CN111850609A - Aluminum electrolysis control system based on digital twinning - Google Patents
Aluminum electrolysis control system based on digital twinning Download PDFInfo
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- CN111850609A CN111850609A CN202010490535.7A CN202010490535A CN111850609A CN 111850609 A CN111850609 A CN 111850609A CN 202010490535 A CN202010490535 A CN 202010490535A CN 111850609 A CN111850609 A CN 111850609A
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
- C25C3/00—Electrolytic production, recovery or refining of metals by electrolysis of melts
- C25C3/06—Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
- C25C3/20—Automatic control or regulation of cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a digital twin-based aluminum electrolysis control system, which comprises an automatic detection device: the data fusion unit is used for receiving the data of the automatic detection device and processing the data; the human-computer interaction unit is connected with the data fusion unit and provides an information output port and an operation input port; the intelligent execution mechanism is arranged on the aluminum electrolysis production line and executes management and control work according to data or operation instructions of the data fusion unit and the human-computer interaction unit; and the simulation analysis platform receives the data of the data fusion unit, maps the whole life cycle process of aluminum electrolysis in a virtual space, and combines a plurality of databases to give early warning or management and control measures. The invention takes the collected real data as the basis, and the real data is simulated and compared with the real reaction condition of the production line for reference, thereby keeping the respective characteristics of a real system and a simulation system, mapping the operation process of a physical system in real time, providing an accurate strategy for parameter adjustment, control optimization and the like, effectively improving the current efficiency and reducing the energy consumption.
Description
Technical Field
The invention relates to the field of aluminum electrolysis production process control, in particular to an aluminum electrolysis control system based on digital twinning.
Background
At present, the control of the aluminum electrolysis process still depends on a mode of combining single real-time parameters with offline measurement and manual sampling assay data and is carried out based on expert knowledge and experience, but along with the maximization of an aluminum electrolysis cell, the control equipment and strategy can not meet the practical requirements. Although a great deal of technical research and system research and development are carried out by related scientific research institutions and colleges at home and abroad, for example, the invention of an authorization notice number CN108360021B discloses a method and equipment for acquiring process control parameters of an aluminum electrolysis cell based on data and knowledge; the invention discloses an aluminum electrolysis cell electric field simulation analysis method with an authorization notice number CN 103984832B. The improvement of the control level is promoted to a certain extent, but the precise control still can not be carried out, and the electrolysis efficiency and the energy-saving level can not be effectively improved. Therefore, developing a new generation of aluminum electrolysis control system by combining the innovative information technologies such as big data technology, internet of things technology and physical information fusion technology with the process mechanism and the data algorithm has become an industry direction of effort. Meanwhile, how to accurately and reliably obtain the online real-time data of various key state parameters, and how to develop multi-source data fusion research and a real-time data simulation modeling-based method different from the traditional simulation are also problems which need to be solved urgently.
More mature technologies have appeared in the detection field, such as: an aluminum electrolysis cell anode current distribution online monitoring device (application number 201520355122.2); an electrolyte temperature on-line monitoring device based on non-contact infrared detection (application number 201520354446.4); an online monitoring method for the electrolyte temperature of an aluminum electrolytic cell and a device thereof (application No. 201510281423. X); an aluminum liquid interface fluctuation and polar distance on-line monitoring method and a device thereof for an aluminum electrolysis cell (application number 201510281729.5); an aluminum liquid interface fluctuation and polar distance on-line monitoring method of an aluminum electrolysis cell and a device thereof (application number 201510281729.5) and the like.
In summary, it is necessary to further develop and optimize the corresponding state parameter online detection device, improve usability and reliability, establish a state parameter visualization system and develop an intelligent execution mechanism, and establish a corresponding simulation analysis platform parallel to the real physical system, so as to form an aluminum electrolysis data twin system, thereby further improving the control level of aluminum electrolysis production, and achieving the purposes of greatly reducing energy consumption and improving current efficiency.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the aluminum electrolysis control system based on the digital twin is provided to solve the problem that the control level and the energy-saving and consumption-reducing level are low due to the lack of state parameter real-time perception data and corresponding data models in the prior art.
The invention adopts the following technical scheme:
an aluminium electroloysis management and control system based on digit twin, includes automatic checkout device, still includes: the data fusion unit is used for receiving the data of the automatic detection device and processing the data; the human-computer interaction unit is connected with the data fusion unit and provides an information output port and an operation input port; the intelligent execution mechanism is arranged on the aluminum electrolysis production line and executes management and control work according to data or operation instructions of the data fusion unit and the human-computer interaction unit; and the simulation analysis platform receives the data of the data fusion unit, maps the whole life cycle process of aluminum electrolysis in a virtual space, and combines a plurality of databases to give early warning or management and control measures.
Specifically, the system accurately senses the aluminum electrolysis process data through an automatic detection device, forms a unique real-time data source after being processed by a data fusion unit, and forms an aluminum electrolysis digital copy together with databases and the like deployed in a human-computer interaction unit and a simulation analysis platform to reflect the production operation and the whole life cycle process of an electrolytic cell. Compared with a simple simulation or a simple control system, the data of the system has the source of the acquired real data, the situation of the source data obtained through simulation is compared and referred with the situation of the real reaction of a production line, the characteristics of more uncertain factors of the real system and the characteristic of strong prediction capability of the simulation system in a stable situation are reserved, all running situations are basically covered, the advantage complementation between the simulation and the real system is facilitated, more reliable prediction and early warning are obtained, the corresponding control measures are conveniently executed, and the control level and the energy-saving and consumption-reducing level are improved.
The various units are connected through the Internet of things technology and comprise a wired and wireless transmission network, a data processing unit, a communication control unit and a signal isolation unit which are already in mature technologies. Related networks and units have the capabilities of preventing high-temperature (more than or equal to 300 ℃) failure, resisting strong magnetism (direct current magnetic field is more than or equal to 500 Gs) interference and isolating strong current and weak current, can finish conditioning and transmission of various data in complex spaces such as an electrolytic bath bus, an upper mechanism and the like, and can realize seamless interaction of wireless and wired network data.
Preferably, the automatic detection device includes: the automatic detection device is arranged at one or more of an anode guide rod, an electrolytic bath cathode steel bar, an electrolytic bath upper mechanism or an electrolytic bath large surface according to requirements. Specifically, the automatic detection device is technically mature, has the measures of strong magnetic interference prevention, high temperature resistance, dust prevention and corrosion resistance in an aluminum electrolysis production environment, has a vibration-resistant and deformation-free structure in an environment with frequent pole changing and aluminum discharging operations, is isolated from a direct current large current (maximum 600 kA) power supply system signal, and ensures that equipment cannot suffer from strong current invasion to cause damage to components and circuit boards.
Preferably, the data fusion unit comprises a data integration system, a one-way transmission physical isolation system and a server, wherein the one-way transmission physical isolation system is connected with the automatic detection device and the human-computer interaction unit; the data integration system carries out data integration, data cleaning, data management and data visualization processing, and the server provides data management, data storage and data extraction services according to specified standards.
Preferably, the human-computer interaction unit comprises a visual cell phone and a digital mobile assistant. The system has the functions of real-time data analysis, algorithm solving, drive control and field data visualization display.
Preferably, the visual tank control machine comprises a display screen, a controller and a control model library, wherein the control model library comprises a process control model for concentration control, electric heating balance, effect prediction and tank stability judgment; the controller calls related models in a control model library to perform data analysis and operation based on real-time data of the automatic detection device, and drives the intelligent execution mechanism to complete corresponding work while judging production stability and normal work of equipment; the controller sends and collects control data to the data fusion unit at regular time, displays production process data on a display screen, and timely alarms or pre-warns abnormal conditions of the production process and equipment. The visual cell control machine can be an integrated all-in-one machine and can also be arranged in a separated mode.
Preferably, the digital mobile assistant comprises a mobile industrial terminal with an input module, a shooting module and a display module; and shares data with the visual cell controller. The APP management system runs on the mobile industrial terminal, and has the functions of single sign-on, APP integration, video access, playback and the like, the mobile industrial terminal is provided with but not limited to more than 20 function keys and a touch screen, and the work of field shooting, instant communication, talkback, data entry, two-dimensional code or RFID scanning and the like can be completed. The mobile digital assistant realizes data interaction with the data fusion unit through a wireless network, enables man-machines to be interconnected on line, helps operators to receive operation plans, process knowledge and AR/VR training in time, completes work such as operation routing inspection, accident diagnosis and shift, and can display various operation and collected data.
Preferably, the intelligent execution mechanism comprises a crust breaking mechanism, a single-point blanking mechanism, a bus lifting mechanism and an inspection robot, and the intelligent execution mechanism and the human-computer interaction unit cooperate to complete automatic crust breaking, single-point blanking, bus lifting and equipment inspection; the crust breaking mechanism controls the pressure of the cylinder and adjusts the corrosion-resistant hammer head to ensure the breakdown of the crust surface; the single-point blanking mechanism controls a gas circuit valve and blanking amount of a relevant blanking point according to the change of the regional alumina concentration and the tank voltage; the bus lifting mechanism collects positive pressure in contact with the guide rod according to the actual aluminum output and compensation voltage requirements, adjusts the air pressure of the lifting frame and carries out accurate bus lifting operation; the inspection robot automatically inspects the production process and sends related data to the man-machine interaction unit in real time.
The intelligent crust breaking mechanism mainly comprises a corrosion-resistant hammer head, an air cylinder and a distance sensor, and after receiving a control instruction of a human-computer interaction unit, the intelligent crust breaking mechanism controls the pressure of the air cylinder according to data returned by the distance sensor to ensure that a crust surface is punctured.
The single-point blanking mechanism mainly comprises a constant volume blanking device and an angle rotating motor, wherein the angle rotating motor controls the opening of a gas path valve, and after the single-point blanking mechanism receives a control instruction, single-point blanking is carried out to control the blanking point and the single-point blanking amount.
The bus lifting mechanism mainly comprises a lifting frame and pressure sensors of branch enclasping devices, after a control instruction is received, the branch sensors of the bus lifting structure collect positive pressure in contact with the guide rod, when the pressure value is not reached, the air pressure of the lifting frame on the bus lifting structure is automatically adjusted, and bus lifting operation is carried out only after the bus lifting structure is completely enclasping on the bus lifting structure, so that the safety of the operation process is ensured.
Preferably, the simulation analysis platform comprises a management platform, a data analyzer, an integrated knowledge base, an operation history database, a cockpit and an equipment asset base; the management platform receives data of the data fusion unit according to a certain sampling period, and maps the whole life cycle process of equipment such as aluminum electrolysis, an electrolytic cell and the like in a virtual space; the data analyzer analyzes the yield, quality, cost, raw materials and equipment service life based on the data of the data fusion unit, the historical database and the equipment asset library and the aluminum electrolysis control knowledge of the comprehensive knowledge base, provides process parameter adjustment, operation optimization, quality improvement, equipment management and risk early warning strategies, and gives an alarm and early warning for production and equipment abnormity by displaying the analysis data of the equipment assets and production operation through the cockpit. Specifically, the simulation analysis platform is designed according to the SaaS architecture and comprises visual components, a data engine, analysis tools, AR/VR materials, component management and other micro-services.
Wherein the management platform in the simulation analysis platform collects the data processed and integrated by the data fusion platform, the aluminum electrolysis production process is virtually mapped in a simulation analysis platform according to the process mechanism, the material characteristics and the design configuration, the data analyzer is combined with an operation historical database and a comprehensive knowledge base to analyze the operation state, the energy consumption and the material consumption and the like, and the instructions of fault early warning, parameter adjustment, optimization and the like are given, if the change trend of the alumina concentration is tracked and predicted by adopting a nonlinear dimensionality reduction state observer or an echo state network algorithm according to the sensed anode current distribution parameters and historical operating data, then a blanking interval adjustment indication is given to ensure the stable operation of the production process, the generated data is returned to the simulation analysis platform to map a new operation state, and therefore, the digital twin-based aluminum electrolysis control system with practical application value is formed repeatedly.
The substantial effects of the invention include: the automatic detection device can reliably and accurately obtain key state parameters such as anode current distribution, two levels and the like, avoids manual groove-by-groove acquisition of relevant data, reduces the labor intensity of workers, and greatly improves the usability and the safety. Meanwhile, managers and operators can check all parameters and analysis results of the aluminum electrolysis cell at any time through the mobile industrial terminal or the visual cell control machine, and compared with the traditional work area upper computer, the method checks curves and manual statistical analysis, and then guides the operation and operation processes to check data back and forth, so that the operation safety and timeliness are greatly improved, all data are clear beside the aluminum electrolysis cell at a glance, and the management efficiency of a single cell is improved. In addition, the data fusion unit and the simulation analysis platform fuse various automatic detection devices and data acquired by the existing system, and the operation process of the physical system is mapped in real time, so that accurate strategies are provided for parameter adjustment, control optimization and the like, the current efficiency can be effectively improved, and the energy consumption can be reduced.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the present invention;
FIG. 2 is a schematic diagram of an Internet of things of an embodiment of the invention;
FIG. 3 is a schematic diagram of a data fusion unit of an embodiment of the invention;
FIG. 4 is a schematic diagram of a visual cell control machine according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a part of a link operation according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a simulation analysis platform according to an embodiment of the invention;
the figure includes: the system comprises an automatic detection device, an Internet of things (2), a data fusion unit (3), a visual tank control machine (4), an intelligent execution mechanism (5), a mobile digital assistant (6), a simulation analysis platform (7), a wired and wireless transmission network (12), a data processing unit (13), a communication control unit (14), a signal isolation unit (15), a hardware system (16), a software system (17), a display screen (18), a controller (19), a control model library (20), a management platform (27), a data analyzer (28), a comprehensive knowledge library (29), an operation history database (30) and a cockpit (31).
Detailed Description
The technical solution of the present application will be described with reference to the following examples. In addition, numerous specific details are set forth below in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present invention.
Example (b):
as shown in fig. 1, the aluminum electrolysis control system based on digital twins includes an automatic detection device 1, and further includes: the data fusion unit 3 is used for receiving the data of the automatic detection device 1 and processing the data; the human-computer interaction unit comprises a visual cell controller 4 and a digital mobile assistant, is connected with the data fusion unit 3, and provides an information output port and an operation input port; the intelligent execution mechanism 5 is arranged on the aluminum electrolysis production line and executes management and control work according to the data or operation instructions of the data fusion unit 3 and the human-computer interaction unit; and the simulation analysis platform 7 is used for receiving the data of the data fusion unit 3, mapping the aluminum electrolysis full life cycle process in a virtual space, and giving early warning or management and control measures by combining a plurality of databases.
Specifically, the system accurately senses the aluminum electrolysis process data through the automatic detection device 1, forms a unique real-time data source after being processed by the data fusion unit 3, and forms an aluminum electrolysis digital copy together with databases and the like deployed in the human-computer interaction unit and the simulation analysis platform 7 to reflect the production operation and the whole life cycle process of the electrolytic cell. Compared with a simple simulation or a simple management and control system, the source of the system data is actually acquired data, the situation of the source data obtained through simulation and the situation of real reaction of a production line can be compared and referred, the characteristics of multiple uncertain factors of the real system and the characteristic of strong prediction capability of the simulation system in a stable situation are reserved, the combination of the characteristics can basically cover all situations, the advantage complementation between the simulation and the real system is facilitated, more reliable prediction and early warning are obtained, the corresponding management and control measures are conveniently executed, and the control level and the energy-saving and consumption-reducing level are improved.
The various units are connected through internet of things technology, and as shown in fig. 2, the various units include a wired and wireless transmission network 12, a data processing unit 13, a communication control unit 14, and a signal isolation unit 15. The related networks and units of the Internet of things 2 have the capabilities of preventing high-temperature (more than or equal to 300 ℃) failure, resisting strong magnetic (direct current magnetic field is more than or equal to 500 Gs) interference and isolating strong and weak electricity, can complete conditioning and reliable transmission of various data in complex spaces such as an electrolytic bath bus, an upper mechanism and the like, and can realize seamless interaction of wireless and wired network data.
The automatic detection device 1 of the present embodiment includes: the automatic detection device 1 is arranged at one or more of an anode guide rod, an electrolytic bath cathode steel bar, an electrolytic bath upper mechanism or an electrolytic bath large surface according to requirements. Specifically, the automatic detection device 1 has strong magnetic interference prevention, high temperature resistance, dust prevention and corrosion resistance measures in an aluminum electrolysis production environment, has a vibration-resistant and deformation-free structure in an environment with frequent pole changing and aluminum discharging operations, is isolated from a direct current high current (highest 600 kA) power supply system signal, and ensures that equipment cannot be damaged by components and circuit boards due to strong current invasion.
The automatic detection device 1 of the embodiment is deployed at a corresponding position of an aluminum electrolysis cell to obtain key process data such as anode current distribution, data obtained by different sensors are processed and transmitted to the data fusion unit 3 through the internet of things to form a unique real-time data source, and the data fusion unit 3 is deployed in a production scheduling center or a field work area office. The visual cell control machine 4 (integrated type) is deployed on the upper structure of the aluminum outlet end of the aluminum electrolysis cell, or the display screen 18 of the visual cell control machine 4 (separated type) is deployed on the upper structure of the aluminum outlet end of the aluminum electrolysis cell, and the rest part is deployed at the flue end. The simulation analysis platform 7 is arranged at the same position as the data fusion unit 3. The intelligent actuating mechanism 5 is controlled by the visual cell controller 4 or the mobile digital assistant 6 to carry out corresponding operation.
As shown in fig. 3, the data fusion unit 3 is a collection and management center of real-time data of the whole system, and mainly includes a hardware system 16 and a software system 17. The hardware system 16 consists of a data integration system, a unidirectional transmission physical isolation system, a server and the like, and can be accessed to various data such as the visual cell controller 4, the mobile digital assistant 6, a PLC, an MES and the like; the software system 17 includes components such as data cleaning, data management, data storage, data management, data engine, data visualization, etc., and can provide services such as data integration, data management, data storage, and data extraction according to specified standards.
As shown in fig. 4 and 5, the visual cell controller 4 includes a display screen 18, a controller 19 and a control model library 20, wherein the control model library 20 includes process control models for concentration control, electric heat balance, effect prediction and cell stability judgment; the controller 19 calls the relevant models in the control model library 20 to perform data analysis and operation based on the real-time data of the automatic detection device 1, and drives the intelligent execution mechanism 5 to complete corresponding work while judging the production stability and normal work of equipment; the controller 19 sends and collects control data to the data fusion unit 3 at regular time, displays the production process data on the display screen 18, and timely alarms or pre-warns abnormal conditions of the production process and equipment. The visual cell controller 4 can be an integrated machine or a separated arrangement.
In addition, the digital mobile assistant comprises a mobile industrial terminal with an input module, a shooting module and a display module; and shares data with the visual cell controller 4. The APP management system runs on the mobile industrial terminal, and has the functions of single sign-on, APP integration, video access, playback and the like, the mobile industrial terminal is provided with but not limited to more than 20 function keys and a touch screen, and the work of field shooting, instant communication, talkback, data entry, two-dimensional code or RFID scanning and the like can be completed. The mobile digital assistant 6 realizes data interaction with the data fusion unit 3 through a wireless network, enables man-machines to be interconnected on line, helps operators to receive operation plans, process knowledge and AR/VR training in time, completes operation routing inspection, accident diagnosis, shift work and other work, and can display various operation and collected data.
The intelligent execution mechanism 5 of the embodiment comprises a crust breaking mechanism, a single-point blanking mechanism, a bus lifting mechanism and an inspection robot, and is cooperated with a human-computer interaction unit to complete automatic crust breaking, single-point blanking, bus lifting and equipment inspection; the crust breaking mechanism controls the pressure of the cylinder and adjusts the corrosion-resistant hammer head to ensure the breakdown of the crust surface; the single-point blanking mechanism controls a gas circuit valve and blanking amount of a relevant blanking point according to the change of the regional alumina concentration and the tank voltage; the bus lifting mechanism collects positive pressure in contact with the guide rod according to the actual aluminum output and compensation voltage requirements, adjusts the air pressure of the lifting frame and carries out accurate bus lifting operation; the inspection robot automatically inspects the production process and sends related data to the man-machine interaction unit in real time.
The intelligent crust breaking mechanism mainly comprises a corrosion-resistant hammer head, an air cylinder and a distance sensor, and after receiving a control instruction of a human-computer interaction unit, the intelligent crust breaking mechanism controls the pressure of the air cylinder according to data returned by the distance sensor to ensure that a crust surface is punctured.
The single-point blanking mechanism mainly comprises a constant volume blanking device and an angle rotating motor, wherein the angle rotating motor controls the opening of a gas path valve, and after the single-point blanking mechanism receives a control instruction, single-point blanking is carried out to control the blanking point and the single-point blanking amount.
The bus lifting mechanism mainly comprises a lifting frame and pressure sensors of branch enclasping devices, after a control instruction is received, the branch sensors of the bus lifting structure collect positive pressure in contact with the guide rod, when the pressure value is not reached, the air pressure of the lifting frame on the bus lifting structure is automatically adjusted, and bus lifting operation is carried out only after the bus lifting structure is completely enclasping on the bus lifting structure, so that the safety of the operation process is ensured.
As shown in fig. 6, the simulation analysis platform 7 includes a management platform 27, a data analyzer 28, an integrated knowledge base 29, an operation history database 30, a cockpit 31, and a device asset library; the management platform 27 receives the data of the data fusion unit 3 according to a certain sampling period, and maps the whole life cycle process of equipment such as aluminum electrolysis, electrolytic bath and the like in a virtual space; the data analyzer 28 analyzes the yield, quality, cost, raw materials and equipment life based on the data of the data fusion unit 3, the historical database 30 and the equipment asset library and the aluminum electrolysis control knowledge of the comprehensive knowledge base 29, gives out the strategies of process parameter adjustment, operation optimization, quality improvement, equipment management and risk early warning, displays the analysis data of the equipment assets and production operation through the cockpit 31, and gives an alarm and early warning to the production and the equipment abnormity. Specifically, the simulation analysis platform 7 is designed according to the SaaS architecture, and includes micro services such as a visualization component, a data engine, an analysis tool, AR/VR materials, and component management.
In the operation process of the system, the control model library 20 shown in fig. 5, the comprehensive database shown in fig. 6, the operation history database 30 and the like together form an aluminum electrolysis digital copy, and the process of production operation and the whole life cycle of the electrolytic cell is reflected. The simulation analysis platform 7 reflects real-time changes of the aluminum electrolysis cells in the actual physical world, gives corresponding various strategies through a data analyzer 28 shown in fig. 6, and reflects multidimensional display of various given prompts and data through a cockpit 31 shown in fig. 6.
After the control instruction of the visual cell controller 4 is executed, the action of the intelligent executing mechanism 5, the data generated by the intelligent executing mechanism and the data sensed by the automatic detection device 1 are transmitted back to the data fusion platform in real time through the Internet of things, and the simulation analysis platform 7 reflects the state of the actual electrolytic cell at the same time, so that a closed-loop parallel digital twin-based aluminum electrolysis control system is well formed.
The effect of the embodiment includes: the automatic detection device 1 can reliably and accurately obtain key state parameters such as anode current distribution, two levels and the like, avoids manual groove-by-groove acquisition of relevant data, reduces the labor intensity of workers, and greatly improves the usability and the safety. Meanwhile, managers and operators can check all parameters and analysis results of the aluminum electrolysis cell at any time through the mobile industrial terminal or the visual cell control machine 4, and compared with the traditional work area upper computer, the method checks curves and manual statistical analysis, and then guides the operation and the operation process to check data back and forth, so that the operation safety and timeliness are greatly improved, all data are clear beside the aluminum electrolysis cell, and the management efficiency of a single cell is improved. In addition, the data fusion unit 3 and the simulation analysis platform 7 fuse the data acquired by the various automatic detection devices 1 and the existing system, and map the operation process of the physical system in real time, so that accurate strategies are provided for parameter adjustment, control optimization and the like, the current efficiency can be effectively improved, and the energy consumption can be reduced.
Through the description of the above embodiments, those skilled in the art will understand that, for convenience and simplicity of description, only the division of the above functional modules is used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of a specific device is divided into different functional modules to complete all or part of the above described functions.
A component shown as a unit may be one physical unit or a plurality of physical units, i.e. may be located in one place, or may also be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. The utility model provides an aluminium electroloysis management and control system based on digit twin, includes automatic checkout device, its characterized in that still includes:
the data fusion unit is used for receiving the data of the automatic detection device and processing the data;
the human-computer interaction unit is connected with the data fusion unit and provides an information output port and an operation input port;
the intelligent execution mechanism is arranged on the aluminum electrolysis production line and executes management and control work according to data or operation instructions of the data fusion unit and the human-computer interaction unit;
and the simulation analysis platform receives the data of the data fusion unit, maps the whole life cycle process of aluminum electrolysis in a virtual space, and combines a plurality of databases to give early warning or management and control measures.
2. The digital twin-based aluminum electrolysis control system according to claim 1, wherein the automatic detection device comprises: the automatic detection device is arranged at one or more of an anode guide rod, an electrolytic bath cathode steel bar, an electrolytic bath upper mechanism or an electrolytic bath large surface according to requirements.
3. The digital twin-based aluminum electrolysis control system according to claim 1, wherein the data fusion unit comprises a data integration system, a unidirectional transmission physical isolation system and a server, wherein the unidirectional transmission physical isolation system is connected with the automatic detection device and the human-computer interaction unit; the data integration system carries out data integration, data cleaning, data management and data visualization processing, and the server provides data management, data storage and data extraction services according to specified standards.
4. The digital twin-based aluminum electrolysis control system according to claim 1, wherein the human-computer interaction unit comprises a visual cell controller and a digital mobile assistant.
5. The digital twin-based aluminum electrolysis control system according to claim 4, wherein the visual cell controller comprises a display screen, a controller and a control model library, the control model library comprises process control models for concentration control, electric heat balance, effect forecast and cell stability judgment; the controller calls related models in a control model library to perform data analysis and operation based on real-time data of the automatic detection device, and drives the intelligent execution mechanism to complete corresponding work while judging production stability and normal work of equipment; the controller sends and collects control data to the data fusion unit at regular time, displays production process data on a display screen, and timely alarms or pre-warns abnormal conditions of the production process and equipment.
6. The digital twin-based aluminum electrolysis control system according to claim 4 or 5, wherein the digital mobile assistant comprises a mobile industrial terminal with an input module, a shooting module and a display module; and shares data with the visual cell controller.
7. The digital twin-based aluminum electrolysis control system according to claim 1, wherein the intelligent execution mechanism comprises a crust breaking mechanism, a single-point blanking mechanism, a bus lifting mechanism and an inspection robot, and the intelligent execution mechanism cooperates with the human-computer interaction unit to complete automatic crust breaking, single-point blanking, bus lifting and equipment inspection; the crust breaking mechanism controls the pressure of the cylinder and adjusts the corrosion-resistant hammer head to ensure the breakdown of the crust surface; the single-point blanking mechanism controls a gas circuit valve and blanking amount of a relevant blanking point according to the change of the regional alumina concentration and the tank voltage; the bus lifting mechanism collects positive pressure in contact with the guide rod according to the actual aluminum output and compensation voltage requirements, adjusts the air pressure of the lifting frame and carries out accurate bus lifting operation; the inspection robot automatically inspects the production process and sends related data to the man-machine interaction unit in real time.
8. The digital twin-based aluminum electrolysis management and control system according to claim 1, wherein the simulation analysis platform comprises a management platform, a data analyzer, an integrated knowledge base, an operation history database, a cockpit and an equipment asset base; the management platform receives data of the data fusion unit according to a certain sampling period, and maps the whole life cycle process of equipment such as aluminum electrolysis, an electrolytic cell and the like in a virtual space; the data analyzer analyzes the yield, quality, cost, raw materials and equipment service life based on the data of the data fusion unit, the historical database and the equipment asset library and the aluminum electrolysis control knowledge of the comprehensive knowledge base, provides process parameter adjustment, operation optimization, quality improvement, equipment management and risk early warning strategies, and gives an alarm and early warning for production and equipment abnormity by displaying the analysis data of the equipment assets and production operation through the cockpit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010490535.7A CN111850609B (en) | 2020-06-02 | 2020-06-02 | Aluminum electrolysis control system based on digital twinning |
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| CN202010490535.7A CN111850609B (en) | 2020-06-02 | 2020-06-02 | Aluminum electrolysis control system based on digital twinning |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112725840A (en) * | 2020-12-29 | 2021-04-30 | 北方工业大学 | Digital twin control system of aluminum electrolysis cell |
| CN112950758A (en) * | 2021-01-26 | 2021-06-11 | 长威信息科技发展股份有限公司 | Space-time twin visualization construction method and system |
| CN113050649A (en) * | 2021-03-24 | 2021-06-29 | 西安科技大学 | Remote control system and method for inspection robot driven by digital twin |
| CN114063576A (en) * | 2021-09-26 | 2022-02-18 | 苏州宏软信息技术有限公司 | Digital twinning system and method applied to industrial production line |
| CN115841238A (en) * | 2023-02-21 | 2023-03-24 | 山东捷瑞数字科技股份有限公司 | Raw material supervision system based on digital twins and supervision method thereof |
| CN117782232A (en) * | 2024-02-28 | 2024-03-29 | 中铝智能(杭州)安全科学研究院有限公司 | Deformation anchor rod and anchor cable monitoring system and monitor thereof |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002046499A1 (en) * | 2000-12-05 | 2002-06-13 | Zakrytoe Aktsionernoe Obshestvo 'toxsoft' | Method and control unit for operation of aluminum reduction cell |
| US20100065435A1 (en) * | 2006-12-19 | 2010-03-18 | Michael Schneller | Aluminum production process control |
| US20100292825A1 (en) * | 2006-08-09 | 2010-11-18 | Auckland Uniservices Limited | Process control of an industrial plant |
| WO2013177950A1 (en) * | 2012-05-31 | 2013-12-05 | 中铝国际工程股份有限公司 | Aluminum electrolysis plant control system |
| CN105467946A (en) * | 2015-02-05 | 2016-04-06 | 贵阳铝镁设计研究院有限公司 | Aluminum electrolytic MES system based on accurate perception and intelligent decision |
| CN107193223A (en) * | 2017-03-27 | 2017-09-22 | 贵阳铝镁设计研究院有限公司 | Intelligent digital moves assistant |
| CN107955951A (en) * | 2016-10-18 | 2018-04-24 | 沈阳铝镁设计研究院有限公司 | A kind of management method of electrolytic aluminium Life cycle |
| CN108823605A (en) * | 2018-07-12 | 2018-11-16 | 中南大学 | A kind of total digitalization electrolytic cell and its integrated intelligent control system |
-
2020
- 2020-06-02 CN CN202010490535.7A patent/CN111850609B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002046499A1 (en) * | 2000-12-05 | 2002-06-13 | Zakrytoe Aktsionernoe Obshestvo 'toxsoft' | Method and control unit for operation of aluminum reduction cell |
| US20100292825A1 (en) * | 2006-08-09 | 2010-11-18 | Auckland Uniservices Limited | Process control of an industrial plant |
| US20100065435A1 (en) * | 2006-12-19 | 2010-03-18 | Michael Schneller | Aluminum production process control |
| WO2013177950A1 (en) * | 2012-05-31 | 2013-12-05 | 中铝国际工程股份有限公司 | Aluminum electrolysis plant control system |
| CN105467946A (en) * | 2015-02-05 | 2016-04-06 | 贵阳铝镁设计研究院有限公司 | Aluminum electrolytic MES system based on accurate perception and intelligent decision |
| CN107955951A (en) * | 2016-10-18 | 2018-04-24 | 沈阳铝镁设计研究院有限公司 | A kind of management method of electrolytic aluminium Life cycle |
| CN107193223A (en) * | 2017-03-27 | 2017-09-22 | 贵阳铝镁设计研究院有限公司 | Intelligent digital moves assistant |
| CN108823605A (en) * | 2018-07-12 | 2018-11-16 | 中南大学 | A kind of total digitalization electrolytic cell and its integrated intelligent control system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112725840A (en) * | 2020-12-29 | 2021-04-30 | 北方工业大学 | Digital twin control system of aluminum electrolysis cell |
| WO2022142126A1 (en) * | 2020-12-29 | 2022-07-07 | 北方工业大学 | Digital twin control system for aluminum electrolysis cell |
| CN112950758A (en) * | 2021-01-26 | 2021-06-11 | 长威信息科技发展股份有限公司 | Space-time twin visualization construction method and system |
| CN112950758B (en) * | 2021-01-26 | 2023-07-21 | 长威信息科技发展股份有限公司 | Space-time twin visualization construction method and system |
| CN113050649A (en) * | 2021-03-24 | 2021-06-29 | 西安科技大学 | Remote control system and method for inspection robot driven by digital twin |
| CN113050649B (en) * | 2021-03-24 | 2023-11-17 | 西安科技大学 | Digital twin-driven inspection robot remote control system and method |
| CN114063576A (en) * | 2021-09-26 | 2022-02-18 | 苏州宏软信息技术有限公司 | Digital twinning system and method applied to industrial production line |
| CN115841238A (en) * | 2023-02-21 | 2023-03-24 | 山东捷瑞数字科技股份有限公司 | Raw material supervision system based on digital twins and supervision method thereof |
| CN117782232A (en) * | 2024-02-28 | 2024-03-29 | 中铝智能(杭州)安全科学研究院有限公司 | Deformation anchor rod and anchor cable monitoring system and monitor thereof |
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