A pipelined digital control and management resource push method and device

Abstract

The present invention discloses a method and device for pushing digital production control resources in a production line. The method includes: constructing a digital control resource push mapping model according to a specified production line and corresponding production control activities, including: constructing a production control topology model for the industrial field layer and the production operation layer according to the entities and virtual units, production and simulation processes on the specified production line; constructing a scenario-goal-strategy tree model according to the business scenarios, decision logics, and behavior frequencies of the corresponding production control activities; associating the production control topology model with the scenario-goal-strategy tree model according to the resource mapping relationship to form a digital control resource push mapping model; and driving the digital control resource push mapping model to push digital production control resources for a given production control activity. The method and device of the present invention can improve the efficiency of production control resource indexing, mapping, matching, and pushing and the level of business decision execution.

Description

Technical Field

[0001] The present invention relates to the fields of discrete manufacturing and hybrid manufacturing, and particularly to a method and device for pushing pipeline digital production control resources. Background Art

[0002] With the rapid development of the digitalization process in the discrete manufacturing industry, many enterprises have built digital or intelligent pipelines that integrate the virtual and the real, are flexible and agile, and feature human-machine collaboration by introducing digital equipment, information systems, and digital talents. Therefore, traditional production control activities have been adaptively adjusted to digital control that integrates physical resources such as equipment and processes, and virtual resources such as data, models, and computing power. In view of the characteristics of low digital expression standardization of pipeline control resources, complex resource coupling relationships, large differences in control workflows, and poor consistency of resource information islands, constructing a resource push mapping model for digital control is the core technology to support the current digital control of pipelines.

[0003] The international standard IEC / ISO 62264 clearly describes the functional hierarchical model of manufacturing enterprises, and introduces the interface content and related transactions inside the third layer and between the third layer and the fourth layer of the model, defining that production control is mainly realized by Manufacturing Operation Management (MOM), which includes more than a dozen standard production control activities and the information flow model between functions. Digital control is further defined in the relevant standards of Industry 4.0 and the special plan of "Made in China 2025", that is, by integrating production materials into the Cyber Physical System (CPS), and combining cutting-edge technologies such as digital twins and artificial intelligence, to realize the transformation from traditional manufacturing to intelligent manufacturing. However, the current pipeline information systems mainly focus on data online and the digitalization and visualization of functions. Some systems achieve the digital expression of physical and virtual resources, but the resources have not yet achieved directed indexing, rapid matching, and autonomous resource pushing for control activities, lacking effective methods for configuration interaction between resources, resource status synchronization, and resource consistency management, resulting in insufficient digitalization of production control, uneven resource utilization, low quality of control decisions, and unstable load of control workflows.

[0004] The Chinese patent document with the publication number CN111882653A discloses a digital twin method for indoor scenes based on multi-sensors and multiple levels. This method performs point cloud modeling at different scales for the visual model of the indoor scene and stores the point cloud and model data according to a tree structure, so as to achieve rapid model reconstruction and fusion. This method provides a reference method for multi-level modeling and management of digital resources, but it does not focus on the production control activities in the manufacturing field, and does not digitally express non-visual units such as workflows, entities, and virtual units, and does not involve the core content of the mapping model for digital control resource push.

[0005] The Chinese patent document with the publication number CN113836824A discloses a method for self-similar modeling and self-organizing hierarchical aggregation of CPS manufacturing components and a self-similar fractal reconstruction system for unmanned production lines. This system realizes the automatic decoupling and reconstruction of the unmanned production line when the current production line cannot complete personalized customization orders by constructing a multi-level and multi-granularity CPS manufacturing component service set, so as to achieve the adaptive reconstruction of the unmanned production line. The association mapping topological relationship, attribute information, and digital expression are not defined among the components in the CPS component service set of this system, and it is limited to a single uncertain scenario of production bottlenecks in the production line, and it is impossible to finely depict the integration and digital model of production control for physical and virtual resources, and it is difficult to quickly map, match, and push adapted resources for actual production operation and simulation optimization decision-making in other production control scenarios.

[0006] In view of the characteristics of multi-level, multi-granularity, complex associated nodes, and dynamic information changes in production control activities, the mapping association between digital means of virtual and physical resources and control workflows is an important technical problem that urgently needs to be solved for the digital improvement of pipeline production. Summary of the Invention

[0007] The present invention provides a method for pushing digital production control resources for a pipeline, which can realize flexible, elastic, open, and variable production control and process simulation of the pipeline, ensure the mapping consistency of control decisions and production activities in different control scopes and control cycles at each level, and improve the efficiency of production control resource indexing, mapping, matching, and pushing and the level of business decision execution.

[0008] The technical solution of the present invention is as follows:

[0009] A method for pushing digital production control resources for a pipeline, comprising:

[0010] (1) Construct a digital control resource push mapping model according to the specified pipeline and corresponding production control activities, including:

[0011] (1-1) Construct a production control topology model (UPG) for the industrial field layer and production operation layer according to the entities and virtual units on the specified production line, as well as the production and simulation processes; the production control topology model includes units, processes, configuration gates, and their respective attributes and configurations.

[0012] (1-2) Establish the unit attributes, process attributes, and configuration gate configurations within the production control topology model.

[0013] (1-3) Establish the topology mapping relationships and attribute subordination relationships between and within the production control topology models at each level.

[0014] (1-4) Construct a scenario (Business)-goal (Goal)-strategy (Strategy) tree model (BGS) according to the business scenarios, decision logics, and behavior frequencies of the corresponding production control activities.

[0015] (1-5) Associate the production control topology model with the scenario-goal-strategy tree model according to the resource mapping relationship to form a digital control resource push mapping model.

[0016] (2) For a given production control activity, drive the digital control resource push mapping model to push digital production control resources, including:

[0017] (2-1) Make decisions through the scenario-goal-strategy tree model according to the goals and strategies of the business scenario, and initiate multi-directional resource service requests.

[0018] (2-2) Perform service parsing, service scheduling, task decomposition, and resource status query in sequence according to the resource service request to quickly match the available resources within the production control topology model.

[0019] (2-3) Synchronize the status of the matched resources and generate a service response.

[0020] (2-4) Push the associated resources to the given production control activity according to the service response.

[0021] The production control topology model described above includes:

[0022] Set the status according to the units and processes of the industrial field layer and production operation layer on the specified production line, and describe the mapping and association relationships formed by the controlled units and processes within and between levels due to production control activities, including units, processes, configuration gates, and their respective attributes and configurations.

[0023] The industrial field layer units correspond to the entity equipment and facility nodes; the industrial field layer processes correspond to the collaborative work processes among the entity equipment; the industrial field layer configuration gates correspond to the basic communication content, channels, and processing logics between the equipment units and processes, which are composed of a sensor system, a fieldbus system, and an intelligent control system, so as to serve the issuance, execution, feedback, and adjustment of the sequential production instructions on the assembly line.

[0024] The topological relationships among the industrial field layer units, processes, and configuration gates are determined by the production operation processes, and a directed topological relationship is formed between the units and the configuration gates according to the operation sequence.

[0025] The production operation layer units correspond to the logical production units; the production operation layer processes correspond to the process operation processes, production operation processes, and simulation processes among the logical production units; the production operation layer configuration gates correspond to the service configuration modules composed of structured node data, unstructured production information, simulation optimization models, communication interfaces and protocols, etc. between the logical production units and processes, and are responsible for constructing and parsing service requests and service responses, so as to serve the indexing and matching of the production control resources on the assembly line.

[0026] The topological relationships among the production operation layer units, processes, and configuration gates are determined by the process operation processes, production operation processes, and simulation processes, and a directed topological relationship is formed according to the association sequence.

[0027] The unit attributes include the status and mechanisms within the layer; the status is divided into time-varying and non-time-varying statuses. The time-varying statuses are such as equipment working conditions and equipment integrity, and the non-time-varying statuses are such as process parameters and mechanical structures; the mechanisms include the operation modes of equipment units, safety settings, operation manuals, etc.

[0028] The process attributes include the status, graph structure, and mechanisms within the layer; the status includes the process running state, such as the planned completion rate, workpiece yield rate, failure rate, expected processing time, etc.; the graph structure refers to the upstream and downstream connection relationships of each unit within the process, the series-parallel relationships between processes, and the circular relationships of the integrated maintenance units; the mechanisms include the process operation modes, material ratios, production capacity limits, maintenance plans, etc.

[0029] The configuration gate configuration includes configuration parameters, service agents, and translation mechanisms; the configuration parameters include the service requests and associated data within and between layers; the service agents are responsible for service request processing, data decryption and encryption, service response generation, and service queue management; the translation mechanisms include model translation and simulation calculations within the configuration gate, and provide matching, lightweight, and accurate local operations based on service requirements.

[0030] In the production control topological model, the service association relationships between units-unit, unit-process, and process-process within and between layers for production control activities are bridged through the configuration gates.

[0031] The attributes of the UPG model in the industrial field layer are all subordinate to the hierarchical attributes of the mapping subject in the production operation layer. For example, between different layers, the plan completion degree of the long-cycle multi-process in the production operation layer is composed of the plan completion degrees of the short-cycle processes in the industrial field layer. Another example is that the process failure rate in the industrial field layer is deduced from the integrity of the associated devices in the same layer.

[0032] Therefore, the UPG model can achieve consistent synchronization state updates from the industrial field layer to the production operation layer, and synchronous updates of resource states, based on the topological relationship and the subordinate relationship of attributes.

[0033] In steps (1-4), the business scenarios described include production plan scheduling, maintenance scheduling, production operation, simulation, and quality assessment.

[0034] The decision logics described include mathematical programming method optimization, discrete-time simulation, reinforcement learning strategy, expert rules, statistical calculation, model predictive control, and regression prediction.

[0035] The behavior frequencies described include control activity frequency, decision process call frequency, and decision response time.

[0036] According to the business scenarios, decision logics, and behavior frequencies of production control activities, production control activities successively include, from the root node to the leaf node according to the tree structure:

[0037] Scenario, that is, the business scenario of production control activities;

[0038] Objective, including minimum cost, maximum benefit, minimum loss, minimum deviation, or multi-objective combination;

[0039] Strategy, that is, the decision logic of production control activities; including virtual resources such as associated models / calculation power, entity units of equipment and personnel, and UPG models such as decision task processes.

[0040] The mapping relationship between the UPG model and the BGS tree aims to describe the association relationship between the resource provider and the resource demander in production control activities. Among them, the UPG model is the resource provider, responsible for maintaining and updating the resource state; the BGS tree is the resource demander, responsible for defining the resource requirements of production control activities as structured service requests.

[0041] The present invention also provides a pipeline digital production control resource push device, including a digital control resource push mapping model constructed by the above method; for a given production control activity, the pipeline digital production control resource push device drives the digital control resource push mapping model to push digital production control resources, including:

[0042] Make decisions through the scenario-goal-strategy tree model according to the goals and strategies of the business scenario, and initiate multi-directional resource service requests;

[0043] According to the resource service requests, perform service parsing, service scheduling, task decomposition, and resource status query in sequence to quickly match the available resources in the production control topology model;

[0044] Synchronize the status of the matched resources and generate a service response;

[0045] Push the associated resources to the given production control activity according to the service response.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0047] The present invention establishes a digital control resource push mapping model between production control associated entity / virtual units, production / simulation task processes, control business scenarios, decision-making goals, and control strategies, and realizes data communication and calculation interaction between resources by defining configuration gates. A control topology mapping relationship between the industrial field layer and the production operation layer is established according to the control activity scope and frequency, ensuring the associated synchronization of the status and information of resources and control activities within and between each layer, and improving the accuracy and efficiency of resource indexing, mapping, association, matching, and pushing.

[0048] When the status of the main body of the industrial field unit on the assembly line changes or the control goals or strategies of the production operation layer change, the resource status will be dynamically synchronized and adjusted between each layer. According to the mapping call performance and popularity, the operators on the industrial field layer and the managers on the production operation layer can flexibly configure the mapping relationship, adjust the mapping validity period, correct mapping conflicts, and supplement mapping attributes, which helps to improve the digital, consistent, and standardized management level of assembly line production control resources and the business decision-making level. Brief Description of the Drawings

[0049] Figure 1 It is a schematic diagram of the production control resource topology model (UPG model) for the assembly line;

[0050] Figure 2 It is a schematic flowchart of the method for pushing digital production control resources of the assembly line;

[0051] Figure 3 It is a schematic diagram of the structure of the building block assembly line in an embodiment of the present invention;

[0052] Figure 4 It is a schematic diagram of the method for pushing production control resources of the building block assembly line in an embodiment of the present invention. Detailed Embodiments

[0053] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention and do not impose any limitations on it.

[0054] As Figure 2 shown, a pipeline digital production control resource push method of the present invention includes the following steps:

[0055] (1) According to the physical / virtual units and production / simulation processes on the specified pipeline, construct a production control topology model for the industrial field layer and the production operation layer, including units (Unit), processes (Process), and configuration gates (Gate), abbreviated as the UPG model;

[0056] The construction of the pipeline UPG model is carried out in the order of giving priority to the industrial field layer and then the production operation layer.

[0057] The units in the industrial field layer correspond to physical equipment and facility nodes. For example, Figure 3 as shown in the example, the Lego pipeline includes flexible loading machines, multi-channel automatic material tracks, industrial robots, assembly workbenches, laser marking machines, labeling machines, pneumatic transmission systems, multi-slider conveying systems, and three-dimensional warehouses in production processing and logistics warehousing facilities.

[0058] The processes in the industrial field layer correspond to the collaborative work processes between physical devices. For example, Figure 3 as shown in the example, the core work process of the Lego pipeline production processing and logistics warehousing facilities is that after an order arrives, the assembly robot grabs the corresponding materials from the flexible loading area according to the customization requirements and transfers them to the assembly workbench for assembly. After assembly, the assembly robot sends the toy car to the quality inspection area for appearance inspection. If the inspection passes, it is transferred to the personalized laser engraving unit, otherwise it is transferred to the waste warehouse.

[0059] The configuration gates in the industrial field layer correspond to the basic communication content, channels, and processing logics between units and between processes composed of sensor systems, field bus systems, and intelligent control systems between equipment units and processes, so as to serve the issuance, execution, feedback, and adjustment of sequential production instructions for the pipeline.

[0060] The topological relationship between the units, processes, and configuration gates in the industrial field layer is determined by the production operation process, and a directed topological relationship is formed between the units and the configuration gates in accordance with the operation sequence. The configuration gates and the units, and the configuration gates and the processes maintain a one-to-one associated relationship.

[0061] The units in the production operation layer correspond to logical production units, generally being aggregated units of single or multiple units in the industrial field layer. For example, Figure 3In the illustrated example, the automatic packaging and labeling unit and the three-dimensional storage unit are respectively mapped to the packaging robot, labeling machine, storage robot, and three-dimensional storage unit at the industrial field layer.

[0062] The production operation layer processes correspond to the process operation processes, production operation processes, and simulation processes among the logical production units. The collaborative work process includes a sequential production process composed of personalized product customization units, production assembly units, laser engraving units, automatic packaging and labeling units, and three-dimensional storage units; the production operation process includes maintenance, planning and scheduling, cost accounting, quality sampling inspection, etc.; the simulation process includes production line structure change simulation, production capacity load simulation, uncertainty scenario simulation, etc.

[0063] The production operation layer configuration gate corresponds to a service configuration module composed of structured node data, unstructured production information, simulation optimization models, communication interfaces and protocols, etc. among the logical production units and processes, and is responsible for constructing and parsing service requests and service responses, so as to serve the indexing and matching of pipeline production control resources.

[0064] The topological relationships among the production operation layer units, processes, and configuration gates are determined by the process operation process, production operation process, and simulation process, and form a directed topological relationship in the associated order. A one-to-one associated relationship is maintained between the configuration gate and the unit, and between the configuration gate and the process.

[0065] (2) Establish the unit attributes, process attributes, and configuration gate configuration in the UPG topological model;

[0066] The unit attributes in the UPG model, such as Figure 1 shown, include index identifier ID, unit configuration gate set, unit label, unit level, parent unit set, sub-unit set, referenced process set, unit status, unit operation mechanism, unit maintenance mechanism, unit default configuration, and unit extended attribute set.

[0067] Taking the assembly workbench in the production line shown in Figure 3 as an example, some unit attributes of this equipment are:

[0068] A. Index identifier ID: CO-0-01

[0069] Note: Function code - level code - unit serial number, assembly - industrial field layer L0 - unit No. 1

[0070] B. Unit configuration gate set:

G-CO-0-01, G-PS-0-01

[0071] Note: Configuration gate identifier - unit index identifier, and the configuration gates of associated units at the same layer have an inheritance relationship.

[0072] C. Unit Label: Assembly Workbench

[0073] D. Unit Hierarchy: Industrial Field Layer L0

[0074] E. Set of Parent Units:

CO-1-01, PS-0-01

[0075] Note: CO-1-01 is the identification of the assembly unit in the production operation layer L1, and PS-0-01 is the index identification of the combined unit of the production storage facilities in the industrial field layer

[0076] F. Set of Sub-units: 【】

[0077] Note: The workbench is the smallest unit granularity and has no sub-units

[0078] G. Set of Referenced Processes:

P-R-0-01, P-V-1-01

[0079] Note: Process Identification - Entity / Virtual Label - Hierarchy Code - Process Serial Number

[0080] H. Unit Status: Idle

[0081] Note: The unit status includes several basic statuses such as idle, working, under repair, offline, etc

[0082] Taking the three-dimensional storage unit of the assembly line shown in Figure 3 as an example, some of the attributes of this unit are:

[0083] I. Index Identification ID: ST-1-01

[0084] Note: Function Code - Hierarchy Code - Unit Serial Number, Assembly - Industrial Field Layer L0 - Unit No. 1

[0085] J. Set of Unit Configuration Gates:

G-ST-1-01

[0086] Note: Configuration Gate Identification - Unit Index Identification

[0087] K. Unit Label: Three-dimensional Storage Unit

[0088] L. Unit Hierarchy: Production Operation Layer L1

[0089] M. Set of Parent Units: 【】

[0090] Note: There is no parent unit

[0091] N. Set of Sub-units:

ST-0-01, ST-0-02, RB-0-01

[0092] Note: The subclass units are mapped to the warehousing units ST-0-01 and ST-0-02 and the warehousing robot RB-0-01 at the industrial field layer L0.

[0093] O. Set of referenced processes:

P-R-1-01, P-V-1-05

[0094] Note: Process identification - entity / virtual label - hierarchical code - process serial number. P-R-1-01 refers to the main process of process operation at the production operation layer L1, and P-V-1-05 refers to the simulation process of inventory management at the production operation layer L1.

[0095] P. Unit status: Idle

[0096] In the UPG model, process attributes, such as Figure 1 shown, contain content similar to that of the unit, but are used to define the multi-scenario and multi-level workflow relationships between units. Taking the main process of process operation P-R-1-01 as an example above, some of the attributes of this process are:

[0097] A. Index identification ID: P-R-1-01

[0098] Note: Process code - entity / virtual label - hierarchical code - process serial number

[0099] B. Process label: Main process of process operation

[0100] C. Set of process units:

DE-1-01, CO-0-01, CA-1-01, SI-1-01, ST-1-01,...

[0101] D. Process task type: Production

[0102] E. Process level: Production operation layer L1

[0103] F. Set of parent processes:

P-V-1-01, P-V-1-02,...

[0104] Note: P-V-1-01 and P-V-1-02 are the simulation processes of production scheduling decision-making and maintenance strategy simulation at the production operation layer L1 respectively.

[0105] G. Set of subclass processes:

P-R-1-05, P-R-1-06,...

[0106] Note: P-R-1-05 and P-R-1-06 are the operation processes of the three-dimensional storage unit and the automatic labeling process at the production operation layer L1 respectively.

[0107] H. Set of process reference units:

M-1-0

[0108] Note: The main process operation flow is only initiated by the main virtual unit node M-1-0 of the assembly line.

[0109] I. Process Status: Running

[0110] The configuration gate configuration in the UPG model, such as Figure 1 shown, includes interfaces, content isolation layers, and translation and calculation modules. Taking Figure 3 the configuration gate G-CO-0-01 of the assembly workbench in the example as an example, its translation and calculation module calculates the maximum assembly time, average time, minimum time, and assembly failure rate based on the historical processing logs of the workbench. The content isolation layer filters out redundant attributes and invalid data of the workbench, and the interface reveals some attributes of the workbench according to service requests, such as status, processing efficiency, processing quality, equipment loss situation, etc. The data input and output by the configuration gate are determined by the service content. The specific analysis, calculation, and deduction logic are built into the configuration gate configuration. The configuration gate can call other virtual units for edge computing according to the mapping relationship, such as statistical analysis models, prediction models, optimization models, etc.

[0111] (3) Establish the topological mapping relationship and attribute subordination relationship between and within each layer of the UPG model;

[0112] The topological mapping relationship between the industrial field layer L0 and the production operation layer L1 of the UPG model forms a many-to-many directed mapping according to the order of entities and virtual processes. Since the UPG model serves the production control resource push, the units and processes in the L0 layer are all unidirectionally mapped to the L1 layer, but there can be a bidirectional mapping relationship within the same layer. Figure 3 In the example of the assembly line, since the production process is a sequential process and there is no reverse material transfer relationship, there is also a unidirectional mapping relationship within the same layer.

[0113] The attribute subordination relationship between different layers of the UPG model is determined by the mapping direction between nodes. Here, the nodes can refer to units or processes. The attributes of the starting node always subordinate to the attributes of the ending node. Such as Figure 3 in the example, the unit status of the assembly workbench CO-0-01 in the industrial field layer L0 subordinates to the facility status of the production storage facility PS-0-01 in the industrial field layer L0 and subordinates to the unit status of the assembly unit CO-1-01 in the production operation layer L1. For example, if the assembly workbench CO-0-01 is running, the status of the parent units is all running; while if the assembly workbench CO-0-01 is idle, the parent units will update their status according to the status of other subordinate units.

[0114] Therefore, the UPG model can achieve consistent synchronous status updates from the industrial field layer L0 to the production operation layer L1 and synchronous updates of resource status according to the topological relationship and attribute subordination relationship.

[0115] (4) Construct a Scenario (Business) - Goal - Strategy tree model according to the business scenarios, decision logics, and behavior frequencies of production control activities, abbreviated as the BGS model;

[0116] The business scenarios of production control activities are defined according to the MOM standard functional modules, including more than a dozen standard functions and other related extended functions, all of which can be defined as control business scenarios, such as production scheduling, inventory management, performance evaluation, etc.

[0117] The decision logic of production control activities includes two parts: decision goals and methods. Among them, the decision goals can be determined by comprehensively considering various aspects such as benefits, risks, and costs; the decision methods can be divided into three categories: based on empirical rules, based on models, and based on simulation conditions. Among them, the model-based methods can be further divided into various algorithmic solutions such as based on optimization models, statistical models, and learning models.

[0118] The behavior frequency of production control activities is the decision-making cycle and the service response time requirements for a single decision.

[0119] For example Figure 3 In the example, construct a BGS tree, as Figure 4 shown. Taking the production scheduling business scenario as an example, if its decision goal is to maximize revenue, then an optimization model - heuristic strategy or a learning model - simulation strategy can be selected for decision-making. The specific models and data requirements form a structured service request according to the format requirements.

[0120] (5) Associate the UPG model with the Scenario - Goal - Strategy tree model to form a digital control resource push mapping model according to the resource mapping relationship.

[0121] The mapping relationship between the UPG model and the BGS tree aims to describe the association relationship between the resource suppliers and demanders in production control activities. Among them, the UPG model is the resource supplier, responsible for maintaining and updating the resource status; the BGS tree is the resource demander, responsible for defining the resource requirements of production control activities as structured services.

[0122] Taking Figure 4 the production scheduling business scenario of the assembly line in as an example, the branch "maximize revenue - optimization model - heuristic strategy" needs to be mapped to the P - V - 1 - 01 process of the UPG model; if considering the production scheduling scenario of integrated maintenance activities as an example, then the branch "maximize revenue considering maintenance costs - learning model - simulation strategy" needs to be mapped to the P - V - 1 - 01 and P - V - 1 - 02 processes of the UPG model.

[0123] Based on the topological structure relationship among the resources associated with the pipeline production control activities, the present invention establishes a resource push mapping model among the production control associated entity / virtual units, production / simulation task processes, and control business scenarios, decision-making objectives, and control strategies, so as to solve the problems of isolated resource information, insufficient resource digitization, low resource utilization rate, untimely resource invocation, low production control digitization level, and weak decision-making level in the industrial field layer and production operation layer.

[0124] Data communication and computational interaction among resources are realized by defining configuration gates, and a control topology mapping relationship between the industrial field layer and the production operation layer is established according to the scope and frequency of control activities, ensuring the associated synchronization of the status and information of resources and control activities within and between each layer, and improving the accuracy and efficiency of resource indexing, mapping, association, matching, and pushing. When the state of the main body of the industrial field unit in the pipeline changes or the control objectives or strategies in the production operation layer change, the resource status will be dynamically synchronized and adjusted among the layers. According to the mapping call performance and popularity, the operators in the industrial field layer and the managers in the production operation layer can flexibly configure the mapping relationship, adjust the mapping validity period, correct mapping conflicts, and supplement mapping attributes, which helps to improve the digital, consistent, and standardized management level of pipeline production control resources and the business decision-making level.

[0125] The above-described embodiments have detailed the technical solutions and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the present invention. Any modifications, supplements, equivalent replacements, etc. made within the principle scope of the present invention shall be included within the protection scope of the present invention.

Claims

1. A pipeline digital production control resource push method, characterized in that Including: (1) Construct a digital control resource push mapping model according to the specified production line and corresponding production control activities, including: (1-1) Construct a production control topology model for the industrial field layer and production operation layer according to the entities and virtual units, production and simulation processes on the specified production line; the production control topology model includes units, processes, configuration gates, and their respective attributes and configurations; (1-2) Establish the unit attributes, process attributes, and configuration gate configurations within the production control topology model; (1-3) Establish the topology mapping relationship and attribute subordination relationship between different levels and within the production control topology models at each level; (1-4) Construct a scenario-goal-strategy tree model according to the business scenarios, decision-making logics, and behavior frequencies of the corresponding production control activities; (1-5) Associate the production control topology model with the scenario-goal-strategy tree model according to the resource mapping relationship to form a digital control resource push mapping model; (2) For a given production control activity, drive the digital control resource push mapping model to push digital production control resources, including: (2-1) Make decisions through the scenario-goal-strategy tree model according to the goals and strategies of the business scenario, and initiate multi-directional resource service requests; (2-2) Perform service parsing, service scheduling, task decomposition, and resource status query in sequence according to the resource service requests to quickly match the available resources within the production control topology model; (2-3) Synchronize the status of the matched resources and generate a service response; (2-4) Push the associated resources to the given production control activity according to the service response.

2. The pipeline digital production control resource push method according to claim 1, wherein The units in the industrial field layer correspond to the entity equipment and facility nodes; the processes in the industrial field layer correspond to the collaborative work processes between entity devices; the configuration gates in the industrial field layer correspond to the basic communication content, channels, and processing logics between device units and processes composed of sensor systems, field bus systems, and intelligent control systems, so as to serve the issuance, execution, feedback, and adjustment of sequential production instructions on the production line.

3. The pipeline digital production control resource push method according to claim 1, wherein The topological relationship between the units, processes, and configuration gates in the industrial field layer is determined by the production operation process, and a directed topological relationship is formed between the units and configuration gates in the order of operation.

4. The pipeline digital production control resource push method according to claim 1, characterized in that, The units in the production operation layer correspond to logical production units; the processes in the production operation layer correspond to the process operation processes, production operation processes, and simulation processes between logical production units; The configuration gates in the production operation layer correspond to the service configuration modules composed of structured node data, unstructured production information, simulation optimization models, communication interfaces, and protocols between logical production units and processes, which are responsible for constructing and parsing service requests and service responses, so as to serve the indexing and matching of production control resources on the production line.

5. The pipeline digital production control resource push method according to claim 1, wherein The topological relationship between the units, processes, and configuration gates in the production operation layer is determined by the process operation process, production operation process, and simulation process, and a directed topological relationship is formed in the order of association.

6. The pipeline digital production control resource push method according to claim 1, characterized in that The attributes in the industrial field layer are all subordinate to the hierarchical attributes of the mapping subject in the production operation layer.

7. The pipeline digital production control resource push method according to claim 1, characterized in that The said business scenarios include production plan scheduling, maintenance scheduling, production operation, simulation, and quality assessment; The decision logic described above includes mathematical programming method optimization, discrete-time simulation, reinforcement learning strategy, expert rules, statistical calculation, model predictive control, and regression prediction; The behavior frequencies described above include control activity frequencies, decision process invocation frequencies, and decision response times.

8. The pipeline digital production control resource push method according to claim 1, characterized in that According to the business scenarios, decision logics, and behavior frequencies of production control activities, the production control activities successively include, from the root node to the leaf node, according to a tree structure: Scenario, that is, the business scenario of the production control activity; Objective, including minimum cost, maximum benefit, minimum loss, minimum deviation, or multi-objective combination; Strategy, that is, the decision logic of the production control activity.

9. A pipeline digital production control resource push device, characterized in that, Including the digital control resource push mapping model constructed in the method according to any one of claims 1-8; for a given production control activity, the pipeline digital production control resource push device drives the digital control resource push mapping model to push digital production control resources, including: Making decisions through a scenario-objective-strategy tree model according to the objectives and strategies of the business scenario, and initiating multi-directional resource service requests; Quickly matching the available resources in the production control topology model by successively performing service parsing, service scheduling, task decomposition, and resource status query according to the resource service requests; Synchronizing the status of the matched resources and generating a service response; Pushing associated resources to the given production control activity according to the service response.

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