CN115423926B - Equipment model creation method applied to digital twin architecture - Google Patents
Equipment model creation method applied to digital twin architecture Download PDFInfo
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- CN115423926B CN115423926B CN202210855367.6A CN202210855367A CN115423926B CN 115423926 B CN115423926 B CN 115423926B CN 202210855367 A CN202210855367 A CN 202210855367A CN 115423926 B CN115423926 B CN 115423926B
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000013499 data model Methods 0.000 claims abstract description 110
- 230000003542 behavioural effect Effects 0.000 claims abstract description 12
- 238000013519 translation Methods 0.000 claims abstract description 12
- 238000013461 design Methods 0.000 claims description 7
- 238000012423 maintenance Methods 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 claims 3
- 238000004458 analytical method Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract description 4
- 230000006399 behavior Effects 0.000 description 25
- 238000004378 air conditioning Methods 0.000 description 6
- 238000012546 transfer Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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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
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention discloses a device model creation method applied to a digital twin building, which comprises the following steps: acquiring geometric data of external equipment; creating a geometric data model of the device; acquiring subscription information of a data platform of the equipment and subscribing behavior data of the equipment; translating behavior data of the equipment to obtain translation data; acquiring translation data and creating a behavior data model of the equipment; acquiring specification data of equipment; inputting the specification data into a standard data model template to obtain a specification data model of the equipment; binding the geometric data model, the behavioral data model and the specification data model. The invention solves the defect of strong application limitation in the prior art, and makes the analysis of the equipment data more effective.
Description
Technical Field
The invention relates to the technical field of digital twin, in particular to a device model creation method applied to digital twin buildings.
Background
Digital twinning (Digital Twin) is a technique of digitally recovering an object in the real world, which not only requires recovering geometric data about the object itself, but also creates a geometric data model of the object, typically using modeling techniques such as a building information model (Building Information Model). In addition, the digital twinning should also possess behaviors that the object can perform, data the behaviors and build a behavior data Model, which is commonly called an IoT thongs Model. Finally, because the object often contains some invisible technical specifications and other related attributes, the attribute data has important supplementary explanation meaning for the object, and thus, establishing a specification data model (Specification Model) has important meaning as well. In the current creation of digital twin projects, a more uniform method is not used for establishing a digital model of virtual digital equipment, most of applications only relate to one or two contents in the data model, and a more uniform method for establishing the digital model is not provided, so that the defect of strong application limitation exists.
Disclosure of Invention
According to an embodiment of the present invention, there is provided an apparatus model creation method applied to a digital twin building, including the steps of:
acquiring geometric data of external equipment;
creating a geometric data model of the device;
acquiring subscription information of a data platform of the equipment and subscribing behavior data of the equipment;
translating behavior data of the equipment to obtain translation data;
acquiring translation data and creating a behavior data model of the equipment;
acquiring specification data of equipment;
inputting the specification data into a standard data model template to obtain a specification data model of the equipment;
binding the geometric data model, the behavioral data model and the specification data model.
Further, the data sources of the geometric data of the device include: a manual for the design parameters of the device, a design drawing for installing the device and a completion drawing for the device.
Further, creating a geometric data model of the device, comprising the following sub-steps:
creating a geometric data model based on geometric data of the device;
and placing the geometric data model in a Revit project model file of external installation equipment to obtain the geometric data model of equipment existing in the digital twin building.
Further, the geometric data model of the device comprises: BIM model, 3DMAX model and UE model describing the device geometry and internal structure form.
Further, the behavioral data sources of the device include: a data transfer protocol based on the device bottom layer, a transfer protocol based on a data center for integrating device data, a transfer protocol based on a third party data center.
Further, translating behavior data of the device, comprising the sub-steps of:
creating a data dictionary of the device;
acquiring first data with business content from behavior data;
screening the data to obtain second data;
and querying a data dictionary, translating the second data, and obtaining translation data.
Further, the data dictionary is built based on behavior data of the device.
Further, the behavioral data model includes: a device attribute data model, a device event data model, a device operation data model.
Further, the specification data model includes: technical parameters of equipment operation, manufacturing parameters of equipment and maintenance parameters of equipment.
Further, the binding scheme of the geometric data model, the behavior data model and the specification data model comprises:
binding the geometric data model and the behavior data model;
binding the specification data model and the geometric data model;
binding the behavior data model with the specification data model through the geometric data model.
According to the device model creation method applied to the digital twin architecture, the device model applied to the digital twin architecture is built for a certain type of device, on one hand, analysis on device data can be more effective, when the creation of the device data model of the same set of digital twin architecture is applied to a plurality of building projects, data in the corresponding data model can be uniformly extracted through standardized data model definition for statistics and analysis. On the other hand, by defining the data model, the device data access of the digital twin architecture by using BIM and IoT has a relatively clear implementation target and implementation means, so that the problem that a great deal of time is consumed in the established digital twin architecture project to explore how to establish an effective data model to meet the application or the established data model cannot meet the data required in the practical application due to the ambiguity of the target and the implementation means can be effectively avoided, the method has the universality and universality of use in the digital twin architecture, and the defect of strong application limitation in the prior art is solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and are intended to provide further explanation of the technology claimed.
Drawings
FIG. 1 is a flow chart of steps of a method of device model creation applied to a digital twin architecture according to an embodiment of the present invention;
FIG. 2 is a flow chart of substeps of step S2 in FIG. 1;
fig. 3 is a flow chart of the substeps of step S4 in fig. 1.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the attached drawings, which further illustrate the present invention.
Firstly, an equipment model creation method applied to a digital twin building according to an embodiment of the present invention will be described with reference to fig. 1 to 3, and the method is used for creating a certain air conditioning unit equipment model, and has a wide application scenario.
As shown in fig. 1, the device model creation method applied to the digital twin architecture according to the embodiment of the invention includes the following steps:
in S1, as shown in fig. 1, geometric data of an external device is acquired, including but not limited to a certain brand and type of air conditioning unit.
Further, the data sources of the geometric data of the device include: a manual for the design parameters of the device, a design drawing for installing the device and a completion drawing for the device.
In S2, as shown in fig. 1, a geometric data model of the device is created.
Further, creating a geometric data model of the device, comprising the following sub-steps:
in S21, as shown in fig. 2, a geometric data model of the device is created based on the geometric data of the device by creating a form of a family file in Revit.
In S22, as shown in fig. 2, the geometric data model of the device is placed in a Revit project model file of an external installation device, and the geometric data model of the device existing in the digital twin building is obtained.
Further, the geometric data model of the device comprises: BIM model, 3DMAX model and UE model describing the device geometry and internal structure form.
In S3, as shown in fig. 1, subscription information of a data platform of the device is obtained, and behavior data of the device is subscribed, in this embodiment, a source of the behavior data of the device is that the device pushes data to the data integration platform, the source of the behavior data of the device is obtained by providing subscription information of the platform, and the subscription refers to that pushing of real-time device data is obtained by obtaining an address and authentication information thereof.
Further, the behavioral data sources of the device include: a data transfer protocol based on the device bottom layer, a transfer protocol based on a data center for integrating device data, a transfer protocol based on a third party data center.
In S4, as shown in fig. 1, behavior data of the device is translated, and translation data is obtained.
Further, translating behavior data of the device, comprising the sub-steps of:
in S41, as shown in fig. 3, a data dictionary of the device is created.
In S42, as shown in fig. 3, first data having business contents is acquired from the behavior data.
In S43, as shown in fig. 3, the data is screened to obtain second data, that is, the data field transmitted by the device is disassembled by the json field through the set disassembly method, and then the required service information field is marked according to the application development requirement, so that the data can be accessed and translated in subsequent research and development.
In S44, as shown in fig. 3, the data dictionary is queried, and the second data is translated to obtain translation data.
Further, the data dictionary is built based on behavior data of the device.
In S5, as shown in fig. 1, the translation data is acquired, and a behavior data model of the device is created, in this embodiment, the translated data is used to create, according to the format of the behavior data model, a behavior data model belonging to the device, that is, a composition model of the air conditioning unit.
Further, the behavioral data model includes: a device attribute data model, a device event data model, a device operation data model.
In S6, as shown in fig. 1, the specification data of the equipment is obtained, and in this embodiment, the sources of the equipment specification data obtained by the equipment manufacturer are mainly a design specification parameter manual and a maintenance manual of the air conditioning unit, including the operation parameters, the usage method and the later maintenance and guarantee method of the equipment.
In S7, as shown in fig. 1, the specification data is entered into a standard data model template to obtain a specification data model of the apparatus.
Further, the specification data model includes: technical parameters of equipment operation, manufacturing parameters of equipment and maintenance parameters of equipment.
In S8, as shown in fig. 1, the geometric data model, the behavioral data model, and the specification data model are bound.
Further, the binding scheme of the geometric data model, the behavior data model and the specification data model comprises: binding the geometric data model and the behavior data model; binding the specification data model and the geometric data model; binding the behavior data model with the specification data model through the geometric data model; in the present embodiment, three data models are bound by giving a geometric model data unique code (ArcBaseDevice), a specification data model unique code (specifiioncode), a behavioral data model (thinmodeid). Since the geometric data model is already arranged into the digital twin, the device model will also be present in the corresponding digital twin for use.
The embodiment aims at the creation of the equipment model of an air conditioning unit model of a certain brand and type, provides a creation means for the equipment model applicable to the air conditioning unit in the digital twin building model, and can perform application development and data analysis on each bit of data of the equipment model in the later period.
In the above, the method for creating the device model applied to the digital twin architecture according to the embodiment of the present invention is described with reference to fig. 1 to 3, and the device model applied to the digital twin architecture is created for a certain class of devices, so that on one hand, the analysis on the device data can be more effective, and when the creation of the device data model of the same set of digital twin architecture is applied to a plurality of building projects, the data in the corresponding data model can be uniformly extracted for statistics and analysis through standardized data model definition. On the other hand, by defining the data model, the device data access of the digital twin architecture by using BIM and IoT has a relatively clear implementation target and implementation means, so that the problem that a great deal of time is consumed in the established digital twin architecture project to explore how to establish an effective data model to meet the application or the established data model cannot meet the data required in the practical application due to the ambiguity of the target and the implementation means can be effectively avoided, the method has the universality and universality of use in the digital twin architecture, and the defect of strong application limitation in the prior art is solved.
It should be noted that in this specification the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
While the present invention has been described in detail through the foregoing description of the preferred embodiment, it should be understood that the foregoing description is not to be considered as limiting the invention. Many modifications and substitutions of the present invention will become apparent to those of ordinary skill in the art upon reading the foregoing. Accordingly, the scope of the invention should be limited only by the attached claims.
Claims (6)
1. A device model creation method applied to a digital twin building, characterized by comprising the steps of:
obtaining geometric data of an external device, wherein the data sources of the geometric data of the device comprise: the manual of the design parameters of the equipment, the design drawing for installing the equipment and the completion drawing of the equipment;
creating a geometric data model of the device;
acquiring subscription information of a data platform of the equipment, subscribing behavior data of the equipment, wherein the behavior data sources of the equipment comprise: a data transmission protocol based on the bottom layer of the device, a transmission protocol based on a middle data platform for integrating the device data, and a transmission protocol based on a middle data platform of a third party;
translating the behavior data of the device to obtain translation data, and translating the behavior data of the device, wherein the translation data comprises the following sub-steps: creating a data dictionary for the device; acquiring first data with business content from the behavior data; screening the data to obtain second data; querying the data dictionary, translating the second data, and obtaining translation data;
acquiring the translation data and creating a behavior data model of the equipment;
acquiring specification data of the equipment;
inputting the specification data into an external standard data model template to obtain a specification data model of the equipment, wherein the specification data model comprises the following components: technical parameters of the operation of the equipment, manufacturing parameters of the equipment and maintenance parameters of the equipment;
binding the geometric data model, the behavioral data model and the specification data model.
2. The method for creating a model of a device for use in a digital twin architecture as defined in claim 1, wherein creating a geometric data model of the device comprises the sub-steps of:
creating a geometric data model based on geometric data of the device;
and placing the geometric data model in an external Revit project model file for installing the equipment to obtain the geometric data model of the equipment existing in the digital twin building.
3. The apparatus model creation method applied to a digital twin building according to claim 2, wherein the geometric data model of the apparatus comprises: BIM model, 3DMAX model and UE model describing the device geometry and internal structure form.
4. The device model creation method applied to a digital twin architecture as defined in claim 1, wherein a data dictionary is created from the behavior data of the device.
5. The apparatus model creation method applied to a digital twin building according to claim 1, wherein the behavior data model includes: a device attribute data model, a device event data model, a device operation data model.
6. The device model creation method applied to a digital twin architecture according to claim 1, wherein the binding scheme of the geometric data model, the behavioral data model and the specification data model includes:
the geometric data model is bound with the behavioral data model;
the specification data model is bound with the geometric data model;
binding the behavioral data model with the specification data model by the geometric data model.
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