CN115880103A - Visual management method, device, equipment and medium for railway engineering progress - Google Patents
Visual management method, device, equipment and medium for railway engineering progress Download PDFInfo
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Abstract
The invention provides a visual management method, a visual management device, visual management equipment and a visual management medium for railway engineering progress, which relate to the technical field of railway engineering management and comprise the following steps: acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules; building a BIM (building information modeling) model according to the engineering modeling task, and endowing codes to each part in the BIM model according to engineering structure disassembly and coding standard rules; processing codes in the BIM model based on a preset lightweight BIM engine, and reversely generating an engineering structure decomposition tree; generating a railway structure in a preset GIS system according to the BIM and the engineering structure decomposition tree; and acquiring construction progress data in real time, marking the planned time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of components in the railway structure. The invention can more intuitively know the progress condition of the engineering by using the BIM model and the engineering structure decomposition tree to generate the railway structure graph.
Description
Technical Field
The invention relates to the technical field of railway engineering management, in particular to a visual management method, device, equipment and medium for railway engineering progress.
Background
Railway engineering schedule management is one of the key factors of a railway construction project, and directly influences the quality, cost and schedule of the project. Traditional progress management can only be presented in a report form or through a single BIM model, and a comprehensive, intuitive and real-time presentation mode for data is lacked.
The traditional method is difficult to meet the management requirements of complex railway engineering, and the construction progress data cannot be effectively counted and analyzed, so that the management efficiency is poor. There is a need for a visual management method for railway engineering progress based on BIM and GIS that solves the above problems by publishing to a GIS system using a BIM model and matching the engineering structure breakdown tree with GIS data.
Disclosure of Invention
The invention aims to provide a visual management method, a visual management device, visual management equipment and visual management media for railway engineering progress, so as to solve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the application provides a visual management method for railway engineering progress, which includes:
acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules;
building a BIM (building information modeling) model according to the engineering modeling task, and endowing codes to each part in the BIM model according to the engineering structure disassembling and coding standard rule;
processing the codes in the BIM model based on a preset lightweight BIM engine, and reversely generating an engineering structure decomposition tree which accords with quality acceptance;
generating a railway structure in a preset GIS system according to the BIM and the engineering structure decomposition tree;
and acquiring construction progress data in real time, marking the plan time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of components in the railway structure.
In a second aspect, the present application further provides a visual management device for railway engineering progress, including:
the acquisition module is used for acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules;
the coding module is used for establishing a BIM (building information modeling) model according to the engineering modeling task and endowing codes to each part in the BIM model according to the engineering structure disassembling and coding standard rule;
the processing module is used for processing the codes in the BIM based on a preset lightweight BIM engine and reversely generating an engineering structure decomposition tree which accords with quality acceptance;
the construction module is used for generating a railway structure in a preset GIS system according to the BIM and the engineering structure decomposition tree;
and the marking module is used for acquiring the construction progress data in real time, marking the planned time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of components in the railway structure.
In a third aspect, the present application further provides a visual management device for railway engineering progress, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the visual management method of the railway engineering progress when the computer program is executed.
In a fourth aspect, the present application further provides a medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the visual management method based on railway engineering progress are implemented.
The invention has the beneficial effects that:
the invention generates the railway structure graph by using the BIM and the engineering structure decomposition tree, so that the progress condition of the engineering can be known more intuitively; by acquiring the construction progress data in real time and marking the colors of the components, the progress condition of the project can be evaluated more objectively.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a visual management method for railway engineering progress according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a visual management device for railway engineering progress according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a visual management device for railway engineering progress according to an embodiment of the present invention.
The labels in the figure are: 1. an acquisition module; 2. an encoding module; 21. a first extraction unit; 211. a second processing unit; 212. a third processing unit; 213. a second extraction unit; 214. a fourth processing unit; 22. a first processing unit; 23. a first recognition unit; 24. a first matching unit; 3. a processing module; 31. a fifth processing unit; 32. a sixth processing unit; 33. a second recognition unit; 34. a first calculation unit; 4. building a module; 41. a seventh processing unit; 42. a second matching unit; 43. an eighth processing unit; 5. a marking module; 51. a ninth processing unit; 52. a second calculation unit; 53. a first classification unit; 54. a tenth processing unit; 800. visual management equipment for railway engineering progress; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
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. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides a visual management method for railway engineering progress.
Referring to fig. 1, it is shown that the method includes step S100, step S200, step S300, step S400 and step S500.
Step S100: and acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules.
It will be appreciated that in this step, the project modeling task of the railway project is obtained, and the construction elements and the project structure of the project are determined. The engineering structure disassembling and coding standard rule refers to a set of engineering structure disassembling and coding standards, which are called disassembling and coding standards for short, established for professional engineering of roadbeds, bridges, tunnels, tracks, stations, electric power, communication, signals, traction power transformation and the like in railway project construction.
Step S200: and establishing a BIM (building information modeling) model according to the engineering modeling task, and endowing codes to each part in the BIM model according to engineering structure disassembly and coding standard rules.
It will be appreciated that in this step, a BIM model is built based on the engineering modeling tasks that have been acquired. The BIM model, i.e., a building information model, is a three-dimensional digital model of a building object, and includes geometric information, physical characteristics, functional performance, and the like of a building. In the BIM model, each part is coded according to engineering structure disassembly and coding standard rules, namely, each part is identified and numbered according to disassembly and coding standards so as to facilitate subsequent management and maintenance. It should be noted that step S200 includes step S210, step S220, step S230, and step S240.
Step S210: and extracting the features of the components under all the visual angles based on a preset convolutional neural network, and identifying and classifying the components in the BIM according to the extracted feature information.
It is understood that, in this step, images of the component at various viewing angles are acquired according to the established BIM model, and then feature extraction is performed on the images by using a preset convolutional neural network. The result of the feature extraction is a set of values representing the geometric features of the component in the image. And identifying and classifying the components in the BIM according to the feature extraction result. The convolutional neural network is used for improving the identification precision and the accuracy of identification and classification of the components. It should be noted that step S210 includes step S211, step S212, step S213, and step S214.
Step S211: and carrying out re-projection on the preset standard component model to generate a multi-view image, wherein the multi-view image comprises the geometric characteristics and the posture information of the component.
It is understood that, in this step, the preset standard component model is a set of models for identifying and classifying the engineering component, and they may re-project the standard component model according to different viewing angles, thereby generating a multi-view image. The multi-view image includes geometric features and pose information of the component, which are important information required to identify and classify the component. By extracting the characteristic information of the members in the multi-view images, the engineering members can be more accurately identified, so that the classification accuracy is improved.
Step S212: and carrying out grid structure processing on the multi-view image and converting to obtain a grid sequence.
It will be appreciated that the three-dimensional shape of the structure is modeled using a mesh structure on the multi-view image, the geometry of the structure is divided into several small figures, and each figure is assigned a number. Firstly, discretizing the geometric characteristics of the multi-view image, establishing a quadrilateral grid, and numbering each grid unit to form a grid sequence. The grid structure processing decomposes the geometric shapes into a plurality of independent graphs, so that the processing difficulty can be effectively reduced; the grid numbering provides a method for quickly positioning grid units, which is beneficial to further processing grid sequences subsequently.
Step S213: and based on the convolutional neural network, extracting the characteristics of the grid sequence, and training a preset neural network model through the extracted characteristic information to obtain a component recognition mathematical model.
It is understood that, in this step, feature information of the component is extracted from the mesh sequence by a feature extraction algorithm based on a convolutional neural network, and the feature information is digital codes used for describing key features such as the posture, the geometric shape and the like of the component. By using machine learning techniques, the components can be automatically identified, thereby avoiding errors that may occur during manual identification.
Step S214: and identifying and classifying the components in the BIM according to the component identification mathematical model.
It is understood that in this step, after the component recognition mathematical model is trained, it is applied to the BIM model to recognize and classify the components therein. The component identification mathematical model obtained through training is more accurate than manual identification.
Step S220: and extracting the combination relation among all the members according to the engineering structure disassembly and coding standard rule, mapping the combination relation into a connection relation graph, wherein each node in the connection relation graph corresponds to one member, and connecting lines in the connection relation graph correspond to the combination relation among the members.
Preferably, in this step, the engineering text is analyzed by using a natural language processing algorithm, which specifically includes: reading text information from design files, construction plans, technical specifications and other files related to railway engineering; performing word segmentation on the text by using a word segmentation algorithm, decomposing each word in the text, and performing part-of-speech tagging on a word segmentation result; using a named entity recognition algorithm, recognizing noun entities in the text, such as component names, railway facilities and the like; extracting a combination relation between members, such as a fixed relation between a steel beam and a support and the like, from the text according to engineering structure disassembly and coding standard rules; extracting a combination relation between members, such as a fixed relation between a steel beam and a bracket and the like, from the text according to the engineering structure disassembling and coding standard rule; and generating a combination relation graph according to the extracted combination relation, wherein nodes in the graph represent the components, and connecting lines represent the combination relation among the components.
Step S230: and traversing the connection relation graph by using a depth-first search algorithm to identify the part.
It can be understood that, starting from any node in the graph, any neighbor node of the current node is selected, and recursive traversal is performed from the neighbor node; and when all the neighbor nodes of the neighbor node are traversed, returning to the previous node, continuously traversing other neighbor nodes of the previous node, and identifying the components consisting of the communication blocks where the traversed nodes are located after traversing the complete graph. In the step, each part can be identified by traversing the connection relation graph by using a depth-first search algorithm, so that managers can better understand the whole engineering structure, and subsequent maintenance and management are facilitated.
Step S240: and comparing the characteristics of each part with the engineering structure disassembling and coding standard rule, and endowing the part with codes according to the coding rules in the engineering structure disassembling and coding standard rule.
It will be appreciated that in this step, the identified features of the component are compared to the relevant rules in the engineering structure disassembly and encoding criteria rules to determine the type and nature of the component. And then, according to the coding rule in the engineering structure disassembling and coding standard rule, allocating a unique code for each part to identify the position and the attribute of the part in the whole engineering. The step automatically endows each component with codes, so that all the components have uniform coding rules, and subsequent management, statistics and query are facilitated.
Step S300: and processing the codes in the BIM based on a preset light BIM engine, and reversely generating an engineering structure decomposition tree which accords with quality acceptance.
It can be understood that, in this step, lightweight BIM engine analyzes the BIM model, reads the coding information inside, stores its data structurization to the database, decomposes the tree through the engineering structure that generates, and the structure in the understanding BIM model that can be clear is disassembled the condition, convenient control and management. It should be noted that step S300 includes step S310, step S320, step S330, and step S340.
Step S310: reading the coded data in the BIM model by interacting with the BIM database, wherein the coded data comprises attributes and accessory parameters of the model.
It is understood that in this step, the encoded data in the BIM model, i.e. the attributes and the attached parameters of the model, are read by interacting with the database, and these data include the structure information, the size information, the material information, etc. of the model.
Step S320: the encoded data is parsed and converted into a unified data structure.
It can be understood that, in this step, the encoded data read from the BIM model is analyzed and parsed in detail, and converted into a unified data structure to facilitate the subsequent processing.
Step S330: and analyzing the structured data by using a K nearest neighbor algorithm, and identifying key elements for generating the engineering structure decomposition tree.
It can be understood that, in this step, the K-nearest neighbor algorithm is used to identify key elements in the railway engineering model and provide a basis for generating the engineering structure decomposition tree. Key elements refer to those information about the key impact on generating an engineering structure decomposition tree. In railway engineering, key elements include structural information of tracks, bridges, tunnels, etc. and relationships between them.
Step S340: and generating the engineering structure decomposition tree by using a topological sorting algorithm according to the key elements.
It can be understood that, in this step, the process of generating the engineering structure decomposition tree by the topology sorting algorithm is to establish a graph model of the structure information of the key elements and the relationship between them, add each node in the graph into the queue with an entry degree of 0, take out the nodes from the queue in turn, subtract 1 from the entry degree of the adjacent nodes, add the nodes into the queue if the entry degree is 0, and finally, when all the nodes are sorted, the sorting result is the engineering structure decomposition tree. The engineering structure decomposition tree is generated through a topological sorting algorithm, so that the construction sequence of each component can be ensured, and the engineering efficiency is improved.
Step S400: and generating the railway structure in a preset GIS system according to the BIM and the engineering structure decomposition tree.
It can be understood that, in this step, in the pre-established BIM model, the information of the railway structure is uniformly managed and displayed through the GIS system according to the generated engineering structure decomposition tree. The GIS system can be used for carrying out spatial analysis and visualization on the information of the railway structure, and is helpful for better understanding and evaluating the overall situation of the project. It should be noted that step S400 includes step S410, step S420, and step S430.
Step S410: and converting the data format of the BIM model.
It can be understood that, in this step, the BIM model is converted into the intermediate format data conforming to the SuperMap iServer GIS platform, so that the data can be shared or exchanged in different software or systems.
Step S420: and comparing the engineering structure decomposition tree with the BIM after format conversion based on a matching algorithm, and determining the position relation of the BIM in the GIS system.
Preferably, in the matching process of the engineering structure decomposition tree and the BIM model, a structure matching algorithm can be used. The specific implementation process comprises the following steps: establishing data models of the engineering structure decomposition tree and the BIM model, and determining respective attribute information of the engineering structure decomposition tree and the BIM model; carrying out feature extraction on the engineering structure decomposition tree and the BIM model, and converting the engineering structure decomposition tree and the BIM model into a group of feature vectors; comparing the engineering structure decomposition tree with the characteristic vector of the BIM by using a structure matching algorithm to determine the matching relationship between the engineering structure decomposition tree and the BIM; and generating the position relation of the railway structure in the GIS system by using the obtained matching relation.
Step S430: and generating the railway structure by the BIM in the GIS according to the engineering structure decomposition tree and the position relation.
It is understood that, in this step, the structural information of the railway structure, including the relationship, position, scale, etc. of each part, is analyzed using the engineering structure decomposition tree; and then constructing a three-dimensional model of the railway structure in the GIS system according to the analyzed information, and mapping the three-dimensional model to the corresponding geographic position.
Step S500: and acquiring construction progress data in real time, marking the planned time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of components in the railway structure.
It can be understood that in a railway construction project, the construction progress is monitored in real time, and the construction progress is dynamically displayed in the GIS system. The manager can know the construction situation at any time and adjust the management strategy in time. It should be noted that step S500 includes step S510, step S520, step S530, and step S540.
Step S510: and corresponding the construction progress data to the planning time of the engineering structure decomposition tree.
It can be understood that the real-time progress data acquired in the construction is correspondingly associated with the planned time of the engineering structure decomposition tree which is already established. By establishing such a correlation, each part in the BIM model will have a planned start time and a planned completion time, and when the construction progress data reports that the part has been completed, the system can generate corresponding status information by comparing the completion time with the planned time.
Step S520: and determining the actual completion condition of each part according to the construction progress data and a time sequence analysis algorithm.
It will be appreciated that in this step, the construction progress data is processed using a time series analysis algorithm and compared with the planned completion time of the site. The time series analysis algorithm determines the actual completion of each site based on trends in the time series, as well as other factors (e.g., weather conditions, material-to-stock conditions, etc.). Accurate and reliable data can be generated using a time series analysis algorithm, thereby enabling analysts to better assess project progress and determine whether remedial action needs to be taken. In addition, necessary decision support may also be provided for project teams.
Step S530: and classifying the actual completion condition, assigning different colors to each class, and determining the color of the part.
It can be understood that in the step, the actual completion condition of the whole construction project can be conveniently and quickly mastered through the display of different colors.
Step S540: and mapping the color corresponding to each part to a GIS map to show the construction progress.
It can be understood that, in this step, the determined color corresponding to each part is mapped onto a map by a GIS (geographic information system) technology, and the construction progress is shown in a form of a graph. The construction progress information is directly displayed on the map in the step, so that the efficiency of inquiring and analyzing the construction progress data can be improved.
Example 2:
as shown in fig. 2, the present embodiment provides a visual management device for railway engineering progress, the device includes:
and the acquisition module 1 is used for acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules.
And the coding module 2 is used for establishing a BIM (building information modeling) model according to the engineering modeling task and endowing codes to each part in the BIM model according to the engineering structure disassembling and coding standard rule.
And the processing module 3 is used for processing the codes in the BIM based on a preset lightweight BIM engine and reversely generating the engineering structure decomposition tree which accords with quality acceptance.
And the construction module 4 is used for generating the railway structure in the preset GIS system according to the BIM and the engineering structure decomposition tree.
And the marking module 5 is used for acquiring the construction progress data in real time, marking the planned time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of the components in the railway structure.
In a specific embodiment of the present disclosure, the encoding module 2 includes:
the first extraction unit 21 is configured to perform feature extraction on the components under each viewing angle based on a preset convolutional neural network, and identify and classify the components in the BIM model according to the extracted feature information.
The first processing unit 22 is configured to extract combination relationships between all the components according to the engineering structure disassembly and coding standard rule, and map the combination relationships into a connection relationship diagram, where each node in the connection relationship diagram corresponds to one component, and a connection line in the connection relationship diagram corresponds to the combination relationship between the components.
The first recognition unit 23 uses a depth-first search algorithm to traverse the connection relation graph to recognize the component.
The first matching unit 24 is configured to compare the characteristics of each component with the engineering structure disassembly and encoding standard rule, and assign a code to the component according to the encoding rule in the engineering structure disassembly and encoding standard rule.
In one embodiment of the present disclosure, the first extraction unit 21 includes:
and a second processing unit 211, configured to re-project the preset standard component model to generate a multi-view image, where the multi-view image includes geometric features and pose information of the component.
And a third processing unit 212, configured to perform mesh structure processing on the multi-view image and convert the multi-view image into a mesh sequence.
And a second extraction unit 213, which extracts features of the grid sequence based on the convolutional neural network, and trains a preset neural network model through the extracted feature information to obtain a component recognition mathematical model.
And a fourth processing unit 214, configured to identify and classify the components in the BIM model according to the component identification mathematical model.
In one embodiment of the present disclosure, the processing module 3 includes:
and the fifth processing unit 31 reads the coded data in the BIM model through interaction with the BIM database, wherein the coded data comprises the attributes and the auxiliary parameters of the model.
And a sixth processing unit 32, configured to parse the encoded data and convert the encoded data into a unified data structure.
The second identifying unit 33 analyzes the structured data by using the K-nearest neighbor algorithm, and identifies key elements for generating the engineering structure decomposition tree.
And the first computing unit 34 is used for generating the engineering structure decomposition tree by using a topological sorting algorithm according to the key elements.
In a specific embodiment of the present disclosure, the building block 4 includes:
and a seventh processing unit 41, configured to perform data format conversion on the BIM model.
And the second matching unit 42 compares the engineering structure decomposition tree with the converted BIM based on a matching algorithm to determine the position relationship of the BIM in the GIS system.
And an eighth processing unit 43, configured to generate the railway structure from the BIM model in the GIS system according to the engineering structure decomposition tree and the position relationship.
In one embodiment of the present disclosure, the marking module 5 includes:
and a ninth processing unit 51 for corresponding the construction progress data to the planned time of the engineering structure decomposition tree.
And the second calculating unit 52 is used for determining the actual completion condition of each part according to the construction progress data and the time series analysis algorithm.
A first classification unit 53, configured to classify the actual completion, assign a different color to each class, and determine the color of the part.
And the tenth processing unit 54 is configured to map the color corresponding to each part onto the GIS map to show the construction progress.
It should be noted that, regarding the apparatus in the above embodiments, the specific manner in which each module and unit performs operations has been described in detail in the embodiments related to the method, and will not be elaborated herein.
Example 3:
corresponding to the above method embodiment, the present embodiment further provides a visual management device for railway engineering progress, and the visual management device for railway engineering progress described below and the visual management method for railway engineering progress described above may be referred to in a corresponding manner.
Fig. 3 is a block diagram illustrating a railway project progress visualization management apparatus 800 in accordance with an exemplary embodiment. As shown in fig. 3, the visual management apparatus 800 for railway engineering progress may include: a processor 801, a memory 802. The railway project progress visualization management apparatus 800 may further include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the visual railway engineering progress management apparatus 800, so as to complete all or part of the steps in the visual railway engineering progress management method. The memory 802 is used to store various types of data to support the operation of the railway project progress visualization management device 800, which may include, for example, instructions for any application or method operating on the railway project progress visualization management device 800, as well as application related data, such as contact data, messages sent or received, pictures, audio, video, and the like. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, and the like. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the railway engineering progress visual management device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the visual management Device 800 for railway engineering progress may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for performing the visual management method for railway engineering progress.
In another exemplary embodiment, a computer medium comprising program instructions is also provided, which when executed by a processor, implement the steps of the visual management method of railway engineering progress described above. For example, the computer medium may be the above-mentioned memory 802 comprising program instructions executable by the processor 801 of the railway project progress visualization management apparatus 800 to perform the above-mentioned railway project progress visualization management method.
Example 4:
corresponding to the above method embodiment, a medium is also provided in this embodiment, and a medium described below and a railway engineering progress visualization management method described above may be referred to correspondingly.
A medium having stored thereon a computer program for implementing the steps of the visual management method of railway work progress of the above-described method embodiments when executed by a processor.
The medium may be a usb 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.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A visual management method for railway engineering progress is characterized by comprising the following steps:
acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules;
building a BIM (building information modeling) model according to the engineering modeling task, and endowing codes to each part in the BIM model according to the engineering structure disassembling and coding standard rule;
processing the codes in the BIM model based on a preset lightweight BIM engine, and reversely generating an engineering structure decomposition tree which accords with quality acceptance;
generating a railway structure in a preset GIS system according to the BIM and the engineering structure decomposition tree;
and acquiring construction progress data in real time, marking the planned time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of components in the railway structure.
2. The visual railway engineering progress management method according to claim 1, wherein the step of assigning codes to each part in the BIM according to the engineering structure dismantling and coding standard rules comprises the steps of:
extracting the features of the components under each view angle based on a preset convolutional neural network, and identifying and classifying the components in the BIM according to the extracted feature information;
extracting the combination relationship among all the components according to the engineering structure disassembly and coding standard rule, and mapping the combination relationship into a connection relationship diagram, wherein each node in the connection relationship diagram corresponds to one component, and a connecting line in the connection relationship diagram corresponds to the combination relationship among the components;
traversing the connection relation graph by using a depth-first search algorithm to identify a component;
and comparing the characteristics of each part with the engineering structure disassembling and coding standard rule, and endowing the part with codes according to the coding rules in the engineering structure disassembling and coding standard rule.
3. The visual management method for the railway engineering progress according to claim 2, wherein the steps of extracting features of the components under each view angle based on a preset convolutional neural network, and identifying and classifying the components in the BIM according to the extracted feature information comprise:
carrying out re-projection on a preset standard component model to generate a multi-view image, wherein the multi-view image comprises the geometric characteristics and the posture information of a component;
carrying out grid structure processing on the multi-view image and converting to obtain a grid sequence;
based on a convolutional neural network, extracting the characteristics of the grid sequence, and training a preset neural network model through the extracted characteristic information to obtain a component recognition mathematical model;
and identifying and classifying the components in the BIM according to the component identification mathematical model.
4. The visual management method for railway engineering progress as claimed in claim 1, wherein the processing of the encoded data in the BIM model based on a preset light weight BIM engine to reversely generate an engineering structure decomposition tree conforming to quality acceptance comprises:
reading coded data in the BIM model through interaction with a BIM database, wherein the coded data comprises attributes and accessory parameters of the model;
analyzing the coded data and converting the coded data into a unified data structure;
analyzing the structured data by using a K nearest neighbor algorithm, and identifying key elements for generating an engineering structure decomposition tree;
and generating an engineering structure decomposition tree by using a topological sorting algorithm according to the key elements.
5. A visual management device of railway engineering progress, characterized by comprising:
the acquisition module is used for acquiring engineering modeling tasks and engineering structure disassembling and encoding standard rules;
the coding module is used for establishing a BIM (building information modeling) model according to the engineering modeling task and endowing codes to each part in the BIM model according to the engineering structure disassembling and coding standard rule;
the processing module is used for processing the codes in the BIM based on a preset lightweight BIM engine and reversely generating an engineering structure decomposition tree which accords with quality acceptance;
the building module is used for generating a railway structure in a preset GIS system according to the BIM and the engineering structure decomposition tree;
and the marking module is used for acquiring construction progress data in real time, marking the planned time of the engineering structure decomposition tree according to the construction progress data, and adjusting the colors of components in the railway structure.
6. The visual management device of railway engineering progress as claimed in claim 5, characterized in that the coding module comprises:
the first extraction unit is used for extracting the features of the components under all the visual angles based on a preset convolutional neural network and identifying and classifying the components in the BIM according to the extracted feature information;
the first processing unit is used for extracting combination relations among all the members according to the engineering structure disassembly and coding standard rule, and mapping the combination relations into a connection relation graph, wherein each node in the connection relation graph corresponds to one member, and connecting lines in the connection relation graph correspond to the combination relations among the members;
the first identification unit is used for traversing the connection relation graph by using a depth-first search algorithm to identify a component;
the first matching unit is used for comparing the characteristics of each part with the engineering structure disassembling and coding standard rule and endowing the part with codes according to the coding rule in the engineering structure disassembling and coding standard rule.
7. The visual management device of railway engineering progress according to claim 6, characterized in that the first extraction unit comprises:
the second processing unit is used for carrying out re-projection on a preset standard component model to generate a multi-view image, and the multi-view image comprises the geometric characteristics and the posture information of the component;
the third processing unit is used for carrying out grid structure processing on the multi-view image and converting the multi-view image into a grid sequence;
the second extraction unit is used for extracting the characteristics of the grid sequence based on the convolutional neural network and training a preset neural network model through the extracted characteristic information to obtain a component recognition mathematical model;
and the fourth processing unit is used for identifying and classifying the components in the BIM according to the component identification mathematical model.
8. The visual management device of railway engineering progress as claimed in claim 5, wherein the processing module comprises:
the fifth processing unit is used for reading the coded data in the BIM model through interaction with a BIM database, wherein the coded data comprises attributes and accessory parameters of the model;
the sixth processing unit is used for analyzing the coded data and converting the coded data into a unified data structure;
the second identification unit analyzes the structured data by using a K nearest neighbor algorithm and identifies key elements for generating the engineering structure decomposition tree;
and the first computing unit is used for generating the engineering structure decomposition tree by using a topological sorting algorithm according to the key elements.
9. A visual management equipment of railway engineering progress, characterized by comprising:
a memory for storing a computer program;
processor for implementing the steps of the visual management method of railway work progress according to any one of claims 1 to 4 when executing said computer program.
10. A medium, characterized by: the medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the visual management method of railway engineering progress as claimed in any one of claims 1 to 4.
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