CN114253228A - Industrial equipment object modeling method and device based on digital twinning - Google Patents

Industrial equipment object modeling method and device based on digital twinning Download PDF

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Publication number
CN114253228A
CN114253228A CN202111385990.1A CN202111385990A CN114253228A CN 114253228 A CN114253228 A CN 114253228A CN 202111385990 A CN202111385990 A CN 202111385990A CN 114253228 A CN114253228 A CN 114253228A
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equipment
model
data
information
physical
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CN114253228B (en
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刘伟
董为
徐欢
王静
王宏安
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Institute of Software of CAS
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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], computer integrated manufacturing [CIM]
    • G05B19/41885Total 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], computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32339Object oriented modeling, design, analysis, implementation, simulation language

Abstract

The invention discloses a digital twin-based industrial equipment object modeling method and a digital twin-based industrial equipment object modeling device, wherein a standard equipment model is constructed based on equipment attribute information and an equipment logic framework; the instantiation information of the equipment refers to a standard equipment model for configuration, and a physical model of each equipment is constructed; based on the functions and the positions, giving position identifications and function identifications to the physical models of the equipment; mapping the position identification and the function identification to obtain the equipment physical code and the function position code of each equipment; and associating the physical models of the devices based on the device physical codes and the functional position codes to form a device panoramic data model. According to the invention, by establishing the equipment standard model and associating the panoramic service data, the association between the service logic and the panoramic data on the space geography is realized, the industrial big data can be presented in an appearance manner, the 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

Industrial equipment object modeling method and device based on digital twinning
Technical Field
The invention relates to the technical field of computer software, in particular to a digital twin-based industrial equipment object modeling method and device.
Background
With the rapid development of national economy, various industries advance the digital twin engineering of enterprises and industries for interconnection and intercommunication of massive terminals. The national "double carbon" target also puts higher demands on various industries in the industry.
The industrial equipment terminal manufacturers, models, communication protocols, management requirements and the like are various, modeling is carried out, dynamic association with surrounding data is not carried out, and no more support is provided for production operation and safety control of enterprises.
Some researches have been carried out in the prior art, for example, chinese patent application CN111025962A discloses a panoramic image-based indoor visual monitoring method for a substation, but the so-called panoramic view is a spatial and geographic viewing angle, and does not implement panoramic data association in business logic.
Therefore, a standardized equipment model is needed to be established based on the digital twin technology, panoramic data association is carried out, and dynamic real-time control management capability is provided for enterprises.
Disclosure of Invention
In view of the above, the invention provides an industrial equipment object modeling method and device based on digital twin, and aims to solve the technical problems that the prior art cannot establish physical, virtual peer and real-time association of equipment, and various physical models of various equipment are separated from actual application and service data, so that enterprise equipment is visualized in the internet of things, and the application efficiency of industrial big data is greatly improved.
In order to achieve the technical goal, the technical scheme of the invention comprises the following steps:
a digital twin-based industrial equipment object modeling method comprises the following steps:
1) constructing a standard equipment model based on the equipment attribute information and the equipment logic framework;
2) the instantiation information of the equipment refers to a standard equipment model for configuration, a physical model of each equipment is constructed, and a position identifier and a function identifier are given to each equipment physical model based on functions and positions;
3) and mapping the position identification and the function identification 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 equipment, wherein the preprocessing comprises the following steps: unifying, removing duplicate and standardizing;
3) constructing an equipment state dereferencing dictionary, and carrying out standardization processing on the equipment state dereferencing dictionary;
4) and obtaining equipment attribute information based on the preprocessed equipment original information and the standardized equipment state value dictionary.
Further, the device attribute information includes: intrinsic features, usage features and relationship features.
Further, the inherent features include: the equipment model list and the measurement information corresponding to each model.
Further, the usage features include: fault information and corresponding codes, state information and corresponding codes and technical parameters, wherein each corresponding code is obtained according to a standardized equipment state value dictionary.
Further, the relationship features include: a list of parts.
Further, the device logical framework is constructed by the following steps:
1) combing the logic level and topological structure of the equipment in the whole field;
2) and performing top-level design on the equipment in the whole field based on the hierarchical division and the connection relation of the equipment to construct an equipment logical framework.
Further, the instantiation information includes: the number, model, location, size and use status of each type of device.
Further, the configuring includes: a cropping operation, a copying operation, a model configuration operation, and a mapping operation.
Further, based on the panoramic data model of the device, all historical and real-time data of a certain device or a certain type of device are obtained through the following steps:
1) the device panoramic data model acquires holographic state data of the digital twin device model;
2) according to the holographic state data, establishing a panoramic data set surrounding various devices to generate a device subject library;
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 executed.
An electronic device comprising a memory and a processor, wherein the memory stores a program that performs the above described method.
Compared with the prior art, the invention has the following beneficial effects:
1) by establishing the standard model of the equipment, the digital twinning can be more effectively carried out on the industrial equipment, and the utilization efficiency of industrial big data is improved;
2) by associating the panoramic service data, the association of service logic and the panoramic data on space geography is realized, the large industrial data can be presented in an appearance mode, the industrial equipment can be managed, regulated and controlled in real time, and the operation management efficiency of the equipment is greatly improved.
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FIG. 1 is a flow chart of the modeling of the apparatus of the present invention.
Detailed Description
In the following, technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention, and it is obvious that the described embodiments are only specific embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The industrial equipment object modeling method disclosed by the invention comprises the following processes of building a standard model, building equipment instantiation modeling, building an 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: acquiring original information of hydroelectric equipment, and constructing a standard equipment model by carrying out standardized processing on the original information, designing and carding a logical hierarchical structure of the equipment.
1) Obtaining device attribute information
The method comprises the steps of collecting massive device original information, unifying, removing duplication and standardizing the device original information, standardizing related information such as a device state value-taking dictionary and the like to obtain comprehensive, complete and detailed attribute information, and accordingly carrying out detailed design on device attributes.
Wherein, the attribute information includes but is not limited to: intrinsic characteristics, usage characteristics, relational characteristics. Intrinsic characteristics include, but are not limited to: each manufacturer equipment model list and the measurement information corresponding to each model; usage characteristics include, but are not limited to: fault information and codes, state information and codes (equipment state value dictionary), technical parameters; the relational features include a parts list, and the like.
2) Designing an equipment logic framework
The top level design should be as complete and comprehensive as possible, and the necessary and feasible range can be selected based on the actual situation. Therefore, the logical hierarchy and the topological structure of the devices in the whole field need to be combed, and the top-level design is performed on the devices in the whole field by the hierarchical division and the connection relation of the devices so as to construct a logical framework of the devices.
3) Building a model of a standard device
Abstracting all the equipment attributes and the equipment logical framework to form a standard equipment model, and performing standard definition on the model by using a computer language.
S20: and acquiring equipment instantiation information and carrying out instantiation modeling.
In this embodiment, instantiation information of the power plant needs to be collected, for example, the number, model, position, size, use state, and the like of each type of equipment, and the instantiation information can be obtained by collecting data such as equipment ledgers and drawings.
According to the standard model, a specific equipment entity, such as xx power plant No. 1 water turbine, is required to be specified, the instantiation information of the equipment refers to the standard equipment model for configuration, and the equipment physical model is created through operations such as cutting, copying, model configuration, mapping and the like, wherein the equipment physical model comprises all basic information surrounding the equipment, including the hierarchical structure and attribute information of the equipment.
And classifying or partitioning each equipment physical model according to the function and the position, and endowing each equipment physical model with a position identifier and a function identifier.
S30: acquiring relevant service information of the equipment, performing panoramic data association, and constructing a panoramic data model of the equipment
1) Equipment real object code and function position code
According to different service characteristics, some service data are related to the functional position of the equipment, and some service data are related to the physical object of the equipment, so that the position identification and the functional identification need to be mapped firstly, and each position can be provided with unique physical equipment at the same time.
And then, acquiring the equipment real object code and the function position code of each equipment based on the position information of each equipment.
2) Constructing a device panoramic data model
Based on the equipment physical code and the functional position code, all data generated around the equipment can be associated according to the equipment physical model, and the association and fusion of service data are carried out to form an equipment panoramic data model.
S40: and providing the digital twin service of industrial equipment for enterprises.
After the holographic state data are acquired in real time from the electric power equipment model based on the digital twin, 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 theme base, the user can directly acquire all data associated with a certain device or a certain type of device, perform screening and combination of associated service data based on dimensions such as the device type or the physical device and the like, and can calculate the service state of the associated device in real time to perform data services such as role access or functional 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, a person skilled in the art may select some or all of the steps to achieve the purpose of the embodiment according to actual needs, and the present invention is not limited herein. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A digital twin-based industrial equipment object modeling method comprises the following steps:
1) constructing a standard equipment model based on the equipment attribute information and the equipment logic framework;
2) the instantiation information of the equipment refers to a standard equipment model for configuration, a physical model of each equipment is constructed, and a position identifier and a function identifier are given to each equipment physical model based on functions and positions;
3) and mapping the position identification and the function identification 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 device attribute information is obtained by:
1) collecting massive original information of equipment;
2) preprocessing original information of equipment, wherein the preprocessing comprises the following steps: unifying, removing duplicate and standardizing;
3) constructing an equipment state dereferencing dictionary, and carrying out standardization processing on the equipment state dereferencing dictionary;
4) and obtaining 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 features, usage features and relationship features.
4. The method of claim 3, wherein the inherent features comprise: the equipment model list and the measurement information corresponding to each model; the use features include: fault information and corresponding codes, state information and corresponding codes and technical parameters, wherein each corresponding code is obtained according to a standardized equipment state value dictionary; the relationship features include: a list of parts.
5. The method of claim 1, wherein the device logical framework is constructed by:
1) combing the logic level and topological structure of the equipment in the whole field;
2) and performing top-level design on the equipment in the whole field based on the hierarchical division and the connection relation of the equipment to construct an equipment logical framework.
6. The method of claim 1, wherein instantiating information comprises: the number, model, location, size and use status of each type of device.
7. The method of claim 1, wherein the configuring comprises: a cropping operation, a copying operation, a model configuration operation, and a mapping operation.
8. 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 panorama data model by:
1) the device panoramic data model acquires holographic state data of the digital twin device model;
2) according to the holographic state data, establishing a panoramic data set surrounding various devices to generate a device subject library;
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.
9. A storage medium having a computer program stored thereon, wherein the computer program is arranged to, when run, perform the method of any of claims 1-8.
10. An electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the method according to any of claims 1-8.
CN202111385990.1A 2021-11-22 2021-11-22 Industrial equipment object modeling method and device based on digital twin Active CN114253228B (en)

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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
CN116383669A (en) * 2023-03-18 2023-07-04 宝钢工程技术集团有限公司 Method and system for generating factory object position number identification through data
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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