Electrolytic copper manufacturing method and equipment

Abstract

The invention is suitable for the technical field of electrolytic copper, and particularly relates to an electrolytic copper manufacturing method and device.The method comprises the steps that multiple production effect factors used for representing parameters capable of influencing the precipitation efficiency of the electrolytic copper are obtained; determining regulation and control mode information which corresponds to each production effect factor and is used for representing a mode of adjusting related parameters in the electrolytic copper manufacturing process by the electrolytic copper manufacturing equipment; analyzing the priority of the multiple pieces of regulation and control mode information to obtain an analysis result; and according to the analysis result, the electrolytic copper manufacturing equipment is controlled to execute regulation and control operation. According to the method, different regulation and control modes are determined for the production effect factors capable of influencing the precipitation efficiency of the electrolytic copper, the priority of the various regulation and control modes is analyzed, and the regulation and control operation of the electrolytic copper manufacturing equipment is controlled according to the priority, so that production resources can be utilized to the maximum extent, energy is effectively saved, the production cost is reduced, and the production efficiency is remarkably improved; the energy efficiency ratio is improved, so that the emission of pollutants is reduced, the environment is protected, and sustainable development is realized.

Description

Technical Field

[0001] The present application belongs to the technical field of electrolytic copper, and in particular to a method and equipment for manufacturing electrolytic copper. Background Art

[0002] Electrolytic copper is an industrial process that uses electrolysis to extract high-purity copper from copper-containing raw materials. The operation is relatively simple and the production process can be optimized by adjusting process parameters.

[0003] In the prior art, as electrolytic copper is continuously manufactured, production efficiency is usually maintained by replenishing pre-prepared electrolyte. However, in an electrolytic cell that has been in production for a period of time, replenishing electrolyte is not necessarily the most effective measure to maintain production efficiency. Summary of the invention

[0004] The embodiments of the present application provide a method and device for manufacturing electrolytic copper, which can solve the technical problem of low effectiveness in maintaining production efficiency during the continuous manufacturing process of electrolytic copper.

[0005] In a first aspect, an embodiment of the present application provides a method for manufacturing electrolytic copper, comprising:

[0006] Acquire multiple production efficiency factors; wherein the production efficiency factors are used to represent parameters that can affect the electrolytic copper precipitation efficiency;

[0007] Determine the control method information corresponding to each of the production efficiency factors; wherein the control method information represents the method in which the electrolytic copper manufacturing equipment adjusts the relevant parameters in the electrolytic copper manufacturing process;

[0008] Analyze the priorities of the plurality of control mode information to obtain analysis results;

[0009] According to the analysis result, the electrolytic copper manufacturing equipment is controlled to perform regulation operations.

[0010] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0011] By obtaining multiple production efficiency factors for indicating parameters that can affect the electrolytic copper precipitation efficiency; determining the control mode information corresponding to each production efficiency factor for indicating the way in which the electrolytic copper manufacturing equipment adjusts the relevant parameters in the electrolytic copper manufacturing process; analyzing the priority of multiple control mode information to obtain the analysis result; and controlling the electrolytic copper manufacturing equipment to perform the control operation according to the analysis result. The method determines different control modes for the production efficiency factors that can affect the electrolytic copper precipitation efficiency, analyzes the priority of various control modes, and controls the control operation of the electrolytic copper manufacturing equipment according to the priority, which can maximize the use of production resources, effectively save energy, reduce production costs, significantly improve production efficiency, improve energy efficiency ratio, and thus reduce pollutant emissions, which is beneficial to protecting the environment and achieving sustainable development.

[0012] In a possible implementation of the first aspect, determining the regulation mode information corresponding to each of the production and efficacy factors includes:

[0013] Acquire equipment information; wherein the equipment information reflects the devices corresponding to each process flow of the electrolytic copper manufacturing equipment;

[0014] According to the equipment information, a plurality of the control mode information corresponding to the plurality of the production efficiency factors are determined; wherein the production efficiency factors correspond to the control mode information one-to-one.

[0015] In a possible implementation manner of the first aspect, analyzing the priorities of the plurality of control mode information to obtain an analysis result includes:

[0016] Analyze the cost data of the plurality of control mode information; wherein the cost data is used to reflect the cost required for controlling the electrolytic copper manufacturing equipment to perform control operations according to the control mode information;

[0017] The plurality of cost data are sorted, and the sorting result is determined as the analysis result.

[0018] In a possible implementation manner of the first aspect, analyzing the cost data of the plurality of control method information includes:

[0019] Obtain current and expected production efficiency data;

[0020] According to the current production efficiency data and the expected production efficiency data, the cost data corresponding to each of the control method information is obtained.

[0021] In a possible implementation of the first aspect, obtaining cost data corresponding to each of the control method information according to the current production efficiency data and the expected production efficiency data includes:

[0022] Acquiring current parameter data; wherein the current parameter data is related to the production effect factor;

[0023] Obtaining target parameter data according to the current production efficiency data, the expected production efficiency data, the current parameter data and the control method information;

[0024] Obtain resource data according to the current parameter data and the target parameter data; wherein the resource data represents the resources required to adjust the current production efficiency data to the expected production efficiency data according to the control mode information;

[0025] The cost data is obtained according to the device information and the resource data.

[0026] In a possible implementation manner of the first aspect, obtaining target parameter data according to the current production efficiency data, the expected production efficiency data, the current parameter data, and the control mode information includes:

[0027] Establishing a control mode correlation curve between parameter data and production efficiency data; wherein the parameter data represents equipment parameters corresponding to production efficiency factors; the production efficiency data represents the electrolytic copper precipitation efficiency of the electrolytic copper manufacturing equipment when the electrolytic copper manufacturing equipment operates according to the parameter data under preset conditions; the control mode correlation curve reflects the changing relationship between the production efficiency data and the parameter data;

[0028] Calculate the ratio of the current production efficiency data to the expected production efficiency data to obtain production efficiency percentage data to be improved;

[0029] According to the current parameter data, the production efficiency data is obtained by matching the control mode correlation curve;

[0030] Calculate the product of the production efficiency data and the production efficiency percentage data to be improved to obtain the improved production efficiency data;

[0031] According to the improved production efficiency data, the improved parameter data is matched on the control mode correlation curve to obtain the improved parameter data, and the improved parameter data is determined as the target parameter data.

[0032] In a possible implementation manner of the first aspect, the cost data includes time cost data and economic cost data; and sorting the plurality of cost data and determining the sorting result as the analysis result includes:

[0033] Calculating the absolute value of the time cost and the absolute value of the economic cost of each of the cost data according to the time cost data and the economic cost data of the cost data;

[0034] Analyze the plurality of cost data according to the absolute value of the time cost and the absolute value of the economic cost to obtain the absolute value of the cost;

[0035] The absolute values ​​of the costs are sorted, and the sorting result is determined as the analysis result.

[0036] In a possible implementation manner of the first aspect, calculating, according to the time cost data and the economic cost data of the cost data, an absolute value of the time cost and an absolute value of the economic cost of each of the cost data, includes:

[0037] Taking the time cost data and the economic cost data of any one of the cost data as reference time cost data and reference economic cost data;

[0038] The time cost absolute value and the economic cost absolute value of each of the cost data are calculated based on the reference time cost data and the reference economic cost data.

[0039] In a possible implementation manner of the first aspect, analyzing the plurality of cost data according to the absolute value of the time cost and the absolute value of the economic cost to obtain the absolute value of the cost includes:

[0040] Obtaining data on the proportion of manufacturing to be done, the proportion of remaining time, and the proportion of remaining economy;

[0041] Obtaining time weight data and economic weight data according to the to-be-manufactured proportion data, the remaining time proportion data and the remaining economic proportion data;

[0042] According to the time weight data and the economic weight data, the absolute value of the time cost and the absolute value of the economic cost in each of the cost data are weighted and calculated to obtain the absolute value of the cost.

[0043] In a possible implementation manner of the first aspect, controlling the electrolytic copper manufacturing equipment to perform a regulation operation according to the analysis result includes:

[0044] According to the analysis result, one piece of control method information with the lowest absolute cost is selected from the plurality of control method information, and is determined as the effective control method information;

[0045] According to the effective control mode information, the electrolytic copper manufacturing equipment is determined and controlled to perform the control operation.

[0046] In a second aspect, an embodiment of the present application provides an electrolytic copper manufacturing system, which is applied to an electrolytic copper manufacturing device, and the system includes:

[0047] An acquisition unit, used to acquire a plurality of production efficiency factors; wherein the production efficiency factors are used to represent parameters that can affect the electrolytic copper precipitation efficiency;

[0048] A determination unit, used to determine the control mode information corresponding to each of the production efficiency factors; wherein the control mode information represents the mode in which the electrolytic copper manufacturing equipment adjusts the relevant parameters in the electrolytic copper manufacturing process;

[0049] An analysis unit, used for analyzing the priorities of the plurality of control mode information to obtain an analysis result;

[0050] A control unit is used to control the electrolytic copper manufacturing equipment to perform regulation operations according to the analysis results.

[0051] In a third aspect, an embodiment of the present application provides an electrolytic copper manufacturing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described in the first aspect when executing the computer program.

[0052] In a fourth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electrolytic copper manufacturing device, the electrolytic copper manufacturing device executes the electrolytic copper manufacturing method described in any one of the first aspects above.

[0053] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0055] Figure 1 It is a schematic flow chart of a method for manufacturing electrolytic copper provided in one embodiment of the present application;

[0056] Figure 2 It is a schematic diagram of the implementation process of step S200 in the electrolytic copper manufacturing method provided in one embodiment of the present application;

[0057] Figure 3 It is a schematic diagram of the implementation process of step S300 in the electrolytic copper manufacturing method provided in one embodiment of the present application;

[0058] Figure 4 It is a schematic diagram of the implementation process of step S310 in the electrolytic copper manufacturing method provided in one embodiment of the present application;

[0059] Figure 5 It is a schematic diagram of the implementation process of step S320 in the electrolytic copper manufacturing method provided in one embodiment of the present application;

[0060] Figure 6 It is a schematic diagram of the implementation process of step S400 in the electrolytic copper manufacturing method provided in one embodiment of the present application;

[0061] Figure 7 It is a structural schematic diagram of an electrolytic copper manufacturing system provided in one embodiment of the present application;

[0062] Figure 8 It is a schematic diagram of the structure of a control device for electrolytic copper manufacturing equipment provided in one embodiment of the present application.

[0063] Among them, the reference numerals in the figure are:

[0064] 100. Electrolytic copper manufacturing equipment; 10. Control device. DETAILED DESCRIPTION

[0065] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0066] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0067] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0068] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0069] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0070] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0071] In the related art, as electrolytic copper is continuously manufactured, production efficiency is usually maintained by replenishing pre-prepared electrolyte. However, in an electrolytic cell that has been in production for a period of time, replenishing electrolyte is not necessarily the most effective measure to maintain production efficiency.

[0072] To solve the above problems, the embodiment of the present application provides an electrolytic copper manufacturing method and equipment. In the method, multiple production efficiency factors for representing parameters that can affect the electrolytic copper precipitation efficiency are obtained; the control mode information corresponding to each production efficiency factor for representing the way in which the electrolytic copper manufacturing equipment 100 adjusts the relevant parameters in the electrolytic copper manufacturing process is determined; the priority of multiple control mode information is analyzed to obtain the analysis result; according to the analysis result, the electrolytic copper manufacturing equipment 100 is controlled to perform the control operation. The method determines different control modes for the production efficiency factors that can affect the electrolytic copper precipitation efficiency, analyzes the priority of various control modes, and controls the control operation of the electrolytic copper manufacturing equipment 100 according to the priority, which can maximize the use of production resources, effectively save energy, reduce production costs, significantly improve production efficiency, improve energy efficiency ratio, and thus reduce pollutant emissions, which is conducive to protecting the environment and achieving sustainable development.

[0073] The electrolytic copper manufacturing method provided in the embodiment of the present application can be applied to the electrolytic copper manufacturing equipment 100. In this case, the electrolytic copper manufacturing equipment 100 is the executor of the electrolytic copper manufacturing method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the electrolytic copper manufacturing equipment 100.

[0074] For example, the electrolytic copper manufacturing equipment 100 includes a control device 10, which can be a mobile phone, a tablet computer, a laptop computer, a desktop computer, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a computer, a laptop computer, a handheld communication device, a handheld computing device, etc.

[0075] In order to better understand the electrolytic copper manufacturing method provided in the embodiment of the present application, the specific implementation process of the electrolytic copper manufacturing method provided in the embodiment of the present application is exemplarily introduced below.

[0076] Figure 1 A schematic flow chart of a method for producing electrolytic copper provided in an embodiment of the present application is shown, and the method for producing electrolytic copper comprises:

[0077] S100, obtaining a plurality of production efficiency factors; wherein the production efficiency factors are used to represent parameters that can affect the electrolytic copper precipitation efficiency.

[0078] It can be understood that the efficiency factor is used to represent the parameters that can artificially affect the electrolytic copper precipitation efficiency during the manufacturing process of the electrolytic copper manufacturing equipment 100. The efficiency factor may include the temperature of the electrolyte in the electrolytic cell, the pH value of the electrolyte, the distance between the electrodes and the current.

[0079] With such a setting, by obtaining multiple production efficiency factors, the factors affecting the electrolytic copper precipitation efficiency can be accurately understood, which is conducive to targeted adjustments to various parameters, maintaining the stability of the production process, improving the electrolytic copper precipitation efficiency and quality, reducing waste generation, reducing pollution to the environment, reducing energy consumption and material waste, and reducing production costs.

[0080] S200, determining the control method information corresponding to each production efficiency factor; wherein the control method information represents the method in which the electrolytic copper manufacturing equipment 100 adjusts relevant parameters in the electrolytic copper manufacturing process.

[0081] It is understandable that the electrolytic copper manufacturing equipment 100 needs to send control signals to different devices to adjust different parameters, and different devices perform different control methods according to the control signals. According to different devices of the electrolytic copper manufacturing equipment 100, each production efficiency factor corresponds to different control method information.

[0082] As an optional embodiment of this application, please refer to Figure 2 , S200, determining the control method information corresponding to each production factor, including:

[0083] S210, acquiring equipment information; wherein the equipment information reflects the devices corresponding to each process flow of the electrolytic copper manufacturing equipment 100.

[0084] It is understandable that different process flows in the electrolytic copper manufacturing process require different devices to be executed. The various devices of the electrolytic copper manufacturing equipment 100 can be electrically connected to the control device 10 respectively, so that data interaction occurs between the control device 10 and each device to obtain device information; or the information of the devices of the electrolytic copper manufacturing equipment 100 can be manually input into the control device to obtain device information, but is not limited to this. The devices of the electrolytic copper manufacturing equipment 100 are determined according to the actual production situation. For example, the electrolytic copper manufacturing equipment 100 may include a heating device for heating the electrolytic cell, a liquid adding device for adding electrolyte to adjust the pH value, a moving device for moving electrodes to adjust the distance between motors, and a rectifier for controlling the current.

[0085] S220, determining multiple control mode information corresponding to multiple production efficiency factors according to the equipment information; wherein the production efficiency factors correspond to the control mode information one-to-one.

[0086] It can be understood that according to the devices actually owned by the electrolytic copper manufacturing equipment 100 reflected by the equipment information, the production efficiency factors that can be affected by the control mode information of different devices are determined to obtain the corresponding relationship between the production efficiency factors and the control mode information. The corresponding relationship library between the device, the control mode and the production efficiency factor can be manually input in advance, and then the control mode information corresponding to the production efficiency factor can be obtained by matching the acquired equipment information in the corresponding relationship library; or by collecting multiple data including the corresponding relationship between the equipment information, the production efficiency factor and the control mode information, a machine learning model (decision tree model or rule learning algorithm model) can be trained using multiple corresponding relationship data to obtain a corresponding relationship recognition model, and the corresponding control mode information corresponding to the production efficiency factor can be obtained by inputting the equipment information into the corresponding relationship recognition model, but it is not limited to this. For example, the correspondence between the equipment information, the efficiency factor and the control method information can be expressed as the equipment information reflects that the electrolytic copper manufacturing equipment 100 includes a heating device, a liquid adding device, a moving device and a rectifier, wherein the control method of the heating device is to adjust the temperature, and the corresponding efficiency factor is the temperature of the electrolyte; the control method of the liquid adding device is to add the solution, and the corresponding efficiency factor is the pH value of the electrolyte; the control method of the moving device is to move the electrode, and the corresponding efficiency factor is the electrode spacing; the control method of the rectifier is to control the current size, and the corresponding efficiency factor is the current size, but is not limited to this.

[0087] With such a configuration, by acquiring equipment information and determining the correspondence between the production efficiency factor and the control method information, it is possible to obtain the control method information of which parameters the electrolytic copper manufacturing equipment 100 can use to adjust the electrolytic copper precipitation efficiency. By adjusting the electrolytic copper manufacturing equipment 100 in a variety of ways, it is possible to comprehensively compare a plurality of control methods, which is conducive to discovering the control method that can significantly improve the production efficiency and fit the actual production conditions, thereby effectively improving the precipitation efficiency and quality of the electrolytic copper.

[0088] S300, analyzing the priorities of multiple control mode information to obtain analysis results.

[0089] It can be understood that the priority of the control method information indicates the degree to which the control method can meet the preset production demand under the preset production demand. The analysis result indicates the priority order of multiple control method information according to the preset production demand. The influence of multiple control method information on the electrolytic copper precipitation efficiency is different, and the priority of multiple control method information needs to be analyzed according to the production demand.

[0090] As an optional embodiment of this application, please refer to Figure 3 , S300, analyzing the priorities of multiple control mode information to obtain analysis results, including:

[0091] S310, analyzing cost data of a plurality of control mode information, wherein the cost data is used to reflect the cost required for controlling the electrolytic copper manufacturing equipment 100 to perform control operations according to the control mode information.

[0092] It can be understood that the cost is the value of the resources consumed by controlling the electrolytic copper manufacturing equipment 100 to perform the regulation operation. The consumed resources can be time resources, material resources, or energy resources, but are not limited thereto.

[0093] Optionally, see Figure 4 , S310, analyzing the cost data of multiple control method information, including:

[0094] S311, obtaining current production efficiency data and expected production efficiency data.

[0095] It can be understood that the current production efficiency data represents the weight of electrolytic copper precipitated in the current electrolytic cell within the preset time. The expected production efficiency data represents the weight of electrolytic copper precipitated in the electrolytic cell within the preset time in the preset expectation. The current production efficiency can be achieved by setting a weighing device on the electrolytic cathode to measure the weight of electrolytic copper precipitated within the preset time; or after the preset time, stop the electrolysis, take out the cathode, and use a balance to measure the weight of the precipitated copper, but it is not limited to this. The expected production efficiency data can be an expected value preset by humans, or the theoretical weight of the copper precipitated in the electrolytic cell can be calculated by Faraday's law, but it is not limited to this.

[0096] S312, obtaining cost data corresponding to each control method information based on the current production efficiency data and the expected production efficiency data; wherein the cost data is used to reflect the cost required to adjust the current production efficiency data to the expected production efficiency data according to the control method information.

[0097] It can be understood that the resources required to improve the current production efficiency data to the expected production efficiency data according to each control method information are calculated respectively, and the cost data corresponding to each control method information is calculated based on the required resources.

[0098] In one possible implementation, see Figure 4 , S312, according to the current production efficiency data and the expected production efficiency data, obtain the cost data corresponding to each control method information, including:

[0099] S3121, obtaining current parameter data; wherein the current parameter data is related to the production efficiency factor.

[0100] It can be understood that the parameter data corresponding to the effect factor can be obtained according to the corresponding instrument or sensor. For example, if the effect factor is the temperature of the electrolyte, the corresponding parameter data can be the temperature data of the electrolyte, and a thermometer can be set in the electrolytic cell, or an infrared temperature sensor can be used to measure the electrolyte, but it is not limited to this; if the effect factor is the pH value of the electrolyte, the corresponding parameter data can be the acidity and alkalinity data of the electrolyte, and a pH meter or pH test paper can be used to measure the solution, but it is not limited to this; if the effect factor is the distance between electrodes, the corresponding parameter data can be the electrode spacing data, and a laser rangefinder or ultrasonic sensor can be used to measure the electrode spacing data, but it is not limited to this; if the effect factor is the current size, the corresponding parameter data can be the current intensity data, and an ammeter can be set on the circuit where the electrode is located, or the current intensity on the electrode circuit can be tested by a handheld current tester, but it is not limited to this.

[0101] S3122, obtain target parameter data based on current production efficiency data, expected production efficiency data, current parameter data and control method information.

[0102] It can be understood that the target parameter data means that when the current parameter data is adjusted to the target parameter data while other current parameters remain unchanged, the current efficiency data can be adjusted to the expected efficiency data. For example, when the pH data, electrode spacing data and current intensity data remain unchanged, adjusting the temperature data from "40 degrees" to "60 degrees" can enable the current efficiency data to be adjusted to the expected efficiency data; or when the temperature data, electrode spacing data and current intensity data remain unchanged, adjusting the pH data from "6" to "5" can enable the current efficiency data to be adjusted to the expected efficiency data. It should be noted that the above given values ​​do not represent actual data, but are only set for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0103] Optionally, see Figure 4 , S3122, according to the current production efficiency data, the expected production efficiency data, the current parameter data and the control method information, the target parameter data is obtained, including:

[0104] S31221, establish a control method correlation curve between parameter data and production efficiency data; wherein, the parameter data represents equipment parameters corresponding to production efficiency factors; the production efficiency data represents the electrolytic copper precipitation efficiency of the electrolytic copper manufacturing equipment 100 when the electrolytic copper manufacturing equipment 100 operates according to the parameter data under preset conditions; the control method correlation curve reflects the changing relationship between the production efficiency data and the parameter data.

[0105] It can be understood that multiple sets of parameter data and production efficiency data can be obtained from existing production records, and the quantitative relationship between the parameter data and the production efficiency data can be obtained by comparing the parameters, and a control method correlation curve can be established based on the quantitative relationship; it is also possible to control the change of a single parameter data of the electrolytic copper manufacturing equipment 100 in the laboratory, record the production efficiency data corresponding to each parameter data, and draw a control method correlation curve based on the recorded parameter data and production efficiency data, but it is not limited to this.

[0106] S31222, calculate the ratio of current production efficiency data to expected production efficiency data, and obtain the production efficiency percentage data to be improved.

[0107] It can be understood that the percentage data of production efficiency to be improved indicates the extent to which the current production efficiency data needs to be improved.

[0108] S31223, matching the current parameter data on the control mode correlation curve to obtain production efficiency data.

[0109] It can be understood that the production efficiency data obtained by matching the current parameter data on the control mode correlation curve represents a benchmark value of the current parameter data under laboratory conditions.

[0110] S31224, calculating the product of the production efficiency data and the production efficiency percentage data to be improved, and obtaining the improved production efficiency data.

[0111] It can be understood that the improved production efficiency data is the product of the production efficiency data and the production efficiency percentage data to be improved, which represents the baseline value after the current production efficiency data is improved by the required degree.

[0112] S31225, matching the improved production efficiency data on the control method correlation curve to obtain improved parameter data, and determining the improved parameter data as the target parameter data.

[0113] Exemplarily, the improved parameter data represents the parameters that can improve the current production efficiency data to the expected production efficiency data. According to the above calculation process, the improved parameter data can be obtained, and the improved parameter data can be determined as the target parameter data. For example, assuming that the current production efficiency data is "100g / s" and the expected production efficiency data is "110g / s", the production efficiency percentage data to be improved is "1.1 (110 / 100=1.1)", and according to the current parameter data "solution temperature 30 degrees", the production efficiency data is matched to "10g / s" on the control mode correlation curve, and the improved production efficiency data is calculated to be "11g / s (10*1.1=11)", and according to the improved production efficiency data "11g / s", the improved parameter data is matched to "solution temperature 45 degrees" on the control mode correlation curve, then the target parameter data is "solution temperature 45 degrees"; or assuming that the current production efficiency data is "120g / s" and the expected production efficiency data is "144g / s", the production efficiency percentage data to be improved is "1.2 (144 / 120=1.2)", according to the current parameter data "pH 6", the production efficiency data is matched to "10g / s" on the control mode correlation curve, and the improved production efficiency data is calculated to be "12g / s (10*1.2=12)", according to the improved production efficiency data "12g / s", the improved parameter data is matched to "pH 5" on the control mode correlation curve, and the target parameter data is "pH 5". It should be noted that the above given values ​​do not represent the actual data, but are only set for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0114] S3123, obtaining resource data according to current parameter data and target parameter data; wherein the resource data represents the resources required to adjust the current production efficiency data to the expected production efficiency data according to the control method information.

[0115] It can be understood that the difference between the current parameter data and the target parameter data is calculated, and the required resource data is calculated based on the difference.

[0116] S3124, obtain cost data based on the equipment information and resource data.

[0117] Exemplarily, according to the equipment information and the control mode information, the method of injecting resources into the electrolytic copper process by the electrolytic copper manufacturing equipment 100 can be obtained, and the resource data can be calculated according to different methods to obtain the cost of injecting the required resource data. For example, it can be assumed that the volume of the solution in the electrolytic cell is "1000L", and the electrolyte in the electrolytic cell is heated from "30 degrees" to "40 degrees", and the difference is "10 degrees (4030=10)", and "46400kj of heat and 20min of time" are required, then the cost data is "46400kj of heat and 20min of time"; or it can be assumed that the volume of the solution in the electrolytic cell is "1000L", and the available configuration solution pH is "3", and the pH of the solution in the electrolytic cell is adjusted from "6" to "5". According to the liquid adding and stirring efficiency of the liquid adding device, the liquid adding device needs to add "9L of pH 3 solution", and the time required for stirring is "2min", then the cost data is "9L of pH 3 solution and 2min of time". It should be noted that the above given values ​​do not represent actual data, but are only set for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0118] With such a setting, by calculating the cost data corresponding to each control method, the economic cost corresponding to the information of each control method can be intuitively expressed through data, which will help to make reasonable adjustment measures and determine the reasonable control method. It can allocate resources more effectively and ensure that resources are invested in the most beneficial control method. By continuously monitoring and analyzing the cost of control methods, it can promote continuous improvement and innovation of the process and maintain high-efficiency production.

[0119] S320, sorting the plurality of cost data, and determining the sorting result as the analysis result.

[0120] It can be understood that the sorting result is the result obtained by sorting the multiple cost data in the order of numerical values, and can be sorted from large to small or from small to large.

[0121] Optionally, see Figure 5 , the cost data includes time cost data and economic cost data; S320, sorting the plurality of cost data, and determining the sorting result as the analysis result, including:

[0122] S321, calculating the absolute value of the time cost and the absolute value of the economic cost of each cost data according to the time cost data and the economic cost data of the cost data.

[0123] Exemplarily, the cost data can be split into time cost data and economic cost data, and the time cost data and economic cost data can be converted into the absolute value of time cost and the absolute value of economic cost with the same reference, and then compared and sorted. For example, it can be assumed that the cost data is "46400kj of heat, 20min". According to the heating efficiency of the heating device, "13kWh of electricity" is required to generate "46400kj of heat". It can be assumed that the electricity price is 0.6 yuan / kWh, then the cost data can be split into the absolute value of time cost "20min" and the absolute value of economic cost "7.8 yuan (13*0.6=7.8)"; or assuming that the cost data is "9L solution with pH 3, 2min", assuming that the market price of the solution with pH 3 is "3 yuan / L", then the cost data can be split into the absolute value of time cost "2min" and the absolute value of economic cost "27 yuan (9*3=27)". It should be noted that the above given values ​​do not represent actual data, but are only set for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0124] In one possible implementation, see Figure 5 S321, according to the time cost data and the economic cost data of the cost data, calculating the absolute value of the time cost and the absolute value of the economic cost of each cost data, including:

[0125] S3211, taking the time cost data and economic cost data of any cost data as reference time cost data and reference economic cost data.

[0126] S3212, calculating the absolute value of the time cost and the absolute value of the economic cost of each cost data based on the reference time cost data and the reference economic cost data.

[0127] It can be understood that the time cost data and economic cost data of any cost data can be used as reference time cost data and reference economic cost data, and the time cost data and economic cost data of each cost data can be divided by the reference time cost data and reference economic cost data, respectively, to obtain the absolute value of the time cost and the absolute value of the economic cost of each cost data. For example, it can be assumed that the time cost data of heating the electrolyte in the electrolytic cell from "30 degrees" to "40 degrees" is "20min" as the reference time cost data, and the economic cost data "7.8 yuan" is the reference economic cost data, then the absolute value of the time cost of heating the electrolyte in the electrolytic cell from "30 degrees" to "40 degrees" is "1 (20 / 20 = 1)", and the absolute value of the economic cost is "1 (7.8 / 7.8 = 1)", and the absolute value of the time cost of adjusting the pH value of the solution in the electrolytic cell from "6" to "5" is "0.1 (2 / 20 = 0.1)", and the absolute value of the economic cost is "3.5 (27 / 7.8 = 3.5)". It should be noted that the above given values ​​do not represent actual data, but are only set for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0128] With such a setting, by converting the cost data corresponding to different control methods into the absolute value of time cost and the absolute value of economic cost with the same reference value, the cost data corresponding to each control method can be compared from the two perspectives of time and economy, and resources can be scheduled based on both time and economy to ensure that resources are invested in the control method that can bring the most benefits. It is also conducive to directly comparing the benefits of each cost data and maintaining high-efficiency production.

[0129] S322, analyzing multiple cost data according to the absolute value of time cost and the absolute value of economic cost to obtain the absolute value of cost.

[0130] It can be understood that the absolute value of cost is a value assigned based on the absolute value of time cost and the absolute value of economic cost to reflect the regulation cost. The absolute value of cost can be obtained by weighted analysis of the absolute value of time cost and the absolute value of economic cost of multiple cost data based on the existing time resources and economic resources.

[0131] In one possible implementation, see Figure 5 , S322, analyzing multiple cost data according to the absolute value of time cost and the absolute value of economic cost to obtain the absolute value of cost, including:

[0132] S3221, obtaining the data of the proportion to be manufactured, the remaining time proportion and the remaining economic proportion.

[0133] It can be understood that the to-be-manufactured proportion data represents the proportion of the quality of the electrolytic copper currently required to be produced to the total planned production quality, the remaining time proportion data represents the proportion of the remaining production time to the total production time, and the remaining economic proportion data represents the proportion of the remaining economic value to the total economic value, wherein the total planned production quality, the total production time and the total economic value can be preset, can be manually input into the electrolytic copper manufacturing equipment 100, and can also be calculated by the electrolytic copper manufacturing equipment 100 based on the produced quality, consumed time and consumed economy.

[0134] S3222, obtaining time weight data and economic weight data according to the to-be-manufactured proportion data, the remaining time proportion data and the remaining economic proportion data.

[0135] Exemplarily, the difference between the proportion data to be manufactured and the remaining time proportion data and the remaining economic proportion data is calculated respectively, and the two differences are added with "1" respectively to obtain the time weight data and the economic weight data. For example, it can be assumed that the proportion data to be manufactured is "30%", the remaining time proportion data is "20%", and the remaining economic proportion data is "40%". The time weight data is "1.1 (30%-20%+1=1.1)", and the economic weight data is "0.9 (30%-40%+1=0.9)"; or it can be assumed that the proportion data to be manufactured is "50%", the remaining time proportion data is "70%", and the remaining economic proportion data is "40%". The time weight data is "0.8 (50%-70%+1=0.8)", and the economic weight data is "1.1 (50%-40%+1=1.1)". It should be noted that the numerical values ​​given above do not represent actual data, but are set only for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0136] S3223, according to the time weight data and the economic weight data, weighted calculation is performed on the absolute value of the time cost and the absolute value of the economic cost in each cost data respectively to obtain the absolute value of the cost.

[0137] It can be understood that the absolute value of the cost can be obtained by calculating the sum of the product of the time weight data and the absolute value of the time cost and the product of the economic weight data and the absolute value of the economic cost. For example, it can be assumed that the time weight data is "1.1", the economic weight data is "0.9", the absolute value of the time cost is "1", and the absolute value of the economic cost is "1", and the absolute value of the cost can be calculated as "2 (1.1*1+0.9*1=2)"; or it can be assumed that the time weight data is "0.8", the economic weight data is "1.1", the absolute value of the time cost is "0.1", and the absolute value of the economic cost is "3.5", and the absolute value of the cost can be calculated as "3.93 (0.8*0.1+1.1*3.5=3.93)". It should be noted that the above given values ​​do not represent actual data, but are only set for the convenience of understanding. The specific data depends on the actual situation and will not be repeated here.

[0138] With this setting, the absolute value of time cost and the absolute value of economic cost are weighted to obtain the absolute value of cost. The cost of each control method is converted according to the same reference value. The cost difference of each control method can be compared intuitively, which is helpful to make reasonable adjustment measures and determine a reasonable control method, and then effectively allocate resources to ensure that resources are invested in the most beneficial control method. By analyzing the cost of the control method, it is possible to promote continuous process improvement and innovation and maintain high-efficiency production.

[0139] S323, sorting the absolute values ​​of the costs, and determining the sorting result as the analysis result.

[0140] It can be understood that by sorting the multiple absolute cost values ​​according to their numerical values ​​and determining the sorting results as the analysis results, the obtained analysis results can reflect the differences in the resources required to be consumed by various control methods.

[0141] S400, controlling the electrolytic copper manufacturing equipment 100 to perform a control operation according to the analysis result.

[0142] As an optional embodiment of this application, please refer to Figure 6 , S400, according to the analysis result, controlling the electrolytic copper manufacturing equipment 100 to perform a control operation, including:

[0143] S410: According to the analysis result, a piece of control method information with the lowest absolute cost is selected from multiple control method information, and is determined as the effective control method information.

[0144] It can be understood that according to the sorting of the absolute cost values ​​corresponding to the multiple control method information in the analysis results, the absolute cost value with the smallest value and its corresponding control method information are selected as the effective control method information. The effective control method information represents the control method that can increase the current electrolytic copper precipitation efficiency to the expected precipitation efficiency at the lowest cost.

[0145] S420, determining and controlling the electrolytic copper manufacturing equipment 100 to perform a control operation according to the effective control method information.

[0146] With such a configuration, a control method that meets the current production conditions can be selected according to the analysis results, and the electrolytic copper manufacturing equipment 100 is controlled to perform control operations according to this control method, which is beneficial to saving energy, maximizing the use of production resources, reducing production costs, significantly improving production efficiency, and improving energy efficiency, thereby reducing pollutant emissions, which is beneficial to protecting the environment and achieving sustainable development.

[0147] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0148] Corresponding to the electrolytic copper manufacturing method described in the above embodiment, the embodiment of the present application further provides an electrolytic copper manufacturing system, and each unit of the system can implement each step of the electrolytic copper manufacturing method. Figure 7 A structural block diagram of an electrolytic copper manufacturing system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0149] Reference Figure 7 The system comprises:

[0150] An acquisition unit, used to acquire a plurality of production efficiency factors; wherein the production efficiency factors are used to represent parameters that can affect the electrolytic copper precipitation efficiency;

[0151] A determination unit, used to determine the control mode information corresponding to each production efficiency factor; wherein the control mode information represents the mode in which the electrolytic copper manufacturing equipment 100 adjusts the relevant parameters in the electrolytic copper manufacturing process;

[0152] An analysis unit, used for analyzing the priorities of multiple control mode information to obtain analysis results;

[0153] The control unit is used to control the electrolytic copper manufacturing equipment 100 to perform regulation operations according to the analysis results.

[0154] It should be noted that the information interaction, execution process and other contents between the above-mentioned units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0155] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units is used as an example for illustration. In practical applications, the above-mentioned functions can be assigned to different functional units as needed, that is, the internal structure of the system can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0156] The embodiment of the present application further provides an electrolytic copper manufacturing device 100, the electrolytic copper manufacturing device 100 comprising a control device 10, Figure 8 Schematic diagram of the structure of the control device 10 of the electrolytic copper manufacturing equipment 100 provided in one embodiment of the present application. Figure 8 As shown, the control device 10 of this embodiment includes: at least one processor 11 ( Figure 8 Only one is shown), at least one memory 12 ( Figure 8 Only one is shown in the figure) and a computer program 13 stored in the at least one memory 12 and executable on the at least one processor 11. When the processor 11 executes the computer program 13, the electrolytic copper manufacturing equipment 100 implements the steps in any of the above-mentioned electrolytic copper manufacturing method embodiments, or the electrolytic copper manufacturing equipment 100 implements the functions of the units in the above-mentioned system embodiments.

[0157] Exemplarily, the computer program 13 may be divided into one or more units, which are stored in the memory 12 and executed by the processor 11 to complete the present application. The one or more units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 13 in the control device 10.

[0158] The control device 10 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The control device 10 may include, but is not limited to, a processor 11 and a memory 12. Those skilled in the art will appreciate that Figure 8 This is only an example of the control device 10 and does not constitute a limitation on the control device 10. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0159] The processor 11 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0160] In some embodiments, the memory 12 may be an internal storage unit of the control device 10, such as a hard disk or memory of the control device 10. In other embodiments, the memory 12 may also be an external storage device of the control device 10, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 10. Further, the memory 12 may also include both an internal storage unit of the control device 10 and an external storage device. The memory 12 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0161] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0162] The embodiment of the present application provides a computer program product. When the computer program product is run on the electrolytic copper manufacturing device 100, the electronic device implements the steps in any of the above method embodiments.

[0163] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the electrolytic copper manufacturing equipment 100, a recording medium, a computer memory, a read-only memory (ROM, ReadOnly Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0164] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0165] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0166] In the embodiments provided in the present application, it should be understood that the disclosed electrolytic copper manufacturing equipment and method can be implemented in other ways. For example, the electrolytic copper manufacturing equipment embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for producing electrolytic copper, characterized in that: Applied to electrolytic copper manufacturing equipment, the method comprises: Acquire multiple production efficiency factors; wherein the production efficiency factors are used to represent parameters that can affect the electrolytic copper precipitation efficiency; Determine the control method information corresponding to each of the production efficiency factors; wherein the control method information represents the method in which the electrolytic copper manufacturing equipment adjusts the relevant parameters in the electrolytic copper manufacturing process; Analyze the priorities of the plurality of control mode information to obtain analysis results; According to the analysis result, the electrolytic copper manufacturing equipment is controlled to perform regulation operations.

2. The method for producing electrolytic copper according to claim 1, wherein: The determining of the control method information corresponding to each of the production efficiency factors includes: Acquire equipment information; wherein the equipment information reflects the devices corresponding to each process flow of the electrolytic copper manufacturing equipment; According to the equipment information, a plurality of the control mode information corresponding to the plurality of the production efficiency factors are determined; wherein the production efficiency factors correspond to the control mode information one-to-one.

3. The method for producing electrolytic copper according to claim 2, characterized in that: The analyzing the priorities of the plurality of control mode information to obtain analysis results includes: Analyze the cost data of the plurality of control mode information; wherein the cost data is used to reflect the cost required for controlling the electrolytic copper manufacturing equipment to perform control operations according to the control mode information; The plurality of cost data are sorted, and the sorting result is determined as the analysis result.

4. The method for producing electrolytic copper according to claim 3, characterized in that: The analyzing the cost data of the plurality of control mode information includes: Obtain current and expected production efficiency data; According to the current production efficiency data and the expected production efficiency data, the cost data corresponding to each of the control method information is obtained.

5. The method for producing electrolytic copper according to claim 4, characterized in that: The step of obtaining cost data corresponding to each of the control mode information according to the current production efficiency data and the expected production efficiency data includes: Acquiring current parameter data; wherein the current parameter data is related to the production effect factor; Obtaining target parameter data according to the current production efficiency data, the expected production efficiency data, the current parameter data and the control method information; Obtain resource data according to the current parameter data and the target parameter data; wherein the resource data represents the resources required to adjust the current production efficiency data to the expected production efficiency data according to the control mode information; The cost data is obtained according to the device information and the resource data.

6. The method for producing electrolytic copper according to claim 5, characterized in that: The obtaining of target parameter data according to the current production efficiency data, the expected production efficiency data, the current parameter data and the control mode information includes: Establishing a control mode correlation curve between parameter data and production efficiency data; wherein the parameter data represents equipment parameters corresponding to production efficiency factors; the production efficiency data represents the electrolytic copper precipitation efficiency of the electrolytic copper manufacturing equipment when the electrolytic copper manufacturing equipment operates according to the parameter data under preset conditions; the control mode correlation curve reflects the changing relationship between the production efficiency data and the parameter data; Calculate the ratio of the current production efficiency data to the expected production efficiency data to obtain production efficiency percentage data to be improved; According to the current parameter data, the production efficiency data is obtained by matching the control mode correlation curve; Calculate the product of the production efficiency data and the production efficiency percentage data to be improved to obtain the improved production efficiency data; According to the improved production efficiency data, the improved parameter data is matched on the control mode correlation curve to obtain the improved parameter data, and the improved parameter data is determined as the target parameter data; and / or The cost data includes time cost data and economic cost data; the step of sorting the plurality of cost data and determining the sorting result as the analysis result includes: Calculating the absolute value of the time cost and the absolute value of the economic cost of each of the cost data according to the time cost data and the economic cost data of the cost data; Analyze the plurality of cost data according to the absolute value of the time cost and the absolute value of the economic cost to obtain the absolute value of the cost; The absolute values ​​of the costs are sorted, and the sorting result is determined as the analysis result.

7. The method for producing electrolytic copper according to claim 6, wherein: The step of calculating the absolute value of the time cost and the absolute value of the economic cost of each of the cost data according to the time cost data and the economic cost data of the cost data comprises: Taking the time cost data and the economic cost data of any one of the cost data as reference time cost data and reference economic cost data; The time cost absolute value and the economic cost absolute value of each of the cost data are calculated based on the reference time cost data and the reference economic cost data.

8. The method for producing electrolytic copper according to claim 6, wherein: The step of analyzing the plurality of cost data according to the absolute value of the time cost and the absolute value of the economic cost to obtain the absolute value of the cost includes: Obtaining data on the proportion of manufacturing to be done, the proportion of remaining time, and the proportion of remaining economy; Obtaining time weight data and economic weight data according to the to-be-manufactured proportion data, the remaining time proportion data and the remaining economic proportion data; According to the time weight data and the economic weight data, the absolute value of the time cost and the absolute value of the economic cost in each of the cost data are weighted and calculated to obtain the absolute value of the cost.

9. The method for producing electrolytic copper according to claim 8, characterized in that: According to the analysis result, controlling the electrolytic copper manufacturing equipment to perform a control operation includes: According to the analysis result, one piece of control method information with the lowest absolute cost is selected from the plurality of control method information, and is determined as the effective control method information; According to the effective control mode information, the electrolytic copper manufacturing equipment is determined and controlled to perform the control operation.

10. An electrolytic copper manufacturing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

Images