A production control system construction method based on asset management shell

Abstract

This invention relates to a method for constructing a production control system based on an asset management shell, comprising the following steps: a management shell asset modeling tool encapsulates physical assets to construct an asset management shell, forming an asset management shell library; a production control model building tool imports asset management shells from the asset management shell library, constructs production line components, and associates them with product management shells, thereby outputting a production control model; a production control runtime tool imports the production control model, constructs a production execution program, and during production runtime execution, parses the production control model, parsing the associated management shells layer by layer, thereby driving the production execution of physical assets. This invention does not involve complex code refactoring; it only requires modifying the model configuration of the asset management shell and the model configuration of the production control model, thus achieving scalability of the production control system.

Description

Technical Field

[0001] This invention presents a method for building a production control system based on an asset management shell, belonging to the field of intelligent control. Background Technology

[0002] We are currently in an era of continuous technological innovation and rapid product iteration. Traditional production line automation control logic cannot adapt to the flexible production model of variable batch sizes and diverse product varieties. The integration of manufacturing and internet technology is receiving increasing attention, with more and more manufacturers building production control systems based on internet technology to achieve IT and OT convergence, overcoming the limitations of traditional automation control systems. However, due to the heterogeneity of IT and OT, the development of production control systems has become customized. Manufacturers' production control systems can only adapt to their existing equipment and are difficult to expand.

[0003] Asset management shells are a key component of Germany's Industry 4.0 theory. An asset management shell can be used to refer to anything involved in the smart manufacturing process, enabling the Internet of Things (IoT) through the concept of everything having a shell. Asset management shells transform ordinary production facilities into service-oriented industrial components, software-izing these facilities and thus enabling the integration of software and production lines. By utilizing the concept of resource management shells to build production control systems, the production system becomes scalable, providing a unified interface for physical assets and enabling the interconnection and interoperability of physical asset resources. Summary of the Invention

[0004] This invention proposes a method for building a production control system based on an asset management shell. First, a set of asset modeling tools for the management shell is constructed according to standard specifications, and the asset management shell is built through semantic configuration. Next, a production control model building tool is implemented, using the asset management shell model to build a control semantic model for the production line. Finally, a production control runtime tool is built to parse the production control semantic model and load the parsed asset management shell model file, thereby completing the construction of the production control system. This invention introduces the concept of asset management shells into the construction process of a production control system, enabling the production control system to achieve scalability, improving adaptability, and reducing enterprise production costs.

[0005] The technical solution adopted in this invention is as follows: A production control system based on an asset management shell, comprising:

[0006] The shell asset modeling tool is used to encapsulate physical assets, build asset management shells, and form an asset management shell library;

[0007] The production control model building tool is used to import asset management shells from the asset management shell library, construct production units of the production line, and associate them with the asset management shells to output the production control model.

[0008] The production control runtime tool is used to import the production control model, build the production execution program, and parse the production control model during production runtime execution. The associated management shell is parsed layer by layer, thereby driving the production execution of physical assets.

[0009] The physical assets include parts, products, field devices, control equipment, and sites.

[0010] The management shell asset modeling tool includes:

[0011] Sub-modeling is used to build multiple sub-models based on different types of physical assets;

[0012] The sub-model component manager is used to manage the various sub-models of the asset management shell;

[0013] The application API is used to enable the management shell runtime to read management shell information through the application API, thereby enabling communication between asset management shells and between asset management shells and production control runtime tools;

[0014] The management shell visualization configuration tool is used to configure the asset management shell in a semantic way. The configuration information includes the attributes of sub-models, the relationship network of sub-models, and the component management interface of sub-models.

[0015] The sub-model includes:

[0016] The communication sub-model is used to describe the communication protocols of the associated assets.

[0017] Functional sub-model, used to describe the function interface of the current asset;

[0018] The data sub-model is used to describe the data point information of the current asset;

[0019] Feature sub-model, used to describe the physical geometric features of the current asset;

[0020] The sub-model is used to describe the sub-asset composition of the current asset;

[0021] The process step model is used to describe the execution logic of production workstations in order to achieve semantic configuration of production.

[0022] Part process sub-model, used to describe the manufacturing process route of the part;

[0023] Product design BOM sub-model, used to describe the constituent parts of the current product;

[0024] The product manufacturing BOM sub-model is used to describe the product process route, and semantically describe the manufacturing process in the product manufacturing process according to the assembly process in the process BOM of the on-site production manufacturing process.

[0025] The production control model building tool includes:

[0026] Production line components are used to combine asset management shells representing workstations that have been built in the management shell modeling tool to form production units of the production line;

[0027] The associated product management shell links the product's asset management shell with the production unit, forming a production control model.

[0028] The production control runtime tool includes:

[0029] The asset management shell parser is used to load and parse the asset management shell, parse the model information in the asset management shell, and read the application API, view, data and function interface.

[0030] A production execution program is constructed to parse the production control model. Based on the associated production units, the production BOM process of the product is obtained from the product manufacturing BOM sub-model and the sub-models of the associated management shell assets, and the production execution program is constructed.

[0031] The physical asset sensing module is used to sense the connection status of physical assets, thereby simulating and predicting the execution status of the production line.

[0032] A method for constructing a production control system based on an asset management shell includes the following steps:

[0033] The asset management shell modeling tool encapsulates physical assets, constructs asset management shells, and forms an asset management shell library;

[0034] The production control model building tool imports asset management shells from the asset management shell library, constructs production line components, and associates them with product management shells to output a production control model.

[0035] The production control runtime tool imports the production control model, builds the production execution program, and parses the production control model during production runtime. The associated management shells are parsed layer by layer, thereby driving the production execution of physical assets.

[0036] The sub-model component manager manages the various sub-models of the asset management shell and performs the following steps:

[0037] Add new sub-models to the sub-models of the asset management shell, and associate them with existing sub-models according to their categories, so that the added sub-models are integrated into the sub-model association network.

[0038] Editing and modifying the sub-models in the asset management shell includes modifying semantic description information and modifying the network relationships of the sub-models;

[0039] The sub-models in the asset management shell are deleted, including deleting sub-model information and the relationship network between sub-models and other sub-models;

[0040] The query sub-model is based on semantic information, and related sub-models are also queried in a progressive manner according to the degree of association.

[0041] The production control model building tool performs the following steps:

[0042] The production line components combine the asset management shells representing workstations that have been built in the management shell modeling tool to form the production units of the production line;

[0043] The associated product management shell links the product's asset management shell with the production unit, forming a production control model.

[0044] The production control runtime tool includes:

[0045] The asset management shell parser loads and parses the asset management shell, extracts the model information within the asset management shell, and reads the application APIs, views, data, and function interfaces.

[0046] The production execution procedure is constructed by analyzing the production control model and obtaining the product manufacturing BOM process and related management shell assets from the product manufacturing BOM sub-model based on the associated production units.

[0047] The physical asset perception module senses the connection status of physical assets, thereby simulating and predicting the execution status of the production line.

[0048] The advantages of this invention are:

[0049] 1) The production control system achieves scalability. Adding processing resources and equipment, changing the product's production process route, and refactoring the product processing steps—for these operations, this invention does not involve complex code refactoring; it only requires modifying the model configuration of the asset management shell and the production control model, thus achieving scalability of the production control system.

[0050] 2) The production control system achieves adaptability. This invention converts various heterogeneous communication protocols for different processing resources and equipment into a unified application programming interface, enabling the production system to adapt to various processing equipment. Furthermore, it achieves the Internet of Things. Attached Figure Description

[0051] Figure 1This is a schematic diagram of the overall framework of the present invention. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, a detailed description is provided below with reference to the accompanying drawings.

[0053] A method for achieving flexible production based on an asset management shell includes the following steps:

[0054] Develop a management shell asset modeling tool to achieve semantic modeling of asset management shells;

[0055] Develop a tool for building production control models to achieve semantic modeling of production control models;

[0056] Build production control runtime tools, analyze production control models, and complete the construction of the production control system;

[0057] The specific tools for building and managing shell assets are as follows:

[0058] Based on the management shell standard system specifications, a semantic shell modeling tool is constructed. The physical assets for shell modeling include parts, products, field devices, control equipment, and sites. Semantic modeling of assets is performed from two dimensions: life cycle and value stream, and activity level.

[0059] The steps for constructing and managing shell asset modeling tools are as follows:

[0060] Sub-model modeling: Semantic modeling of 10 sub-models is performed according to the semantic standard specification of management shell model.

[0061] Implement a sub-model component manager: This function allows you to add, delete, edit, and query sub-models.

[0062] Implement a unified application API: For the application interface of the management shell, form a unified standard external application interface.

[0063] The asset management shell visualization configuration tool configures the open interfaces of the asset management shell semantically. Configuration information includes sub-model attributes, sub-model relationship networks, and sub-model component management interfaces.

[0064] The steps for building the production control model setup tool are as follows:

[0065] Construct the constituent units of the production line. Link the asset management shell models of the physical assets related to the production workshop to form the production line.

[0066] Associate the product management shell model. Associate the manufacturing BOM sub-model in the product management shell model with the production units of the production line.

[0067] The construction of the production control runtime tool includes the following steps:

[0068] Implement an asset management shell parser: parse asset management shell model files as a foundational module for automatically building production execution programs.

[0069] Automatically build production execution programs: Based on the production control model and the associated asset management shell model file, automatically build production execution programs.

[0070] Implement the physical asset perception module: enable automatic simulation and perception of the status of physical assets.

[0071] A method for building a production system based on an asset management shell enables the production control system to achieve flexibility, including mixed-line production with variable batch sizes and multiple product types; it enables rapid reconstruction of production control logic based on the characteristics of the underlying equipment; it enables the scalability of the production control system; and it enables the interconnection of asset resources.

[0072] The implementation method is briefly described below:

[0073] The first step involves adding a shell to the assets related to the production control system. The standard architecture for the management shell is shown in the attached document. Figure 1 The system architecture is divided into three dimensions: system level, lifecycle and value stream, and activity level. This patent covers products, field devices, control equipment, and sites at the system level; the asset layer, integration layer, communication layer, information layer, and functional layer at the activity level; and production at the lifecycle and value stream. Based on the above architecture, a semantic-based encapsulated modeling tool was constructed. Encapsulated assets include parts, products, field devices, control equipment, and sites, and semantic-based modeling of assets is performed from the lifecycle and value stream and activity level dimensions.

[0074] Next, a production control model building tool is constructed. Using a semantic modeling asset management shell model, a production control system is built according to the manufacturer's production control needs. The asset management shell is interconnected with features and bound to constraints using a unified interface, thereby realizing a production control model.

[0075] Finally, a set of production runtime tools is built to parse the production control model in real time, parse the associated management shell information, and use the communication sub-model, functional sub-model and other sub-models in the management shell to achieve communication between production control and underlying hardware assets, thereby realizing the operation of the production system.

[0076] This solution is established using the following steps:

[0077] 1) Implement a management shell asset modeling tool

[0078] 2) Tools for building production control models

[0079] 3) Build production control runtime tools

[0080] The implementation of the shell asset management modeling tool includes the following steps:

[0081] Step 1) Sub-model modeling;

[0082] Step 2) Implement the sub-model component manager;

[0083] Step 3) Implement a unified application API;

[0084] Step 4) Manage the shell visual view configuration tool

[0085] The tool for building the production control model includes the following steps:

[0086] Step 1) Construct the constituent units of the production line;

[0087] Step 2) Associate the product management shell model;

[0088] The construction of the production control runtime tool includes the following steps:

[0089] Step 1) Implement the asset management shell parser;

[0090] Step 2) Automatically build the production execution program;

[0091] Step 3) Implement the physical asset perception module;

[0092] See appendix Figure 1 This is the overall architecture diagram of the robot control system of the present invention. The architecture mainly consists of three tools: a management shell asset modeling tool, a production control model building tool, and a production control runtime tool. First, the management shell asset modeling tool is used to encapsulate physical assets, constructing asset management shells according to management shell standards and specifications, and building an asset management shell library. Next, the production control model building tool is used to import the asset management shells, construct production line components, and associate them with product management shells, thereby outputting the production control model. Finally, the production control runtime tool is used to import the production control model, construct the production execution program, and during production runtime execution, the production control model is parsed layer by layer, and the associated management shells are parsed layer by layer, thereby driving the production execution of physical assets.

[0093] The following is a detailed description of the construction process of the production control system based on the asset management shell of the present invention.

[0094] First, implement the asset management shell modeling tool. Based on the asset management shell standard specification, the asset management shell includes views, a unified application API, sub-models, and a component manager.

[0095] Step 1: Sub-model modeling. This invention abstracts 10 sub-models for products, field devices, control equipment, and site assets at the system level. These are: communication sub-model, function sub-model, data sub-model, feature sub-model, composition sub-model, process step sub-model, part process sub-model, product design BOM sub-model, product process BOM sub-model, map sub-model, and product manufacturing BOM sub-model.

[0096] Step 1.1 The communication sub-model describes the communication protocol of the assets within the asset management shell. Different communication sub-models are established based on different communication protocol standards. Table 1 below shows the communication sub-model for the OPCUA communication protocol.

[0097] Table 1

[0098]

[0099]

[0100] Step 1.2 The function sub-model describes the function interface of the current asset. The fields for describing the function sub-model are shown in Table 2 below.

[0101] Table 2

[0102] Fields name describe type Interface access type Depending on the different protocol types functionName Function Name returnValue Return value type params Parameter list

[0103] Step 1.3 The data sub-model describes the data point information of the current asset. The fields for describing the data sub-model are shown in Table 3 below.

[0104] Table 3

[0105] Fields name describe Name Data Name Data point name accessName Access Name valueType Numeric types accessType Access type Reading / Writing updateTime Update frequency

[0106] Step 1.4 The feature sub-model describes the physical geometric features of the current asset. Specific fields are shown in Table 4.

[0107] Table 4

[0108] Fields name describe name Feature Name value Parameter representation of features

[0109] Step 1.5 describes the sub-asset composition of the current asset. For example, a workstation is composed of specific equipment. The fields of the sub-model are described in Table 4.

[0110] Table 5

[0111]

[0112]

[0113] Step 1.6 describes the execution logic of a production workstation using a sub-model. A workstation is a logical processing unit, and a step describes the execution logic of that unit. The execution logic of each component device at the current workstation is chained and combined to form different processing logics, thereby achieving semantic configurability of production.

[0114] The execution logic is divided into two types of operations: command operations and listening operations. Command operations issue instructions to the device, while listening operations monitor the value of a specific data point in the data sub-model of the management shell resources to see if it has reached a predetermined data value. The model fields for command operations are shown in the table below.

[0115] Table 6

[0116] Fields name describe asset The unique URI of the asset function Functional sub-model name params Parameter list

[0117] The model fields for the listening operation are shown in the table below:

[0118] Table 7

[0119] Fields name describe asset The unique URI of the asset function Functional sub-model name variable Parameter name value Preset value

[0120] Step 1.7 The part process sub-model describes the part's manufacturing process route. The production process route semantics describe the interaction logic between the part's processing and workstations. Specific field descriptions are as follows:

[0121] Table 8

[0122] Fields name describe name Process Name processUri Unique URI for Workstation Assets Unique asset identifier function Workstation Function Interface param Parameter name value Parameter value

[0123] Step 1.8 Product Design BOM Sub-Model. The product design BOM sub-model describes the components of the current product. Information in the BOM sub-model includes the names of the components and unique network resource URIs.

[0124] Step 1.9 Product Process BOM Sub-model. The Product Process BOM sub-model describes the characteristic assembly process method of the current product parts. The following table shows the field information for the feature semantic description.

[0125] Table 9

[0126]

[0127]

[0128] Step 1.10 Product Manufacturing BOM Sub-model. The product manufacturing BOM sub-model describes the product's process route. The process routes of each component in the product design BOM are semantically described according to the assembly process in the process BOM, representing the manufacturing process in the product manufacturing process.

[0129] Step 2: Implement the sub-model component manager. The "component manager" is responsible for managing the various sub-models of the asset management shell.

[0130] Step 2.1 Implement the function of adding sub-models. Add new sub-models to the sub-models of the asset management shell. Based on the category of the sub-model, automatically associate it with existing sub-models, integrating the added sub-model into the sub-model association network. This provides the foundation for the automatic implementation of the management shell's visual view.

[0131] Step 2.2 Implement the sub-model editing function. Edit and modify the sub-models in the asset management shell. This includes modifying semantic description information and modifying the network relationships of the sub-models.

[0132] Step 2.3 Implement the sub-model deletion function. Delete the sub-models within the asset management shell. This involves not only deleting the sub-model information but also removing the network of relationships between the sub-models and verifying these relationships.

[0133] Step 2.4 Implement the function of querying sub-models. This not only involves querying the semantic information on which the sub-model is based, but also enabling the query to retrieve related sub-models of the current sub-model and to query progressively according to the degree of association.

[0134] Step 3: Implement a unified application API. A unified application API is a key technology for asset management shells to achieve interconnectivity. Manufacturing enterprises' equipment comes from manufacturers in multiple countries, industries, and using various standards, and the interfaces provided by each manufacturer vary greatly. The unified application API function of the management shell can unify these diverse interfaces, ensuring that each type, each piece of equipment, and each manufacturer's asset management shell exposes a unified standard API. The unified application API of this invention is the standard RestWebService API.

[0135] Step 4: Management Shell Visual View Configuration Tool. The management shell's view can be understood as the API information provided by the current asset management shell. The view configuration tool is an interface visual configuration tool. It configures the asset management shell's open interfaces semantically. The configured information includes sub-model attributes, sub-model relationship networks, and sub-model component management interfaces.

[0136] The next step is to develop a tool for building a production control model. This production control model integrates the management asset models involved in the production workshop, linking them together to construct a unified production control model.

[0137] Step 1: Construct the constituent units of the production line. The fundamental element of a production control system is the production unit. Combine the workstation asset management shells already constructed in the management shell modeling tool from the previous step to form the production units of the production line. The semantic description information of the constituent units includes the following representation 10. Simultaneously, the map topology relationships of each production unit also need to be described, as shown in Table 11.

[0138] Table 10

[0139]

[0140]

[0141] Table 11

[0142]

[0143] Step 2: Associate the Product Management Shell Model. Based on the constituent units of the production line, associate the product management shell model that the workshop needs to produce. Perform a one-to-one mapping association between the processing units in the production manufacturing BOM sub-model of the product management shell model and the constituent units of the production line, thereby realizing the mapping between the product management shell production manufacturing BOM and the underlying hardware equipment.

[0144] Finally, the production control runtime tool was developed. The purpose of the production control runtime tool is to load the production control model, parse the associated management shell model files, ensure that the management shell can interact with external assets through the application programming interface, support data and function view browsing, and automatically schedule the physical assets associated with each management shell model to achieve orderly production control. The production control runtime tool involves the following steps:

[0145] Step 1: Asset Management Shell Parser. The production control runtime tool can load and parse the asset management shell semantic model, parse the management shell semantic model information, and read the application APIs, views, data, and function interfaces.

[0146] Step 2: Automatically build the production execution program. The production control runtime tool can parse the production control model and automatically build the production execution program based on the associated production units, the product's manufacturing BOM process, and the associated management shell asset model.

[0147] Step 3: Implement the physical asset perception module. The production control and operation tools perceive the connection status of physical assets. The communication and functional interfaces of the physical asset management shell are used to perceive asset objects. The asset management shell is then integrated with the actual asset objects.

[0148] The above content describes a method for building a production system based on an asset management shell. This invention addresses the limitations of traditional automated control systems and the heterogeneity between IT and OT networks, which makes the development of production control systems highly customized. Manufacturer-developed production control systems are often limited to existing equipment and lack scalability. This invention proposes a method for building a production system based on asset management, achieving scalability and adaptability while reducing human resource development costs.

Claims

1. A production control system based on an asset management shell, characterized in that, include: The shell asset modeling tool is used to encapsulate physical assets, build asset management shells, and form an asset management shell library; The asset management shell modeling tool includes sub-model modeling and an application API. Sub-model modeling is used to build multiple sub-models based on different types of physical assets. These sub-models include: communication sub-model, function sub-model, data sub-model, feature sub-model, composition sub-model, process step sub-model, part process sub-model, product design BOM sub-model, product process BOM sub-model, and product manufacturing BOM sub-model. The application API is used to enable the management shell runtime to read management shell information and realize communication between asset management shells and between asset management shells and production control runtime tools. A production control model building tool is used to import asset management shells from an asset management shell library to construct production units for a production line. Each production unit includes semantic description information of its constituent units and map topology relationships between them. The tool then outputs a production control model by associating the asset management shell models with the constituent units of the production line. The production control runtime tool is used to import the production control model, parse the production control model, parse the associated management shell layer by layer, and automatically build the production execution program based on the associated production unit, the product's manufacturing BOM process, and the management shell asset model, thereby driving the production execution of physical assets.

2. The production control system based on an asset management shell according to claim 1, characterized in that, The physical assets include parts, products, field devices, control equipment, and sites.

3. A production control system based on an asset management shell according to claim 1, characterized in that, The management shell asset modeling tool includes: The sub-model component manager is used to manage the various sub-models of the asset management shell; The management shell visualization configuration tool is used to configure the asset management shell in a semantic way. The configuration information includes the attributes of sub-models, the relationship network of sub-models, and the component management interface of sub-models.

4. A production control system based on an asset management shell according to claim 3, characterized in that, The sub-model includes: The communication sub-model is used to describe the communication protocols of the associated assets. Functional sub-model, used to describe the function interface of the current asset; The data sub-model is used to describe the data point information of the current asset; Feature sub-model, used to describe the physical geometric features of the current asset; The sub-model is used to describe the sub-asset composition of the current asset; The process step model is used to describe the execution logic of production workstations to achieve semantic configuration of production; Part process sub-model, used to describe the manufacturing process route of the part; Product design BOM sub-model, used to describe the constituent parts of the current product; The product manufacturing BOM sub-model is used to describe the product process route, and semantically describe the manufacturing process in the product manufacturing process according to the assembly process in the process BOM of the on-site production manufacturing process.

5. A production control system based on an asset management shell according to claim 1, characterized in that, The production control model building tool includes: Production line components are used to combine asset management shells representing workstations that have been built in the management shell modeling tool to form production units of the production line; The associated product management shell links the product's asset management shell with the production unit, forming a production control model.

6. A production control system based on an asset management shell according to claim 1, characterized in that, The production control runtime tool includes: The asset management shell parser is used to load and parse the asset management shell, parse the model information in the asset management shell, and read the application API, view, data and function interface. A production execution program is constructed to parse the production control model. Based on the associated production units, the production BOM process of the product is obtained from the product manufacturing BOM sub-model and the sub-models of the associated management shell assets, and the production execution program is constructed. The physical asset sensing module is used to sense the connection status of physical assets, thereby simulating and predicting the execution status of the production line.

7. The method for constructing a production control system based on an asset management shell according to claim 1, characterized in that, Includes the following steps: The asset management shell modeling tool encapsulates physical assets, constructs asset management shells, and forms an asset management shell library; The production control model building tool imports asset management shells from the asset management shell library, constructs production line components, and associates them with product management shells to output a production control model. The production control runtime tool imports the production control model, builds the production execution program, and parses the production control model during production runtime. The associated management shells are parsed layer by layer, thereby driving the production execution of physical assets.

8. The method for constructing a production control system based on an asset management shell according to claim 7, characterized in that, The Sub-Model Component Manager manages the various sub-models of the Asset Management Shell and executes the following steps: Add new sub-models to the sub-models of the asset management shell, and associate them with existing sub-models according to their categories, so that the added sub-models are integrated into the sub-model association network. Editing and modifying the sub-models in the asset management shell includes modifying semantic description information and modifying the network relationships of the sub-models; The sub-models in the asset management shell are deleted, including deleting sub-model information and the relationship network between sub-models and other sub-models; The query sub-model is based on semantic information, and related sub-models are also queried in a progressive manner according to the degree of association.

9. The method for constructing a production control system based on an asset management shell according to claim 7, characterized in that, The production control model building tool performs the following steps: The production line components combine the asset management shells representing workstations that have been built in the management shell modeling tool to form the production units of the production line; The associated product management shell links the product's asset management shell with the production unit, forming a production control model.

10. The method for constructing a production control system based on an asset management shell according to claim 7, characterized in that, The production control runtime tool includes: The asset management shell parser loads and parses the asset management shell, extracts the model information within the asset management shell, and reads the application APIs, views, data, and function interfaces. The production execution procedure is constructed by analyzing the production control model and obtaining the product manufacturing BOM process and related management shell assets from the product manufacturing BOM sub-model based on the associated production units. The physical asset perception module senses the connection status of physical assets, thereby simulating and predicting the execution status of the production line.

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