KR20230087130A - A method for generating 3d digital twin model for gas pressure regulating equipment and monitoring thereof - Google Patents

Abstract

Provided is a method for monitoring gas static pressure equipment using a digital twin. The method includes the steps of: generating a three-dimensional digital twin model for gas static pressure equipment which controls the pressure of the output gas within a predetermined pressure range; receiving measurement value information from at least one sensor provided in the gas pressure equipment; and providing visual status information on the gas static pressure equipment based on the measurement value information and the three-dimensional digital twin model.

Description

Creating a 3D digital twin model for gas constant pressure equipment and monitoring method using the same

The present invention relates to constant pressure facility monitoring, and more particularly, to a gas constant pressure facility monitoring method using a digital twin.

City gas is a raw material gas supplied to consumers through pipes, and mainly uses natural gas as a raw material.

Here, natural gas is an energy resource with a high calorific value generated from sediment accumulated for a long time deep underground, and about 89% or more of its main component is methane (CH ₄ ), and in particular, liquefied natural gas (LNG) ) refers to a colorless and transparent liquid obtained by compressing the volume to 1/600 by liquefying natural gas extracted from a gas field at -162°C to facilitate storage and transportation.

This colorless and transparent liquid is vaporized through the gasification facility of Korea Gas Corporation and supplied to consumers through pipes in the form of natural gas, which is referred to as city gas.

As shown in FIG. 1, the supply of city gas goes through a system that is supplied to consumers from the supply management office through general city gas operators, and in this process, a plurality of A gas regulator (gas regulator) is essential.

In other words, the gas constant pressure facility reduces the pressure of city gas according to the place of use and maintains the pressure on the secondary side within the allowable range, and prevents pressure rise by completely closing the valve when there is no gas flow. It may mean a facility with a closing function to

As shown in FIG. 1, the voltage regulator includes a global voltage regulator, a local voltage regulator, and a single voltage regulator.

The city gate governor, which is the largest of the pressure regulators, is a facility owned by a general city gas business operator and is installed to primarily lower the pressure of city gas supplied from a gas wholesale operator (Korea Gas Corporation).

Also, a district governor is a facility owned by a general city gas business operator and is installed to supply gas to multiple users by lowering the pressure of city gas supplied from a district governor or a gas wholesaler. 2 shows an exemplary local pressure regulator.

A single pressure regulator is a facility owned by the building owner, and indicates a pressure regulator that is installed and used alone in the building.

These pressure regulators are essential facilities required for safety and environmental pollution (global warming) management in the city gas supply system, and are currently installed and managed by 34 general city gas operators in each region of the country. However, since it is used semi-permanently after installation without a special replacement cycle, the problem of increased risk due to aging of the gas regulator and its auxiliary facilities is emerging.

In order to ensure the stability of the rectifier, disassembly and inspection of the district and regional rectifier is required to be carried out at least once every two years, but there are concerns about safety accidents such as self-conduct by city gas companies and non-professional disassembly and inspection of a single rectifier. are doing

More specifically, as part of efforts for stable operation and safety management of gas constant pressure plants, the remote monitoring control (SCADA, Supervisory Control And Data Acquisition) established in the late 1990s was applied to gas constant pressure plants to build a management system. A situation room (integrated control room) is operated to conduct 24-hour monitoring. This management system has been maintained without major changes since it was established in the late 1990s.

However, general city gas business operators focus only on quick measures and countermeasures against the spread of gas supply stoppage and accidents through the remote monitoring device and integrated safety management system of gas constant pressure plants, and cannot prevent accidents or stoppages in advance. technical access is difficult. In addition, city gas plant facilities are systems built in the late 1990s, and the risk due to deterioration of pressure regulators and auxiliary facilities is increasing.

Korean Registered Patent Publication No. 10-2317411 ("Method for Predicting Risks of Offshore Structures Using Digital Twin System", Samsung Heavy Industries Co., Ltd.)

One object of the present invention to solve the above problems is to build a monitoring method and system for gas constant pressure facilities based on digital twin, and a digital twin smart management system for gas constant pressure plants through big data and artificial intelligence. is to build

In addition, more specifically, it provides an artificial intelligence operation and maintenance platform that predicts the operation of gas plant constant pressure facilities, predicts parts replacement cycle, and spread damage range of subsequent chain reactions in the event of an accident. is implemented as a digital twin to build a digital twin SCADA integrated control system for gas constant pressure plants, a cloud-based web service that enables mapping of sensor data and multilateral collaboration. Furthermore, it is to provide a monitoring method and system for gas constant pressure facilities that can increase the possibility of using remote management and non-face-to-face inspection in the future through the establishment of UX/UI-based field and situation room HMI.

In addition, one object of the present invention is to determine the degree of detail for each component constituting the gas constant pressure facility in realizing the 3D modeling for realizing the digital twin for the gas constant pressure facility, so that remote management and on-site As a guideline for the manufactured 3D model, it is possible to provide information on the 3D model and to provide modeling standards that can also activate the transaction of the 3D model.

However, the problem to be solved by the present invention is not limited thereto, and may be expanded in various ways without departing from the spirit and scope of the present invention.

A gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention for achieving the above object is performed by a computing device, and the method includes controlling the pressure of the output gas within a predetermined pressure range. Creating a 3D digital twin model for gas constant pressure equipment; receiving measurement value information from at least one sensor provided in the gas constant pressure facility; and providing visual state information on the gas constant pressure facility based on the measured value information and the 3D digital twin model.

According to one aspect, the step of generating a 3D digital twin model for the gas constant pressure facility is configured to generate a 3D digital twin model component for each of a plurality of components constituting the gas constant pressure facility, and the plurality of Each 3D digital twin model component for each of the components of may be determined to have one of a plurality of levels of detail (LOD).

According to one aspect, the plurality of LODs include a first level, a second level, a third level, a fourth level, and a fifth level, and the 3D digital twin model component of the higher level LOD is the third level of the lower level LOD. It is configured to have a higher resolution or a higher number of polygons than the dimensional digital twin model component, the level below the second level represents the degree of detail that can model the external appearance of the component, and the third level is modeling the external appearance of the component, the component Indicates the level of detail that can be confirmed by the visualization of valves included in, the numerical values or gauges expressed in components, and the fourth level or higher levels are modeling the external appearance of components, visualization of valves included in components, and numerical values or gauges expressed in components. It can indicate the degree of detail that can be modeled for subcomponents for identification, decomposition or combination of components.

According to one aspect, among the 3D digital twin model components, the pipe support has a first level LOD, the pipe external components including flanges, bolts and nuts have a second level LOD, and the main valve, sensing A valve, a pressure gauge, a differential pressure gauge, and a safety valve may have a third level LOD, and a pressure recording device, a filter, an emergency shut off valve (SSV), and a regulator may have a fourth level LOD.

According to one aspect, among the 3D digital twin model components, a safety valve is configured to have a higher resolution or polygon count than a main valve, a small valve, and a pressure gauge, and a sensor gauge, a differential pressure gauge, and a magnetic pressure recorder are configured to have a higher resolution than a main valve, a small valve, and a pressure gauge. It is configured to have a higher resolution or number of polygons, and the regulator and emergency shut-off valve may be configured to have a higher resolution or number of polygons than the sensor gauge, differential pressure gauge and magnetic pressure recorder.

According to one aspect, the 3D digital twin model includes a plurality of textures including a diffuse map, a specular map, an alpha map, a normal map, and a displacement map. (Texture) Among mapping types, it may be configured to include at least a diffuse map, a transparent map, and a normal map texture.

According to one aspect, the method configures the gas constant pressure facility by inputting the measured value information to a life management and predictive maintenance model based on a pre-learned artificial neural network before the step of providing the visual state information. It may be configured to further include determining whether at least one of the plurality of components is near end of life or whether repair is required.

According to one aspect, the providing of visual state information on the gas constant pressure facility may include outputting a display form of at least one of a plurality of components constituting the 3D digital twin model differently according to the measured value information. can be configured.

According to one aspect, the providing of visual status information on the gas constant pressure facility may include a component of the gas constant pressure facility that is determined to have an end of life or a component of the gas constant pressure facility that is determined to be in need of repair according to the predictive maintenance step. It may be configured to output a component of the 3D digital twin model corresponding to the component in a display form different from a component that is nearing the end of life or has not been determined to require repair.

According to one aspect, the providing of the visual status information on the gas constant pressure facility may include visual status information about the gas constant pressure facility to a field manager device provided for use by a field worker of the gas constant pressure facility within the gas constant pressure facility. Is configured to display the visual state information on the field manager device by transmitting, and transmitting the visual state information may be configured to be performed through a cloud-based web service.

The disclosed technology may have the following effects. However, it does not mean that a specific embodiment must include all of the following effects or only the following effects, so it should not be understood that the scope of rights of the disclosed technology is limited thereby.

According to the gas constant pressure facility monitoring method using the digital twin according to an embodiment of the present invention described above, it is possible to construct a digital twin smart management system for a gas constant pressure plant through big data and artificial intelligence. More specifically, it provides an artificial intelligence operation and maintenance platform that predicts the operation of gas plant constant pressure facilities, prediction of parts replacement cycle, and spread damage range of subsequent chain reactions in the event of an accident. Implemented as a digital twin, it is possible to build a digital twin scada integrated control system for a gas constant pressure plant, a cloud-based web service that enables mapping of sensor data and multilateral collaboration.

In addition, it is possible to provide a monitoring method and system for gas constant pressure facilities that can increase the possibility of remote management and non-face-to-face inspection in the future through the establishment of UX/UI-based field and situation room HMI.

Furthermore, in implementing 3D modeling to implement a digital twin for gas constant pressure facilities, by determining the degree of detail for each component constituting gas constant pressure facilities, it is possible to provide remote management and on-site information and also manufacture As a guideline for the 3D model, the trade of the 3D model can also be activated.

1 shows a general supply system diagram of city gas.
2 shows an exemplary local pressure regulator.
3 shows the basic configuration of the digital twin.
4 is a flowchart of a gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention.
5 is a block diagram showing the configuration of a gas constant pressure facility monitoring system according to an embodiment.
6 is an information flow diagram of a gas constant pressure facility monitoring system according to an embodiment.
7 is an exemplary diagram of a 3D model according to a level of detail (LOD).
8 is an exemplary diagram of a 3D model according to a mid-level LOD.
9 is an exemplary diagram of a 3D model according to a high-level LOD.
10 shows LOD level settings for each of a plurality of components of a gas constant pressure facility.
11 is an exemplary view of actual parts and a three-dimensional model for a regulator of a gas constant pressure facility.
12 is a block diagram illustrating an exemplary configuration of a computing device on which a method according to an embodiment of the present invention may be performed.

Since the present invention can make various changes and have various embodiments, specific embodiments are illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in more detail. In order to facilitate overall understanding in the description of the present invention, the same reference numerals are used for the same components in the drawings, and redundant descriptions of the same components are omitted.

digital twin

Digital twin technology implements twins that identically reflect the physical characteristics of real objects in the real world as 3D models in the virtual world, and analyzes and optimizes various information collected in the real world using twins in the virtual world. It is a convergence technology to derive and achieve optimization for real objects in the real world based on this.

That is, in order to minimize the cost of solving problems in the real world, the real world is simulated using the virtual world, and multiple pieces of time-series information collected from the real world are transferred to the virtual world by interoperating the real world and the virtual world. Through analysis and identification of risk factors, problems can be prevented in advance.

The digital twin virtualizes objects, systems, environments, etc. that exist in the real world and simulates them in virtual space, thereby simulating the function or dynamic motion characteristics and result changes of real objects in the real world in virtual space to derive the optimal state. Continuous adaptation and optimization can be established by applying this to the real system and allowing changes in the real system to be transferred back to the virtual system.

As a basic concept of the digital twin, the model first proposed in 2002 by Dr. Michael Greaves of the University of Michigan, USA, is a form in which real space and virtual space interlock and interact, as shown in (a) of FIG. was devised as Later, NASA's Dr. John Vickers suggested the name of the digital twin, and in 2010, NASA reflected the digital twin in the space exploration technology development roadmap, and it has been used in the space industry.

Then, based on this, as shown in (b) of FIG. 3, the concept of data collection and information processing and exchange between the physical twin and the digital twin has been developed and presented.

Since the digital twin can implement a twin in virtual space for any real object, the application range is very wide, and intuitive monitoring of real objects is possible by updating the digital twin implemented virtually through real-time data.

It has the advantage of being able to check prototypes virtually, shortening the market launch period and reducing potential failures, and being able to check various objects as integrated information throughout the entire life cycle.

Repair time and downtime can be shortened by visually checking the problem part, and objects in reality can be easily controlled through a virtual digital twin connected to reality.

Real-time on-site management and interaction are possible regardless of distance through remote control, and even complex work can be controlled in optimal conditions and optimized through simulation through real-time data analysis. In addition, it is possible to improve productivity, economic feasibility, safety, and competitiveness by helping to make optimal decisions by predicting the future through simulation.

Gas constant pressure equipment monitoring using digital twin

As discussed above, city gas is raw material gas that is supplied to consumers through pipes, and mainly uses natural gas as a raw material. It is common for gas to be vaporized and supplied to consumers through pipelines in the form of natural gas.

As shown in FIG. 1, the supply of city gas goes through a system that is supplied to consumers from the supply management office through general city gas operators, and in this process, a plurality of A gas regulator (gas regulator) is essential. In other words, the gas constant pressure facility reduces the pressure of city gas according to the place of use and maintains the pressure on the secondary side within the allowable range, and prevents pressure rise by completely closing the valve when there is no gas flow. It may mean a facility with a closing function to

These pressure regulators are essential facilities required for safety and environmental pollution (global warming) management in the city gas supply system, and are currently installed and managed by 34 general city gas operators in each region of the country. However, since it is used semi-permanently after installation without a special replacement cycle, the problem of increased risk due to aging of the gas regulator and its auxiliary facilities is emerging.

More specifically, as part of efforts for stable operation and safety management of gas constant pressure plants, the remote monitoring control (SCADA, Supervisory Control And Data Acquisition) established in the late 1990s was applied to gas constant pressure plants to build a management system. A situation room (integrated control room) is operated to conduct 24-hour monitoring. This management system has been maintained without major changes since it was established in the late 1990s.

Gases that can leak from constant pressure facilities include methane (CH ₄ ), which is a greenhouse gas that is 20 times more powerful than carbon dioxide (CO ₂ ) and has a great impact on environmental pollution. However, general city gas operators focus only on quick measures and countermeasures against the spread of gas supply stoppage and accidents through the remote monitoring device and integrated safety management system of the gas constant pressure plant, and cannot prevent accidents or stoppages in advance. technical access is difficult. In addition, city gas plant facilities are systems built in the late 1990s, and the risk due to deterioration of pressure regulators and auxiliary facilities is increasing.

The present invention is to solve this problem, and to build a monitoring method and system for gas constant pressure facilities based on digital twin. Embodiments of the present invention make it possible to build a digital twin smart management system of a gas constant pressure plant through big data and artificial intelligence.

More specifically, according to the method and system for monitoring gas constant pressure facilities using a digital twin according to embodiments of the present invention, the operation of constant pressure facilities of a gas plant, prediction of parts replacement cycle, subsequent chain reaction and diffusion damage in the event of an accident It can provide an artificial intelligence operation and maintenance platform that predicts scope.

In addition, a digital twin SCADA integrated control system for gas constant pressure facilities, a cloud-based web service that enables multilateral collaboration by realizing actual gas constant pressure facilities and 3D modeled constant pressure facility models as digital twins and mapping sensor data. It is possible to build

Through this, it is possible to provide a preventive solution through risk prediction for gas-related facilities with a very large aftershock in the event of an accident, unlike conventional SCADA systems that focus on rapid response in the event of a gas accident.

In addition, unlike the conventional SCADA system operated through a closed network dedicated to the situation room, which made it impossible to share real-time field data with field inspectors, remote monitoring using a digital twin-based SCADA system in the situation room for predictive maintenance of static pressure equipment, For example, the site and management status can be shared through a communication network such as a cloud network.

Furthermore, it is possible to increase the possibility of using remote management and non-face-to-face inspection in the future through the establishment of UX/UI-based on-site and situation room HMI (Human-Machine Interface).

4 is a flowchart of a gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention, FIG. 5 is a block diagram showing the configuration of a gas constant pressure facility monitoring system according to an embodiment, and FIG. 6 is an embodiment It is an information flow diagram of a gas constant pressure facility monitoring system according to an example. Hereinafter, a gas constant pressure facility monitoring method and system using a digital twin according to an embodiment of the present invention will be described in more detail with reference to FIGS. 4 to 6 .

First, referring to FIG. 5 , a gas constant pressure facility monitoring system according to an embodiment of the present invention is for monitoring a gas constant pressure facility 100 including a plurality of components, and includes the gas constant pressure facility 100 and Monitoring or predictive maintenance of the state of the gas constant pressure facility 100 can be performed in the control room 900, which may be located remotely.

A plurality of sensors 110 each disposed on at least one of a plurality of components may be disposed in the gas constant pressure facility 100 . The sensors 110 may include, for example, a first sensor 111 , a second sensor 112 to an Nth sensor 113 . According to one aspect, the first sensor 111 can be configured to be disposed on a first component of the plurality of components of the gas constant pressure facility 100 and the second sensor 112 to be disposed on a second component. Furthermore, the first sensor 111 is disposed between the first component and the second component among the plurality of components of the gas constant pressure facility 100, and the second sensor 112 is disposed between the second component and the third component. It may also be configured to be placed. Measurement value information of at least one sensor among a plurality of components of the gas constant pressure facility 100 may be transmitted to the computing device 910 of the situation room 900 .

The computing device 910 may be, for example, a control server, but is not limited to this name and may refer to any computing device 910 configured to monitor the gas constant pressure facility 100 . The computing device 910 may include a processor 911 and a storage medium 913. The processor 911 is configured to perform various operations and the storage medium 913 includes data related to monitoring or instructions for executing a program. may be configured to be stored.

Meanwhile, the computing device 910 may perform monitoring or predictive maintenance on the gas constant pressure facility 100 based on measurement value information from the plurality of sensors 110 of the gas constant pressure facility 100, and Visual status information about the facility 100 can be provided. According to one aspect, the current state or predictive maintenance of the gas constant pressure facility 100 based on the three-dimensional digital twin model constituting the digital twin for the previously created gas constant pressure facility 100 and the measured value information from the sensors It may be configured to visually display information related to. Such visual state information may be displayed through a display device provided in the situation room 900 . In addition, according to one aspect of the present invention, the visual status information on the gas constant pressure facility 100 is provided by field managers located in the gas constant pressure facility 100 through a communication network or communication means such as the cloud network 200. It can be transmitted to the site manager device 190 configured for use, and the site manager device 190 displays visual status information about the gas constant pressure facility 100, thereby allowing a manager located at the actual site to the gas constant pressure facility. It can be configured to visually and efficiently convey information about the current state of (100). Therefore, even when field management personnel lack expertise, efficient maintenance of the gas constant pressure facility 100 is possible through cooperation with experts, and accurate measures can be taken more quickly in the field.

Here, the site manager device 190 may be, for example, a smart device such as a tablet PC, but is not limited thereto and may be a video display device such as an HMD. The visual state information on the gas constant pressure facility 100 provided through the site manager device 190 may include at least one of virtual reality (VR), augmented reality (AR), or mixed reality (MR) content. there is. That is, visual state information about the components of the gas constant pressure facility 100 in the actual field can be displayed together, or the three-dimensional model components of the gas constant pressure facility 100 and It is also possible to display status information together.

On the other hand, in particular, in displaying visual status information about the gas constant pressure facility 100 through the site manager device 190, the computational performance of the site manager device 190 or information transmission and reception passages such as, for example, the cloud network 200 It may be required to consider the limitations of the information exchange rate or capacity of According to one aspect of the present invention, for a plurality of components constituting the gas constant pressure facility 100, considering the unique characteristics for monitoring of the gas constant pressure facility 100, the required for each of the plurality of components The level of detail (LOD) of the 3D digital twin model may be set differently. A more specific method for setting the degree of detail unique to each component of the gas constant pressure facility 100 will be described later in this specification.

Referring back to FIG. 4 , a flowchart of a method for monitoring a gas constant pressure facility using a digital twin according to an embodiment of the present invention is disclosed. A gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention may be performed by, for example, a computing device.

As shown in FIG. 4 , in the gas constant pressure facility monitoring method using the digital twin according to an embodiment of the present invention, first, the 3D digital twin for the gas constant pressure facility that controls the pressure of the output gas within a predetermined pressure range Create a model (step 410). A three-dimensional laser scan can be used, for example, to create a three-dimensional digital twin model for a gas constant pressure installation. Spatial scan cloud point extraction and transformation of the gas constant pressure facility 100 can be performed. Lightening of web-based service data can be performed through a cloud server, and standardization of a 3D model of a constant pressure facility can be performed by building a 3D model library for the gas constant pressure facility 100.

More specifically, as described above, in the gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention, in performing 3D modeling to implement a digital twin for the gas constant pressure facility, the gas constant pressure facility By determining the degree of detail for each component constituting the , it is possible to provide remote management and information on the field, and also provide a modeling standard that can activate the trade of 3D models as a guideline for manufactured 3D models. can make it

For example, a 3D digital twin model of the gas constant pressure facility 100 may be implemented through a 3D modeling visualization/lightening technology for the gas constant pressure facility 100 . It is possible to perform visualization by extracting and converting 3D scan or modeling data for the gas constant pressure facility 100 to be monitored, and to perform object classification recognition for major parts through a predetermined criterion. For example, For example, it is possible to reduce the weight of a 3D model so that real-time synchronization can be performed in a 5G web-based smart device environment. For example, extracting and converting 3D scan data for the inside and/or outside of the gas constant pressure facility 100 using a mobile handheld triangulation method, and applying BIM conversion technology of NURBS-based 3D data can

According to an embodiment of the present invention, the step of generating a 3D digital twin model for the gas constant pressure facility (step 410) includes generating a 3D digital twin model component for each of a plurality of components constituting the gas constant pressure facility. can be configured to For example, among the plurality of components constituting the gas constant pressure facility 100, for example, a regulator 3D digital twin model component can be created for the regulator, and a regulator 3D digital twin model component can be created for the regulator. can

According to one aspect of the present invention, the components of the gas constant pressure facility 100, which are created as 3D digital twin model components, can be classified into regulators, pressure regulators, emergency shutoff devices, safety valves, and other parts as the top-level part names. .

Here, according to an embodiment of the present invention, the adjuster may include, for example, AFV Harnoreg_2Inch, AFV Harnoreg_3Inch, and AMC PALACE Harnoreg_2Inch.

In addition, the pressure regulator may include, for example, PALACE Harnoreg_3Inch, DONKIN FIG 277, DONKIN Krysalis16 RMG620, DONKIN Krysalis19 RMG600, FISHER 1098EGR 61LD 2inch, FISHER 1098EGR 61LD 3inch, FISHER 1098EGR 6353, FISHER 299H can

In addition, the emergency shutdown device may include, for example, S100_2Inch, S100_3Inch, FIG305LP/MP_2Inch, FIG305LP/MP_3Inch, FEQ_2Inch, FEQ_3Inch, OPSO_2Inch, and OPSO_3Inch.

In addition, the safety valve may include, for example, 10L, 289H, ZSC150, HPR15, or FIG226.

In addition, other parts may include, for example, MainValve01_3Inch, MainValve01_4Inch, MainValve01_6Inch, MainValve02_3Inch, MainValve02_4Inch, and MainValve02_6Inch as main valves, and Smallsizevalve_2Inch_Ballvalve, Smallsizevalve_3Inch_Ballvalve, and Smallsizevalve_2Inch as small valves. _ Includes Elbowadapter, Smallsizevalve_3Inch_ Elbowadapter, Smallsizevalve_2Inch_ Teeadapter, Smallsizevalve_3Inch_ Teeadapter It may include a differential gauge, a pressure gauge, a magnetic pressure recorder 1 (RPG_001), a magnetic pressure recorder 2 (RPG_002), a magnetic pressure recorder 3 (RPG_003), a sensor gauge (Sencorgauge), and a silencer (Silencer). can

According to one aspect of the present invention, each 3D digital twin model component for each of a plurality of components may be determined to have one of a plurality of levels of detail (LOD). Accordingly, each 3D digital twin model component for each of the plurality of components may be determined to have a different level of detail.

As described above, in the case of the site manager device 190 that can be used by a site manager located in the gas constant pressure facility 100, compared to the computing device 910 for control that can be provided in the situation room 900 When a plurality of 3D digital twin model components having an excessively high LOD are displayed, the possibility that the calculation speed for displaying them may decrease due to insufficient calculation performance cannot be ruled out. Alternatively, even when a 3D model is implemented by the computing device 910 of the situation room and transmitted to the site manager device 190 as a digital information file, the data transmission/reception path for the cloud network 200, for example, transmits predetermined data. Since it may have speed or processing capacity, there is a risk that the information on the current state of the gas constant pressure facility 100 analyzed by the computing device 910 of the situation room cannot be linked to the site manager device 190 in real time. there is.

Therefore, according to one aspect of the present invention, in generating a 3D digital twin model component for each of a plurality of components constituting the gas constant pressure facility 100 in consideration of the unique characteristics of the gas constant pressure facility 100. , 3D digital twin model components having a different LOD for each component are created by presetting a multi-level level of detail (LOD), so that a 3D 3D model having a low LOD for a component that can be implemented at a relatively low level is acceptable. A digital twin model component can be created, and a 3D digital twin model component with a high LOD can be created for a component that needs to be implemented with a high degree of specificity.

That is, according to one aspect of the present invention, the production of 3D modeling applied to the digital twin model is produced according to the BIM LOD, but the LOD for each part constituting the city gas constant pressure facility, for example, the number of polygons or the resolution is BIM LOD Depending on the stage, it is possible to specifically set how much to apply and manufacture.

In relation to this, an example of the BIM LOD application step can be represented as follows. For example, the stages of BIM LOD can be divided into planning stage (LOD 100), basic design (LOD 200), implementation design (LOD 300), construction stage (LOD 400), and maintenance (LOD 500).

Here, according to the standards of Building SMART KOREA, in the case of LOD 200 to LOD 300, it is prescribed to express the modeling area, height, volume, location and direction as a combination or system of approximate quantity, shape, location and direction, and in the case of LOD 400 Combination modeling for quantity, shape, location, and direction Defined as the specification of various member and equipment specifications, and in the case of LOD 500, detailed combination modeling for quantity, shape, location, and direction Scope, quantity, quality, dimensions, location, It can be defined to include material, texture, color, etc.

On the other hand, according to the standard of LH Corporation, in the case of LOD 200, the function of the space (living room, bedroom, kitchen, dining room, bathroom, etc.) and the property selection of the shape information (location and area) were selected to include the location and coordinate property information of the geographic information. In the case of LOD 300, it is defined to include the property selection of the function and shape information of the main architectural elements (walls, floors, stairs, etc.), and in the case of LOD 400, the property selection of social infrastructure (roads, parking lots, underground structures, etc.) It is defined to include the function and shape information property selection of sub-elements (furniture, equipment, etc.), and in the case of LOD 500, it can be defined to include physical information and production manufacturing property selection.

In addition, according to the US AIA, LOD 100 includes non-geometric data or line-based work, the overall project composition and rough estimate of major members such as site, volume, area, etc. In the case of LOD 200, basic objects are expressed in 3D Main activities In the case of LOD 300, the 3D representation of detailed objects (dimensions, capacities, connectivity) includes the detailed schedule planning detail-based estimate, and in the case of LOD 400, shop drawing/fabrication and It can be configured to include a detailed representation for construction and, in the case of LOD 500, a completion estimate.

In relation to this, FIG. 7 is an exemplary diagram of a 3D model according to a low level of detail (LOD), FIG. 8 is an exemplary diagram of a 3D model according to a medium level LOD, and FIG. 9 is an exemplary diagram of a 3D model according to a high level LOD. It is an example of a dimensional model. As shown in FIGS. 7 to 9, the number of implemented components may be increased as the 3D model with low level LOD reaches the 3D model with high level LOD. The degree of detail may be increased, the number of polygons of implemented components may be increased, or the resolution of implemented components may be increased. Even in the case of the same component, it can have a different shape according to the height of the LOD level and can be formed to reproduce even more detailed parts.

According to one aspect of the present invention, a plurality of LODs that can be set for each of a plurality of components constituting the gas constant pressure facility 100 are a first level, a second level, a third level, a fourth level, and a plurality of LODs. It includes 5 levels, and the 3D digital twin model component of the upper level LOD may be configured to have a higher resolution or a higher number of polygons than the 3D digital twin model component of the lower level LOD. That is, for example, the 3D digital twin model component for each of the components of the gas constant pressure facility 100 according to one aspect of the present invention is any one of the 5 LODs of the 1st to 5th levels, for example. can be set to have

In this regard, according to one aspect, a level below the second level may indicate a level of detail capable of external modeling of at least one component constituting the gas constant pressure facility 100 . That is, a 3D digital twin model component for a component of the gas constant pressure facility 100 having a first level or a second level LOD can be configured to have a minimum degree of detail that allows external modeling of the corresponding component. , and may have as low a polygon count or resolution as possible.

According to one aspect, the third level represents external modeling of at least one component constituting the gas constant pressure facility 100, visualization of a valve included in the component, and a degree of detail in which a numerical value or gauge expressed in the component can be confirmed. can That is, the 3D digital twin model component for the component of the gas constant pressure facility 100 having the third level LOD is not only possible to model the external appearance of the component, but also materializes the degree to which the valve included in the component can be visualized. It can be set to have a degree and/or number of polygons, or resolution, and furthermore, the degree of detail and/or polygons to the extent that the 3D digital twin model can be specifically displayed to the extent that it is possible to check the numerical value or gauge expressed in the component. It can be set to have a number or resolution. Here, for example, a criterion for determining whether a valve can be visualized or whether a numerical value or a gauge can be checked can be set in advance, and, for example, a 3D digital display through a display device of a predetermined size at a predetermined magnification. When the twin model component is displayed, when a predetermined number of N subjects are examined for awareness, it is possible to determine whether or not subjects over a predetermined numerical range recognize the valve, or whether to check the numerical value or gauge, In addition, it is not limited thereto, and visualization or recognition may be determined by various methods.

Levels higher than the fourth level indicate the degree of detail that can be modeled on subcomponents for exterior modeling of components, visualization of valves included in components, verification of numerical values or gauges expressed in components, and disassembly or combination of components. can That is, the 3D digital twin model component for the component of the gas constant pressure facility 100 having the 4th level or the 5th level LOD, in addition to the 3rd level detail, the subcomponent for disassembling or combining the component It can be created to enable modeling of them. That is, a plurality of sub-components constituting a predetermined component may be independently modeled, and decomposition or combination of the predetermined component may be implemented and visualized through a 3D digital twin model component. Each of the subcomponents may be set to have a predetermined resolution or the number of polygons or more.

According to one aspect of the present invention, a minimum LOD level can be set for each of a plurality of components constituting the gas constant pressure facility 100, respectively. For example, among 3D digital twin model components constituting a 3D digital model of a gas constant pressure facility, a pipe support may be set to have a first level LOD. The pipe support may be configured to have a first level of LOD because there is no information or appearance characteristic transmitted through the corresponding component.

According to one aspect, among the 3D digital twin model components constituting the 3D digital model of the gas constant pressure facility, external pipe components including flanges, bolts and nuts may be set to have a second level LOD. Components such as these are required to have LODs that at least allow modeling of the appearance to be followed.

According to one aspect, among the 3D digital twin model components constituting the 3D digital model of the gas constant pressure facility, the main valve, the sensing valve, the pressure gauge, the differential pressure gauge, and the safety valve may be set to have a third level LOD. . The main valve, sensing valve, pressure gauge, differential pressure gauge, and safety valve are set to have a degree of detail and/or polygon count or resolution to visualize the valves included in the component, as well as enabling external modeling of the corresponding component. , When a gas constant pressure facility of mixed reality, augmented reality, or virtual reality is implemented through a 3D digital twin model, it is possible to allow the user to operate the valve by controlling the input means. Furthermore, it can be set to have a degree of specificity and/or the number of polygons, or a resolution at which the 3D digital twin model can be specifically displayed to the extent that it is possible to check the numerical value or gauge expressed in the component. Therefore, when the sensor values measured by the sensor provided in the actual gas constant pressure facility 100 are displayed through numerical values or gauges on the components of the 3D digital twin model, users can use the numerical values or gauges displayed on the components of the 3D digital twin model. By checking the information on the current state of the gas constant pressure facility 100 can be checked.

According to one aspect, among the 3D digital twin model components constituting the 3D digital model of a gas constant pressure facility, a pressure recording device, a filter, an emergency shut off valve (Slam Shut Off Valve, SSV), and a regulator are LODs of a fourth level. It can be configured to have. For these components, they can be generated so that modeling of subcomponents for decomposition or combination of the components can be performed, going beyond the third level LOD specificity. That is, a plurality of sub-components constituting a predetermined component may be independently modeled, and decomposition or combination of the predetermined component may be implemented and visualized through a 3D digital twin model component. Each of the subcomponents may be set to have a predetermined resolution or the number of polygons or more. That is, when the pressure recording device, filter, slam shut off valve (SSV), and regulator are implemented as components of the 3D digital twin model, the user receiving information from the 3D digital twin model It is possible to implement an action of disassembling into subcomponents by controlling the input means or combining them again by combining the decomposed subcomponents. Accordingly, it may be possible to conduct training and/or education on the gas constant pressure facility 100 for unskilled persons by means of the gas constant pressure facility monitoring system according to one aspect of the present invention.

Meanwhile, FIG. 10 shows LOD level settings for each of a plurality of components of the gas constant pressure facility. Referring to FIG. 10 , settings for designation of the first level to the fourth level for each component of the aforementioned gas constant pressure facility 100 are shown. In addition, even for components belonging to the same level, the degree of materialization - for example, the number of polygons or the resolution - may be set differently.

As shown in FIG. 10 , among the 3D digital twin model components, the safety valve may be configured to have a higher resolution or polygon count than the main valve, the small valve, and the pressure gauge. That is, the safety valve, main valve, small valve, and pressure gauge can all be set to have a third level LOD, but more specifically, the safety valve is configured to have a higher resolution or polygon count than the main valve, small valve, and pressure gauge. It can be. These settings may be determined based on at least one of, for example, features that the safety valve may be configured to have relatively high complexity, or high or low importance for implementation or safety.

In addition, as shown in FIG. 10, the sensor gauge, differential pressure gauge, and magnetic pressure recorder may be configured to have a higher resolution or polygon count than the safety valve. That is, the sensor gauge, the differential pressure gauge, the magnetic pressure recorder, and the safety valve may all be set to have a third level LOD, but more specifically, the sensor gauge, the differential pressure gauge, and the magnetic pressure recorder have a higher resolution or It can be configured to have a number of polygons. In the case of a gauge or recorder, it must be set to have a higher polygon count or resolution so that the numerical value or graduation can be confirmed, or for components having numerical values or graduations to provide higher visibility or convenience, even within the same LOD level It can be configured to have a high resolution or polygon count.

Referring back to FIG. 10 , the regulator and emergency shut-off valve may be configured to have a higher resolution or polygon count than the sensor gauge, differential pressure gauge, and magnetic pressure recorder. That is, the regulator and emergency shutoff valve (SSV) and the sensor gauge, differential pressure gauge and magnetic pressure recorder may be configured to have the same fourth level LOD, but the regulator and emergency shutoff valve may be configured to have the sensor gauge, differential pressure gauge and magnetic pressure recorder. It can be configured to have a higher resolution or polygon count than the pressure recorder. Adjusters and SSVs are highly likely to use configurations with relatively high complexity, and can have a relatively large number of subcomponents for disassembly and assembly, so the total number of polygons for that component is set higher than other components of the same LOD level. It can be.

In relation to this, FIG. 11 is an exemplary view of actual parts and a three-dimensional model for a regulator of a gas constant pressure facility. 11(a) shows an actual photo of the regulator provided in the gas constant pressure facility. For such a regulator, a three-dimensional digital twin model as shown in FIGS. 11(b) to 11(c) can be created. As illustrated in FIG. 11 , a 3D digital twin model for real components can be created with a specified degree of detail (LOD) for each component. As shown in (c) of FIG. 11 , a fourth level LOD is applied to the adjuster, so that each subcomponent constituting the adjuster can be separately modeled so that disassembly or assembly can be reproduced. As illustrated in FIG. 11, it is confirmed that in constructing a digital twin model for each component of the gas constant pressure facility 100, it is necessary to implement the shape maintenance and/or the number of polygons satisfying at least the LOD level according to each LOD. can

On the other hand, according to one aspect of the present invention, the components of the 3D digital twin model for each component of the gas constant pressure facility 100 are a diffuse map, a specular map, and an alpha map. Among a plurality of texture mapping types including , normal map, and displacement map, it may be configured to include at least a diffuse map, a transparency map, and a normal map texture.

In other words, for the 3D digital twin model of the gas constant pressure facility 100 according to one aspect of the present invention, among various textures (material images), a unique (diffuse) color texture of the part, a surface roughness (normal) texture, Transparent (alpha) texture, a total of 3 types of textures should be used as a basis.

In this regard, in relation to texture related to the generation of the 3D digital twin model, various texture mappings as follows may be considered.

For example, texture information that can be used for texture mapping of a 3D model is information representing the surface color of an object (eg, diffuse map), information representing the surface roughness and height of an object (eg, diffuse map) normal map, height map), information representing surface reflectivity of the object (eg, occlusion map), and the like.

In addition, it may be considered to apply a shader capable of generating a texture in real time through calculation as well as standardized image-based texture information. For example, by applying a shader, changes in the surface of an object such as all pixels, vertices, texture positions, hue, saturation, brightness, contrast, etc. used to compose an image can be generated in real time, and the normal ( Texture information can also be calculated using information about values (normal, vertical direction), general surface properties such as transparency, reflectivity, and object color, and information about the type, number, and direction of lighting.

Regarding the types of texture mapping, a diffuse map represents a texture that represents the base color of an object, and a specular map represents a texture that sets the specular light of an object. A bump/normal map may represent a texture that sets the concavity and convexity of an object.

More specifically, a diffuse map may refer to a commonly referred to texture having a color for each pixel. Since most of the colors and light that make up an object come from diffuse light, it can be applied to diffuse light to map a color texture to an object.

Even if only the diffuse map is applied, the specular light can be calculated separately, but if an arbitrary adjustment is required for the specular light in a specific part, or if the spectrum of light reflected by the diffuse light and the specular light is different, the specular light map ( Specular Map) can also be applied. The color of light is the color of light emitted from a light source, and the color of light also affects the color of an object.

On the other hand, in relation to normal mapping, a surface can be expressed in various ways by using a texture, but it is not easy to implement a sense of reality on a flat surface. In this regard, when it is necessary to create a bumpy or three-dimensional object, actually implementing the bumpy surface by additionally using vertices has the advantage of realizing the feeling of the actual surface and not feeling awkward at any angle, but the vertex There is a problem that is accompanied by performance degradation as much as it is used a lot. Since the difference in shading or color at the bend is also a shape created by light, so even a flat and low-vertex object can create a similar texture if it can imitate the light of a delicate and bumpy modeled object.

What is needed to implement diffused light is the light source vector and the normal vector of the surface after all, so if you store the normal vector of a high-level modeled object in a texture, perform texture mapping on a low-level modeled object, and then implement lighting, It is possible to imitate a three-dimensional model modeled at a high level where a three-dimensional effect can be felt. A texture in which normals are stored in this way is called a normal map, and application of such a normal texture may be referred to as normal mapping.

According to one aspect of the present invention, the components of the 3D digital twin model for each component of the gas constant pressure facility 100 among the plurality of texture maps as discussed above include at least a diffuse map, a transparent map, and a normal map texture. can be configured to In addition, according to one aspect of the present invention, the components of the 3D digital twin model for each component of the gas constant pressure facility 100 may have different types of texture maps applied to each component. For example, a diffuse map is applied to components having LODs of the first to second levels, a diffuse map and a normal map are applied to components to which LODs of the third level are applied, and LODs of the fourth level are applied. It may be configured to apply a texture including a diffuse map, a normal map, and a transparency map to the applied component.

As described above, in creating a 3D modeling for realizing a digital twin for gas constant pressure facilities, remote management and on-site information can be provided by determining the degree of detail for each component constituting gas constant pressure facilities, In addition, as a guideline for the manufactured 3D model, it is possible to provide modeling standards that can also activate the trade of the 3D model.

That is, in relation to the criteria for the BIM LOD step configuration and the number of polygons of the 3D model for each component constituting the gas constant pressure facility 100, for example, to prescribe the minimum standards that can be implemented in smart devices such as field devices It is possible to present efficient guidelines for digital twin 3-dimensional modeling in the field of gas constant pressure facilities.

In addition, by providing such a guideline, implementation of a platform for selling or sharing the generated 3D modeling can be facilitated. Through the guideline, standards such as a kind of industrial standardization are provided, and trading activities for 3D models produced according to the standards can be performed.

Meanwhile, the step of generating a 3D digital twin model for a gas constant pressure facility according to an aspect of the present invention may be performed by a computing device, and for example, the computing device 910 of the control room 900 may be utilized. 3D digital twin model through any computing device based on information from any image information acquisition device (for example, camera or 3D scanning device) for the field of the gas constant pressure facility 100, but is not limited thereto may be created, and the generated digital twin model may be stored, for example, in the storage medium 913 of the computing device 910 of the situation room 900 or stored in a remote server and provided to the situation room 900. may be

Referring back to FIG. 4 , in the gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention, measured value information may be received from at least one sensor 110 provided in the gas constant pressure facility 100. Yes (step 420).

As discussed above, the one or more sensors 110 may include a first sensor 111, a second sensor 112, and an Nth sensor 113, each of which constitutes the gas constant pressure installation 100. It may be disposed on at least one of a plurality of components, disposed between at least one of the plurality of components and another component, or disposed in an arbitrary position associated with at least one of the plurality of components.

For example, the computing device 910 of the control room 900 may receive measurement value information from at least one sensor 110 . The computing device 910 may reflect and display information on the current state of the gas constant pressure facility 100 in the 3D digital twin model of the gas constant pressure facility 100 that has been created based on the received measurement value information. Or, based on the measured value information, predictive maintenance of the gas constant pressure facility 100 is performed to generate preemptive information on the operation and maintenance of the gas constant pressure facility 100, and it is visible along with the 3D digital twin model. It can be configured to deliver to the user as.

More specifically, for example, referring back to FIG. 4 , for example, the computing device 910, based on a pre-learned artificial neural network, the life management and predictive maintenance model, the measurements received from at least one sensor 110 The input of the value information may be configured to determine whether at least one of the plurality of components constituting the gas constant pressure installation is nearing end of life or requires troubleshooting (step 430).

Life management and predictive maintenance model according to an aspect of the present invention, a predetermined artificial neural network (ANN) is used to determine the measured values from a plurality of sensors and the predictive maintenance of the gas constant pressure facility 100 accordingly It may be trained using a plurality of training data sets labeled with information. Here, as an exemplary artificial neural network type, at least one of CNN, RNN, and LSTM may be utilized, and at least one of arbitrary machine learning algorithms may be utilized, but it is not limited to a specific artificial neural network type and algorithm, and gas Any artificial neural network type and algorithm that can be used for predictive maintenance of the static pressure facility 100 can be utilized as appropriate.

Here, the preemptive information on the operation and maintenance of the gas constant pressure facility 100, which can be derived by the artificial neural network-based life management and predictive maintenance model, is, for example, among a plurality of components constituting the gas constant pressure facility. It may include whether at least one is nearing end of life or whether troubleshooting is required. For example, the output value by the life management and predictive maintenance model may be a soundness evaluation value for at least one of a plurality of components of the gas constant pressure facility 100 .

According to one aspect of the present invention, a plurality of training data sets for training an artificial neural network is a remote monitoring device for maintenance or operation of the gas constant pressure facility 100, like a conventional SCADA system of the gas constant pressure facility 100. Remote monitoring that has been used in the past, such as being used to collect information from sensors installed in static pressure equipment and determine whether an event has occurred or to be posted in text or two-dimensional graphic format on a monitor in a situation room (integrated control room) It may be created through analysis and/or processing of digital information (structured data) collected from devices and unstructured data accumulated through management activities for maintenance.

According to one aspect, the plurality of training data sets for learning of the artificial neural network may be data sets in which inputs and outputs are labeled by matching structured data and unstructured data in a time order. For example, the structured data may be a sequence of measured values from at least one or more sensors attached to the gas constant pressure installation 100 from a first point in time to a second point in time. Also, for example, the unstructured data may include maintenance history data for each of at least one or more components constituting the gas constant-pressure facility 100 from a first time point to a second time point of the gas constant-pressure facility 100. can

For example, when the maintenance history data includes a replacement history for a first component, which is any one of the components of the gas constant pressure facility 100, the training data of any one of the training datasets is the first component Training data in which measurement values from at least one or more sensors of the gas constant pressure facility at a predetermined time ahead of the replacement time by a predetermined time interval are labeled as inputs, and replacement time imminent determination information for the first component is labeled as an output. can The replacement time imminent determination information may be interpreted as whether or not the lifespan of the corresponding component is close.

For example, sensor values at a certain point in time are used as inputs, and component judgments are exemplified as outputs. , it is of course possible to have status determination information for a predetermined component at a specific point in time as an output.

According to one aspect, learning of an artificial neural network for life management of gas constant pressure facilities and generation of predictive maintenance models is performed by analyzing data collected through at least one or more pressure sensors provided in gas constant pressure facilities through artificial intelligence big data analysis. It can be performed as developing an abnormal state prediction algorithm according to pressure change exceeding a range and building a system. Here, an XGBoost (Extreme Gradient Boosting) algorithm, which is an ensemble model, may be used to predict facility risk. Among Ensemble methods based on decision trees, the XGBoost algorithm based on boosting can show excellent performance in preventing overfitting. According to one aspect, after pre-learning with the CART algorithm, errors in the CART algorithm may be repeatedly learned to improve performance.

Meanwhile, according to one aspect, the step of determining whether at least one of a plurality of components constituting the gas constant pressure facility is nearing the end of life or whether a failure repair is required (step 430) includes generating pressure stabilizer stability evaluation visualization information. It can be configured to do more. For example, an identification number for each component may be assigned to each of at least one component constituting the gas constant pressure facility, or in the case of monitoring a plurality of gas constant pressure facilities, an identification number is assigned to each gas constant pressure facility. It can be. Based on the identification number, it is possible to calculate a quantitative evaluation index based on big data using the maintenance (eg, maintenance and / or repair) history of the corresponding component or static pressure facility, and visualize it to create a 3D digital twin model. A quantitative evaluation index can be visually displayed by emphasizing the display of a corresponding static pressure facility or component through.

Referring back to FIG. 4 , a gas constant pressure facility monitoring method using a digital twin according to an embodiment of the present invention provides measurement value information from at least one sensor 110 and three-dimensional digital Based on the twin model, visual status information on the gas constant pressure facility may be provided (step 440). In other words, according to one aspect of the present invention, based on sensor value information from sensors, the current state of a gas constant pressure facility to be monitored can be reflected and displayed in real time in a 3D digital twin model for the gas constant pressure facility. .

According to one aspect, the providing of the visual state information on the gas constant pressure facility may be configured to output a different display form of at least one of a plurality of components constituting the 3D digital twin model according to the measured value information. there is. For example, various methods such as changing the display color of a component associated with a corresponding sensor or displaying a component associated with a corresponding sensor with a translucent highlight added thereto may be applied when information on a sensor measurement value equal to or higher than a preset threshold is received. there is. Alternatively, for a three-dimensional digital twin model component corresponding to a component configured to display a measured value of a sensor, for example, at least one of a pressure gauge, a sensor gauge, a differential pressure gauge, and a magnetic pressure recorder, the corresponding digital twin model component is also Similar to the components of the gas constant pressure facility, the measured sensor value can be reflected and output to be displayed through numbers or gauges. As discussed above, for model components that require verification of numerical values or gauges, for example, by applying a 4th level LOD to perform 3D modeling, users can recognize the numerical values or gauges displayed through the 3D digital twin model. can be made

On the other hand, according to one aspect of the present invention, the step of providing visual status information on the gas constant pressure facility (step 440) is a component or failure of the gas constant pressure facility that is determined to be close to the end of life according to the predictive maintenance step (step 430). Components of the 3D digital twin model corresponding to components of the gas constant pressure facility determined to be in need of repair may be output in a different display form than components not determined to be near end of life or in need of repair. For example, a first component model corresponding to a first component determined to be near end-of-life is displayed in a form with a translucent highlight having a first color, and a second component model corresponding to a second component determined to require repair. may be configured to display a form to which a translucent highlight having a second color different from the first color is added.

On the other hand, as described above, the gas constant pressure facility or at least one of the components constituting it is displayed with a 3D digital twin model or a 3D digital twin model component for a quantitative evaluation index or soundness evaluation value for maintenance. can also be configured. For example, a display level divided into a plurality of stages may be determined according to a quantitative evaluation index or a soundness evaluation value, and a translucent highlight whose transparency is determined according to the corresponding display level may be displayed in a form added to a corresponding component. there is.

Further, according to one aspect, the step of providing visual status information about the gas constant pressure facility (step 440) may include providing field personnel of the gas constant pressure facility for use within the gas constant pressure facility to the field manager device 190. It can be configured to display visual status information on the site manager device 190 by sending visual status information for the . Here, transmitting the visual state information may be performed through a web service based on the cloud 200 . Therefore, unlike the conventional SCADA system that provides information closedly in the control room 900 as discussed above, field management personnel working in the field can also provide information on the current state of the gas constant pressure facility 100 in real time. Through the 3D digital twin model, it can be understood in a more intuitive and visible form. Therefore, an efficient collaboration structure between the field manager and control room workers can also be achieved.

6 is an information flow diagram of a gas constant pressure facility monitoring system according to an embodiment. As shown in FIG. 6 , measured values from at least one or more sensors provided in the gas constant pressure facility 100 may be transmitted to a computing device in the situation room 900 (step 610), and the computing device in the situation room 900 may determine whether end of life is approaching or whether repair is required using sensor measurement values based on the AI model (step 620). In addition, it may be configured to calculate a quantitative evaluation index or soundness evaluation value as described above.

If the visual status information for the gas constant pressure facility is generated in this way, for example, the computing device of the situation room 900 can send the information to the field manager device 190, which can be used by the field manager of the gas constant pressure facility, for example, via a cloud network. Visual status information may be transmitted (step 630).

Therefore, through the computing device of the situation room 900, visual status information on the gas constant pressure facility can be provided to the worker in the situation room (step 640), and visual state information on the gas constant pressure facility can be provided to the field manager. Yes (step 650).

12 is a block diagram illustrating an exemplary configuration of a computing device on which a method according to an embodiment of the present invention may be performed. Referring to FIG. 12 , a computing system 800 may include a flash storage 810 , a processor 820 , a RAM 830 , an input/output device 840 and a power supply 850 . In addition, the flash storage 810 may include a memory device 811 and a memory controller 812 . Meanwhile, although not shown in FIG. 12 , the computing system 800 may further include ports capable of communicating with a video card, a sound card, a memory card, a USB device, or the like, or with other electronic devices. .

The computing system 800 may be implemented as a personal computer or as a portable electronic device such as a notebook computer, a mobile phone, a personal digital assistant (PDA), and a camera.

Processor 820 can perform certain calculations or tasks. Depending on the embodiment, the processor 820 may be a micro-processor or a central processing unit (CPU). The processor 820 communicates with the RAM 830, the input/output device 840, and the flash storage 810 through a bus 860 such as an address bus, a control bus, and a data bus. communication can be performed.

According to one embodiment, the processor 820 can also be coupled to an expansion bus, such as a Peripheral Component Interconnect (PCI) bus.

The RAM 830 may store data necessary for the operation of the computing system 800 . Any type of random access memory including, for example, DRAM, mobile DRAM, SRAM, PRAM, FRAM, MRAM, RRAM, RAM (830).

The input/output device 840 may include input means such as a keyboard, keypad, and mouse, and output means such as a printer and a display. The power supply 850 can supply an operating voltage necessary for the operation of the computing system 800 .

The method according to the present invention described above may be implemented as computer readable codes on a computer readable recording medium. Computer-readable recording media includes all types of recording media in which data that can be decoded by a computer system is stored. For example, there may be read only memory (ROM), random access memory (RAM), a magnetic tape, a magnetic disk, a flash memory, an optical data storage device, and the like. In addition, the computer-readable recording medium may be distributed in computer systems connected through a computer communication network, and stored and executed as readable codes in a distributed manner.

Although the above has been described with reference to the drawings and examples, it does not mean that the scope of protection of the present invention is limited by the drawings or examples, and those skilled in the art will understand the scope of the present invention described in the claims below. It will be understood that various modifications and changes may be made to the present invention without departing from the spirit and scope.

Specifically, the described features may be implemented within digital electronic circuitry, or within computer hardware, firmware, or combinations thereof. Features may be implemented in a computer program product embodied within storage, eg, in a machine-readable storage device, for execution by a programmable processor. And features can be performed by a programmable processor executing a program of instructions to perform the functions of the described embodiments by operating on input data and generating output. The described features include at least one programmable processor, at least one input device, and at least one output device coupled to receive data and instructions from and to transmit data and instructions to the data storage system. It can be executed within one or more computer programs that can be executed on a programmable system including. A computer program includes a set of instructions that can be used directly or indirectly within a computer to perform a particular action for a given result. A computer program is written in any programming language, including compiled or interpreted languages, and contained as modules, components, subroutines, or other units suitable for use in other computer environments, or as stand-alone programs. can be used in any form.

Suitable processors for execution of a program of instructions include, for example, both general and special purpose microprocessors, and either a single processor or multiple processors in a computer of another type. Also, storage devices suitable for embodying computer program instructions and data embodying the described features include, for example, semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, magnetic memory devices such as internal hard disks and removable disks. devices, magneto-optical disks and all forms of non-volatile memory including CD-ROM and DVD-ROM disks. The processor and memory may be integrated within or added by ASICs (application-specific integrated circuits).

Although the present invention described above has been described based on a series of functional blocks, it is not limited by the above-described embodiments and the accompanying drawings, and various substitutions, modifications, and changes are made within the scope of the technical spirit of the present invention. That this is possible will be apparent to those skilled in the art.

Combinations of the above-described embodiments are not limited to the above-described embodiments, and various types of combinations may be provided as well as the above-described embodiments according to implementation and/or needs.

In the foregoing embodiments, the methods are described on the basis of a flow chart as a series of steps or blocks, but the present invention is not limited to the order of steps, and some steps may occur in a different order or concurrently with other steps as described above. there is. In addition, those skilled in the art will understand that the steps shown in the flow chart are not exclusive, that other steps may be included, or that one or more steps of the flow chart may be deleted without affecting the scope of the present invention. You will understand.

The foregoing embodiment includes examples of various aspects. It is not possible to describe all possible combinations to represent the various aspects, but those skilled in the art will recognize that other combinations are possible. Accordingly, it is intended that the present invention cover all other substitutions, modifications and variations falling within the scope of the following claims.

Claims (10)

A gas constant pressure facility monitoring method using a digital twin, the method being performed by a computing device, the method comprising:
generating a three-dimensional digital twin model for a gas constant pressure facility that controls the pressure of output gas within a predetermined pressure range;
receiving measurement value information from at least one sensor provided in the gas constant pressure facility; and
A method for monitoring gas constant pressure facilities using a digital twin, comprising providing visual status information on the gas constant pressure facilities based on the measured value information and the 3D digital twin model.
According to claim 1,
The step of generating a 3D digital twin model for the gas constant pressure facility,
It is configured to generate a three-dimensional digital twin model component for each of a plurality of components constituting the gas constant pressure facility,
Each 3-dimensional digital twin model component for each of the plurality of components is determined to have one of a plurality of levels of detail (LOD), a gas constant pressure facility monitoring method using a digital twin.
According to claim 2,
The plurality of LODs include a first level, a second level, a third level, a fourth level, and a fifth level, and a 3D digital twin model component of an upper level LOD is a 3D digital twin model component of a lower level LOD. It is configured to have a higher resolution or higher polygon count than
Levels below the second level indicate the degree of detail that can model the external appearance of the component,
The third level represents the degree of detail that allows external modeling of the component, visualization of valves included in the component, and confirmation of numerical values or gauges expressed in the component,
Levels higher than the fourth level indicate the degree of detail that can be modeled on subcomponents for exterior modeling of components, visualization of valves included in components, verification of numerical values or gauges expressed in components, and disassembly or combination of components. , Gas constant pressure facility monitoring method using digital twin.
According to claim 3,
Among the three-dimensional digital twin model components,
The pipe support has a first level LOD,
Pipe external components, including flanges, bolts and nuts, have a second level of LOD,
The main valve, sensing valve, pressure gauge, differential pressure gauge and safety valve have a third level LOD,
A method for monitoring a gas constant pressure facility using a digital twin, wherein a pressure recording device, a filter, a slam shut off valve (SSV), and a regulator are configured to have a fourth level LOD.
According to claim 4,
Among the three-dimensional digital twin model components,
The safety valve is configured to have a higher resolution or polygon count than the main valve, the small valve and the pressure gauge,
The sensor gauge, the differential pressure gauge, and the magnetic pressure recorder are configured to have a higher resolution or polygon count than the safety valve,
The regulator and the emergency shut-off valve are configured to have a higher resolution or number of polygons than the sensor gauge, differential pressure gauge, and magnetic pressure recorder.
According to claim 1,
The 3D digital twin model,
Among a plurality of Texture Mapping types including Diffuse Map, Specular Map, Alpha Map, Normal Map, and Displacement Map,
A method for monitoring a gas constant pressure facility using a digital twin, configured to include at least a diffuse map, a transparency map, and a normal map texture.
According to claim 1,
The method,
Prior to the step of providing the visual state information, by inputting the measured value information into a pre-learned artificial neural network-based life management and predictive maintenance model, for at least one of a plurality of components constituting the gas constant pressure facility A method for monitoring a gas constant pressure facility using a digital twin, further comprising determining whether end of life is near or whether a malfunction is required.
According to claim 7,
The step of providing visual status information on the gas constant pressure facility,
A gas constant pressure facility monitoring method using a digital twin, configured to output a display form of at least one of a plurality of components constituting the three-dimensional digital twin model differently according to the measured value information.
According to claim 8,
The step of providing visual status information on the gas constant pressure facility,
According to the predictive maintenance step, the component of the 3D digital twin model corresponding to the component of the gas constant pressure facility determined to be near end of life or the component of the gas constant pressure facility determined to require repair is near end of life or requires repair. A method for monitoring a gas constant pressure facility using a digital twin, configured to output in a display form different from a component that is not determined as
According to claim 9,
The step of providing visual status information on the gas constant pressure facility,
A field worker of the gas constant pressure facility is configured to transmit visual status information about the gas constant pressure facility to a field manager device provided for use within the gas constant pressure facility, and display the visual status information on the field manager device;
Transmission of the visual status information is performed through a cloud-based web service, a gas constant pressure facility monitoring method using a digital twin.

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