CN111985112A - Blast furnace digital twin system based on Unity3D - Google Patents
Blast furnace digital twin system based on Unity3D Download PDFInfo
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- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
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Abstract
The invention relates to a Unity 3D-based blast furnace digital twin system, which comprises a scene roaming module, an operation scene positioning module, a video monitoring module, a safety alarm feedback module, a self-checking feedback module, a data twin module, a data diagnosis module and a data visualization module, wherein the data twin module is used for carrying out intelligent processing, universe perception and operation monitoring on data returned by blast furnace monitoring equipment, integrating historical accumulated data for operation and carrying out visualization processing on the data through a three-dimensional space; the system is convenient for users to overview the panoramic structure of the steel mill by establishing the model of the virtual environment of the steel mill, so that the roaming of the virtual environment of the steel mill is realized; the method comprises the steps of establishing a high-precision blast furnace body three-dimensional model, reducing the operation process flow of the blast furnace body by using a three-dimensional visualization technology, realizing that a user visually observes the operation effect of the blast furnace body through a virtual environment, and ensuring the safe and stable operation of the blast furnace.
Description
Technical Field
The invention relates to the technical field of three-dimensional visualization, in particular to a Unity 3D-based blast furnace digital twin system.
Background
At present, in the actual scene of blast furnace operation of a steel company, the understanding and observation of operators on physical entities have limitations, and the operation which cannot be completed due to the limitation of a plurality of field physical conditions and the dependence on real physical entities can be improved as long as the measurement can be theoretically performed, which is a constant true principle in the industrial field. Whether designed, manufactured or serviced, there is a need for accurate measurement of various attributes, parameters and operating conditions of physical entities to achieve accurate analysis and optimization. However, the conventional measurement method must rely on expensive physical measurement tools, such as sensors, acquisition systems, detection systems, etc., to obtain effective measurement results, which will definitely limit the measurement coverage, and is often ineffective for many indexes that cannot directly acquire measurement values.
The existing product life cycle management can rarely realize accurate prediction, so that the problem hidden under the appearance can not be predicted in advance. In the traditional industrial design, manufacture and service field, the experience is often a fuzzy and hard-to-grasp form, which is hard to be taken as the basis of accurate judgment.
Disclosure of Invention
Aiming at the situation, the invention provides a Unity 3D-based blast furnace digital twin system, which is convenient for users to overview the panoramic structure of a steel mill by establishing a steel mill virtual environment model and realizes the roaming of the steel mill virtual environment; the method comprises the steps of establishing a high-precision blast furnace body three-dimensional model, reducing the operation process flow of the blast furnace body by using a three-dimensional visualization technology, realizing that a user visually observes the operation effect of the blast furnace body through a virtual environment, and ensuring the safe and stable operation of the blast furnace.
The specific scheme of the invention is as follows: a blast furnace digital twin system based on Unity3D comprises a scene roaming module, an operation scene positioning module, a video monitoring module, a safety alarm feedback module, a self-checking feedback module, a data twin module, a data diagnosis module and a data visualization module, wherein:
the scene roaming module: the system is used for controlling the viewpoint and the visual angle through a mouse and a keyboard by a user and roaming in a three-dimensional scene;
the operation scene positioning module: the selector is used for classifying the scenes, classifying each area in different scenes and then loading the areas according to different classifications;
the video monitoring module: the system is used for the construction of a safety technology prevention system, all conditions of a monitored site are directly watched through a remote control camera and auxiliary equipment thereof, the conditions of equipment in the area near a blast furnace are compared and observed in real time through a video monitoring function, and early warning processing is carried out on abnormal information;
the safety alarm feedback module: the system is used for visually displaying and feeding back alarm information;
the self-checking feedback module: the system is used for maintaining each business process of blast furnace feeding, material distribution, in-furnace smelting, tapping, gas dust removal, air supply and coal injection, storing the current equipment data to a database and displaying the data in a three-dimensional form;
the data twinning module: the system is used for carrying out intelligent processing, global sensing and operation monitoring on data returned by the blast furnace monitoring equipment and integrating historical accumulated data for operation.
Further, the scene roaming module in the present invention includes manual roaming and automatic roaming, wherein: the manual roaming is used for an operator to check the working situation of the blast furnace area in the three-dimensional space; the automatic roaming is used for the fixed path set by an operator to carry out circulating roaming on various operation areas of blast furnace feeding, material distribution, smelting in the furnace, tapping, gas dust removal, air supply and coal injection.
Further, the scene positioning module in the invention comprises blast furnace panoramic positioning, feeding system positioning, furnace top system positioning, blast furnace body positioning, slag iron system positioning, air supply system positioning and coal gas dust removal system positioning, wherein:
the blast furnace panoramic positioning is used for summarizing the smelting process of the whole blast furnace production period so as to achieve the purposes of monitoring and routing inspection;
the feeding system is positioned and used for tracking batch number, name, color and price information of each batch of materials and visually displaying the technological process from feeding to discharging of each batch of materials in a virtual scene;
the furnace top system is positioned for displaying the carrying condition of each batch of materials from a belt to a valve behind the furnace top, the process of blanking and data display of the tank;
the blast furnace body positioning is used for displaying the smelting process in the furnace with the blast furnace body as a core and consists of the distribution of smelting areas in the furnace, the area of a tuyere, real-time data in the furnace and furnace condition grading;
the slag iron system is positioned and used for displaying the flow of loading the slag and the molten iron after smelting is finished, and then, smelting again through other process flows, and displaying the slag iron notch around the blast furnace and the real-time slag iron data;
the air supply system is positioned and used for displaying the state of the hot blast stove, the data of the hot blast stove and the flow direction of coal gas, and cold air of a blower and oxygen of an oxygen pipeline are sent to the hot blast stove through an air release valve to be heated to generate hot air which is sent to a blast furnace tuyere, and meanwhile, the generated coal gas is recycled;
the coal gas dust removal system is positioned and used for showing the efficient recovery of the dust remover to energy, the flow direction of coal gas and data in a coal gas pipeline and simulating the filtering condition of the field gravity dust remover to the coal gas.
Further, the video monitoring module of the present invention includes area distribution query and fixed point area query, wherein:
the area distribution query is used for querying the monitoring area range;
the fixed-point region query is used for directly watching all conditions of the monitored site through the system, and the conditions of the devices in the region near the blast furnace can be compared and observed in real time through the video monitoring function.
Further, the safety alarm feedback module in the invention comprises blast furnace state monitoring and fault feedback processing, wherein:
the blast furnace state monitoring is used for accessing L3 level data from a database, processing the data according to data information returned by monitoring equipment near the blast furnace through data twin and displaying the processed data through three-dimensional visualization;
and the fault feedback processing is used for diagnosing and analyzing the current fault according to the database by the system after the monitoring equipment receives the fault information, calculating an optimal solution and displaying the optimal solution through three-dimensional visualization.
Further, the self-check feedback module in the invention comprises current state self-check and historical state query, wherein the current state self-check and the historical state query
The current state self-checking is used for self-checking the current state of the blast furnace body through L3 level data feedback after the blast furnace is overhauled and displaying the current state through a two-dimensional space;
and the historical state query is used for comparing the current abnormity after the blast furnace is abnormal and comparing the historical data through the database.
Further, the data twin module in the present invention includes data diagnosis, abnormal data simulation and data visualization, wherein:
the data diagnosis is used for diagnosing and analyzing data provided by a system or a third party;
the abnormal data simulation is used for analyzing, sampling and simulating abnormal data and early warning possible abnormal positions;
the data visualization: the method is used for bidirectional mapping, dynamic interaction and real-time data connection between the virtual space and the real space, and is displayed according to real-time data through a model and a special effect in a three-dimensional space.
Compared with the prior art, the invention has the following beneficial effects:
the invention maps various attributes of physical equipment into a virtual space by various digital means such as design tools, simulation tools, Internet of things, virtual reality and the like to form a digital mirror image which can be disassembled, copied, transferable, modifiable, deleteable and repeatedly operated, thereby greatly accelerating the understanding of operators on physical entities, and enabling a plurality of operations which cannot be finished originally because of the limitation of physical conditions and must depend on real physical entities, such as simulation, batch copying, virtual assembly and the like, to become a tool which can be reached by touch, and further arousing people to explore new ways to optimize design, manufacture and service.
② the improvement can be realized as long as the measurement can be carried out, which is a real principle that the industrial field is not changed. Whether designed, manufactured or serviced, there is a need for accurate measurement of various attributes, parameters and operating conditions of physical entities to achieve accurate analysis and optimization. However, the conventional measurement method must rely on expensive physical measurement tools, such as sensors, acquisition systems, detection systems, etc., to obtain effective measurement results, which will definitely limit the measurement coverage, and is often ineffective for many indexes that cannot directly acquire measurement values. The system can be used for conjecturing some indexes which cannot be directly measured originally by machine learning by means of the internet of things and a big data technology through collecting limited direct data of physical sensor indexes and by means of a big sample library.
The existing product life cycle management can rarely realize accurate prediction, so that the problem hidden under the appearance can not be predicted in advance. The digital twin can combine data acquisition, big data processing and artificial intelligent modeling analysis of the Internet of things to realize the evaluation of the current state, the diagnosis of problems occurring in the past and the prediction of future trends, and gives analysis results to simulate various possibilities and provide more comprehensive decision support.
In the traditional industrial design, manufacture and service field, the experience is often a fuzzy and hard-to-grasp form, and the experience is hard to be taken as a basis for accurate judgment. The key progress of the system of the invention is that the expert experience which cannot be saved originally can be digitalized by means of digitalization, and the capability of saving, copying, modifying and transferring is provided.
Drawings
FIG. 1 is a block diagram of the system architecture of the present invention;
FIG. 2 is a schematic diagram of a normal finding of three points on a plane according to an embodiment of the present invention;
FIG. 3 is a graph of the dynamics of real-time data of furnace conditions in an embodiment of the present invention.
Detailed Description
The present invention is further illustrated by the following examples, which are not to be construed as limiting the invention.
Referring to fig. 1, the invention relates to a Unity 3D-based blast furnace digital twin system, which comprises a scene roaming module, an operation scene positioning module, a video monitoring module, a safety alarm feedback module, a self-checking feedback module, a data twin module, a data diagnosis module and a data visualization module, wherein:
the scene roaming module: the system is used for controlling the viewpoint and the visual angle through a mouse and a keyboard by a user and roaming in a three-dimensional scene;
the operation scene positioning module: the selector is used for classifying the scenes, classifying each area in different scenes and then loading the areas according to different classifications;
the video monitoring module: the system is used for the construction of a safety technology prevention system, all conditions of a monitored site are directly watched through a remote control camera and auxiliary equipment thereof, the conditions of equipment in the area near a blast furnace are compared and observed in real time through a video monitoring function, and early warning processing is carried out on abnormal information;
the safety alarm feedback module: the system is used for visually displaying and feeding back alarm information;
the self-checking feedback module: the system is used for maintaining each business process of blast furnace feeding, material distribution, in-furnace smelting, tapping, gas dust removal, air supply and coal injection, storing the current equipment data to a database and displaying the data in a three-dimensional form;
the data twinning module: the system is used for carrying out intelligent processing, global sensing and operation monitoring on data returned by the blast furnace monitoring equipment and integrating historical accumulated data for operation.
Each function module is subdivided into different operation interfaces according to different functions, the operation interfaces comprise a blast furnace digital twin data source and a blast furnace data description, the data peak value and the production condition of each working area during the operation of the blast furnace are dynamically and visually displayed, and the function modules provided by the system interface are specifically displayed on a client side provided by a blast furnace digital twin system.
Further, in this embodiment, the scene roaming module includes a manual roaming and an automatic roaming, where: the manual roaming is used for an operator to check the working situation of the blast furnace area in the three-dimensional space; the automatic roaming is used for the fixed path set by an operator to carry out circulating roaming on various operation areas of blast furnace feeding, material distribution, smelting in the furnace, tapping, gas dust removal, air supply and coal injection.
The automatic roaming is used for a user to really know the construction process of the blast furnace, firstly, a blast furnace factory building, a blast furnace body and a peripheral three-dimensional entity model are constructed, and the effects of sky, fog and the like in a virtual scene of a steel mill are simulated to increase the reality degree of the scene; on the basis, the three-dimensional roaming technology, the collision detection technology, the real-time shadow, the virtual environment and the like are combined, the simulation of the scene depth is realized, and the reality degree of the scene is improved.
The manual roaming is used for the user to immerse and autonomously roam and check in the blast furnace area at a first person viewing angle, so that the production process of the blast furnace is known, and meanwhile, a certain early warning effect is achieved in the face of emergency.
Further, in this embodiment the scene positioning module includes blast furnace panorama location, feeding system location, furnace roof system location, blast furnace body location, slag iron system location, air supply system location, coal gas dust pelletizing system location, wherein:
the blast furnace panoramic positioning is used for the overall situation of user overview, and based on the geographic information of a blast furnace area, the left side is an operation navigation area which comprises a panoramic view angle, a blast furnace scene and a navigation menu for video monitoring; the upper part is an information distribution area, and the lower part is a blast furnace real-time parameter trend area; the design concept is based on the combination of an operation control center, an operation centralized control center and a blast furnace site.
The feeding system is positioned and used for a user to know the whole feeding process, based on geographic information of a feeding area, the center of a screen is a material feeding area, the running condition of current equipment is displayed below a main belt, the feeding of materials and the running condition of the equipment request background data according to HttpWebRequest, after the information is returned according to the data, the currently played animation segment is judged through an Animator animation controller so as to realize the process of material feeding, a mobile tag moves along with the materials in the process of material feeding, and the tag displays basic information of the current materials.
The furnace top System is positioned and used for positioning and tracking feeding, the center of a user is a region for processing the materials by the furnace top, the main belt carries each batch of materials to the furnace top, the http WebRequest requests background data to control an upper sealing valve, a material flow valve, a lower sealing valve, whether the materials are discharged or not and virtual data display of a material tank according to the background data, meanwhile, a Particle System and a Rigidody component are used for simulating the special effect of material discharging, and a plurality of normal vectors (the vector is vertical to the plane) in Unity are used for generating mesh and tracking paths. Given 3 points on a plane, i.e. points on the corners of a triangular mesh (mesh triangle), the normal is easy to find: any one of the 3 points is used, and then the other two points are subtracted to obtain two vectors, which is specifically realized as shown in fig. 2.
The blast furnace body is positioned and used for displaying components such as smelting area distribution in the furnace, a tuyere area, real-time data in the furnace, furnace condition scores and the like, so that a user can more visually know the smelting process in the whole furnace, the central area of a screen is the integral operation visual angle of the blast furnace, the current furnace condition and the scores of the blast furnace are displayed at the upper right corner, the real-time data curve diagram of the furnace condition is displayed at the lower part, the current operation condition of the blast furnace can be visually displayed by a dynamic curve diagram, and the specific implementation is as shown in figure 3.
The slag iron system is positioned and used for displaying the discharge, flow direction and canning data of molten iron, each slag iron notch is provided with a corresponding tank car for carrying the molten iron, corresponding iron notch slag iron data can be checked by clicking different iron outlets and displayed through a three-dimensional model and a special effect, and the molten iron data and the loading condition of the iron can are displayed at corresponding positions through three-dimensional visual labels.
And the air supply system is positioned and used for displaying the state display of the hot blast stove, the data display of the hot blast stove, the gas flow direction display and the like. Cold air of a blower and oxygen of an oxygen pipeline are sent to a hot blast stove through an air release valve to be heated to generate hot air, the hot air is sent to a blast furnace tuyere, meanwhile, generated coal gas is recycled, an air supply track is displayed through a virtual dynamic virtual label, the oxygen and the coal gas are distinguished by colors through special effect treatment, and data such as air volume, temperature in the stove and the like of the hot blast stove are dynamically displayed above the hot blast stove.
The coal gas dust removal system is positioned and used for mainly showing the effects of efficient energy recovery of the dust remover, the flow direction of coal gas, data in a coal gas pipeline, coal gas filtration of a simulated field gravity dust remover and the like by the dust remover, and the whole treatment process of the coal gas is combined by special effect animation and model animation and is shown through dynamic data.
Further, in this embodiment, the video monitoring module includes a region distribution query and a fixed point region query, where:
the region distribution is used for dividing monitoring regions, facilitating region query of users, caching IDs (identity) of bottom monitoring equipment through a List, querying corresponding sub-stream codes through monitoring ID accounts provided by the users, corresponding names and IDs through a dictionary, simultaneously setting up monitoring module layout through a UI (user interface) system of the Unity, and calling triggering videos through evensysm events.
And the fixed point region query is used for accurately querying the video of a certain monitoring or region by the user and carrying out fuzzy query by comparing the related information input by the user with the ID stored in the dictionary.
Further, in this embodiment, the safety alarm feedback module includes a blast furnace status monitoring module and a fault feedback processing module, wherein:
the blast furnace state monitoring is used for monitoring data and state abnormity during the operation of the whole blast furnace, in order to avoid irreparable loss during the operation of the blast furnace, L3 level data is accessed from a database, prompt is carried out according to data information returned by monitoring equipment near the blast furnace, danger information prompt is carried out on a main interface, and prompt is carried out near the blast furnace through a UI.
And the fault feedback processing is used for grading the faults by accessing L3 grade data during the operation of the blast furnace and prompting the faults through characters or special effects.
Further, in this embodiment, the self-check feedback module includes a current state self-check and a historical state query, where:
the current state self-checking device is used for ensuring that all data indexes of the current blast furnace reach a normal state during operation, comparing all data of the current blast furnace through normal blast furnace data provided by a user, distinguishing abnormal indexes after screening, and displaying the abnormal indexes through a specified area.
And the historical state query is used for querying the data of the blast furnace operation state in the past time period by a user, storing the data in each time period through a dictionary and performing historical query.
Further, in this embodiment, the data twin module includes data diagnosis, abnormal data simulation, and data visualization, where:
and the data diagnosis is used for carrying out preliminary analysis on the data provided by the database, detecting abnormal data and dynamically broadcasting in a designated area of the screen.
And the abnormal data simulation is used for diagnosing the current abnormal data according to the historical data rule by the system, carrying out alarm processing on the abnormal part when several kinds of abnormal data conform to the historical rule, and dynamically displaying through a model and a special effect.
The data visualization is used for clearly and effectively transmitting information required to be displayed by means of a graphical means, the database data is dynamically displayed in a three-dimensional visualization mode through a geometric technology, a pixel-oriented technology, an icon-based technology, a hierarchy-based technology, an image-based technology, a distributed technology and the like, and a blast furnace digital twin system is completed in a mode of combining a plurality of modes such as adding model animation, special effect animation, particle special effect, physical animation, intelligent data identification and the like through the database data.
While the foregoing is directed to the preferred embodiment of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
According to the invention, various attributes of physical equipment are mapped into a virtual space through various digital means such as a design tool, a simulation tool, an Internet of things, virtual reality and the like, so that a digital mirror image which can be disassembled, copied, transferred, modified, deleted and repeatedly operated is formed, the understanding of an operator on a physical entity is greatly accelerated, and a plurality of original operations which cannot be finished due to the limitation of physical conditions and must depend on a real physical entity, such as simulation, batch copying, virtual assembly and the like, can become a tool which can be reached by touch, and can further stimulate people to explore a new way to optimize design, manufacture and service.
It is a constant rationale in the industrial field that it can be improved as long as it can be measured. Whether designed, manufactured or serviced, there is a need for accurate measurement of various attributes, parameters and operating conditions of physical entities to achieve accurate analysis and optimization. However, the conventional measurement method must rely on expensive physical measurement tools, such as sensors, acquisition systems, detection systems, etc., to obtain effective measurement results, which will definitely limit the measurement coverage, and is often ineffective for many indexes that cannot directly acquire measurement values. The system can be used for conjecturing some indexes which cannot be directly measured originally by machine learning by means of the internet of things and a big data technology through collecting limited direct data of physical sensor indexes and by means of a big sample library.
The existing product life cycle management can rarely realize accurate prediction, so that the problem hidden under the appearance can not be predicted in advance. The digital twin can combine data acquisition, big data processing and artificial intelligent modeling analysis of the Internet of things to realize the evaluation of the current state, the diagnosis of problems occurring in the past and the prediction of future trends, and gives analysis results to simulate various possibilities and provide more comprehensive decision support.
In the traditional industrial design, manufacture and service field, the experience is often a fuzzy and hard-to-grasp form, which is hard to be taken as the basis of accurate judgment. The key progress of the system of the invention is that the expert experience which cannot be saved originally can be digitalized by means of digitalization, and the capability of saving, copying, modifying and transferring is provided.
Claims (7)
1. A blast furnace digital twinning system based on Unity3D is characterized in that: including scene roaming module, operation scene orientation module, video monitoring module, safety warning feedback module, self-checking feedback module, data twin module, data diagnosis module and data visualization module, wherein:
the scene roaming module: the system is used for controlling the viewpoint and the visual angle through a mouse and a keyboard by a user and roaming in a three-dimensional scene;
the operation scene positioning module: the selector is used for classifying the scenes, classifying each area in different scenes and then loading the areas according to different classifications;
the video monitoring module: the system is used for the construction of a safety technology prevention system, all conditions of a monitored site are directly watched through a remote control camera and auxiliary equipment thereof, the conditions of equipment in the area near a blast furnace are compared and observed in real time through a video monitoring function, and early warning processing is carried out on abnormal information;
the safety alarm feedback module: the system is used for visually displaying and feeding back alarm information;
the self-checking feedback module: the system is used for maintaining each business process of blast furnace feeding, material distribution, in-furnace smelting, tapping, gas dust removal, air supply and coal injection, storing the current equipment data to a database and displaying the data in a three-dimensional form;
the data twinning module: the system is used for carrying out intelligent processing, global sensing and operation monitoring on data returned by the blast furnace monitoring equipment and integrating historical accumulated data for operation.
2. The Unity 3D-based blast furnace digital twinning system as claimed in claim 1, wherein: the scene roaming module comprises manual roaming and automatic roaming, wherein: the manual roaming is used for an operator to check the working situation of the blast furnace area in the three-dimensional space; the automatic roaming is used for the fixed path set by an operator to carry out circulating roaming on various operation areas of blast furnace feeding, material distribution, smelting in the furnace, tapping, gas dust removal, air supply and coal injection.
3. The Unity 3D-based blast furnace digital twinning system as claimed in claim 1, wherein: scene orientation module, including blast furnace panorama location, feeding system location, furnace roof system location, blast furnace body location, slag iron system location, air supply system location, coal gas dust pelletizing system location, wherein:
the blast furnace panoramic positioning is used for summarizing the smelting process of the whole blast furnace production period so as to achieve the purposes of monitoring and routing inspection;
the feeding system is positioned and used for tracking batch number, name, color and price information of each batch of materials and visually displaying the technological process from feeding to discharging of each batch of materials in a virtual scene;
the furnace top system is positioned for displaying the carrying condition of each batch of materials from a belt to a valve behind the furnace top, the process of blanking and data display of the tank;
the blast furnace body positioning is used for displaying the smelting process in the furnace with the blast furnace body as a core and consists of the distribution of smelting areas in the furnace, the area of a tuyere, real-time data in the furnace and furnace condition grading;
the slag iron system is positioned and used for displaying the flow of loading the slag and the molten iron after smelting is finished, and then, smelting again through other process flows, and displaying the slag iron notch around the blast furnace and the real-time slag iron data;
the air supply system is positioned and used for displaying the state of the hot blast stove, the data of the hot blast stove and the flow direction of coal gas, and cold air of a blower and oxygen of an oxygen pipeline are sent to the hot blast stove through an air release valve to be heated to generate hot air which is sent to a blast furnace tuyere, and meanwhile, the generated coal gas is recycled;
the coal gas dust removal system is positioned and used for showing the efficient recovery of the dust remover to energy, the flow direction of coal gas and data in a coal gas pipeline and simulating the filtering condition of the field gravity dust remover to the coal gas.
4. The Unity 3D-based blast furnace digital twinning system as claimed in claim 1, wherein: the video monitoring module comprises area distribution query and fixed point area query, wherein:
the area distribution query is used for querying the monitoring area range;
the fixed-point region query is used for directly watching all conditions of the monitored site through the system, and the conditions of the devices in the region near the blast furnace can be compared and observed in real time through the video monitoring function.
5. The Unity 3D-based blast furnace digital twinning system as claimed in claim 1, wherein: the safety alarm feedback module comprises a blast furnace state monitoring and fault feedback processing, wherein:
the blast furnace state monitoring is used for accessing L3 level data from a database, processing the data according to data information returned by monitoring equipment near the blast furnace through data twin and displaying the processed data through three-dimensional visualization;
and the fault feedback processing is used for diagnosing and analyzing the current fault according to the database by the system after the monitoring equipment receives the fault information, calculating an optimal solution and displaying the optimal solution through three-dimensional visualization.
6. The Unity 3D-based blast furnace digital twinning system as claimed in claim 1, wherein: the self-checking feedback module comprises current state self-checking and historical state inquiry, wherein
The current state self-checking is used for self-checking the current state of the blast furnace body through L3 level data feedback after the blast furnace is overhauled and displaying the current state through a two-dimensional space;
and the historical state query is used for comparing the current abnormity after the blast furnace is abnormal and comparing the historical data through the database.
7. The Unity 3D-based blast furnace digital twinning system as claimed in claim 1, wherein: the data twinning module comprises data diagnosis, abnormal data simulation and data visualization, wherein:
the data diagnosis is used for diagnosing and analyzing data provided by a system or a third party;
the abnormal data simulation is used for analyzing, sampling and simulating abnormal data and early warning possible abnormal positions;
the data visualization: the method is used for bidirectional mapping, dynamic interaction and real-time data connection between the virtual space and the real space, and is displayed according to real-time data through a model and a special effect in a three-dimensional space.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112435328A (en) * | 2020-11-30 | 2021-03-02 | 中冶南方工程技术有限公司 | Three-dimensional visualization method for traveling operation of steelmaking workshop, terminal equipment and storage medium |
| CN112435327A (en) * | 2020-11-30 | 2021-03-02 | 中冶南方工程技术有限公司 | Three-dimensional visualization method for operation of stock yard stacker-reclaimer, terminal equipment and storage medium |
| CN112560263A (en) * | 2020-12-11 | 2021-03-26 | 太原理工大学 | Mobile robot state monitoring and maintenance system based on digital twins |
| CN112817282A (en) * | 2020-12-28 | 2021-05-18 | 杭州哲达科技股份有限公司 | Blast furnace top pressure control loop parameter optimization method based on digital twin system |
| CN113850424A (en) * | 2021-09-17 | 2021-12-28 | 中控智网(北京)能源技术有限公司 | Industrial strategy processing method, device, equipment and storage medium |
| CN114185976A (en) * | 2021-11-01 | 2022-03-15 | 中冶南方工程技术有限公司 | Visual intelligent perception platform of blast furnace |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190058875A1 (en) * | 2016-01-21 | 2019-02-21 | Hangzhou Hikvision Digital Technology Co., Ltd. | Three-Dimensional Surveillance System, and Rapid Deployment Method for Same |
| CN109543230A (en) * | 2018-10-24 | 2019-03-29 | 中国矿业大学 | Heavy media coal separation dummy emulation system and method based on Unity3D |
| CN109613895A (en) * | 2018-11-12 | 2019-04-12 | 中国电子科技集团公司第三十八研究所 | A kind of intelligence production line number twinned system |
| WO2019076234A1 (en) * | 2017-10-17 | 2019-04-25 | 广东工业大学 | Transparent monitoring method and system for intelligent workshop |
| CN110320873A (en) * | 2019-07-05 | 2019-10-11 | 武汉魅客科技有限公司 | A kind of real-time three-dimensional presentation system based on distributed sensor |
| CN110333698A (en) * | 2019-03-30 | 2019-10-15 | 广东利元亨智能装备股份有限公司 | Factory management system and its method based on the twin platform of number |
| US20200103894A1 (en) * | 2018-05-07 | 2020-04-02 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for computerized maintenance management system using the industrial internet of things |
| CN111077797A (en) * | 2019-12-04 | 2020-04-28 | 南京维睛视空信息科技有限公司 | Automobile assembly line digital twinning method based on PLC data |
| CN111161410A (en) * | 2019-12-30 | 2020-05-15 | 中国矿业大学(北京) | Mine digital twinning model and construction method thereof |
| CN111210359A (en) * | 2019-12-30 | 2020-05-29 | 中国矿业大学(北京) | Intelligent mine scene oriented digital twin evolution mechanism and method |
-
2020
- 2020-08-27 CN CN202010874273.4A patent/CN111985112B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190058875A1 (en) * | 2016-01-21 | 2019-02-21 | Hangzhou Hikvision Digital Technology Co., Ltd. | Three-Dimensional Surveillance System, and Rapid Deployment Method for Same |
| WO2019076234A1 (en) * | 2017-10-17 | 2019-04-25 | 广东工业大学 | Transparent monitoring method and system for intelligent workshop |
| US20200103894A1 (en) * | 2018-05-07 | 2020-04-02 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for computerized maintenance management system using the industrial internet of things |
| CN109543230A (en) * | 2018-10-24 | 2019-03-29 | 中国矿业大学 | Heavy media coal separation dummy emulation system and method based on Unity3D |
| CN109613895A (en) * | 2018-11-12 | 2019-04-12 | 中国电子科技集团公司第三十八研究所 | A kind of intelligence production line number twinned system |
| CN110333698A (en) * | 2019-03-30 | 2019-10-15 | 广东利元亨智能装备股份有限公司 | Factory management system and its method based on the twin platform of number |
| CN110320873A (en) * | 2019-07-05 | 2019-10-11 | 武汉魅客科技有限公司 | A kind of real-time three-dimensional presentation system based on distributed sensor |
| CN111077797A (en) * | 2019-12-04 | 2020-04-28 | 南京维睛视空信息科技有限公司 | Automobile assembly line digital twinning method based on PLC data |
| CN111161410A (en) * | 2019-12-30 | 2020-05-15 | 中国矿业大学(北京) | Mine digital twinning model and construction method thereof |
| CN111210359A (en) * | 2019-12-30 | 2020-05-29 | 中国矿业大学(北京) | Intelligent mine scene oriented digital twin evolution mechanism and method |
Non-Patent Citations (4)
| Title |
|---|
| CHAN QIU, SHIEN ZHOU, ZHENYU LIU, QI GAO, JIANRONG TAN: "Digital assembly technology based on augmented reality and digital twins: a review", 《VIRTUAL REALITY & INTELLIGENT HARDWARE》, pages 597 - 610 * |
| 张伟;: "数字孪生在智能装备制造中的应用研究", 现代信息科技, no. 08, pages 205 - 206 * |
| 徐钢;黎敏;徐金梧;贾春辉;陈兆富;: "基于函数型数字孪生模型的转炉炼钢终点碳控制技术", 工程科学学报, no. 04, pages 108 - 114 * |
| 王素琳;盛园田;李舒;: "奔跑在新时代的追梦路上――鄂城钢铁创建绿色智慧型城市钢厂之实践探索", 冶金企业文化, no. 04, pages 58 - 60 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112435328A (en) * | 2020-11-30 | 2021-03-02 | 中冶南方工程技术有限公司 | Three-dimensional visualization method for traveling operation of steelmaking workshop, terminal equipment and storage medium |
| CN112435327A (en) * | 2020-11-30 | 2021-03-02 | 中冶南方工程技术有限公司 | Three-dimensional visualization method for operation of stock yard stacker-reclaimer, terminal equipment and storage medium |
| CN112560263A (en) * | 2020-12-11 | 2021-03-26 | 太原理工大学 | Mobile robot state monitoring and maintenance system based on digital twins |
| CN112560263B (en) * | 2020-12-11 | 2023-02-03 | 太原理工大学 | Mobile robot state monitoring and maintenance system based on digital twins |
| CN112817282A (en) * | 2020-12-28 | 2021-05-18 | 杭州哲达科技股份有限公司 | Blast furnace top pressure control loop parameter optimization method based on digital twin system |
| CN112817282B (en) * | 2020-12-28 | 2022-05-10 | 杭州哲达科技股份有限公司 | Blast furnace top pressure control loop parameter optimization method based on digital twin system |
| CN113850424A (en) * | 2021-09-17 | 2021-12-28 | 中控智网(北京)能源技术有限公司 | Industrial strategy processing method, device, equipment and storage medium |
| CN114185976A (en) * | 2021-11-01 | 2022-03-15 | 中冶南方工程技术有限公司 | Visual intelligent perception platform of blast furnace |
| CN114185976B (en) * | 2021-11-01 | 2024-03-26 | 中冶南方工程技术有限公司 | Visual intelligent perception platform of blast furnace |
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