CN114253228B - Industrial equipment object modeling method and device based on digital twin - Google Patents
Industrial equipment object modeling method and device based on digital twin Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 6
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- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000009960 carding Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 2
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- 238000007726 management method Methods 0.000 abstract description 4
- 230000005477 standard model Effects 0.000 abstract description 4
- 230000001105 regulatory effect Effects 0.000 abstract description 2
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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]
- G05B19/41885—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 modeling, simulation of the manufacturing system
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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
- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
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Abstract
The invention discloses a modeling method and a modeling device for an industrial equipment object based on digital twinning, which comprise the steps of constructing a standard equipment model based on equipment attribute information and an equipment logic framework; configuring instantiation information of the equipment by referring to a standard equipment model, and constructing a physical model of each equipment; assigning a position identifier and a function identifier to each equipment physical model based on the functions and the positions; mapping the position identifier and the function identifier to obtain the device physical code and the function position code of each device; and associating physical models of all the devices based on the device physical codes and the functional position codes to form a device panoramic data model. According to the invention, through establishing the equipment standard model and associating panoramic service data, the association of service logic and spatial geography panoramic data is realized, industrial big data can be presented in a specific form, industrial equipment can be managed and regulated in real time, and the utilization efficiency of the industrial big data and the operation management efficiency of the equipment are greatly improved.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to an industrial equipment object modeling method and device based on digital twinning.
Background
Along with the rapid development of national economy, various industries are advancing digital twin engineering of mass terminal interconnection, enterprises and industries. The national "two carbon" goal also places higher demands on industry.
The industrial equipment terminal manufacturers, models, communication protocols, management requirements and the like are various, the modeling is not dynamically associated with surrounding data, and the production operation and the safety control of enterprises are not supported.
Some researches are also performed in the prior art, for example, chinese patent application CN111025962a discloses a panoramic view-based indoor visual monitoring method for power transformation and distribution stations, but the panoramic view is a space geographic observation angle, and no service logical panoramic data association is realized.
Therefore, it is necessary to establish a standardized device model based on a digital twin technology, and perform panoramic data association, so as to provide dynamic real-time control and management capability for enterprises.
Disclosure of Invention
In view of the above, the invention provides an industrial equipment object modeling method and device based on digital twinning, which aim to solve the problem that the prior art cannot construct the equivalent and real-time association of equipment physics and virtual, and avoid the technical problems that various physical models of various equipment are disjointed from actual application and business data, so that enterprise equipment is imaged in the Internet of things, and the industrial big data application efficiency is greatly improved.
In order to achieve the technical aim, the technical scheme of the invention comprises the following steps:
an industrial equipment object modeling method based on digital twinning comprises the following steps:
1) Constructing a standard equipment model based on the equipment attribute information and the equipment logic framework;
2) Configuring instantiation information of the equipment by referring to a standard equipment model, constructing a physical model of each equipment, and giving a position identifier and a function identifier to each equipment physical model based on the functions and the positions;
3) And mapping the position identifier and the function identifier to obtain the equipment physical code and the function position code of each equipment, and associating the physical model of each equipment based on the equipment physical code and the function position code to form an equipment panoramic data model.
Further, the device attribute information is acquired by:
1) Collecting massive original information of equipment;
2) Preprocessing original information of the equipment, wherein the preprocessing comprises the following steps: unifying, de-duplication and standardization;
3) Constructing an equipment state value dictionary, and carrying out standardized processing on the equipment state value dictionary;
4) And obtaining the equipment attribute information based on the preprocessed equipment original information and the standardized equipment state value dictionary.
Further, the device attribute information includes: intrinsic characteristics, usage characteristics and relational characteristics.
Further, inherent features include: the equipment model list and the measurement information corresponding to each type.
Further, the usage characteristics include: fault information, corresponding codes, state information, corresponding codes and technical parameters, wherein each corresponding code is obtained according to a standardized equipment state value dictionary.
Further, the relational features include: a parts list.
Further, the device logic framework is constructed by:
1) Carding the logic level and the topology structure of the equipment in the whole field;
2) And carrying out top-level design on the equipment in the whole field based on the hierarchical division and connection relation of the equipment so as to construct an equipment logic framework.
Further, the instantiation information includes: the number, model, location, size, and status of use of each type of device.
Further, the configuring includes: a clipping operation, a copying operation, a model configuration operation, and a mapping operation.
Further, based on the equipment panoramic data model, all historical and real-time data of a certain equipment or a certain type of equipment are acquired through the following steps:
1) Acquiring holographic state data of a digital twin equipment model by the equipment panoramic data model;
2) According to the holographic state data, a panoramic data set surrounding various devices is established, and a device subject library is generated;
3) And acquiring all historical and real-time data of a certain device or a certain type of device based on the device subject library.
A storage medium having a computer program stored therein, wherein the computer program is arranged to perform the above method when run.
An electronic device comprising a memory and a processor, wherein the memory stores a program for performing the above-described method.
Compared with the prior art, the invention has the following beneficial effects:
1) By establishing an equipment standard model, digital twin can be more effectively carried out on industrial equipment, and the utilization efficiency of industrial big data is improved;
2) Through associating panoramic service data, the service logic and the spatial geographic panoramic data are associated, industrial big data can be represented in a specific form, industrial equipment can be managed and regulated in real time, and the equipment operation management efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of modeling of the apparatus of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only specific embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
The industrial equipment object modeling method of the invention, as shown in figure 1, comprises the steps of building a standard model, modeling equipment instantiation, building equipment panoramic data model, realizing equipment real-time internet of things by digital twin service and the like, and specifically comprises the following steps:
s10: the original information of the hydroelectric equipment is obtained, and a standard equipment model is constructed by carrying out standardized processing on the original information, designing and carding the logic hierarchical structure of the equipment.
1) Acquiring device attribute information
And collecting massive original equipment information, unifying, de-duplicating and standardizing the original equipment information, and standardizing related information such as an equipment state value dictionary and the like to obtain comprehensive, complete and detailed attribute information, thereby carrying out detailed design on equipment attributes.
Wherein the attribute information includes, but is not limited to: intrinsic characteristics, usage characteristics, relational characteristics. Inherent features include, but are not limited to: the equipment model list of each manufacturer and the measurement information corresponding to each model number; the usage features include, but are not limited to: fault information and codes, state information and codes (equipment state value dictionary), technical parameters; the relationship features include component inventory, etc.
2) Design equipment logic framework
The top layer design should be as complete and comprehensive as possible, and the necessary and feasible range can be selected based on practical conditions. Therefore, the device logic hierarchy and topology structure of the whole field are required to be combed, and the top-level design is carried out on the devices of the whole field to construct a device logic framework, wherein the device logic hierarchy and topology structure comprises hierarchy division and connection relation of the devices.
3) Construction of a Standard Equipment model
All device attributes and device logic frameworks are abstracted to form a standard device model, and the model is defined standard using computer language.
S20: and acquiring equipment instantiation information and performing instantiation modeling.
In this embodiment, the instantiation information of the power plant, such as the number, model, position, size, use status, etc. of each type of equipment, is required to be collected, and the instantiation information can be obtained by collecting the data of the equipment ledgers, drawings, etc.
Based on a standard model, the instantiation information of the equipment needs to be specific to a specific equipment entity, such as an xx power plant No. 1 water turbine, is configured by referring to the standard equipment model, and the equipment physical model is created through operations of cutting, copying, model configuration, mapping and the like, wherein the equipment physical model contains all basic information surrounding the equipment, including the hierarchical structure and attribute information of the equipment.
And classifying or partitioning each device physical model according to the functions and the positions, and endowing the position identification and the function identification to each device physical model.
S30: acquiring equipment related service information, carrying out panoramic data association, and constructing an equipment panoramic data model
1) Equipment physical coding and functional position code
According to different service characteristics, some service data are related to the functional positions of the equipment, and some service data are related to the physical equipment, so that the position identifiers and the functional identifiers are required to be mapped first, and each position can be provided with a unique physical equipment at the same time.
And then, acquiring the device physical codes and the functional position codes of the devices based on the devices and the position information of the devices.
2) Construction of equipment panoramic data model
Based on the device physical coding and the functional position codes, all data generated around the device can be associated according to the device physical model to associate and fuse service data, so as to form a device panoramic data model.
S40: and providing industrial equipment digital twin service for enterprises.
After holographic state data is obtained from a digital twin-based power equipment model in real time, a user can establish a panoramic data set surrounding various equipment according to the equipment panoramic data model, and the panoramic data set is used as an equipment subject library. Based on the device subject library, the user can directly acquire all data associated with a certain device or a certain type of device, screen and combine associated service data based on the dimensions of the device class or the physical device and the like, calculate the service state of the related device in real time, and perform data services such as role access or function operation and the like.
In addition, it should be noted that the above-described system embodiments are merely illustrative, and do not limit the scope of the present invention, and in practical applications, those skilled in the art may select some or all of the steps according to actual needs to achieve the purpose of the embodiment, which is not limited herein. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An industrial equipment object modeling method based on digital twinning comprises the following steps:
1) Constructing a standard equipment model based on the equipment attribute information and the equipment logic framework;
2) Configuring instantiation information of the equipment by referring to a standard equipment model, constructing a physical model of each equipment, and giving a position identifier and a function identifier to each equipment physical model based on the functions and the positions; wherein the instantiation information includes: the number, model, location, size and usage status of each type of device, the configuration comprising: cutting operation, copying operation, model configuration operation and mapping operation;
3) And mapping the position identifier and the function identifier to obtain the equipment physical code and the function position code of each equipment, and associating the physical model of each equipment based on the equipment physical code and the function position code to form an equipment panoramic data model.
2. The method of claim 1, wherein the device attribute information is obtained by:
1) Collecting massive original information of equipment;
2) Preprocessing original information of the equipment, wherein the preprocessing comprises the following steps: unifying, de-duplication and standardization;
3) Constructing an equipment state value dictionary, and carrying out standardized processing on the equipment state value dictionary;
4) And obtaining the equipment attribute information based on the preprocessed equipment original information and the standardized equipment state value dictionary.
3. The method of claim 2, wherein the device attribute information comprises: intrinsic characteristics, usage characteristics and relational characteristics.
4. A method as claimed in claim 3, wherein the inherent characteristics comprise: the equipment model list and the measurement information corresponding to each type; the use characteristics include: fault information, corresponding codes, state information, corresponding codes and technical parameters, wherein each corresponding code is acquired according to a standardized equipment state value dictionary; the relationship features include: a parts list.
5. The method of claim 1, wherein the device logic framework is constructed by:
1) Carding the logic level and the topology structure of the equipment in the whole field;
2) And carrying out top-level design on the equipment in the whole field based on the hierarchical division and connection relation of the equipment so as to construct an equipment logic framework.
6. The method of claim 1, wherein all historical and real-time data for a device or class of devices is obtained based on the device panoramic data model by:
1) Acquiring holographic state data of a digital twin equipment model by the equipment panoramic data model;
2) According to the holographic state data, a panoramic data set surrounding various devices is established, and a device subject library is generated;
3) And acquiring all historical and real-time data of a certain device or a certain type of device based on the device subject library.
7. A storage medium having a computer program stored therein, wherein the computer program is arranged to perform the method of any of claims 1-6 when run.
8. An electronic device comprising a memory, in which a computer program is stored, and a processor arranged to run the computer program to perform the method of any of claims 1-6.
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| CN115294283B (en) * | 2022-08-30 | 2024-03-08 | 卡奥斯数字科技(青岛)有限公司 | Digital twin plant construction method, device, equipment and storage medium |
| CN115834530A (en) * | 2022-09-22 | 2023-03-21 | 北京超图骏科数字技术有限公司 | Battlefield environment entity data binary coding method and related device |
| CN116383669B (en) * | 2023-03-18 | 2024-04-16 | 宝钢工程技术集团有限公司 | Method and system for generating factory object position number identification through data |
| CN116774645A (en) * | 2023-08-22 | 2023-09-19 | 苔花科迈(西安)信息技术有限公司 | Method, device, medium and equipment for associating equipment object model with entity equipment |
| CN116991903A (en) * | 2023-09-27 | 2023-11-03 | 中国长江电力股份有限公司 | Equipment-oriented industrial data classification and query method |
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