Electrolytic copper anode slime refining management and control method and equipment

Abstract

The application is suitable for the technical field of metal smelting, and particularly relates to an electrolytic copper anode slime refining management and control method and equipment. The method comprises the following steps: obtaining refining instruction information of anode slime in a refining workshop; performing regional determination on the anode slime before refining based on the refining instruction information to obtain a refining region; performing safety condition determination on the anode slime before refining based on the refining instruction information and the refining region to obtain regional safety information; performing refining condition determination on the anode slime before refining based on the refining instruction information, the refining region and the regional safety information to obtain refining requirement information; and controlling a refining management and control device to perform refining management and control on the anode slime according to the refining region, the regional safety information and the refining requirement information. The electrolytic copper anode slime refining management and control method provided by the application improves the safety of an operation region, improves the accuracy of refining parameters, and reduces the harm to technical personnel and the influence on other objects during work.

Description

Technical Field

[0001] This application belongs to the field of metal smelting technology, and in particular relates to a method and equipment for controlling the refining of electrolytic copper anode mud. Background Technology

[0002] Electrolytic copper anode mud is a byproduct generated during the electrolytic copper production process. In the electrolytic refining of copper, crude copper is used as the anode, pure copper as the cathode, and an aqueous solution of copper sulfate and sulfuric acid is used as the electrolyte. When direct current is applied, the copper and other metals on the anode dissolve into the electrolyte, while precious metals and certain valuable metals such as gold, silver, platinum group metals, selenium, and tellurium do not dissolve but are deposited at the bottom of the electrolytic cell to form a mud-like substance, which is anode mud.

[0003] In related technologies, when refining electrolytic copper anode mud, since most of the refining is done by technicians, the safety of the operating area is low and the refining parameters are inaccurate. Therefore, it can not only cause harm to technicians, but also affect the refining equipment and other objects in the refining workshop, posing a safety risk. Summary of the Invention

[0004] This application provides a method and equipment for controlling the refining of electrolytic copper anode mud, which can solve the problem of high safety risks caused by manual operation during refining, poor accuracy of refining parameters, and low safety of the operating area.

[0005] In a first aspect, embodiments of this application provide a method for controlling the refining of electrolytic copper anode slime, including:

[0006] Obtain refining instruction information for anode mud in the refining workshop; wherein, the refining instruction information is information indicating that refining work needs to be carried out on the anode mud in the refining workshop.

[0007] Based on the refining instruction information, the anode mud is determined before refining to obtain the refining area; wherein, the refining area is the working area in the refining workshop where the anode mud is refined.

[0008] Based on the refining instruction information and the refining area, a safety assessment is performed on the anode mud before refining to obtain area safety information; wherein, the area safety information is used to reflect the safety status of the technical personnel present in the refining workshop;

[0009] Based on the refining instruction information, the refining area, and the area safety information, the refining status is determined before refining the anode mud to obtain refining requirement information; wherein, the refining requirement information is used to indicate the refining parameter values ​​used on the refining equipment during refining.

[0010] The refining control device is controlled to perform refining control on the anode mud based on the refining area, the area safety information, and the refining demand information.

[0011] The electrolytic copper anode mud refining control method provided in this application obtains refining instruction information for anode mud in the refining workshop, which can reduce production accidents caused by improper operation or information transmission errors in the anode mud handling process. Based on the refining instruction information, the method determines the refining area before refining, which helps reduce the movement distance of technicians during the refining process. A reasonable area layout can keep hazardous processes away from sensitive equipment and densely populated areas, reducing the risk of accidents. Based on the refining instruction information and the refining area, the method determines the safety situation before refining the anode mud, obtaining area safety information. This ensures that all technicians have the necessary protective measures before entering the refining area, which not only helps prevent potential accidents but also reduces safety hazards. Based on the refining instruction information... Before refining anode mud, the refining area and its safety information are used to determine the refining status and obtain refining requirements. This allows technicians to adjust equipment parameters based on actual production conditions, achieving optimal refining results and improving the continuity and stability of the refining process. The refining control device manages the refining of anode mud based on the refining area, safety information, and refining requirements. Precise control of this device ensures the entire refining process better meets production goals and quality standards, improving refining efficiency and output quality. This, in turn, enhances the safety of the operating area, improves the accuracy of refining parameters, reduces injuries to technicians, and minimizes the impact of control equipment on refining equipment and other objects in the refining workshop, thus reducing safety hazards.

[0012] Secondly, embodiments of this application provide an electrolytic copper anode mud refining control system, comprising:

[0013] The acquisition unit is used to acquire refining instruction information of anode mud in the refining workshop; wherein, the refining instruction information is information that the anode mud in the refining workshop needs to be refined.

[0014] The first determination unit is used to determine the area before refining the anode mud based on the refining instruction information to obtain the refining area; wherein, the refining area is the working area in the refining workshop where the anode mud is refined.

[0015] The second determination unit is used to determine the safety status of the anode mud before refining based on the refining instruction information and the refining area, and obtain area safety information; wherein, the area safety information is used to reflect the safety status of the technical personnel present in the refining workshop.

[0016] The third determination unit is used to determine the refining status before refining the anode mud based on the refining instruction information, the refining area, and the area safety information, and to obtain refining requirement information; wherein, the refining requirement information is used to indicate the refining parameter values ​​used on the refining equipment during refining.

[0017] The control unit is used to control the refining control device to perform refining control on the anode mud based on the refining area, the area safety information, and the refining demand information.

[0018] Thirdly, embodiments of this application provide an electrolytic copper anode mud refining and control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the method described in any of the first aspects above.

[0019] Fourthly, embodiments of this application provide a computer program product that, when running on an electrolytic copper anode mud refining and control device, causes the electrolytic copper anode mud refining and control device to execute the electrolytic copper anode mud refining and control method described in any one of the first aspects.

[0020] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic flowchart of a method for controlling the refining of electrolytic copper anode mud according to an embodiment of this application;

[0023] Figure 2 This is a schematic diagram of the implementation process of step S200 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0024] Figure 3 This is a schematic diagram of the implementation process of step S240 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0025] Figure 4 This is a schematic diagram of another implementation process of step S240 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0026] Figure 5This is a schematic diagram of the implementation process of step S300 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0027] Figure 6 This is a schematic diagram of the implementation process of step S400 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0028] Figure 7 This is a schematic diagram of the implementation process of step S500 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0029] Figure 8 This is a schematic diagram of another implementation process of step S500 in the electrolytic copper anode mud refining and control method provided in an embodiment of this application;

[0030] Figure 9 This is a schematic diagram of the structure of the electrolytic copper anode mud refining control system provided in the embodiments of this application;

[0031] Figure 10 This is a schematic diagram of the control device of the electrolytic copper anode mud refining and control equipment provided in the embodiments of this application. Detailed Implementation

[0032] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0033] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0034] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0035] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0036] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0037] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0038] Electrolytic copper anode mud is a byproduct generated during the electrolytic copper production process. In the electrolytic refining of copper, crude copper is used as the anode, pure copper as the cathode, and an aqueous solution of copper sulfate and sulfuric acid is used as the electrolyte. When direct current is applied, the copper and other metals on the anode dissolve into the electrolyte, while precious metals and certain valuable metals such as gold, silver, platinum group metals, selenium, and tellurium do not dissolve but are deposited at the bottom of the electrolytic cell to form a mud-like substance, which is anode mud.

[0039] In related technologies, the refining of electrolytic copper anode mud is often carried out by technicians, resulting in low safety in the operating area and inaccurate refining parameters. This poses a safety risk, potentially harming technicians and impacting refining equipment and other objects within the refining workshop. To address these issues, this application provides a method and equipment for controlling the refining of electrolytic copper anode mud.

[0040] In this method, obtaining refining instruction information for anode mud within the refining workshop can reduce production accidents caused by improper operation or information transmission errors in the anode mud processing. Determining the refining area based on the refining instruction information helps reduce the movement distance of technicians during the refining process. A reasonable area layout can keep hazardous processes away from sensitive equipment and densely populated areas, reducing the risk of accidents. Determining the safety situation before refining anode mud based on the refining instruction information and the refining area provides area safety information, ensuring all technicians have the necessary protective measures before entering the refining area. This not only helps prevent potential accidents but also reduces safety hazards. Based on the refining instruction information, the refining area, and the area... Domain safety information determines the refining status of anode mud before refining, obtaining refining requirement information. This allows technicians to adjust equipment parameters based on actual production conditions, achieving optimal refining results and improving the continuity and stability of the refining process. Based on the refining area, area safety information, and refining requirement information, the refining control device manages the refining of anode mud. Precise control of the refining control device ensures the entire refining process better meets production goals and quality standards, improving refining efficiency and output quality. This, in turn, enhances the safety of the operating area, improves the accuracy of refining parameters, reduces injuries to technicians during operation, and minimizes the impact of control equipment on refining equipment and other objects in the refining workshop, thus reducing safety hazards.

[0041] The electrolytic copper anode mud refining and control method provided in this application embodiment can be applied to electrolytic copper anode mud refining and control equipment. In this case, the electrolytic copper anode mud refining and control equipment is the executing subject of the electrolytic copper anode mud refining and control method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of electrolytic copper anode mud refining and control equipment.

[0042] For example, electrolytic copper anode mud refining and control equipment includes a refining and control device and a control device; the refining and control device and the control device are connected by communication; wherein, the refining and control device includes components such as an electrolytic cell, a filter, a dryer, and a smelting furnace; the electrolytic cell can separate copper and other metals in the anode mud through an electrolysis process, wherein copper ions are deposited on the cathode to form high-purity copper sheets; the filter can be used to separate solid residues and liquids after electrolysis, enabling the recycling of the electrolyte and improving the metal recovery rate; the dryer can be used to remove moisture from the filtered wet material, providing dry raw materials for the subsequent smelting process; the smelting furnace can be used to further heat and melt the dried material, removing impurities through chemical reactions, and finally obtaining high-purity copper and other metals. The control device can be a control platform on the refining and control device, a control console in the control room, or it can be a tablet computer, laptop computer, netbook, desktop computer, smart screen, computing device, computer, laptop computer, handheld computing device, etc., but is not limited to these.

[0043] To better understand the electrolytic copper anode mud refining and control method provided in the embodiments of this application, the specific implementation process of the electrolytic copper anode mud refining and control method provided in the embodiments of this application will be described by way of example below.

[0044] Figure 1 This paper presents a schematic flowchart of a method for refining and controlling electrolytic copper anode slime according to an embodiment of this application. The method includes:

[0045] S100, Obtain refining instruction information for anode mud in the refining workshop; wherein, the refining instruction information is the information that the anode mud in the refining workshop needs to be refined.

[0046] For example, refining instruction information for anode mud in a refining workshop can be obtained through an automated production management system. This system can be a code-compiled system capable of generating refining instruction information based on production plans, inventory levels, and equipment status, and can be updated in real time when these factors change. Alternatively, refining instructions can be manually entered by technicians at a control console. This method is suitable for small-scale refining workshops, allowing technicians to flexibly input refining instructions according to actual production needs. Furthermore, remote monitoring and instruction issuance can be achieved through IoT technology. By deploying sensors and communication devices within the refining workshop, the status of the anode mud can be monitored in real time, and the data can be transmitted to a remote server. The server can generate refining instruction information based on preset algorithms and rules and send it to control equipment within the workshop via a wireless network.

[0047] S200, based on the refining instruction information, performs area determination before refining anode mud to obtain the refining area; wherein, the refining area is the working area in the refining workshop where anode mud is refined.

[0048] It is understandable that area determination involves identifying the workable areas within the refining workshop. Based on the refining instruction information, area determination before refining the anode mud yields the working areas within the refining workshop where the anode mud is refined. Different areas within the refining workshop can be evaluated and selected based on parameters specified in the instruction information; these parameters may include temperature, humidity, and chemical composition. The determination of refining areas can be achieved by analyzing the refining instruction information. For example, threshold parameters for refining area determination can be set, including temperature, humidity, and chemical composition. Real-time and historical data (which can be extracted from a previous database, which can be a collection and storage of data from each iteration) are used to evaluate various areas within the refining workshop and select those that meet the requirements.

[0049] In one possible implementation, please refer to Figure 2 S200, based on refining instruction information, performs region determination on the anode mud before refining to obtain the refining region, including:

[0050] S210, Based on the refining instruction information, obtain the refining information of the anode mud; wherein, the refining information is used to indicate the component characteristics contained in the anode mud that currently needs to be refined.

[0051] For example, by parsing the received refining instruction information, the specific requirements of the refining process can be determined. The various components of the anode mud can be retrieved from the information indicating that refining work is currently required in the refining workshop. By comparing the parameter requirements in the refining instruction information, the components and characteristics (refractory properties, corrosion resistance, etc.) of the anode mud to be refined can be determined. For instance, if the instruction requires increasing the gold recovery rate, the components can be identified through the chemical reaction conditions, such as temperature, pressure, and reaction time. Simultaneously, other metallic components that may be present in the anode mud during the refining process, such as silver, copper, and lead, can also be determined based on the chemical reaction conditions. Furthermore, the information can be obtained by using a component detector to analyze the anode mud, or by experimentally determining the characteristics of the components contained in the anode mud.

[0052] S220, determine refining plan information based on refining information and refining demand information; wherein, the refining plan information is used to indicate the refining work plan generated based on the refining parameter values ​​indicated by the refining demand information and the component characteristics indicated by the refining information.

[0053] For example, a refining work plan is generated by integrating refining information and refining demand information, and by matching the refining parameter values ​​identified from the refining demand information with the component characteristics identified from the refining information. The refining parameter values ​​identified from the refining demand information may include the range of refining parameter values, accuracy requirements, and specific types and proportions of component characteristics. The component characteristics identified from the refining information may be the anode mud itself, and the demand may be a comprehensive combination of refining steps, quality control, and the requirements to be achieved by the final product.

[0054] S230, Based on the refining plan information, the refining workshop is divided into X refining sub-regions; wherein, the refining sub-region is one of the components of the refining workshop.

[0055] It is understandable that dividing the refining workshop into X refining sub-regions can mean dividing the refining workshop as a whole into multiple regions, which together constitute the refining workshop. The number of refining sub-regions can be 2, 3, 5, 7, 10, or 15, etc., but is not limited to these. For example, the refining workshop can be divided into X refining sub-regions based on refining plan information. The segmentation method can be to collect and analyze various parameter requirements in the refining plan information, such as temperature, pressure, and chemical composition, and then compare these parameter requirements with the actual conditions of the refining workshop to determine the refining sub-regions that meet the requirements. For example, a machine learning-based clustering algorithm can be used, which can divide the refining workshop into several refining sub-regions based on the parameter requirements in the refining plan information, each sub-region having different refining conditions and parameter requirements.

[0056] S240, perform region determination on X refining sub-regions to obtain the refining region.

[0057] For example, each of the X refining sub-regions is selected and compared one by one. The region with the highest matching degree among the X refining sub-regions is selected to obtain the refining region. The one-by-one selection and comparison can be based on comparing key indicators of different refining sub-regions under normal operating conditions, such as temperature, pressure, and chemical composition. By comparing these data, the region with the most suitable key indicator among the X refining sub-regions can be determined. Alternatively, the region can be compared based on factors such as size, accessibility (easier access to other material locations or faster accessibility for technical personnel), or safety. Through the above region determination method, the sub-region that best meets the requirements can be determined.

[0058] In summary, dividing the refining workshop into multiple refining sub-regions can improve the flexibility and efficiency of the refining process. For example, some sub-regions may require higher temperatures or longer refining times to process specific components, while other regions may require different conditions. This division allows for customized processing to meet the refining needs of different components, thereby improving the overall refining quality. By dividing the workshop into multiple sub-regions, each region can adjust its operating parameters according to actual needs, achieving optimal allocation of energy and resources. Furthermore, dividing the workshop into refining sub-regions can improve safety. When processing anode mud containing different chemical components, some reactions may be highly dangerous. By confining these high-risk refining processes to specific sub-regions, potential hazards can be effectively isolated, reducing the impact on other operations throughout the workshop and lowering the risk of accidents. This division also helps improve production traceability, allowing for independent recording of operating parameters and outputs. This makes quality control of the final product easier. If a problem occurs in a specific batch of products, it can be quickly traced back to the corresponding refining sub-region, enabling rapid problem identification and corrective action.

[0059] In one possible implementation, please refer to Figure 3 S240, perform region determination on X refining sub-regions to obtain the refining region, including:

[0060] S241, Obtain obstacle information of the refining workshop; wherein, obstacle information includes perimeter information and influence information, perimeter information is used to indicate the coordinates of the walls of the refining workshop, and influence information is used to indicate the coordinates of all machines and equipment in the refining workshop.

[0061] For example, a laser scanner can be used to scan the entire refining workshop, generating a 3D spatial model. Analyzing this model allows for the precise identification of the coordinates of walls and machinery. A network of sensors pre-installed within the workshop can also be used to collect obstacle information. These sensors can be infrared sensors, ultrasonic sensors, or visual cameras, capable of monitoring dynamic changes within the workshop in real time and transmitting the data to a central processing system. Data processing yields real-time obstacle location information. Alternatively, manual input can be used. During the workshop design phase, designers create detailed layout diagrams, including the specific locations of walls and machinery. This information can be digitized and input into the system as part of the obstacle information.

[0062] S242, Establish a refining workshop location simulation platform; wherein, the refining workshop location simulation platform is a virtual platform that can virtually place and view the location of all machines and equipment in the refining workshop.

[0063] It is understandable that the virtual placement can be transformed into virtual icons for all the machines and equipment in the refining workshop, and the positions occupied by all the machines and equipment can be transformed into coordinate points. For example, the refining workshop can be generated or replaced on a mobile phone or computer through code into an operable interface with coordinate points (i.e., the positions of all the machines and equipment). The icons (all the machines and equipment) are located on the operable interface, and the icons can be slid to adjust the coordinates. This allows the positions of all the machines and equipment to be redistributed or the positions of other machines and equipment to allocate the necessary space to the equipment that needs to work.

[0064] For example, by collecting 3D model data and positions of all machinery and equipment—data that can be obtained with laser scanning technology to achieve 3D model accuracy—these 3D models can be imported into the simulation platform's software. Through graphics processing capabilities, the 3D scene can be processed and displayed. Within the simulation platform, users can operate using an interactive interface, such as dragging, rotating, and zooming, to view the layout of the machinery and equipment from different angles and positions. Furthermore, collision detection functionality can identify potential spatial conflicts when virtually placing machinery and equipment, allowing technicians to make various layout adjustments and optimizations without entering the actual workshop, improving work efficiency and reducing potential safety risks.

[0065] S243, based on the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information, perform overlap matching with X refining sub-regions, and determine the refining sub-regions whose positions do not overlap with the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information as refining regions.

[0066] It is understandable that a spatial analysis algorithm is used to compare the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information with X refining sub-regions. The refining sub-regions whose positions do not coincide with the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information are identified as refining regions. The spatial analysis algorithm can be a programmed algorithm that detects whether the position of each refining sub-region coincides with the wall coordinates and machine and equipment coordinates. If the position of a refining sub-region does not coincide with any of the wall and machine and equipment coordinates, then that region is identified as a refining region. For example, the dimensions of the refining workshop and the positions of the machines and equipment are obtained through 3D scanning technology. These models are processed using graphics processing software to extract the coordinate data of the walls and machines and equipment. This coordinate data is then compared with the coordinates of the refining sub-regions, and the refining sub-region with the least overlap is identified, thus determining the refining region.

[0067] In one possible implementation, please refer to Figure 4 S240, the method further includes:

[0068] S241A, the overlap degree of the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information is matched with X refining sub-regions. If all refining sub-regions in the X refining sub-regions overlap with the wall coordinates indicated by the peripheral information and / or the coordinates of all machines and equipment indicated by the obstacle information, then X overlap degree information is obtained. The overlap degree information is used to indicate the degree of overlap between each refining sub-region and the wall coordinates indicated by the peripheral information and / or the degree of overlap between each refining sub-region and the coordinates of all machines and equipment indicated by the obstacle information.

[0069] For example, the overlap degree is calculated between the wall coordinates indicated by the peripheral information and the machine coordinates indicated by the obstacle information, and X refining sub-regions. The calculation determines whether the position of each refining sub-region overlaps with the wall coordinates and machine coordinates. The overlap value is then calculated based on the overlap degree to obtain X overlap values. The overlap value can be determined by the size of the overlapping area. For example, taking one refining sub-region as an example, if the refining sub-region completely overlaps with both the wall coordinates and machine coordinates, or if the refining sub-region contains both wall coordinates and machine coordinates, then the overlap value is 1, indicating complete overlap. If only half of the refining sub-region overlaps with the wall coordinates and machine coordinates, or if the refining sub-region contains either wall coordinates or machine coordinates, then the overlap value is 0.5, indicating partial overlap. If no area of ​​the refining sub-region overlaps with either the wall coordinates and machine coordinates, or if the refining sub-region does not contain either wall coordinates or machine coordinates, then the overlap value is 0, indicating no overlap.

[0070] S242A, based on the wall coordinates indicated by the peripheral information, the obstacle information indicated by the obstacle information, and the X overlap information, feature refining sub-regions are obtained from the X refining sub-regions; wherein, the feature refining sub-region refers to the region with low feature overlap values.

[0071] For example, potential feature-refining sub-regions can be identified by employing Voronoi diagrams or Delaunay triangulation. Voronoi diagrams or Delaunay triangulation can identify regions with low overlap, which can then be used for feature fusion; feature fusion can involve fusing feature data from different devices. Feature fusion can be achieved through various methods, such as weighted averaging, principal component analysis (PCA), or machine learning algorithms. These methods can extract information from multiple data sources, thereby obtaining feature-refining sub-regions.

[0072] S243A, based on the refining workshop location simulation platform, adjusts and controls the characteristic refining sub-regions to obtain the refining area.

[0073] It is understood that adjustment and control can involve adjusting or controlling the coordinates of machinery and equipment within the refining workshop through a refining workshop location simulation platform. This control can include removing or relocating some machinery and equipment, but is not limited to these methods. For example, adjustment and control can be implemented for a characteristic refining sub-region, virtually adjusting the sub-region and repositioning the machinery and equipment. Furthermore, during the adjustment process, a genetic algorithm can be used to optimize the position and size of the refining sub-region. A genetic algorithm is a heuristic search algorithm that finds the optimal solution by simulating the principles of natural selection and genetics.

[0074] S300, based on refining instruction information and refining area, determines the safety status of anode mud before refining to obtain area safety information; among which, area safety information is used to reflect the safety status of technical personnel in the refining workshop.

[0075] For example, based on refining instruction information and refining areas, various potential risks that may be encountered during the refining process of anode mud are identified. These potential risks include, but are not limited to, information such as temperature, pressure, and the type and intensity of chemical reactions. By dividing the refining area, the safety situation is determined to obtain regional safety information. Dividing the refining area can be done by dividing the entire workshop into several safety assessment units. Each unit is assessed according to its specific functions and operating conditions to determine its safety level. The safety level may be different for reaction areas, storage areas, and processing areas, which may require different safety measures.

[0076] In one possible implementation, please refer to Figure 5 S300, based on refining instruction information and the refining area, performs a safety assessment of the anode mud before refining to obtain area safety information, including:

[0077] S310, based on refining instruction information, obtain first security information within the refining area; wherein, the first security information is used to reflect the presence of technical personnel within the refining area.

[0078] For example, acquiring primary safety information within the refining area based on refining instruction information can be achieved using a sensor network installed within the refining area. This network can monitor the activities of technicians in real time. These sensors include, but are not limited to, infrared sensors, pressure sensors, and motion detectors, which can detect the presence of personnel and record their activity trajectories. Artificial intelligence algorithms can also be used to analyze the collected sensor data. Through machine learning models, normal work patterns and potential safety risks can be identified to determine the presence of technicians within the refining area. For instance, if the system detects personnel activity in an area outside of working hours, it will automatically mark it as an anomaly and trigger a safety alarm. Alternatively, all this information and data can be integrated using a real-time monitoring system, displaying the safety status of the refining area through a graphical interface. This allows managers to clearly understand the current safety situation and respond quickly as needed. This approach effectively acquires primary safety information within the refining area, ensuring the safety of technicians. It not only improves the accuracy of safety information but also significantly enhances the safety and controllability of the entire refining process.

[0079] In one possible implementation, the method also includes:

[0080] S310A, if there are no technical personnel in the refining area indicated by the first security information, then the area security information is generated directly.

[0081] For example, a sensor network installed within the refining area monitors the activities of technicians in real time. These sensors include, but are not limited to, infrared sensors, pressure sensors, and motion detectors. The presence of personnel is detected, and their movement trajectories are recorded to determine whether a technician is present within the refining area. Alternatively, artificial intelligence algorithms can be used to analyze the collected sensor data. Through machine learning models, normal work patterns and potential safety risks can be identified to determine the presence of a technician within the refining area. If no technician is detected within the refining area indicated by the first safety information, then the refining area indicated by the first safety information is considered the area's safety information. Furthermore, when no technician is detected within the refining area, a preset procedure is triggered to generate area safety information. This generated area safety information includes all necessary safety warnings and preventative measures to ensure the safety of personnel in the area.

[0082] S320, if there are technical personnel in the refining area indicated by the first safety information, then a safety standard information is obtained by performing a safety analysis on the component characteristics indicated by the refining information; wherein, the safety standard information is used to indicate protective equipment that can protect technical personnel from being affected by harmful components in the component characteristics.

[0083] It is understandable that safety analysis involves analyzing the compositional characteristics and components indicated by the refining information, identifying hazardous substances, and selecting protective equipment (PEE) capable of resisting these hazardous components. For example, if a technician is present in the refining area indicated by the first safety information, the technician will detect hazardous components based on the compositional characteristics indicated by the refining information and select PEE capable of resisting or being unaffected by the hazardous components. Detection can be performed using a component detector to detect hazardous components in the compositional characteristics, or through laboratory experiments to identify the hazardous components. PEE selection can be based on the strength of the hazardous components and the detection results of the compositional characteristics, choosing appropriate PEE accordingly.

[0084] S330 involves disassembling and marking the work protective equipment indicated by safety standard information to obtain Y equipment identification points and Z equipment connection points; among them, the equipment identification points are cuffs, collars, and pockets, and the equipment connection points are the connection points between the front placket, sleeves, and the body of the garment.

[0085] It's understandable that equipment disassembly markings can refer to dividing equipment into different parts based on different requirements; identification points can be understood as distinctive parts of clothing, such as collars, cuffs, and pockets, which are visually easily identifiable and have fixed positions during dressing, but are not limited to these. Equipment connection points can refer to parts of clothing that need to be connected by buttons, zippers, or other means, such as the connection between the front placket, sleeves, and the body of the garment, but are not limited to these.

[0086] For example, dividing the equipment can be done by taking pictures of the protective equipment with a high-resolution camera to obtain detailed image data of the equipment, and then using image processing software to analyze these images to identify the various parts of the equipment, such as the marking points of cuffs, collars and pockets, as well as the connection points of the front, sleeves and body. Alternatively, a 3D scanner can be used to obtain a 3D model of the protective equipment, and then the equipment can be divided and marked in 3D space to obtain the marking points and connection points in the 2D image. The data obtained from the identification and modeling can be integrated into the platform, and the division and marking results of each piece of equipment can be viewed intuitively through this platform.

[0087] S340, the second safety information is obtained based on Y equipment identification points and Z equipment connection points; wherein, the second safety information is used to reflect the wearing status of work protective equipment by technicians in the refining area.

[0088] For example, the wearing status of protective equipment (PE) by technicians within the refining area can be assessed by identifying Y equipment identification points, typically located on key parts of the PE such as helmets, goggles, cuffs, collars, and pockets. The software determines the relative positions and connections between these components using Z equipment connection points. Using the 3D coordinate data of these points, the software can reconstruct a complete image of the technician wearing the PE. By comparing the wearing status, secondary safety information can be obtained. This comparison can detect improper wearing, such as whether the helmet is worn correctly, whether the goggles are securely fastened, and whether the equipment identification points and connection points are located on a specific part of the technician's body. Furthermore, analyzing the technician's movements and the relative position of the equipment can help determine if potential safety risks exist in actual work. It is important to note that during refining control, the hazardous components vary depending on the refining process, and therefore the protective equipment required by technicians also differs. For example, the requirements for protective equipment vary depending on the hazardous components. Some may require protection for one or more specific parts of the body, while other parts may not. Therefore, it is necessary to select protective equipment that can better resist the hazardous components based on the actual situation of the hazardous components.

[0089] S350, based on Y equipment identification points and Z equipment connection points, verifies and detects the wearing status of the protective equipment of the technicians in the refining area indicated by the second safety information. If A equipment identification points and B equipment connection points are detected on the technicians, the area safety information is obtained; where A equals Y and B equals Z.

[0090] For example, the wearing status of protective equipment (PE) of technicians within the refined area indicated by the second safety information is checked. If A equipment identification points and B equipment connection points are detected on the technicians, the area safety information can be obtained. The methods for checking the wearing status of PE can include: confirming the correct position of all clothing identification points (e.g., collar in front of the neck, cuffs near the wrists, etc.); checking whether clothing connection points are correctly connected (e.g., buttons on the front are fastened, zippers are zipped to the top, etc.); and checking the symmetry and overall coordination of the clothing (e.g., sleeve lengths are consistent, clothing is smooth and wrinkle-free, etc., etc.). Alternatively, the detection can be performed by comparing images with a database of image samples; the image sample database can be a database containing a large number of image samples of protective equipment identification points and connection points. The detection method can be that when A equipment identification points and B equipment connection points are detected, it can be determined whether they meet safety standards according to preset rules. If A equals Y and B equals Z, it indicates that the technicians are wearing complete and correct protective equipment, generating area safety information. Conversely, if the number of detected markers or connection points is insufficient, it suggests a potential safety risk.

[0091] Additionally, the detection of marking points can also be done by, for example, installing a pulse measuring device at the cuff to determine whether the sleeve is worn correctly by observing the normal pulse beat; or by installing an angle measuring instrument at the neckline (the use of the angle measuring instrument should be based on certain preconditions, such as the arm being horizontal and perpendicular to the ground) to measure whether the angle between the neckline and the cuff is within the normal range; the detection of connection points can also be done by checking whether the zipper is at the same position as the neckline (depending on the type of clothing, some may have a distance between the zipper and the neckline); and the position of the shoes and the trouser hem.

[0092] This setup enables rapid and accurate detection of the protective equipment worn by technicians, providing strong data support for safety management. It not only improves the efficiency of safety management but also greatly reduces errors and safety hazards caused by human inspection.

[0093] S400 determines the refining status before refining anode mud based on refining instruction information, refining area and area safety information, and obtains refining demand information; wherein, the refining demand information is used to indicate the refining parameter values ​​used on the refining equipment during refining.

[0094] It is understandable that refining instruction information can be provided by the production planning department, including work information such as anode mud refining. Refining area information involves the layout and location of refining equipment and the operating status of related equipment. Area safety information indicates whether there are technical personnel in the refining workshop. Based on the refining instruction information, refining area, and area safety information, the target parameters for refining are determined according to the refining instruction information, such as temperature, pressure, and time. Then, combined with the refining area information, the existing equipment is assessed to determine whether it meets these parameter requirements and whether adjustments or optimizations are needed. Finally, the area safety information is considered to ensure that the refining process complies with safety standards, avoids potential safety risks, and ultimately determines the refining requirements.

[0095] In one possible implementation, please refer to Figure 6 S400, based on refining instruction information, refining area and area safety information, determines the refining status before refining anode mud to obtain refining requirement information, including:

[0096] S410, under the condition that the area safety information within the refining area meets the safety requirements, the equipment parameter information of the refining equipment is obtained based on the refining instruction information; wherein, the equipment parameter information is used to indicate the refining parameter values ​​inside the refining equipment when refining anode mud.

[0097] For example, before obtaining the equipment parameter information of the refining equipment, a prerequisite must be met: the area safety information within the refining area must be safe. Upon receiving the refining instruction information, the equipment parameter information of the refining equipment can be obtained. This can be achieved by calling equipment configuration files stored in a database. These configuration files contain standard operating parameters provided by the equipment manufacturer, as well as optimal operating parameters optimized from historical operating data. Alternatively, the parameter values ​​most suitable for the current refining task can be selected or calculated based on the refining instruction information and current production requirements.

[0098] Obtaining equipment parameter information can be achieved by extracting parameter information (including individual parameters and historical data) from the parameter system of the refining equipment (which can record the current refining parameter values) through a control device. Additionally, equipment parameter information for the refining equipment may also include, but is not limited to, reactor temperature, stirring speed, and material flow rate.

[0099] S420, based on refining information, determines all elements and element content in the anode mud and determines multiple target parameter information; among them, the target parameter information is used to indicate the standard parameter values ​​generated based on the content of each component.

[0100] For example, based on refining information, all elements and their contents in the anode mud are determined, and parameters are generated to obtain multiple target parameter information. Parameter generation can be achieved by using X-ray fluorescence spectroscopy (XRF) to perform non-destructive testing on the anode mud sample, thereby quickly and accurately identifying all elements and their contents. XRF technology uses X-rays to excite atoms in the sample, causing them to emit fluorescence at specific wavelengths. By analyzing these fluorescence spectra, the types and contents of each element can be obtained. Standard parameter values ​​are then simulated and adjusted based on the obtained element types and contents. This simulation of element types and contents generates the standard parameter values ​​indicating the target parameter information.

[0101] S430: Based on multiple target parameter information, value judgment and similarity analysis are performed on the equipment parameter information to obtain one of the target parameter information from the multiple target parameter information.

[0102] It is understandable that by comparing multiple target parameter information with equipment parameter information, determining their value, and determining their similarity, one of the multiple target parameter information can be obtained. Here, one of the multiple target parameter information refers to a target parameter with a higher value and a smaller difference in similarity. Determining the value can be done by judging the standard parameter values ​​indicated by the multiple target parameter information; that is, whichever of the standard parameter values ​​indicated by the multiple target parameter information has the highest value, and whose similarity is higher than the refining parameter value inside the refining equipment indicated by the equipment parameter information for the refined anode mud, then one of the multiple target parameter information can be obtained.

[0103] S440 combines and analyzes one of the target parameter information from multiple target parameter information with the equipment parameter information to obtain the refined requirement information.

[0104] For example, information combination analysis can employ association rule mining methods from data mining techniques. For instance, the Apriori algorithm can be used to discover frequent itemsets. After identifying frequent itemsets, the support and confidence of each itemset are calculated to evaluate its effectiveness. Alternatively, strong association rules can be filtered out by setting minimum support and minimum confidence thresholds. These rules reveal the potential relationship between target parameters and equipment parameters, helping to understand which parameter adjustments will significantly impact production performance under specific production conditions. For example, if it is found that "when the value of target parameter A is high, the value of equipment parameter B should also be increased accordingly," this can guide technicians to adjust parameters in actual production.

[0105] S500 controls the refining management device to manage the refining of anode mud based on refining area, area safety information, and refining demand information.

[0106] For example, controlling the refining management device to manage anode mud through refining zones, zone safety information, and refining demand information requires detailed division of the refining zones. The collection and analysis of zone safety information is achieved through sensors and monitoring equipment installed in each zone, enabling real-time monitoring of parameters such as temperature, pressure, and chemical concentration. Specifically, the refining management device can employ an automated control system, such as a programmable logic controller (PLC) or a distributed control system (DCS). These systems can determine the zone, safety status, and refining status based on refining command information, and adjust the operating parameters during the refining process accordingly to ensure the stability and continuity of the entire refining process.

[0107] In summary, this approach makes the entire refining process more aligned with production goals and quality standards, enhances the safety of the operating area, improves the refining efficiency and output quality of anode mud, increases the accuracy of refining parameters, reduces injuries to technicians during operation, minimizes the impact of control equipment on refining equipment and other objects in the refining workshop, and reduces safety hazards during the refining process.

[0108] In one possible implementation, please refer to Figure 7 S500, based on refining area, area safety information, and refining demand information, controls the refining control device to perform refining control of anode mud, including:

[0109] S510, based on the refining area and area safety information, risk identification is performed to obtain the first risk information; wherein, the first risk information is used to reflect the existence of external environmental risks before the refining anode mud.

[0110] It is understandable that risk identification can involve detecting and identifying the surrounding environment before refining operations.

[0111] Risk identification can involve collecting real-time data from the refining area, including parameters such as temperature, pressure, and chemical composition. Simultaneously, it integrates with a regional safety monitoring system to obtain real-time environmental safety information, such as hazardous gas concentrations and radiation levels; this regional safety monitoring system can be a monitoring room, etc. The collected data can be analyzed using time series analysis and pattern recognition. By comparing historical and real-time data, abnormal patterns and potential risks can be identified. For example, if a sudden increase in temperature is detected in a certain area, and the area's safety monitoring system simultaneously reports excessive hazardous gas concentrations, the system will combine this information to determine if there is a risk of fire or chemical leak.

[0112] S520, based on the existence of external environmental risks indicated by the first risk information and the refining demand information, a risk impact analysis is performed to obtain the second risk information; wherein, the second risk information is used to indicate the operational risk value caused by the external environmental risk situation to the refining operation.

[0113] It is understandable that risk impact analysis (RAA) assesses the operational risks posed by external environmental risks to refining operations. RAA can employ data fusion technology or utilize assessment methods to evaluate risks and then calculate operational risk values ​​based on the obtained risk information. For example, the second risk information will provide specific operational risk values ​​for refining operations, guiding technicians or automated systems to make corresponding adjustments. For instance, if the analysis shows that excessive concentrations of harmful gases will lead to a high operational risk in a certain stage of the refining process, it will be recommended to lower the temperature or increase ventilation in that stage to reduce the risk value and ensure the safety and stability of the refining process. Through this comprehensive risk assessment and response mechanism, refineries can effectively cope with various external environmental risks, ensuring the continuity and safety of the production process.

[0114] S530, if the refining operation risk value indicated by the second risk information is less than the operation risk threshold, it proves that the refining operation is not affected by the external environmental risk situation. Based on the refining area, area safety information and refining demand information, the refining control device is controlled to refining and control the anode mud.

[0115] For example, the refining operation risk value indicated by the second risk information can be compared with the operation risk threshold. If the refining operation risk value indicated by the second risk information is less than the operation risk threshold, the refining operation is not affected by external environmental risks. The anode mud can then be refined and controlled based on the refining area, area safety information, and refining demand information. The refining control can be achieved by using a sensor network installed in the refining area to collect parameters such as temperature, pressure, and harmful gas concentration in real time. The refining control device is then used to control the refining of the anode mud based on the refining area, area safety information, and refining demand information, allowing for detailed division of the refining area. The collection and analysis of area safety information is achieved through sensors and monitoring equipment installed in each area, and the refining control device then refines the anode mud.

[0116] This setup makes the entire refining process more aligned with production goals and quality standards, improves the refining efficiency and output quality of anode mud, enhances the accuracy of refining parameters, and reduces safety hazards during the refining process.

[0117] In one possible implementation, please refer to Figure 8 S500, the method also includes:

[0118] S530A, if the refining operation risk value indicated by the second risk information is greater than the operation risk threshold, it proves that the refining operation is affected by the external environmental risk situation, and the actual impact information is obtained; wherein, the actual impact information is used to indicate that one or more refining operation steps are affected by the external environmental risk.

[0119] It is understandable that the refining operation risk value can be an assessment of operational risks, followed by a risk score, resulting in the operational risk value. Operational risks can include, but are not limited to, weather conditions, equipment failure rates, and raw material supply stability. The operational risk threshold is a reference value set based on historical data and industry standards to determine whether refining operations are within an acceptable risk level.

[0120] For example, if the refining operation risk value indicated by the second risk information is greater than the operation risk threshold, this risk information is converted into a quantifiable risk value through a pre-set risk assessment model.

[0121] The obtained risk values ​​are compared with operational risk thresholds. If the refining operation risk value indicated by the second risk information exceeds this threshold, it can be determined that the refining operation is affected by external environmental risks. Furthermore, to obtain information on the actual impact, it is possible to further analyze which refining operation steps are affected; this can be achieved by comparing the correlation between risk values ​​and operation steps. For example, if the risk value for weather conditions is abnormally high, it may affect the transportation and storage of raw materials; if the risk value for equipment failure rate increases, it may affect critical operation steps in the refining process.

[0122] S530B optimizes refining demand information based on actual impact information, and then manages the refining of anode mud based on refining area, area safety information, and optimized refining demand information.

[0123] For example, refining demand information is adjusted based on actual impact information, and then combined with refining area, regional safety information, and optimized refining demand information to manage anode mud refining. Managing anode mud refining involves integrating various risk factors, such as weather conditions, equipment failure rates, and raw material supply stability, as well as the impact of these risk factors on refining operations. By collecting historical and real-time data, different risk factors can be weighted and adjusted according to the characteristics of the refining area and regional safety information. For instance, if a refining area is near the coast, the impact of extreme weather such as typhoons on refining operations needs to be considered. Simultaneously, regional safety information, such as the stability of the surrounding environment and safety regulations, is also considered. Furthermore, when optimizing refining demand information, plans for raw material procurement, storage, transportation, and processing can be adjusted based on risk assessment results. This can also include adjusting production plans, optimizing process flows, and strengthening equipment maintenance.

[0124] This setup reduces the risk of injury to technicians during operation and minimizes the impact of control equipment on refining equipment and other objects in the refining workshop, thereby reducing safety hazards and ensuring that the refining process of anode mud remains efficient and safe.

[0125] It should be understood that the sequence number of each step in the above embodiments does not imply 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 this application.

[0126] Corresponding to the electrolytic copper anode mud refining and control method described in the above embodiments, this application also provides an electrolytic copper anode mud refining and control system, wherein each unit of the system can realize each step of the electrolytic copper anode mud refining and control method. Figure 9 The diagram shows a structural block diagram of the electrolytic copper anode mud refining control system provided in an embodiment of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0127] Reference Figure 9 The electrolytic copper anode mud refining control system includes:

[0128] The acquisition unit is used to acquire refining instruction information of anode mud in the refining workshop; wherein, the refining instruction information is the information that the anode mud in the refining workshop needs to be refined.

[0129] The first determination unit is used to determine the area before refining the anode mud based on the refining instruction information, and obtain the refining area; wherein, the refining area is the working area in the refining workshop where the anode mud is refined.

[0130] The second determination unit is used to determine the safety status of the anode mud before refining based on the refining instruction information and the refining area, and to obtain the area safety information; wherein, the area safety information is used to reflect the safety status of the technical personnel in the refining workshop.

[0131] The third determination unit is used to determine the refining status before refining anode mud based on refining instruction information, refining area and area safety information, and to obtain refining demand information; wherein, the refining demand information is used to indicate the refining parameter values ​​used on the refining equipment during refining.

[0132] The control unit is used to control the refining control device to perform refining control on the anode mud based on the refining area, area safety information, and refining demand information.

[0133] It should be noted that the information interaction and execution process between the above systems / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0134] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0135] This application also provides an electrolytic copper anode mud refining and control device. Figure 10 This is a schematic diagram of the control device for an electrolytic copper anode mud refining and control equipment provided in an embodiment of this application. Figure 10 As shown, the control device 6 in this embodiment includes: at least one processor 60 ( Figure 10 Only one is shown in the image), at least one memory 61 ( Figure 10(Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, it causes the control device 6 to perform the steps in any of the above embodiments of the electrolytic copper anode mud refining and control method, or causes the control device 6 to perform the functions of each module / unit in the above embodiments of the system.

[0136] For example, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the control device 6.

[0137] The control device 6 can be a desktop computer, laptop, or other computing device. The control device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 10 This is merely an example of control device 6 and does not constitute a limitation on control device 6. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0138] The processor 60 can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0139] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may be an external storage device of the control device 6, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the control device 6. Furthermore, the memory 61 may include both internal storage units and external storage devices of the control device 6. The memory 61 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0140] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0141] This application provides a computer program product that, when run on an electrolytic copper anode mud refining and control device, enables the electrolytic copper anode mud refining and control device to perform the steps in any of the above-described method embodiments.

[0142] If the integrated unit is implemented as 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, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to the electrolytic copper anode mud refining and control equipment, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0143] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0144] Those skilled in the art will recognize that the units and algorithm steps of the various examples 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0145] In the embodiments provided in this application, it should be understood that the disclosed electrolytic copper anode mud refining control system, equipment, and method can be implemented in other ways. For example, the embodiments of the electrolytic copper anode mud refining control system and equipment described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0146] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0147] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for controlling the refining of electrolytic copper anode mud, characterized in that, include: Obtain refining instruction information for anode mud in the refining workshop; wherein, the refining instruction information is information indicating that refining work needs to be carried out on the anode mud in the refining workshop. Based on the refining instruction information, the anode mud is determined before refining to obtain the refining area; wherein, the refining area is the working area in the refining workshop where the anode mud is refined. Based on the refining instruction information and the refining area, a safety assessment is performed on the anode mud before refining to obtain area safety information; wherein, the area safety information is used to reflect the safety status of the technical personnel present in the refining workshop; Based on the refining instruction information, the refining area, and the area safety information, the refining status is determined before refining the anode mud to obtain refining requirement information; wherein, the refining requirement information is used to indicate the refining parameter values ​​used on the refining equipment during refining. The refining control device is controlled to refine and manage the anode mud based on the refining area, the area safety information, and the refining demand information. The step of determining the refining region based on the refining instruction information before refining the anode mud to obtain the refining region includes: Based on the refining instruction information, the refining information of the anode mud is obtained; wherein, the refining information is used to indicate the component characteristics contained in the anode mud that currently needs to be refined; Refining plan information is determined based on the refining information and the refining demand information; wherein, the refining plan information is used to indicate a refining work plan generated based on the refining parameter values ​​indicated by the refining demand information and the component characteristics indicated by the refining information; The refining workshop is divided into X refining sub-regions based on the refining plan information; wherein, each refining sub-region is a component of the refining workshop. The refining regions are obtained by performing region determination on the X refining sub-regions; The step of determining the refining region from the X refining sub-regions includes: Obtain obstacle information of the refining workshop; wherein, the obstacle information includes peripheral information and influence information, the peripheral information is used to indicate the coordinates of the walls of the refining workshop, and the influence information is used to indicate the coordinates of all machines and equipment in the refining workshop; Establish a refining workshop location simulation platform; wherein, the refining workshop location simulation platform is a virtual platform that can virtually place and view the location of all machines and equipment in the refining workshop; Based on the overlap degree matching between the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information and the X refining sub-regions, the refining sub-regions whose positions do not overlap with the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information are determined as the refining regions.

2. The method for refining and controlling electrolytic copper anode mud as described in claim 1, characterized in that, The method further includes: The overlap degree of each of the X refining sub-regions is matched with the wall coordinates indicated by the peripheral information and the coordinates of all machines and equipment indicated by the obstacle information. If all of the X refining sub-regions overlap with the wall coordinates indicated by the peripheral information and / or the coordinates of all machines and equipment indicated by the obstacle information, then X overlap degree information is obtained. The overlap degree information is used to indicate the degree of overlap between each refining sub-region and the wall coordinates indicated by the peripheral information and / or the degree of overlap between each refining sub-region and the coordinates of all machines and equipment indicated by the obstacle information. Based on the wall coordinates indicated by the peripheral information, the obstacle information, and the coordinates of all machines and equipment, and X overlap information, feature refining sub-regions are obtained from the X refining sub-regions; wherein, the feature refining sub-regions refer to regions with low feature overlap values; The refining area is obtained by adjusting and controlling the characteristic refining sub-region based on the refining workshop location simulation platform.

3. The method for refining and controlling electrolytic copper anode mud as described in claim 1, characterized in that, The step of determining the safety status of the anode mud before refining based on the refining instruction information and the refining area to obtain area safety information includes: Based on the refining instruction information, first security information is obtained within the refining area; wherein, the first security information is used to reflect the presence of technical personnel within the refining area; If a technician is present in the refining area indicated by the first safety information, a safety analysis is performed on the component characteristics indicated by the refining information to obtain safety standard information; wherein, the safety standard information is used to indicate protective equipment that can protect the technician from being affected by the harmful components in the component characteristics; The work protective equipment indicated by the safety standard information is disassembled and marked to obtain Y equipment identification points and Z equipment connection points; wherein, the equipment identification points are cuffs, collars, and pockets, and the equipment connection points are the connection points between the front placket, sleeves, and the body of the garment; The second safety information is obtained based on Y equipment identification points and Z equipment connection points; wherein, the second safety information is used to reflect the wearing status of the work protective equipment by the technicians in the refining area; Based on Y equipment identification points and Z equipment connection points, the wearing status of the protective equipment of the technicians in the refining area indicated by the second safety information is checked and detected. If A equipment identification points and B equipment connection points are detected on the technicians, the area safety information is obtained; where A equals Y and B equals Z.

4. The method for refining and controlling electrolytic copper anode mud as described in claim 3, characterized in that, The method further includes: If there are no technical personnel in the refining area indicated by the first security information, then the area security information is generated directly.

5. The method for refining and controlling electrolytic copper anode mud as described in claim 2, characterized in that, The step of determining the refining status before refining anode mud based on the refining instruction information, the refining area, and the area safety information to obtain refining requirement information includes: When the safety information of the area within the refining region meets the safety requirements, the equipment parameter information of the refining equipment is obtained based on the refining instruction information; wherein, the equipment parameter information is used to indicate the refining parameter values ​​inside the refining equipment when refining anode mud; Based on the refining information, all elements and their contents in the anode mud are determined, and multiple target parameter information is determined; wherein, the target parameter information is used to indicate standard parameter values ​​generated based on the content of each component; Based on the value determination and similarity analysis of multiple target parameter information with the equipment parameter information, one of the multiple target parameter information is obtained; By combining and analyzing one of the target parameter information and the equipment parameter information from multiple target parameter information, refined requirement information is obtained.

6. The method for refining and controlling electrolytic copper anode mud as described in claim 5, characterized in that, The step of controlling the refining management device to perform refining management on anode mud based on the refining area, the area safety information, and the refining demand information includes: Risk identification is performed based on the refining area and the area's safety information to obtain first risk information; wherein, the first risk information is used to reflect the existence of external environmental risks before refining the anode mud; Based on the existence of external environmental risks indicated by the first risk information and the refining demand information, a risk impact analysis is performed to obtain second risk information; wherein, the second risk information is used to indicate the operational risk value caused by the external environmental risks to the refining operation. If the refining operation risk value indicated by the second risk information is less than the operation risk threshold, it proves that the refining operation is not affected by the external environmental risk. Based on the refining area, the area safety information, and the refining demand information, the refining control device is controlled to refine and manage the anode mud.

7. The method for refining and controlling electrolytic copper anode mud as described in claim 6, characterized in that, The method further includes: If the refining operation risk value indicated by the second risk information is greater than the operation risk threshold, it proves that the refining operation is affected by the external environmental risk, and the actual impact information is obtained; wherein, the actual impact information is used to indicate that one or more refining operation steps are affected by the external environmental risk. The refining demand information is optimized based on actual impact information, and then the anode mud is refined and controlled according to the refining area, the area safety information, and the optimized refining demand information.

8. A refining and control device for electrolytic copper anode mud, 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, it implements the method as described in any one of claims 1 to 7.

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