Attribute parameter dictionary construction method and device of measurement and control equipment and electronic equipment

Abstract

The invention provides an attribute parameter dictionary construction method and device of measurement and control equipment and electronic equipment. The method comprises the steps that equipment details, equipment functions and real-time system parameters of the measurement and control equipment and digital modeling rules of the equipment functions are acquired; matching the equipment function with a preset feature description to obtain a target feature description corresponding to the equipment function and a mapping relationship between the equipment function and the target feature description; determining a target identifier corresponding to the feature description from the identifier; constructing a dictionary instance of the equipment details according to the equipment function, the target feature description, the mapping relation, the digital modeling rule, the real-time system parameters and the target identifier; and constructing an attribute parameter dictionary of the measurement and control equipment according to the dictionary instance. According to the technology, the multi-dimensional information of the measurement and control equipment is systematically integrated, and the mapping relation between the multi-dimensional information and the preset feature description and the mapping relation between the multi-dimensional information and the identifier are established, so that the attribute parameter dictionary is automatically constructed, and the efficiency and accuracy of equipment management and configuration are improved.

Description

Technical Field

[0001] The present invention relates to the field of measurement and control technology, and in particular to a method and device for constructing an attribute parameter dictionary of measurement and control equipment, and electronic equipment. Background Art

[0002] In modern industrial production, measurement and control equipment is a critical component for ensuring process stability and product quality. Its performance and efficiency have a direct impact on overall production profitability. With the rapid development of industrial automation and intelligentization, the functional requirements and technical complexity of measurement and control equipment continue to increase, demanding higher precision, reliability, and flexibility. To meet these growing demands, digital modeling and simulation technologies are becoming increasingly important for designing and optimizing measurement and control equipment. Accurate digital models can effectively predict and optimize equipment performance, thereby shortening R&D cycles, reducing costs, and improving production efficiency.

[0003] However, the methods and standards currently used by different manufacturers and research institutions in the digital modeling of measurement and control equipment vary widely, leading to poor interoperability and reusability of digital models. For example, different manufacturers may use different data formats and modeling specifications, making cross-platform and cross-manufacturer collaborative design difficult.

[0004] Specifically, the lack of a unified, standardized modeling approach limits the sharing and integration of digital models across different systems and platforms, increases the workload and cost of repeated modeling, and reduces R&D efficiency. To address this issue, a standardized dictionary of attribute parameters for measurement and control equipment is urgently needed. Summary of the Invention

[0005] The object of the present invention is to provide a method, device and electronic device for constructing an attribute parameter dictionary of a measurement and control device, so as to construct a set of standardized attribute parameter dictionaries of the measurement and control device.

[0006] In the first aspect, an embodiment of the present invention provides a method for constructing an attribute parameter dictionary of a measurement and control device, including: obtaining device details, device functions, real-time system parameters and digital modeling rules of the measurement and control device; matching the preset feature description of the above-mentioned device function to obtain a target feature description corresponding to the above-mentioned device function, and a mapping relationship between the above-mentioned device function and the above-mentioned target feature description; determining a target identifier corresponding to the above-mentioned feature description from a preset identifier; constructing a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device function, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters and the above-mentioned target identifier; and constructing an attribute parameter dictionary of the above-mentioned measurement and control device according to the above-mentioned dictionary instance.

[0007] In a preferred embodiment of the present invention, after the step of matching the above-mentioned device function with a preset feature description to obtain a target feature description corresponding to the above-mentioned device function, the above-mentioned method further includes: matching the above-mentioned device function with a preset digital model to obtain a target digital model; and constructing a dictionary instance corresponding to the above-mentioned device details based on the above-mentioned device function, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters and the above-mentioned target identifier, including: constructing a dictionary instance corresponding to the above-mentioned device details based on the above-mentioned device function, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the real-time system parameters, the above-mentioned target identifier and the above-mentioned target digital model.

[0008] In a preferred embodiment of the present invention, after the step of constructing a dictionary instance corresponding to the above-mentioned device details based on the above-mentioned device functions, the above-mentioned target feature descriptions, the above-mentioned mapping relationships, the above-mentioned digital modeling rules, the real-time system parameters, the above-mentioned target identifiers and the above-mentioned target digital models, the above-mentioned method further includes: performing static verification on the above-mentioned dictionary instance through preset static verification rules, screening out target data in the above-mentioned dictionary instance that does not comply with the above-mentioned static verification rules; and outputting an error prompt code according to the above-mentioned target data.

[0009] In a preferred embodiment of the present invention, after the step of constructing the attribute parameter dictionary of the above-mentioned measurement and control equipment according to the above-mentioned dictionary instance, the above-mentioned method includes: if a new device function of the above-mentioned measurement and control equipment is received, updating the above-mentioned real-time system parameters and the new digital modeling rules of the above-mentioned new device function; matching feature descriptions for the above-mentioned new device functions to obtain new feature descriptions corresponding to the above-mentioned new device functions, and new mapping relationships between the above-mentioned new device functions and the above-mentioned new feature descriptions; determining new identifiers corresponding to the above-mentioned new device functions from the above-mentioned identifiers; constructing new dictionary instances corresponding to the above-mentioned device details according to the above-mentioned new device functions, the above-mentioned new feature descriptions, the above-mentioned new mapping relationships, the above-mentioned new digital modeling rules, the updated real-time system parameters and the above-mentioned new identifiers; and reconstructing the above-mentioned attribute parameter dictionary according to the above-mentioned new dictionary instances and the above-mentioned dictionary instances.

[0010] In a preferred embodiment of the present invention, the above-mentioned measurement and control equipment is a welding equipment; the functions of the above-mentioned equipment include: laser weld tracking function, welding quality diagnosis function, adaptive welding path correction function and digital twin simulation function; the first target identifier corresponding to the above-mentioned laser weld tracking function, the above-mentioned welding quality diagnosis function and the above-mentioned adaptive welding path correction function is a floating point type; the second target identifier corresponding to the above-mentioned digital twin simulation function is a character string.

[0011] In a preferred embodiment of the present invention, after the steps of obtaining the device details, device functions, real-time system parameters of the measurement and control device, and the digital modeling rules of the above device functions, the above method includes: matching a target intelligent level for the above device functions based on a preset intelligent level division standard; constructing a dictionary instance corresponding to the above device details according to the above device functions, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, and the above target identifier, including: constructing a dictionary instance corresponding to the above device details according to the above device functions, the above target feature description, the above mapping relationship, the above target intelligent level, the above digital modeling rules, the above real-time system parameters, and the above target identifier.

[0012] In a preferred embodiment of the present invention, after the steps of obtaining the device details, device functions, real-time system parameters of the measurement and control device, and the digital modeling rules of the above device functions, the above method further includes: setting access permissions for the above measurement and control device based on a preset access permission setting rule and the above device details; the step of constructing a dictionary instance corresponding to the above device details according to the above device functions, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, and the above target identifier includes: constructing a dictionary instance corresponding to the above device details according to the above device functions, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, the above target identifier, and the above access permissions; after the step of constructing an attribute parameter dictionary of the above measurement and control device according to the above dictionary instance, the above method includes: if an operation instruction of the above attribute parameter dictionary input by the user is received, determining whether the user has the operation permission for the above attribute parameter dictionary according to the above operation instruction and the above access permissions; if there is the above operation permission, allowing the user to operate on the above attribute parameter dictionary.

[0013] In a preferred embodiment of the present invention, the step of constructing a dictionary instance corresponding to the above device details according to the above device functions, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, the above target identifier, and the above access permissions includes: writing the above device functions, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, the above target identifier, and the above access permissions into a preset instantiation mapping table to obtain a filled instantiation mapping table; constructing a dictionary instance corresponding to the above device details according to the above instantiation mapping table.

[0014] In the second aspect, an embodiment of the present invention provides an attribute parameter dictionary construction device for measurement and control equipment, including: a data acquisition module for acquiring device details, device functions, real-time system parameters and digital modeling rules of the measurement and control equipment; a mapping relationship determination module for matching the above-mentioned device functions with preset feature descriptions to obtain target feature descriptions corresponding to the above-mentioned device functions, and a mapping relationship between the above-mentioned device functions and the above-mentioned target feature descriptions; an identifier matching module for determining a target identifier corresponding to the above-mentioned feature description from a preset identifier; an instance construction module for constructing a dictionary instance corresponding to the above-mentioned device details based on the above-mentioned device functions, the above-mentioned target feature descriptions, the above-mentioned mapping relationships, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters and the above-mentioned target identifiers; and a dictionary construction module for constructing an attribute parameter dictionary for the above-mentioned measurement and control equipment based on the above-mentioned dictionary instance.

[0015] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement a method for constructing an attribute parameter dictionary of the measurement and control device.

[0016] The embodiments of the present invention have the following beneficial technical effects:

[0017] The embodiment of the present invention provides a method, device and electronic device for constructing an attribute parameter dictionary of a measurement and control device, including: obtaining device details, device functions, real-time system parameters and digital modeling rules of the measurement and control device; matching the device functions with preset feature descriptions to obtain target feature descriptions corresponding to the device functions, as well as a mapping relationship between the device functions and the target feature descriptions; determining a target identifier corresponding to the feature descriptions from preset identifiers; constructing a dictionary instance corresponding to the device details based on the device functions, the target feature descriptions, the mapping relationship, the digital modeling rules, the real-time system parameters and the target identifiers; and constructing an attribute parameter dictionary for the measurement and control device based on the dictionary instance. This technology systematically integrates multi-dimensional information of the measurement and control device, including device details, functions, real-time parameters and digital modeling rules, and establishes a mapping relationship between them and preset feature descriptions and identifiers, thereby realizing the automated construction of an attribute parameter dictionary, thereby improving the efficiency and accuracy of device management and configuration. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 It is a schematic flowchart of a method for constructing an attribute parameter dictionary of a measurement and control device provided by an embodiment of the present invention;

[0020] Figure 2 It is a schematic flowchart of another method for constructing an attribute parameter dictionary of a measurement and control device provided by an embodiment of the present invention;

[0021] Figure 3 It is a schematic structural diagram of an attribute parameter dictionary construction device of a measurement and control device provided by an embodiment of the present invention;

[0022] Figure 4 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0023] Icons: 31 - Data acquisition module; 32 - Mapping relationship determination module; 33 - Identifier matching module; 34 - Instance construction module; 35 - Dictionary construction module; 41 - Memory; 42 - Processor; 43 - Bus; 44 - Communication interface. Specific embodiments

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated in the drawings here can be arranged and designed in various different configurations.

[0025] In modern industrial production, measurement and control equipment is crucial for production stability and product quality. With the development of automation and intelligence, its functional requirements and technical complexity are continuously increasing. Digital modeling and simulation technology has become a key means for optimizing design, which can effectively predict and improve equipment performance, shorten the R & D cycle, and reduce costs. However, currently, the modeling methods and standards of each manufacturer and research institution vary greatly, resulting in poor interoperability and reusability of digital models, increasing the difficulty and cost of cross-platform collaborative design. To solve this problem, it is urgent to construct a set of standardized attribute parameter dictionaries for measurement and control devices to promote sharing and integration between different systems, reduce repetitive work, and improve R & D efficiency.

[0026] Based on this, the embodiments of the present invention provide a method, an apparatus, and an electronic device for constructing an attribute parameter dictionary of a measurement and control device, which improves the efficiency and accuracy of the management and configuration of the measurement and control device. For the sake of easy understanding, first, a method for constructing an attribute parameter dictionary of a measurement and control device is introduced.

[0027] Embodiment 1

[0028] In this embodiment, Figure 1 is a schematic flowchart of a method for constructing an attribute parameter dictionary of a measurement and control device provided by an embodiment of the present invention. The method includes:

[0029] Step S101: Obtain the device details, device functions, real-time system parameters of the measurement and control device, and the digital modeling rules of the above device functions.

[0030] In this embodiment, the above device details include the manufacturer information, production batch, and product model of the measurement and control device, etc.; the above device functions are used to indicate the specific tasks or functions that the measurement and control device can perform; the above real-time system parameters are generally obtained through the controller of the measurement and control device, and are used to indicate that the real-time system parameters refer to the specific numerical values and status information of various internal or external variables of the system at a certain moment; the above digital modeling rules refer to a series of guiding principles and specifications followed when creating a digital model.

[0031] Step S102: Match the above device functions with preset feature descriptions to obtain the target feature descriptions corresponding to the above device functions, and the mapping relationship between the above device functions and the above target feature descriptions.

[0032] For the sake of easy understanding, assume the following device functions of the measurement and control device: Environmental perception: Perform environmental scanning through lasers; Joint temperature monitoring: Monitor the temperature change at the joints of the device; Path correction: Adjust the movement path of the device according to environmental changes.

[0033] Based on this, the preset feature descriptions are a set of attributes or characteristics defined in advance, used to describe different aspects of the device functions. These feature descriptions can be technical parameters, user experience, performance indicators, etc.

[0034] Specifically, the following are some preset feature descriptions: 1. The data acquisition frequency corresponding to environmental scanning, which refers to the number of times the measurement and control device acquires data per unit time; 2. The data acquisition accuracy corresponding to joint temperature monitoring, which refers to the deviation degree between the data acquired by the measurement and control device and the true value; 3. The control response speed corresponding to path correction, which refers to the time required for the measurement and control device to respond to a control instruction.

[0035] Here, the above-mentioned data acquisition frequency is a characteristic description of the above-mentioned environmental scanning, which is used to provide the data acquisition capability of the measurement and control equipment; the above-mentioned data acquisition accuracy is a characteristic description of the above-mentioned joint temperature monitoring, which is used to provide the status monitoring capability of the measurement and control equipment; the above-mentioned control response speed is a characteristic description of the above-mentioned path correction, which is used to provide the control response capability of the measurement and control equipment.

[0036] Step S103: Determine a target identifier corresponding to the above feature description from preset identifiers.

[0037] Here, the object identifier (Identifier) is a symbol, name or code used to uniquely identify the feature description.

[0038] Step S104: constructing a dictionary instance corresponding to the device details according to the device function, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters and the target identifier.

[0039] In actual operation, the device functions, target feature descriptions, mapping relationships, digital modeling rules, real-time system parameters, and target identifiers are sequentially entered into a pre-set table to generate an instantiated mapping table. Then, based on this instantiated mapping table, a dictionary instance in JSON-LD format is generated.

[0040] Step S105: constructing the attribute parameter dictionary of the measurement and control device according to the dictionary instance.

[0041] In actual operation, building the attribute parameter dictionary of the measurement and control equipment can be achieved by defining each function and its related attributes, which describe the functions and technical parameters of the measurement and control equipment.

[0042] Specifically, the attribute parameter dictionary can include the function name, the attribute block to which it belongs, and the attribute list. The attribute list contains the specific information of each attribute, such as the attribute name, attribute identifier, data type, data value, and remarks.

[0043] For example, a device function called "Environmental Scanning Using Lasers" has a property block called "Intelligent Perception Data Acquisition Capability," with a property name of "Data Acquisition Frequency," an identifier of 0x0002, a data type of FLOAT, a data value of 200.0, and a note indicating the unit is Hz. Another device function called "Monitoring Temperature Changes at Device Joints" has a property block called "Monitoring and Diagnostic Status Monitoring Capability," with a property list containing one property called "Data Acquisition Accuracy," an identifier of 0x0005, a data type of FLOAT, a data value of 99.8, and a note indicating the unit is percentage, with an error range of less than ±1°C. A path correction function called "Adjusting the Device's Movement Path Based on Environmental Changes" has a property block called "Adaptive and Optimizing Control Capability," with a property list containing one property called "Control Response Speed," an identifier of 0x0043, a data type of FLOAT, a data value of 0.02, and a note indicating the unit is seconds, or 20 milliseconds.

[0044] Finally, this attribute parameter dictionary can be used in a variety of scenarios. For example, product manuals detail device functions and technical specifications to help users understand device performance. Development documentation provides developers with clear function and attribute definitions for testing and optimization. Maintenance manuals provide technicians with specific parameters for each device function to facilitate troubleshooting and maintenance. Adding new functions or modifying existing attributes can be done directly in the corresponding JSON object. For example, if a new function is added to the battery management system, a new entry can be added according to the above structure.

[0045] An embodiment of the present invention provides a method for constructing an attribute parameter dictionary of a measurement and control device, including: obtaining the device details, device functions, real-time system parameters of the measurement and control device, and digital modeling rules of the above device functions; matching the above device functions with preset feature descriptions to obtain target feature descriptions corresponding to the above device functions, and the mapping relationship between the above device functions and the above target feature descriptions; determining a target identifier corresponding to the above feature description from preset identifiers; constructing a dictionary instance corresponding to the above device details according to the above device functions, the above target feature descriptions, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, and the above target identifier; constructing an attribute parameter dictionary of the above measurement and control device according to the above dictionary instance. This technology realizes systematic and structured management of the functions and technical parameters of the measurement and control device by obtaining device details, functions, real-time system parameters, and digital modeling rules, and matching the device functions with preset feature descriptions to establish a mapping relationship, thereby determining the corresponding target identifier, and finally constructing a detailed dictionary instance and an attribute parameter dictionary based on this information. It not only improves the efficiency of parameter configuration and query, but also enhances the convenience of device maintenance and fault troubleshooting. At the same time, it provides clear function definitions and attribute descriptions for developers, facilitating testing and optimization work.

[0046] Embodiment 2

[0047] Based on the above embodiment, Figure 2 is a flowchart of another method for constructing an attribute parameter dictionary of a measurement and control device provided by an embodiment of the present invention. The method includes:

[0048] Step S201: Obtain the device details, device functions, real-time system parameters of the measurement and control device, and digital modeling rules of the above device functions.

[0049] In one implementation, the above measurement and control device may be a welding device; the above device functions include: laser weld tracking function, welding quality diagnosis function, adaptive welding path correction function, and digital twin simulation function.

[0050] Furthermore, the above measurement and control device is a welding robot, and the above real-time system parameters are generally obtained through the PLC of the welding robot, including: the joint temperature of the welding robot, welding current, laser scanning frequency, and control parameters, etc. For example, it is a common method to control the welding current through a PID (Proportional-Integral-Derivative) controller to ensure the stability and accuracy of the current during the welding process. Moreover, the above digital modeling rules can be static modeling rules or dynamic behavior modeling rules. The static modeling rule is the topological structure modeling rule of the welding robot, and the dynamic behavior modeling rule is the joint motion modeling rule.

[0051] Here, static modeling rules primarily focus on the structure, properties, and state of the measurement and control equipment, without addressing how these properties change over time. They describe the state or configuration of the system at a given moment, typically representing the system's physical structure, the relationships between components, and parameter settings. Dynamic behavioral modeling rules focus on the behavior and processes of the measurement and control equipment over time, describing how the system responds to external inputs or changes in its internal state. These rules encompass not only the current state of the measurement and control equipment but also the rules and conditions for transitions between states.

[0052] Step S202: matching the device function with a preset feature description to obtain a target feature description corresponding to the device function, and a mapping relationship between the device function and the target feature description.

[0053] Step S203: Match the above device functions with a preset digital model to obtain a target digital model.

[0054] For example, the above-mentioned welding robot has a digital twin simulation function, and the target digital model is a digital twin simulation model.

[0055] Step S204: Determine a target identifier corresponding to the above feature description from preset identifiers.

[0056] Among them, the first target identifier corresponding to the above-mentioned laser weld tracking function, the above-mentioned welding quality diagnosis function, and the above-mentioned adaptive welding path correction function is a floating point type; the second target identifier corresponding to the above-mentioned digital twin simulation function is a string.

[0057] Step S205: Construct a dictionary instance corresponding to the device details according to the device function, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifier and the target digital model.

[0058] In this embodiment, in addition to the above-mentioned laser weld tracking function, welding quality diagnosis function, adaptive welding path correction function and digital twin simulation function, it is assumed that the above-mentioned welding robot also has a digital twin simulation model function. The function name is to build and run a digital simulation model. The attribute block is a digital model modeling simulation model. The attribute name is the physical model. The attribute identifier is 0X0120, the data type is STRING, and the data value is the welding geometry heating mechanical coupling model. The remarks explain the specific physical principles and methods used, thereby constructing the dictionary instance.

[0059] Step S206: constructing the attribute parameter dictionary of the measurement and control device according to the dictionary instance.

[0060] In some examples, after the step of constructing the attribute parameter dictionary of the above-mentioned measurement and control device according to the above-mentioned dictionary instance, the above-mentioned method includes: if a new device function of the above-mentioned measurement and control device is received, updating the above-mentioned real-time system parameters and the new digital modeling rules of the above-mentioned new device function; matching feature descriptions for the above-mentioned new device functions to obtain new feature descriptions corresponding to the above-mentioned new device functions, and new mapping relationships between the above-mentioned new device functions and the above-mentioned new feature descriptions; determining new identifiers corresponding to the above-mentioned new device functions from the above-mentioned identifiers; constructing a new dictionary instance corresponding to the above-mentioned device details according to the above-mentioned new device functions, the above-mentioned new feature descriptions, the above-mentioned new mapping relationships, the above-mentioned new digital modeling rules, the updated real-time system parameters and the above-mentioned new identifiers; and reconstructing the above-mentioned attribute parameter dictionary according to the above-mentioned new dictionary instance and the above-mentioned dictionary instance.

[0061] Here, the method dynamically updates the digital modeling rules of real-time system parameters and newly added equipment functions, and matches feature descriptions and identifiers for the newly added functions, thereby constructing and integrating new dictionary instances. This achieves real-time updating and maintenance of the attribute parameter dictionary, ensuring the functional scalability of the measurement and control equipment and the flexibility and accuracy of parameter management.

[0062] Furthermore, after step S205, the method further includes: performing static verification on the dictionary instance according to preset static verification rules, screening out target data in the dictionary instance that does not comply with the static verification rules; and outputting an error prompt code according to the target data.

[0063] Here, the dictionary instance is verified through the preset static verification rules, and the target data that does not meet the rules and its error prompt code are filtered and output, ensuring the accuracy and consistency of the attribute parameter dictionary and improving the reliability and maintenance efficiency of the system.

[0064] In some examples, after the steps of obtaining the device details, device functions, real-time system parameters of the measurement and control device, and the digital modeling rules of the above-mentioned device functions, the above method includes: matching a target intelligent level for the above-mentioned device functions based on a preset intelligent level division standard; constructing a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device functions, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, and the above-mentioned target identifier, including: constructing a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device functions, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned target intelligent level, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, and the above-mentioned target identifier. The purpose of doing this is to match a corresponding target intelligent level for each measurement and control device function by introducing an intelligent level division standard and taking it into account when constructing the dictionary instance, so as to realize the quantification and classification of the intelligent degree of the measurement and control device functions. This not only helps to more precisely describe and manage the functional characteristics of the device, but also improves the pertinence of system configuration and optimization, ensures that functional modules with different intelligent levels can be reasonably allocated and efficiently utilized, and ultimately improves the performance and reliability of the entire system.

[0065] In other examples, after the steps of obtaining the device details, device functions, real-time system parameters of the measurement and control device, and the digital modeling rules of the above-mentioned device functions, the above method further includes: setting access permissions for the above-mentioned measurement and control device based on a preset access permission setting rule and the above-mentioned device details; the step of constructing a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device functions, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, and the above-mentioned target identifier includes: constructing a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device functions, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, the above-mentioned target identifier, and the above-mentioned access permission; after the step of constructing an attribute parameter dictionary of the above-mentioned measurement and control device according to the above-mentioned dictionary instance, the above method includes: if an operation instruction of the above-mentioned attribute parameter dictionary input by the user is received, determining whether the user has the operation permission for the above-mentioned attribute parameter dictionary according to the above-mentioned operation instruction and the above-mentioned access permission; if the above operation permission exists, allowing the user to operate on the above-mentioned attribute parameter dictionary.

[0066] Here, the above access permission can be represented by the following characters. For example: RO means that the user can view the dictionary instance but cannot modify it; RW means that the user can view the dictionary instance and can modify or edit the dictionary instance.

[0067] Furthermore, the step of constructing a dictionary instance corresponding to the above-mentioned device details based on the above-mentioned device function, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, the above-mentioned target identifier and the above-mentioned access rights includes: writing the above-mentioned device function, the above-mentioned target feature description, the above-mentioned mapping relationship, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, the above-mentioned target identifier and the above-mentioned access rights into a preset instantiation mapping table to obtain a filled instantiation mapping table; and constructing a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned instantiation mapping table.

[0068] In this embodiment, by writing device functions, target feature descriptions, mapping relationships, digital modeling rules, real-time system parameters, target identifiers, and access permissions into a preset instantiated mapping table and constructing a dictionary instance based on the table, this method ensures the comprehensiveness and accuracy of device details, improves the systematicness and security of data management, and simplifies the management and maintenance process of complex device configurations.

[0069] An embodiment of the present invention provides a method for constructing an attribute parameter dictionary of a measurement and control device, comprising: obtaining device details, device functions, real-time system parameters, and digital modeling rules for the device functions; matching the device functions with preset feature descriptions to obtain target feature descriptions corresponding to the device functions, as well as a mapping relationship between the device functions and the target feature descriptions; matching the device functions with preset digital models to obtain target digital models; determining a target identifier corresponding to the feature descriptions from preset identifiers; constructing a dictionary instance corresponding to the device details based on the device functions, the target feature descriptions, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifiers, and the target digital models; and constructing an attribute parameter dictionary for the measurement and control device based on the dictionary instance. The method systematically obtains detailed information, function descriptions, and real-time parameters of the measurement and control device, accurately models the device functions using preset digital models, matches the target feature descriptions and identifiers, and thereby constructs a detailed attribute parameter dictionary, significantly improving the automation and intelligence level of device management. In particular, through the application of digital models, it ensures a dynamic and accurate description of device behavior and status, enhancing the maintainability and scalability of the system.

[0070] Example 3

[0071] Based on the above embodiments, Figure 3 A schematic structural diagram of an attribute parameter dictionary construction device for measurement and control equipment provided by an embodiment of the present invention.

[0072] Depend on Figure 3 As can be seen, the device includes:

[0073] A data acquisition module 31, configured to acquire device details, device functions, real-time system parameters of the measurement and control device, and digital modeling rules for the above-mentioned device functions.

[0074] A mapping relationship determination module 32, configured to match the above-mentioned device functions with preset feature descriptions to obtain target feature descriptions corresponding to the above-mentioned device functions, and mapping relationships between the above-mentioned device functions and the above-mentioned target feature descriptions.

[0075] An identifier matching module 33, configured to determine target identifiers corresponding to the above-mentioned feature descriptions from preset identifiers.

[0076] An instance construction module 34, configured to construct a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device functions, the above-mentioned target feature descriptions, the above-mentioned mapping relationships, the above-mentioned digital modeling rules, the above-mentioned real-time system parameters, and the above-mentioned target identifiers.

[0077] A dictionary construction module 35, configured to construct an attribute parameter dictionary of the above-mentioned measurement and control device according to the above-mentioned dictionary instance.

[0078] Wherein, the above-mentioned data acquisition module 31, mapping relationship determination module 32, identifier matching module 33, instance construction module 34, and dictionary construction module 35 are connected in sequence.

[0079] In one implementation, the mapping relationship determination module 32 is further configured to match the above-mentioned device functions with a preset digital model to obtain a target digital model; the instance construction module 34 is further configured to construct a dictionary instance corresponding to the above-mentioned device details according to the above-mentioned device functions, the above-mentioned target feature descriptions, the above-mentioned mapping relationships, the above-mentioned digital modeling rules, real-time system parameters, the above-mentioned target identifiers, and the above-mentioned target digital model.

[0080] In one implementation, the dictionary construction module 35 is further configured to perform static verification on the above-mentioned dictionary instance through preset static verification rules, filter out target data in the above-mentioned dictionary instance that does not conform to the above-mentioned static verification rules; and output an error prompt code according to the above-mentioned target data.

[0081] In one of the embodiments, the data acquisition module 31 is further configured to update the above real-time system parameters and the new digital modeling rules of the above new device function if it receives the new device function of the above measurement and control device; the mapping relationship determination module 32 is further configured to match a feature description for the above new device function to obtain a new feature description corresponding to the above new device function, and a new mapping relationship between the above new device function and the above new feature description; the identifier matching module 33 is further configured to determine a new identifier corresponding to the above new device function from the above identifiers; the above instance construction module 34 is further configured to construct a new dictionary instance corresponding to the above device details according to the above new device function, the above new feature description, the above new mapping relationship, the above new digital modeling rules, the updated above real-time system parameters, and the above new identifier; the above dictionary construction module 35 is further configured to reconstruct the above attribute parameter dictionary according to the above new dictionary instance and the above dictionary instance.

[0082] In one of the embodiments, the mapping relationship determination module 32 is further configured to match a target intelligent level for the above device function based on a preset intelligent level division standard; the instance construction module 34 is further configured to construct a dictionary instance corresponding to the above device details according to the above device function, the above target feature description, the above mapping relationship, the above target intelligent level, the above digital modeling rules, the above real-time system parameters, and the above target identifier.

[0083] In one of the embodiments, the instance construction module 34 is further configured to set an access permission for the above measurement and control device based on a preset access permission setting rule and the above device details; construct a dictionary instance corresponding to the above device details according to the above device function, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, the above target identifier, and the above access permission; if it receives an operation instruction for the above attribute parameter dictionary input by the user, determine whether the user has the operation permission for the above attribute parameter dictionary according to the above operation instruction and the above access permission; if there is the above operation permission, allow the user to operate on the above attribute parameter dictionary.

[0084] In one of the embodiments, the instance construction module 34 is further configured to write the above device function, the above target feature description, the above mapping relationship, the above digital modeling rules, the above real-time system parameters, the above target identifier, and the above access permission into a preset instantiation mapping table to obtain a filled instantiation mapping table; construct a dictionary instance corresponding to the above device details according to the above instantiation mapping table.

[0085] The device for constructing the attribute parameter dictionary of the measurement and control device provided by the embodiment of the present invention has the same technical features as the method for constructing the attribute parameter dictionary of the measurement and control device provided by the above embodiment, so it can also solve the same technical problems and achieve the same technical effects. Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working process of the device described above can refer to the corresponding process in the foregoing method embodiment, and will not be described herein again.

[0086] Embodiment 4

[0087] This embodiment provides an electronic device, including a processor and a memory. The memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the steps of the method for constructing the attribute parameter dictionary of the measurement and control device.

[0088] This embodiment provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for constructing the attribute parameter dictionary of the measurement and control device are implemented.

[0089] See Figure 4 The structural schematic diagram of an electronic device shown. The electronic device includes: a memory 41 and a processor 42. A computer program that can run on the processor 42 is stored in the memory 41. When the processor executes the computer program, the steps provided by the above method for constructing the attribute parameter dictionary of the measurement and control device are implemented.

[0090] As Figure 4 shown, the device further includes: a bus 43 and a communication interface 44. The processor 42, the communication interface 44, and the memory 41 are connected through the bus 43. The processor 42 is used to execute an executable module stored in the memory 41, such as a computer program.

[0091] Among them, the memory 41 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory. Through at least one communication interface 44 (which can be wired or wireless), a communication connection between the device network element and at least one other network element is realized, and the Internet, wide area network, local area network, metropolitan area network, etc. can be used.

[0092] The bus 43 may be an ISA bus, a PCI bus, an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 4 only a bidirectional arrow is used in

[0093] Among them, the memory 41 is used to store programs. After receiving an execution instruction, the processor 42 executes the program. The method executed by the attribute parameter dictionary construction device of the measurement and control device disclosed in any embodiment of the present invention can be applied to or implemented by the processor 42. The processor 42 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by the integrated logic circuit in hardware or instructions in software form in the processor 42. The above-mentioned processor 42 may be a general-purpose processor, including a central processing unit (CPU for short), a network processor (NP for short), etc.; it may also be a digital signal processor (DSP for short), an application specific integrated circuit (ASIC for short), a field-programmable gate array (FPGA for short), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present invention can be directly embodied as being completed by a hardware decoding processor, or completed by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory 41, and the processor 42 reads the information in the memory 41 and combines its hardware to complete the steps of the above method.

[0094] Furthermore, an embodiment of the present invention also provides a machine-readable storage medium. The machine-readable storage medium stores machine-executable instructions. When the machine-executable instructions are called and executed by the processor 42, the machine-executable instructions cause the processor 42 to implement the above-mentioned method for constructing the attribute parameter dictionary of the measurement and control device.

[0095] The electronic device and the computer-readable storage medium provided by the embodiments of the present invention have the same technical features, so they can also solve the same technical problems and achieve the same technical effects.

[0096] In addition, in the description of the embodiments of the present invention, unless otherwise clearly defined and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0097] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

Claims

1. A method for constructing an attribute parameter dictionary of a measurement and control device, characterized in that, Including: Obtain the device details, device functions, real-time system parameters of the measurement and control device, and the digital modeling rules of the above device functions; Match the device functions with preset feature descriptions to obtain target feature descriptions corresponding to the device functions, and the mapping relationship between the device functions and the target feature descriptions; Determine the target identifier corresponding to the feature description from the preset identifiers; Construct a dictionary instance corresponding to the device details according to the device functions, the target feature descriptions, the mapping relationship, the digital modeling rules, the real-time system parameters, and the target identifier; Construct an attribute parameter dictionary of the measurement and control device according to the dictionary instance.

2. The method for constructing an attribute parameter dictionary of the measurement and control device according to claim 1, wherein, After the step of matching the device functions with preset feature descriptions to obtain target feature descriptions corresponding to the device functions, the method further includes: Match the device functions with a preset digital model to obtain a target digital model; The step of constructing a dictionary instance corresponding to the device details according to the device functions, the target feature descriptions, the mapping relationship, the digital modeling rules, the real-time system parameters, and the target identifier includes: Construct a dictionary instance corresponding to the device details according to the device functions, the target feature descriptions, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifier, and the target digital model.

3. The method for constructing the attribute parameter dictionary of the measurement and control device according to claim 2, characterized in that, After the step of constructing a dictionary instance corresponding to the device details according to the device functions, the target feature descriptions, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifier, and the target digital model, the method further includes: Perform static verification on the dictionary instance through preset static verification rules, and filter out the target data in the dictionary instance that does not conform to the static verification rules; Output an error prompt code according to the target data.

4. The method for constructing the attribute parameter dictionary of the measurement and control device according to claim 1, wherein After the step of constructing an attribute parameter dictionary of the measurement and control device according to the dictionary instance, the method includes: If a new device function of the measurement and control device is received, update the real-time system parameters and the new digital modeling rules of the new device function; Match a feature description for the new device function to obtain a new feature description corresponding to the new device function, and a new mapping relationship between the new device function and the new feature description; Determine the new identifier corresponding to the new device function from the identifiers; Construct a new dictionary instance corresponding to the device details according to the new device function, the new feature description, the new mapping relationship, the new digital modeling rules, the updated real-time system parameters, and the new identifier; Re-construct the attribute parameter dictionary according to the new dictionary instance and the dictionary instance.

5. The method for constructing the attribute parameter dictionary of the measurement and control device according to claim 1, characterized in that The measurement and control device is a welding device; the functions of the device include: laser weld tracking function, welding quality diagnosis function, adaptive welding path correction function, and digital twin simulation function; the first target identifiers corresponding to the laser weld tracking function, the welding quality diagnosis function, and the adaptive welding path correction function are of floating-point type; the second target identifier corresponding to the digital twin simulation function is a string.

6. The method for constructing the attribute parameter dictionary of the measurement and control device according to claim 1, wherein After the steps of obtaining the device details, device functions, real-time system parameters, and digital modeling rules of the measurement and control device, the method includes: based on a preset intelligent level division standard, matching a target intelligent level for the device functions; Constructing a dictionary instance corresponding to the device details according to the device functions, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters, and the target identifier includes: constructing a dictionary instance corresponding to the device details according to the device functions, the target feature description, the mapping relationship, the target intelligent level, the digital modeling rules, the real-time system parameters, and the target identifier.

7. The method for constructing the attribute parameter dictionary of the measurement and control device according to claim 1, characterized in that, After the steps of obtaining the device details, device functions, real-time system parameters, and digital modeling rules of the measurement and control device, the method further includes: Setting access permissions for the measurement and control device based on a preset access permission setting rule and the device details; The step of constructing a dictionary instance corresponding to the device details according to the device functions, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters, and the target identifier includes: Constructing a dictionary instance corresponding to the device details according to the device functions, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifier, and the access permissions; After the step of constructing an attribute parameter dictionary of the measurement and control device according to the dictionary instance, the method includes: If an operation instruction of the attribute parameter dictionary input by the user is received, determining whether the user has the operation permission for the attribute parameter dictionary according to the operation instruction and the access permissions; if the user has the operation permission, allowing the user to operate on the attribute parameter dictionary.

8. The method for constructing the attribute parameter dictionary of the measurement and control device according to claim 7, characterized in that, The step of constructing a dictionary instance corresponding to the device details according to the device functions, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifier, and the access permissions includes: Writing the device functions, the target feature description, the mapping relationship, the digital modeling rules, the real-time system parameters, the target identifier, and the access permissions into a preset instantiation mapping table to obtain a filled instantiation mapping table; Constructing a dictionary instance corresponding to the device details according to the instantiation mapping table.

9. An apparatus for constructing an attribute parameter dictionary of a measurement and control device, characterized in that, Including: A data acquisition module for acquiring the device details, device functions, real-time system parameters, and digital modeling rules of the measurement and control device; A mapping relationship determination module, configured to match the device functions with preset feature descriptions to obtain target feature descriptions corresponding to the device functions and the mapping relationships between the device functions and the target feature descriptions; An identifier matching module, configured to determine, from preset identifiers, target identifiers corresponding to the feature descriptions; An instance construction module, configured to construct a dictionary instance corresponding to the device details according to the device functions, the target feature descriptions, the mapping relationships, the digital modeling rules, the real-time system parameters, and the target identifiers; A dictionary construction module, configured to construct an attribute parameter dictionary of the measurement and control device according to the dictionary instance; 10. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the method for constructing an attribute parameter dictionary of the measurement and control device according to any one of claims 1 to 8.

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