CN113984416A - Detection data processing method, device and equipment for bogie and readable storage medium - Google Patents

Detection data processing method, device and equipment for bogie and readable storage medium Download PDF

Info

Publication number
CN113984416A
CN113984416A CN202111058064.3A CN202111058064A CN113984416A CN 113984416 A CN113984416 A CN 113984416A CN 202111058064 A CN202111058064 A CN 202111058064A CN 113984416 A CN113984416 A CN 113984416A
Authority
CN
China
Prior art keywords
bogie
preset
detection
twin model
parameters
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111058064.3A
Other languages
Chinese (zh)
Inventor
马寅
韩晓辉
吴向阳
田仁勇
陶俊池
冷传彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CRRC Qingdao Sifang Co Ltd
Original Assignee
CRRC Qingdao Sifang Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CRRC Qingdao Sifang Co Ltd filed Critical CRRC Qingdao Sifang Co Ltd
Priority to CN202111058064.3A priority Critical patent/CN113984416A/en
Publication of CN113984416A publication Critical patent/CN113984416A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00Testing of vehicles
    • G01M17/08Railway vehicles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures

Abstract

The invention provides a detection data processing method, a device, equipment and a readable storage medium for a bogie, wherein the method comprises the following steps: acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics; constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie; determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements; and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography. According to the invention, by combining an informatization technology, the automatic detection of the size of the bogie is realized, the size accuracy of the bogie in the processing, welding and assembling links is ensured, the repeated shape-correcting times of the bogie after welding and assembling are reduced, and the working efficiency and the processing precision are improved compared with manual detection.

Description

Detection data processing method, device and equipment for bogie and readable storage medium
Technical Field
The invention relates to the technical field of railway vehicles, in particular to a detection data processing method, a device and equipment for a bogie and a readable storage medium.
Background
The rail transit becomes an important vehicle, how to solve the problems of safety, reliability and comfort in high speed and complex environment, and continuously improve the strength and precision of the vehicle, and is a great problem which needs to be overcome urgently in the industry.
At present, the traditional detection of the side beam part of the railway vehicle comprises the procedures of detection before assembly, detection after welding, detection before machining and the like, the detection process adopts a manually operated three-dimensional scriber to complete the measurement of the size, and after each step of detection, the shape correction work is carried out according to the detection result.
However, manual detection is affected by the skill level of operators, the accuracy of detection results is determined by the normalization of the detection process, the recording and transmission of the detection results still adopt a paper recording form, and the problems of low operation efficiency, poor informatization degree and the like exist.
Disclosure of Invention
The invention provides a detection data processing method of a bogie, which is used for solving the problems that in the prior art, the detection of a side beam part of a railway vehicle is mainly carried out manually and is influenced by the skill level of an operator, the detection result accuracy is determined by the normalization in the detection process, the recording and transmission of the detection result still adopt a paper recording form, the defects of low operation efficiency and poor informatization degree exist, the automatic detection of the size of the bogie is realized by combining an informatization technology, the size accuracy of the bogie in the processing, welding and assembling links is ensured, the repeated shape correction times of the bogie after welding and assembling are reduced, and the working efficiency and the processing accuracy are improved compared with manual detection.
The invention also provides a detection data processing device of the bogie.
The invention also provides electronic equipment.
The present invention also provides a non-transitory computer readable storage medium.
According to a first aspect of the present invention, a method for processing detection data of a bogie is provided, including:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
It should be noted that, due to the complexity of the bogie structure, welding and assembling are performed in multiple steps from a part to a final product, and a dimension detection is performed after each welding step to ensure the accuracy of subsequent part assembling, so that repeated shape correction is performed after each welding step, which results in low repeated operation efficiency on one hand and risks of reducing material performance on the other hand.
In a possible implementation mode, for the measurement of the size of the bogie, a corresponding mechanical arm, a linear module, an industrial camera and the like can be arranged to detect the three-dimensional appearance size of the bogie, and meanwhile, a corresponding artificial intelligence system is also arranged to construct a twin model according to the three-dimensional appearance size of the bogie, check and detect the size of the twin model according to a corresponding database, and generate a correction decision for correcting the shape and size of the bogie when the size of the bogie obtained from the twin model does not meet the preset appearance characteristics in the database.
It should be noted that the twin model provided by the invention adopts a digital twin technology, integrates multidisciplinary, multi-physical quantity, multi-scale and multi-probability simulation processes by using data such as a physical model, sensor updating and operation history, and finishes mapping in a virtual space, thereby reflecting the full life cycle process of corresponding entity equipment.
Further, the digital twin is to have a digital model of the physical entity object, sense, diagnose and predict the state of the physical entity object in real time through actual measurement, simulation and data analysis, and regulate and control the behavior of the physical entity object through optimization and instructions.
According to an embodiment of the present invention, the step of constructing a twin model according to the first feature parameter and extracting a preset feature corresponding to the bogie specifically includes:
distributing detection nodes to the twin model, and extracting mimicry morphology parameters of the twin model according to the detection nodes;
traversing the preset feature according to the detection node, extracting a preset node corresponding to the detection node, and generating a preset feature parameter according to the preset node;
and judging the twin model and the preset morphology characteristics according to the mimicry morphology parameters and the preset morphology parameters.
Specifically, the embodiment provides an implementation manner that a twin model is built according to the first feature parameters, and preset feature characteristics corresponding to the bogie are extracted, and by establishing detection nodes in the twin model, the three-dimensional features of the twin model are divided, and specifically, the divided pixels can be classified according to the distribution model of the detection nodes.
In a possible implementation manner, when detecting nodes are allocated to the twin model, selection may be performed according to a corresponding node database, for example, a quadrilateral detection matrix, a hexagonal detection matrix, and the like are selected, the quadrilateral detection matrix and the hexagonal detection matrix are classified according to shapes formed by connecting adjacent detecting nodes, and by classifying the detecting nodes according to the detected shapes, data extraction of the twin model is made to be closer to a true value.
In a possible implementation mode, the shape of the detection node can be adjusted and distributed according to the structure of the twin model, and the acquisition and corresponding calculation of the three-dimensional topography data of the twin model with a special shape are realized through the detection matrix with an irregular shape.
According to an embodiment of the present invention, the step of assigning a detection node to the twin model and extracting the mimicry morphology parameter of the twin model according to the detection node specifically includes:
acquiring a preset space coordinate, and performing coordinate fitting on the twin model according to the preset space coordinate;
obtaining the feature profile characteristics corresponding to the bogie profile in the twin model after the coordinate fitting, and distributing first type nodes according to the feature profile characteristics;
acquiring the weld appearance characteristics corresponding to the welding position of the bogie in the twin model after the coordinates are fitted, and distributing second type nodes according to the weld appearance characteristics;
acquiring the appearance characteristics of the assembling surface corresponding to the assembling surface of the bogie in the twin model after the coordinate fitting, and distributing a third type of node according to the appearance characteristics of the matching surface;
and generating the detection node according to the first class node, the second class node and the second class node.
Specifically, the embodiment provides an implementation manner for allocating detection nodes to the twin model and extracting the mimicry morphology parameters of the twin model, and the accuracy of extracting the three-dimensional morphology parameters of the bogie is improved by respectively arranging the first type of nodes, the second type of nodes and the third type of nodes according to the profile, the welding position and the assembly surface of the bogie in the process of extracting the three-dimensional morphology parameters of the twin model.
It should be noted that different pixels and calculation models may be allocated in the first class node, the second class node, and the third class node, so as to implement different calculation accuracies and calculation manners for different nodes.
In a possible implementation mode, the first type node emphasizes the construction of the bogie outline, and only the construction of the outline of the bogie is needed, the main emphasis is on the fluency of the connection between adjacent nodes, the accuracy of the outline formed by the connection of each node, and the linear parameters of the first type node emphasizing the nodes.
In a possible implementation mode, the second type nodes focus on the construction of the appearance characteristics of the welding position of the bogie, the arrangement of the second type nodes focus on the heat smoothness, the temperature transfer, the force transfer among connecting parts and the mutual acting force in the welding process, and the mechanical coupling of the second type nodes and the gravity nodes.
In a possible implementation mode, the third type node focuses on the construction of a bogie matching surface, the connection with other components or self sub-components is realized in connection modes such as bogie splicing, butt joint and threads, and in the matching process, the micro deformation of the matching surface exists, and the problems of fatigue accumulation and the like are caused to the bogie in long-term use, so that the third type node focuses on the volatility parameter of the node.
According to an embodiment of the present invention, the step of determining that the twin model does not satisfy the preset topographic feature and generating a correction decision for correcting the bogie according to the twin model and the preset topographic feature specifically includes:
determining a detection area of the twin model which does not meet the preset morphological characteristics;
extracting the detection nodes in the detection area, and determining the correction type of the twin model according to the detection nodes;
and generating the correction decision corresponding to the bogie according to the correction type.
Specifically, the embodiment provides an implementation manner of generating a correction decision for correcting the bogie according to the twin model and the preset topography, and the method and the device realize construction of an actual three-dimensional topography of the bogie through the twin model according to parameters such as line shape, mechanical coupling and volatility of detection nodes, determine a defect of the corresponding bogie and a corresponding correction decision according to the constructed twin model, and perform shape correction work on the bogie according to the correction decision.
According to an embodiment of the present invention, the step of determining that the twin model meets the preset topographic feature and determining that the bogie meets the detection requirement specifically includes:
acquiring subsequent processes of the bogie, and extracting preset detection time and process parameters corresponding to the bogie according to the subsequent processes;
after the preset detection duration, acquiring the three-dimensional feature of the bogie, and generating a second feature parameter according to the three-dimensional feature;
and constructing the twin model according to the process parameters and the second morphological parameters.
Specifically, the embodiment provides an implementation mode of a subsequent step of judging that the bogie meets the detection requirement, and the bogie can also involve subsequent processes in the welding and assembling processes, so that the accuracy of the overall welding and assembling of the bogie can be ensured, the workload of shape correction is reduced, and the working efficiency is improved by detecting the size of the bogie in each process.
According to an embodiment of the present invention, the step of obtaining the subsequent process of the bogie and extracting the preset detection time and the process parameters according to the subsequent process specifically includes:
determining the subsequent process as a welding process, and acquiring a welding mode, a welding seam position and a welding temperature of the bogie in the welding process;
and generating the process parameters according to the welding mode, the welding position and the welding temperature.
Specifically, the embodiment provides an implementation mode for extracting preset detection duration and process parameters according to the subsequent process, after the subsequent process is determined to be a welding process, the welding mode, the welding seam position and the welding temperature in the welding process are obtained, and the subsequent twinborn model three-dimensional morphology parameters are obtained mainly through the second type of nodes, so that the detection of the size of the bogie is realized, the efficiency of the bogie in the welding and assembling processes is improved, and the number of times of shape correction is reduced.
According to an embodiment of the present invention, the step of obtaining the subsequent process of the bogie and extracting the preset detection time and the process parameters according to the subsequent process specifically includes:
determining the subsequent process as an assembly process, and acquiring an assembly surface, an assembly process and an assembly deformation of the bogie in the assembly process;
and generating the process parameters according to the assembling surface, the assembling process and the assembling deformation.
Specifically, the embodiment provides another implementation mode for extracting the preset detection duration and the process parameters according to the subsequent process, after the subsequent process is determined as the assembling process, the assembling surface, the assembling process and the assembling deformation amount in the assembling project are obtained, and the subsequent twinborn model three-dimensional morphology parameters are obtained mainly through the third type of nodes, so that the detection of the size of the bogie is realized, the efficiency of the bogie in the welding and assembling processes is improved, and the number of times of shape correction is reduced.
According to a second aspect of the present invention, there is provided a detection data processing apparatus for a bogie, comprising: the device comprises an acquisition module, an extraction module, a judgment module and a generation module;
the acquisition module is used for acquiring three-dimensional shape parameters of the bogie and taking the three-dimensional shape parameters as first shape parameters;
the extraction module is used for constructing a twin model according to the first morphology parameters and extracting preset morphology features corresponding to the bogie;
the judging module is used for determining that the twin model meets the preset morphological characteristics and judging that the bogie meets the detection requirements;
the generating module is used for determining that the twin model does not meet the preset topography and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
According to a third aspect of the present invention, there is provided an electronic apparatus comprising: a memory and a processor;
the memory and the processor complete mutual communication through a bus;
the memory stores computer instructions executable on the processor;
and when the processor calls the computer instruction, the detection data processing method of the bogie can be executed.
According to a fourth aspect of the present invention, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method for processing detection data of a bogie.
One or more technical solutions in the present invention have at least one of the following technical effects: according to the detection data processing method, device and equipment for the bogie and the readable storage medium, provided by the invention, the automatic detection of the size of the bogie is realized by combining an informatization technology, the size accuracy of the bogie in the processing, welding and assembling links is ensured, the repeated shape correction times of the bogie after welding and assembling are reduced, and the working efficiency and the processing precision are improved compared with manual detection.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for processing detection data of a bogie according to the present invention;
FIG. 2 is a schematic structural diagram of a detection data processing device of a bogie provided by the invention;
fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.
Reference numerals:
10. an acquisition module; 20. An extraction module; 30. A decision module;
40. a generation module; 50. A processor; 60. A communication interface;
70. a memory; 80. A communication bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments. In the description of the present application, "at least one" includes one or more unless otherwise specified. "plurality" means two or more. For example, at least one of A, B and C, comprising: a alone, B alone, a and B in combination, a and C in combination, B and C in combination, and A, B and C in combination. In this application, "/" means "or, for example, A/B may mean A or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In some embodiments of the present invention, as shown in fig. 1, the present disclosure provides a method for processing detection data of a bogie, including:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
In detail, the invention provides a detection data processing method of a bogie, which is used for solving the problems that in the prior art, the detection of a side beam part of a railway vehicle is mainly carried out manually, the detection is influenced by the skill level of an operator, the detection result accuracy is determined by the normative during the detection process, the detection result is still recorded and transmitted in a paper recording form, the defects of low operation efficiency and poor informatization degree exist, the automatic detection of the size of the bogie is realized by combining an informatization technology, the size accuracy of the bogie in the processing, welding and assembling links is ensured, the repeated shape correction times of the welded and assembled bogie are reduced, and the work efficiency and the processing accuracy are improved compared with manual detection.
It should be noted that, due to the complexity of the bogie structure, welding and assembling are performed in multiple steps from a part to a final product, and a dimension detection is performed after each welding step to ensure the accuracy of subsequent part assembling, so that repeated shape correction is performed after each welding step, which results in low repeated operation efficiency on one hand and risks of reducing material performance on the other hand.
In a possible implementation mode, for the measurement of the size of the bogie, a corresponding mechanical arm, a linear module, an industrial camera and the like can be arranged to detect the three-dimensional appearance size of the bogie, and meanwhile, a corresponding artificial intelligence system is also arranged to construct a twin model according to the three-dimensional appearance size of the bogie, check and detect the size of the twin model according to a corresponding database, and generate a correction decision for correcting the shape and size of the bogie when the size of the bogie obtained from the twin model does not meet the preset appearance characteristics in the database.
It should be noted that the twin model provided by the invention adopts a digital twin technology, integrates multidisciplinary, multi-physical quantity, multi-scale and multi-probability simulation processes by using data such as a physical model, sensor updating and operation history, and finishes mapping in a virtual space, thereby reflecting the full life cycle process of corresponding entity equipment.
Further, the digital twin is to have a digital model of the physical entity object, sense, diagnose and predict the state of the physical entity object in real time through actual measurement, simulation and data analysis, and regulate and control the behavior of the physical entity object through optimization and instructions.
In some possible embodiments of the present invention, the step of constructing a twin model according to the first topography parameter and extracting a preset topography corresponding to the bogie specifically includes:
distributing detection nodes to the twin model, and extracting a mimicry morphology parameter of the twin model according to the detection nodes;
traversing preset feature characteristics according to the detection nodes, extracting preset nodes corresponding to the detection nodes, and generating preset feature parameters according to the preset nodes;
and judging the twin model and the preset morphology characteristics according to the mimicry morphology parameters and the preset morphology parameters.
Specifically, the embodiment provides an implementation manner that a twin model is constructed according to a first feature parameter, and a preset feature corresponding to a bogie is extracted, and by establishing a detection node in the twin model, the three-dimensional feature of the twin model is divided, and specifically, the divided pixels can be classified according to a distribution model of the detection node.
In a possible implementation manner, when detecting nodes are allocated to the twin model, selection may be performed according to a corresponding node database, for example, a quadrilateral detecting matrix, a hexagonal detecting matrix, and the like are selected, the quadrilateral detecting matrix and the hexagonal detecting matrix are classified according to shapes formed by connecting adjacent detecting nodes, and by classifying the detecting nodes according to the detecting shapes, data extraction of the twin model is made to be closer to a true value.
In a possible implementation mode, the shape of the detection node can be adjusted and distributed according to the structure of the twin model, and the acquisition and corresponding calculation of the three-dimensional topography data of the twin model with a special shape are realized through the detection matrix with an irregular shape.
In some possible embodiments of the present invention, the step of allocating a detection node to the twin model and extracting the mimicry morphology parameter of the twin model according to the detection node specifically includes:
acquiring a preset space coordinate, and performing coordinate fitting on the twin model according to the preset space coordinate;
obtaining the feature profile characteristics corresponding to the profile of the bogie in the twin model after the coordinate fitting, and distributing first type nodes according to the feature profile characteristics;
acquiring the weld appearance characteristics corresponding to the welding position of the bogie in the twin model after the coordinates are fitted, and distributing second type nodes according to the weld appearance characteristics;
acquiring the appearance characteristics of the assembling surface corresponding to the assembling surface of the bogie in the twin model after the coordinate fitting, and distributing a third type node according to the appearance characteristics of the matching surface;
and generating a detection node according to the first class node, the second class node and the second class node.
Specifically, the embodiment provides an implementation method for allocating detection nodes to twin models and extracting simulated morphology parameters of the twin models, and in the process of extracting three-dimensional morphology parameters of the twin models, a first type of nodes, a second type of nodes and a third type of nodes are respectively arranged according to the contour, the welding position and the assembly surface of a bogie, so that the accuracy of extracting the three-dimensional morphology parameters of the bogie is improved.
It should be noted that different pixels and calculation models may be allocated in the first class node, the second class node, and the third class node, so as to implement different calculation accuracies and calculation manners for different nodes.
In a possible implementation mode, the first type node emphasizes the construction of the bogie outline, and only the construction of the outline of the bogie is needed, the main emphasis is on the fluency of the connection between adjacent nodes, the accuracy of the outline formed by the connection of each node, and the linear parameters of the first type node emphasizing the nodes.
In a possible implementation mode, the second type nodes focus on the construction of the appearance characteristics of the welding position of the bogie, the arrangement of the second type nodes focus on the heat smoothness, the temperature transfer, the force transfer among connecting parts and the mutual acting force in the welding process, and the mechanical coupling of the second type nodes and the gravity nodes.
In a possible implementation mode, the third type node focuses on the construction of a bogie matching surface, the connection with other components or self sub-components is realized in connection modes such as bogie splicing, butt joint and threads, and in the matching process, the micro deformation of the matching surface exists, and the problems of fatigue accumulation and the like are caused to the bogie in long-term use, so that the third type node focuses on the volatility parameter of the node.
In some possible embodiments of the present invention, the step of determining that the twin model does not satisfy the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography specifically includes:
determining a detection area of the twin model which does not meet the preset morphological characteristics;
extracting detection nodes in the detection area, and determining the correction type of the twin model according to the detection nodes;
and generating a correction decision corresponding to the bogie according to the correction type.
Specifically, the embodiment provides an implementation manner of generating a correction decision for correcting a bogie according to a twin model and preset topography features, and the method is implemented by constructing an actual three-dimensional topography of the bogie through the twin model according to parameters such as line shape, mechanical coupling and volatility of detection nodes, determining defects and corresponding correction decisions of the bogie according to the constructed twin model, and performing shape correction on the bogie according to the correction decisions.
In some possible embodiments of the present invention, the step of determining that the twin model meets the preset topographic characteristics and determining that the bogie meets the detection requirements specifically includes:
acquiring subsequent processes of the bogie, and extracting preset detection time and process parameters corresponding to the bogie according to the subsequent processes;
after the detection duration is preset, acquiring the three-dimensional appearance characteristics of the bogie, and generating second appearance parameters according to the three-dimensional appearance characteristics;
and constructing a twin model according to the process parameters and the second morphological parameters.
Specifically, the embodiment provides an implementation mode of judging that the bogie meets the detection requirement in the subsequent steps, and the bogie can also relate to the subsequent processes in the welding and assembling processes, so that the size of the bogie is detected in each process, the accuracy of the integral welding and assembling of the bogie can be ensured, the workload of shape correction is reduced, and the working efficiency is improved.
In some possible embodiments of the present invention, the step of obtaining a subsequent process of the bogie and extracting the preset detection duration and the process parameters according to the subsequent process specifically includes:
determining the subsequent process as a welding process, and acquiring a welding mode, a welding seam position and a welding temperature of the bogie in the welding process;
and generating process parameters according to the welding mode, the welding position and the welding temperature.
Specifically, the embodiment provides an implementation mode for extracting preset detection duration and process parameters according to a subsequent process, and after the subsequent process is determined to be a welding process, the welding mode, the welding seam position and the welding temperature in the welding process are obtained, and the subsequent twinning model three-dimensional morphology parameters are obtained mainly through the second type of nodes, so that the detection of the size of the bogie is realized, the efficiency of the bogie in the welding and assembling processes is improved, and the number of times of shape correction is reduced.
In some possible embodiments of the present invention, the step of obtaining a subsequent process of the bogie and extracting the preset detection duration and the process parameters according to the subsequent process specifically includes:
determining the subsequent process as an assembly process, and acquiring an assembly surface, an assembly process and an assembly deformation of the bogie in the assembly process;
and generating the process parameters according to the assembly surface, the assembly process and the assembly deformation.
Specifically, the embodiment provides another implementation mode for extracting the preset detection duration and the process parameters according to the subsequent process, after the subsequent process is determined as the assembling process, the assembling surface, the assembling process and the assembling deformation amount in the assembling project are obtained, the three-dimensional morphology parameters of the subsequent twin model are obtained mainly through the third type of nodes, the detection on the size of the bogie is further realized, the efficiency of the bogie in the welding and assembling process is improved, and the number of times of shape correction is reduced.
In some embodiments of the present invention, as shown in fig. 2, the present invention provides a detection data processing apparatus for a bogie, including: the device comprises an acquisition module 10, an extraction module 20, a judgment module 30 and a generation module 40;
the acquisition module 10 is used for acquiring three-dimensional shape parameters of the bogie and taking the three-dimensional shape parameters as first shape parameters;
the extraction module 20 is used for constructing a twin model according to the first morphology parameters and extracting preset morphology features corresponding to the bogie;
the judging module 30 is used for determining that the twin model meets the preset morphological characteristics and judging that the bogie meets the detection requirements;
the generating module 40 is configured to determine that the twin model does not satisfy the preset topography, and generate a correction decision for correcting the bogie according to the twin model and the preset topography.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)50, a communication Interface (communication Interface)60, a memory (memory)70 and a communication bus 80, wherein the processor 50, the communication Interface 60 and the memory 70 are communicated with each other via the communication bus 80. The processor 50 may invoke logic instructions in the memory 70 to perform a method of processing the detection data of the bogie, the method comprising:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
It should be noted that, when being implemented specifically, the electronic device in this embodiment may be a server, a PC, or other devices, as long as the structure includes the processor 50, the communication interface 60, the memory 70, and the communication bus 80 shown in fig. 3, where the processor 50, the communication interface 60, and the memory 70 complete mutual communication through the communication bus 80, and the processor 50 may call the logic instructions in the memory 70 to execute the above method. The embodiment does not limit the specific implementation form of the electronic device.
The server may be a single server or a server group. The set of servers can be centralized or distributed (e.g., the servers can be a distributed system). In some embodiments, the server may be local or remote to the terminal. For example, the server may access information stored in the user terminal, a database, or any combination thereof via a network. As another example, the server may be directly connected to at least one of the user terminal and the database to access information and/or data stored therein. In some embodiments, the server may be implemented on a cloud platform; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, the server and the user terminal may be implemented on an electronic device having one or more components in embodiments of the present application.
Further, the network may be used for the exchange of information and/or data. In some embodiments, one or more components (e.g., servers, user terminals, and databases) in an interaction scenario may send information and/or data to other components. In some embodiments, the network may be any type of wired or wireless network, or combination thereof. Merely by way of example, the Network may include a wired Network, a Wireless Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a ZigBee Network, or a Near Field Communication (NFC) Network, among others, or any combination thereof. In some embodiments, the network may include one or more network access points. For example, the network may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the interaction scenario may connect to the network to exchange data and/or information.
Furthermore, the logic instructions in the memory 70 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, an embodiment of the present invention discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute the method provided by the above method embodiments, for example, the method includes:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to, when executed by a processor, perform the detection data processing method for a bogie provided in the foregoing embodiments, for example, the method includes:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
In still another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to execute the detection data processing method of a bogie provided in the foregoing embodiments, and the method includes:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A detection data processing method of a bogie is characterized by comprising the following steps:
acquiring three-dimensional appearance characteristics of a bogie, and generating first appearance parameters according to the three-dimensional appearance characteristics;
constructing a twin model according to the first morphology parameters, and extracting preset morphology features corresponding to the bogie;
determining that the twin model meets the preset morphological characteristics, and judging that the bogie meets the detection requirements;
and determining that the twin model does not meet the preset topography, and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
2. The method according to claim 1, wherein the step of constructing a twin model according to the first profile parameter and extracting a preset profile corresponding to the bogie specifically comprises:
distributing detection nodes to the twin model, and extracting mimicry morphology parameters of the twin model according to the detection nodes;
traversing the preset feature according to the detection node, extracting a preset node corresponding to the detection node, and generating a preset feature parameter according to the preset node;
and judging the twin model and the preset morphology characteristics according to the mimicry morphology parameters and the preset morphology parameters.
3. The method as claimed in claim 2, wherein the step of assigning detection nodes to the twin model and extracting the mimicry morphology parameters of the twin model according to the detection nodes specifically comprises:
acquiring a preset space coordinate, and performing coordinate fitting on the twin model according to the preset space coordinate;
obtaining the feature profile characteristics corresponding to the bogie profile in the twin model after the coordinate fitting, and distributing first type nodes according to the feature profile characteristics;
acquiring the weld appearance characteristics corresponding to the welding position of the bogie in the twin model after the coordinates are fitted, and distributing second type nodes according to the weld appearance characteristics;
acquiring the appearance characteristics of the assembling surface corresponding to the assembling surface of the bogie in the twin model after the coordinate fitting, and distributing a third type of node according to the appearance characteristics of the matching surface;
and generating the detection node according to the first class node, the second class node and the second class node.
4. The method as claimed in claim 2, wherein the step of determining that the twin model does not satisfy the preset topographic feature and generating a correction decision for correcting the bogie according to the twin model and the preset topographic feature specifically includes:
determining a detection area of the twin model which does not meet the preset morphological characteristics;
extracting the detection nodes in the detection area, and determining the correction type of the twin model according to the detection nodes;
and generating the correction decision corresponding to the bogie according to the correction type.
5. The method as claimed in any one of claims 1 to 4, wherein the step of determining that the twin model satisfies the preset topographic feature and determining that the bogie meets the detection requirement specifically includes:
acquiring subsequent processes of the bogie, and extracting preset detection time and process parameters corresponding to the bogie according to the subsequent processes;
after the preset detection duration, acquiring the three-dimensional feature of the bogie, and generating a second feature parameter according to the three-dimensional feature;
and constructing the twin model according to the process parameters and the second morphological parameters.
6. The method for processing the detection data of the bogie according to claim 5, wherein the step of obtaining the subsequent process of the bogie and extracting the preset detection time and the process parameters according to the subsequent process specifically comprises:
determining the subsequent process as a welding process, and acquiring a welding mode, a welding seam position and a welding temperature of the bogie in the welding process;
and generating the process parameters according to the welding mode, the welding position and the welding temperature.
7. The method for processing the detection data of the bogie according to claim 5, wherein the step of obtaining the subsequent process of the bogie and extracting the preset detection time and the process parameters according to the subsequent process specifically comprises:
determining the subsequent process as an assembly process, and acquiring an assembly surface, an assembly process and an assembly deformation of the bogie in the assembly process;
and generating the process parameters according to the assembling surface, the assembling process and the assembling deformation.
8. A detection data processing device of a bogie, characterized by comprising: the device comprises an acquisition module, an extraction module, a judgment module and a generation module;
the acquisition module is used for acquiring three-dimensional shape parameters of the bogie and taking the three-dimensional shape parameters as first shape parameters;
the extraction module is used for constructing a twin model according to the first morphology parameters and extracting preset morphology features corresponding to the bogie;
the judging module is used for determining that the twin model meets the preset morphological characteristics and judging that the bogie meets the detection requirements;
the generating module is used for determining that the twin model does not meet the preset topography and generating a correction decision for correcting the bogie according to the twin model and the preset topography.
9. An electronic device, comprising: a memory and a processor;
the memory and the processor complete mutual communication through a bus;
the memory stores computer instructions executable on the processor;
the processor, when invoking the computer instructions, is capable of performing the method of processing data for the detection of a bogie according to any of the preceding claims 1 to 7.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for processing detection data of a bogie according to any one of the preceding claims 1 to 7.
CN202111058064.3A 2021-09-09 2021-09-09 Detection data processing method, device and equipment for bogie and readable storage medium Pending CN113984416A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111058064.3A CN113984416A (en) 2021-09-09 2021-09-09 Detection data processing method, device and equipment for bogie and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111058064.3A CN113984416A (en) 2021-09-09 2021-09-09 Detection data processing method, device and equipment for bogie and readable storage medium

Publications (1)

Publication Number Publication Date
CN113984416A true CN113984416A (en) 2022-01-28

Family

ID=79735573

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111058064.3A Pending CN113984416A (en) 2021-09-09 2021-09-09 Detection data processing method, device and equipment for bogie and readable storage medium

Country Status (1)

Country Link
CN (1) CN113984416A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115049809A (en) * 2022-04-11 2022-09-13 上海巡智科技有限公司 Data verification method, device and readable storage medium
CN115791221A (en) * 2022-11-28 2023-03-14 华东交通大学 Real-time monitoring method for transverse instability state of bogie based on digital twinning

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109866876A (en) * 2019-04-10 2019-06-11 江苏科技大学 Based on the twin boat segmental construction precision control method of number
US20190266295A1 (en) * 2018-02-28 2019-08-29 Toyota Jidosha Kabushiki Kaisha Proactive vehicle maintenance scheduling based on digital twin simulations
CN111651858A (en) * 2020-04-27 2020-09-11 平安城市建设科技(深圳)有限公司 Digital twin model generation method, device and computer readable storage medium
CN111684160A (en) * 2018-02-05 2020-09-18 施乐百有限公司 Method for optimizing the efficiency and/or the operating performance of a fan or a fan arrangement
CN111964575A (en) * 2020-07-06 2020-11-20 北京卫星制造厂有限公司 Digital twin modeling method for milling of mobile robot
CN112015164A (en) * 2020-08-24 2020-12-01 苏州星越智能科技有限公司 Intelligent networking automobile complex test scene implementation system based on digital twin
CN113221277A (en) * 2021-05-14 2021-08-06 西安交通大学 Bearing performance degradation evaluation method and system based on digital twin model
CN113247041A (en) * 2021-05-12 2021-08-13 上海工程技术大学 Wheel set axle box device state monitoring method based on digital twin model
CN113361113A (en) * 2021-06-09 2021-09-07 南京工程学院 Energy-consumption-adjustable twin data distribution method for high-speed rail bogie

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111684160A (en) * 2018-02-05 2020-09-18 施乐百有限公司 Method for optimizing the efficiency and/or the operating performance of a fan or a fan arrangement
US20190266295A1 (en) * 2018-02-28 2019-08-29 Toyota Jidosha Kabushiki Kaisha Proactive vehicle maintenance scheduling based on digital twin simulations
CN109866876A (en) * 2019-04-10 2019-06-11 江苏科技大学 Based on the twin boat segmental construction precision control method of number
CN111651858A (en) * 2020-04-27 2020-09-11 平安城市建设科技(深圳)有限公司 Digital twin model generation method, device and computer readable storage medium
CN111964575A (en) * 2020-07-06 2020-11-20 北京卫星制造厂有限公司 Digital twin modeling method for milling of mobile robot
CN112015164A (en) * 2020-08-24 2020-12-01 苏州星越智能科技有限公司 Intelligent networking automobile complex test scene implementation system based on digital twin
CN113247041A (en) * 2021-05-12 2021-08-13 上海工程技术大学 Wheel set axle box device state monitoring method based on digital twin model
CN113221277A (en) * 2021-05-14 2021-08-06 西安交通大学 Bearing performance degradation evaluation method and system based on digital twin model
CN113361113A (en) * 2021-06-09 2021-09-07 南京工程学院 Energy-consumption-adjustable twin data distribution method for high-speed rail bogie

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
徐磊: "列车转向架数字孪生建模 仿真关键技术研究", 《铁道科学与工程学报》, 31 May 2023 (2023-05-31) *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115049809A (en) * 2022-04-11 2022-09-13 上海巡智科技有限公司 Data verification method, device and readable storage medium
CN115049809B (en) * 2022-04-11 2023-06-30 上海巡智科技有限公司 Data verification method, device and readable storage medium
CN115791221A (en) * 2022-11-28 2023-03-14 华东交通大学 Real-time monitoring method for transverse instability state of bogie based on digital twinning

Similar Documents

Publication Publication Date Title
KR102229594B1 (en) Display screen quality detection method, device, electronic device and storage medium
EP3836077A2 (en) Product defect detection method and apparatus, electronic device, storage medium and program
CN111274671B (en) Precise repair method for complex product assembly process based on digital twin and operation system thereof
CN113984416A (en) Detection data processing method, device and equipment for bogie and readable storage medium
CN110493025B (en) Fault root cause diagnosis method and device based on multilayer digraphs
CN106027300B (en) A kind of intelligent robot Parameter Optimization System and method using neural network
CN113325816A (en) Industrial Internet-oriented digital twin body data management method
CN115687032B (en) Server operation and maintenance data supervision method and system
CN112163873A (en) Product quality inspection system and method based on edge calculation
CN110196711B (en) Plug-in type work order assistant decision-making method and system based on artificial intelligence
CN114640581A (en) Computational power network processing method and device based on digital twins
CN107451368A (en) Weld fatigue lifetime estimation method based on ANSYS platforms
CN108255707A (en) Development roles creation method, device, equipment and the storage medium of test case
CN111310318A (en) Digital twinning-based process margin processing method and system and mechanical manufacturing assembly
CN107395379A (en) A kind of cluster cruising inspection system and method
Kohn et al. Towards a real-time environment reconstruction for VR-based teleoperation through model segmentation
CN114565548A (en) Industrial defect identification method, system, computing device and storage medium
CN109118097A (en) A kind of reliability and maintanability, r&m Supportability Evaluation method and apparatus
CN113524174B (en) Mechanical arm digital twin model construction method, system, device and storage medium
CN113420465B (en) Hydraulic support life cycle management method based on digital twin model
KR20190023059A (en) Used car grade diagnostic method
CN104376170B (en) Heavy die block welding method for visualizing based on Tekla software platforms
CN115562191B (en) Industrial digital twin-based intelligent presumption analysis method for productivity center
KR20230056006A (en) Apparatus for artificial intelligence based safety diagnosis through 3d model and method thereof
CN111738878A (en) Bridge stress detection system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination