CN115423926A - Equipment model creating method applied to digital twin building - Google Patents
Equipment model creating method applied to digital twin building Download PDFInfo
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- CN115423926A CN115423926A CN202210855367.6A CN202210855367A CN115423926A CN 115423926 A CN115423926 A CN 115423926A CN 202210855367 A CN202210855367 A CN 202210855367A CN 115423926 A CN115423926 A CN 115423926A
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- 238000013499 data model Methods 0.000 claims abstract description 110
- 238000013519 translation Methods 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims description 9
- 238000013461 design Methods 0.000 claims description 7
- 230000003542 behavioural effect Effects 0.000 claims description 5
- 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
- 238000004458 analytical method Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract description 4
- 230000006399 behavior Effects 0.000 description 28
- 238000004378 air conditioning Methods 0.000 description 6
- 238000009434 installation Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
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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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a method for creating an equipment model 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; obtaining subscription information of a data platform of the equipment, and subscribing behavior data of the equipment; translating the behavior data of the equipment to obtain translation data; acquiring translation data and establishing 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; and binding the geometric data model, the behavior data model and the specification data model. The invention overcomes 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 twins, in particular to a device model creating method applied to a digital twins building.
Background
Digital Twin (Digital Twin) is a technology for digitally restoring an object in the real world, and it is not only necessary to restore geometric data about the object itself, but also a modeling technology such as a Building Information Model (Building Information Model) is usually used to create a geometric data Model of the object. In addition, the digital twin should also have the possible behaviors of the object, and the behavior is digitized and a behavior data Model is built, which is generally called an object Model (IoT Things Model). Finally, because objects often contain some attributes related to invisible technical specifications and the like, the attribute data has important supplementary description meaning for the objects, and therefore, establishing a Specification data Model (Specification Model) also has important meaning. In the current creation of the digital twin project, a more uniform method is not provided for establishing a digital model of the virtual digital device, most applications only relate to one or two of the data models, and the 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 invention, a device model creating method applied to a digital twin building is provided, which comprises the following steps:
acquiring geometric data of external equipment;
creating a geometric data model of the device;
obtaining subscription information of a data platform of the equipment, and subscribing behavior data of the equipment;
translating the behavior data of the equipment to obtain translation data;
acquiring translation data, and establishing 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;
and binding the geometric data model, the behavior data model and the specification data model.
Further, the data sources for the geometry data of the device include: a design parameter manual of the equipment, a design drawing of the installation equipment and an as-built drawing of the equipment.
Further, creating a geometric data model of the device, comprising the sub-steps of:
creating a geometric data model based on the geometric data of the device;
and placing the geometric data model in an external Revit project model file of the installation equipment to obtain the geometric data model of the equipment in the digital twin building.
Further, the geometric data model of the device comprises: BIM model, 3DMAX model and UE model describing the geometrical size and internal structure form of the device.
Further, the behavior data sources of the device include: the data transmission protocol based on the device bottom layer, the transmission protocol based on the data center station for integrating the device data and the transmission protocol based on the data center station of the third party.
Further, the behavior data of the translation device comprises the following sub-steps:
creating a data dictionary of the device;
acquiring first data with service content from the behavior data;
screening the data to obtain second data;
and querying the data dictionary, and translating the second data to obtain translation data.
Further, a data dictionary is established based on behavioral data of the device.
Further, the behavioral data model includes: a device attribute data model, a device event data model, a device operational data model.
Further, the specification data model includes: technical parameters of the operation of the equipment, manufacturing parameters of the equipment and maintenance parameters of the equipment.
Further, the binding scheme of the geometric data model, the behavior data model and the specification data model comprises the following steps:
binding the geometric data model with the behavior data model;
binding the specification data model and the geometric data model;
and binding the behavior data model with the specification data model through the geometric data model.
According to the equipment model establishing method applied to the digital twin building, the equipment model applied to the digital twin building is established for a certain type of equipment, on one hand, the analysis of equipment data can be more effective, and when the equipment data model of the same set of digital twin building is established and applied to a plurality of building projects, data in corresponding data models can be uniformly extracted through standardized data model definition to carry out statistics and analysis. On the other hand, by defining the data model, the equipment data access of the digital twin building utilizing BIM and IoT at present has a definite implementation target and an execution means, the problem that a great amount of time is consumed in the established digital twin building 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 unclear target and means can be effectively avoided, the universality and universality of the use in the digital twin building are realized, and the defect of strong application limitation in the prior art is overcome.
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 claimed technology.
Drawings
FIG. 1 is a flow chart of steps of an equipment model creation method applied to a digital twin building according to an embodiment of the present invention;
FIG. 2 is a flow chart of sub-steps of step S2 in FIG. 1;
fig. 3 is a flowchart illustrating sub-steps of step S4 in fig. 1.
Detailed Description
The present invention will be further explained by the following detailed description of preferred embodiments thereof, which is to be read in connection with the accompanying drawings.
First, an equipment model creating 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, which is used for creating an equipment model of an air conditioning unit and has a wide application range.
As shown in fig. 1, the method for creating an equipment model applied to a digital twin building according to an embodiment of the present invention includes the following steps:
in S1, as shown in fig. 1, geometry data of an external device, including but not limited to a certain brand and type of air conditioning unit, is obtained.
Further, the data sources for the geometry data of the device include: a design parameter manual of the equipment, a design drawing of the installation equipment and an as-built drawing of the equipment.
In S2, a geometric data model of the device is created, as shown in fig. 1.
Further, creating a geometric data model of the device, comprising the sub-steps of:
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 the Revit project model file of the 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 geometric dimension and internal structure form of the equipment.
In S3, as shown in fig. 1, subscription information of a data platform of a device is obtained, and behavior data of the device is subscribed, in this embodiment, a source of the behavior data of the device is to push data to a data integration platform, the source of the behavior data is obtained by providing the subscription information of the platform, and the subscription refers to pushing of real-time device data obtained by obtaining an address and authentication information thereof.
Further, the behavior data sources of the device include: the data transmission protocol based on the device bottom layer, the transmission protocol based on the data center station for integrating the device data and the transmission protocol based on the data center station of the third party.
In S4, the behavior data of the device is translated, as shown in fig. 1, to obtain translation data.
Further, the behavior data of the translation device comprises the following sub-steps:
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, data is screened to obtain second data, that is, json fields of data fields transmitted by devices are disassembled by a preset disassembling method, and then required service information fields are marked according to application development requirements, so as to provide access and translation of data for subsequent research and development.
In S44, as shown in fig. 3, the data dictionary is queried, and the second data is translated to obtain translated data.
Further, the data dictionary is established based on behavioral data of the device.
In S5, as shown in fig. 1, the translation data is obtained, and a behavior data model of the device is created, in this embodiment, the translated data refers to the data, which is created according to the format of the behavior data model, and the behavior data model belongs to the device, that is, the physical model of the air conditioning unit.
Further, the behavioral data model includes: a device attribute data model, a device event data model, a device operational 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 use 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, and a specification data model of the device is obtained.
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 behavior 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 the following steps: binding the geometric data model with 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 this embodiment, the three data models are bound by giving a unique code to the geometry model data (ArcBaseDevice), a unique code to the specification data model (SpecificationCode), and a behavior data model (thingmodelld). Since the geometric data model is already arranged in the digital twin building, the device model is also present in the corresponding digital twin building for use.
The embodiment creates an equipment model aiming at an air conditioning unit model of a certain brand and type, provides a creating means for the equipment model of the air conditioning unit applicable in the digital twin building model, and can perform application development and data analysis on the data of each position of the equipment model in the later period.
In the above, the method for creating the equipment model applied to the digital twin building according to the embodiments of the present invention is described with reference to fig. 1 to 3, and the equipment model applied to the digital twin building is created for a certain type of equipment, so that the analysis of the equipment data is more effective, and when the creation of the equipment data model of the same set of digital twin building is applied to a plurality of building projects, the data in the corresponding data model can be uniformly extracted through the standardized data model definition to perform statistics and analysis. On the other hand, by defining the data model, the equipment data access of the digital twin building utilizing the BIM and the IoT at present has a relatively clear implementation target and an execution means, the problem that a large amount of time is consumed in the established digital twin building 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 unclear target and means can be effectively avoided, the universality and universality of the use in the digital twin building are realized, and the defect of strong application limitation in the prior art is overcome.
It should be noted that, in the present 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 phrases "comprising 8230; \8230;" comprises 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be limited only by the attached claims.
Claims (10)
1. A method for creating an equipment model applied to a digital twin building is characterized by comprising the following steps:
acquiring geometric data of external equipment;
creating a geometric data model of the device;
obtaining subscription information of a data platform of the equipment, and subscribing behavior data of the equipment;
translating the behavior data of the equipment to obtain 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;
and binding the geometric data model, the behavior data model and the specification data model.
2. The method for creating the device model applied to the digital twin building according to claim 1, wherein the data source of the geometric data of the device comprises: the equipment comprises a design parameter manual of the equipment, a design drawing for installing the equipment and a completion drawing of the equipment.
3. The method for creating the equipment model of the digital twin building is characterized in that the method for creating the geometric data model of the equipment comprises the following substeps:
creating a geometric data model based on the geometric data of the device;
and placing the geometric data model in an external Revit project model file provided with the equipment to obtain the geometric data model of the equipment in the digital twin building.
4. The method for creating a plant model for a digital twin building according to claim 3, wherein the geometric data model of the plant comprises: BIM model, 3DMAX model and UE model describing the geometrical size and internal structure form of the device.
5. The method for creating an equipment model for a digital twin building according to claim 1, wherein the source of behavior data of the equipment comprises: the data transmission protocol based on the device bottom layer, the transmission protocol based on the data center station for integrating the device data and the transmission protocol based on the third party data center station.
6. The method for creating an equipment model for a digital twin building according to claim 1, wherein translating the behavior data of the equipment comprises the sub-steps of:
creating a data dictionary for the device;
acquiring first data with service content from the behavior data;
screening the data to obtain second data;
and querying the data dictionary, and translating the second data to obtain translation data.
7. The apparatus model creation method applied to a digital twin building according to claim 6, wherein a data dictionary is created based on the behavior data of the apparatus.
8. The method for creating an equipment model for a digital twin building according to claim 1, wherein the behavior data model comprises: a device attribute data model, a device event data model, a device operational data model.
9. The apparatus model creation method applied to a digital twin building according to claim 1, wherein the specification data model includes: technical parameters of the operation of the equipment, manufacturing parameters of the equipment and maintenance parameters of the equipment.
10. The method for creating an equipment model for a digital twin building according to claim 1, wherein the binding scheme of the geometric data model, the behavior data model and the specification data model comprises:
the geometric data model is bound with the behavior data model;
the specification data model is bound with the geometric data model;
binding the behavioral data model with the specification data model via the geometric data model.
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