CN113946140A - Steelmaking centralized control system, method and medium based on industrial internet - Google Patents
Steelmaking centralized control system, method and medium based on industrial internet Download PDFInfo
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
- C21C5/28—Manufacture of steel in the converter
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C2300/00—Process aspects
- C21C2300/06—Modeling of the process, e.g. for control purposes; CII
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
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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
- Y02P10/00—Technologies related to metal processing
- Y02P10/25—Process efficiency
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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]
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- Quality & Reliability (AREA)
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Abstract
The invention provides a steelmaking centralized control system, a steelmaking centralized control method and a steelmaking centralized control medium based on an industrial Internet, wherein the steelmaking centralized control method comprises the following steps: operating the navigation module: making operation standardization and operation flow standardization, and guiding the operation of a centralized control center; an area indication module: fusing the regional data including process, production, equipment and material data, and pushing the fused regional data to a relevant responsibility post; the whole plant indication module: fusing the data of the whole plant including yield, quality, cost, equipment, security, energy and environmental protection data, and pushing the fused data to a relevant responsibility post; a data fusion module: integrating and displaying steel-making L3, molten iron pretreatment L2, converter L2, refining L2 and continuous casting L2; the data fusion comprises data processing, data aggregation, data association and data storage; the data processing comprises noise processing and outlier rejection. The invention leads the operation after centralized control to be more standard, the information to be more global and the data to be more important through operation navigation, regional indication and whole plant indication.
Description
Technical Field
The invention relates to the technical field of steelmaking centralized control, in particular to a steelmaking centralized control system, a steelmaking centralized control method and a steelmaking centralized control medium based on an industrial internet. In particular to a steelmaking centralized control system based on an intelligent factory platform iPlat.
Background
The method aims at 'four rules', and enriches and perfects the integral solution of the sharing ecosphere of intelligent manufacturing and supply chain service with real-time interconnection, flexible manufacturing, efficient collaboration and value sharing by building and developing industrial internet. On a cooperative ecological layer, creating information capacity which supports the sharing of all plate resources and the capability cooperation and jointly creates a group steel ecological ring; in the intelligent operation level, the conversion from responsive manufacturing to predictive manufacturing and from local optimization to global optimization is realized through big data and artificial intelligence; on the intelligent factory level, the operation is changed from automation to less humanization, no humanization and intelligence, the process control is changed from backward to forward, and the future-oriented intelligent factory is created.
In recent years, with the continuous implementation of centralized control projects, a unified solution is lacked to excavate and show the connotation of centralized control, and the invention aims to provide a steelmaking centralized control technology and a data fusion method based on an intelligent factory platform.
The traditional enterprise informatization architecture is divided into five layers of architectures including basic automation, process automation, manufacturing execution, enterprise resource planning and data warehouse, the dimensionality and the domain of data are enhanced in the process of transmitting information from bottom to top, but the real-time performance and the granularity of the data are reduced, a traditional centralized control system human-computer interaction interface is classified according to levels and faces to the system, operators, engineers and managers need to acquire information from systems of different levels, and knowledge is obtained by utilizing personal experience.
The object-oriented and process-oriented innovation application of the centralized control system based on the industrial internet platform integrates the dimensionality, the instantaneity, the granularity and other dimensions of data. And longitudinal integration, information interconnection and intercommunication and data fusion of a system in a factory are realized. The centralized control method based on the industrial Internet platform comprises the following steps: the operation navigation, the area indication and the whole plant indication provide an object-oriented and process-oriented process, and provide a unified human-computer interaction system and interface, so that the production is smoother, the system is more integrated, the information is more visual, and the data fusion creates value.
Patent document CN105427055A (201510923871.5) discloses a method and a system based on internet + industrial 4.0 intelligent manufacturing management, which is used for providing comprehensive information resource services for development, testing, operation and deployment of the system; the method and the system are characterized in that the method and the system based on Internet + industrial 4.0 intelligent manufacturing management comprise a five-layer service architecture, two safety systems and intelligent building management, wherein the five-layer architecture is respectively a hardware platform layer, a software platform layer, a production manufacturing execution layer, a business operation management layer and a strategy management layer from bottom to top; meanwhile, a series of support assistance is realized through two major systems, namely an intelligent building management system, an operation maintenance and IT management system and a safety guarantee system. The ubiquitous sensors, the embedded terminal system, the intelligent control system and the communication facilities form an intelligent network through the CPS, so that people, people and machines, machines and services can be interconnected, and high integration of transverse, longitudinal and end-to-end is realized.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a steelmaking centralized control system, a steelmaking centralized control method and a steelmaking centralized control medium based on the industrial Internet.
The steelmaking centralized control system based on the industrial internet provided by the invention comprises:
operating the navigation module: making operation standardization and operation flow standardization, and guiding the operation of a centralized control center;
an area indication module: fusing regional data comprising processes, production, equipment and materials, and pushing the fused regional data to a relevant responsibility post;
the whole plant indication module: fusing factory-wide data including yield, quality, cost, equipment, security, energy and environmental protection, and pushing the data to a relevant responsibility post;
a data fusion module: integrating and displaying steel-making L3, molten iron pretreatment L2, converter L2, refining L2 and continuous casting L2;
the data fusion comprises data processing, data aggregation, data association and data storage;
the data processing comprises noise processing and outlier rejection;
the L2, L3 represent process computers and remote computers, respectively.
Preferably, the operation navigation module includes:
the molten iron pretreatment operation navigation module: carrying out information prompt and overview on the operation process linkage, operation permission switching and operation site change of the molten iron pretreatment subsystem; the molten iron pretreatment subsystem comprises desulfurization, slagging, charging, trolley and temperature measurement;
the converter operation navigation module: performing operation and operation flow overview on operation flow linkage, operation permission switching, operation site change and fault feedback of a subsystem of the converter; the converter system comprises a converter body, an oxygen lance, a sublance, argon blowing after the converter, dust removal, auxiliary raw materials and alloy,
a refining operation navigation module: performing operation and operation flow overview on operation flow linkage, operation permission switching, operation site change and fault feedback of the refined subsystem; the refining operation navigation module comprises an LF operation navigation module and an RH operation navigation module, and the refining subsystem comprises heating, wire feeding, a trolley and a top lance;
the continuous casting operation navigation module: performing operation and operation flow overview on operation flow connection, operation permission switching, operation site change and fault feedback of the continuous casting subsystem; the continuous casting subsystem comprises a common segment, a fan-shaped segment, a dummy bar, a cutting machine and a roller way.
Preferably, the area indication module includes:
integrating, fusing data, analyzing and displaying the information of production, process, equipment and energy of molten iron pretreatment, converter, refining and continuous casting processes;
pretreating molten iron: displaying a slagging-off position molten iron treatment number, a molten iron tank number, molten iron temperature, stirring time, molten iron desulphurization ratio and on/off molten iron total amount;
converter: the number of the current smelting furnace, the steel type, the iron-steel ratio, the alloy consumption, the temperature, the actual performance and the standard of the components, the components and the standard of argon blowing after the furnace and the estimated tapping time information are displayed by taking a class as a unit;
refining: the method comprises the steps of displaying a furnace number, a steel type, a ladle number, a smelting period schedule, a processing station temperature, estimated tapping time and post-tapping path information of a current refining furnace by taking a class as a unit;
continuous casting: and showing the number of the furnace, the steel grade, the number of the ladle, the weight of the ladle, the temperatures of the ladle and the tundish, the superheat degree, the casting starting time, the casting residual time, the arrival time of the next furnace and the pulling speed of the production line.
Preferably, the plant wide indication module comprises:
integrating, fusing data, analyzing and displaying production plans and actual performance, yield, quality and cost information of the steelmaking profession;
production planning and actual achievement: displaying the production plan of each procedure, the furnace number of each procedure, the casting number, the tapping residual time and the estimated tapping time;
quality: displaying the surface quality of the slabs, including transverse cracks, longitudinal cracks, angular cracks and bulging, and statistically displaying according to groups and months;
cost: the method comprises the steps of displaying the furnace number cost, the class cost, the daily cost and the weekly cost of the converter, displaying the continuous casting slab cost, the daily cost and the weekly cost, and analyzing the furnace number and slab cost structure.
Preferably, the steelmaking L3 includes: planning numbers of all processes of steelmaking, manufacturing command numbers, smelting numbers, steel grades, manufacturing standards, process starting time, process ending time, component actual results and standard information;
converter L2 included: the furnace number, steel type, ladle number, scrap steel weight, molten iron weight, total smelting time, estimated smelting end time, end point carbon content and temperature of the furnace, and the three types and the weights of the maximum consumption of the alloy of the furnace, the furnace number after the furnace, the weight of the molten steel, the temperature, the components and the standards;
refining L2 includes: the furnace number, the steel type, the ladle number, the power consumption, the temperature, the total processing time, the estimated ending time and the sample components;
the continuous casting L2 includes: steel type, heat, ladle number, arrival time, superheat degree, casting starting time, casting residual time, ladle weight, continuous tundish temperature measurement, manual tundish temperature measurement and pull speed of a production line.
The steelmaking centralized control method based on the industrial Internet comprises the following steps:
analyzing the steel-making operation: analyzing the operating stations and the operating specifications of all the procedures before centralized control, station planning after centralized control and auxiliary intelligent equipment conditions;
a man-machine interaction step: performing operation navigation, area indication and whole plant indication by adopting an intelligent factory platform configuration component;
system verification and test steps: and carrying out real-time logic verification, off-line test, on-line test and production process optimization on the man-machine interaction data.
Preferably, the configuration component comprises:
digital desktop components: integrating monitoring, process control and production management pictures to realize the unification of C/S and B/S pages;
a data management component: performing heterogeneous access and data aggregation, and storing the data in a real-time database, a time sequence database and a relational database according to categories;
preferably, the configuration component further comprises:
a configuration management component: and constructing a visual page by dragging and low-code modes, and integrating an industrial primitive gallery and a control through a 2D (two-dimensional) and 3D (three-dimensional) designer.
Preferably, the configuration component further comprises:
alarm center subassembly: the alarm information is collected, displayed and analyzed in a unified mode, wherein the alarm information comprises bottom layer equipment alarm, system health alarm, AI analysis alarm and custom alarm, and the alarm information is provided externally in a chart and interface mode;
an event management component: and all operation events, system events and interface access are managed uniformly, and the management is used for auditing and examining and informing a user.
According to the present invention, a computer-readable storage medium is provided, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method as described above.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention provides a steelmaking centralized control system based on an intelligent factory platform, which comprises the following steps: operation navigation, regional indication and whole plant indication are innovations of a centralized control technology, so that operation after centralized control is more standard, information is more global, and data is more important;
2. the invention provides operation navigation of 4 types of procedures for steelmaking, and the operation manual of 4 large procedures for molten iron pretreatment, converter, refining and continuous casting is standardized, and the operation process is standardized;
3. the invention provides an area indication of 4 processes of steelmaking, and the data of L3, L2 and L1 systems are gathered, wherein 1 set of L3 data, 6 sets of L2 data and 35 sets of L1 data are adopted, so that the area management is more detailed;
4. the invention provides a plurality of types of steel-making whole plant instructions, and establishes object-oriented and process-oriented innovative applications based on high real-time and fine-granularity data, such as analysis and display of systems of plan, actual performance, yield, quality, cost, energy ring and the like, so that the development of the whole plant is controlled, the steel-making whole plant instruction is convenient and practical, and the management efficiency is improved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic diagram of a centralized control system based on an intelligent factory platform iPlat;
FIG. 2 is a schematic navigation diagram of converter operation;
FIG. 3 is a schematic view illustrating a molten iron pretreatment operation;
FIG. 4 is a schematic view of navigation in the LF operation;
FIG. 5 is a schematic view of RH operation navigation;
FIG. 6 is a navigation diagram of a continuous casting operation;
FIG. 7 is a schematic view of a converter zone indication;
FIG. 8 is a schematic view of a refining zone indication;
FIG. 9 is a schematic view of a continuous casting area indication;
FIG. 10 is a schematic diagram of a plant indication (planning and performance);
FIG. 11 is a schematic representation of the plant indication (yield) of steelmaking;
FIG. 12 is a schematic representation of the steel plant indication (cost).
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1:
referring to fig. 1, the centralized control system for steelmaking based on the industrial internet according to the present invention includes:
operating the navigation module: making operation standardization and operation flow standardization, and guiding the operation of a centralized control center;
the operation navigation module is divided into six sub-modules of molten iron pretreatment, a converter, an LF furnace, a refining furnace, slab continuous casting, square billet continuous casting and the like; each submodule relates to the contents of manufacturing operation standardization and operation flow standardization, and taking the converter submodule as an example, the manufacturing operation standard is divided into the following steps: 7 standard steps of equipment process standard, furnace opening and furnace baking, smelting, slag splashing, furnace lining maintenance, fault treatment, furnace blowing out and washing, furnace dismantling and the like; operational flow normalization standardizes a key operational flow of a converter module, and comprises the following steps: the method comprises 11 steps of starting the heat, starting the smelting, tilting the converter, selecting a mode, blowing, measuring the temperature and sampling, stopping the smelting, tapping, splashing slag, pouring slag, finishing the smelting and the like. And the operation navigation module performs operation guidance, state prompt, global overview and the like on the 11 steps through logic processing of basic automation software and a human-computer interaction interface.
The invention is explained by taking a converter submodule as an example, and the six submodules of the centralized control system respectively comprise different manufacturing operation standardization steps and operation flow standardization steps.
An area indication module: fusing and pushing process, production, equipment and material data to relevant responsibility posts;
the data fusion comprises data processing, data aggregation, data association, data storage and the like; the process, production, equipment and material data in the area come from different objects, such as field equipment (special instruments, sensors, electromechanical integrated products and the like), a basic automation PLC, a human-computer interaction HMI (human machine interface), process automation and the like, the data are gathered from various systems, the types of the data are different, the granularity of the data is different, and the original structures of the data are different, so the data are processed before the data are gathered, such as noise processing, outlier rejection and the like; the processed data also needs data correlation, time sequence matching and the like; the data storage is to store different types of data in a time sequence database, a relation database and a real-time database respectively, and lays a foundation for object-oriented and process-oriented innovation application. Taking converter area indication as an example, the method comprises the following steps: operators, quality engineers, process oriented: in the process of smelting one furnace of steel, an ETL (data extraction) mode is adopted to gather relational data from a process control system and an analysis and test analysis system, an OPC (optical proximity correction) mode is used for reading data from a basic automation system and a human-computer interaction system, and a field bus mode is used for reading data of special instruments and sensors. And fusing and displaying data in the aspects of planning, yield, consumption, composition and the like, and pushing the data to a relevant responsibility post.
The whole plant indication module: fusing the data of yield, quality, cost, equipment, security, energy and environmental protection and pushing the fused data to a relevant responsibility post;
a data fusion module: integrating and displaying steel-making L3, molten iron pretreatment L2, converter L2, refining L2 and continuous casting L2; the L2, L3 represent process computers and remote computers, respectively.
Taking the indication of the whole steel-making factory as an example, the method is oriented to the following objects: department level and workshop level managers face to the specialty: the key performance indicators of the steelmaking profession adopt the ways of ETL (extraction of data), micro-service and the like to gather the relational data and the time sequence data from a process control system, a manufacturing execution system and an enterprise resource system. The data in the aspects of planning, yield, cost, quality, inventory, logistics, safety, energy, environmental protection and the like are fused and displayed and pushed to the relevant responsibility posts. The factory wide indication module fuses relevant information of process automation (a main process line L2, an auxiliary line L2 and the like), a manufacturing execution system (a steel-making L3) and other special information systems (an energy-ring information system) and fuses and displays the information.
A steelmaking centralized control system based on an intelligent factory platform iPlat; the typical implementation modes of the steelmaking operation navigation, the steelmaking area indication and the steelmaking whole plant indication are as follows:
firstly, analyzing the steelmaking operation, namely analyzing the operation stations, the operation specifications, the station planning after centralized control and the auxiliary intelligent equipment conditions of each process before centralized control, wherein the steelmaking operation is divided into the processes of molten iron pretreatment, converter, refining, continuous casting and the like.
And secondly, operation navigation, area indication and whole plant indication design, wherein the operation navigation and the area indication relate to 4 working procedures of molten iron pretreatment, converter, refining, continuous casting and the like, and the whole plant indication relates to the quality, cost, plan, safety and energy ring of steelmaking.
And thirdly, data aggregation relates to 1 set of 4 MES (L3) systems in regions, 6 sets of 4L 2 systems in regions, and 35 sets of PLC in 4 regions, wherein 1500 data aggregation iPlat intelligent factory platforms are adopted, wherein the L2 and L3 data are aggregated in a time sequence database influxDB in a micro service mode, and the L1 data are aggregated in a real-time database iHyDB in an OPC mode.
And thirdly, designing a human-computer interaction interface, namely completing the design of the human-computer interaction interface with 40 frames of operation navigation, area indication and whole plant indication by adopting an intelligent factory platform iPlat configuration component B/S framework CVS and a picture point position 84112.
And finally, system verification and test, human-computer interaction interface data real-time logic verification, off-line test, online test, function optimization in the production process and the like.
Example 2:
steelmaking centralized control system based on intelligent factory platform iPlat includes:
intelligent factory platform: the iPlat is a centralized control technology innovation platform, realizes the integration of processes, equipment, operation, automation and information technology, and provides a platform for unified storage, access, data processing, analysis and intelligent linkage for cross-layer service fusion.
And (3) steel making operation analysis: the method is characterized in that the method comprises the steps of analyzing steel-making post setting, responsibility, operation description, post planning after centralized control and auxiliary conditions of intelligent equipment after centralized control, and making clear the operation flow and the specification of the post before centralized control, the change of operation places and permissions after centralized control, the change of the operation flow and the specification, the change of the configuration condition of the intelligent equipment after centralized control and the like.
Steel making operation navigation: standardizing the operation flow, standardizing the operation, guiding the operation of a centralized control center, reducing the load of operators and reducing the deviation possibly generated when the operators operate according to different production experiences to the maximum extent. The steelmaking operation navigation system comprises four subsystems such as molten iron pretreatment, a converter, refining, continuous casting and the like, wherein each subsystem is based on a process flow, standardizes information interaction between an operation center and different operation sites on the site, and is cooperated with switching between the site and a central operation flow. The whole operation flow overview, the operated flow, the executing flow, the following operation prompt and the like.
Steel-making area indication: the method is object-oriented (workshop-level operators and managers), process-oriented (procedures, such as converters), and capable of fusing key data of the process, the production and the equipment through function integration of different application systems and accurately pushing the key data to relevant responsibility posts, so that information is more visual and more important. The steel-making area indication is divided into procedures of molten iron pretreatment, converter, refining, continuous casting and the like, and key data such as manufacturing standard, plan, yield (team yield), quality (heat component, hit rate of temperature), cost (flux, alloy, mediated consumption) and the like related to different application systems are fused, analyzed and displayed.
Steel-making whole plant indication: the method is characterized in that an object (a plant department level manager) is oriented, key data such as yield, quality, cost and equipment are fused through function integration of different application systems, and the fused key data are accurately pushed to relevant responsibility posts, so that information is more visual and more important. Plant wide indications are classified into categories of planning, production, quality, cost, energy ring, and the like. The multi-process and fine-grained data analysis and display are also part of the plant-wide innovation indication function.
Data fusion: the intelligent factory platform iPlat is broken through traditional L1, L2 and L3 system architectures, flat integration of processes, equipment, operation, automation and information technology is achieved, innovation functions of object oriented and process oriented operation navigation, area indication, whole factory indication and the like are built, the innovation functions are based on function integration and data fusion, area indication data are from L1 and L2 data fusion, and whole factory indication data are from L2 and L3 data fusion.
Preferably, the smart factory platform iPlat includes the following core components (including but not limited to):
digital desktop components: the digital desktop component can integrate monitoring, process control and production management pictures, and realize unified integration of C/S and B/S pages. The entrance is unified, the authority is unified, and the display style is unified;
a data management component: heterogeneous access and multi-source data aggregation are realized, and the data are uniformly stored in a real-time database, a time sequence database and a relational database according to categories;
a configuration management component: the visual page is constructed in a dragging and pulling and low-code mode, a 2D designer and a 3D designer are used for integrating rich industrial graphic primitive drawing libraries and controls, and a user-defined user script and a user-defined graphic primitive are used for developing to greatly expand the functional range of the configuration page;
alarm center subassembly: and the alarm management is used for uniformly collecting, displaying and analyzing all alarm information of the platform. The system comprises a bottom layer device alarm, a system health alarm, an AI analysis alarm, a user defined alarm and the like, and alarm information is provided externally through a chart and an interface mode;
an event management component: the event management component uniformly manages all operation events (issuing control), system events (deployment configuration, newly-built pictures), interface access and the like of the full platform, is used for auditing and examining, and can inform a user according to rules.
Preferably, the steelmaking operation navigation comprises the following subsystems:
and (3) molten iron pretreatment operation navigation: see FIG. 3: the operation navigation schematic diagram of the molten iron pretreatment is that the molten iron pretreatment is divided into 5 subsystems of desulfurization, slag skimming, charging, trolley and temperature measurement, and the operation flow of each subsystem is connected, the operation authority is switched, the operation place is changed, and other information prompts, overview and the like are carried out;
and (3) converter operation navigation: see FIG. 2: the converter operation navigation schematic diagram comprises 7 subsystems such as a converter body, an oxygen lance, a sublance, argon blowing after the converter, dust removal, auxiliary materials, alloys and the like, wherein the subsystems are linked in operation flow, switched in operation permission, changed in operation place, failed and timely fed back to an operator to prompt the operator to perform next operation, overview of the operation flow and the like.
And (3) navigation of refining operation: see fig. 4, 5: the refining LF furnace operation navigation schematic diagram is divided into LF operation navigation and RH operation navigation, each refining station is divided into 4 subsystems such as heating, wire feeding, trolley and top lance, and each subsystem is connected in operation flow, switched in operation permission, changed in operation place and timely fed back to an operator when a fault occurs to prompt the operator to perform next operation, overview of operation flow and the like.
Navigation of continuous casting operation: see FIG. 6: the continuous casting operation navigation schematic diagram is divided into 5 subsystems such as a common subsystem, a sector section, a dummy bar, a cutting machine and a roller way, and the subsystems are connected in operation flow, switched in operation authority, changed in operation place and failed and fed back to an operator in time to prompt the operator to carry out next operation, overview of the operation flow and the like.
Preferably, the steelmaking zone indication comprises the following subsystems:
pretreating molten iron: the number of the slagging-off position molten iron treatment, the number of the molten iron tank, the temperature of the molten iron, the stirring time, the molten iron desulphurization ratio, the total amount of the on-duty/off-duty molten iron and the like;
converter: see FIG. 7: the converter area schematic diagram is characterized in that key production parameters of key information such as the number of a current smelting furnace, the steel type, the iron-steel ratio, the main alloy consumption, the actual performance and standard of temperature and components, the components and standard of argon blowing after the furnace, the estimated tapping time and the like are prompted to an operator and a basic level manager by taking a shift as a unit.
Refining: see fig. 8: the refining area schematic diagram is used for prompting key information such as a furnace number, a steel grade, a ladle number, a smelting period schedule, a processing bit temperature, estimated tapping time, a post-tapping path and the like of the current refining furnace by taking a class as a unit and key production parameters to an operator and a basic level manager.
Continuous casting: see FIG. 9: the schematic diagram of the continuous casting area, the heat number, the steel grade, the ladle number, the ladle weight, the temperature of the ladle and the tundish, the superheat degree, the casting starting time, the casting residual time, the arrival time of the next heat, the pulling speed of 7 flows and the like of the casting time prompt the operator and the basic level manager about the key information and the key parameters of the continuous casting.
Preferably, the steel plant indication comprises the following subsystems:
production planning and actual achievement: production plan of each procedure, furnace number of each procedure, casting number, tapping (casting) residual time and estimated tapping time, as shown in fig. 10;
yield and quality: the surface quality of the plate blank, such as transverse crack, longitudinal crack, angular crack, bulging and the like, is displayed, statistics and management are carried out according to teams and moon bottoms, and the monthly average good value, the worst value, the best value and the like are displayed, as shown in fig. 11;
cost: the furnace number cost, the class cost, the daily cost and the week cost of the converter are displayed, the continuous casting slab cost, the daily cost and the week cost are displayed, and the structure analysis of the furnace number and the slab cost is carried out, and the like, as shown in figure 12.
Preferably, data fusion includes, but is not limited to:
steel making L3: key information such as planning numbers of all processes in steelmaking, manufacturing command numbers, smelting numbers, steel grades, manufacturing standards, process starting time, process finishing time, component actual performance, standards and the like;
converter L2: the furnace number, steel type, ladle number, scrap steel weight, molten iron weight, total smelting time, estimated smelting end time, end point carbon content and temperature, the three types and the weights with the largest consumption of the alloy of the furnace, the furnace number after the furnace, the molten steel weight, the temperature, the components, the standards and the like;
refining L2: furnace number, steel type, package number, power consumption, temperature, total processing time, estimated ending time, sample components and the like;
continuous casting L2: steel grade, heat, ladle number, arrival time, superheat degree, casting starting time, casting residual time, ladle weight, continuous tundish temperature measurement, manual tundish temperature measurement, pull speed of 7 streams and the like.
In the description of the present application, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present application.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A steelmaking centralized control system based on industrial Internet is characterized by comprising:
operating the navigation module: making operation standardization and operation flow standardization, and guiding the operation of a centralized control center;
an area indication module: fusing regional data comprising process, production, equipment and material data and pushing the fused regional data to a relevant responsibility post;
the whole plant indication module: fusing factory-wide data including yield, quality, cost, equipment, security, energy and environmental protection data, and pushing the data to a relevant responsibility post;
a data fusion module: integrating and displaying steel-making L3, molten iron pretreatment L2, converter L2, refining L2 and continuous casting L2;
the data fusion comprises data processing, data aggregation, data association and data storage;
the data processing comprises noise processing and outlier rejection;
the L2, L3 represent process computers and remote computers, respectively.
2. The industrial internet-based steelmaking centralized control system according to claim 1, wherein said operational navigation module comprises:
the molten iron pretreatment operation navigation module: carrying out information prompt and overview on the operation process linkage, operation permission switching and operation site change of the molten iron pretreatment subsystem; the molten iron pretreatment subsystem comprises desulfurization, slagging, charging, trolley and temperature measurement;
the converter operation navigation module: performing operation and operation flow overview on operation flow linkage, operation permission switching, operation site change and fault feedback of a subsystem of the converter; the converter system comprises a converter body, an oxygen lance, a sublance, argon blowing after the converter, dust removal, auxiliary raw materials and alloy,
a refining operation navigation module: performing operation and operation flow overview on operation flow linkage, operation permission switching, operation site change and fault feedback of the refined subsystem; the refining operation navigation module comprises an LF operation navigation module and an RH operation navigation module, and the refining subsystem comprises heating, wire feeding, a trolley and a top lance;
the continuous casting operation navigation module: performing operation and operation flow overview on operation flow connection, operation permission switching, operation site change and fault feedback of the continuous casting subsystem; the continuous casting subsystem comprises a common segment, a fan-shaped segment, a dummy bar, a cutting machine and a roller way.
3. The industrial internet-based steelmaking centralized control system according to claim 1, wherein said area indication module includes:
integrating, fusing data, analyzing and displaying the information of production, process, equipment and energy of molten iron pretreatment, converter, refining and continuous casting processes;
pretreating molten iron: displaying a slagging-off position molten iron treatment number, a molten iron tank number, molten iron temperature, stirring time, molten iron desulphurization ratio and on/off molten iron total amount;
converter: the number of the current smelting furnace, the steel type, the iron-steel ratio, the alloy consumption, the temperature, the actual performance and the standard of the components, the components and the standard of argon blowing after the furnace and the estimated tapping time information are displayed by taking a class as a unit;
refining: the method comprises the steps of displaying a furnace number, a steel type, a ladle number, a smelting period schedule, a processing station temperature, estimated tapping time and post-tapping path information of a current refining furnace by taking a class as a unit;
continuous casting: and showing the number of the furnace, the steel grade, the number of the ladle, the weight of the ladle, the temperatures of the ladle and the tundish, the superheat degree, the casting starting time, the casting residual time, the arrival time of the next furnace and the pulling speed of the production line.
4. The industrial internet-based steelmaking centralized control system according to claim 1, wherein said plant wide indication module comprises:
integrating, fusing data, analyzing and displaying production plans and actual performance, yield, quality and cost information of the steelmaking profession;
production planning and actual achievement: displaying the production plan of each procedure, the furnace number of each procedure, the casting number, the tapping residual time and the estimated tapping time;
quality: displaying the surface quality of the slabs, including transverse cracks, longitudinal cracks, angular cracks and bulging, and statistically displaying according to groups and months;
cost: the method comprises the steps of displaying the furnace number cost, the class cost, the daily cost and the weekly cost of the converter, displaying the continuous casting slab cost, the daily cost and the weekly cost, and analyzing the furnace number and slab cost structure.
5. The industrial internet-based steelmaking centralized control system according to claim 1,
steelmaking L3 includes: planning numbers of all processes of steelmaking, manufacturing command numbers, smelting numbers, steel grades, manufacturing standards, process starting time, process ending time, component actual results and standard information;
converter L2 included: the furnace number, steel type, ladle number, scrap steel weight, molten iron weight, total smelting time, estimated smelting end time, end point carbon content and temperature of the furnace, and the three types and the weights of the maximum consumption of the alloy of the furnace, the furnace number after the furnace, the weight of the molten steel, the temperature, the components and the standards;
refining L2 includes: the furnace number, the steel type, the ladle number, the power consumption, the temperature, the total processing time, the estimated ending time and the sample components;
the continuous casting L2 includes: steel type, heat, ladle number, arrival time, superheat degree, casting starting time, casting residual time, ladle weight, continuous tundish temperature measurement, manual tundish temperature measurement and pull speed of a production line.
6. An industrial internet-based steelmaking centralized control method, which is characterized in that the industrial internet platform-based centralized control system of any one or more of claims 1 to 5 is adopted, and comprises the following steps:
analyzing the steel-making operation: analyzing the operating stations and the operating specifications of all the procedures before centralized control, station planning after centralized control and auxiliary intelligent equipment conditions;
a man-machine interaction step: performing operation navigation, area indication and whole plant indication by adopting an intelligent factory platform configuration component;
system verification and test steps: and carrying out real-time logic verification, off-line test, on-line test and production process optimization on the man-machine interaction data.
7. The industrial internet-based steelmaking centralized control method according to claim 6, wherein the configuration component includes:
digital desktop components: integrating monitoring, process control and production management pictures to realize the unification of C/S and B/S pages;
a data management component: and performing heterogeneous access and data aggregation, and storing the data in a real-time database, a time sequence database and a relational database according to types.
8. The industrial internet-based steelmaking centralized control method according to claim 6, wherein said configuration component further comprises:
a configuration management component: and constructing a visual page by dragging and low-code modes, and integrating an industrial primitive gallery and a control through a 2D (two-dimensional) and 3D (three-dimensional) designer.
9. The industrial internet-based steelmaking centralized control method according to claim 6, wherein said configuration component further comprises:
alarm center subassembly: the alarm information is collected, displayed and analyzed in a unified mode, wherein the alarm information comprises bottom layer equipment alarm, system health alarm, AI analysis alarm and custom alarm, and the alarm information is provided externally in a chart and interface mode;
an event management component: and all operation events, system events and interface access are managed uniformly, and the management is used for auditing and examining and informing a user.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 6 to 9.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024016409A1 (en) * | 2022-07-21 | 2024-01-25 | 中冶南方工程技术有限公司 | Automatic control system for molten iron pretreatment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101964081A (en) * | 2010-09-13 | 2011-02-02 | 中国恩菲工程技术有限公司 | Production information system based on factory management infrastructure platform |
| US20130211559A1 (en) * | 2012-02-09 | 2013-08-15 | Rockwell Automation Technologies, Inc. | Cloud-based operator interface for industrial automation |
| CN103472811A (en) * | 2013-09-27 | 2013-12-25 | 济钢集团有限公司 | Steelmaking second-stage process control system and steelmaking second-stage process control method |
| CN109149765A (en) * | 2018-08-23 | 2019-01-04 | 中国电力工程顾问集团西南电力设计院有限公司 | A kind of unattended method of distributed busbar protection |
| CN109815282A (en) * | 2018-12-03 | 2019-05-28 | 江苏省沙钢钢铁研究院有限公司 | Big data platform of iron-making system |
| KR20200002170A (en) * | 2018-06-29 | 2020-01-08 | 전자부품연구원 | Advanced Operation Method for Industrial Process Equipment System using AutomationML to OPC UA Industry Standard |
-
2020
- 2020-07-16 CN CN202010686643.1A patent/CN113946140A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101964081A (en) * | 2010-09-13 | 2011-02-02 | 中国恩菲工程技术有限公司 | Production information system based on factory management infrastructure platform |
| US20130211559A1 (en) * | 2012-02-09 | 2013-08-15 | Rockwell Automation Technologies, Inc. | Cloud-based operator interface for industrial automation |
| CN103472811A (en) * | 2013-09-27 | 2013-12-25 | 济钢集团有限公司 | Steelmaking second-stage process control system and steelmaking second-stage process control method |
| KR20200002170A (en) * | 2018-06-29 | 2020-01-08 | 전자부품연구원 | Advanced Operation Method for Industrial Process Equipment System using AutomationML to OPC UA Industry Standard |
| CN109149765A (en) * | 2018-08-23 | 2019-01-04 | 中国电力工程顾问集团西南电力设计院有限公司 | A kind of unattended method of distributed busbar protection |
| CN109815282A (en) * | 2018-12-03 | 2019-05-28 | 江苏省沙钢钢铁研究院有限公司 | Big data platform of iron-making system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024016409A1 (en) * | 2022-07-21 | 2024-01-25 | 中冶南方工程技术有限公司 | Automatic control system for molten iron pretreatment |
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