Intelligent management and control system and method for unmanned production in electrolysis workshop

Abstract

The invention relates to the technical field of electrolysis production, in particular to an intelligent management and control system and method for unmanned production in an electrolysis workshop, and the system comprises an edge communication system which is used for communicating with at least one piece of production equipment in the electrolysis workshop; the data acquisition system is used for acquiring process data obtained from the material states of the cathode and anode plates on the cell surface and the material transfer data and the equipment operation state of at least one production equipment based on the edge communication system; the batch data management system is used for constructing a production database according to the process data and the equipment operation state, and analyzing to obtain a data processing result; and the operation scheduling system is used for generating an intelligent operation scheduling instruction of one or more pieces of production equipment according to the intelligently created production scheme and the production database. Therefore, the problems that the running state and technological parameters of equipment cannot be monitored in real time, the equipment cannot be dispatched in time, a decision instruction cannot be issued quickly and the like, the unmanned production level of an electrolysis workshop is low, and the intelligent degree is poor are solved.

Description

Technical Field

[0001] The present application relates to the field of electrolytic production technology, and in particular to an intelligent management and control system and method for unmanned production in an electrolytic workshop. Background Art

[0002] With the development of electrolysis technology, especially the actual demand for intelligent electrolysis, the cathode copper production market is highly competitive. How to coordinate the management and control of electrolysis workshops and give full play to the advantages of big data analysis in the workshops has become the key to achieving efficient, safe and low-cost production in the workshops.

[0003] In the relevant technology, the degree of automation of the equipment in the electrolysis workshop is relatively high, but when processing the production process data and process data, it still mainly relies on manual viewing or writing. In addition, the key processes of equipment scheduling and operation such as slot opening and loading slots are still mainly manual scheduling operations, and manual tracking is also required during production according to the entire production process.

[0004] However, in the related technology, the production situation of the electrolytic production line is complicated. If the weight of a single anode and cathode plate of the electrolytic cell, the loading time, etc. are required, the manual operation method cannot monitor the process parameters in real time, and cannot timely dispatch the equipment, quickly issue decision-making instructions, etc., resulting in low production efficiency and certain production safety hazards. The unmanned production level of the electrolytic workshop is low and the degree of intelligence is poor, which urgently needs to be improved. Summary of the invention

[0005] The present application provides an intelligent management and control system and method for unmanned production in an electrolytic workshop, in order to solve the problems in the related technology that the manual operation method cannot monitor the equipment operation status and various process parameters in real time, and cannot timely dispatch various equipment, quickly issue decision instructions, etc., resulting in low production efficiency, certain production safety hazards, low level of unmanned production in electrolytic workshops, and poor intelligence.

[0006] The first aspect of the present application provides an intelligent management and control system for unmanned production in an electrolysis workshop, including: an edge communication system, which communicates with at least one production equipment in the electrolysis workshop; a data acquisition system, which is used to obtain process data obtained from the material status of the positive and negative plates on the slot surface and the material transfer data, and the equipment operation status of at least one production equipment based on the edge communication system, wherein the process data may include at least one of the following: workstation monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data; a batch data management system, which is used to construct a production database based on the process data and the equipment operation status, and analyze and process the data to obtain the analysis and processing results; and an operation scheduling system, which is used to generate intelligent operation scheduling instructions for one or more production equipment based on the intelligently created production plan and the production database.

[0007] Optionally, in one embodiment of the present application, the cell surface monitoring data may include the status and process parameters of each electrolytic cell and each electrode plate slot in the corresponding electrolytic cell.

[0008] Optionally, in one embodiment of the present application, the operation scheduling system may include: a planning and scheduling module, which is used to generate a job schedule based on the slotting short-circuiting operation, the slotting bipolar slotting operation, the slotting short-circuiting plate straightening operation, the cathode slotting operation, the anode and cathode bipolar slotting operation, the short-circuit inspection operation and the quality sampling operation; a job scheduling module, which is used to generate a job scheduling instruction according to the scheduling instruction obtained from the job schedule; a process monitoring module, which is used to monitor the at least one production equipment in real time according to the process data and the equipment operation status to obtain monitoring data; a statistical analysis ... The output, quality, consumption, alarm and operation of the electrolytic copper production process are statistically calculated according to the job plan schedule, the job scheduling instructions and the monitoring data of the production database to generate reports; a model management module is used to uniformly manage the main basic information of the electrolytic production management process; a workbench management module is used to generate overview charts of plan execution, job scheduling, process monitoring and statistical analysis, and to generate interactive information of to-do tasks and shortcuts; a system management module is used to provide at least one basic management function and generate system logs, operation logs and / or operation and maintenance logs to trace operation and maintenance data.

[0009] Optionally, in one embodiment of the present application, the statistical analysis module is also used to analyze the production statistics, operation efficiency analysis and year-on-year data comparison of the electrolysis workshop based on the report.

[0010] Optionally, in one embodiment of the present application, the workbench management module is also used to design a visual cockpit that provides a large monitoring screen according to actual site needs.

[0011] Optionally, in one embodiment of the present application, the data acquisition system is composed of a redundant SCADA (Supervisory Control and Data Acquisition) server to communicate with at least one production equipment control system of the electrolysis workshop.

[0012] Optionally, in one embodiment of the present application, the data acquisition system is also used to synchronously process the process data.

[0013] Optionally, in one embodiment of the present application, the data acquisition system may include: a communication driver module, used to drive the data acquisition system to communicate with the edge communication system; a data configuration module, used to obtain the process data from the material status of the positive and negative plates on the slot surface and the material transfer data; a data synchronization module, used to control the main server and the backup server to synchronize data; a data dump module, used to store the process data and the equipment operation status to generate a historical database.

[0014] Optionally, in one embodiment of the present application, the batch data management system may include: a workstation monitoring data module, which is used to monitor the workstation monitoring data of each material box in the workshop; a slot surface monitoring data module, which is used to monitor the slot surface monitoring data, record the electrolytic cell operation status, operation status, operation batch, the slot installation date of each cathode plate, the slot installation date of each anode plate, the cathode electrolysis time, the anode electrolysis time, and at least one of the anode quantity, cathode plate quantity, short circuit alarm quantity, short circuit hidden danger quantity and cathode quality inspection qualified quantity; an anode data recording module, which is used to record the anode residual pole data of the plate data, and obtain the data of the complete process of anode assembly packaging station-material preparation station-crane hoist-loading platform anode station-electrolytic cell anode plate-loading platform anode station-crane hoist-residual pole conveying station; a cathode data recording module, which is used to record the cathode data of the plate data, and obtain the data of the material preparation station-crane hoist-loading platform anode station-electrolytic cell anode plate-loading platform anode station-crane hoist-residual pole conveying station; - data of the complete process of crane hoist-cathode station of loading platform-cathode plate of electrolytic cell-cathode station of loading platform-crane hoist-copper conveying station-waste storage station; short-circuit alarm data module, used to monitor the short-circuit alarm data, record the number of the electrolytic cell currently inspected, the number of the electrolytic cell plate, the alarm status, the alarm time and the cathode plan number of the current alarm electrolytic cell; equipment monitoring data module, used to monitor equipment monitoring data, record the status and operating parameters of the anode unit PLC, crane hoist PLC and loading platform PLC; unit monitoring data module, used to monitor unit monitoring data; crane monitoring data module, used to monitor crane monitoring data; platform monitoring data module, used to monitor the station monitoring data; quality inspection data module, used to monitor the quality inspection data, record at least one of the inspection plan number, cathode plate number, electrolysis days, inspection results, inspection records and inspection time.

[0015] The second aspect of the present application provides an intelligent control method for unmanned production in an electrolysis workshop, comprising the following steps: obtaining process data obtained from the material status of the anode and cathode plates on the tank surface and the material transfer data and the equipment operation status of at least one production equipment; constructing a production database based on the process data and the equipment operation status, and analyzing and processing the data to obtain analysis and processing results; and generating intelligent operation scheduling instructions for one or more production equipment based on the intelligently created production plan and the production database.

[0016] Optionally, in one embodiment of the present application, the process data may include at least one of station monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data.

[0017] Optionally, in one embodiment of the present application, the cell surface monitoring data may include the status and process parameters of each electrolytic cell and each electrode plate slot in the corresponding electrolytic cell.

[0018] Optionally, in one embodiment of the present application, the intelligent operation scheduling instructions for one or more production equipment are generated based on the intelligently created production plan and the production database, including: generating a job plan schedule based on slotting short-circuit operations, slotting bipolar slot loading operations, slotting short-circuit plate straightening operations, cathode slot loading operations, anode and cathode bipolar slot loading operations, short-circuit inspection operations and quality sampling operations; generating a job scheduling instruction based on the scheduling instruction obtained from the job plan schedule; real-time monitoring of at least one production equipment is performed according to the process data and the equipment operation status to obtain monitoring data; statistics are generated according to the job plan schedule, the job scheduling instructions, and the monitoring data of the production database. The output, quality, consumption, alarm and operation of the electrolytic copper production process are generated to generate a report; the main basic information of the electrolytic production management process is uniformly managed; an overview chart of plan execution, job scheduling, process monitoring, and statistical analysis is generated, and interactive information of to-do tasks and shortcuts is generated; at least one basic management function is provided, and system logs, operation logs and / or operation and maintenance logs are generated to trace operation and maintenance data.

[0019] Optionally, in one embodiment of the present application, after generating the report, it also includes: analyzing the production statistics, operation efficiency analysis and year-on-year data comparison of the electrolysis workshop according to the report.

[0020] Optionally, in an embodiment of the present application, after generating the interactive information of the to-do tasks and shortcuts, it also includes: designing a visual cockpit providing a large monitoring screen according to actual site needs.

[0021] Optionally, in one embodiment of the present application, obtaining process data obtained from the material status of the anode and cathode plates on the slot surface and the material transfer data and the equipment operation status of at least one production equipment also includes: performing data synchronization processing on the process data.

[0022] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent management and control method for unmanned production in an electrolysis workshop as described in the above embodiment.

[0023] The fourth aspect embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned intelligent management and control method for unmanned production in an electrolysis workshop.

[0024] The embodiment of the present application can use the edge communication system to achieve network security isolation and communication protocol parsing and conversion, and obtain the process data and equipment operation status of the production equipment in real time, realize the real-time monitoring, collection, storage, analysis, scheduling, etc. of the production process data of the electrolysis workshop, build a production database based on the process data and equipment operation status, realize the digital production and scheduling of the unmanned production line of the electrolysis workshop, and present it intuitively in the form of graphs, tables, etc., improve the intelligent level of unmanned production in the electrolysis workshop, and play a role in assisting decision-making under complex working conditions during the electrolysis process, and significantly improve the production efficiency of electrolysis. Thus, the problems in the related technology that the manual operation method cannot monitor the equipment operation status and various process parameters in real time, and cannot timely schedule various equipment, quickly issue decision instructions, etc., have low production efficiency, have certain production safety hazards, and the unmanned production level of the electrolysis workshop is low and the degree of intelligence is poor.

[0025] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A block diagram of an intelligent management and control system for unmanned production in an electrolysis workshop provided according to an embodiment of the present application;

[0028] Figure 2 A block diagram of the functional architecture of an intelligent management and control system for unmanned production in an electrolysis workshop provided according to an embodiment of the present application;

[0029] Figure 3 A block diagram of the main interface of the intelligent management and control system for unmanned production in an electrolysis workshop provided according to an embodiment of the present application;

[0030] Figure 4 A flow chart of an intelligent control method for unmanned production in an electrolysis workshop provided according to an embodiment of the present application;

[0031] Figure 5 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application.

[0032] Among them, 10-intelligent management and control system for unmanned production in electrolysis workshop; 100-edge communication system, 200-data acquisition system, 300-batch data management system, 400-operation scheduling system; 20-process monitoring system, 21-production equipment, 22-process data visualization, 101-grid isolation module, 201-communication driver module, 202-data configuration module, 203-data synchronization module, 204-data dump module, 301-station monitoring data module, 302-slot surface monitoring data module, 303-anode number Data recording module, 304-cathode data recording module, 305-short circuit alarm data module, 306-equipment monitoring data module, 307-unit monitoring data module, 308-driving monitoring data module, 309-platform monitoring data module, 310-quality inspection data module, 401-planning and scheduling module, 402-job scheduling module, 403-process monitoring module, 404-equipment monitoring module, 405-statistical analysis module, 406-model management module, 407-workbench management module and 408-system management module. DETAILED DESCRIPTION

[0033] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0034] The following describes the intelligent control system and method for unmanned production in the electrolysis workshop of the embodiment of the present application with reference to the accompanying drawings. In view of the fact that the manual operation method mentioned in the above background technology cannot monitor the equipment operation status and various process parameters in real time, and cannot timely dispatch various equipment, quickly issue decision instructions, etc., the production efficiency is low, there are certain production safety hazards, the unmanned production level of the electrolysis workshop is low, and the degree of intelligence is poor, the present application provides an intelligent control system for unmanned production in the electrolysis workshop, in which the edge communication system can be used to realize network security isolation and communication protocol parsing and conversion, and the process data and equipment operation status of the production equipment can be obtained in real time, and the real-time monitoring, collection, storage, analysis, and scheduling of the production process data of the electrolysis workshop can be realized. A production database is constructed based on the process data and the equipment operation status, and the digital production and scheduling of the unmanned production line of the electrolysis workshop can be realized, and it can be intuitively presented in the form of graphs, tables, etc., to improve the intelligence level of unmanned production in the electrolysis workshop, and it can play an auxiliary decision-making role under complex working conditions during the electrolysis process, and significantly improve the production efficiency of electrolysis. This solves the problems in related technologies, such as the inability of manual operation to monitor the equipment's operating status and various process parameters in real time, and the inability to schedule the equipment in a timely manner and quickly issue decision-making instructions, resulting in low production efficiency, certain production safety hazards, and low unmanned production levels and poor intelligence in electrolysis workshops.

[0035] Specifically, Figure 1 This is a block diagram of an intelligent management and control system for unmanned production in an electrolysis workshop provided according to an embodiment of the present application.

[0036] like Figure 1 As shown, the intelligent management and control system 10 for unmanned production in the electrolysis workshop includes: an edge communication system 100, a data acquisition system 200, a batch data management system 300 and an operation scheduling system 400.

[0037] Specifically, Figure 2 As shown, the integrated edge communication system (IECS) 100 can communicate with at least one production equipment 21 of the electrolysis workshop.

[0038] It is understandable that the electrolysis workshop may be, but is not limited to, a copper electrolysis workshop, a nickel electrolysis workshop, a lead electrolysis workshop, or a zinc electrolysis workshop, and this application does not impose any specific restrictions. In addition, the electrolysis workshop may include a process monitoring system 20 in addition to the intelligent management and control 10. The edge communication system 100 mainly utilizes the network isolation module 101 to achieve network communication and security isolation.

[0039] Among them, the process monitoring system 20 may include production equipment 21 and process data visualization 22. This application does not make specific restrictions. The production equipment 21 may include equipment PLC (Programmable Logic Controller), detection system, electrolysis system DCS (Distributed Control System), etc.

[0040] Furthermore, the equipment PLC may include but is not limited to the anode unit PLC, crane hoist PLC, loading platform PLC, etc., which are not specifically limited in this application; the detection system may include a surface quality detection system, a short circuit alarm system, etc., which are not specifically limited in this application, to achieve real-time detection of electrolytic cell and plate data.

[0041] As a possible implementation method, the embodiment of the present application can use the edge communication system 100 to achieve secure communication with the production equipment 21, and use the network isolation module 101 to complete the data exchange and the secure isolation of the network.

[0042] The embodiment of the present application can utilize the edge communication system 100 and the network isolation module 101 to achieve network security isolation and communication protocol analysis and conversion, and realize secure communication between the intelligent management and control system 10 and the production equipment 21 for unmanned production in the electrolysis workshop.

[0043] like Figure 2 As shown, the data acquisition system 200 can be used to obtain process data obtained from the material status of the positive and negative plates on the slot surface and the material transfer data and the equipment operation status of at least one production equipment 21 based on the edge communication system 100, wherein the process data may include at least one of the workstation monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data.

[0044] It can be understood that the equipment operating status of the production equipment 21 can be but is not limited to the equipment operating status of the anode unit PLC, the equipment operating status of the crane hoist PLC, the equipment operating status of the loading platform PLC, etc., and this application does not make specific restrictions.

[0045] Furthermore, in the embodiment of the present application, there are a total of 438 equipment operating states involving the anode unit PLC, which may be but not limited to the anode preparation area, residual anode conveyor line, copper copper conveyor line related workstation status, operating status, number of plates, plate weight and other operating states; there are a total of 42 equipment operating states involving the crane hoist PLC, which may be but not limited to the crane position, crane material box, cathode material box workstation, crane scheduling instructions, crane operation feedback and other operating states; there are a total of 125 equipment operating states involving the loading platform PLC, which may be but not limited to the platform position, platform workstation status, platform material box data, platform scheduling instructions, platform operation feedback and other operating states.

[0046] In addition, in the embodiments of the present application, the process data may be, but is not limited to, workstation monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data, and equipment monitoring data, and the present application does not impose any specific limitations.

[0047] Among them, the workstation monitoring data can be derived from the status, operation status, material box plate type, material box plate quantity, material box plate weight, etc. of 35 workstations in the anode unit PLC, crane hoist PLC, and loading platform PLC, such as real-time data of 18 workstations such as the anode unit, real-time data of 3 workstations of the residual pole conveyor line, real-time data of 3 workstations of the electric copper conveyor line, real-time data of 2 workstations in the cathode preparation area, real-time data of 8 workstations on the loading platform, and real-time data of 1 material box workstation of the crane hoist, etc. This application does not make specific restrictions.

[0048] Furthermore, in an embodiment of the present application, the data acquisition system 200 can collect these variables into the production database through the S7 protocol, and then use the batch data management system 300 to implement millisecond-level reading of these data through the API data interface, and synchronize them in real time to the real-time data table of the workstation.

[0049] The tank surface monitoring data can be derived from the workstation monitoring data and the data updates issued by the job scheduling instructions, mainly including the status and process parameters of the 232 electrolytic cells and each plate slot in the electrolytic cells. It is responsible for recording the electrolytic cell operation status, operation status, operation batch, the date of installation of each cathode plate, the date of installation of each anode plate, cathode electrolysis time, anode electrolysis time, as well as the number of anodes, the number of cathode plates, the number of short-circuit alarms, the number of short-circuit hidden dangers, the number of cathode quality inspection passes and other electrolytic cell summary data.

[0050] The plate data can be divided into anode data and cathode data, wherein the anode data includes the data of the complete process of anode assembly packaging station-material preparation station-crane hoist-loading platform anode station-electrolyzer anode plate-loading platform anode station-crane hoist-stub anode conveying station; the cathode data includes the data of the complete process of material preparation station-crane hoist-loading platform cathode station-electrolyzer cathode plate-loading platform cathode station-crane hoist-electric copper conveying station-waste anode storage station. That is, the plate data can be, but not limited to, the plate number, plate type, plate weight, tank loading time, tank unloading time, and plate status, which are not specifically limited in this application.

[0051] The short-circuit alarm data can be derived from the short-circuit inspection system, which is installed in the crane PLC. The intelligent management and control system 10 for unmanned production in the electrolysis workshop can communicate with the crane PLC through the API interface, and according to the short-circuit inspection plan, regularly conduct short-circuit inspections on the cathode plate slots on the slot surface. When an alarm or short-circuit hidden danger is found, a new alarm is automatically added. The embodiment of the present application can record the number of the electrolytic cell currently inspected, the electrolytic cell plate number, the alarm status (alarm or alarm hidden danger), the alarm time and the cathode plan number of the current alarm electrolytic cell, and this application does not make specific restrictions. Short-circuit alarm data can be used for real-time monitoring of the slot surface, and can also be used for scheduling the operation of cathode plate loading slots.

[0052] The quality inspection data can be derived from the cathode surface quality monitoring system, which is installed in the PLC of the delivery platform. The quality inspection system can perform surface quality inspection on the cathode plate of the electrolytic cell according to the quality inspection plan and the scheduling instructions, and synchronize the quality inspection records to the batch data management system 300 through the API interface for statistics and analysis of the instruction inspection data. The quality inspection data can be, but is not limited to: inspection plan number, cathode plate number, electrolysis days, inspection results, inspection records, inspection time, and this application does not make specific restrictions.

[0053] The dispatch monitoring data can be understood as the intelligent control system 10 of unmanned production in the electrolysis workshop issues operation commands to the crane PLC and the loading platform PLC through dispatch instructions, and the PLC system provides real-time feedback on the execution of the dispatch instructions. That is, the dispatch monitoring data can include the dispatch instructions and their feedback data, providing a data source for the update, dispatch monitoring and execution of process data and station status.

[0054] The equipment monitoring data may be the status and operating parameters of production equipment 21 such as the anode unit PLC, the crane PLC, and the loading platform PLC. That is, in the embodiment of the present application, the data acquisition system 200 may be used to monitor the PLC system in real time, and the batch data management system 300 may be used to update the status and operation of key equipment of the anode unit PLC, the crane PLC, the loading platform PLC, and the electrolysis system DCS in real time through data transfer, API interface, etc., to provide data support for equipment scheduling and monitoring.

[0055] As a possible implementation method, the embodiment of the present application can use the data acquisition system 200 to obtain the process data and equipment operating status of the production equipment 21 in real time based on the edge communication system 100, and complete the collection, monitoring and communication of the process data and equipment operating status in real time, and effectively use the process data and equipment operating status to guide the unmanned production decision-making of the electrolysis workshop, thereby improving the information sharing rate in the intelligent management and control system 10 for unmanned production of the electrolysis workshop.

[0056] Optionally, in one embodiment of the present application, the tank surface monitoring data may include the status and process parameters of each electrolytic tank and each electrode plate slot in the corresponding electrolytic tank.

[0057] In the actual implementation process, the tank surface monitoring data obtained by the embodiment of the present application may include the status and process parameters of each electrolytic cell and each electrode plate slot in the corresponding electrolytic cell.

[0058] Optionally, in one embodiment of the present application, Figure 2 As shown, the data acquisition system 200 may include: a communication driver module 201 , a data configuration module 202 , a data synchronization module 203 and a data dump module 204 .

[0059] Among them, the communication driving module 201 is used to drive the data acquisition system 200 to communicate with the edge communication 100.

[0060] The data configuration module 202 obtains process data from the material status of the anode and cathode plates on the tank surface and the material transfer data.

[0061] The data synchronization module 203 is used to control the primary server and the backup server to perform data synchronization.

[0062] The data dump module 204 is used to store process data and equipment operation status and generate a historical database.

[0063] That is to say, in the embodiment of the present application, the data acquisition system 200 may include: a communication driver module 201 , a data configuration module 202 , a data synchronization module 203 and a data dump module 204 .

[0064] Among them, the communication driving module 201 can drive the data acquisition system 200 to communicate with the edge communication system 100.

[0065] The data configuration module 202 can obtain process data from the material status of the anode and cathode plates on the tank surface and the material transportation data.

[0066] The data synchronization module 203 can control the primary server and the backup server to perform data synchronization.

[0067] The data dump module 204 can store process data and equipment operation status to generate a historical database.

[0068] Optionally, in one embodiment of the present application, Figure 2 As shown, the data acquisition system 200 may be composed of a redundant SCADA server to communicate with the control system of at least one production device 21 in the electrolysis workshop.

[0069] It can be understood that SCADA refers to a computer-based production process control and scheduling automation system that can realize functions such as communication drive, data configuration, data synchronization, data dump and API (Application Programming Interface) communication.

[0070] In the actual implementation process, the embodiment of the present application can use the redundant device SCADA server to communicate with the device PLC and the electrolysis system DCS to realize the collection, monitoring and communication of process data.

[0071] For example, in the embodiment of the present application, the data acquisition system 200 can be composed of a redundant device SCADA server and developed using the eForceCon V5.0 monitoring software. Furthermore, the data acquisition system 200 uses the Simens S7 (Simens S7 Communication, Siemens S7 protocol) communication protocol and the OPC DA (Open Platform Communication Data Access, open platform communication data access protocol) communication protocol to achieve data communication between the device PLC and the electrolysis system DCS, and to achieve the collection, monitoring and communication of process data.

[0072] Optionally, in one embodiment of the present application, the data acquisition system 200 is also used to perform data synchronization processing on the process data.

[0073] As a possible implementation method, the data acquisition system 200 in the embodiment of the present application uses a dual-machine redundant host system with redundant switching and backup server data synchronization functions, that is, when one server fails, the other can synchronize and back up process data.

[0074] The batch data management system (DMS) 300 can be used to construct a production database according to process data and equipment operation status, and analyze and process the data to obtain analysis and processing results.

[0075] It is understandable that the production database can be but is not limited to platform monitoring data, tank surface monitoring data, anode data records, cathode data records, short circuit alarm data, quality inspection data, unit monitoring data, driving monitoring data, scheduling monitoring data and equipment monitoring data, etc., and this application does not impose specific restrictions.

[0076] In some embodiments, the batch data management system 300 can communicate with the data acquisition system 200 using an API interface, wherein the API interface can be developed through the SDK toolkit for related interface development to achieve real-time collection, calculation and storage of various process data generated during the operation scheduling process, such as workstation monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data, etc., thereby providing a basic data source for the operation scheduling system 400's planning and scheduling, job scheduling, process monitoring, etc.

[0077] The embodiment of the present application can realize secure communication between the batch data management system 300 and the data acquisition system 200 based on the API interface, and realize real-time acquisition, calculation and storage of various process data generated during the operation scheduling process, and realize real-time reading, writing and management of large amounts of data.

[0078] Optionally, in one embodiment of the present application, Figure 2 As shown, the batch data management system 300 may include: a workstation monitoring data module 301, a slot surface monitoring data module 302, an anode data recording module 303, a cathode data recording module 304, a short circuit alarm data module 305, an equipment monitoring data module 306, a unit monitoring data module 307, a driving monitoring data module 308, a platform monitoring data module 309 and a quality inspection data module 310.

[0079] Among them, the workstation monitoring data module 301 is used to monitor the workstation monitoring data of each material box in the workshop.

[0080] The tank surface monitoring data module 302 is used to monitor the tank surface monitoring data, record the electrolytic cell operation status, operation status, operation batch, the tank installation date of each cathode plate, the tank installation date of each anode plate, the cathode electrolysis time, the anode electrolysis time, and at least one of the anode number, cathode plate number, short circuit alarm number, short circuit hidden danger number and cathode quality inspection qualified number.

[0081] Anode data recording module 303 is used to record the anode residual data of the plate data, and obtain the data of the complete process of anode assembly packaging station-material preparation station-crane hoist-anode station of the loading platform-electrolytic cell anode plate-anode station of the loading platform-crane hoist-stub conveying station.

[0082] The cathode data recording module 304 is used to record the cathode data of the plate data, and obtain the data of the complete process of material preparation station-crane hoist-loading platform cathode station-electrolytic cell cathode plate-loading platform cathode station-crane hoist-electric copper conveying station-waste electrode storage station.

[0083] The short circuit alarm data module 305 is used to monitor the short circuit alarm data, record the number of the electrolytic cell currently being inspected, the electrolytic cell plate number, the alarm state, the alarm time and the cathode plan number of the current alarm electrolytic cell.

[0084] The equipment monitoring data module 306 is used to monitor the equipment monitoring data and record the status and operating parameters of the anode unit PLC, the crane PLC, and the loading platform PLC.

[0085] The unit monitoring data module 307 is used to monitor the unit monitoring data.

[0086] The vehicle driving monitoring data module 308 is used to monitor the vehicle driving monitoring data.

[0087] The platform monitoring data module 309 is used to monitor the workstation monitoring data.

[0088] The quality inspection data module 310 is used to monitor the quality inspection data and record at least one of the inspection plan number, cathode plate number, electrolysis days, inspection results, inspection records and inspection time.

[0089] It can be understood that, in the embodiment of the present application, the batch data management system 300 may include: a workstation monitoring data module 301, a slot surface monitoring data module 302, an anode data recording module 303, a cathode data recording module 304, a short circuit alarm data module 305, an equipment monitoring data module 306, a unit monitoring data module 307, a driving monitoring data module 308, a platform monitoring data module 309 and a quality inspection data module 310.

[0090] Among them, the workstation monitoring data module 301 can be used to monitor the workstation monitoring data of each material box in the workshop.

[0091] The slot surface monitoring data module 302 can be used to monitor the data of the cathode and anode materials on the slot surface, including the weight of each anode plate in the electrolytic cell, the slot loading time, the slot discharge time (calculated according to the residual pole rate formula), the slot discharge countdown time, and the current weight of the anode plate (calculated according to the electrolysis time); including the slot loading time and the slot discharge time of each cathode plate in the electrolytic cell (the first cathode cycle slot discharge time is calculated according to the formula, and the second cathode cycle is discharged according to the anode slot calculation time), the slot discharge countdown time, and the current weight of the cathode copper (calculated according to the electrolysis time); including the material status in the electrolytic cell, whether there are cathodes and anodes, and electrolysis cycles; including short-circuited and short-circuit-risk electrolytic cell cathode plates; including the weight and position of short-circuited anode plates in the electrolytic cell during the slot opening stage. The control system automatically calculates the slot discharge time of the anode plate and the cathode plate according to the weight of the anode and anode plates in each electrolytic cell in the electrolytic workshop, the slot loading time of the anode and anode plates, and the related monitoring parameters and alarm information. The operation scheduling system 400 intelligently creates a production plan based on this slot discharge time, and automatically completes the planning and scheduling, and the operation scheduling function.

[0092] The anode data recording module 303 can be used to record the anode residual data of the plate data, and obtain the data of the complete process of anode assembly packaging station-material preparation station-crane hoist-anode station of the loading platform-electrolytic cell anode plate-anode station of the loading platform-crane hoist-stub conveying station.

[0093] The cathode data recording module 304 can be used to record the cathode data of the plate data, and obtain the data of the complete process of material preparation station-crane hoist-loading platform cathode station-electrolytic cell cathode plate-loading platform cathode station-crane hoist-electric copper conveying station-waste electrode storage station.

[0094] The short circuit alarm data module 305 can be used to monitor the short circuit alarm data, record the number of the electrolytic cell currently being inspected, the electrolytic cell plate number, the alarm state, the alarm time and the cathode plan number of the current alarm electrolytic cell.

[0095] The equipment monitoring data module 306 can be used to monitor equipment monitoring data and record the status and operating parameters of the anode unit PLC, the crane PLC, and the loading platform PLC.

[0096] The unit monitoring data module 307 can be used to monitor the unit monitoring data.

[0097] The vehicle driving monitoring data module 308 can be used to monitor the vehicle driving monitoring data.

[0098] The platform monitoring data module 309 can be used to monitor the workstation monitoring data.

[0099] The quality inspection data module 310 can be used to monitor quality inspection data and record at least one of the inspection plan number, cathode plate number, electrolysis days, inspection results, inspection records and inspection time.

[0100] like Figure 2 As shown, an operation support system (OSS) 400 can be used to generate intelligent operation scheduling instructions for one or more production equipment 21 based on an intelligently created production plan and a production database.

[0101] It can be understood that in the embodiment of the present application, the weight of the anode and cathode plates in each electrolytic cell in the electrolytic workshop, the time for the anode and cathode plates to enter the cell, and related monitoring parameters and quality inspection data obtained by the cell surface monitoring data module 302 of the batch data management system 300 can be used to automatically calculate the time for the anode plates and cathode plates to be removed from the cell, calculate which electrolytic cells and which plates need to be removed from the cell on that day, create a production plan, automatically complete the plan scheduling, and create a scheduling instruction for the cell loading platform based on the plan scheduling.

[0102] Furthermore, the embodiment of the present application can create multiple crane operation scheduling instructions in real time during the production process based on the status of each material box, the number and weight of anodes and cathodes in the material box, and other parameters as well as the operating status of the equipment in the workstation monitoring data module 301 of the batch data management system 300, and find the crane scheduling instruction with the highest production efficiency of the equipment in the entire electrolysis workshop from all the sorting instructions based on specific algorithms such as simulated annealing, and give priority to its execution.

[0103] As a possible implementation method, the embodiment of the present application can intelligently create a production plan based on the batch data management system 300, and further use the operation scheduling system 400 to form intelligent operation scheduling instructions for the production equipment 21 according to the generated production database and the intelligently created production plan, read and write the production process database, and centrally monitor the electrolysis production process, batch data management and operation scheduling operations, providing users with full-process management functions from plan creation-task scheduling-job scheduling-process monitoring-statistical analysis and auxiliary decision-making, realizing digital production and scheduling of unmanned production lines in electrolysis workshops, and realizing closed-loop monitoring and management of plans and operations.

[0104] Optionally, in one embodiment of the present application, the operation scheduling system 400 may include: a planning and scheduling module 401, a job scheduling module 402, a process monitoring module 403, an equipment monitoring module 404, a statistical analysis module 405, a model management module 406, a workbench management module 407 and a system management module 408.

[0105] Among them, the planning and scheduling module 401 is used to generate the operation plan schedule based on the slotting short-circuit operation, the slotting bipolar slot loading operation, the slotting short-circuit plate straightening operation, the cathode slot loading operation, the anode and cathode bipolar slot loading operation, the short-circuit inspection operation and the quality sampling operation.

[0106] The job scheduling module 402 is used to generate job scheduling instructions according to the scheduling instructions obtained from the job plan scheduling.

[0107] The process monitoring module 403 is used to monitor at least one production equipment 21 in real time according to the process data and the equipment operation status to obtain monitoring data.

[0108] The statistical analysis module 405 is used to generate reports based on the production database operation plan scheduling, operation scheduling instructions, and monitoring data to calculate the output, quality, consumption, alarms, and operations of the electrolytic copper production process. The statistical analysis module 405 is also used to analyze the production statistics, operation efficiency analysis, and year-on-year data comparison of the electrolytic workshop based on the reports.

[0109] The model management module 406 is used to uniformly manage the main basic information of the electrolysis production management process.

[0110] The workbench management module 407 is used to generate overview charts of plan execution, job scheduling, process monitoring, and statistical analysis, and to generate interactive information of to-do tasks and shortcuts. The workbench management module 407 is also used to design a visual cockpit that provides a large monitoring screen according to actual site needs.

[0111] The system management module 408 is used to provide at least one basic management function and generate system logs, operation logs and / or operation and maintenance logs to trace operation and maintenance data.

[0112] In other embodiments, the operation scheduling system 400 may include a planning and scheduling module 401, a job scheduling module 402, a process monitoring module 403, an equipment monitoring module 404, a statistical analysis module 405, a model management module 406, a workbench management module 407, and a system management module 408, which are not specifically limited in this application. Among them, the planning and scheduling module 401, the job scheduling module 402, and the process monitoring module 403 are the core modules of the embodiments of this application.

[0113] Among them, the planning and scheduling module 401 can be, but is not limited to, functions such as planning management, task scheduling, task execution monitoring, planning execution monitoring, and historical planning. The embodiment of the present application can realize the management, monitoring, and historical query of operation plans and tasks such as slotting short circuit, slotting bipolar slot loading, cathode slot loading, bipolar slot loading, bipolar slot loading, short circuit inspection, and quality sampling through the planning and scheduling function, which is convenient for management personnel and operators to quickly create and obtain operation plans and task information.

[0114] The operation scheduling module 402 may be, but is not limited to, the operation scheduling of the loading platform, the operation scheduling of the crane hoist, the scheduling instruction management, the scheduling execution monitoring and other functions. The embodiment of the present application may schedule and monitor specific production operations according to the scheduling instructions generated by the planning and scheduling module 401, and may also implement the operation scheduling of the platform and the crane through the operation scheduling module 402. After the planning and scheduling, the embodiment of the present application may automatically generate the platform operation instructions according to the plan type and save them in the instruction table, or may perform the operation scheduling by manually operating the platform scheduling function page.

[0115] The process monitoring module 403 may be, but is not limited to, the process monitoring functions of the anode unit, the crane hoist, the loading platform, and the electrolytic cell surface. The present application may monitor the production process data and the operation status in real time, realize the visual monitoring and management of the production operation process, and issue an alarm or early warning when the production process data is abnormal, wherein the production process data includes the real-time data of the DCS of the electrolysis system and the cathode and anode materials and material transfer data on the electrolytic cell surface. The monitoring content of the anode unit process may be, but is not limited to: the operation and fault status of the anode unit, the status of the electric copper conveyor line, the status of the residual pole conveyor line, the status of the cathode storage area, the status of the packing and material preparation station, and the detailed information of each material box; the monitoring content of the crane hoist process may be, but is not limited to: the execution tasks of the crane, the dispatching instructions, the dispatching feedback, the crane coordinate information, the operation and fault status of the crane hoist, the status of the residual pole conveyor line material box station, the status of the electric copper conveyor line material box station, the status of the cathode ground storage area material box station, the crane material box Details and other information; the monitoring content of the loading platform process can be but not limited to: the real-time position of the platform, dispatching instructions, dispatching feedback instructions, platform equipment status, platform material box details and other information; the monitoring content of the electrolytic cell surface process can be but not limited to: the power-on operation data of the electrolytic cell, scheduling plan status, job execution status, anode loading date, anode unloading countdown, cathode loading date, cathode unloading countdown and other information, automatically counting and displaying the number of short-circuited plates in the electrolytic cell, the number of hidden danger plates, etc., as well as detailed information such as the weight of each plate in the electrolytic cell.

[0116] The equipment monitoring module 404 may be, but is not limited to, conventional functions such as equipment monitoring, status monitoring, alarm monitoring, and trend monitoring. That is, the operation scheduling system 400 may collect the equipment operation status and parameters in real time through the data acquisition system 200, and realize real-time monitoring of the equipment operation status and operation parameters of the anode unit, the crane hoist, the loading platform, and the electrolysis system DCS control. It can be further understood that the equipment monitoring module 404 may intuitively present the real-time data of equipment operation parameters, equipment operation status, equipment failure and alarm information, etc. in the form of flow charts, tables, graphics, etc., so as to facilitate manual preventive maintenance and ensure the stable operation of the production equipment 21.

[0117] The statistical analysis module 405 can aggregate, count and analyze the data of the data acquisition system 200 and the operation scheduling system 400. Based on data management, job planning and scheduling, job scheduling and process monitoring data, it can count the output, quality, consumption, alarm, operation and other data of the electrolytic copper production process and automatically generate reports. It uses charts and other forms to analyze product yield, operation efficiency, year-on-year and month-on-month changes, etc., to provide automated data statistical reports and auxiliary analysis and decision-making functions for the production of electrolytic workshops.

[0118] The model management module 406 can be understood as a module that can uniformly manage some basic information involved in the electrolysis production management process. It can provide a unified and standardized data model for job planning, job scheduling, statistical analysis, etc. for but not limited to workstation management, electrolytic cell management, plate information, plan type, job instructions, etc., and supports manual initialization and addition, deletion, modification and query operations on these basic configuration information.

[0119] The workbench management model 407 can provide overview charts including plan execution, job scheduling, process monitoring, statistical analysis, and home page functions such as to-do tasks and shortcuts through the workbench, and provide a visual cockpit of a monitoring large screen according to actual site needs. The block diagram of the main interface of the workbench can be as follows: Figure 3 shown.

[0120] The system management module 408 can be, but is not limited to, basic management functions such as organizational structure, positions, roles, permissions, and users, and can generate system logs, operation logs, operation and maintenance logs, etc., providing a platform for operation and maintenance data tracing.

[0121] According to the intelligent control system for unmanned production in the electrolysis workshop proposed in the embodiment of the present application, the edge communication system can be used to achieve network security isolation and communication protocol analysis and conversion, and the process data and equipment operation status of the production equipment can be obtained in real time, so as to realize real-time monitoring, collection, storage, analysis, and scheduling of the production process data of the electrolysis workshop, and build a production database based on process data and equipment operation status, so as to realize the digital production and scheduling of the unmanned production line in the electrolysis workshop, and present it intuitively in the form of graphs and tables, so as to improve the intelligent level of unmanned production in the electrolysis workshop, and play a role in assisting decision-making under complex working conditions in the electrolysis process, and significantly improve the production efficiency of electrolysis. Thus, the problems in the related technology that the manual operation method cannot monitor the equipment operation status and various process parameters in real time, and cannot timely schedule various equipment, quickly issue decision instructions, etc., are solved, the production efficiency is low, there are certain production safety hazards, the level of unmanned production in the electrolysis workshop is low, and the degree of intelligence is poor.

[0122] Secondly, the intelligent control method for unmanned production in an electrolysis workshop proposed in accordance with an embodiment of the present application is described with reference to the accompanying drawings.

[0123] Figure 4 A flow chart of an intelligent control method for unmanned production in an electrolysis workshop provided according to an embodiment of the present application;

[0124] like Figure 4 As shown, the intelligent control method for unmanned production in the electrolysis workshop includes the following steps:

[0125] In step S401, process data obtained from the material status of the anode and cathode plates on the slot surface and the material transfer data and the equipment operation status of at least one production equipment are obtained.

[0126] In step S402, a production database is constructed according to process data and equipment operation status, and the data is analyzed and processed to obtain analysis and processing results.

[0127] In step S403, intelligent operation scheduling instructions for one or more production equipment are generated according to the intelligently created production plan and production database.

[0128] Optionally, in one embodiment of the present application, the process data may include but is not limited to at least one of workstation monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data.

[0129] Optionally, in one embodiment of the present application, the tank surface monitoring data may include, but is not limited to, the status and process parameters of each electrolytic tank and each electrode plate slot in the corresponding electrolytic tank.

[0130] Optionally, in one embodiment of the present application, intelligent operation scheduling instructions for one or more production equipment are generated based on the intelligently created production plan and production database, including: generating a job plan schedule based on slotting short-circuit operations, slotting bipolar slot loading operations, slotting short-circuit plate straightening operations, cathode slot loading operations, anode and cathode bipolar slot loading operations, short-circuit inspection operations and quality sampling operations; generating a job scheduling instruction based on the scheduling instruction obtained from the job plan schedule; real-time monitoring of at least one production equipment is performed according to process data and equipment operation status to obtain monitoring data; statistics are collected on the output, quality, consumption, alarms and operations of the electrolytic copper production process according to the production database job plan schedule, job scheduling instructions, and monitoring data to generate reports; unified management of the main basic information of the electrolytic production management process is performed; overview charts of plan execution, job scheduling, process monitoring, and statistical analysis are generated, and interactive information of to-do tasks and shortcuts is generated; at least one basic management function is provided, and system logs, operation logs and / or operation and maintenance logs are generated to trace operation and maintenance data.

[0131] Optionally, in one embodiment of the present application, after the report is generated, it also includes: analyzing the production statistics, operating efficiency analysis and year-on-year data comparison of the electrolysis workshop according to the report.

[0132] Optionally, in an embodiment of the present application, after the interactive information of the to-do tasks and shortcuts is generated, it also includes: designing a visual cockpit providing a large monitoring screen according to actual site needs.

[0133] Optionally, in one embodiment of the present application, obtaining process data obtained from the material status of the anode and cathode plates on the slot surface and the material transfer data and the equipment operation status of at least one production equipment also includes: synchronously processing the process data.

[0134] It should be noted that the above explanation of the embodiment of the intelligent control system for unmanned production in an electrolysis workshop is also applicable to the intelligent control method for unmanned production in an electrolysis workshop of this embodiment, and will not be repeated here.

[0135] According to the intelligent control method for unmanned production in the electrolysis workshop proposed in the embodiment of the present application, the edge communication system can be used to achieve network security isolation and communication protocol parsing and conversion, and the process data and equipment operation status of the production equipment can be obtained in real time, so as to realize real-time monitoring, collection, storage, analysis, and scheduling of the production process data of the electrolysis workshop, and build a production database based on process data and equipment operation status, so as to realize the digital production and scheduling of the unmanned production line in the electrolysis workshop, and present it intuitively in the form of graphs and tables, so as to improve the intelligent level of unmanned production in the electrolysis workshop, and play a role in assisting decision-making under complex working conditions in the electrolysis process, and significantly improve the production efficiency of electrolysis. Thus, the problems in the related technology that the manual operation method cannot monitor the equipment operation status and various process parameters in real time, and cannot timely schedule various equipment, quickly issue decision instructions, etc., are solved, the production efficiency is low, there are certain production safety hazards, the level of unmanned production in the electrolysis workshop is low, and the degree of intelligence is poor.

[0136] Figure 5 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. The electronic device may include:

[0137] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0138] When the processor 502 executes the program, the intelligent management and control method for unmanned production in the electrolysis workshop provided in the above embodiment is implemented.

[0139] Furthermore, the electronic device further comprises:

[0140] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0141] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0142] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0143] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0144] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0145] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0146] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned intelligent management and control method for unmanned production in an electrolysis workshop is implemented.

[0147] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0148] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0149] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0150] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0151] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0152] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0153] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0154] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent management and control system for unmanned production in electrolysis workshops. It is characterized in that include: an edge communication system, the edge communication system communicating with at least one production device of the electrolysis workshop; A data acquisition system, for acquiring process data obtained from the material status of the positive and negative plates on the slot surface and the material transfer data and the equipment operation status of at least one production equipment based on the edge communication system, wherein the process data includes at least one of the following: station monitoring data, slot surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data; A batch data management system, used to construct a production database based on the process data and the equipment operation status, and analyze and process the data to obtain analysis and processing results; and The operation scheduling system is used to generate intelligent operation scheduling instructions for one or more production equipment based on the intelligently created production plan and the production database.

2. The system according to claim 1, It is characterized in that The tank surface monitoring data includes the status and process parameters of each electrolytic tank and each electrode plate slot in the corresponding electrolytic tank.

3. The system according to claim 1, It is characterized in that The operation scheduling system comprises: The planning and scheduling module is used to generate the operation plan and scheduling based on the slotting and short-circuiting operation, the slotting and bipolar slotting operation, the slotting and short-circuiting board alignment operation, the cathode slotting operation, the anode and cathode bipolar slotting operation, the short-circuit inspection operation and the quality sampling inspection operation; A job scheduling module, used for generating job scheduling instructions according to the scheduling instructions obtained from the job plan scheduling; A process monitoring module, used to monitor the at least one production equipment in real time according to the process data and the equipment operation status to obtain monitoring data; A statistical analysis module, for collecting statistics on the output, quality, consumption, alarms and operations of the electrolytic copper production process according to the operation plan schedule, the operation scheduling instructions and the monitoring data of the production database, so as to generate a report; Model management module, used to uniformly manage the main basic information of the electrolysis production management process; The workbench management module is used to generate overview charts of plan execution, job scheduling, process monitoring, and statistical analysis, and to generate interactive information of to-do tasks and shortcuts; The system management module is used to provide at least one basic management function and generate system logs, operation logs and / or operation and maintenance logs for tracing operation and maintenance data.

4. The system according to claim 3, It is characterized in that The statistical analysis module is also used to analyze the production statistics, operation efficiency analysis and year-on-year data comparison of the electrolysis workshop based on the report.

5. The system according to claim 3, It is characterized in that The workbench management module is also used to design a visual cockpit with a large monitoring screen according to actual on-site needs.

6. The system according to claim 1, It is characterized in that The data acquisition system is composed of a redundant SCADA server to communicate with at least one production equipment control system of the electrolysis workshop.

7. The system according to claim 1 or 4, It is characterized in that The data acquisition system is also used to synchronously process the process data.

8. The system according to claim 1, It is characterized in that The data acquisition system comprises: A communication driver module, used to drive the data acquisition system to communicate with the edge communication system; A data configuration module, which obtains the process data from the material status of the anode and cathode plates on the slot surface and the material transport data; Data synchronization module, used to control the primary server and the backup server to synchronize data; The data dump module is used to store the process data and the equipment operation status and generate a historical database.

9. The system according to claim 1, It is characterized in that The batch data management system comprises: A workstation monitoring data module, used to monitor the workstation monitoring data of each material box in the workshop; A tank surface monitoring data module is used to monitor the tank surface monitoring data, and record at least one of the following data: the running state of the electrolytic cell, the operation state, the operation batch, the installation date of each cathode plate, the installation date of each anode plate, the cathode electrolysis time, the anode electrolysis time, and the number of anodes, the number of cathode plates, the number of short circuit alarms, the number of short circuit hidden dangers, and the number of cathodes that have passed quality inspection; Anode data recording module, used to record the anode residual data of the plate data, and obtain data of the complete process of anode assembly packaging station - material preparation station - crane hoist - anode station of the loading platform - electrolytic cell anode plate - anode station of the loading platform - crane hoist - residual anode conveying station; A cathode data recording module is used to record the cathode data of the electrode plate data, and obtain the data of the complete process of material preparation station - crane hoist - cathode station of the loading platform - cathode plate of the electrolytic cell - cathode station of the loading platform - crane hoist - copper conveying station - waste electrode storage station; A short circuit alarm data module is used to monitor the short circuit alarm data, record the number of the electrolytic cell currently inspected, the electrolytic cell plate number, the alarm state, the alarm time and the cathode plan number of the current alarm electrolytic cell; Equipment monitoring data module, used to monitor equipment monitoring data, record the status and operating parameters of anode unit PLC, crane hoist PLC, and loading platform PLC; Unit monitoring data module, used to monitor unit monitoring data; Driving monitoring data module, used to monitor driving monitoring data; A platform monitoring data module, used to monitor the workstation monitoring data; The quality inspection data module is used to monitor the quality inspection data and record at least one of the inspection plan number, cathode plate number, electrolysis days, inspection results, inspection records and inspection time.

10. An intelligent control method for unmanned production in an electrolysis workshop, It is characterized in that The following steps are involved: Acquire process data obtained from the material status of the positive and negative plates on the tank surface and the material transfer data and the equipment operation status of at least one production equipment, wherein the process data includes at least one of the following: station monitoring data, tank surface monitoring data, plate data, short circuit alarm data, quality inspection data, scheduling monitoring data and equipment monitoring data; Building a production database according to the process data and the equipment operation status, and analyzing and processing the data to obtain analysis and processing results; and Generate intelligent operation scheduling instructions for one or more production equipment based on the intelligently created production plan and the production database.

11. An electronic device, It is characterized in that include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent management and control method for unmanned production in an electrolysis workshop as claimed in claim 10.

12. A computer-readable storage medium having a computer program stored thereon, It is characterized in that The program is executed by a processor to implement the intelligent management and control method for unmanned production in an electrolysis workshop as described in claim 10.

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