field of remote monitoring, and particularly to a control method and system for continuous casting and rolling equipment applied to the production of copper wire rods. Background Art

[0002] The continuous casting and rolling production of copper wire rods is an efficient and energy-saving copper processing method. It directly casts molten copper into rod blanks through continuous casting technology and then rolls them into required wire rods through continuous rolling technology. In this process, the control method and system of the equipment are the keys to ensuring production efficiency and quality.

[0003] Currently, the control of continuous casting and rolling equipment is mainly achieved by setting operation instructions for the continuous casting and rolling equipment according to preparation requirements. This method is too programmed, and when unexpected events such as abnormal equipment operation and quality defects occur during the preparation of copper wire rods, the equipment cannot perform self-adjustment, resulting in poor control effects of the continuous casting and rolling equipment. Summary of the Invention

[0004] The present invention provides a control method and system for continuous casting and rolling equipment applied to the production of copper wire rods, and its main purpose is to improve the production effect of the continuous casting and rolling equipment on copper wire rods.

[0005] To achieve the above object, a control method for continuous casting and rolling equipment applied to the production of copper wire rods provided by the present invention includes:

[0006] Obtain the continuous casting and rolling production scenario of the copper wire rod, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed collaborative network of the continuous casting and rolling equipment;

[0007] Analyze the production requirements of the copper wire rod, identify the functional indicators of the continuous casting and rolling equipment, and based on the production requirements and functional indicators, use the distributed collaborative network to construct an initial collaborative instruction for the continuous casting and rolling equipment;

[0008] Based on the initial collaborative instruction, simulate the operation of the continuous casting and rolling equipment to obtain simulation operation data, where the simulation operation data includes: copper wire rod images and equipment operation data;

[0009] Extract the image detail features of the copper wire rod image, based on the image detail features, calculate the defect coefficient of the copper wire rod corresponding to the copper wire rod image, and based on the equipment operation data, analyze the equipment operation loss coefficient of the continuous casting and rolling equipment;

[0010] Based on the defect coefficient and the equipment operation loss coefficient, construct an exception report for the continuous casting and rolling equipment, based on the exception report, generate an adjustment collaborative instruction for the continuous casting and rolling equipment, and based on the adjustment collaborative instruction, execute the safe production of the continuous casting and rolling equipment for the copper wire rod.

[0011] Optionally, building the distributed collaborative network of the continuous casting and rolling equipment includes:

[0012] Identifying the equipment type of the continuous casting and rolling equipment;

[0013] Based on the equipment type, determining the network interface of the continuous casting and rolling equipment;

[0014] Based on the network interface, adapting the network protocol of the continuous casting and rolling equipment;

[0015] Based on the network protocol, building the distributed collaborative network of the continuous casting and rolling equipment.

[0016] Optionally, based on the production requirements and functional indicators, using the distributed collaborative network to build the initial collaborative instruction of the continuous casting and rolling equipment includes:

[0017] Based on the production requirements and functional indicators, analyzing the equipment tasks of the continuous casting and rolling equipment;

[0018] Based on the equipment tasks, using the collaborative function of the distributed collaborative network to calculate the collaborative coefficient of the continuous casting and rolling equipment;

[0019] Based on the collaborative coefficient, analyzing the interaction rules of the continuous casting and rolling equipment;

[0020] Based on the interaction rules and the equipment tasks, building the initial collaborative instruction of the continuous casting and rolling equipment.

[0021] Optionally, based on the equipment tasks, using the collaborative function of the distributed collaborative network to calculate the collaborative coefficient of the continuous casting and rolling equipment includes:

[0022] Based on the equipment tasks, analyzing the task indicators of the continuous casting and rolling equipment;

[0023] Based on the task indicators, using the collaborative function to calculate the collaborative coefficient of the continuous casting and rolling equipment; where the collaborative function:

[0024] Q(e,s) = Cop((2*τ^2)*||e v -s c ||^2)

[0025] where Q(e,s) represents the collaborative coefficient between the e-th continuous casting and rolling equipment and the s-th continuous casting and rolling equipment, e v represents the v-th task indicator of the e-th continuous casting and rolling equipment, s c represents the c-th task indicator of the s-th continuous casting and rolling equipment, Cop represents the collaborative function, and τ represents the number of continuous casting and rolling equipment.

[0026] Optionally, based on the initial collaborative instruction, simulate the operation of the continuous casting and rolling equipment to obtain simulation operation data, including:

[0027] Construct a spatial coordinate system of the continuous casting and rolling equipment;

[0028] Based on the spatial coordinate system, identify the point cloud data of the continuous casting and rolling equipment;

[0029] Based on the point cloud data and the spatial coordinate system, construct a three-dimensional modeling scene of the continuous casting and rolling equipment;

[0030] Based on the initial collaborative instruction, use the three-dimensional modeling scene to simulate the operation of the continuous casting and rolling equipment to obtain the simulation operation data.

[0031] Optionally, the constructing a three-dimensional modeling scene of the continuous casting and rolling equipment based on the point cloud data and the spatial coordinate system includes:

[0032] Based on the spatial coordinate system, use the following formula to calculate the curve coordinates of the corresponding point cloud data of the continuous casting and rolling equipment:

[0033]

[0034] where (x, y, z) represents the curve coordinates of the nth data point in the point cloud data in the spatial coordinate system, x n represents the value of the nth data point in the point cloud data on the x-axis of the spatial coordinate system, y n represents the value of the nth data point in the point cloud data on the y-axis of the spatial coordinate system, z n represents the value of the nth data point in the point cloud data on the Z-axis of the spatial coordinate system, ω n represents the weight coefficient of the nth data point in the point cloud data, and t represents the number of corresponding data points in the point cloud data;

[0035] Based on the curve coordinates, construct a component three-dimensional model of the functional component.

[0036] Optionally, as an embodiment of the present invention, the extracting the image detail features of the copper wire rod image includes:

[0037] Perform normalization processing on the copper wire rod image to obtain a normalized image;

[0038] Perform wavelet decomposition on the normalized image to obtain image detail coefficients;

[0039] Based on the image detail coefficients, extract the image detail features of the copper wire rod image.

[0040] Optionally, performing wavelet decomposition on the normalized image to obtain image detail coefficients, including:

[0041] Determining the decomposition level of the normalized image;

[0042] Based on the decomposition level, performing wavelet decomposition on the normalized image using the following formula to obtain image detail coefficients:

[0043]

[0044] where F a represents the image detail coefficient of the a-th level of the normalized image, μ represents the wavelet function (high-pass filter), M represents the image area of the normalized image, X represents the normalized image, a represents the decomposition level of the normalized image, and k represents the discrete time or spatial index of the normalized image.

[0045] Optionally, analyzing the equipment operation loss coefficient of the continuous casting and rolling equipment based on the equipment operation data, including:

[0046] Analyzing the operation state of the continuous casting and rolling equipment based on the equipment operation data;

[0047] Identifying the operation losses of the continuous casting and rolling equipment based on the operation state;

[0048] Determining the loss weight of the operation losses;

[0049] Calculating the equipment operation loss coefficient of the continuous casting and rolling equipment based on the loss weight.

[0050] To solve the above problems, the present invention also provides a control system for a continuous casting and rolling equipment applied to the production of copper wire rods, the system includes:

[0051] A collaborative network construction module, configured to obtain the continuous casting and rolling production scenario of copper wire rods, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed collaborative network of the continuous casting and rolling equipment;

[0052] A collaborative instruction setting module, configured to analyze the production requirements of the copper wire rods, identify the functional indicators of the continuous casting and rolling equipment, and construct an initial collaborative instruction for the continuous casting and rolling equipment using the distributed collaborative network based on the production requirements and functional indicators;

[0053] An operation data acquisition module, configured to simulate the operation of the continuous casting and rolling equipment based on the initial collaborative instruction to obtain simulated operation data, where the simulated operation data includes: copper wire rod images and equipment operation data;

[0054] An operating loss calculation module, configured to extract the image detail features of the copper rod image, calculate the defect coefficient of the image copper rod corresponding to the copper rod image based on the image detail features, and analyze the equipment operating loss coefficient of the continuous casting and rolling equipment based on the equipment operating data;

[0055] A copper rod production module, configured to construct an exception report of the continuous casting and rolling equipment based on the defect coefficient and the equipment operating loss coefficient, generate an adjustment coordination instruction for the continuous casting and rolling equipment based on the exception report, and execute the safe production of the copper rod by the continuous casting and rolling equipment based on the adjustment coordination instruction.

[0056] In an embodiment of the present invention, by identifying the continuous casting and rolling equipment in the continuous casting and rolling production scenario, the production equipment status of the continuous casting and rolling production scenario can be determined, thereby providing a data basis for later equipment resource allocation; in an embodiment of the present invention, by analyzing the production requirements of the copper rod, a data basis can be provided for the manipulation instructions of the later-set equipment; in an embodiment of the present invention, based on the initial coordination instruction, the work of the continuous casting and rolling equipment is simulated to obtain simulated operation data, wherein the simulated operation data includes: the copper rod image and the equipment operating data, and the abnormality in the production process can be determined and adjusted in time through the simulated work, thereby improving the production effect of the continuous casting and rolling equipment; in an embodiment of the present invention, by extracting the image detail features of the copper rod image, a data basis can be provided for later identifying the quality of the copper rod in the simulated production. Further, in an embodiment of the present invention, based on the image detail features, calculating the defect coefficient of the image copper rod corresponding to the copper rod image can identify the quality defects of the copper rod in the simulated production in the image, thereby making timely equipment adjustments. Finally, in an embodiment of the present invention, based on the defect coefficient and the equipment operating loss coefficient, constructing the exception report of the continuous casting and rolling equipment can analyze the defects existing in the process of equipment simulated production, provide a data basis for later equipment adjustment, and based on the exception report, generating the adjustment coordination instruction of the continuous casting and rolling equipment can achieve the efficient production of the continuous casting and rolling equipment, thereby improving the production effect of the continuous casting and rolling equipment on the copper rod. Therefore, the control method and system for the continuous casting and rolling equipment applied to the production of copper rods proposed by the present invention can improve the production effect of the continuous casting and rolling equipment on the copper rod. Description of the Drawings

[0057] Figure 1 It is a schematic flowchart of a control method for a continuous casting and rolling equipment applied to the production of copper rods provided by an embodiment of the present invention;

[0058] Figure 2 It is a functional module diagram of a control system for a continuous casting and rolling equipment applied to the production of copper rods provided by an embodiment of the present invention;

[0059] Figure 3A schematic structural diagram of an electronic device for a continuous casting and rolling equipment control system applied to the production of copper wire rods according to an embodiment of the present invention;

[0060] The implementation, functional features and advantages of the present invention will be further described in conjunction with the embodiments with reference to the accompanying drawings. Specific embodiments

[0061] 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.

[0062] An embodiment of the present application provides a control method for continuous casting and rolling equipment applied to the production of copper wire rods. The execution subject of the control method for continuous casting and rolling equipment applied to the production of copper wire rods includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the control method for continuous casting and rolling equipment applied to the production of copper wire rods can be executed by software or hardware installed on 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. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0063] Refer to Figure 1 As shown, it is a schematic flow diagram of a control method for continuous casting and rolling equipment applied to the production of copper wire rods according to an embodiment of the present invention. In this embodiment, the control method for continuous casting and rolling equipment applied to the production of copper wire rods includes:

[0064] S1. Obtain the continuous casting and rolling production scenario of the copper wire rod, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed collaborative network of the continuous casting and rolling equipment.

[0065] In the embodiment of the present invention, the continuous casting and rolling production scenario refers to the scenario for producing the copper wire rod, such as equipment scenarios, environmental scenarios, etc.

[0066] Furthermore, in the embodiment of the present invention, by identifying the continuous casting and rolling equipment in the continuous casting and rolling production scenario, the production equipment status of the continuous casting and rolling production scenario can be determined, thereby providing a data basis for subsequent equipment resource allocation. Among them, the continuous casting and rolling equipment refers to the equipment used to produce the copper wire rod.

[0067] Optionally, in the embodiments of the present invention, by constructing a distributed collaborative network for the continuous casting and rolling equipment, the reliability and flexibility of the system can be improved. Among them, the distributed collaborative network refers to a network that disperses control functions to each node while realizing centralized management and operation of data.

[0068] As an embodiment of the present invention, the construction of the distributed collaborative network for the continuous casting and rolling equipment includes: identifying the equipment type of the continuous casting and rolling equipment; determining the network interface of the continuous casting and rolling equipment based on the equipment type; adapting the network protocol of the continuous casting and rolling equipment based on the network interface; and constructing the distributed collaborative network of the continuous casting and rolling equipment based on the network protocol.

[0069] Among them, the equipment type refers to the equipment of the continuous casting and rolling equipment, such as continuous casting machines, casting machines, pinch rolls, rolling mills, shearing machines, etc. The network interface refers to the interface for connecting the continuous casting and rolling equipment to the network, and the network protocol refers to the communication protocol for connecting the continuous casting and rolling equipment to the network, such as TCP / IP, HTTP, FTP and other protocols.

[0070] S2. Analyze the production requirements of the copper rod, identify the functional indicators of the continuous casting and rolling equipment, and based on the production requirements and functional indicators, use the distributed collaborative network to construct an initial collaborative instruction for the continuous casting and rolling equipment.

[0071] In the embodiments of the present invention, by analyzing the production requirements of the copper rod, a data basis can be provided for setting the control instructions of the equipment in the later stage. Among them, the production requirements refer to the requirements for producing the copper rod, such as raw material requirements, process requirements, etc. Specifically, the production requirements are analyzed through the historical production experience of the copper rod, and the historical production experience refers to the empirical data of historical production of the copper rod.

[0072] Furthermore, in the embodiments of the present invention, the functional indicators refer to the functions that the continuous casting and rolling equipment can achieve, such as functions of guiding the solidification of molten metal into billets, maintaining the flow of molten metal and stability during the casting process.

[0073] Optionally, in the embodiments of the present invention, based on the production requirements and functional indicators, using the distributed collaborative network to construct the initial collaborative instruction for the continuous casting and rolling equipment can realize the effective connection of the continuous casting and rolling equipment. Among them, the initial collaborative instruction refers to the instruction for realizing the collaborative work of the continuous casting and rolling equipment to produce the copper rod.

[0074] Optionally, as an embodiment of the present invention, constructing the initial collaboration instruction for the continuous casting and rolling equipment based on the production requirements and functional indicators includes: analyzing the equipment tasks of the continuous casting and rolling equipment based on the production requirements and functional indicators; calculating the collaboration coefficient of the continuous casting and rolling equipment by using the collaboration function of the distributed collaboration network based on the equipment tasks; analyzing the interaction rules of the continuous casting and rolling equipment based on the collaboration coefficient; and constructing the initial collaboration instruction for the continuous casting and rolling equipment based on the interaction rules and the equipment tasks.

[0075] Wherein, the equipment task refers to the task index of the continuous casting and rolling equipment in the production of copper wire rods, the collaboration coefficient refers to the degree of mutual assistance of the continuous casting and rolling equipment, and the interaction rule refers to the rule of interactive coordination of the continuous casting and rolling equipment in the production of copper wire rods.

[0076] Optionally, as an alternative embodiment of the present invention, calculating the collaboration coefficient of the continuous casting and rolling equipment by using the collaboration function of the distributed collaboration network based on the equipment tasks includes: analyzing the task indexes of the continuous casting and rolling equipment based on the equipment tasks; calculating the collaboration coefficient of the continuous casting and rolling equipment by using the collaboration function based on the task indexes; wherein, the collaboration function:

[0077] Q(e,s) = Cop((2*τ^2)*||e v -s c ||^2)

[0078] Wherein, Q(e,s) represents the collaboration coefficient between the e-th continuous casting and rolling equipment and the s-th continuous casting and rolling equipment, e v represents the v-th task index of the e-th continuous casting and rolling equipment, s c represents the c-th task index of the s-th continuous casting and rolling equipment, Cop represents the collaboration function, and τ represents the number of continuous casting and rolling equipment.

[0079] S3. Simulating the operation of the continuous casting and rolling equipment based on the initial collaboration instruction to obtain simulation operation data, wherein the simulation operation data includes: copper wire rod images and equipment operation data.

[0080] In the embodiment of the present invention, simulating the operation of the continuous casting and rolling equipment based on the initial collaboration instruction to obtain simulation operation data, wherein the simulation operation data includes: copper wire rod images and equipment operation data can determine the abnormalities in the production process through simulation work and adjust them in a timely manner, thereby improving the production effect of the continuous casting and rolling equipment. Wherein, the copper wire rod image refers to the product image in the production process of the copper wire rod, and the equipment operation data refers to the continuous casting and rolling equipment

[0081] As an embodiment of the present invention, based on the initial collaborative instruction, simulate the operation of the continuous casting and rolling equipment to obtain simulation operation data, including: constructing a spatial coordinate system of the continuous casting and rolling equipment; based on the spatial coordinate system, identifying the point cloud data of the continuous casting and rolling equipment; based on the point cloud data and the spatial coordinate system, constructing a three-dimensional modeling scene of the continuous casting and rolling equipment; based on the initial collaborative instruction, using the three-dimensional modeling scene to simulate the operation of the continuous casting and rolling equipment to obtain the simulation operation data.

[0082] Among them, the spatial coordinate system refers to a coordinate system used to unify the coordinate information of the continuous casting and rolling equipment, the point cloud data refers to data used to describe the spatial position information of the continuous casting and rolling equipment, such as equipment size, equipment shape and other data, and the three-dimensional modeling scene refers to the scene after three-dimensional modeling of the continuous casting and rolling equipment.

[0083] Optionally, as an alternative embodiment of the present invention, the constructing the three-dimensional modeling scene of the continuous casting and rolling equipment based on the point cloud data and the spatial coordinate system includes: based on the spatial coordinate system, using the following formula to calculate the curve coordinates of the continuous casting and rolling equipment corresponding to the point cloud data:

[0084]

[0085] Among them, (x, y, z) represents the curve coordinates of the nth data point in the point cloud data in the spatial coordinate system, x n represents the value of the nth data point in the point cloud data on the x-axis of the spatial coordinate system, y n represents the value of the nth data point in the point cloud data on the y-axis of the spatial coordinate system, z n represents the value of the nth data point in the point cloud data on the z-axis of the spatial coordinate system, ω n represents the weight coefficient of the nth data point in the point cloud data, and t represents the number of data points corresponding to the point cloud data;

[0086] Based on the curve coordinates, construct a component three-dimensional model of the functional component.

[0087] Among them, the weight coefficient refers to the contribution degree of the nth data point in the point cloud data in surface reconstruction.

[0088] S4. Extract the image detail features of the copper wire rod image, based on the image detail features, calculate the defect coefficient of the copper wire rod corresponding to the copper wire rod image, and based on the equipment operation data, analyze the equipment operation loss coefficient of the continuous casting and rolling equipment.

[0089] In the embodiments of the present invention, extracting the image detail features of the copper rod image can provide a data basis for later identifying the quality of the copper rod produced by simulation. Among them, the image detail features refer to the detail texture feature attributes in the copper rod image, such as the copper rod color, the appearance of the copper rod, and other feature attributes.

[0090] Optionally, as an embodiment of the present invention, the extracting the image detail features of the copper rod image includes: performing normalization processing on the copper rod image to obtain a normalized image; performing wavelet decomposition on the normalized image to obtain image detail coefficients; and extracting the image detail features of the copper rod image based on the image detail coefficients.

[0091] Among them, the normalized image refers to the image after unifying the format and size of the copper rod image, and the image detail coefficients refer to the image detail coefficients obtained after performing discrete wavelet transform on the normalized image.

[0092] Optionally, as an alternative embodiment of the present invention, the performing wavelet decomposition on the normalized image to obtain image detail coefficients includes: determining the decomposition level of the normalized image; and based on the decomposition level, performing wavelet decomposition on the normalized image using the following formula to obtain image detail coefficients:

[0093]

[0094] where F a represents the image detail coefficient of the a-th level of the normalized image, μ represents the wavelet function (high-pass filter), M represents the image area of the normalized image, X represents the normalized image, a represents the decomposition level of the normalized image, and k represents the discrete time or space index of the normalized image.

[0095] Furthermore, in the embodiments of the present invention, based on the image detail features, calculating the defect coefficient of the copper rod corresponding to the copper rod image in the image can identify the quality defects of the copper rod produced by simulation in the image, so as to perform timely equipment adjustment. Among them, the defect coefficient refers to the degree of defect of the copper rod produced by simulation. Specifically, the defect coefficient mainly identifies the gap between the copper rod in the image and the preset standard copper rod through the image detail features, such as the color gap, the shape gap, and other gaps.

[0096] Furthermore, in the embodiments of the present invention, based on the equipment operation data, analyzing the equipment operation loss coefficient of the continuous casting and rolling equipment can provide a data basis for later equipment adjustment. Among them, the loss coefficient refers to the degree of loss of the continuous casting and rolling equipment during the production process.

[0097] As an embodiment of the present invention, analyzing the equipment operation loss coefficient of the continuous casting and rolling equipment based on the equipment operation data includes: analyzing the operation status of the continuous casting and rolling equipment based on the equipment operation data; identifying the operation losses of the continuous casting and rolling equipment based on the operation status; determining the loss weights of the operation losses; and calculating the equipment operation loss coefficient of the continuous casting and rolling equipment based on the loss weights.

[0098] Among them, the operation status refers to the status of the continuous casting and rolling equipment during the production process, the operation losses refer to the losses generated during the production process of the continuous casting and rolling equipment, such as losses caused by abnormal equipment connection, equipment power supply load, etc., and the loss weights refer to the degree of losses generated during the production process of the continuous casting and rolling equipment.

[0099] S5. Based on the defect coefficient and the equipment operation loss coefficient, construct an exception report for the continuous casting and rolling equipment, generate an adjustment cooperation instruction for the continuous casting and rolling equipment based on the exception report, and execute the safe production of the copper wire rod by the continuous casting and rolling equipment based on the adjustment cooperation instruction.

[0100] The embodiment of the present invention constructs an exception report for the continuous casting and rolling equipment based on the defect coefficient and the equipment operation loss coefficient, which can analyze the defects existing in the process of equipment simulation production and provide a data basis for subsequent equipment adjustment. Among them, the exception report refers to an exception analysis report existing in the simulation operation process of the continuous casting and rolling equipment, and the exception report includes: exception content, exception cause, exception repair method, etc.

[0101] Furthermore, the embodiment of the present invention generates an adjustment cooperation instruction for the continuous casting and rolling equipment based on the exception report, which can achieve the efficient production of the continuous casting and rolling equipment, thereby improving the production effect of the continuous casting and rolling equipment on the copper wire rod. Among them, the adjustment cooperation instruction refers to an equipment instruction for parameter adjustment for the abnormal operation of the continuous casting and rolling equipment, such as parameter adjustment instructions for equipment power, equipment output speed, etc.

[0102] Optionally, the embodiment of the present invention executes the safe production of the copper wire rod by the continuous casting and rolling equipment based on the adjustment cooperation instruction, which can achieve the efficient and stable production of the copper wire rod by the continuous casting and rolling equipment.

[0103] In the embodiment of the present invention, the continuous casting and rolling equipment in the continuous casting and rolling production scenario can be identified to determine the production equipment status of the continuous casting and rolling production scenario, thereby providing a data basis for the later equipment resource allocation; in the embodiment of the present invention, by analyzing the production requirements of the copper wire rod, a data basis can be provided for the control instructions of the later setting equipment; in the embodiment of the present invention, based on the initial cooperation instruction, the work of the continuous casting and rolling equipment is simulated to obtain simulation operation data, wherein the simulation operation data includes: the copper wire rod image and the equipment operation data can determine the abnormality in the production process through simulation work and adjust it in time, thereby improving the production effect of the continuous casting and rolling equipment; in the embodiment of the present invention, by extracting the image detail features of the copper wire rod image, a data basis can be provided for identifying the quality of the copper wire rod in the simulated production later. Further, in the embodiment of the present invention, based on the image detail features, the defect coefficient of the copper wire rod corresponding to the copper wire rod image is calculated to identify the quality defects of the copper wire rod in the simulated production in the image, so as to make timely equipment adjustments. Finally, in the embodiment of the present invention, based on the defect coefficient and the equipment operation loss coefficient, an abnormality report of the continuous casting and rolling equipment is constructed to analyze the defects existing in the process of equipment simulation production, provide a data basis for later equipment adjustment, and based on the abnormality report, generate an adjustment cooperation instruction for the continuous casting and rolling equipment to achieve the efficient production of the continuous casting and rolling equipment, thereby improving the production effect of the continuous casting and rolling equipment on the copper wire rod. Therefore, the control method for the continuous casting and rolling equipment applied to the production of copper wire rods proposed by the present invention can improve the production effect of the continuous casting and rolling equipment on the copper wire rod.

[0104] As Figure 2 shown, it is a functional module diagram of a control system for a continuous casting and rolling equipment applied to the production of copper wire rods provided by an embodiment of the present invention.

[0105] The control system 200 for the continuous casting and rolling equipment applied to the production of copper wire rods according to the present invention can be installed in an electronic device. According to the functions achieved, the control system 200 for the continuous casting and rolling equipment applied to the production of copper wire rods can include a cooperative network construction module 201, a cooperative instruction setting module 202, an operation data acquisition module 203, an operation loss calculation module 204, and a copper wire rod production module 205. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and are stored in the memory of the electronic device.

[0106] In this embodiment, the functions of each module / unit are as follows:

[0107] The cooperative network construction module 201 is used to obtain the continuous casting and rolling production scenario of the copper wire rod, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed cooperative network of the continuous casting and rolling equipment;

[0108] The collaborative instruction setting module 202 is configured to analyze the production requirements of the copper rod, identify the functional indicators of the continuous casting and rolling equipment, and construct an initial collaborative instruction for the continuous casting and rolling equipment based on the production requirements and functional indicators by using the distributed collaborative network.

[0109] The operation data acquisition module 203 is configured to simulate the operation of the continuous casting and rolling equipment based on the initial collaborative instruction to obtain simulated operation data, where the simulated operation data includes: copper rod images and equipment operation data.

[0110] The operation loss calculation module 204 is configured to extract the image detail features of the copper rod image, calculate the defect coefficient of the copper rod corresponding to the copper rod image based on the image detail features, and analyze the equipment operation loss coefficient of the continuous casting and rolling equipment based on the equipment operation data.

[0111] The copper rod production module 205 is configured to construct an exception report for the continuous casting and rolling equipment based on the defect coefficient and the equipment operation loss coefficient, generate an adjustment collaborative instruction for the continuous casting and rolling equipment based on the exception report, and execute the safe production of the copper rod by the continuous casting and rolling equipment based on the adjustment collaborative instruction.

[0112] Specifically, each module in the control system 200 of the continuous casting and rolling equipment applied to copper rod production in the embodiments of the present invention uses the same technical means as the control method of the continuous casting and rolling equipment applied to copper rod production described in the accompanying drawings and can produce the same technical effects, which will not be elaborated here.

[0113] An embodiment of the present invention provides an electronic device for implementing a control method of a continuous casting and rolling equipment applied to copper rod production.

[0114] See Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32, and a communication interface 33, and may further include a computer program stored in the memory 31 and executable on the processor 30, such as a control method program for the continuous casting and rolling equipment applied to copper rod production.

[0115] Among them, in some embodiments, the processor may be composed of an integrated circuit. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple packaged integrated circuits with the same or different functions, including a combination of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and circuits, and by running or executing programs or modules stored in the memory (such as executing the control program for the continuous casting and rolling equipment applied to copper rod production, etc.), and calling the data stored in the memory, to perform various functions of the electronic device and process data.

[0116] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disks, multimedia cards, card-type memories (such as SD or DX memories, etc.), magnetic memories, magnetic disks, optical discs, etc. In some embodiments, the memory may be an internal storage unit of the electronic device, such as the mobile hard disk of the electronic device. In some other embodiments, the memory may also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device. Further, the memory may also include both the internal storage unit and the external storage device of the electronic device. The memory can not only be used to store application software installed on the electronic device and various types of data, such as the code based on the control program for the continuous casting and rolling equipment applied to copper rod production, etc., but can also be used to temporarily store the data that has been output or will be output.

[0117] The communication bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. The bus is set to realize the connection and communication between the memory and at least one processor, etc.

[0118] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display the information processed in the electronic device and to display a visual user interface.

[0119] For example, although not shown, the electronic device may further include a power source (such as a battery) for powering each component. Preferably, the power source may be logically connected to the at least one processor through a power management system, so as to implement functions such as charge management, discharge management, and power consumption management through the power management system. The power source may also include any components such as one or more DC or AC power sources, a recharge system, a power failure detection circuit, a power converter or an inverter, and a power status indicator. The electronic device may also include a variety of sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0120] It should be understood that the above embodiments are only for illustrative purposes and are not limited by this structure in the scope of the patent application.

[0121] The application control program for the continuous casting and rolling equipment in the copper rod production stored in the memory of the electronic device is a combination of multiple instructions. When running in the processor, it can achieve:

[0122] Obtain the continuous casting and rolling production scenario of the copper rod, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed collaborative network of the continuous casting and rolling equipment;

[0123] Analyze the production requirements of the copper rod, identify the functional indicators of the continuous casting and rolling equipment, and based on the production requirements and functional indicators, use the distributed collaborative network to construct an initial collaborative instruction for the continuous casting and rolling equipment;

[0124] Based on the initial collaborative instruction, simulate the operation of the continuous casting and rolling equipment to obtain simulation operation data, where the simulation operation data includes: copper rod images and equipment operation data;

[0125] Extract the image detail features of the copper rod image. Based on the image detail features, calculate the defect coefficient of the copper rod corresponding to the copper rod image. Based on the equipment operation data, analyze the equipment operation loss coefficient of the continuous casting and rolling equipment;

[0126] Based on the defect coefficient and the equipment operation loss coefficient, construct an exception report for the continuous casting and rolling equipment. Based on the exception report, generate an adjustment coordination instruction for the continuous casting and rolling equipment. Based on the adjustment coordination instruction, execute the safe production of the copper rod by the continuous casting and rolling equipment.

[0127] Specifically, the specific implementation method of the above instructions by the processor can refer to the description of the relevant steps in the corresponding embodiments of the attached drawings, which will not be elaborated here.

[0128] Furthermore, if the modules / units integrated in the electronic device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory).

[0129] The present invention also provides a computer-readable storage medium. The readable storage medium stores a computer program. When the computer program is executed by a processor of an electronic device, it can implement:

[0130] Obtain the continuous casting and rolling production scenario of the copper rod, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed cooperation network for the continuous casting and rolling equipment;

[0131] Analyze the production requirements of the copper rod, identify the functional indicators of the continuous casting and rolling equipment. Based on the production requirements and functional indicators, use the distributed cooperation network to construct an initial cooperation instruction for the continuous casting and rolling equipment;

[0132] Based on the initial cooperation instruction, simulate the operation of the continuous casting and rolling equipment to obtain simulation operation data, where the simulation operation data includes: copper rod image and equipment operation data;

[0133] Extract the image detail features of the copper rod image. Based on the image detail features, calculate the defect coefficient of the copper rod corresponding to the copper rod image. Based on the equipment operation data, analyze the equipment operation loss coefficient of the continuous casting and rolling equipment;

[0134] Based on the defect coefficient and the equipment operation loss coefficient, construct an exception report for the continuous casting and rolling equipment. Based on the exception report, generate an adjustment coordination instruction for the continuous casting and rolling equipment. Based on the adjustment coordination instruction, execute the safe production of the copper rod by the continuous casting and rolling equipment.

[0135] In several embodiments provided by the present invention, it should be understood that the disclosed equipment, system and method can be implemented in other ways. For example, the system embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0136] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0137] In addition, in each embodiment of the present invention, the functional modules can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0138] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0139] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any associated drawing marks in the claims should not be regarded as limiting the claimed rights.

[0140] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is to use a digital computer or a machine controlled by a digital computer to simulate, extend and expand human intelligence, sense the environment, acquire knowledge and use knowledge to obtain the best results of theory, method, technology and application system.

[0141] In addition, it is obvious that the term "including" does not exclude other units or steps, and the singular form does not exclude the plural form. A plurality of units or systems stated in the system claims can also be implemented by one unit or system through software or hardware. Terms such as first and second are used to denote names and do not denote any particular order.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A control method for continuous casting and rolling equipment applied to the production of copper wire rods, characterized in that, The method includes: Obtain the continuous casting and rolling production scenario of the copper rod, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed collaborative network for the continuous casting and rolling equipment; Analyze the production requirements of the copper rod, identify the functional indicators of the continuous casting and rolling equipment, and based on the production requirements and functional indicators, use the distributed collaborative network to construct an initial collaborative instruction for the continuous casting and rolling equipment; Based on the initial collaborative instruction, simulate the operation of the continuous casting and rolling equipment to obtain simulated operation data, where the simulated operation data includes: copper rod images and equipment operation data; Extract the image detail features of the copper rod image, based on the image detail features, calculate the defect coefficient of the copper rod corresponding to the copper rod image, and based on the equipment operation data, analyze the equipment operation loss coefficient of the continuous casting and rolling equipment; Based on the defect coefficient and the equipment operation loss coefficient, construct an exception report for the continuous casting and rolling equipment, based on the exception report, generate an adjustment collaborative instruction for the continuous casting and rolling equipment, and based on the adjustment collaborative instruction, execute the safe production of the continuous casting and rolling equipment for the copper rod.

2. The control method of the continuous casting and rolling equipment applied to the production of copper wire rods according to claim 1, wherein, The construction of the distributed collaborative network for the continuous casting and rolling equipment includes: Identify the equipment type of the continuous casting and rolling equipment; Based on the equipment type, determine the network interface of the continuous casting and rolling equipment; Based on the network interface, adapt the network protocol of the continuous casting and rolling equipment; Based on the network protocol, construct a distributed collaborative network for the continuous casting and rolling equipment.

3. The control method of the continuous casting and rolling equipment applied to the production of copper wire rods according to claim 1, characterized in that, The construction of the initial collaborative instruction for the continuous casting and rolling equipment by using the distributed collaborative network based on the production requirements and functional indicators includes: Based on the production requirements and functional indicators, analyze the equipment tasks of the continuous casting and rolling equipment; Based on the equipment tasks, use the collaborative function of the distributed collaborative network to calculate the collaborative coefficient of the continuous casting and rolling equipment; Based on the collaborative coefficient, analyze the interaction rules of the continuous casting and rolling equipment; Based on the interaction rules and the equipment tasks, construct an initial collaborative instruction for the continuous casting and rolling equipment.

4. The control method of the continuous casting and rolling equipment applied to the production of copper rod according to claim 3, characterized in that, The calculation of the collaborative coefficient of the continuous casting and rolling equipment by using the collaborative function of the distributed collaborative network based on the equipment tasks includes: Based on the equipment tasks, analyze the task indicators of the continuous casting and rolling equipment; Based on the task indicators, use the collaborative function to calculate the collaborative coefficient of the continuous casting and rolling equipment; where the collaborative function: Q(e,s) = Cop((2*τ^2)*||e v -s c ||^2) Among them, Q(e, s) represents the coordination coefficient between the e-th continuous casting and rolling equipment and the s-th continuous casting and rolling equipment, where e v represents the v-th task index of the e-th continuous casting and rolling equipment, and s c represents the c-th task index of the s-th continuous casting and rolling equipment, Cop represents the coordination function, and τ represents the number of continuous casting and rolling equipment.

5. The control method of the continuous casting and rolling equipment applied to the production of copper wire rods according to claim 1, wherein The simulation of the operation of the continuous casting and rolling equipment based on the initial collaborative instruction to obtain simulated operation data includes: Construct a spatial coordinate system for the continuous casting and rolling equipment; Based on the spatial coordinate system, identify the point cloud data of the continuous casting and rolling equipment; Based on the point cloud data and the spatial coordinate system, construct a three-dimensional modeling scenario for the continuous casting and rolling equipment; Based on the initial collaborative instruction, use the three-dimensional modeling scenario to simulate the operation of the continuous casting and rolling equipment to obtain the simulated operation data.

6. The control method of the continuous casting and rolling equipment applied to the production of copper rod as claimed in claim 5, wherein The construction of the three-dimensional modeling scenario for the continuous casting and rolling equipment based on the point cloud data and the spatial coordinate system includes: Based on the spatial coordinate system, use the following formula to calculate the curve coordinates of the corresponding point cloud data of the continuous casting and rolling equipment: Among them, (x, y, z) represents the curvilinear coordinates of the nth data point in the point cloud data in the spatial coordinate system, and x n represents the value of the nth data point in the point cloud data on the x-axis of the spatial coordinate system, and y n represents the value of the nth data point in the point cloud data on the y-axis of the spatial coordinate system, and z n represents the value of the nth data point in the point cloud data on the z-axis of the spatial coordinate system, and ω n represents the weight coefficient of the nth data point in the point cloud data, and t represents the number of corresponding data points in the point cloud data; Based on the curve coordinates, construct the three-dimensional component model of the functional component.

7. The control method of the continuous casting and rolling equipment applied to the production of copper wire rods according to claim 1, characterized in that, The extraction of the image detail features of the copper rod image includes: Perform normalization processing on the copper rod image to obtain a normalized image; Perform wavelet decomposition on the normalized image to obtain image detail coefficients; Based on the image detail coefficients, extract the image detail features of the copper rod image.

8. The control method of the continuous casting and rolling equipment applied to the production of copper rod according to claim 7, characterized in that, The performing wavelet decomposition on the normalized image to obtain image detail coefficients includes: Determine the decomposition level of the normalized image; Based on the decomposition level, use the following formula to perform wavelet decomposition on the normalized image to obtain image detail coefficients: Among them, F a represents the image detail coefficient at the a-th level of the normalized image, μ represents the wavelet function, M represents the image area of the normalized image, X represents the normalized image, a represents the decomposition level of the normalized image, and k represents the discrete time or space index of the normalized image.

9. The control method of the continuous casting and rolling equipment applied to the production of copper wire rods according to claim 1, characterized in that, The analyzing the equipment operation loss coefficient of the continuous casting and rolling equipment based on the equipment operation data includes: Analyze the operation state of the continuous casting and rolling equipment based on the equipment operation data; Identify the operation losses of the continuous casting and rolling equipment based on the operation state; Determine the loss weight of the operation losses; Based on the loss weight, calculate the equipment operation loss coefficient of the continuous casting and rolling equipment.

10. A control system for a continuous casting and rolling equipment applied to the production of copper wire rods, characterized in that, For executing the control method of the continuous casting and rolling equipment applied to the production of copper rods as described in any one of claims 1-9, the system includes: A collaborative network construction module, configured to obtain the continuous casting and rolling production scenario of copper rods, identify the continuous casting and rolling equipment in the continuous casting and rolling production scenario, and construct a distributed collaborative network of the continuous casting and rolling equipment; A collaborative instruction setting module, configured to analyze the production requirements of the copper rods, identify the functional indicators of the continuous casting and rolling equipment, and based on the production requirements and functional indicators, use the distributed collaborative network to construct an initial collaborative instruction for the continuous casting and rolling equipment; An operation data acquisition module, configured to simulate the operation of the continuous casting and rolling equipment based on the initial collaborative instruction to obtain simulated operation data, where the simulated operation data includes: copper rod images and equipment operation data; An operation loss calculation module, configured to extract the image detail features of the copper rod image, calculate the defect coefficient of the image copper rod corresponding to the copper rod image based on the image detail features, and analyze the equipment operation loss coefficient of the continuous casting and rolling equipment based on the equipment operation data; A copper rod production module, configured to construct an exception report for the continuous casting and rolling equipment based on the defect coefficient and the equipment operation loss coefficient, generate an adjustment collaborative instruction for the continuous casting and rolling equipment based on the exception report, and execute the safe production of the copper rod by the continuous casting and rolling equipment based on the adjustment collaborative instruction.

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