Method and apparatus for integrated management of facilities based on digital twin

Abstract

The present invention relates to a method for integrated management of facilities based on a digital twin. The method for integrated management of facilities based on a digital twin comprises the steps of: acquiring digital twin model data generated on the basis of a first criterion including a modeling rule and a second criterion including the shape and attribute of an object; determining, by using a plurality of rules, whether or not the acquired digital twin model data satisfies a quality criterion; and if it is determined that the digital twin model data satisfies the quality criterion, registering the digital twin model data on a database.

Description

Digital Twin-Based Integrated Facility Management Method and Device

[0001] The present invention relates to a method and device for integrated management of facilities based on digital twins, and more particularly, to a method and device for integrated management of facilities based on digital twins that manages facilities through registration of a precise digital twin model.

[0002]

[0003] A digital twin is a computer-generated digital data model of a real-world object or system, enabling real-time interaction. For example, digital twins offer the advantage of monitoring or simulating various real-world situations. Therefore, efforts are currently underway to introduce digital twins across various industries.

[0004] Meanwhile, to monitor the real world using digital twin models, it's crucial to create them accurately and error-free. However, digital twin models contain numerous 3D objects, and identifying which of these objects has an error presents a significant challenge.

[0005]

[0006] The present invention provides a digital twin-based facility integrated management method for solving the above-mentioned problems, a computer program stored in a computer-readable medium, a computer-readable medium storing the computer program, and a device (system).

[0007]

[0008] The present invention can be implemented in various ways, including a method, a device (system), a computer program stored in a computer-readable medium, or a computer-readable medium having a computer program stored therein.

[0009] According to one embodiment of the present invention, a method for integrated management of facilities based on digital twins, performed by at least one processor, includes a step of acquiring digital twin model data generated based on a first criterion including a modeling rule and a second criterion including a shape and properties of an object, a step of determining whether the acquired digital twin model data satisfies a quality criterion using a plurality of rules, and a step of registering the digital twin model data in a database when it is determined that the digital twin model data satisfies the quality criterion.

[0010] According to one embodiment of the present invention, the method further includes a step of monitoring an actual facility associated with digital twin model data based on digital twin model data registered in a database.

[0011] According to one embodiment of the present invention, the step of determining whether the acquired digital twin model data satisfies a quality criterion includes the step of determining whether each object included in the digital twin model data satisfies at least some of a plurality of rules.

[0012] According to one embodiment of the present invention, the step of determining whether each object included in digital twin model data satisfies at least some of a plurality of rules includes the step of searching for an ID of a first object included in the digital twin model data, the step of recognizing a shape and properties of the object based on the searched ID of the first object, and the step of determining whether the first object satisfies a quality criterion based on a first set of rules corresponding to the shape and properties of the recognized first object among the plurality of rules.

[0013] According to one embodiment of the present invention, if it is determined that the digital twin model data does not satisfy the quality criteria, the method further includes the step of extracting a second object that does not satisfy the quality criteria from among each object included in the digital twin model data, and the step of generating a quality review report that visualizes an image of the extracted second object and data related to the quality review result of the second object.

[0014] According to one embodiment of the present invention, when the shape and properties of the second object are changed, the method further includes a step of obtaining modified digital twin model data and a step of determining whether the modified digital twin model data satisfies a quality standard using a plurality of rules.

[0015] According to one embodiment of the present invention, the digital twin model data is associated with an actual facility. The method further includes the step of updating the digital twin model data when a change occurs in the facility.

[0016] According to one embodiment of the present invention, the step of updating digital twin model data includes the step of obtaining sensor data corresponding to a change on a facility, the step of extracting a third object associated with the sensor data from among each object included in the digital twin model data, and the step of updating the extracted third object based on the obtained sensor data.

[0017] According to one embodiment of the present invention, in response to the digital twin model data being updated, the method further includes a step of determining whether the updated digital twin model data satisfies a quality criterion using a plurality of rules.

[0018] A computer program stored in a computer-readable recording medium is provided to execute a method according to one embodiment of the present invention on a computer.

[0019] A computing device according to one embodiment of the present invention includes a communication module, a memory, and at least one processor connected to the memory and configured to execute at least one computer-readable program contained in the memory. The at least one program includes commands for obtaining digital twin model data generated based on a first criterion including a modeling rule and a second criterion including a shape and properties of an object, determining whether the obtained digital twin model data satisfies a quality criterion using a plurality of rules, and registering the digital twin model data in a database when it is determined that the digital twin model data satisfies the quality criterion.

[0020] According to one embodiment of the present invention, at least one program includes commands for performing monitoring of an actual facility associated with digital twin model data based on digital twin model data registered in a database.

[0021] According to one embodiment of the present invention, at least one program further includes instructions for determining whether each object included in the digital twin model data satisfies at least some of a plurality of rules.

[0022] According to one embodiment of the present invention, at least one program further includes instructions for retrieving an ID of a first object included in digital twin model data, recognizing a shape and properties of the object based on the retrieved ID of the first object, and determining whether the first object satisfies a quality criterion based on a first set of rules corresponding to the recognized shape and properties of the first object among a plurality of rules.

[0023] According to one embodiment of the present invention, at least one program further includes commands for, when it is determined that the digital twin model data does not satisfy the quality criteria, extracting a second object that does not satisfy the quality criteria from among each object included in the digital twin model data, and generating a quality review report visualizing an image of the extracted second object and data related to the quality review result of the second object.

[0024] According to one embodiment of the present invention, at least one program further includes instructions for obtaining modified digital twin model data when the shape and properties of the second object are changed, and determining whether the modified digital twin model data satisfies a quality criterion using a plurality of rules.

[0025] According to one embodiment of the present invention, digital twin model data is associated with an actual facility. At least one program further includes commands for updating the digital twin model data when changes occur in the facility.

[0026] According to one embodiment of the present invention, at least one program further includes commands for obtaining sensor data corresponding to a change on a facility, extracting a third object associated with the sensor data from among each object included in the digital twin model data, and updating the extracted third object based on the obtained sensor data.

[0027] According to one embodiment of the present invention, at least one program further includes instructions for determining, in response to the digital twin model data being updated, whether the updated digital twin model data satisfies a quality criterion using a plurality of rules.

[0028]

[0029] In various embodiments of the present invention, a computing device can automatically perform a quality review of complex digital twin model data to detect errors or provide detected information to a user, and automatically reflect changes in actual facilities associated with the digital twin model to perform effective facility management.

[0030] In various embodiments of the present invention, a computing device can extract only objects in which errors have occurred among numerous objects constituting digital twin model data, generate a quality review report, and provide the quality review report to a user, and the user can easily change or modify the digital twin model data using the quality review report reflecting the content.

[0031] The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by a person having ordinary knowledge in the technical field to which the present invention belongs (referred to as “one of ordinary skill in the art”) from the description of the claims.

[0032]

[0033] Embodiments of the present invention will be described below with reference to the accompanying drawings, wherein like reference numerals represent similar elements, but are not limited thereto.

[0034] FIG. 1 is a functional block diagram showing the internal configuration of a computing device according to one embodiment of the present invention.

[0035] FIG. 2 is an exemplary diagram illustrating a portion of digital twin model data according to one embodiment of the present invention.

[0036] FIG. 3 is an exemplary drawing showing a portion of a quality review report according to one embodiment of the present invention.

[0037] FIG. 4 is a diagram illustrating an example of a digital twin-based facility integrated management method according to one embodiment of the present invention.

[0038] FIG. 5 is a block diagram showing the internal configuration of a computing device according to one embodiment of the present invention.

[0039]

[0040] Hereinafter, specific details for implementing the present invention will be described in detail with reference to the attached drawings. However, in the following description, specific descriptions of widely known functions or configurations will be omitted if they may unnecessarily obscure the gist of the present invention.

[0041] In the attached drawings, identical or corresponding components are assigned the same reference numerals. Furthermore, in the description of the embodiments below, duplicate descriptions of identical or corresponding components may be omitted. However, even if a description of a component is omitted, it is not intended that such component is not included in any embodiment.

[0042] The advantages and features of the disclosed embodiments, and the methods for achieving them, will become clearer with reference to the embodiments described below, along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure the completeness of the present invention and to fully inform those skilled in the art of the scope of the invention.

[0043] The terms used in this specification will be briefly explained, followed by a detailed description of the disclosed embodiments. The terms used in this specification have been selected from widely used, current terms, taking into account the functions of the present invention. However, these terms may vary depending on the intentions of engineers working in the relevant fields, precedents, the emergence of new technologies, etc. Furthermore, in certain cases, terms may be arbitrarily selected by the applicant, and in such cases, their meanings will be described in detail in the relevant description of the invention. Therefore, the terms used in this invention should be defined based on their meanings and the overall content of the present invention, rather than simply their names.

[0044] In this specification, singular expressions include plural expressions unless the context clearly indicates otherwise. Furthermore, plural expressions include singular expressions unless the context clearly indicates otherwise. When a part of the specification is said to include a component, this does not exclude other components, but rather implies that other components may be included, unless otherwise specifically stated.

[0045] In the present invention, terms such as “comprise”, “comprising”, etc. may indicate the presence of features, steps, operations, elements, and / or components, but such terms do not exclude the addition of one or more other functions, steps, operations, elements, components, and / or combinations thereof.

[0046] In the present invention, when a specific component is referred to as being "coupled," "combined," "connected," or "reacting" with any other component, the specific component may be directly coupled, combined, and / or connected to, or reacting with, the other component, but is not limited thereto. For example, one or more intermediate components may exist between the specific component and the other component. Furthermore, in the present invention, "and / or" may include each of one or more of the listed items, or a combination of at least some of one or more of the listed items.

[0047] In the present invention, terms such as "first" and "second" are used to distinguish specific components from other components, and the components described by these terms are not limited. For example, the "first" component may be an element of the same or similar form as the "second" component.

[0048] FIG. 1 is a functional block diagram showing the internal configuration of a computing device (100) according to one embodiment of the present invention. According to one embodiment, the computing device (100) is any device for performing registration and management of a digital twin model and integrated management of an actual facility based on a digital twin model, and may include a data acquisition unit (102), a quality review unit (104), a data registration unit (106), etc. In addition, the computing device (100) may communicate with an external device (110), a sensor (120) associated with a facility, etc., and may exchange data and / or information necessary for integrated management of the facility.

[0049] According to one embodiment, the data acquisition unit (102) of the computing device (100) may acquire digital twin model data generated based on a first criterion (e.g., a modeling guideline) including modeling rules and a second criterion (e.g., a standard information management system) including the shape and properties of an object from an external device (e.g., a user terminal) (110) of a user. Here, the first criterion including the modeling rules indicates a guideline for creating BIM (building information modeling) design drawings and may include minimum requirements for architectural design permits. In addition, the second criterion including the shape and properties of an object may include attribute information indicating the characteristics or properties of an object, such as a column, a floor, a staircase, etc., which are defined in advance, and a classification code, and the like, and may include shape information indicating the shape or state of the object. That is, the user may generate digital twin model data that conforms to the first and second criteria, and transmit the generated data to the data acquisition unit (102) via the external device (110).

[0050] When digital twin model data is acquired in this way, the quality review unit (104) of the computing device (100) can determine whether the acquired digital twin model data satisfies the quality criteria using a plurality of rules. That is, the quality review unit (104) can determine whether the digital twin model data has been created to meet the first and second criteria. Here, the plurality of rules are predefined through internal functions in a script format, and can represent, for example, those for checking whether i) the width of a staircase object is 1.5 m or more, ii) the height of a pillar object is 2 m or more, etc.

[0051] According to one embodiment, the quality review unit (104) can determine whether each object included in the digital twin model data satisfies at least some of a plurality of rules. To this end, the quality review unit (104) can first search for the ID of each object included in the digital twin model data, and recognize the shape and properties of the object based on the ID of the searched object. For example, all objects included in the digital twin model data can have a unique ID, and the quality review unit (104) can recognize the object through the ID of the object, and recognize whether the object is a BIM model object (e.g., a column, a floor, a staircase, etc.) and what size, shape, etc. it has through the property information and shape information of the object corresponding to the ID.

[0052] Then, the quality review unit (104) can determine whether the object satisfies the quality criteria based on a first set of rules corresponding to the shape and properties of the recognized object among the plurality of rules. For example, if the recognized object is a staircase object having a specific width, the quality review unit (104) can extract a first set of rules corresponding to the staircase object among the plurality of rules and review whether the object satisfies each rule included in the first set of rules. That is, the plurality of rules can be divided into a plurality of sets according to the shape and properties of the object.

[0053] According to one embodiment, if the digital twin model data is determined to not satisfy the quality criteria, the quality review unit (104) may extract objects that do not satisfy the quality criteria from among each object included in the digital twin model data, and generate a quality review report that visualizes an image of the extracted object and data related to the quality review result of the object. The quality review report generated in this way may be transmitted to an external device (110). Then, the data acquisition unit (102) may acquire digital twin model data that has been modified by a user due to an error in the object, and the quality review unit (104) may determine again whether the modified digital twin model data satisfies the quality criteria. This process may be repeatedly performed until all objects included in the digital twin model data satisfy the quality criteria.

[0054] According to one embodiment, if the quality review unit (104) determines that the digital twin model data satisfies the quality criteria, the data registration unit (106) can finally register the digital twin model data that satisfies the quality criteria on the database (130). In this case, the computing device (100) can perform monitoring and / or simulation of actual facilities associated with the digital twin model data based on the digital twin model data registered on the database (130).

[0055] Additionally or alternatively, when a change occurs in an actual facility associated with the digital twin model data, the computing device (100) may update the digital twin model data. For example, the computing device (100) may obtain sensor data corresponding to a change in the actual facility from the sensor (120) and extract an object associated with the sensor data from among each object included in the digital twin model data. Then, the computing device (100) may update the extracted object based on the obtained sensor data. In response to the update being performed in this manner, the quality review unit (104) may re-determine whether the updated digital twin model data satisfies the quality criteria.

[0056] Although each functional component included in the computing device (100) is separately described in FIG. 1, this is merely to aid understanding of the invention, and a single computing device may perform two or more functions. With this configuration, the computing device (100) can automatically perform a quality review of complex digital twin model data to detect errors or provide detected information to the user, and automatically reflect changes in actual facilities associated with the digital twin model to perform effective facility management.

[0057] FIG. 2 is an exemplary diagram illustrating a portion of digital twin model data (200) according to one embodiment of the present invention. As illustrated, the digital twin model data (or digital twin model) (200) may be configured to include a plurality of BIM model objects, such as columns, floors, and roof members. In this case, each object included in the digital twin model data (200) may be associated with data indicating an ID, attribute information, and / or shape information.

[0058] As described above, when the computing device (100 of FIG. 1) receives the digital twin model data (200), it can perform a quality review of the received digital twin model data (200). For example, the computing device can select a first object (210) included in the digital twin model data (200) and search for the ID of the selected first object (210). Then, the computing device can recognize the shape and properties of the first object (210) based on the ID of the searched first object (210). That is, information about the first object (210), the ID of the first object (210), and the shape and properties of the first object (210) on the digital twin model data (200) can be managed in association, and the computing device can extract and recognize the shape and properties associated with the first object (210) through the ID of the first object (210).

[0059] In this case, the computing device can identify the type, shape, etc. of the first object (210) using the shape and properties of the recognized first object (210), and extract a rule for quality review of the object from among a plurality of rules. Here, the plurality of rules can be generated to reflect a first criterion including a modeling rule and a second criterion including the shape and properties of the object. Then, the computing device can determine whether the shape and properties of the first object (210) meet the criteria corresponding to each rule. When the quality review of the first object (210) is completed in this way, the computing device can inspect other objects included in the digital twin model data (200).

[0060] FIG. 3 is an exemplary diagram illustrating a portion of a quality review report (300) according to one embodiment of the present invention. As described above, when the computing device (100 of FIG. 1) determines that the digital twin model data does not satisfy the quality criteria, the computing device may extract objects that do not satisfy the quality criteria from among each object included in the digital twin model data, and generate a quality review report (300) that visualizes images of the extracted objects and data related to the quality review results of the objects.

[0061] As illustrated in FIG. 3, the quality review report (300) may include the floor where the object is located in the facility, the classification, an error message, a 3D view containing the object, etc. In other words, the computing device can automatically extract the object in which an error occurred and the content of the error, visualize the extracted object, and provide it to the user. In this case, the user can review the provided quality review report (300) and modify the digital twin model data by changing the properties and / or shape of the object in which the error occurred.

[0062] When acquiring digital twin model data modified in this way, the computing device can search for the ID of each object determined to have an error among all objects, and re-perform a quality review limited to the searched objects. With this configuration, the computing device can extract only the objects in which an error has occurred among numerous objects constituting the digital twin model data, generate a quality review report (300), and provide the extracted objects to the user. The user can then easily change or modify the digital twin model data using the quality review report (300) reflecting the content.

[0063] FIG. 4 is a diagram illustrating an example of a digital twin-based facility integrated management method (400) according to one embodiment of the present invention. The digital twin-based facility integrated management method (400) may be performed by at least one processor (e.g., at least one processor of a computing device). The digital twin-based facility integrated management method (400) may be initiated by the processor acquiring digital twin model data generated based on a first criterion including a modeling rule and a second criterion including the shape and properties of an object (S410).

[0064] The processor can determine whether the acquired digital twin model data satisfies the quality criteria using a plurality of rules (S420). In this case, the processor can determine whether each object included in the digital twin model data satisfies at least some of the plurality of rules. For example, the processor can search for the ID of a first object included in the digital twin model data, recognize the shape and properties of the object based on the searched ID of the first object, and determine whether the first object satisfies the quality criteria based on a first set of rules corresponding to the recognized shape and properties of the first object among the plurality of rules.

[0065] If the digital twin model data is determined to meet the quality criteria, the processor can register the digital twin model data in the database (S430). In this case, the processor can monitor the actual facilities associated with the digital twin model data based on the digital twin model data registered in the database.

[0066] Additionally or alternatively, if the digital twin model data is determined to not satisfy the quality criteria, the processor may extract a second object from each object included in the digital twin model data that does not satisfy the quality criteria, and generate a quality review report visualizing an image of the extracted second object and data related to the quality review results of the second object. Accordingly, if the shape and properties of the second object are changed, the processor may obtain modified digital twin model data and determine whether the modified digital twin model data satisfies the quality criteria using a plurality of rules.

[0067] The processor can update the digital twin model data when changes occur in the actual facility associated with the digital twin model data. For example, the processor can acquire sensor data corresponding to changes in the actual facility, extract a third object associated with the sensor data from each object included in the digital twin model data, and update the extracted third object based on the acquired sensor data. In response to the digital twin model data being updated in this manner, the processor can use multiple rules to determine whether the updated digital twin model data satisfies quality criteria.

[0068] FIG. 5 is a block diagram showing the internal configuration of a computing device (100) according to one embodiment of the present invention. The computing device (100) may include a memory (510), a processor (520), a communication module (530), and an input / output interface (540). As illustrated in FIG. 5, the computing device (100) may be configured to communicate information and / or data via a network using the communication module (530).

[0069] The memory (510) may include any non-transitory computer-readable recording medium. According to one embodiment, the memory (510) may include a non-volatile mass storage device such as a random access memory (RAM), a read only memory (ROM), a disk drive, a solid state drive (SSD), a flash memory, etc. As another example, a non-volatile mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the computing device (100) as a separate permanent storage device distinct from the memory. In addition, an operating system and at least one program code may be stored in the memory (510).

[0070] These software components may be loaded from a computer-readable recording medium separate from the memory (510). This separate computer-readable recording medium may include a recording medium directly connectable to the computing device (100), for example, a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, a memory card, etc. As another example, the software components may be loaded into the memory (510) via a communication module (530) other than a computer-readable recording medium. For example, at least one program may be loaded into the memory (510) based on a computer program that is installed by files provided by developers or a file distribution system that distributes installation files of applications via the communication module (530).

[0071] The processor (520) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. The instructions may be provided to another user terminal (not shown) or another external system via the memory (510) or the communication module (530).

[0072] The communication module (530) may provide a configuration or function for a user terminal (not shown) and a computing device (100) to communicate with each other via a network, and may provide a configuration or function for the computing device (100) to communicate with an external system (e.g., a separate cloud system, etc.). For example, control signals, commands, data, etc. provided under the control of the processor (520) of the computing device (100) may be transmitted to the user terminal and / or the external system via the communication module (530) and the network via the communication module of the user terminal and / or the external system.

[0073] In addition, the input / output interface (540) of the computing device (100) may be a means for interfacing with a device (not shown) for input or output that is connected to the computing device (100) or that the computing device (100) may include. In FIG. 5, the input / output interface (540) is illustrated as an element configured separately from the processor (520), but is not limited thereto, and the input / output interface (540) may be configured to be included in the processor (520). The computing device (100) may include more components than those illustrated in FIG. 5. However, there is no need to explicitly illustrate most of the conventional components.

[0074] The processor (520) of the computing device (100) may be configured to manage, process and / or store information and / or data received from multiple user terminals and / or multiple external systems.

[0075] The above-described methods and / or various embodiments may be implemented by digital electronic circuits, computer hardware, firmware, software, and / or a combination thereof. Various embodiments of the present invention may be implemented as a computer program that is executed by a data processing device, for example, one or more programmable processors and / or one or more computing devices, or stored on a computer-readable recording medium and / or a computer-readable recording medium. The above-described computer program may be written in any form of programming language, including a compiled language or an interpreted language, and may be distributed in any form, such as a standalone program, a module, a subroutine, etc. The computer program may be distributed through a single computing device, multiple computing devices connected through the same network, and / or multiple computing devices distributed to be connected through multiple different networks.

[0076] The above-described methods and / or various embodiments may be performed by one or more processors configured to execute one or more computer programs that process, store, and / or manage any function, function, etc. by operating on the basis of input data or generating output data. For example, the methods and / or various embodiments of the present invention may be performed by special-purpose logic circuits such as FPGAs (Field Programmable Gate Arrays) or ASICs (Application Specific Integrated Circuits), and an apparatus and / or system for performing the methods and / or embodiments of the present invention may be implemented as special-purpose logic circuits such as FPGAs or ASICs.

[0077] The one or more processors executing the computer program may include a general-purpose or special-purpose microprocessor and / or one or more processors of any type of digital computing device. The processor may receive instructions and / or data from each of read-only memory and random-access memory, or may receive instructions and / or data from the read-only memory and the random-access memory. In the present invention, components of a computing device performing the methods and / or embodiments may include one or more processors for executing instructions, and one or more memory devices for storing instructions and / or data.

[0078] According to one embodiment, the computing device can transmit and receive data to and from one or more mass storage devices for storing data. For example, the computing device can receive and / or transfer data from a magnetic disc or an optical disc. A computer-readable storage medium suitable for storing instructions and / or data associated with a computer program may include, but is not limited to, any form of non-volatile memory, including semiconductor memory devices such as Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable PROM (EEPROM), flash memory devices, and the like. For example, the computer-readable storage medium may include a magnetic disk such as an internal hard disk or a removable disk, a magneto-optical disk, a CD-ROM, and a DVD-ROM disk.

[0079] To provide interaction with a user, a computing device may include, but is not limited to, a display device (e.g., a cathode ray tube (CRT), a liquid crystal display (LCD), etc.) for providing or displaying information to the user, and a pointing device (e.g., a keyboard, a mouse, a trackball, etc.) for allowing the user to provide input and / or commands to the computing device. That is, the computing device may further include any other types of devices for providing interaction with the user. For example, the computing device may provide any form of sensory feedback to the user, including visual feedback, auditory feedback, and / or tactile feedback, for interaction with the user. In this regard, the user may provide input to the computing device through various gestures, such as visual, vocal, or motion.

[0080] In the present invention, various embodiments may be implemented in a computing system that includes backend components (e.g., a data server), middleware components (e.g., an application server), and / or front-end components. In this case, the components may be interconnected via any form or medium of digital data communication, such as a communications network. For example, the communications network may include a Local Area Network (LAN), a Wide Area Network (WAN), etc.

[0081] A computing device based on the exemplary embodiments described herein may be implemented using hardware and / or software configured to interact with a user, including a user device, a user interface (UI) device, a user terminal, or a client device. For example, the computing device may include a portable computing device, such as a laptop computer. Additionally or alternatively, the computing device may include, but is not limited to, Personal Digital Assistants (PDAs), tablet PCs, game consoles, wearable devices, Internet of Things (IoT) devices, virtual reality (VR) devices, augmented reality (AR) devices, and the like. The computing device may further include other types of devices configured to interact with a user. Furthermore, the computing device may include a portable communication device (e.g., a mobile phone, a smart phone, a cordless cellular phone, etc.) suitable for wireless communication over a network, such as a mobile communication network. The computing device may be configured to communicate wirelessly with a network server using wireless communication technologies and / or protocols, such as Radio Frequency (RF), Microwave Frequency (MWF), and / or Infrared Ray Frequency (IRF).

[0082] The various embodiments of the present invention, including specific structural and functional details, are exemplary. Therefore, the embodiments of the present invention are not limited to those described above and may be implemented in various other forms. Furthermore, the terminology used herein is intended to describe certain embodiments and is not intended to limit the embodiments. For example, singular terms and the above may be interpreted to include plural forms, unless the context clearly dictates otherwise.

[0083] In the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by those of ordinary skill in the art to which they pertain. Furthermore, commonly used terms, such as terms defined in dictionaries, should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology.

[0084] While the present invention has been described in connection with certain embodiments herein, it should be understood that various modifications and variations can be made without departing from the scope of the invention as understood by those skilled in the art. Furthermore, such modifications and variations should be considered to fall within the scope of the claims appended to this specification.

Claims

1. A method for integrated facility management based on digital twins performed by at least one processor, A step of acquiring digital twin model data generated based on a first criterion including modeling rules and a second criterion including the shape and properties of an object; A step of determining whether the acquired digital twin model data satisfies the quality criteria using multiple rules; and If the digital twin model data is determined to satisfy the quality criteria, a step of registering the digital twin model data in a database; A method for integrated management of facilities based on digital twins including .

2. In paragraph 1, A step of monitoring an actual facility associated with the digital twin model data based on the digital twin model data registered in the database; A method for integrated facility management based on digital twins, which further includes.

3. In paragraph 1, The step of determining whether the above-mentioned acquired digital twin model data satisfies the quality criteria is as follows: A step of determining whether each object included in the digital twin model data satisfies at least some of the plurality of rules; A method for integrated management of facilities based on digital twins including .

4. In paragraph 3, The step of determining whether each object included in the above digital twin model data satisfies at least some of the above plurality of rules is: A step of searching for the ID of the first object included in the above digital twin model data; A step of recognizing the shape and properties of the object based on the ID of the first object searched for; and A step of determining whether the first object satisfies a quality criterion based on a first set of rules corresponding to the shape and properties of the recognized first object among the plurality of rules; A method for integrated management of facilities based on digital twins including .

5. In paragraph 1, The above digital twin model data is associated with actual facilities, The above method, A step of updating the digital twin model data when a change occurs on the actual facility; A method for integrated facility management based on digital twins, which further includes.

6. In paragraph 5, The steps for updating the above digital twin model data are: A step of acquiring sensor data corresponding to changes in the above actual facility; A step of extracting a third object associated with the sensor data from among each object included in the digital twin model data; and A step of updating the extracted third object based on the acquired sensor data; A method for integrated management of facilities based on digital twins including .

7. In paragraph 5, In response to the digital twin model data being updated, a step of determining whether the updated digital twin model data satisfies the quality criteria using the plurality of rules; A method for integrated facility management based on digital twins, which further includes.

8. A computer program stored in a computer-readable recording medium for executing the method according to any one of paragraphs 1 to 7 on a computer.

9. As a computing device, Communication module; memory; and At least one processor connected to said memory and configured to execute at least one computer-readable program contained in said memory Including, At least one program above, Obtain digital twin model data generated based on a first criterion including modeling rules and a second criterion including the shape and properties of an object, Using multiple rules, it is determined whether the acquired digital twin model data satisfies the quality criteria, A computing device including commands for registering the digital twin model data in a database when the digital twin model data is determined to satisfy the quality criteria.

10. In paragraph 9, At least one program above, A computing device including commands for monitoring actual facilities associated with the digital twin model data based on the digital twin model data registered in the database.

11. In paragraph 9, At least one program above, A computing device further comprising commands for determining whether each object included in the digital twin model data satisfies at least some of the plurality of rules.

12. In paragraph 11, At least one program above, Retrieve the ID of the first object included in the above digital twin model data, Recognize the shape and properties of the object based on the ID of the first object searched above, A computing device further comprising instructions for determining whether the first object satisfies a quality criterion based on a first set of rules corresponding to the shape and properties of the recognized first object among the plurality of rules.

13. In paragraph 9, The above digital twin model data is associated with actual facilities, At least one program above, A computing device further comprising commands for updating the digital twin model data when a change occurs on the actual facility.

14. In paragraph 13, At least one program above, Acquire sensor data corresponding to changes in the above actual facility, Extracting a third object associated with the sensor data from among each object included in the digital twin model data; A computing device further comprising commands for updating the extracted third object based on the acquired sensor data.

15. In paragraph 13, At least one program above, A computing device further comprising instructions for determining whether the updated digital twin model data satisfies the quality criteria using the plurality of rules in response to the digital twin model data being updated.

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