CN114253228B - A digital twin-based industrial equipment object modeling method and device - Google Patents

Abstract

The invention discloses a digital twin-based industrial equipment object modeling method and device, which includes constructing a standard equipment model based on equipment attribute information and equipment logical framework; quoting the instantiation information of the equipment to the standard equipment model for configuration, and constructing each equipment physical model; based on the function and location, each device physical model is assigned a location identifier and a function identifier; by mapping the location identifier and the function identifier, the device physical code and functional location code of each device are obtained; based on the device physical code and functional location Code, associate the physical model of each device to form a panoramic data model of the device. By establishing an equipment standard model and associated panoramic business data, the present invention realizes the correlation between business logic and spatial and geographical panoramic data, enables industrial big data to be concretely presented, and can manage and regulate industrial equipment in real time, greatly improving the efficiency of industrial big data. Data utilization efficiency and equipment operation and management efficiency.

Description

A digital twin-based industrial equipment object modeling method and device

Technical field

The present invention relates to the field of computer software technology, and in particular to a digital twin-based industrial equipment object modeling method and device.

Background technique

With the rapid development of the national economy, various industries are promoting the interconnection of massive terminals and digital twin projects of enterprises and industries. The national “double carbon” goal also puts forward higher requirements for various industrial sectors.

There are various types of industrial equipment terminal manufacturers, models, communication protocols, management requirements, etc. What has been modeled is not dynamically related to the surrounding data, and there is no more support for the production operation and safety control of the enterprise.

Existing technologies have also conducted some research on this. For example, Chinese patent application CN111025962A discloses a panoramic-based indoor visual monitoring method for power transformation and distribution stations. However, the so-called panorama is a spatial and geographical observation angle and does not implement business logic. Panoramic data association on.

Therefore, it is necessary to establish a standardized equipment model based on digital twin technology and perform panoramic data correlation to provide enterprises with dynamic real-time control and management capabilities.

Contents of the invention

In view of this, the present invention proposes a digital twin-based industrial equipment object modeling method and device, aiming to solve the problem that the existing technology cannot establish physical and virtual equivalence and real-time correlation of equipment, and avoid the various problems of various equipment. This physical model is out of touch with actual applications and business data, thereby materializing enterprise equipment in the Internet of Things and greatly improving the efficiency of industrial big data application.

In order to achieve the above technical goals, the technical solutions of the present invention include:

A digital twin-based industrial equipment object modeling method, the steps include:

1) Build a standard device model based on device attribute information and device logical framework;

2) Configure the instantiation information of the device by referencing the standard device model, build the physical model of each device, and assign location identifiers and function identifiers to each device physical model based on its function and location;

3) By mapping the location identifier with the function identifier, the device physical code and functional location code of each device are obtained, and based on the device physical code and functional location code, the physical model of each device is associated to form a panoramic device data model.

Further, obtain device attribute information through the following steps:

1) Collect massive amounts of original equipment information;

2) Preprocess the original information of the device, where the preprocessing includes: unification, deduplication and standardization;

3) Construct a device status value dictionary and standardize the device status value dictionary;

4) Obtain device attribute information based on the preprocessed original device information and the standardized device status value dictionary.

Further, the device attribute information includes: inherent characteristics, usage characteristics and relationship characteristics.

Further, the inherent characteristics include: a list of equipment models and measurement information corresponding to each model.

Further, the usage characteristics include: fault information and corresponding codes, status information and corresponding codes, and technical parameters, where each corresponding code is obtained according to a standardized equipment status value dictionary.

Further, the relationship features include: parts list.

Further, build the device logical framework through the following steps:

1) Sort out the logical hierarchy and topology of equipment in all fields;

2) Carry out top-level design of equipment in the entire field based on the hierarchical division and connection relationships of equipment to build a logical framework for the equipment.

Further, the instantiation information includes: the quantity, model, location, size and usage status of each type of equipment.

Further, the configuration includes: cropping operation, copying operation, model configuration operation and mapping operation.

Further, based on the device panoramic data model, all historical and real-time data of a certain device or a certain type of device are obtained through the following steps:

1) The equipment panoramic data model obtains the holographic status data of the digital twin equipment model;

2) Based on the holographic status data, establish a panoramic data set around various types of equipment and generate an equipment theme library;

3) Obtain all historical and real-time data of a certain device or a certain type of device based on the device theme database.

A storage medium in which a computer program is stored, wherein the computer program is configured to execute the above method when running.

An electronic device includes a memory and a processor, wherein the memory stores a program for executing the above method.

Compared with the existing technology, the present invention has the following beneficial effects:

1) By establishing equipment standard models, industrial equipment can be digitally twinned more effectively and the efficiency of industrial big data utilization can be improved;

2) By associating panoramic business data, the business logic is associated with spatial and geographical panoramic data, which enables the concrete presentation of industrial big data, enables real-time management and regulation of industrial equipment, and greatly improves the efficiency of equipment operation and management.

Description of drawings

Figure 1 is a flow chart of equipment modeling of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only specific embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

The industrial equipment object modeling method of the present invention, as shown in Figure 1, includes processes such as building a standard model, equipment instantiation modeling, building a panoramic equipment data model, and digital twin services to achieve real-time IoT for equipment, specifically as follows:

S10: Obtain the original information of hydropower equipment, standardize the original information, design and sort out the logical hierarchical structure of the equipment, and build a standard equipment model.

1) Obtain device attribute information

Collect massive amounts of original equipment information, unify, deduplicate, and standardize the original equipment information, and standardize equipment status value dictionaries and other related information to obtain comprehensive, complete, and detailed attribute information, so as to conduct equipment attribute evaluation. detailed design.

Among them, attribute information includes but is not limited to: inherent characteristics, usage characteristics, and relationship characteristics. Inherent features include but are not limited to: list of equipment models from each manufacturer and measurement information corresponding to each model; usage features include but are not limited to: fault information and codes, status information and codes (equipment status value dictionary), technical parameters; relationship features Includes parts list and more.

2) Design the equipment logical framework

The top-level design should be as complete and comprehensive as possible, and the necessary and feasible scope can be selected based on the actual situation. Therefore, it is necessary to sort out the logical hierarchy and topology of equipment in the entire field, including the hierarchical division and connection relationships of equipment, and carry out top-level design of equipment in the entire field to build a logical framework for the equipment.

3) Build a standard equipment model

Abstract all device attributes and device logical framework to form a standard device model, and use computer language to define the model in a standard way.

S20: Obtain device instantiation information and perform instance modeling.

In this embodiment, it is necessary to collect the instantiation information of the power plant, such as the quantity, model, location, size, usage status, etc. of each type of equipment. This instantiation information can be obtained by collecting equipment ledgers, drawings and other materials.

Based on the standard model, it is necessary to specify a specific equipment entity, such as the No. 1 turbine of xx power plant. The instantiation information of the equipment is configured by referencing the standard equipment model. Through operations such as cutting, copying, model configuration, and mapping, it is created The device physical model contains all basic information surrounding the device, including the hierarchical structure and attribute information of the device.

Classify or partition each equipment physical model according to function and location, and assign location identification and function identification to each equipment physical model.

S30: Obtain device-related business information, perform panoramic data association, and build a device panoramic data model.

1) Equipment physical code and functional location code

Depending on the business characteristics, some business data is related to the functional location of the device, while some business data is related to the physical device. Therefore, the location identifier and the function identifier need to be mapped first, so that each location will have a unique physical object installed at the same time. equipment.

Afterwards, based on each device and its location information, the device physical code and functional location code of each device are obtained.

2) Build a panoramic data model of equipment

Based on the physical coding and functional location code of the equipment, all data generated around the equipment can be associated according to the physical model of the equipment, and business data can be associated and integrated to form a panoramic equipment data model.

S40: Provide digital twin services for industrial equipment for enterprises.

After obtaining the holographic status data in real time from the power equipment model based on the digital twin, users can establish a panoramic data set around various types of equipment based on the equipment panoramic data model, and use the panoramic data set as an equipment theme library. Based on the device theme library, users can not only directly obtain all data associated with a certain device or a certain type of device, filter and combine related business data based on dimensions such as device class or physical device, but also calculate the business status of related devices in real time. Perform data services such as role access or function operations.

In addition, it should be noted that the system embodiments described above are only illustrative and do not limit the scope of the present invention. In practical applications, those skilled in the art can select some of them according to actual needs. All steps are used to achieve the purpose of this embodiment, and are not limited here. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (8)

1. An industrial equipment object modeling method based on digital twinning comprises the following steps:

1) Constructing a standard equipment model based on the equipment attribute information and the equipment logic framework;

2) Configuring instantiation information of the equipment by referring to a standard equipment model, constructing a physical model of each equipment, and giving a position identifier and a function identifier to each equipment physical model based on the functions and the positions; wherein the instantiation information includes: the number, model, location, size and usage status of each type of device, the configuration comprising: cutting operation, copying operation, model configuration operation and mapping operation;

3) And mapping the position identifier and the function identifier to obtain the equipment physical code and the function position code of each equipment, and associating the physical model of each equipment based on the equipment physical code and the function position code to form an equipment panoramic data model.

2. The method of claim 1, wherein the device attribute information is obtained by:

1) Collecting massive original information of equipment;

2) Preprocessing original information of the equipment, wherein the preprocessing comprises the following steps: unifying, de-duplication and standardization;

3) Constructing an equipment state value dictionary, and carrying out standardized processing on the equipment state value dictionary;

4) And obtaining the equipment attribute information based on the preprocessed equipment original information and the standardized equipment state value dictionary.

3. The method of claim 2, wherein the device attribute information comprises: intrinsic characteristics, usage characteristics and relational characteristics.

4. A method as claimed in claim 3, wherein the inherent characteristics comprise: the equipment model list and the measurement information corresponding to each type; the use characteristics include: fault information, corresponding codes, state information, corresponding codes and technical parameters, wherein each corresponding code is acquired according to a standardized equipment state value dictionary; the relationship features include: a parts list.

5. The method of claim 1, wherein the device logic framework is constructed by:

1) Carding the logic level and the topology structure of the equipment in the whole field;

2) And carrying out top-level design on the equipment in the whole field based on the hierarchical division and connection relation of the equipment so as to construct an equipment logic framework.

6. The method of claim 1, wherein all historical and real-time data for a device or class of devices is obtained based on the device panoramic data model by:

1) Acquiring holographic state data of a digital twin equipment model by the equipment panoramic data model;

2) According to the holographic state data, a panoramic data set surrounding various devices is established, and a device subject library is generated;

3) And acquiring all historical and real-time data of a certain device or a certain type of device based on the device subject library.

7. A storage medium having a computer program stored therein, wherein the computer program is arranged to perform the method of any of claims 1-6 when run.

8. An electronic device comprising a memory, in which a computer program is stored, and a processor arranged to run the computer program to perform the method of any of claims 1-6.