CN112770285A - Digital twin factory modeling method and device based on 5G network - Google Patents
Digital twin factory modeling method and device based on 5G network Download PDFInfo
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- CN112770285A CN112770285A CN202011564123.XA CN202011564123A CN112770285A CN 112770285 A CN112770285 A CN 112770285A CN 202011564123 A CN202011564123 A CN 202011564123A CN 112770285 A CN112770285 A CN 112770285A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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Abstract
The invention provides a digital twin factory modeling method and device based on a 5G network. The digital twin plant modeling method based on the 5G network is characterized in that a plant hierarchical structure is subjected to basic configuration, and meanwhile, data detected by sensors of actual measuring points of an actual plant are transmitted to an engineering hierarchical structure through the 5G network; and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete digital twin plant modeling, performing digital twin plant modeling by adopting a plant hierarchical modeling method and simulating data of actual measuring points into the plant hierarchical structure, and monitoring the digital twin plant through the monitoring picture to know the current operation condition of the actual plant in real time.
Description
Technical Field
The invention belongs to the field of digital factories, and particularly relates to a digital twin factory modeling method and device based on a 5G network.
Background
Most of the current factory management methods are machine account management of factory equipment, and have the problems of scattered and large running data of the equipment, low transmission speed, high missing packet rate, poor portability of factory models and the like, and real-time acquisition and transmission cannot be realized, so that real-time monitoring of factories cannot be realized.
And the digital factory of prior art is more break away from the mill itself and carry out data simulation to fit out the most efficient management scheme or production scheme, can not accomplish the operating condition who carries out real-time supervision to the production line of mill, when the equipment on the production line of mill takes place to damage, will directly lead to the production line to carry out the off-production state.
The above problems are currently in need of solution.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: a digital twin plant modeling method and device based on a 5G network are provided.
The technical scheme adopted by the invention for solving the technical problems is as follows: provided is a digital twin plant modeling method based on a 5G network, comprising the following steps:
establishing corresponding factory hierarchical structures according to different industries;
performing basic configuration on a factory hierarchical structure;
transmitting data detected by sensors of actual measuring points of an actual factory into an engineering hierarchical structure through a 5G network;
and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete the modeling of the digital twin plant.
Further, the plant hierarchy includes:
production line, control system and equipment of actual plant.
Further, the method for basic configuration of the plant hierarchy structure comprises the following steps:
configuring an equipment structure, which comprises a structure diagram, a two-dimensional appearance, a three-dimensional appearance, a two-dimensional internal structure and a three-dimensional internal structure;
configuring the part attributes of the equipment, wherein the part attributes comprise part names, part types, part codes, part numbers and superior parts;
configuring monitoring parameter attributes of a device, including: measuring point positions, measuring point codes, parameter names, parameter types and units;
configuring vibration parameter attributes of a device, comprising: standard codes, measuring point names, parameter names, measurement types, units, normal values, slight early warning values, more serious early warning values, emergency early warning values, start-stop monitoring, operation parameter upper limits, operation parameter lower limits, stop parameter upper limits, stop parameter lower limits, start parameter upper limits, start parameter lower limits, stop parameter upper limits and measuring point descriptions;
configuring a working condition mode: and converting expert experiences of different working condition modes into logic rules, and configuring the logic rules.
Further, the component type is formed by component general type, component structure type and component specific position.
Further, the method for drawing the equipment monitoring picture according to the configured factory hierarchy structure comprises the following steps:
accurately drawing a factory general map according to the system, the subsystem and the equipment;
and transmitting the data of the actual measuring points of the actual plant to equipment corresponding to the total map of the plant, thereby completing the drawing of an equipment monitoring picture and completing the modeling of the digital twin plant.
The invention also provides a digital twin factory modeling device based on the 5G network, which comprises the following components:
the factory hierarchical structure establishing module is suitable for establishing corresponding factory hierarchical structures according to different industries;
the basic configuration module is suitable for performing basic configuration on the plant hierarchical structure;
the data transmission module is suitable for transmitting data detected by the sensors of actual measuring points of an actual factory into the engineering hierarchical structure through a 5G network;
and the monitoring picture drawing module is suitable for drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete the modeling of the digital twin plant.
Further, the basic configuration module comprises:
the device structure configuration unit is suitable for configuring a device structure and comprises a structure chart, a two-dimensional appearance, a three-dimensional appearance, a two-dimensional internal structure and a three-dimensional internal structure;
the component attribute configuration unit is suitable for configuring the component attributes of the equipment, and comprises a component name, a component type, a component code, a component number and a superior component;
the monitoring parameter attribute configuration unit is suitable for configuring the monitoring parameter attribute of the equipment, and comprises the following steps: measuring point positions, measuring point codes, parameter names, parameter types and units;
the working condition configuration unit is suitable for configuring a working condition mode: and converting expert experiences of different working condition modes into logic rules, and configuring the logic rules.
Further, the monitoring picture drawing module includes:
the factory total map drawing unit is suitable for accurately drawing a factory total map according to the system, the subsystem and the equipment;
and the monitoring unit is suitable for transmitting the data of the actual measuring points of the actual plant to the equipment corresponding to the total map of the plant, so that the drawing of an equipment monitoring picture is completed, and the modeling of the digital twin plant is completed.
The invention also provides a computer readable storage medium having stored therein one or more instructions which, when executed by a processor of an apparatus for risk analysis, implement the 5G network-based digital twin plant modeling method as described above.
The present invention is also an electronic device including: a memory and a processor; at least one program instruction is stored in the memory; the processor implements the 5G network based digital twin plant modeling method as described above by loading and executing the at least one program instruction.
The invention has the beneficial effects that: the embodiment of the invention provides a digital twin factory modeling method and device based on a 5G network. The digital twin plant modeling method based on the 5G network is characterized in that a plant hierarchical structure is subjected to basic configuration, and meanwhile, data detected by sensors of actual measuring points of an actual plant are transmitted to an engineering hierarchical structure through the 5G network; and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete digital twin plant modeling, performing digital twin plant modeling by adopting a plant hierarchical modeling method and simulating data of actual measuring points into the plant hierarchical structure, and monitoring the digital twin plant through the monitoring picture to know the current operation condition of the actual plant in real time.
Drawings
The invention is further illustrated by the following figures and examples.
Fig. 1 is a flowchart of a digital twin plant modeling method based on a 5G network according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a digital twin plant modeling apparatus based on a 5G network according to an embodiment of the present invention.
Fig. 3 is a partial block diagram of an electronic device provided by an embodiment of the invention.
Detailed Description
The present invention will now be described in detail with reference to the accompanying drawings. This figure is a simplified schematic diagram, and merely illustrates the basic structure of the present invention in a schematic manner, and therefore it shows only the constitution related to the present invention.
Example 1
Referring to fig. 1, an embodiment of the present invention provides a digital twin plant modeling method based on a 5G network. A factory level modeling method is adopted, data of actual measuring points are simulated into a factory level structure to carry out digital twin factory modeling, and meanwhile, the operation condition of the current actual factory is known in real time by monitoring the digital twin factory through a monitoring picture.
Specifically, the digital twin plant modeling method based on the 5G network comprises the following steps:
s110: and establishing corresponding factory hierarchical structures according to different industries.
Specifically, the factory level is established, taking the coal mine industry as an example, and comprises a production line, a system, subsystems, equipment and measuring points, wherein the system comprises a power supply system, a lifting system, a drainage system, a wind pressing system, a ventilation system, a transportation system, a refrigeration system, an overhead passenger device and a president system.
The device comprises a device large class, a device small class, a device structure type and a device function type to define a device hierarchy.
S120: and carrying out basic configuration on the plant hierarchical structure.
Specifically, step S120 includes the following method:
configuring an equipment structure, which comprises a structure diagram, a two-dimensional appearance, a three-dimensional appearance, a two-dimensional internal structure and a three-dimensional internal structure;
and configuring the part attributes of the equipment, including part name, part type, part code, part number and superior part. Wherein the component type is formed by component general type, component structure type and component specific position.
Configuring monitoring parameter attributes of a device, including: measuring point positions, measuring point codes, parameter names, parameter types and units;
configuring vibration parameter attributes of a device, comprising: standard codes, measuring point names, parameter names, measurement types, units, normal values, slight early warning values, more serious early warning values, emergency early warning values, start-stop monitoring, operation parameter upper limits, operation parameter lower limits, stop parameter upper limits, stop parameter lower limits, start parameter upper limits, start parameter lower limits, stop parameter upper limits and measuring point descriptions;
configuring a working condition mode: and converting expert experiences of different working condition modes into logic rules, and configuring the logic rules.
S130: transmitting data detected by sensors of actual measuring points of an actual factory into an engineering hierarchical structure through a 5G network;
s140: and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete the modeling of the digital twin plant.
Specifically, step S140 includes the steps of:
s141: accurately drawing a factory general map according to the system, the subsystem and the equipment;
and S142, transmitting the data of the actual measuring points of the actual plant to equipment corresponding to the total map of the plant, thereby completing the drawing of an equipment monitoring picture and completing the modeling of the digital twin plant.
Example 2
Referring to fig. 2, the present embodiment provides a digital twin plant modeling apparatus based on a 5G network. A factory level modeling method is adopted, data of actual measuring points are simulated into a factory level structure to carry out digital twin factory modeling, and meanwhile, the operation condition of the current actual factory is known in real time by monitoring the digital twin factory through a monitoring picture. Specifically, the method comprises the following modules:
and the factory hierarchical structure establishing module is suitable for establishing corresponding factory hierarchical structures according to different industries.
And the basic configuration module is suitable for performing basic configuration on the plant hierarchical structure.
Specifically, the base configuration module includes:
the device structure configuration unit is suitable for configuring a device structure and comprises a structure chart, a two-dimensional appearance, a three-dimensional appearance, a two-dimensional internal structure and a three-dimensional internal structure;
the component attribute configuration unit is suitable for configuring the component attributes of the equipment, and comprises a component name, a component type, a component code, a component number and a superior component;
the monitoring parameter attribute configuration unit is suitable for configuring the monitoring parameter attribute of the equipment, and comprises the following steps: measuring point positions, measuring point codes, parameter names, parameter types and units;
the working condition configuration unit is suitable for configuring a working condition mode: and converting expert experiences of different working condition modes into logic rules, and configuring the logic rules.
And the data transmission module is suitable for transmitting the data detected by the sensors of the actual measuring points of the actual plant to the engineering hierarchical structure through the 5G network. The 5G communication mode is adopted to solve the problems of laggard modeling means, poor real-time performance, high missing rate and poor portability in a digital twin factory in the prior art.
And the monitoring picture drawing module is suitable for drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete the modeling of the digital twin plant.
Specifically, the monitoring picture drawing module includes:
the factory total map drawing unit is suitable for accurately drawing a factory total map according to the system, the subsystem and the equipment;
and the monitoring unit is suitable for transmitting the data of the actual measuring points of the actual plant to the equipment corresponding to the total map of the plant, so that the drawing of an equipment monitoring picture is completed, and the modeling of the digital twin plant is completed.
Example 3
Embodiments of the present invention also provide a computer-readable storage medium having one or more instructions stored therein, wherein the 5G network-based digital twin plant modeling method as provided in embodiment 1 is performed when a processor of a device for risk analysis within the one or more instructions executes the method.
In the embodiment, when the digital twin plant is modeled, the plant hierarchical structure is subjected to basic configuration, and meanwhile, data detected by sensors of actual measuring points of an actual plant are transmitted to the engineering hierarchical structure through a 5G network; and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete digital twin plant modeling, performing digital twin plant modeling by adopting a plant hierarchical modeling method and simulating data of actual measuring points into the plant hierarchical structure, and monitoring the digital twin plant through the monitoring picture to know the current operation condition of the actual plant in real time.
Example 4
Referring to fig. 3, an embodiment of the present invention further provides an electronic device, including: a memory and a processor; at least one program instruction is stored in the memory; the processor is used for realizing the 5G network-based digital twin plant modeling method provided by the embodiment 1 by loading and executing the at least one program instruction.
The memory 502 and the processor 501 are coupled in a bus that may include any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 501 and the memory 502 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 501 is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor 501.
The processor 501 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 502 may be used to store data used by processor 501 in performing operations.
In summary, the invention provides a digital twin plant modeling method and device based on a 5G network. The digital twin plant modeling method based on the 5G network is characterized in that a plant hierarchical structure is subjected to basic configuration, and meanwhile, data detected by sensors of actual measuring points of an actual plant are transmitted to an engineering hierarchical structure through the 5G network; and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete digital twin plant modeling, performing digital twin plant modeling by adopting a plant hierarchical modeling method and simulating data of actual measuring points into the plant hierarchical structure, and monitoring the digital twin plant through the monitoring picture to know the current operation condition of the actual plant in real time.
In light of the foregoing description of preferred embodiments in accordance with the invention, it is to be understood that numerous changes and modifications may be made by those skilled in the art without departing from the scope of the invention. The technical scope of the present invention is not limited to the contents of the specification, and must be determined according to the scope of the claims.
Claims (10)
1. A digital twin plant modeling method based on a 5G network is characterized by comprising the following steps:
establishing corresponding factory hierarchical structures according to different industries;
performing basic configuration on a factory hierarchical structure;
transmitting data detected by sensors of actual measuring points of an actual factory into an engineering hierarchical structure through a 5G network;
and drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete the modeling of the digital twin plant.
2. The 5G network-based digital twin plant modeling method according to claim 1, wherein the plant hierarchy includes:
production line, control system and equipment of actual plant.
3. The 5G network-based digital twin plant modeling method according to claim 2, wherein the method of infrastructure configuration of the plant hierarchy includes:
configuring an equipment structure, which comprises a structure diagram, a two-dimensional appearance, a three-dimensional appearance, a two-dimensional internal structure and a three-dimensional internal structure;
configuring the part attributes of the equipment, wherein the part attributes comprise part names, part types, part codes, part numbers and superior parts;
configuring monitoring parameter attributes of a device, including: measuring point positions, measuring point codes, parameter names, parameter types and units;
configuring vibration parameter attributes of a device, comprising: standard codes, measuring point names, parameter names, measurement types, units, normal values, slight early warning values, more serious early warning values, emergency early warning values, start-stop monitoring, operation parameter upper limits, operation parameter lower limits, stop parameter upper limits, stop parameter lower limits, start parameter upper limits, start parameter lower limits, stop parameter upper limits and measuring point descriptions;
configuring a working condition mode: and converting expert experiences of different working condition modes into logic rules, and configuring the logic rules.
4. The 5G network-based digital twin plant modeling method according to claim 3, wherein the component type is formed by a component general class, a component structural type, and a component specific position composition.
5. The 5G network-based digital twin plant modeling method according to claim 3, wherein the method of drawing the equipment monitoring screen according to the configured plant hierarchy structure comprises:
accurately drawing a factory general map according to the system, the subsystem and the equipment;
and transmitting the data of the actual measuring points of the actual plant to equipment corresponding to the total map of the plant, thereby completing the drawing of an equipment monitoring picture and completing the modeling of the digital twin plant.
6. A digital twin plant modeling apparatus based on a 5G network, comprising:
the factory hierarchical structure establishing module is suitable for establishing corresponding factory hierarchical structures according to different industries;
the basic configuration module is suitable for performing basic configuration on the plant hierarchical structure;
the data transmission module is suitable for transmitting data detected by the sensors of actual measuring points of an actual factory into the engineering hierarchical structure through a 5G network;
and the monitoring picture drawing module is suitable for drawing an equipment monitoring picture according to the configured plant hierarchical structure to complete the modeling of the digital twin plant.
7. The 5G network-based digital twin plant modeling apparatus of claim 6, wherein the base configuration module comprises:
the device structure configuration unit is suitable for configuring a device structure and comprises a structure chart, a two-dimensional appearance, a three-dimensional appearance, a two-dimensional internal structure and a three-dimensional internal structure;
the component attribute configuration unit is suitable for configuring the component attributes of the equipment, and comprises a component name, a component type, a component code, a component number and a superior component;
the monitoring parameter attribute configuration unit is suitable for configuring the monitoring parameter attribute of the equipment, and comprises the following steps: measuring point positions, measuring point codes, parameter names, parameter types and units;
the working condition configuration unit is suitable for configuring a working condition mode: and converting expert experiences of different working condition modes into logic rules, and configuring the logic rules.
8. The digital twin plant modeling apparatus based on 5G network of claim 7, wherein the monitoring picture drawing module comprises:
the factory total map drawing unit is suitable for accurately drawing a factory total map according to the system, the subsystem and the equipment;
and the monitoring unit is suitable for transmitting the data of the actual measuring points of the actual plant to the equipment corresponding to the total map of the plant, so that the drawing of an equipment monitoring picture is completed, and the modeling of the digital twin plant is completed.
9. A computer readable storage medium having one or more instructions stored therein, wherein a processor of a device for risk analysis within the one or more instructions, when executed, implements the method for 5G network based digital twin plant modeling of any of claims 1-5.
10. An electronic device, comprising: a memory and a processor; at least one program instruction is stored in the memory; the processor implements the 5G network based digital twin plant modeling method of any of claims 1-5 by loading and executing the at least one program instruction.
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| CN114637262A (en) * | 2022-03-10 | 2022-06-17 | 广东泰云泽科技有限公司 | Decision control method and system of intelligent factory digital twin information based on 5G drive |
| CN116579675A (en) * | 2023-03-28 | 2023-08-11 | 江苏省盐城环境监测中心 | Intelligent carbon emission monitoring platform based on big data |
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