CN117151949A - BIM technology-based channel engineering virtual training method and system - Google Patents
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Abstract
The invention discloses a channel engineering virtual training method and system based on BIM technology. According to the method, project data and knowledge points of channel repair engineering are firstly obtained, then BIM technology is applied to model the project data, a simulation model of the channel repair engineering is created, and meanwhile the knowledge points are embedded into the simulation model to form a channel repair virtual training platform. In the course of student participated in training, according to its learning condition, the system generates initial channel improvement training learning route. Based on analysis of learning operation records and video data, task difficulty and content of an initial learning path are dynamically adjusted, a personalized channel rehabilitation training learning path is generated, and learning condition data is timely fed back to students. The method combines BIM technology and virtual training, and provides an efficient and personalized solution for channel engineering training.
Description
Technical Field
The invention relates to the technical field of three-dimensional simulation teaching, in particular to a channel engineering virtual training method and system based on BIM technology.
Background
Channel engineering plays an important role in the field of water transportation, and ensuring the smoothness and safety of a water channel has important significance for international trade, transportation and traffic. However, conventional channel engineering teaching and training often face challenges such as limitations on practical opportunities, dangers of construction environments, and variability in actual engineering situations. These problems make it difficult for students to understand the complexity and practice of the channel engineering in depth, thereby affecting their learning effect and the level of expertise.
With the rapid development of information technology and virtual reality technology, virtual training based on BIM technology is an effective approach to solve the above problems. By combining BIM technology with education, students can be provided with highly realistic virtual scenes enabling them to simulate various aspects of the channel engineering in a secure environment, thereby enhancing their learning interests, professional cognition and practical operational abilities.
However, in the past, the virtual training method in the field of channel engineering often has technical limitations, and still cannot fully meet complex construction requirements and actual operation situations in the aspects of personalized learning, real-time feedback and cognitive evaluation. Therefore, there is a need for an innovative virtual training system that combines the advantages of BIM technology to accurately simulate various aspects of a channel repair project in a three-dimensional virtual environment, including construction procedures, technical points, safety precautions, and the like. The virtual training system provides a more practical, safe and efficient mode for channel engineering study, is beneficial to culturing more excellent channel engineering professionals, and improves the overall technical level of the water transportation field.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a channel engineering virtual training method and system based on BIM technology.
The first aspect of the invention provides a channel engineering virtual training method based on BIM technology, which comprises the following steps:
acquiring the data of the repairing projects in the channel repairing project and the knowledge points in each repairing project;
modeling the remediation project data based on a BIM technology to obtain a channel remediation engineering simulation model, and importing the knowledge points into the channel remediation engineering simulation model to form a channel remediation virtual training platform;
acquiring the learning condition of students, and generating an initialization channel rehabilitation training learning path according to the learning condition;
based on initializing a channel rehabilitation training learning path, training students, recording learning operation records of the students in a channel rehabilitation virtual training platform in real time, and acquiring video data of the students in a channel virtual training platform learning process in real time;
analyzing based on the learning operation record and the video data, and evaluating the cognitive condition of the student in the learning process to obtain an evaluation result;
based on the evaluation result, the task difficulty and the learning content in the initialized channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time.
In this scheme, acquire the knowledge point in the project of repairing of channel data, every repairing project specifically does:
acquiring construction drawings in historical channel renovation projects of various types, and extracting renovation project data in the channel renovation projects according to the construction drawings, wherein the renovation project data comprises a renovation name, project 3D scanning data and project materials;
determining knowledge points of each remediation project according to the remediation project data;
and classifying and sorting the knowledge points, and adding an explanation example, an explanation video and an associated picture to each knowledge point.
In this scheme, based on BIM technique will the project data of repairing is modelled, obtains the channel repair engineering simulation model, will knowledge point import channel repair engineering simulation model in, forms the virtual training platform of channel repair, specifically does:
digitally scanning and converting construction drawing and treatment project data to obtain three-dimensional modeling data;
modeling is carried out based on BIM technology and three-dimensional modeling data to obtain a channel repair engineering simulation model, wherein the channel repair engineering simulation model comprises geometric shapes, structural members, equipment arrangement and construction flows of a channel;
Performing association operation on the knowledge points of each of the classified and organized items and the channel rehabilitation engineering simulation model, creating a virtual scene of each of the rehabilitation items based on the interactive function of the BIM technology, and adding interactive elements into the virtual scene to form a channel rehabilitation virtual training platform, wherein the interactive elements comprise operable equipment, tools and a control console;
based on the B/S architecture technology, the channel repair virtual training platform is deployed in a server and distributed to the Internet.
In this scheme, acquire student's study condition, according to the study condition generates initialization channel and renovates training study route, specifically does:
acquiring learning conditions of students through pre-study evaluation, wherein the learning conditions comprise learning level, learning speed and learning preference;
determining knowledge points of students to master the dominant part and the weak part according to the learning condition;
based on knowledge points to master the dominant part and the weak part, initializing difficulty level of the knowledge points of each project of channel rehabilitation and learning sequence of the knowledge points, and generating an initialized channel rehabilitation training learning path.
In this scheme, based on the training study route is renovated to the initialization channel, carry out training operation to the student, the real-time recording student is in the virtual training platform's of channel renovation study operation record, acquires the video data of student in the virtual training platform learning process of channel in real time, specifically does:
Training and learning path guiding operation is carried out on students based on the initialized channel repairing and training and learning path;
through periodically carrying out study supervision on students, recording each operation behavior characteristic of the students in the course rehabilitation virtual training platform in real time, and recording the operation sequence, click frequency and study duration of each operation behavior to obtain a periodic study operation record;
based on the image acquisition device of the learning equipment, video data of students in the learning process are acquired in real time.
In this scheme, based on the analysis is carried out to study operation record and video data, aassessment student's cognitive condition in the study process, obtains the evaluation result, specifically is:
acquiring a standard face image, and establishing an expression recognition model based on a convolutional neural network;
carrying out pixel value normalization processing on the standard face image, and marking the facial expression in the standard face image to obtain a training set image;
the training set images are imported into an expression recognition model for training, and the cross entropy loss function is used for optimizing the expression recognition model;
acquiring a frame image of a video based on video data, and marking a face area and expression features in the frame image based on OpenCV to obtain the face image;
The facial images are imported into a trained and optimized expression recognition model, and the facial images are subjected to expression recognition to obtain facial expression data of students at different learning stages in the learning process;
extracting emotion characteristics of facial expression data to obtain emotion characteristic data, wherein the emotion characteristic data comprises happiness, confusion, urgent and depression;
integrating the learning operation record with the emotion feature data, and performing association analysis on the learning operation record and the emotion feature data through cluster analysis to obtain association evaluation data;
and evaluating the cognitive condition of the student in the learning process based on the preset evaluation index and the associated evaluation data to obtain an evaluation result, wherein the evaluation result comprises a learning progress, a knowledge point depth understanding degree, knowledge point difficulty suitability, a learning effect and learning task completion time.
In this scheme, based on the evaluation result, dynamically adjusting the task difficulty and the learning content in the initialization channel repair training learning path, forming a personalized channel repair training learning path, and feeding back learning condition data to the students in real time, specifically:
analyzing based on the evaluation result, and identifying learning result data of the students in different learning stages;
Based on the learning result data, dynamically adjusting task difficulty and learning content in the initialized channel repair training learning path to form a personalized channel repair training learning path;
according to the personalized channel rehabilitation training learning path, learning condition data of students are collected in real time, and visual feedback operation is carried out on the learning condition data in the learning process of the students.
The second aspect of the present invention also provides a channel engineering virtual training system based on the BIM technology, the system comprising: the system comprises a memory and a processor, wherein the memory comprises a channel engineering virtual training method program based on BIM technology, and when the channel engineering virtual training method program based on BIM technology is executed by the processor, the following steps are realized:
acquiring the data of the repairing projects in the channel repairing project and the knowledge points in each repairing project;
modeling the remediation project data based on a BIM technology to obtain a channel remediation engineering simulation model, and importing the knowledge points into the channel remediation engineering simulation model to form a channel remediation virtual training platform;
acquiring the learning condition of students, and generating an initialization channel rehabilitation training learning path according to the learning condition;
Based on initializing a channel rehabilitation training learning path, training students, recording learning operation records of the students in a channel rehabilitation virtual training platform in real time, and acquiring video data of the students in a channel virtual training platform learning process in real time;
analyzing based on the learning operation record and the video data, and evaluating the cognitive condition of the student in the learning process to obtain an evaluation result;
based on the evaluation result, the task difficulty and the learning content in the initialized channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time.
In this scheme, based on BIM technique will the project data of repairing is modelled, obtains the channel repair engineering simulation model, will knowledge point import channel repair engineering simulation model in, forms the virtual training platform of channel repair, specifically does:
digitally scanning and converting construction drawing and treatment project data to obtain three-dimensional modeling data;
modeling is carried out based on BIM technology and three-dimensional modeling data to obtain a channel repair engineering simulation model, wherein the channel repair engineering simulation model comprises geometric shapes, structural members, equipment arrangement and construction flows of a channel;
Performing association operation on the knowledge points of each of the classified and organized items and the channel rehabilitation engineering simulation model, creating a virtual scene of each of the rehabilitation items based on the interactive function of the BIM technology, and adding interactive elements into the virtual scene to form a channel rehabilitation virtual training platform, wherein the interactive elements comprise operable equipment, tools and a control console;
based on the B/S architecture technology, the channel repair virtual training platform is deployed in a server and distributed to the Internet.
In this scheme, based on the analysis is carried out to study operation record and video data, aassessment student's cognitive condition in the study process, obtains the evaluation result, specifically is:
acquiring a standard face image, and establishing an expression recognition model based on a convolutional neural network;
carrying out pixel value normalization processing on the standard face image, and marking the facial expression in the standard face image to obtain a training set image;
the training set images are imported into an expression recognition model for training, and the cross entropy loss function is used for optimizing the expression recognition model;
acquiring a frame image of a video based on video data, and marking a face area and expression features in the frame image based on OpenCV to obtain the face image;
The facial images are imported into a trained and optimized expression recognition model, and the facial images are subjected to expression recognition to obtain facial expression data of students at different learning stages in the learning process;
extracting emotion characteristics of facial expression data to obtain emotion characteristic data, wherein the emotion characteristic data comprises happiness, confusion, urgent and depression;
integrating the learning operation record with the emotion feature data, and performing association analysis on the learning operation record and the emotion feature data through cluster analysis to obtain association evaluation data;
and evaluating the cognitive condition of the student in the learning process based on the preset evaluation index and the associated evaluation data to obtain an evaluation result, wherein the evaluation result comprises a learning progress, a knowledge point depth understanding degree, knowledge point difficulty suitability, a learning effect and learning task completion time.
The invention discloses a channel engineering virtual training method and system based on BIM technology. According to the method, project data and knowledge points of channel repair engineering are firstly obtained, then BIM technology is applied to model the project data, a simulation model of the channel repair engineering is created, and meanwhile the knowledge points are embedded into the simulation model to form a channel repair virtual training platform. In the course of student participated in training, according to its learning condition, the system generates initial channel improvement training learning route. Based on analysis of learning operation records and video data, task difficulty and content of an initial learning path are dynamically adjusted, a personalized channel rehabilitation training learning path is generated, and learning condition data is timely fed back to students. The method combines BIM technology and virtual training, and provides an efficient and personalized solution for channel engineering training.
Drawings
FIG. 1 shows a flow chart of a channel engineering virtual training method based on BIM technology of the application;
FIG. 2 illustrates a flow chart of the present application forming a channel remediation virtual training platform;
FIG. 3 illustrates a flow chart of the present application forming a personalized course remediation training learning path;
FIG. 4 shows a block diagram of a channel engineering virtual training system based on BIM technology of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced in other ways than those described herein, and therefore the scope of the present application is not limited to the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a channel engineering virtual training method based on BIM technology of the application.
As shown in fig. 1, a first aspect of the present application provides a channel engineering virtual training method based on a BIM technology, including:
S102, acquiring the data of the repairing projects in the channel repairing project and the knowledge points in each repairing project;
s104, modeling the repair project data based on BIM technology to obtain a channel repair engineering simulation model, and importing the knowledge points into the channel repair engineering simulation model to form a channel repair virtual training platform;
s106, acquiring learning conditions of students, and generating an initialization channel rehabilitation training learning path according to the learning conditions;
s108, training the students based on initializing the channel rehabilitation training learning path, recording learning operation records of the students in the channel rehabilitation virtual training platform in real time, and acquiring video data of the students in the channel virtual training platform learning process in real time;
s110, analyzing based on the learning operation record and the video data, and evaluating the cognitive condition of the student in the learning process to obtain an evaluation result;
and S112, dynamically adjusting task difficulty and learning content in the initialized channel repair training learning path based on the evaluation result to form a personalized channel repair training learning path, and feeding back learning condition data to students in real time.
The method is characterized in that a channel renovation virtual training platform is established based on BIM technology, so that students can implement project-safe construction processes at a webpage client in a building block building virtual simulation mode, and the students can master technical points of construction procedures in a question-and-answer mode of an interactive interface, so that learning interests, professional cognition and self-confidence of the students are improved; the BIM is a building information model.
According to the embodiment of the invention, the acquiring of the data of the renovation project in the channel renovation project and the knowledge points in each renovation project is specifically as follows:
acquiring construction drawings in historical channel renovation projects of various types, and extracting renovation project data in the channel renovation projects according to the construction drawings, wherein the renovation project data comprises a renovation name, project 3D scanning data and project materials;
determining knowledge points of each remediation project according to the remediation project data;
and classifying and sorting the knowledge points, and adding an explanation example, an explanation video and an associated picture to each knowledge point.
The channel repairing engineering comprises, but is not limited to, stabilizing a channel, deep and shallow beach brushing, increasing the water depth of the channel, widening the width of the channel, increasing the bending radius, reducing the flow velocity of a rapid beach and improving the flow state of the dangerous beach; the renovation project comprises the construction of geotextile soft-layer beach protection, pillow throwing and bottom protection, prefabricated permeable frames, dams and guide dikes, bank protection and dredging engineering; the knowledge points of each renovation project are determined, and classified and sorted, so that the learning convenience of subsequent students is improved; the renovation project data comprises a renovation project name, a project construction flow and a technical specification; the knowledge points comprise engineering principles, construction technical points and safety precautions.
FIG. 2 illustrates a flow chart of the present invention for forming a channel remediation virtual training platform.
According to the embodiment of the invention, the BIM technology is based to model the renovation project data to obtain a channel renovation project simulation model, and the knowledge points are imported into the channel renovation project simulation model to form a channel renovation virtual training platform, which comprises the following specific steps:
s202, digitally scanning and converting construction drawing and renovation project data to obtain three-dimensional modeling data;
s204, modeling is carried out based on BIM technology and three-dimensional modeling data to obtain a channel repair engineering simulation model, wherein the channel repair engineering simulation model comprises geometric shapes, structural members, equipment arrangement and construction flows of a channel;
s206, carrying out association operation on the knowledge points of each of the remediation projects after classification and arrangement and the channel remediation engineering simulation model, creating a virtual scene of each of the remediation projects based on the interactive function of the BIM technology, and adding interactive elements into the virtual scene to form a channel remediation virtual training platform, wherein the interactive elements comprise operable equipment, tools and a console;
s208, deploying the channel improvement virtual training platform in a server based on the B/S architecture technology, and distributing the channel improvement virtual training platform to the Internet.
It should be noted that the three-dimensional modeling data is obtained by converting paper drawing data into data; the method comprises the steps that a learner obtains relevant knowledge in a virtual training platform, knowledge points are required to be associated with a simulation model, the learner can click or select specific elements to check the relevant knowledge points while interacting with the model, and therefore theoretical knowledge is combined with actual situation; the virtual training platform can be deployed on a server and distributed to users through the Internet by using a B/S architecture technology, the B/S architecture enables the users to access the platform through a standard web browser, and students can conveniently access virtual training contents from various places and devices; the channel repairing virtual training platform comprises a user interface, a virtual scene construction function and an interactive question-answering module; in the renovation projects, each renovation project is associated with a site construction video, each renovation project model is provided with a plurality of knowledge points, students can deeply understand the actual operation of the construction process through the site construction video and the knowledge points, and the operation capacity and the skill are improved; the channel engineering virtual training method based on the BIM technology provides an interactive and realistic learning environment for students, combines theoretical knowledge with actual operation, and improves training effect and learning efficiency.
According to the embodiment of the invention, the learning condition of the student is obtained, and an initialization channel rehabilitation training learning path is generated according to the learning condition, specifically:
acquiring learning conditions of students through pre-study evaluation, wherein the learning conditions comprise learning level, learning speed and learning preference;
determining knowledge points of students to master the dominant part and the weak part according to the learning condition;
based on knowledge points to master the dominant part and the weak part, initializing difficulty level of the knowledge points of each project of channel rehabilitation and learning sequence of the knowledge points, and generating an initialized channel rehabilitation training learning path.
The method is characterized in that an initialized channel repair training learning path is generated on a channel repair virtual training platform through preliminary knowledge of the learning condition of students, so that the students can learn knowledge points step by step sequentially through the learning path, and understanding of channel repair engineering knowledge can be built step by step; the pre-school assessment comprises a questionnaire and a simulation test; the initialization channel repair training learning path is a learning sequence of knowledge points suggested in channel repair training learning.
According to the embodiment of the invention, based on initializing the channel rehabilitation training learning path, training operation is carried out on students, the learning operation record of the students in the channel rehabilitation virtual training platform is recorded in real time, and video data of the students in the channel virtual training platform learning process are obtained in real time, specifically:
Training and learning path guiding operation is carried out on students based on the initialized channel repairing and training and learning path;
through periodically carrying out study supervision on students, recording each operation behavior characteristic of the students in the course rehabilitation virtual training platform in real time, and recording the operation sequence, click frequency and study duration of each operation behavior to obtain a periodic study operation record;
based on the image acquisition device of the learning equipment, video data of students in the learning process are acquired in real time.
The operation behavior features include knowledge point access, task point access and video viewing.
According to the embodiment of the invention, the analysis is performed based on the learning operation record and the video data, and the cognitive condition of the student in the learning process is evaluated to obtain an evaluation result, which is specifically as follows:
acquiring a standard face image, and establishing an expression recognition model based on a convolutional neural network;
carrying out pixel value normalization processing on the standard face image, and marking the facial expression in the standard face image to obtain a training set image;
the training set images are imported into an expression recognition model for training, and the cross entropy loss function is used for optimizing the expression recognition model;
Acquiring a frame image of a video based on video data, and marking a face area and expression features in the frame image based on OpenCV to obtain the face image;
the facial images are imported into a trained and optimized expression recognition model, and the facial images are subjected to expression recognition to obtain facial expression data of students at different learning stages in the learning process;
extracting emotion characteristics of facial expression data to obtain emotion characteristic data, wherein the emotion characteristic data comprises happiness, confusion, urgent and depression;
integrating the learning operation record with the emotion feature data, and performing association analysis on the learning operation record and the emotion feature data through cluster analysis to obtain association evaluation data;
and evaluating the cognitive condition of the student in the learning process based on the preset evaluation index and the associated evaluation data to obtain an evaluation result, wherein the evaluation result comprises a learning progress, a knowledge point depth understanding degree, knowledge point difficulty suitability, a learning effect and learning task completion time.
In order to identify the emotion state of the student, firstly, an expression identification model based on a convolutional neural network is created, and the model is optimized by using a large number of marked expression images and a cross entropy loss function so as to accurately predict the expression; performing association analysis on the learning operation record and the emotion feature data by using a cluster analysis method to obtain emotion features of students in different learning stages, so as to help know the relationship between learning states and emotions; based on the analysis of the expression data, the cognitive state of the students in the learning process, such as the understanding degree and the confusion degree, can be estimated; based on the association of learning operation and emotion characteristics, learning behaviors in different emotion states can be analyzed, so that personalized learning suggestions and support are provided; the OpenCV is a computer vision tool that can be used to locate and identify a face region.
FIG. 3 illustrates a flow chart of the present invention for forming a personalized channel repair training learning path.
According to the embodiment of the invention, based on the evaluation result, the task difficulty and the learning content in the initialization channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time, specifically:
s302, analyzing based on the evaluation result, and identifying learning result data of students in different learning stages;
s304, dynamically adjusting task difficulty and learning content in an initialized channel repair training learning path based on the learning result data to form a personalized channel repair training learning path;
s306, collecting learning condition data of students in real time according to the personalized channel rehabilitation training learning path, and performing visual feedback operation on the learning condition data in the student learning process.
The method is characterized in that the task difficulty and the learning content in the initialized channel repair training learning path are subjected to evaluation results to form a personalized channel repair training learning path, so that students can better adapt to individual learning requirements and rhythms, and learning effects and learning experience are improved.
According to an embodiment of the present invention, further comprising:
acquiring video data and a construction flow of a real channel renovation project in real time, and identifying a building structure and construction equipment of the renovation project according to the video data channel to obtain an identification result;
according to the identification result, extracting the characteristics of the building structure in the video data to obtain building characteristic data;
based on the video data and the identification result, the position information and the working state of the construction equipment are updated in real time, and the working information of the construction equipment is obtained;
the construction characteristic data and the construction equipment working information are imported into a channel rehabilitation virtual training platform in real time to simulate engineering in real time, so that simulation data are obtained;
analyzing based on the simulation data and the construction flow, judging whether the current construction state accords with the construction flow or not, and obtaining a judging result;
and according to the judging result, if the current construction state does not accord with the construction flow, sending out a safety early warning, and if the current construction state accords with the construction flow, calculating the engineering progress to form a construction report.
The method is characterized in that the video data of the real channel renovation project is analyzed to obtain the building characteristic data and the construction equipment working information, the building characteristic data and the construction equipment working information are imported into the channel renovation virtual training platform to simulate the project in real time, the construction scene of the real channel renovation project can be restored on the channel renovation virtual training platform, whether the construction state accords with the expected construction flow is judged by analyzing the construction scene, the safety risk caused by the error of the construction flow is avoided, and the construction efficiency of the real construction scene is improved.
FIG. 4 shows a block diagram of a channel engineering virtual training system based on BIM technology of the present invention.
The second aspect of the present invention also provides a channel engineering virtual training system 4 based on the BIM technology, which comprises: the system comprises a memory 41 and a processor 42, wherein the memory comprises a channel engineering virtual training method program based on BIM technology, and when the channel engineering virtual training method program based on BIM technology is executed by the processor, the following steps are realized:
acquiring the data of the repairing projects in the channel repairing project and the knowledge points in each repairing project;
modeling the remediation project data based on a BIM technology to obtain a channel remediation engineering simulation model, and importing the knowledge points into the channel remediation engineering simulation model to form a channel remediation virtual training platform;
acquiring the learning condition of students, and generating an initialization channel rehabilitation training learning path according to the learning condition;
based on initializing a channel rehabilitation training learning path, training students, recording learning operation records of the students in a channel rehabilitation virtual training platform in real time, and acquiring video data of the students in a channel virtual training platform learning process in real time;
Analyzing based on the learning operation record and the video data, and evaluating the cognitive condition of the student in the learning process to obtain an evaluation result;
based on the evaluation result, the task difficulty and the learning content in the initialized channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time.
The method is characterized in that a channel renovation virtual training platform is established based on BIM technology, so that students can implement project-safe construction processes at a webpage client in a building block building virtual simulation mode, and the students can master technical points of construction procedures in a question-and-answer mode of an interactive interface, so that learning interests, professional cognition and self-confidence of the students are improved; the BIM is a building information model.
According to the embodiment of the invention, the acquiring of the data of the renovation project in the channel renovation project and the knowledge points in each renovation project is specifically as follows:
acquiring construction drawings in historical channel renovation projects of various types, and extracting renovation project data in the channel renovation projects according to the construction drawings, wherein the renovation project data comprises a renovation name, project 3D scanning data and project materials;
Determining knowledge points of each remediation project according to the remediation project data;
and classifying and sorting the knowledge points, and adding an explanation example, an explanation video and an associated picture to each knowledge point.
The channel repairing engineering comprises, but is not limited to, stabilizing a channel, deep and shallow beach brushing, increasing the water depth of the channel, widening the width of the channel, increasing the bending radius, reducing the flow velocity of a rapid beach and improving the flow state of the dangerous beach; the renovation project comprises the construction of geotextile soft-layer beach protection, pillow throwing and bottom protection, prefabricated permeable frames, dams and guide dikes, bank protection and dredging engineering; the knowledge points of each renovation project are determined, and classified and sorted, so that the learning convenience of subsequent students is improved; the renovation project data comprises a renovation project name, a project construction flow and a technical specification; the knowledge points comprise engineering principles, construction technical points and safety precautions.
According to the embodiment of the invention, the BIM technology is based to model the renovation project data to obtain a channel renovation project simulation model, and the knowledge points are imported into the channel renovation project simulation model to form a channel renovation virtual training platform, which comprises the following specific steps:
Digitally scanning and converting construction drawing and treatment project data to obtain three-dimensional modeling data;
modeling is carried out based on BIM technology and three-dimensional modeling data to obtain a channel repair engineering simulation model, wherein the channel repair engineering simulation model comprises geometric shapes, structural members, equipment arrangement and construction flows of a channel;
performing association operation on the knowledge points of each of the classified and organized items and the channel rehabilitation engineering simulation model, creating a virtual scene of each of the rehabilitation items based on the interactive function of the BIM technology, and adding interactive elements into the virtual scene to form a channel rehabilitation virtual training platform, wherein the interactive elements comprise operable equipment, tools and a control console;
based on the B/S architecture technology, the channel repair virtual training platform is deployed in a server and distributed to the Internet.
It should be noted that the three-dimensional modeling data is obtained by converting paper drawing data into data; the method comprises the steps that a learner obtains relevant knowledge in a virtual training platform, knowledge points are required to be associated with a simulation model, the learner can click or select specific elements to check the relevant knowledge points while interacting with the model, and therefore theoretical knowledge is combined with actual situation; the virtual training platform can be deployed on a server and distributed to users through the Internet by using a B/S architecture technology, the B/S architecture enables the users to access the platform through a standard web browser, and students can conveniently access virtual training contents from various places and devices; the channel repairing virtual training platform comprises a user interface, a virtual scene construction function and an interactive question-answering module; in the renovation projects, each renovation project is associated with a site construction video, each renovation project model is provided with a plurality of knowledge points, students can deeply understand the actual operation of the construction process through the site construction video and the knowledge points, and the operation capacity and the skill are improved; the channel engineering virtual training method based on the BIM technology provides an interactive and realistic learning environment for students, combines theoretical knowledge with actual operation, and improves training effect and learning efficiency.
According to the embodiment of the invention, the learning condition of the student is obtained, and an initialization channel rehabilitation training learning path is generated according to the learning condition, specifically:
acquiring learning conditions of students through pre-study evaluation, wherein the learning conditions comprise learning level, learning speed and learning preference;
determining knowledge points of students to master the dominant part and the weak part according to the learning condition;
based on knowledge points to master the dominant part and the weak part, initializing difficulty level of the knowledge points of each project of channel rehabilitation and learning sequence of the knowledge points, and generating an initialized channel rehabilitation training learning path.
The method is characterized in that an initialized channel repair training learning path is generated on a channel repair virtual training platform through preliminary knowledge of the learning condition of students, so that the students can learn knowledge points step by step sequentially through the learning path, and understanding of channel repair engineering knowledge can be built step by step; the pre-school assessment comprises a questionnaire and a simulation test; the initialization channel repair training learning path is a learning sequence of knowledge points suggested in channel repair training learning.
According to the embodiment of the invention, based on initializing the channel rehabilitation training learning path, training operation is carried out on students, the learning operation record of the students in the channel rehabilitation virtual training platform is recorded in real time, and video data of the students in the channel virtual training platform learning process are obtained in real time, specifically:
Training and learning path guiding operation is carried out on students based on the initialized channel repairing and training and learning path;
through periodically carrying out study supervision on students, recording each operation behavior characteristic of the students in the course rehabilitation virtual training platform in real time, and recording the operation sequence, click frequency and study duration of each operation behavior to obtain a periodic study operation record;
based on the image acquisition device of the learning equipment, video data of students in the learning process are acquired in real time.
The operation behavior features include knowledge point access, task point access and video viewing.
According to the embodiment of the invention, the analysis is performed based on the learning operation record and the video data, and the cognitive condition of the student in the learning process is evaluated to obtain an evaluation result, which is specifically as follows:
acquiring a standard face image, and establishing an expression recognition model based on a convolutional neural network;
carrying out pixel value normalization processing on the standard face image, and marking the facial expression in the standard face image to obtain a training set image;
the training set images are imported into an expression recognition model for training, and the cross entropy loss function is used for optimizing the expression recognition model;
Acquiring a frame image of a video based on video data, and marking a face area and expression features in the frame image based on OpenCV to obtain the face image;
the facial images are imported into a trained and optimized expression recognition model, and the facial images are subjected to expression recognition to obtain facial expression data of students at different learning stages in the learning process;
extracting emotion characteristics of facial expression data to obtain emotion characteristic data, wherein the emotion characteristic data comprises happiness, confusion, urgent and depression;
integrating the learning operation record with the emotion feature data, and performing association analysis on the learning operation record and the emotion feature data through cluster analysis to obtain association evaluation data;
and evaluating the cognitive condition of the student in the learning process based on the preset evaluation index and the associated evaluation data to obtain an evaluation result, wherein the evaluation result comprises a learning progress, a knowledge point depth understanding degree, knowledge point difficulty suitability, a learning effect and learning task completion time.
In order to identify the emotion state of the student, firstly, an expression identification model based on a convolutional neural network is created, and the model is optimized by using a large number of marked expression images and a cross entropy loss function so as to accurately predict the expression; performing association analysis on the learning operation record and the emotion feature data by using a cluster analysis method to obtain emotion features of students in different learning stages, so as to help know the relationship between learning states and emotions; based on the analysis of the expression data, the cognitive state of the students in the learning process, such as the understanding degree and the confusion degree, can be estimated; based on the association of learning operation and emotion characteristics, learning behaviors in different emotion states can be analyzed, so that personalized learning suggestions and support are provided; the OpenCV is a computer vision tool that can be used to locate and identify a face region.
According to the embodiment of the invention, based on the evaluation result, the task difficulty and the learning content in the initialization channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time, specifically:
analyzing based on the evaluation result, and identifying learning result data of the students in different learning stages;
based on the learning result data, dynamically adjusting task difficulty and learning content in the initialized channel repair training learning path to form a personalized channel repair training learning path;
according to the personalized channel rehabilitation training learning path, learning condition data of students are collected in real time, and visual feedback operation is carried out on the learning condition data in the learning process of the students.
The method is characterized in that the task difficulty and the learning content in the initialized channel repair training learning path are subjected to evaluation results to form a personalized channel repair training learning path, so that students can better adapt to individual learning requirements and rhythms, and learning effects and learning experience are improved.
According to an embodiment of the present invention, further comprising:
acquiring video data and a construction flow of a real channel renovation project in real time, and identifying a building structure and construction equipment of the renovation project according to the video data channel to obtain an identification result;
According to the identification result, extracting the characteristics of the building structure in the video data to obtain building characteristic data;
based on the video data and the identification result, the position information and the working state of the construction equipment are updated in real time, and the working information of the construction equipment is obtained;
the construction characteristic data and the construction equipment working information are imported into a channel rehabilitation virtual training platform in real time to simulate engineering in real time, so that simulation data are obtained;
analyzing based on the simulation data and the construction flow, judging whether the current construction state accords with the construction flow or not, and obtaining a judging result;
and according to the judging result, if the current construction state does not accord with the construction flow, sending out a safety early warning, and if the current construction state accords with the construction flow, calculating the engineering progress to form a construction report.
The method is characterized in that the video data of the real channel renovation project is analyzed to obtain the building characteristic data and the construction equipment working information, the building characteristic data and the construction equipment working information are imported into the channel renovation virtual training platform to simulate the project in real time, the construction scene of the real channel renovation project can be restored on the channel renovation virtual training platform, whether the construction state accords with the expected construction flow is judged by analyzing the construction scene, the safety risk caused by the error of the construction flow is avoided, and the construction efficiency of the real construction scene is improved.
The application discloses a channel engineering virtual training method and system based on BIM technology. According to the method, project data and knowledge points of channel repair engineering are firstly obtained, then BIM technology is applied to model the project data, a simulation model of the channel repair engineering is created, and meanwhile the knowledge points are embedded into the simulation model to form a channel repair virtual training platform. In the course of student participated in training, according to its learning condition, the system generates initial channel improvement training learning route. Based on analysis of learning operation records and video data, task difficulty and content of an initial learning path are dynamically adjusted, a personalized channel rehabilitation training learning path is generated, and learning condition data is timely fed back to students. The method combines BIM technology and virtual training, and provides an efficient and personalized solution for channel engineering training.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within 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 channel engineering virtual training method based on BIM technology is characterized by comprising the following steps:
acquiring the data of the repairing projects in the channel repairing project and the knowledge points in each repairing project;
modeling the remediation project data based on a BIM technology to obtain a channel remediation engineering simulation model, and importing the knowledge points into the channel remediation engineering simulation model to form a channel remediation virtual training platform;
acquiring the learning condition of students, and generating an initialization channel rehabilitation training learning path according to the learning condition;
based on initializing a channel rehabilitation training learning path, training students, recording learning operation records of the students in a channel rehabilitation virtual training platform in real time, and acquiring video data of the students in a channel virtual training platform learning process in real time;
analyzing based on the learning operation record and the video data, and evaluating the cognitive condition of the student in the learning process to obtain an evaluation result;
based on the evaluation result, the task difficulty and the learning content in the initialized channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time.
2. The virtual training method for channel engineering based on the BIM technology according to claim 1, wherein the obtaining of the data of the repair projects in the channel repair projects and the knowledge points in each repair project specifically includes:
acquiring construction drawings in historical channel renovation projects of various types, and extracting renovation project data in the channel renovation projects according to the construction drawings, wherein the renovation project data comprises a renovation name, project 3D scanning data and project materials;
determining knowledge points of each remediation project according to the remediation project data;
and classifying and sorting the knowledge points, and adding an explanation example, an explanation video and an associated picture to each knowledge point.
3. The virtual training method for channel engineering based on the BIM technology according to claim 2, wherein the modeling of the repair project data based on the BIM technology is performed to obtain a simulation model of channel repair project, and the knowledge points are led into the simulation model of channel repair project to form a virtual training platform for channel repair, specifically:
digitally scanning and converting construction drawing and treatment project data to obtain three-dimensional modeling data;
modeling is carried out based on BIM technology and three-dimensional modeling data to obtain a channel repair engineering simulation model, wherein the channel repair engineering simulation model comprises geometric shapes, structural members, equipment arrangement and construction flows of a channel;
Performing association operation on the knowledge points of each of the classified and organized items and the channel rehabilitation engineering simulation model, creating a virtual scene of each of the rehabilitation items based on the interactive function of the BIM technology, and adding interactive elements into the virtual scene to form a channel rehabilitation virtual training platform, wherein the interactive elements comprise operable equipment, tools and a control console;
based on the B/S architecture technology, the channel repair virtual training platform is deployed in a server and distributed to the Internet.
4. The virtual training method for channel engineering based on the BIM technology according to claim 1, wherein the learning condition of the student is obtained, and an initialized channel improvement training learning path is generated according to the learning condition, specifically:
acquiring learning conditions of students through pre-study evaluation, wherein the learning conditions comprise learning level, learning speed and learning preference;
determining knowledge points of students to master the dominant part and the weak part according to the learning condition;
based on knowledge points to master the dominant part and the weak part, initializing difficulty level of the knowledge points of each project of channel rehabilitation and learning sequence of the knowledge points, and generating an initialized channel rehabilitation training learning path.
5. The virtual training method for channel engineering based on the BIM technology according to claim 1, wherein the training operation is performed on students based on an initialized channel rehabilitation training learning path, learning operation records of the students in a channel rehabilitation virtual training platform are recorded in real time, and video data of the students in the channel rehabilitation virtual training platform learning process are obtained in real time, specifically:
training and learning path guiding operation is carried out on students based on the initialized channel repairing and training and learning path;
through periodically carrying out study supervision on students, recording each operation behavior characteristic of the students in the course rehabilitation virtual training platform in real time, and recording the operation sequence, click frequency and study duration of each operation behavior to obtain a periodic study operation record;
based on the image acquisition device of the learning equipment, video data of students in the learning process are acquired in real time.
6. The virtual training method of channel engineering based on the BIM technology according to claim 1, wherein the analysis is performed based on learning operation records and video data, and the cognitive condition of students in the learning process is evaluated to obtain an evaluation result, specifically:
Acquiring a standard face image, and establishing an expression recognition model based on a convolutional neural network;
carrying out pixel value normalization processing on the standard face image, and marking the facial expression in the standard face image to obtain a training set image;
the training set images are imported into an expression recognition model for training, and the cross entropy loss function is used for optimizing the expression recognition model;
acquiring a frame image of a video based on video data, and marking a face area and expression features in the frame image based on OpenCV to obtain the face image;
the facial images are imported into a trained and optimized expression recognition model, and the facial images are subjected to expression recognition to obtain facial expression data of students at different learning stages in the learning process;
extracting emotion characteristics of facial expression data to obtain emotion characteristic data, wherein the emotion characteristic data comprises happiness, confusion, urgent and depression;
integrating the learning operation record with the emotion feature data, and performing association analysis on the learning operation record and the emotion feature data through cluster analysis to obtain association evaluation data;
and evaluating the cognitive condition of the student in the learning process based on the preset evaluation index and the associated evaluation data to obtain an evaluation result, wherein the evaluation result comprises a learning progress, a knowledge point depth understanding degree, knowledge point difficulty suitability, a learning effect and learning task completion time.
7. The virtual training method for channel engineering based on the BIM technology according to claim 6, wherein the task difficulty and the learning content in the initialized channel training learning path are dynamically adjusted based on the evaluation result, so as to form a personalized channel training learning path, and the learning condition data is fed back to the students in real time, specifically:
analyzing based on the evaluation result, and identifying learning result data of the students in different learning stages;
based on the learning result data, dynamically adjusting task difficulty and learning content in the initialized channel repair training learning path to form a personalized channel repair training learning path;
according to the personalized channel rehabilitation training learning path, learning condition data of students are collected in real time, and visual feedback operation is carried out on the learning condition data in the learning process of the students.
8. The channel engineering virtual training system based on the BIM technology is characterized by comprising a storage and a processor, wherein the storage comprises a channel engineering virtual training method program based on the BIM technology, and when the channel engineering virtual training method program based on the BIM technology is executed by the processor, the following steps are realized:
Acquiring the data of the repairing projects in the channel repairing project and the knowledge points in each repairing project;
modeling the remediation project data based on a BIM technology to obtain a channel remediation engineering simulation model, and importing the knowledge points into the channel remediation engineering simulation model to form a channel remediation virtual training platform;
acquiring the learning condition of students, and generating an initialization channel rehabilitation training learning path according to the learning condition;
based on initializing a channel rehabilitation training learning path, training students, recording learning operation records of the students in a channel rehabilitation virtual training platform in real time, and acquiring video data of the students in a channel virtual training platform learning process in real time;
analyzing based on the learning operation record and the video data, and evaluating the cognitive condition of the student in the learning process to obtain an evaluation result;
based on the evaluation result, the task difficulty and the learning content in the initialized channel repair training learning path are dynamically adjusted to form a personalized channel repair training learning path, and learning condition data is fed back to students in real time.
9. The virtual training system for channel engineering based on the BIM technology according to claim 8, wherein the modeling of the repair project data based on the BIM technology is performed to obtain a simulation model of channel repair project, and the knowledge points are led into the simulation model of channel repair project to form a virtual training platform for channel repair, specifically:
Digitally scanning and converting construction drawing and treatment project data to obtain three-dimensional modeling data;
modeling is carried out based on BIM technology and three-dimensional modeling data to obtain a channel repair engineering simulation model, wherein the channel repair engineering simulation model comprises geometric shapes, structural members, equipment arrangement and construction flows of a channel;
performing association operation on the knowledge points of each of the classified and organized items and the channel rehabilitation engineering simulation model, creating a virtual scene of each of the rehabilitation items based on the interactive function of the BIM technology, and adding interactive elements into the virtual scene to form a channel rehabilitation virtual training platform, wherein the interactive elements comprise operable equipment, tools and a control console;
based on the B/S architecture technology, the channel repair virtual training platform is deployed in a server and distributed to the Internet.
10. The virtual training system for channel engineering based on the BIM technology according to claim 8, wherein the analysis is performed based on the learning operation record and the video data, and the cognitive condition of the student in the learning process is evaluated to obtain the evaluation result, specifically:
acquiring a standard face image, and establishing an expression recognition model based on a convolutional neural network;
Carrying out pixel value normalization processing on the standard face image, and marking the facial expression in the standard face image to obtain a training set image;
the training set images are imported into an expression recognition model for training, and the cross entropy loss function is used for optimizing the expression recognition model;
acquiring a frame image of a video based on video data, and marking a face area and expression features in the frame image based on OpenCV to obtain the face image;
the facial images are imported into a trained and optimized expression recognition model, and the facial images are subjected to expression recognition to obtain facial expression data of students at different learning stages in the learning process;
extracting emotion characteristics of facial expression data to obtain emotion characteristic data, wherein the emotion characteristic data comprises happiness, confusion, urgent and depression;
integrating the learning operation record with the emotion feature data, and performing association analysis on the learning operation record and the emotion feature data through cluster analysis to obtain association evaluation data;
and evaluating the cognitive condition of the student in the learning process based on the preset evaluation index and the associated evaluation data to obtain an evaluation result, wherein the evaluation result comprises a learning progress, a knowledge point depth understanding degree, knowledge point difficulty suitability, a learning effect and learning task completion time.
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