Measurement production virtual interaction method and system based on three-dimensional industrial simulation technology

Abstract

The invention discloses a measurement production virtual interaction method and system based on a three-dimensional industrial simulation technology, and relates to the technical field of virtual reality, and the method comprises the steps: collecting the data of a production site in real time, and integrating the collected data to a three-dimensional simulation platform through a data interface, according to the actual layout of a production site and the shape of equipment, a three-dimensional modeling technology is used for simulation, production operation data is mapped to corresponding attributes of a three-dimensional model, construction of a virtual production site environment and dynamic operation display of the equipment are carried out in a simulation platform, and automatic control and optimal scheduling of the equipment are carried out according to an algorithm. And setting an equipment operation state monitoring threshold value, performing early warning, and performing optimization adjustment on the production plan and the equipment maintenance plan. According to the invention, production field data is collected in real time, simulation is carried out by using a three-dimensional modeling technology, and automatic control and an optimization scheduling algorithm are combined, so that high efficiency, accuracy and intelligentization of virtual interaction are realized, and the management level and production efficiency of metering production are improved.

Description

Technical Field

[0001] The present invention relates to the field of virtual reality technology, and particularly to a virtual interaction method and system for metering production based on three-dimensional industrial simulation technology. Background Art

[0002] Three-dimensional industrial simulation technology has been widely applied in the field of manufacturing. By simulating the real production environment, this technology provides strong support for the optimization of production processes, equipment management, staff training, etc. Existing three-dimensional simulation technologies have been able to achieve virtual reproduction of the production site. Through real-time data collection and three-dimensional model mapping, production managers can monitor and analyze the production process in a virtual environment. However, although these technologies have played an important role in improving production efficiency and quality control, there are still certain limitations in their application in the field of metering production.

[0003] The current technologies have the following deficiencies in virtual interaction for metering production: Firstly, the specialized management system is loose and resources are scattered. Compared with provincial power grid companies that implement provincial centralized verification and distribution in China, the verification and distribution method based on local power supply bureaus has a low degree of intensification, making it difficult to ensure a high degree of consistency in verification standards and results, difficult to achieve optimal allocation of resources on a larger scale, and also difficult to further improve the metering management level. Secondly, the verification efficiency is low and it is difficult to control the quality of manual operations. With the continuous increase in new users of the business, the full coverage of smart meters, and the full coverage of low-voltage centralized meter reading and other projects, the annual verification quantity of metering equipment is increasing. In the case of limited verification facilities and manpower, the existing manual methods can no longer meet the business needs.

[0004] In addition, in the case of the manual verification mode, due to uneven personnel levels and differences in technical levels, the verification quality is greatly affected by human factors. Moreover, a large amount of resources are occupied and the equipment utilization rate is low. Each power supply bureau in the province independently completes tasks and reserves a margin to cope with emergencies. Each power supply bureau is equipped with equipment, personnel, and venues for verification, testing, and warehousing that meet the peak task requirements, resulting in a large amount of resource occupation and low utilization rate. Finally, the data is scattered and it is difficult to improve the management level. The verification and warehousing of electrical energy metering equipment are important links in the whole-life cycle management and quality tracking. However, there are many process links in the decentralized manual verification and decentralized warehouse distribution. It is difficult to collect and summarize the asset information and verification information of electrical energy metering equipment, making a large amount of data unable to be applied and analyzed, and it is difficult to further improve the technical management level of metering equipment. Summary of the Invention

[0005] In view of the existing problems mentioned above, the present invention provides a virtual interaction method and system for metrology production based on three-dimensional industrial simulation technology to solve the problems of low verification efficiency, difficult quality control of manual operation, high resource occupancy, low equipment utilization rate, scattered data, and difficult improvement of management level in the prior art.

[0006] To solve the above technical problems, a virtual interaction method for metrology production based on three-dimensional industrial simulation technology is proposed, including,

[0007] Collecting data from the production site in real time and integrating the collected data into a three-dimensional simulation platform through a data interface; performing simulation using three-dimensional modeling technology according to the actual layout of the production site and the shape of the equipment, mapping the production operation data to the corresponding attributes of the three-dimensional model, and constructing a virtual production site environment and demonstrating the dynamic operation of the equipment in the simulation platform; performing automatic control and optimal scheduling of the equipment according to the algorithm, setting monitoring thresholds for the equipment operation status, giving early warnings, and optimizing and adjusting the production plan and equipment maintenance plan.

[0008] As a preferred solution of the virtual interaction method for metrology production based on three-dimensional industrial simulation technology of the present invention, wherein: the collecting data from the production site includes collecting equipment status data, process parameters, environmental parameters, quality control data, energy management data, and personnel and logistics data in real time, and inputting the data into the platform through an interface.

[0009] The equipment operation data includes equipment status, equipment rotation speed, equipment load, equipment service life, and equipment maintenance records; the process parameters include processing temperature, pressure parameters, flow data, material ratio, and reaction time; the environmental parameters include temperature, humidity, air quality, noise level, lighting conditions, and vibration data; the quality control data includes equipment size, shape, and quality; the energy management data includes power consumption, water consumption, fuel consumption, and energy utilization rate.

[0010] As a preferred solution of the virtual interaction method for metrology production based on three-dimensional industrial simulation technology of the present invention, wherein: the integrating the collected data into a three-dimensional simulation platform includes developing a data interface and transmitting the preprocessed data to the three-dimensional simulation platform through the interface. After receiving the data, the three-dimensional simulation platform performs verification and format conversion, fuses data from different sources, and updates the state of the three-dimensional simulation model according to the real-time data;

[0011] The preprocessing includes verifying the collected data, detecting outliers in the data using statistical methods, identifying and deleting duplicate data records, and filling in missing data; the format conversion includes converting the data into ISO standard format, normalizing the data, converting unstructured data into structured data, and mapping the original data to the simulation model.

[0012] The developed data interface includes selecting a communication protocol according to the specific requirements of data transmission. When only request-response data transmission is involved, the HTTP protocol is selected. When in real-time two-way communication, the WebSocket protocol is selected. The data packet format, request type, and response format of the interface are defined, and the routing, parameters, request, and response formats of the API are defined. The data sending logic for the front end and the data receiving and processing logic for the back end are written.

[0013] As a preferred solution of the metrological production virtual interaction method based on three-dimensional industrial simulation technology according to the present invention, wherein: the simulation using three-dimensional modeling technology includes creating a three-dimensional model using three-dimensional modeling software based on actual measurement data.

[0014] The three-dimensional model includes the shape, color, and texture of the equipment, and switches, buttons, and valves are added, and mass and friction coefficients are set for the model.

[0015] The mapping of production operation data to the three-dimensional model includes extracting features of the preprocessed data using principal component analysis, mapping the feature values to a fuzzy set using fuzzy logic quantification, and mapping the extracted data features to the three-dimensional model using an adaptive mapping algorithm based on a neural network.

[0016] The adaptive mapping algorithm based on a neural network includes receiving the feature values processed by the fuzzy logic quantification method at the input layer, calculating the output of each node at the hidden layer through an activation function, which is the result of weighted summation of the input layer feature values plus a bias, and calculating the adjustment parameters of the output node, i.e., the attributes of the three-dimensional model, using an activation function at the output layer.

[0017] The formula of the fuzzy logic quantification method is:

[0018]

[0019] where x is the feature value, μ A( x ) is the quantified feature value, c is the center of the membership function, and w is the width parameter.

[0020] As a preferred solution of the metrological production virtual interaction method based on three-dimensional industrial simulation technology according to the present invention, wherein: the dynamic operation display includes initializing the initial state of the equipment, simulating the dynamic operation of the equipment through a state update formula, feeding the updated equipment state back to the adaptive mapping algorithm based on a neural network, calculating the error between the simulation result and the actual measurement value, and adjusting the weights using the gradient descent algorithm.

[0021] The state update formula is:

[0022] St+Δt = S t + Δt·f ( S t , O t )

[0023] where S t is the state of the device at time t, O t is the output of the neural network-based adaptive mapping algorithm at time t, f is the state update function, Δt is the time interval, and S t+Δt is the state of the device at time t + Δt.

[0024] As a preferred solution of the virtual interaction method for metrology production based on three-dimensional industrial simulation technology according to the present invention, wherein: the automatic control and optimal scheduling include predicting the system behavior using a model predictive control algorithm according to the production process and equipment characteristics, the algorithm dynamically adjusts the control parameters according to the real-time collected data, and connects the algorithm with the virtual device model through a three-dimensional industrial simulation platform to automatically control the virtual device.

[0025] The dynamic adjustment of control parameters includes predicting the system behavior using an improved MPC algorithm and dynamically adjusting the control parameters according to the prediction results, and the formula is expressed as:

[0026]

[0027] where u ( t' ) is the control action, y ( t' ) is the current state, y set is the set target, and K y , K u and K d are the improved control parameters, and t' is the current time.

[0028] The automatic control of the virtual device includes sending control commands to the virtual device through the simulation platform for automatic control, and optimizing the scheduling according to the real-time data and prediction results, and the formula is expressed as:

[0029]

[0030] where J is the cost function, λ is the weight factor, y ( t' ) is the current state, y set is the set target, and N is the time period.

[0031] As a preferred solution of the virtual interaction method for metrological production based on three-dimensional industrial simulation technology according to the present invention, wherein: the warning includes setting a monitoring threshold for the operating state of the equipment, giving a warning, and optimizing and adjusting the production plan and equipment maintenance plan according to the analysis results.

[0032] The optimization and adjustment includes using the quotient of the actual output and the theoretical output of the equipment as the equipment efficiency, setting the monitoring threshold for the operating state of the equipment to 0.95. When the actual efficiency is less than 0.95, the system automatically triggers the warning mechanism, analyzes the warning reason, adjusts the maintenance plan, arranges maintenance activities in advance, and optimizes the allocation of maintenance resources. When the actual efficiency is greater than or equal to 0.95, it means that the equipment efficiency is normal, and the current maintenance plan is maintained.

[0033] Another object of the present invention is to provide a virtual interaction system for metrological production based on three-dimensional industrial simulation technology. The present invention reduces waste and delays in the production process through real-time monitoring and optimized scheduling; the system of the present invention collects comprehensive production site data in real time, performs high-precision simulation using three-dimensional modeling technology, and combines advanced automatic control and optimized scheduling algorithms to achieve high efficiency, accuracy and intelligence of virtual interaction, and improve the management level and production efficiency of metrological production.

[0034] As a preferred solution of the virtual interaction system for metrological production based on three-dimensional industrial simulation technology according to the present invention, it is characterized in that it includes a data collection and integration module, a three-dimensional modeling and simulation module, an automatic control and optimized scheduling module, and a warning and optimization adjustment module.

[0035] The data collection and integration module is used to monitor the production site in real time, collect key data, and transmit the collected data to the three-dimensional simulation platform through a data interface.

[0036] The three-dimensional modeling and simulation module is used to create accurate equipment models and environments using three-dimensional modeling technology, map the actual production data onto the three-dimensional models, and construct a virtual production site.

[0037] The automatic control and optimized scheduling module is used to perform automatic control of the equipment according to the production process and equipment characteristics, and use model predictive control algorithms to dynamically adjust control parameters to optimize the production process.

[0038] The warning and optimization adjustment module is used to monitor the operating state of the equipment, set thresholds, trigger warnings, analyze warning reasons, adjust the production plan and maintenance plan according to the warning analysis and equipment state, optimize resource allocation, and improve production efficiency and equipment reliability.

[0039] A computer device includes a memory and a processor. The memory stores a computer program. It is characterized in that when the processor executes the computer program, the steps of the method of metrological production virtual interaction based on three-dimensional industrial simulation technology are realized.

[0040] A computer-readable storage medium stores a computer program thereon. It is characterized in that when the computer program is executed by a processor, the steps of the method of metrological production virtual interaction based on three-dimensional industrial simulation technology are realized.

[0041] Advantages of the present invention: Through three-dimensional industrial simulation, the present invention constructs three-dimensional simulation models of a verification system and a storage system. In the form of virtual simulation, all devices and system facilities of the verification system and the storage system are displayed through three-dimensional simulation. After the administrator generates and configures corresponding dynamic simulation parameters through the simulation operation method, the system operation status of the verification system and the storage system can be simulated in the metrological verification center; subsequently, during work, the sub-servers of the verification system and the storage system report the operation parameters of each system to the background server in real time. After being processed by the background server, corresponding three-dimensional simulation data calculations and conversions are performed to generate dynamic operation parameters of the corresponding three-dimensional simulation model. The operation status of the three-dimensional simulation model is adjusted through the dynamic operation parameters. In this way, in the metrological verification center, through the form of three-dimensional simulation, the operation status of the verification system and the storage system is displayed through a visual model for simulation display, enabling the administrator of the metrological verification center to view the situation without arriving at the verification system and the storage system on-site, saving time. Brief Description of the Drawings

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for description in the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings, where:

[0043] Figure 1 It is the overall flowchart of the metrological production virtual interaction method based on three-dimensional industrial simulation technology provided by an embodiment of the present invention.

[0044] Figure 2 It is the deployment schematic diagram of the metrological verification center of the metrological production virtual interaction method based on three-dimensional industrial simulation technology provided by an embodiment of the present invention.

[0045] Figure 3 It is the system solution flowchart of the metrological production virtual interaction system based on three-dimensional industrial simulation technology provided by an embodiment of the present invention. Detailed Implementation Modes

[0046] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific implementation modes of the present invention in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0048] Secondly, the so-called "one embodiment" or "embodiment" herein refers to specific features, structures, or characteristics that may be included in at least one implementation mode of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive of other embodiments individually or selectively.

[0049] The present invention is described in detail in conjunction with schematic diagrams. When detailing the embodiments of the present invention, for ease of explanation, the cross-sectional views showing the device structure are enlarged locally in a non-general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0050] At the same time, in the description of the present invention, it should be noted that the orientation or positional relationships indicated by terms such as "upper, lower, inner, and outer" are based on the orientation or positional relationships shown in the drawings, and are 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 thus should not be construed as a limitation of the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0051] Unless otherwise clearly defined and limited in the present invention, the terms "mounted, connected, and coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, and can also be indirectly connected through an intermediate medium, or can be the communication inside two elements. 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 circumstances.

[0052] Embodiment 1, referring to Figure 1 andFigure 2 , which is the first embodiment of the present invention. This embodiment provides a virtual interaction method for metrology production based on three-dimensional industrial simulation technology, including:

[0053] S1: Collect data from the production site in real time and integrate the collected data into the three-dimensional simulation platform through a data interface.

[0054] The data collection from the production site includes real-time collection of equipment status data, process parameters, environmental parameters, quality control data, energy management data, and personnel and logistics data, and input the data into the platform through the interface.

[0055] The equipment operation data includes equipment status, equipment speed, equipment load, equipment service life, and equipment maintenance records; the process parameters include processing temperature, pressure parameters, flow data, material ratio, and reaction time; the environmental parameters include temperature, humidity, air quality, noise level, lighting conditions, and vibration data; the quality control data includes equipment dimensions, shape, and quality; the energy management data includes power consumption, water consumption, fuel consumption, and energy utilization rate.

[0056] It should be noted that integrating the collected data into the three-dimensional simulation platform includes developing a data interface and transmitting the preprocessed data to the three-dimensional simulation platform through the interface. After receiving the data, the three-dimensional simulation platform performs verification and format conversion, fuses data from different sources, and updates the state of the three-dimensional simulation model according to real-time data.

[0057] The preprocessing includes verifying the collected data, detecting outliers in the data using statistical methods, identifying and deleting duplicate data records, and filling in missing data; the format conversion includes converting the data into ISO standard format, normalizing the data, converting unstructured data into structured data, and mapping the original data to the simulation model.

[0058] Developing the data interface includes selecting a communication protocol according to the specific requirements of data transmission. When only request-response data transmission is involved, select the HTTP protocol. When in real-time two-way communication, select the WebSocket protocol, define the data packet format, request type, and response format of the interface, and define the routing, parameters, request, and response formats of the API. Write the front-end data sending logic and the back-end data receiving and processing logic.

[0059] S2: Use three-dimensional modeling technology for simulation according to the actual layout of the production site and the shape of the equipment, map the production operation data to the corresponding attributes of the three-dimensional model, and construct a virtual production site environment and display the dynamic operation of the equipment in the simulation platform.

[0060] Further, the simulation using 3D modeling technology includes creating a 3D model using 3D modeling software based on actual measurement data; the 3D model includes the appearance, color, and texture of the device, and switches, buttons, and valves are added, and mass and friction coefficients are set for the model.

[0061] Mapping the production operation data to the 3D model includes extracting features from the preprocessed data using principal component analysis, mapping the feature values to a fuzzy set using fuzzy logic quantization, and mapping the extracted data features to the 3D model using an adaptive mapping algorithm based on neural networks.

[0062] Such as Figure 2 , the metrology verification center is the management center, used to manage each system, including the tasks of the verification system and the automated storage and retrieval system; the verification system center mainly conducts power energy verification work, and the automated storage and retrieval system mainly conducts warehouse storage work through the automated storage and retrieval system; a background server is deployed in the metrology verification center, and corresponding sub-servers are respectively deployed in the verification system and the automated storage and retrieval system; the sub-servers all conduct data communication with the background server through an industrial network.

[0063] The adaptive mapping algorithm based on neural networks includes receiving the feature values processed by the fuzzy logic quantization method at the input layer, calculating the output of each node at the hidden layer through an activation function, that is, the result of the weighted sum of the input layer feature values plus the bias, and calculating the adjustment parameters of the output node, that is, the 3D model attributes, using the activation function at the output layer.

[0064] The formula of the fuzzy logic quantization method is:

[0065]

[0066] Among them, x is the feature value, μ A( x ) is the quantized feature value, c is the center of the membership function, and w is the width parameter.

[0067] The calculation formula of the hidden layer is:

[0068]

[0069] Among them, μ A ( x i ) is the quantized feature value of the i-th node in the input layer, H j is the output of the j-th node in the hidden layer, σ is the activation function of the hidden layer, w ij is the weight from the input layer to the hidden layer, b j is the bias of the hidden layer, and n is the total number of nodes in the input layer.

[0070] The calculation formula of the output layer is:

[0071]

[0072] Among them, O k is the output of the k-th node in the output layer, H j is the output of the j-th node in the hidden layer, m is the total number of nodes in the hidden layer, ρ is the activation function of the output layer, v jk is the weight from the hidden layer to the output layer, c k is the bias of the output layer.

[0073] Furthermore, the dynamic operation display includes initializing the initial state of the device, simulating the dynamic operation of the device through the state update formula, feeding the updated device state back to the neural network-based adaptive mapping algorithm, calculating the error between the simulation result and the actual measurement value, and adjusting the weight using the gradient descent algorithm.

[0074] The state update formula is:

[0075] S t+Δt = S t + Δt·f ( S t , O t )

[0076] Among them, S t is the state of the device at time t, O t is the output of the neural network-based adaptive mapping algorithm at time t, f is the state update function, Δt is the time interval, and S t+Δt is the state of the device at time t + Δt.

[0077] The gradient descent algorithm formula is:

[0078]

[0079] Among them, θ new is the updated weight, θ old is the current weight, α is the learning rate, is the gradient of the loss function with respect to the parameter θ.

[0080] S3: Automatically control and optimize the scheduling of the device according to the algorithm, set the monitoring threshold of the device operation state, give early warnings, and optimize and adjust the production plan and the device maintenance plan.

[0081] Furthermore, the automatic control and optimization scheduling include predicting the system behavior using the model predictive control algorithm according to the production process and device characteristics, dynamically adjusting the control parameters of the algorithm according to the real-time collected data, and connecting the algorithm with the virtual device model through a 3D industrial simulation platform to automatically control the virtual device.

[0082] The dynamic adjustment control parameters include predicting the system behavior using an improved MPC algorithm and dynamically adjusting the control parameters according to the prediction results, which is expressed by the formula:

[0083]

[0084] where u ( t' ) is the control action, y ( t' ) is the current state, y set is the set target, and K y 、K u and K d are the improved control parameters, and t' is the current time.

[0085] The automatic control virtual device includes sending control commands to the virtual device through the simulation platform for automatic control, and optimizing the scheduling according to the real-time data and prediction results, which is expressed by the formula:

[0086]

[0087] where J is the cost function, λ is the weight factor, y ( t' ) is the current state, y set is the set target, and N is the time period.

[0088] Furthermore, the early warning includes setting a monitoring threshold for the device operation state, giving an early warning, and optimizing and adjusting the production plan and device maintenance plan according to the analysis results.

[0089] The optimization and adjustment include using the quotient of the actual output and the theoretical output of the device as the device efficiency, setting the monitoring threshold for the device operation state to 0.95. When the actual efficiency is less than 0.95, the system automatically triggers the early warning mechanism, analyzes the reason for the early warning, adjusts the maintenance plan, arranges maintenance activities in advance, and optimizes the allocation of maintenance resources. When the actual efficiency is greater than or equal to 0.95, it means that the device efficiency is normal, and the current maintenance plan is maintained.

[0090] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

[0091] Example 2, referring to Figure 3, which is the second embodiment of the present invention. This embodiment provides a virtual interactive system for metrology production based on three-dimensional industrial simulation technology, including a data acquisition and integration module 100, a three-dimensional modeling and simulation module 200, an automated control and optimization scheduling module 300, and a warning and optimization adjustment module 400.

[0092] The data acquisition and integration module 100 is used to monitor the production site in real time, collect key data, and transmit the collected data to the three-dimensional simulation platform through a data interface.

[0093] The three-dimensional modeling and simulation module 200 is used to create accurate equipment models and environments using three-dimensional modeling technology, map actual production data onto the three-dimensional models, and construct a virtual production site.

[0094] The automated control and optimization scheduling module 300 is used to perform automated control of equipment according to the production process and equipment characteristics, and use model predictive control algorithms to dynamically adjust control parameters to optimize the production process.

[0095] The warning and optimization adjustment module 400 is used to monitor the operating status of equipment, set thresholds, trigger warnings, analyze the reasons for warnings, and adjust the production plan and maintenance plan according to the warning analysis and equipment status to optimize resource allocation and improve production efficiency and equipment reliability.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

[0097] Embodiment 3, the third embodiment of the present invention, which is different from the previous two embodiments in that:

[0098] If the above-mentioned functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0099] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device.

[0100] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memories), optical fiber devices, and portable compact disc read-only memories (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0101] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

Claims

1. A virtual interactive method for metrological production based on three-dimensional industrial simulation technology, characterized by: include, Collect data from the production site in real time and integrate the collected data into the 3D simulation platform through the data interface; Use 3D modeling technology to simulate the actual layout of the production site and the shape of the equipment, map the production operation data to the corresponding attributes of the 3D model, and build a virtual production site environment and display the dynamic operation of the equipment in the simulation platform; Perform automated control and optimized scheduling of equipment based on algorithms, set thresholds for monitoring equipment operating status, issue early warnings, and optimize and adjust production plans and equipment maintenance plans.

2. The metrology production virtual interaction method based on three-dimensional industrial simulation technology according to claim 1, characterized in that: The data collected at the production site includes real-time collection of equipment status data, process parameters, environmental parameters, quality control data, energy management data, and personnel and logistics data, and inputting the data into the platform through an interface; The equipment operation data includes equipment status, equipment speed, equipment load, equipment service life and equipment maintenance records; the process parameters include processing temperature, pressure parameters, flow data, material ratio and reaction time; the environmental parameters include temperature, humidity, air quality, noise level, lighting conditions and vibration data; the quality control data includes equipment size, shape and quality; the energy management data includes electricity consumption, water consumption, fuel consumption and energy utilization rate.

3. The metrology production virtual interaction method based on three-dimensional industrial simulation technology according to claim 2, characterized in that: Integrating the collected data into the three-dimensional simulation platform includes developing a data interface, and transmitting the pre-processed data to the three-dimensional simulation platform through the interface. After receiving the data, the three-dimensional simulation platform performs verification and format conversion, and fuses data from different sources, and updates the three-dimensional simulation model status according to the real-time data; The preprocessing includes verifying the collected data, detecting outliers in the data using statistical methods, identifying and deleting duplicate data records, and filling in missing data; the format conversion includes converting the data into an ISO standard format, normalizing the data, converting unstructured data into structured data, and mapping the original data to a simulation model; The development of the data interface includes selecting a communication protocol according to the specific needs of data transmission. When data transmission only performs request response, the HTTP protocol is selected; when in real-time two-way communication, the WebSocket protocol is selected. The data packet format, request type and response format of the interface are defined, and the routing, parameters, request and response formats of the API are defined. The front-end data sending logic and the back-end data receiving and processing logic are written.

4. The metrology production virtual interaction method based on three-dimensional industrial simulation technology as claimed in claim 3, characterized in that: The simulation using three-dimensional modeling technology includes creating a three-dimensional model based on actual measurement data using three-dimensional modeling software; The three-dimensional model includes the shape, color and texture of the device, adds switches, buttons and valves, and sets the mass and friction coefficient for the model; Mapping the production operation data to the three-dimensional model includes extracting features from the preprocessed data using principal component analysis, mapping feature values ​​to fuzzy sets using fuzzy logic quantization, and mapping the extracted data features to the three-dimensional model using a neural network-based adaptive mapping algorithm; The neural network-based adaptive mapping algorithm includes receiving the eigenvalues ​​processed by the fuzzy logic quantization method at the input layer, calculating the output of each node, i.e., the result of weighted summation of the eigenvalues ​​of the input layer and adding the bias, at the hidden layer, using the activation function, and calculating the adjustment parameters of the output node, i.e., the attributes of the three-dimensional model, at the output layer using the activation function; The fuzzy logic quantization method formula is: Among them, x is the eigenvalue, μ A( x ) is the quantized eigenvalue, c is the center of the membership function, and w is the width parameter.

5. The metrology production virtual interaction method based on three-dimensional industrial simulation technology according to claim 4, characterized in that: The dynamic operation display includes initializing the initial state of the device, simulating the dynamic operation of the device through a state update formula, feeding back the updated device state to an adaptive mapping algorithm based on a neural network, calculating the error between the simulation result and the actual measurement value, and adjusting the weight using a gradient descent algorithm; The state update formula is: S t+Δt =S t +Δt·f ( S t ,O t ) Among them, S t is the state of the device at time t, O t is the output of the neural network-based adaptive mapping algorithm at time t, f is the state update function, Δt is the time interval, S t+Δt is the state of the device at time t+Δt.

6. The metrology production virtual interaction method based on three-dimensional industrial simulation technology according to claim 5, characterized in that: The automated control and optimized scheduling include predicting system behavior using a model predictive control algorithm based on production processes and equipment characteristics, dynamically adjusting control parameters based on real-time collected data, and automatically controlling virtual equipment by connecting the algorithm to a virtual equipment model through a three-dimensional industrial simulation platform; The dynamic adjustment of control parameters includes using an improved MPC algorithm to predict system behavior and dynamically adjusting control parameters according to the prediction results. The formula is expressed as: Among them, u ( t' ) To control the action, y ( t' ) is the current state, y set To set goals, K y , K u and K d is the improved control parameter, t' is the current time; The automatic control virtual device includes sending control commands to the virtual device through the simulation platform to perform automatic control and optimize scheduling according to real-time data and prediction results. The formula is expressed as: Among them, J is the cost function, λ is the weight factor, and y ( t' ) is the current state, y set To set a goal, N is the time period.

7. The metrology production virtual interaction method based on three-dimensional industrial simulation technology according to claim 6, characterized in that: The early warning includes setting a threshold for monitoring the equipment operation status, issuing an early warning, and optimizing and adjusting the production plan and equipment maintenance plan according to the analysis results; The optimization adjustment includes using the quotient of the actual output of the equipment and the theoretical output as the equipment efficiency, setting the equipment operation status monitoring threshold to 0.95, when the actual efficiency is less than 0.95, the system automatically triggers the early warning mechanism, analyzes the cause of the early warning, adjusts the maintenance plan, arranges maintenance activities in advance, and optimizes the allocation of maintenance resources. When the actual efficiency is greater than or equal to 0.95, it indicates that the equipment efficiency is normal and the current maintenance plan is maintained.

8. A system using the metrology production virtual interaction method based on three-dimensional industrial simulation technology as described in any one of claims 1 to 7, characterized in that: It includes data acquisition and integration module, 3D modeling and simulation module, automatic control and optimization scheduling module, and early warning and optimization adjustment module; The data acquisition and integration module is used to monitor the production site in real time, collect key data, and transmit the collected data to the three-dimensional simulation platform through the data interface; The three-dimensional modeling and simulation module is used to create accurate equipment models and environments using three-dimensional modeling technology, map actual production data onto the three-dimensional model, and construct a virtual production site; The automation control and optimization scheduling module is used to perform automation control of equipment according to the production process and equipment characteristics, and dynamically adjust control parameters using a model predictive control algorithm to optimize the production process; The early warning and optimization adjustment module is used to monitor the equipment operation status, set thresholds, trigger early warnings, analyze the causes of early warnings, adjust production plans and maintenance plans based on early warning analysis and equipment status, optimize resource allocation, and improve production efficiency and equipment reliability.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the virtual interactive method for metrology production based on three-dimensional industrial simulation technology described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the virtual interactive method for metrology production based on three-dimensional industrial simulation technology described in any one of claims 1 to 7 are implemented.

Images