Method and device for constructing production equipment operation control function model

Abstract

The present application provides a method and device for constructing a production equipment operation control function model, and relates to the field of model construction technology. The method includes: decomposing from top to bottom layer by layer to obtain a tree-structured production equipment operation control function model; obtaining interface requirement information and determining the interface content setting information of the model; determining the top-level functional activity information of the model and constructing a top-level functional reference model; determining the sub-level functional activity information of the model and constructing a sub-level functional reference model; obtaining standard text data in the field of production equipment operation control and performing topic clustering; matching the feature word topic set with the sub-level functional reference model to construct an underlying reference resource pool. By performing topic clustering on standard texts in the field of production equipment operation control, the present application can quickly extract the equipment operation control business logic, functional requirements and control methods in the standard text, thereby effectively improving the efficiency and comprehensiveness of constructing the production equipment operation control function model.

Description

Technical Field

[0001] The present application relates to the technical field of model construction, and in particular to a method and device for constructing a production equipment operation control function model. Background Art

[0002] The production equipment operation control function model is a comprehensive system framework, which covers multiple functional modules such as status monitoring, scheduling, maintenance, fault diagnosis, etc. in the process of equipment operation control. By connecting related functional modules based on business logic for coordinated operations, the requirements of production equipment operation control can be met.

[0003] However, the production equipment operation control functional modules have numerous levels, diverse constraints and complex interactions. Due to the lack of a systematic unified framework for model construction, it is impossible to efficiently and comprehensively build a production equipment operation control functional model that meets the needs of the enterprise. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method and device for constructing a production equipment operation control function model, so as to improve the efficiency and comprehensiveness of constructing the production equipment operation control function model.

[0005] In a first aspect, an embodiment of the present application provides a method for constructing a production equipment operation control function model, including:

[0006] Based on the preset application requirements, the production equipment operation control function model is decomposed layer by layer from top to bottom to obtain a production equipment operation control function model with a tree structure;

[0007] Acquire interface requirement information of the production equipment operation control function model, and determine interface content setting information of the production equipment operation control function model based on the interface requirement information;

[0008] Determine the top-level function activity information of the production equipment operation control function model, and construct a top-level function reference model of the production equipment operation control function model based on the top-level function activity information;

[0009] Determine the sub-layer function activity information of the production equipment operation control function model, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information;

[0010] Acquire standard text data corresponding to the field of production equipment operation control, and perform topic clustering based on the standard text data to obtain a plurality of feature word topic sets corresponding to the standard text data;

[0011] The plurality of feature word topic sets are matched with the sub-layer functional reference model to construct a bottom-layer reference resource pool corresponding to the production equipment operation control functional model.

[0012] In some possible embodiments, the production equipment operation control function model is decomposed layer by layer from top to bottom based on preset application requirements to obtain a production equipment operation control function model with a tree structure, including:

[0013] The IDEF0 functional modeling method is used to decompose the production equipment operation control function model from top to bottom layer by layer until the decomposed production equipment operation control function model meets the preset application requirements, and a tree-structured production equipment operation control function model is obtained;

[0014] Among them, each functional module of the tree-structured production equipment operation control functional model includes input elements, output elements, constraint elements and supporting elements; the input elements are used to represent the data objects required by the corresponding functional modules, and the output elements are used to represent the output results of the corresponding functional modules; the constraint elements are used to represent the constraint rules of the corresponding functional modules, and the supporting elements are used to represent the supporting resources of the corresponding functional modules.

[0015] In some possible embodiments, the obtaining interface requirement information of the production equipment operation control function model, and determining interface content setting information of the production equipment operation control function model based on the interface requirement information, includes:

[0016] Obtaining first interface interaction requirement information between the production equipment operation control function model and an external business system, and obtaining second interface interaction requirement information between the production equipment operation control function model and an underlying device;

[0017] Based on the preset IDEF0 grammar rules, the interface content corresponding to the first interface interaction requirement information and the second interface interaction requirement information is determined to obtain the interface content setting information corresponding to the production equipment operation control function model.

[0018] In some possible embodiments, determining the top-level function activity information of the production equipment operation control function model, and constructing the top-level function reference model of the production equipment operation control function model based on the top-level function activity information includes:

[0019] Determine the top-level function module of the production equipment operation control function model according to the preset production equipment operation control function activity type; the top-level function module includes an equipment asset management function module, an equipment maintenance management function module and an equipment application management function module;

[0020] Based on the preset IDEF0 grammar rules, the interactive interface information corresponding to each of the top-level functional modules is determined, and based on the interactive interface information, each of the top-level functional modules is logically connected to construct a top-level functional reference model corresponding to the production equipment operation control functional model.

[0021] In some possible embodiments, determining the sub-layer function activity information of the production equipment operation control function model, and constructing the sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information includes:

[0022] Decomposing each top-level functional module of the production equipment operation control functional model into sub-functional modules to obtain a plurality of sub-functional modules corresponding to each top-level functional module;

[0023] Determine the sub-layer function activity information corresponding to each sub-layer function module, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information.

[0024] In some possible embodiments, the sub-level functional modules of the equipment asset management functional module include an asset definition and creation module, an asset monitoring and operation module, and an asset update and disposal module; the sub-level functional modules of the equipment maintenance management functional module include an equipment status monitoring module, an equipment fault diagnosis module, and an equipment repair and maintenance module; the sub-level functional modules of the equipment application management functional module include an equipment task management module, an equipment process management module, and a production resource configuration module.

[0025] In some possible embodiments, determining the sub-layer function activity information corresponding to each sub-layer function module, and constructing the sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information includes:

[0026] Based on the preset IDEF0 grammar rules, the sub-layer interaction interface information corresponding to each of the sub-layer functional modules is determined, and based on the sub-layer interaction interface information, each of the sub-layer functional modules is logically connected to construct a sub-layer functional reference model corresponding to the production equipment operation control function model.

[0027] In some possible embodiments, the acquiring of standard text data corresponding to the field of production equipment operation control, and subject clustering based on the standard text data to obtain a plurality of feature word subject sets corresponding to the standard text data include:

[0028] Obtaining standard text data corresponding to the field of production equipment operation control, and generating a corresponding word item sequence set based on the standard text data;

[0029] Using a pre-trained semantic model to perform vector conversion on a term sequence in the term sequence set to obtain term vector data;

[0030] The term vector data is clustered into topics based on preset guide words using a density clustering algorithm to obtain a plurality of feature word topic sets corresponding to the standard text data.

[0031] In some possible embodiments, the method for training the semantic model includes:

[0032] The BERT pre-training model is supervised by extracting training samples based on a word sequence set, and the network structure and connection weights of the BERT pre-training model are updated by using the LoRA model fine-tuning method to obtain the semantic model.

[0033] In a second aspect, an embodiment of the present application provides a device for constructing a production equipment operation control function model, including:

[0034] A structure decomposition module is used to decompose the production equipment operation control function model from top to bottom layer by layer based on preset application requirements to obtain a production equipment operation control function model with a tree structure;

[0035] An interface setting module, used to obtain interface requirement information of the production equipment operation control function model, and determine interface content setting information of the production equipment operation control function model based on the interface requirement information;

[0036] A top-level construction module, used to determine the top-level function activity information of the production equipment operation control function model, and construct a top-level function reference model of the production equipment operation control function model based on the top-level function activity information;

[0037] A sub-layer construction module, used to determine the sub-layer function activity information of the production equipment operation control function model, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information;

[0038] A topic aggregation module is used to obtain standard text data corresponding to the field of production equipment operation control, and perform topic clustering based on the standard text data to obtain a plurality of feature word topic sets corresponding to the standard text data;

[0039] The bottom layer construction module is used to match the plurality of feature word topic sets with the sub-layer functional reference model to construct a bottom layer reference resource pool corresponding to the production equipment operation control functional model. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flowchart of a method for constructing a production equipment operation control function model provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of the IDEF0 format of the production equipment operation control function module provided in the embodiment of the present application;

[0043] Figure 3 A schematic diagram of the overall framework of the production equipment operation control function model provided in the embodiment of the present application;

[0044] Figure 4 A schematic diagram of the production equipment operation control function module and the external business interaction interface provided in the embodiment of the present application;

[0045] Figure 5 A schematic diagram of the interactive interface between the production equipment operation control function module and the underlying equipment provided in the embodiment of the present application;

[0046] Figure 6 A schematic diagram of a standardized design of an IDEF0-based production equipment operation control function module interface provided in an embodiment of the present application;

[0047] Figure 7 A schematic diagram of the matching of the layer 2 and layer 3 functional modules of the production equipment operation control function model provided in the embodiment of the present application;

[0048] Figure 8 A schematic diagram of the structure of a device for constructing a production equipment operation control function model provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0050] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0051] It should be noted that due to the numerous levels, diverse constraints and rules, and complex interaction relationships between the production equipment operation control functional modules, it is urgent to build a production equipment operation control functional model based on a unified framework to accurately and systematically describe the production equipment operation control functional modules and the combined interaction relationships between modules, constraints and restrictions, auxiliary support resources and other functional activity elements, so as to guide the flexible construction and implementation of production equipment operation control business scenarios.

[0052] like Figure 1 As shown, the embodiment of the present application provides a method for constructing a production equipment operation control function model, which may include the steps of:

[0053] S1. Based on the preset application requirements, the production equipment operation control function model is decomposed layer by layer from top to bottom to obtain a production equipment operation control function model with a tree structure.

[0054] Further, step S1 may include:

[0055] The IDEF0 functional modeling method is used to decompose the production equipment operation control function model from top to bottom layer by layer until the decomposed production equipment operation control function model meets the preset application requirements, and a tree-structured production equipment operation control function model is obtained;

[0056] Among them, each functional module of the tree-structured production equipment operation control function model includes input elements, output elements, constraint elements and supporting elements; the input elements are used to represent the data objects required by the corresponding functional modules, and the output elements are used to represent the output results of the corresponding functional modules; the constraint elements are used to represent the constraint rules of the corresponding functional modules, and the supporting elements are used to represent the supporting resources of the corresponding functional modules.

[0057] See also Figure 2 It should be noted that in the process of modeling based on the IDEF0 functional modeling method, the arrows represent the relevant information, objects, resources, etc. involved in the production equipment operation control function module, the box represents the specific production equipment operation control function module, and the edge of the box represents the role of the entry arrow or the exit arrow, which includes the four element relationships of input, output, constraint, and support.

[0058] Among them, the input elements represent the material objects, energy resources or data information required by the production equipment operation control function module. These inputs are necessary conditions for starting or supporting the operation of the function module and are generally placed on the left side of the box; the output elements represent the output objects, data information or feedback results generated by the production equipment operation control function module. These outputs are the results generated after the execution of the function module, which can be used by other function modules or as the output of the system, and are generally placed on the right side of the box; the constraint elements describe the control constraints of the production equipment operation control function module, including trigger conditions, control logic, decision basis, etc. These constraint relationships ensure that the function module is executed according to the established constraints and conditions to realize the functions of the function module, and are generally placed above the box; the supporting elements describe the supporting resources of the production equipment operation control function module, including relevant personnel, equipment, tools or systems, to facilitate collaboration and interaction between functional modules. These supporting relationships provide the basis and conditions required for mutual cooperation between functional modules, and are generally placed below the box.

[0059] In step S1, based on the IDEF0 functional modeling method, the production equipment operation control functional model is decomposed layer by layer in a top-down manner until the overall functional model is decomposed to a detailed enough level to meet the application requirements, thereby obtaining a tree-structured production equipment operation control functional model; wherein each upper-layer functional module is expressed by a number of lower-layer sub-functional modules and corresponding input, output, support, constraint and other elements, thereby realizing an accurate description and standardized expression of the production equipment operation control functional model in a structured form.

[0060] See also Figure 3 , exemplarily, in the tree structure of the production equipment operation control function model, the 0th layer (the A-0 layer of the overall function of production equipment operation control) is used to describe the overall function module of production equipment operation control in the most abstract way; the 1st layer (the A0 layer of the production equipment operation control function) is used to describe the main function modules (top-level function modules) and the interaction between them; the 2nd layer (the sub-function modules at all levels of production equipment operation control) is used to represent the sub-level function modules further subdivided by each main function module and their interaction; the nth layer is used to express the various meta-function modules, supporting carriers, constraints and inputs and outputs of equipment operation control in the most basic form during function execution.

[0061] S2. Obtain interface requirement information of the production equipment operation control function model, and determine interface content setting information of the production equipment operation control function model based on the interface requirement information.

[0062] Further, step S2 may include:

[0063] S201, obtaining first interface interaction requirement information between the production equipment operation control function model and the external business system, and obtaining second interface interaction requirement information between the production equipment operation control function model and the underlying equipment;

[0064] S202. Determine the interface content corresponding to the first interface interaction requirement information and the second interface interaction requirement information based on the preset IDEF0 grammar rules, and obtain the interface content setting information corresponding to the production equipment operation control function model.

[0065] It should be noted that step S2 is used to set the general interface of the production equipment operation control function module.

[0066] In step S201, by focusing on the interaction between the equipment operation control activities and external related services, a system analysis can be performed to obtain the corresponding first interface interaction requirement information. Figure 4 , exemplarily, the international standard ISA95 "Enterprise Control System Integration" divides the interfaces related to manufacturing operation management activities into four categories, namely, scheduling / request interface, performance / response interface, capability interface and definition interface. In combination with the production equipment operation control activities of the embodiment of the present application, the scheduling / request interface is mainly used to receive external requests and drive the execution of production equipment operation control activities, which can be equivalent to input; the performance / response interface is mainly used to transmit the execution results of production equipment operation control activities for response, which can be equivalent to output; the capability interface interacts with the outside world mainly to support the relevant resource elements of equipment operation control activities, which can be equivalent to support; the definition interface interacts with the outside world mainly to support the rules, restrictions, definitions and other information related to equipment operation control activities, which can be equivalent to constraints.

[0067] In addition, by focusing on the interaction between the equipment operation control activities and the underlying equipment, a system analysis can be performed to obtain the corresponding second interface interaction requirements information. Figure 5 , exemplarily, the relevant interfaces for the interaction between the production equipment operation control function module and the underlying equipment include requirement interface, instruction interface, feedback interface and data interface, which are used to support the issuance of equipment operation specifications, equipment operation decision commands, and the collection and feedback of equipment operation results and equipment status data. In addition, principle interface and mechanism interface can also be added to describe the structural composition, knowledge principle, etc. of the equipment for interaction between the production equipment operation control function module and the underlying equipment, as well as the operation mechanism and industrial model of the equipment for interaction between the production equipment operation control function module and the external business.

[0068] In step S202, based on the relevant interfaces of the production equipment operation control function module identified in step S201 above, and the corresponding input, output, constraint, support and other elements formed by the division, the contents of these interfaces are standardized and designed according to the grammatical rules of IDEF0 to obtain the corresponding interface content setting information, such as Figure 6 shown.

[0069] S3. Determine the top-level functional activity information of the production equipment operation control functional model, and construct a top-level functional reference model of the production equipment operation control functional model based on the top-level functional activity information.

[0070] Further, step S3 may include:

[0071] S301, determining the top-level functional module of the production equipment operation control function model according to the preset production equipment operation control function activity types; the top-level functional module includes an equipment asset management functional module, an equipment maintenance management functional module and an equipment application management functional module;

[0072] S302. Determine the interaction interface information corresponding to each top-level functional module based on the preset IDEF0 grammar rules, and logically connect each top-level functional module based on the interaction interface information to construct a top-level functional reference model corresponding to the production equipment operation control functional model.

[0073] It should be noted that step S3 is used to identify the functional modules and analyze the interaction relationships of the first layer (top layer) of the overall framework of the functional model, and to construct a top-level functional reference model.

[0074] Specifically, in step S301, the international standards or reference architectures involved in production equipment operation control can be divided into three categories: asset value management of production equipment, application management of production equipment manufacturing capabilities, and repair and maintenance management of the structure of the production equipment itself. The top-level functional activity information of each top-level functional module is obtained according to these production equipment operation control functional activity types.

[0075] For example, ISO 55001:2014 "Asset Management Overview, Principles and Terminology", ISO 55000:2014 "Asset Management Management System Requirements", ISO 55010-2019 "Asset Management, Guidelines for the Consistency of Financial and Non-Financial Functions in Asset Management Activities", IEC 63278 "Asset Management Shell for Industrial Applications" and other international standards provide relevant functional activity specifications for production equipment asset management; IEC 62264 "Enterprise Control System Integration", IEC 61512 "Batch Control" and SIMA "Manufacturing System Integration Reference Architecture" and other international standards or reference architectures provide relevant functional activity specifications for production equipment application management; IEC 62264 "Enterprise Control System Integration", IDM, namely IEC TR 63082-1 ​​"Intelligent Device Management", OSA-CBM, namely ISO13374 "Machine Condition Monitoring and Diagnostic Data Processing, Communication and Representation" and other international standards provide relevant functional activity specifications for production equipment maintenance management. Based on these specification documents, the top-level functional activity information of the production equipment operation control function model can be determined.

[0076] In step S302, the equipment asset management function module is mainly used to support equipment maintenance management and application management functions; the equipment maintenance management function module mainly uses the services provided by the asset management function module to assist in ensuring the normal operation of the application management function; the equipment application management function module is supported by the services provided by the asset management function module, and calls the maintenance management function module's guarantee auxiliary services to achieve the specific equipment operation control performance goals. Through the mutual calling, mutual support and collaborative interaction between the above three equipment operation control function modules, the production equipment operation control function activities are jointly completed. Based on this, according to the preset IDEF0 grammar rules, the common interfaces of the above three function modules can be designed and determined, and the above three function modules can be logically connected according to the business relationship to obtain the top-level functional reference model of the production equipment operation control function model.

[0077] S4. Determine the sub-layer function activity information of the production equipment operation control function model, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information.

[0078] Further, step S4 may include:

[0079] S401, decomposing each top-level functional module of the production equipment operation control functional model into sub-functional modules to obtain a plurality of sub-functional modules corresponding to each top-level functional module;

[0080] Furthermore, the sub-level functional modules of the equipment asset management functional module include an asset definition and creation module, an asset monitoring and operation module, and an asset update and disposal module; the sub-level functional modules of the equipment maintenance management functional module include an equipment status monitoring module, an equipment fault diagnosis module, and an equipment repair and maintenance module; the sub-level functional modules of the equipment application management functional module include an equipment task management module, an equipment process management module, and a production resource allocation module.

[0081] S402. Determine the sub-layer function activity information corresponding to each sub-layer function module, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information.

[0082] Further, step S402 may include:

[0083] Based on the preset IDEF0 grammar rules, the sub-layer interaction interface information corresponding to each sub-layer functional module is determined, and based on the sub-layer interaction interface information, each sub-layer functional module is logically connected to construct a sub-layer functional reference model corresponding to the production equipment operation control function model.

[0084] It should be noted that step S4 is used to identify the functional modules and analyze the interaction relationships of the second layer (sub-layer) of the overall framework of the functional model, and to construct a sub-layer functional reference model.

[0085] For example, the "demand definition", "asset planning" and "asset creation" activities specified in ISO 55010-2019 mainly define the application requirements of assets, plan the functions and performance that assets should have, and form assets that meet application requirements through purchase or construction. From the perspective of equipment asset management, this process mainly involves the definition and creation of production equipment assets; the two types of activities specified in ISO 55010-2019, "asset operation" and "asset monitoring", are mainly to maintain efficient and stable operation of assets in a way that minimizes life cycle costs by continuously tracking the value status of assets. From the perspective of equipment asset management, this process mainly involves the monitoring and operation of production equipment assets; the two types of activities specified in ISO 55010-2019, "asset transformation and asset disposal", are mainly to maintain their service capabilities through asset transformation and updating, and to carry out corresponding scrapping and disposal when assets no longer meet application requirements. From the perspective of equipment asset management, this process mainly involves the asset update and disposal of production equipment. Based on this, the equipment asset management function module can be decomposed into three sub-function modules at the sub-level: asset definition and creation, asset monitoring and operation, and asset update and disposal.

[0086] For example, the international standard ISO / IEC 62264 "Enterprise Control System Integration" provides a reference architecture and reference model for enterprise manufacturing operation management, and divides manufacturing operation management into 10 functional modules. The application management activities of production equipment mainly involve three functional modules: production scheduling, production control, and material and energy control related to production operation management activities. Among them, production scheduling mainly assigns production tasks to specific production equipment through limited capacity scheduling. From the perspective of equipment application, this process mainly involves the task management activities of production equipment; production control mainly controls the processing parameters of production equipment according to the production schedule and process standards to turn raw materials into finished products to complete the corresponding production tasks. From the perspective of equipment application, this process mainly involves the process management activities of production equipment; material and energy control mainly manages the procurement, inventory and consumption of materials and energy to ensure the smooth operation of production activities. From the perspective of equipment application, this process mainly involves the allocation activities of supporting resources required for the operation of production equipment. Based on this, the equipment application management functional module can be decomposed into three sub-functional modules: equipment task management, equipment process management, and production resource allocation.

[0087] For example, the equipment maintenance and operation management activities in ISO / IEC 62264 refer to the activities of receiving maintenance requests for equipment, tools and related assets, formulating maintenance plans and carrying out corresponding maintenance operations, which mainly refers to the daily maintenance functions of the equipment. In OSA-CBM, two functions, equipment status monitoring and equipment fault diagnosis, are further specified around equipment maintenance management. Among them, the equipment status monitoring function is mainly to conduct all-round perception and dynamic monitoring of the status of production equipment; the equipment fault diagnosis function is mainly to evaluate the health status of production equipment, diagnose and predict equipment faults, and provide support for the rapid disposal of equipment faults. Therefore, based on the international standard ISO / IEC 62264 and the content of equipment maintenance management in OSA-CBM, the production equipment maintenance management function module can be decomposed into three sub-function modules: equipment status monitoring, equipment fault diagnosis, and equipment maintenance.

[0088] It should be noted that in step S402, based on the above-mentioned decomposed sub-functional modules, the corresponding general interface content is determined according to the IDEF0 syntax specification, and these sub-functional modules are logically connected according to business relationships, thereby forming a functional reference model of equipment asset management, application management and maintenance management in the second layer (sub-layer) of the production equipment operation control functional reference model.

[0089] S5. Obtain standard text data corresponding to the field of production equipment operation control, and perform topic clustering based on the standard text data to obtain several feature word topic sets corresponding to the standard text data.

[0090] Further, step S5 may include:

[0091] S501, obtaining standard text data corresponding to the field of production equipment operation control, and generating a corresponding word item sequence set based on the standard text data;

[0092] S502, using a pre-trained semantic model to perform vector conversion on a word sequence in the word sequence set to obtain word vector data;

[0093] S503: Using a density clustering algorithm, perform topic clustering on the term vector data based on preset guide words to obtain a number of feature word topic sets corresponding to the standard text data.

[0094] Furthermore, the training method of the semantic model includes:

[0095] The BERT pre-trained model is supervised by extracting training samples based on the word sequence set, and the LoRA model fine-tuning method is used to update the network structure and connection weights of the BERT pre-trained model to obtain a semantic model.

[0096] It should be noted that in step S501, relevant standard text data in the field of production equipment operation control is obtained through search, and then the obtained standard text data is processed by word segmentation, stop word removal, cleaning, feature extraction, etc., so as to construct a set of word item sequences corresponding to the standard text data of production equipment operation control.

[0097] In step S502, first, supervised learning is performed on the BERT pre-trained model by extracting some word sequences as training samples, and then the network structure and connection weights of the BERT pre-trained model are updated using the LoRA model fine-tuning method to generate a semantic model suitable for the equipment operation control function clustering task.

[0098] Specifically, we first call the BERT pre-trained semantic model for general fields that has been trained on massive amounts of text, and use it for the clustering task of standard text data for equipment operation control. Based on a sample set of extracted relevant standard clauses and sentences, we call the BERT pre-trained semantic model to encode sentences using words as the smallest unit.

[0099] Then, based on the standard text corpus of production equipment operation control, the LoRA model fine-tuning method based on low-rank adaptation was used to fine-tune and update the network structure and connection weights of the BERT model.

[0100] Next, the model is iteratively fine-tuned and updated by evaluating the model loss function, and finally a semantic model suitable for the semantic clustering task of device operation control is formed. The model loss function calculation method is as follows:

[0101]

[0102] in, are the parameters of the encoder part in BERT, are the output layer parameters of the encoder connection in the mask task, is the classifier parameter connected to the encoder in the sentence prediction task, M is the set of masked words, and N is the set of predicted sentences.

[0103] After obtaining the trained semantic model, we can use the multi-head attention mechanism to process different parts of the standard text data, combine the context to capture the semantic relationship between different words, and transform the input standard text data into a fixed-length vector representation that can represent the semantic information of the entire sentence through pooling, thus completing the high-precision vector conversion of the sentence. The formula is as follows:

[0104]

[0105] Among them, Q is the target word matrix, K is the keyword matrix, V is the original feature, and d k is the normalization parameter.

[0106] In step S503, corresponding guide words are set based on density clustering algorithm to perform topic clustering on the word item sequence set of production equipment operation control standard text data, as follows:

[0107] 1. First, we set the guide word set for the equipment operation control field based on domain knowledge (as shown in Table 1), and convert the guide words into vectors through the semantic model trained based on BERT;

[0108] Table 1 Guidance word settings for production equipment operation control function module

[0109] Serial number Function module name Guide words 1 Asset definition and creation ["Inventory", "Type", "Name", "Quantity", "Model"] 2 Asset Monitoring and Operations ["Sell", "Lease","Change","Value"] 3 Asset renewal and disposal ["upgrade", "install", "debug", "modify", "scrap"] 4 Device task management ["delivery time", "delay", "order", "dispatch", "scheduling"] 5 Equipment process management ["Parameter", "Procedure", "Tolerance", "Process", "Step"] 6 Production resource allocation ["Distribution", "Warehousing", "Planning", "Raw Materials"] 7 Equipment status monitoring ["status", "monitoring", "monitoring", "running"] 8 Equipment fault diagnosis ["fault", "identification", "location", "risk"] 9 Equipment maintenance ["process", "replace", "point inspection", "check", "dispose"]

[0110] 2. Based on the mutual reach distance, the similarity between the standard sentence vector and the guide word vector is calculated to guide the direction of topic clustering. The mutual reach distance calculation method is as follows:

[0111]

[0112] in, Represented as the current sentence vector x No. k The function d(a,b) represents the distance between sentence vectors a and b.

[0113] 3. Construct a minimum spanning tree based on the weighted distance graph, build a clustering hierarchy on this basis, and compress the hierarchical clustering tree with the minimum cluster size;

[0114] 4. Label each sentence vector with a topic type by calculating node stability. The node stability calculation method is as follows:

[0115]

[0116] in, Represents sample points p When splitting away from the node, the corresponding length of the disconnected edge is the inverse. Indicates the inverse of the length of the disconnected edge when the current node is split into two child nodes.

[0117] It should be noted that, for the clustered production equipment operation control standard text themes, the C-TF-IDF algorithm can be used to semantically condense the feature word set under each standard text theme, so as to extract the feature word that can most accurately represent the specific production equipment operation control function activity theme, and name the specific theme clustering result with the feature word, and then identify the production equipment operation control function module contained in the third layer (bottom layer), as shown in Table 2. Among them, the C-TF-IDF value is calculated as follows:

[0118]

[0119] Where T represents the characteristic words within a specific topic, C represents the specific topic, represents the frequency of word T appearing in topic C, represents the frequency of word T in all topics, and A represents the average number of times for each topic.

[0120] Table 2 Standard text topic clustering results, topic feature words and topic names

[0121] category Topic Feature Words Theme Naming 1 Equipment type, equipment quantity, model, price, ratio, screening, classification, variety, location, workshop, production line, etc. Asset Requirements Planning 2 Ordering, counting, acceptance, storage, inventory, turnover, coding system, inventory classification, warehousing records, storage, etc. Equipment asset purchase 3 Name, model, quantity, location, date of manufacture, manufacturer, etc. Equipment asset registration 4 Sales, leasing, operation, production, value, added value, circulation, capital expenditure, income, input-output, return on investment, etc. Equipment asset management 5 Physical assets, intangible assets, purchase value, audit, report, compliance, asset changes, responsible person, department, asset description, etc. Equipment asset tracking 6 Valuation, cost, loss, market risk, liquidity risk, expected return, investment value, profitability, net present value, etc. Asset Valuation 7 Evaluation and analysis, solution design, resource preparation, implementation, installation, debugging, system upgrade, monitoring and maintenance, etc. Equipment renovation and update 8 Asset appraisal, scrapping application, scrapping approval, value assessment, processing, decision-making, recycling, destruction, sale, impairment, abandonment, etc. Equipment decommissioning 9 Classification, sorting, processing, recycling, waste, storage, transportation, cleaning, recovery, reuse, etc. Equipment recycling 10 Quantity, specifications, instruction requirements, price, delivery time, fees, costs, inventory, customers, production requirements, etc. Production task planning 11 Product quantity, equipment utilization, delay, production time, defect rate, qualified rate, raw materials, working hours, etc. Production Scheduling 12 Production progress, material consumption, task progress, production quality, task objectives, task division, task planning, deadlines, etc. Task execution tracking 13 Process parameters, process specifications, production process, equipment selection, material flow, layout, plan, size, geometric tolerance, assembly relationship, etc. Production process planning 14 G code, transmission, communication protocol, distribution, network, target, source, network segment, IP address, access rights, field bus, etc. Control program issuance 15 Operation, instruction execution, instruction parsing, working conditions, paths, actions, behaviors, results, systems, automatic control, remote control, etc. Process path control 16 Parameter optimization, technology introduction, process optimization, cycle reduction, method improvement, process adjustment, process optimization, etc. Process change optimization 17 Resource type, resource quantity, quality requirements, procurement time, procurement method, inquiry, bidding, etc. Resource Requirements Planning 18 Energy allocation, energy cost, energy waste, energy utilization efficiency, energy consumption, supply and demand forecasting, energy scheduling, energy optimization, energy monitoring, etc. Energy supply balance 19 Conveyor belts, forklifts, lifts, automated guided vehicles, transshipment, unloading, security, transportation routes, transportation methods, transportation time, etc. Material distribution management 20 Equipment startup time, task execution progress, operating status parameters, control operation instructions, energy consumption data, etc. Equipment data collection 21 Abnormal signals, system display, preprocessing, performance indicators, operating status, noise reduction, classification, outliers, visualization, etc. Running status display 22 Stable, reliable, normal, abnormal, failure, shutdown, operation, pause, interruption, etc. Operation status analysis 23 Running time, downtime, production statistics, equipment utilization, failure rate, product qualification rate, etc. Operation performance statistics 24 Parameter update, performance tuning, load balancing, program upgrade, parameter configuration, system cleanup, etc. Equipment status optimization 25 Observation, inspection, electrical signals, partition detection, troubleshooting, noise, deformation, corrosion, problems, etc. Equipment Fault Detection 26 Fault phenomenon, fault time, fault frequency, location, observation, reset, location, measurement, comparison, replacement, etc. Equipment fault location 27 Cut off power, close valve, disconnect, separate, divide, area, location, etc. Equipment fault isolation 28 Failure mode, failure type, failure cause, failure statistics, failure nature, failure impact, treatment measures, etc. Equipment fault identification 29 Output decline, production loss, cost increase, downtime, suspension, equipment damage, economic loss, production delay, etc. Failure Impact Assessment 30 Stability, maintenance cycle, technical parameters, operating parameters, failure rate, availability, utilization, startup time, etc. Equipment health assessment 31 Point inspection scope, point inspection tools, point inspection process, point inspection personnel, point inspection equipment, point inspection plan, etc. Equipment point inspection 32 Maintenance tools, maintenance plans, replacement parts, adjustment, repair, debugging, assembly, testing, verification, records, etc. Equipment maintenance and disposal 33 Spare parts demand, inventory warning, procurement plan, supplier, procurement progress, spare parts inspection and maintenance, spare parts scrapping, etc. Spare parts management

[0122] S6. Match several feature word topic sets with the secondary functional reference model to construct a bottom-level reference resource pool corresponding to the production equipment operation control functional model.

[0123] It should be noted that step S6 is used to match the feature word set after subject clustering with the functional modules of the second layer, so as to construct a reference resource pool of the third layer (bottom layer) of the production equipment operation control function model.

[0124] Specifically, the 33 types of standard text themes of production equipment operation control obtained by the above cluster mining are closely related to the business activities and functional requirements of production equipment operation control, and have an obvious mapping relationship with the 9 functional modules of the second layer identified. They are the detailed decomposition and component units of the second layer functional modules and can be used as the functional modules of the third layer of the production equipment operation control functional model. Figure 7As shown, the 33 functional modules in the third layer obtained by mining are matched with the 9 functional modules in the second layer. Among them, the third-layer sub-functional modules corresponding to the three functional modules in the second layer of the equipment asset management functional activities are as follows:

[0125] 1. The asset definition and creation function module includes three sub-function modules: asset demand planning, equipment asset purchase, and equipment asset registration. It mainly involves the demand demonstration planning, selection and procurement, and warehousing registration of production equipment assets;

[0126] 2. The asset monitoring and operation function module includes three sub-function modules: equipment asset management, equipment asset tracking, and asset value assessment. It mainly involves the processes of production equipment asset value operation management, status tracking, and assessment prediction;

[0127] 3. The asset renewal and disposal functional module includes three sub-functional modules: equipment transformation and updating, equipment retirement and disposal, and equipment recycling and reuse. It mainly involves the transformation and upgrading, scrapping and retirement, and recycling and reuse of production equipment assets.

[0128] The 3-layer sub-function modules corresponding to the 3-layer function modules in the 2-layer of the device application management functional activities are as follows:

[0129] 4. The equipment task management function module includes three sub-function modules: production task planning, production scheduling and task execution tracking, which mainly involve the equipment operation planning, scheduling and execution tracking processes around production order tasks;

[0130] 5. The equipment process management function module includes four sub-function modules: production process planning, control program issuance, process path control, and process change optimization. It mainly involves the equipment process configuration, instruction issuance, process control, and change optimization processes for work-in-progress.

[0131] 6. The production resource allocation function module includes three sub-function modules: resource demand planning, energy supply balance, and material distribution management. It mainly involves the energy and material demand planning, supply and distribution processes required for equipment to perform production tasks.

[0132] The third-layer sub-function modules corresponding to the three function modules in the second layer of equipment maintenance management functional activities are as follows:

[0133] 7. The equipment status monitoring function module includes five sub-function modules: equipment data collection, operation status display, operation status analysis, equipment status optimization, and operation performance statistics. It mainly involves the processes of production equipment operation status perception, display, analysis, optimization, and performance statistics;

[0134] 8. The equipment fault diagnosis function module includes five sub-function modules: equipment fault detection, equipment fault location, equipment fault identification, equipment fault isolation, and fault impact assessment. It mainly involves the processes of perception detection, location investigation, type identification, isolation and disposal, and impact assessment of production equipment faults;

[0135] 9. The equipment maintenance function module includes four sub-function modules: equipment health assessment, equipment inspection, equipment repair and disposal, and spare parts management. It mainly involves the processes of production equipment health status tracking, daily inspection, repair and maintenance, and related spare parts configuration.

[0136] Based on the matching results of the layer 2 functional modules and layer 3 sub-functional modules of the production equipment operation control functional model, a production equipment operation control functional module reference resource pool containing 9 groups of 33 sub-functional modules can be generated at the layer 3, which can be used to support the matching extraction and combined calling of production equipment operation control functional modules in specific scenarios.

[0137] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0138] 1. Based on the IDEF0 functional modeling method, the reference architecture of production equipment operation control function covering equipment asset management, application management and maintenance management is innovatively constructed by adopting the "top-down, layer-by-layer decomposition" approach. The specific operations, content elements and interactive relationships between various subdivided functional activities of production equipment operation control functional activities are graphically expressed in a structured manner, and the hierarchical, accurate and systematic description of the production equipment operation control functional modules and the relationships between modules is achieved. In addition, the relevant interfaces of the functional modules are systematically analyzed around the interaction between the equipment operation control functional activities and external businesses and underlying equipment, and the interfaces of the functional modules such as input, output, constraint and support are standardizedly designed.

[0139] 2. By adopting the method of topic clustering of standard texts for production equipment operation control, hierarchical identification and semantic condensation of functional modules are realized. The main focus is on 180 standard texts for production equipment operation control that contain potential common laws. Through text vector conversion, text topic clustering and topic semantic extraction, a systematic and complete equipment operation control functional model is formed to summarize and refine practical experience such as relevant business logic, functional requirements, and control methods in production equipment operation control functional activities. The production equipment operation control functional modules identified and obtained by machine learning have high versatility, can fully reflect the knowledge and experience and extensive engineering practice in the specific field of production equipment operation control, overcome the limitations of functional module identification based on the knowledge and experience of a few experts, and thus provide effective support for production equipment operation control functional activities under the background of digital transformation.

[0140] 3. The embodiment of the present application constructs a reference resource pool for production equipment operation control function modules, provides a unified description and boundary definition for the production equipment operation control function modules, supports the realization of generalization, standardization and service-oriented packaging application of production equipment operation control function modules, and lays the foundation for the matching extraction and combined calling of production equipment operation control function modules in specific scenarios, thereby realizing the flexible construction of diversified and personalized scenarios of production equipment operation control in an industrial Internet environment, and effectively responding to the challenges of diversity of production equipment operation control scenarios and control purposes.

[0141] Please refer to Figure 8 , Figure 8 The following is a block diagram showing the composition of a device for constructing a production equipment operation control function model provided in some embodiments of the present application. It should be understood that the device for constructing a production equipment operation control function model is similar to the above-mentioned Figure 1 Corresponding to the method embodiment, the various steps involved in the above method embodiment can be executed. The specific functions of the construction device of the production equipment operation control function model can be found in the description above. In order to avoid repetition, the detailed description is appropriately omitted here.

[0142] Figure 8 The device for constructing the production equipment operation control function model includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the device for constructing the production equipment operation control function model, and the device for constructing the production equipment operation control function model includes:

[0143] A structure decomposition module 810 is used to decompose the production equipment operation control function model from top to bottom layer by layer based on preset application requirements to obtain a production equipment operation control function model with a tree structure;

[0144] The interface setting module 820 is used to obtain the interface requirement information of the production equipment operation control function model, and determine the interface content setting information of the production equipment operation control function model based on the interface requirement information;

[0145] A top-level construction module 830 is used to determine the top-level function activity information of the production equipment operation control function model, and to construct a top-level function reference model of the production equipment operation control function model based on the top-level function activity information;

[0146] A sub-layer construction module 840 is used to determine sub-layer function activity information of the production equipment operation control function model, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information;

[0147] The topic aggregation module 850 is used to obtain standard text data corresponding to the field of production equipment operation control, and perform topic clustering based on the standard text data to obtain a plurality of feature word topic sets corresponding to the standard text data;

[0148] The bottom layer construction module 860 is used to match a plurality of feature word topic sets with the sub-layer functional reference model to construct a bottom layer reference resource pool corresponding to the production equipment operation control functional model.

[0149] It can be understood that the above-mentioned device item embodiment corresponds to the method item embodiment of the present invention. The device for constructing a production equipment operation control function model provided by the embodiment of the present invention can realize the method for constructing a production equipment operation control function model provided by any method item embodiment of the present invention.

[0150] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method, and will not be described in detail here.

[0151] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0152] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0153] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0154] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0155] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for constructing a production equipment operation control function model, characterized in that: include: Based on the preset application requirements, the production equipment operation control function model is decomposed layer by layer from top to bottom to obtain a production equipment operation control function model with a tree structure; Acquire interface requirement information of the production equipment operation control function model, and determine interface content setting information of the production equipment operation control function model based on the interface requirement information; Determine the top-level function activity information of the production equipment operation control function model, and construct a top-level function reference model of the production equipment operation control function model based on the top-level function activity information; Determine the sub-layer function activity information of the production equipment operation control function model, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information; Acquire standard text data corresponding to the field of production equipment operation control, and perform topic clustering based on the standard text data to obtain a plurality of feature word topic sets corresponding to the standard text data; Matching the plurality of feature word topic sets with the sub-layer function reference model to construct a bottom-layer reference resource pool corresponding to the production equipment operation control function model; The determining the top-level function activity information of the production equipment operation control function model, and constructing the top-level function reference model of the production equipment operation control function model based on the top-level function activity information, includes: Determine the top-level function module of the production equipment operation control function model according to the preset production equipment operation control function activity type; the top-level function module includes an equipment asset management function module, an equipment maintenance management function module and an equipment application management function module; Based on the preset IDEF0 grammar rules, the interactive interface information corresponding to each of the top-level functional modules is determined, and based on the interactive interface information, each of the top-level functional modules is logically connected to construct a top-level functional reference model corresponding to the production equipment operation control functional model.

2. The method for constructing a production equipment operation control function model according to claim 1, characterized in that: The production equipment operation control function model is decomposed from top to bottom layer by layer based on the preset application requirements to obtain a tree-structured production equipment operation control function model, including: The IDEF0 functional modeling method is used to decompose the production equipment operation control function model from top to bottom layer by layer until the decomposed production equipment operation control function model meets the preset application requirements, and a tree-structured production equipment operation control function model is obtained; Among them, each functional module of the tree-structured production equipment operation control functional model includes input elements, output elements, constraint elements and supporting elements; the input elements are used to represent the data objects required by the corresponding functional modules, and the output elements are used to represent the output results of the corresponding functional modules; the constraint elements are used to represent the constraint rules of the corresponding functional modules, and the supporting elements are used to represent the supporting resources of the corresponding functional modules.

3. The method for constructing a production equipment operation control function model according to claim 1, characterized in that: The obtaining of the interface requirement information of the production equipment operation control function model, and determining the interface content setting information of the production equipment operation control function model based on the interface requirement information, includes: Obtaining first interface interaction requirement information between the production equipment operation control function model and an external business system, and obtaining second interface interaction requirement information between the production equipment operation control function model and an underlying device; Based on the preset IDEF0 grammar rules, the interface content corresponding to the first interface interaction requirement information and the second interface interaction requirement information is determined to obtain the interface content setting information corresponding to the production equipment operation control function model.

4. The method for constructing a production equipment operation control function model according to claim 1, characterized in that: The determining of the sub-layer function activity information of the production equipment operation control function model, and constructing the sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information, includes: Decomposing each top-level functional module of the production equipment operation control functional model into sub-functional modules to obtain a plurality of sub-functional modules corresponding to each top-level functional module; Determine the sub-layer function activity information corresponding to each sub-layer function module, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information.

5. The method for constructing a production equipment operation control function model according to claim 4, characterized in that: The sub-level functional modules of the equipment asset management functional module include an asset definition and creation module, an asset monitoring and operation module, and an asset update and disposal module; the sub-level functional modules of the equipment maintenance management functional module include an equipment status monitoring module, an equipment fault diagnosis module, and an equipment repair and maintenance module; the sub-level functional modules of the equipment application management functional module include an equipment task management module, an equipment process management module, and a production resource configuration module.

6. The method for constructing a production equipment operation control function model according to claim 4, characterized in that: The determining of the sub-layer function activity information corresponding to each sub-layer function module and constructing the sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information includes: Based on the preset IDEF0 grammar rules, the sub-layer interaction interface information corresponding to each of the sub-layer functional modules is determined, and based on the sub-layer interaction interface information, each of the sub-layer functional modules is logically connected to construct a sub-layer functional reference model corresponding to the production equipment operation control function model.

7. The method for constructing a production equipment operation control function model according to claim 1, characterized in that: The obtaining of standard text data corresponding to the field of production equipment operation control, and subject clustering based on the standard text data to obtain a plurality of feature word subject sets corresponding to the standard text data, includes: Obtaining standard text data corresponding to the field of production equipment operation control, and generating a corresponding word item sequence set based on the standard text data; Using a pre-trained semantic model to perform vector conversion on a term sequence in the term sequence set to obtain term vector data; The term vector data is clustered into topics based on preset guide words using a density clustering algorithm to obtain a plurality of feature word topic sets corresponding to the standard text data.

8. The method for constructing a production equipment operation control function model according to claim 7, characterized in that: The training method of the semantic model includes: The BERT pre-training model is supervised by extracting training samples based on a word sequence set, and the network structure and connection weights of the BERT pre-training model are updated by using the LoRA model fine-tuning method to obtain the semantic model.

9. A device for constructing a production equipment operation control function model, characterized in that: include: A structure decomposition module is used to decompose the production equipment operation control function model from top to bottom layer by layer based on preset application requirements to obtain a production equipment operation control function model with a tree structure; An interface setting module, used to obtain interface requirement information of the production equipment operation control function model, and determine interface content setting information of the production equipment operation control function model based on the interface requirement information; A top-level construction module, used to determine the top-level function activity information of the production equipment operation control function model, and construct a top-level function reference model of the production equipment operation control function model based on the top-level function activity information; A sub-layer construction module, used to determine the sub-layer function activity information of the production equipment operation control function model, and construct a sub-layer function reference model of the production equipment operation control function model based on the sub-layer function activity information; A topic aggregation module is used to obtain standard text data corresponding to the field of production equipment operation control, and perform topic clustering based on the standard text data to obtain a plurality of feature word topic sets corresponding to the standard text data; A bottom layer construction module, used to match the plurality of feature word topic sets with the sub-layer function reference model to construct a bottom layer reference resource pool corresponding to the production equipment operation control function model; The top-level building module is specifically used for: Determine the top-level function module of the production equipment operation control function model according to the preset production equipment operation control function activity type; the top-level function module includes an equipment asset management function module, an equipment maintenance management function module and an equipment application management function module; Based on the preset IDEF0 grammar rules, the interactive interface information corresponding to each of the top-level functional modules is determined, and based on the interactive interface information, each of the top-level functional modules is logically connected to construct a top-level functional reference model corresponding to the production equipment operation control functional model.

Images