CN110246228A - A kind of chemical experiment evaluation system and its method based on virtual reality technology - Google Patents
A kind of chemical experiment evaluation system and its method based on virtual reality technology Download PDFInfo
- Publication number
- CN110246228A CN110246228A CN201910463331.1A CN201910463331A CN110246228A CN 110246228 A CN110246228 A CN 110246228A CN 201910463331 A CN201910463331 A CN 201910463331A CN 110246228 A CN110246228 A CN 110246228A
- Authority
- CN
- China
- Prior art keywords
- experimental
- analysis
- experiment
- text data
- virtual
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/006—Mixed reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Animal Behavior & Ethology (AREA)
- Computational Linguistics (AREA)
- Computer Graphics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of chemical experiment evaluation system and its method based on virtual reality technology, are related to virtual reality technology.This system includes experimental teaching outline text analyzing server (10), virtual reality Analysis server (20), behavior intellectual analysis server (30) and analysis of experimental data server (40);Its connection relationship is: experimental teaching outline text analyzing server (10), virtual reality Analysis server (20) and behavior intellectual analysis server (30) are connect with analysis of experimental data server (40) respectively.This method is: 1. carrying out the text analyzing of experimental teaching outline, virtual reality analysis and behavior intellectual analysis respectively;2. analysis of experimental data.Inventive can be stablized, and distributed deployment, parallel processing multichannel data are easy to;It is versatile, virtual reality device, video capture device suitable for each producer;Portable strong, scalability is flexible;Intelligent Evaluation chemical experiment promotes chemical experiment teaching increased quality.
Description
Technical field
The present invention relates to virtual reality technology more particularly to a kind of chemical experiment evaluation systems based on virtual reality technology
And its method.
Background technique
Virtual reality technology is a kind of computer simulation system that can be created with the experiencing virtual world, it utilizes computer
A kind of simulated environment is generated, is that a kind of Multi-source Information Fusion, interactive Three-Dimensional Dynamic what comes into a driver's and the system of entity behavior are imitative
Really it is immersed to user in the environment.
Chemical experiment teaching is the important component of major colleges and universities' specialty chemical experimental teaching, current most of colleges and universities
It learns experiment and usually requires that teacher's on-the-spot guidance student's hands-on laboratory apparatus and experimental drug, due to teacher's quantity on laboratory
It is limited, it can not point out that every student occurs that operation is lack of standardization, can not meet to every student in an experiment in time in experimental teaching
To the problem of in time answer, can not experiment according to the operating procedure and working specification of chemical experiment teaching outline to every student
Carry out whole evaluation.Change traditional chemistry experiment operating mode and guidance, innovation chemistry using virtual reality technology
Experimental evaluation method has practicability and operability.
Current existing virtual reality technology is mainly applied to chemical experiment teaching: being required according to syllabus using phase
It closes modeling software and designs virtual experimental scene, virtual experimental scene is transplanted in virtual reality device, virtual reality system is passed through
System realizes the interaction of virtual reality device and virtual reality scenario, and common virtual unit mainly has virtual reality glasses, void
The quasi- reality helmet, handle, rocking bar, data glove etc..Virtual reality system will record student and operate system in virtual reality scenario
The whole process of system, and it is translated into data output, the foundation that output data evaluates student's chemical experiment as teacher.
Requirement of experiment in chemical experiment teaching outline is to have clearly to want to the operating procedure and operational motion specification of experiment
It asks, what existing virtual reality system focused on to consider is chemistry experiment operating step, and is advised to the operational motion in chemical experiment
Model and the behavioural norm of experimental middle school's life do not do effective identification and evaluation.Chemical experiment simultaneously is that one kind is starting to practice middle school
The process of habit, student usually need on-the-spot guidance during the experiment and answered in time encountering problems, and is helped with this
Student preferably carries out experiment.
Summary of the invention
It is an object of the invention to overcome shortcoming and defect of the existing technology, provide a kind of based on virtual reality technology
Chemical experiment evaluation system and its method.
The object of the present invention is achieved like this:
Using circumferential edge analytical technology, virtual reality technology, knowledge mapping technology and behavior intelligent identification technology, experiment is taught
It learns experimental procedure and requirement of experiment, virtual experimental data and experiment behavioral data in outline and is converted to relevant text data, and
Experimental procedure and requirement of experiment text data information, virtual experimental text data information and experiment are grasped using data analysis technique
Make Activity recognition text data information semanteme matched, compare and analysis meter calculate chemical experiment score value, can by intelligence skill
The effective objective appraisal chemical experiment process of art promotes chemical experiment teaching increased quality.
One, a kind of chemical experiment evaluation system (abbreviation evaluation system) based on virtual reality technology
This evaluation system includes experimental teaching outline text analyzing server, virtual reality Analysis server, behavior intellectual analysis
Server and analysis of experimental data server;
Its connection relationship is: experimental teaching outline text analyzing server, virtual reality Analysis server and behavior intellectual analysis
Server is connect with analysis of experimental data server respectively.
Two, a kind of chemical experiment evaluation method (abbreviation evaluation method) based on virtual reality technology
This evaluation method includes the following steps:
1. carrying out the text analyzing of experimental teaching outline, virtual reality analysis and behavior intellectual analysis, point 3 tunnels respectively to carry out:
1st tunnel: experimental teaching outline text analyzing
A, experimental teaching outline text data is inputted;
B, experimental procedure and requirement of experiment text data are extracted
Using text semantic extraction and analysis method, experimental procedure and requirement of experiment content text data are extracted;
C, experimental procedure and requirement of experiment text data are generated;
2nd tunnel: virtual reality analysis
A, virtual reality device
Access of virtual real world devices carry out chemical experiment;
B, virtual experimental data are extracted
Student's chemical experiment process data is extracted by virtual reality device;
C, virtual experimental text data is generated;
3rd tunnel: behavior intellectual analysis
I, video capture device
Video data is collected by camera above laboratory bench each in laboratory;
II, student experimenting operation behavior intelligent recognition
Video middle school student's experimental implementation behavior is extracted and identified using behavior intelligent recognition algorithm;
III generates experimental implementation Activity recognition text data;
2. analysis of experimental data:
I, the 1st, 2,3 tunnels are summed up: the analysis of experiment text data and experiment with computing score value
Virtual experimental text data information and experimental implementation Activity recognition text data information are carried out using data analysis technique
Merge, the text data information after merging is matched with experimental procedure and requirement of experiment text data information semanteme, is compared
And analysis, the duplicate text data of phase Sihe is found out, analysis text data is generated, analysis text data is accounted for into experimental procedure and reality
It tests and text data percentage × 100 is required to be used as chemical experiment score value;
II, output experiment score value.
The present invention has following advantages and good effect:
1. performance is stablized, it is easy to distributed deployment, parallel processing multichannel data;
2. versatile, virtual reality device, video capture device suitable for each producer;
3. portable strong, scalability is flexible;
4. intelligent Evaluation chemical experiment promotes chemical experiment teaching increased quality.
Detailed description of the invention
Fig. 1 is the structural block diagram of this evaluation system,
In figure:
10-experimental teaching outline text analyzing servers,
11-the 1 experimental teaching outline text analysis unit,
12-the 2 experimental teaching outline text analysis unit ...
1N-N experimental teaching outline text analysis unit, N are natural number, 1≤N≤100;
20-virtual reality Analysis servers,
21-the 1 virtual reality analytical unit,
22-the 2 virtual reality analytical unit ...
2N-N virtual reality analytical unit, N are natural number, 1≤N≤100;
30-behavior intellectual analysis servers,
31-the 1 behavior intellectual analysis unit,
32-the 2 behavior intellectual analysis unit ...
3N-Nth row is intellectual analysis unit, and N is natural number, 1≤N≤100;
40-analysis of experimental data servers,
41-the 1 analysis of experimental data unit,
42-the 2 analysis of experimental data unit ...
4N-N analysis of experimental data unit, N are natural number, 1≤N≤100.
The step of Fig. 2 is this evaluation method figure;
Fig. 3 is the flow chart of experimental teaching outline text analyzing;
Fig. 4 is the flow chart for establishing virtual scene model;
Fig. 5 is the flow chart for establishing intelligent answer model;
Fig. 6 is the flow chart of simulated reality experiment analysis;
Fig. 7 is the flow chart for establishing standard test operation sample pattern;
Fig. 8 is the flow chart of experimental implementation Activity recognition;
Fig. 9 is the flow chart of experimental data intellectual analysis.
Specific embodiment
It is described in detail with reference to the accompanying drawings and examples:
One, evaluation system
1, overall
Such as Fig. 1, this evaluation system includes experimental teaching outline text analyzing server 10, virtual reality Analysis server 20, row
For intellectual analysis server 30 and analysis of experimental data server 40;
Its connection relationship is: experimental teaching outline text analyzing server 10, virtual reality Analysis server 20 and behavior intelligence
Analysis server 30 is connect with analysis of experimental data server 40 respectively.
2, functional component
1) experimental teaching outline text analyzing server 10
Experimental teaching outline text analyzing server 10 is the entity of chemical experiment teaching outline text data analytic function, physics
A corresponding server in distribution;Experimental teaching outline text analyzing server 10 is by multiple experimental teaching outline text analyzing lists
Member composition, each experimental teaching outline text analysis unit complete independently all the way analyze by chemical experiment teaching outline text data.
Such as Fig. 1, experimental teaching outline text analyzing server 10 includes the 1st, 2 ... N experimental teaching outline text analyzings
Unit 11,12 ... 1N, N are natural number, 1≤N≤100.
Major function are as follows:
1. realizing chemical experiment teaching outline text data import feature;
2. realizing that experimental procedure and requirement of experiment text data are extracted;
3. analysis of experimental data server 40 is linked into, by 40 centralized collection experimental procedure of analysis of experimental data server and experiment
It is required that text data and analyzing it and managing.
2) virtual reality Analysis server 20
Virtual reality Analysis server 20 is the entity of Virtual Chemical Experiment's data collection, analysis and intelligent answer function, physics
A corresponding server in distribution;Virtual reality Analysis server 20 is made of multiple virtual reality analytical units, each virtual
Realistic Analysis unit complete independently Virtual Chemical Experiment's data collection and analysis all the way.
Such as Fig. 1, virtual reality Analysis server 20 includes the 1st, 2 ... N virtual reality analytical units 21,22 ... 2N, N
It is natural number, 1≤N≤100.
Major function are as follows:
1. collection, storage and the biochemical experimental data of analytics;
2. realizing intelligent answer function;
3. analysis of experimental data server 40 is linked into, by 40 centralized collection virtual experimental textual data of analysis of experimental data server
According to and analyze it and manage.
3) behavior intellectual analysis server 30
Behavior intellectual analysis server 30 is the entity of chemistry experiment operating behavior video data acquiring and analytic function, physics point
A corresponding server on cloth;Behavior intellectual analysis server 30 is made of multiple behavior intellectual analysis units, each behavior intelligence
It can the chemistry experiment operating behavioral data analysis all the way of analytical unit complete independently.
Such as Fig. 1, behavior intellectual analysis server 30 includes the 1st, 2 ... N behavior intellectual analysis units 31,32 ... 3N, N
It is natural number, 1≤N≤100.
Major function are as follows:
1. acquisition, storage and Experiment of Analytical Chemistry operation behavior video data;
2. realizing chemistry experiment operating behavior intelligent analysis process;
3. analysis of experimental data server 40 is linked into, by 40 centralized collection Activity recognition textual data of analysis of experimental data server
According to and analyze it and manage.
4) analysis of experimental data server 40
Analysis of experimental data server 40 is the functional entity of analysis of experimental data, a corresponding server in physical distribution;
Analysis of experimental data server 40 is made of multiple analysis of experimental data units, and each analysis of experimental data unit can complete independently
The analysis of experimental procedure and requirement of experiment text data, virtual experimental text data and Activity recognition text data content all the way.
Such as Fig. 1, analysis of experimental data server 40 includes the 1st, 2 ... N analysis of experimental data units 41,42 ... 4N, N
It is natural number, 1≤N≤100.
Major function are as follows:
1. acquisition and storage experimental procedure and requirement of experiment text data, virtual experimental text data and behavior are known
Other text data;
2. realizing analysis of experimental data algorithm;
3. intelligence output chemical experiment score value.
3, working principle
1) experimental teaching outline text analyzing server 10 is connected to analysis of experimental data server 40, experimental teaching outline text
Analysis server 10 is by carrying out keyword extraction and semantic analysis, search to the experimental teaching outline text data content of input
The keywords such as " experimental procedure ", " requirement of experiment " are matched, experimental procedure and requirement of experiment content text data are extracted, generate experiment
Step and requirement of experiment text data are sent to analysis of experimental data server 40;
2) virtual reality Analysis server 20 is connected to analysis of experimental data server 40, and virtual reality Analysis server 20 passes through
Glasses and gloves virtual reality device make student carry out chemical experiment in virtual scene, establish knowledge mapping, realize virtualization
The intelligent answer function in experimentation is learned, and it is virtual real that Virtual Chemical Experiment's data are acquired, stored and analyzed with generation
Text data is tested, and sends analysis of experimental data server 40 for virtual experimental text data;
3) behavior intellectual analysis server 30 is connected to analysis of experimental data server 40,30 pairs of void of behavior intellectual analysis server
The video information of chemistry experiment operating behavior is acquired, stores, and carries out to the Virtual Chemical Experiment's operation behavior in video
Analysis and identification generate Activity recognition text data, and send analysis of experimental data server for Activity recognition text data
40;
4) analysis of experimental data server 40 by virtual experimental text data information and experimental implementation Activity recognition textual data it is believed that
Breath merges, by the text data information and experimental procedure and the progress of requirement of experiment text data information semanteme after merging
Match, compare and analyze, find out the duplicate text data of phase Sihe, generate analysis text data, accounts for reality by analyzing text data
It tests step and requirement of experiment text data percentage calculates chemical experiment score value.
Two, evaluation method
One) total step
Such as Fig. 2, this evaluation method includes the following steps:
1. carrying out the text analyzing of experimental teaching outline, virtual reality analysis and behavior intellectual analysis, point 3 tunnels respectively to carry out:
1st tunnel: experimental teaching outline text analyzing -210
A, experimental teaching outline text data -211 is inputted;
B, experimental procedure and requirement of experiment text data -212 are extracted
Using text semantic extraction and analysis method, experimental procedure and requirement of experiment content text data are extracted;
C, experimental procedure and requirement of experiment text data -213 are generated;
2nd tunnel: virtual reality analysis -220
A, virtual reality device -221
Access of virtual real world devices carry out chemical experiment;
B, virtual experimental data extract -222
Student's chemical experiment process data is extracted by virtual reality device;
C, virtual experimental text data -223 is generated;
3rd tunnel: behavior intellectual analysis -230
I, video capture device -231
Video data is collected by camera above laboratory bench each in laboratory;
II, student experimenting operation behavior intelligent recognition -232
Video middle school student's experimental implementation behavior is extracted and identified using behavior intelligent recognition algorithm;
III generates experimental implementation Activity recognition text data -233;
2. analysis of experimental data -240:
I, the 1st, 2,3 tunnels are summed up: the analysis of experiment text data and experiment with computing score value -241
Virtual experimental text data information and experimental implementation Activity recognition text data information are carried out using data analysis technique
Merge, the text data information after merging is matched with experimental procedure and requirement of experiment text data information semanteme, is compared
And analysis, the duplicate text data of phase Sihe is found out, analysis text data is generated, analysis text data is accounted for into experimental procedure and reality
It tests and text data percentage × 100 is required to be used as chemical experiment score value;
II, output experiment score value -242.
Two) step by step
1, the 1st tunnel: experimental teaching outline text analyzing
This method mainly searches for matching experimental procedure, requirement of experiment keyword, and applies TextRank(text sort algorithm)
Algorithm extracts the particular content of experimental procedure, requirement of experiment in experimental teaching outline, ultimately generates experimental procedure and requirement of experiment
Text data.
Process such as Fig. 3, experimental teaching outline text analyzing is as follows:
A, experimental teaching outline text data -301 is inputted;
B, search matching experimental procedure, requirement of experiment keyword -302
Using string searching matching algorithm, experimental procedure and requirement of experiment vocabulary are searched, positions vocabulary in experimental teaching outline
Position in text;
C, TextRank algorithm extracts experimental procedure and requirement of experiment content text -303;
D, experimental procedure and requirement of experiment text data -304 are generated.
2, the 2nd tunnel: virtual reality analysis
Virtual reality analysis includes establishing virtual scene model, establishing intelligent answer model and simulated reality experiment analysis.
1) virtual scene model is established
Chemical experiment scene, experimental facilities and experimental drug material are collected, using CAD(Computer Aided
Design) graphics software designs the 2 d plane picture of chemical experiment virtual scene, renders and makes using 3D MAX three-dimensional animation
Software design chemical experiment virtual scene threedimensional model, establishes chemical experiment virtual scene threedimensional model.
Such as Fig. 4, the process for establishing virtual scene model is as follows:
A, chemical experiment scene material -401 is collected;
B, CAD design experiment scene plan view -402;
C, 3D MAX contrived experiment scene threedimensional model -403;
D, virtual experimental scene threedimensional model -404 is established.
2) intelligent answer model is established
Chemical basic knowledge and chemical experiment knowledge are inputted, establishes knowledge by constructing triple (entity, relationship, entity) mode
After map entity relationship, entity and entity relationship are established, knowledge data is screened, is used using neo4j graphic data base
In the storage and displaying of knowledge mapping, it is established that intelligent answer model.
Such as Fig. 5, the process for establishing intelligent answer model is as follows:
A, chemical basic knowledge and chemical experiment knowledge -501 are inputted;
B, knowledge entity relationship -502 is established
Knowledge mapping entity relationship is established by constructing triple (entity, relationship, entity) mode;
C, knowledge mapping storage -503
Knowledge mapping is stored and shown using neo4j graphic data base;
D, intelligent answer model -504 is established.
3) simulated reality experiment is analyzed
Virtual reality device is docked with Virtual Reality Platform, virtual scene model, intelligent answer model transplantations are showed to virtual
In real platform, virtual scene model, intelligent answer model are merged with Virtual Reality Platform and information exchange unit, intelligent answer
Unit during the experiment, can answer the enquirement of student, and student is assisted to test.Acquire student's virtual experimental mistake
Number of passes evidence generates virtual experimental text data.
Process such as Fig. 6, simulated reality experiment analysis is as follows:
A, virtual reality device -601
Virtual Reality Platform access of virtual real world devices;
B, Virtual Reality Platform module fusion -602
By virtual scene model, intelligent answer model transplantations into Virtual Reality Platform, by virtual scene model, intelligent answer mould
Type is merged with Virtual Reality Platform and information exchange unit;
C, virtual experimental data -603 are extracted;
D, virtual experimental text data -604 is generated.
3, the 3rd tunnel: behavior intellectual analysis
Behavior intellectual analysis includes establishing standard test operation sample pattern and experimental implementation Activity recognition.
1) standard test operation sample pattern is established
Input standard test and operate video, using IDT(Improved Dense Trajectories) feature extraction algorithm, it mentions
The standard operation for taking experimental implementation in video, using SVM(support vector machines) classifier is to the standard operation sample of experimental implementation
It is trained and generates experimental implementation behavior sample model.
Such as Fig. 7, the process for establishing standard test operation sample pattern is as follows:
A, input standard test operates video -701;
B, IDT feature extraction -702
Using IDT(Improved Dense Trajectories) feature extraction algorithm, extracts the standard of experimental implementation in video
Motion characteristic;
C, SVM classifier -703
Using SVM(support vector machines) classifier is trained the standard operation feature samples of experimental implementation;
D, experimental implementation behavior sample model -704 is established;
2) experimental implementation Activity recognition
Input experiment video data, using IDT(Improved Dense Trajectories) feature extraction algorithm, to video
Middle experimental implementation behavior carries out feature extraction, using SVM(support vector machines) classifier carries out experimental implementation behavior in video
Classification and Identification generates experimental implementation Activity recognition text data.
Process such as Fig. 8, experimental implementation Activity recognition is as follows:
A, input experiment video data -801;
B, IDT feature extraction -802
Using IDT(Improved Dense Trajectories) feature extraction algorithm, experimental implementation behavior in video is carried out
Feature extraction;
C, SVM classifier identification -803
Using SVM(support vector machines) classifier in video experimental implementation behavior carry out Classification and Identification;
D, experimental implementation Activity recognition text data -804 is generated.
4, analysis of experimental data
Virtual experimental text data and experimental implementation Activity recognition text data are merged, by after merging text data with
Experimental procedure and requirement of experiment text data use LDA(Latent Dirichlet allocation) model algorithm semanteme into
Row matching, comparison and analysis, find out the duplicate text data of phase Sihe, generate analysis text data, and analysis text data is accounted for
Experimental procedure and requirement of experiment text data percentage × 100 are used as chemical experiment score value.
Process such as Fig. 9, analysis of experimental data is as follows:
A, experimental procedure and requirement of experiment, virtual experimental, experimental implementation Activity recognition text data -901 are inputted;
B, LDA algorithm comparative analysis text data -902
Virtual experimental text data and experimental implementation Activity recognition text data merge, by the text data and reality after merging
Step and requirement of experiment text data is tested to carry out using LDA(Latent Dirichlet allocation) model algorithm semanteme
Matching, comparison and analysis, find out the duplicate text data of phase Sihe, generate analysis text data;
C, experiment with computing score value -903
Analysis text data is accounted for into experimental procedure and requirement of experiment text data percentage × 100 are used as chemical experiment score value;
D, output experiment score value -904.
Claims (6)
1. a kind of chemical experiment evaluation system based on virtual reality technology, it is characterised in that:
Including experimental teaching outline text analyzing server (10), virtual reality Analysis server (20), behavior intellectual analysis clothes
Business device (30) and analysis of experimental data server (40);
Its connection relationship is:
Experimental teaching outline text analyzing server (10), virtual reality Analysis server (20) and behavior intellectual analysis server
(30) it is connect respectively with analysis of experimental data server (40).
2. the chemical experiment evaluation method based on system described in claim 1, it is characterised in that include the following steps:
1. carrying out the text analyzing of experimental teaching outline, virtual reality analysis and behavior intellectual analysis, point 3 tunnels respectively to carry out:
1st tunnel: experimental teaching outline text analyzing (210)
A, experimental teaching outline text data (211) are inputted;
B, experimental procedure and requirement of experiment text data (212) are extracted
Using text semantic extraction and analysis method, experimental procedure and requirement of experiment content text data are extracted;
C, experimental procedure and requirement of experiment text data (213) are generated;
2nd tunnel: virtual reality analyzes (220)
A, virtual reality device (221)
Access of virtual real world devices carry out chemical experiment;
B, virtual experimental data extract (222)
Student's chemical experiment process data is extracted by virtual reality device;
C, virtual experimental text data (223) are generated;
3rd tunnel: behavior intellectual analysis (230)
I, video capture device (231)
Video data is collected by camera above laboratory bench each in laboratory;
II, student experimenting operation behavior intelligent recognition (232)
Video middle school student's experimental implementation behavior is extracted and identified using behavior intelligent recognition algorithm;
III generates experimental implementation Activity recognition text data (233);
2. analysis of experimental data (240)
I, the 1st, 2,3 tunnels are summed up: the analysis of experiment text data and experiment with computing score value (241)
Virtual experimental text data information and experimental implementation Activity recognition text data information are carried out using data analysis technique
Merge, the text data information after merging is matched with experimental procedure and requirement of experiment text data information semanteme, is compared
And analysis, the duplicate text data of phase Sihe is found out, analysis text data is generated, analysis text data is accounted for into experimental procedure and reality
It tests and text data percentage × 100 is required to be used as chemical experiment score value;
II, output experiment score value (242).
3. chemical experiment evaluation method as described in claim 2, it is characterised in that:
The process of the 1st tunnel experimental teaching outline text analyzing is as follows:
A, experimental teaching outline text data (301) are inputted;
B, search matching experimental procedure, requirement of experiment keyword (302)
Using string searching matching algorithm, experimental procedure and requirement of experiment vocabulary are searched, positions vocabulary in experimental teaching outline
Position in text;
C, TextRank algorithm extracts experimental procedure and requirement of experiment content text (303);
D, experimental procedure and requirement of experiment text data (304) are generated.
4. chemical experiment evaluation method as described in claim 2, it is characterised in that:
The 2nd tunnel virtual reality analysis includes establishing virtual scene model, establishing intelligent answer model and virtual reality reality
Test analysis:
1) process for establishing virtual scene model is as follows:
A, chemical experiment scene material (401) are collected;
B, CAD design experiment scene plan view (402);
C, 3D MAX contrived experiment scene threedimensional model (403);
D, virtual experimental scene threedimensional model (404) is established;
2) process for establishing intelligent answer model is as follows:
A, chemical basic knowledge and chemical experiment knowledge (501) are inputted;
B, knowledge entity relationship (502) are established
Knowledge mapping entity relationship is established by constructing triple mode;
The triple includes entity, relationship and entity;
C, knowledge mapping storage (503)
Knowledge mapping is stored and shown using neo4j graphic data base;
D, intelligent answer model (504) are established;
3) process of simulated reality experiment analysis is as follows:
A, virtual reality device (601)
Virtual Reality Platform access of virtual real world devices;
B, Virtual Reality Platform module fusion (602)
By virtual scene model, intelligent answer model transplantations into Virtual Reality Platform, by virtual scene model, intelligent answer mould
Type is merged with Virtual Reality Platform and information exchange unit;
C, virtual experimental data (603) are extracted;
D, virtual experimental text data (604) are generated.
5. chemical experiment evaluation method as described in claim 2, it is characterised in that:
The 3rd tunnel behavior intellectual analysis includes establishing standard test operation sample pattern and experimental implementation Activity recognition;
1) process for establishing standard test operation sample pattern is as follows:
A, input standard test operation video (701);
B, IDT feature extraction (702)
Using IDT feature extraction algorithm, the standard operation feature of experimental implementation in video is extracted;
C, SVM classifier (703)
It is trained using standard operation feature samples of the SVM classifier to experimental implementation;
D, experimental implementation behavior sample model (704) is established;
2) process of experimental implementation Activity recognition is as follows:
A, input experiment video data (801);
B, IDT feature extraction (802)
Using IDT feature extraction algorithm, feature extraction is carried out to experimental implementation behavior in video;
C, SVM classifier identification (803)
Classification and Identification is carried out to experimental implementation behavior in video using SVM classifier;
D, experimental implementation Activity recognition text data (804) are generated.
6. chemical experiment evaluation method as described in claim 2, it is characterised in that:
The process of the analysis of experimental data is as follows:
A, experimental procedure and requirement of experiment, virtual experimental, experimental implementation Activity recognition text data (901) are inputted;
B, LDA algorithm comparative analysis text data (902)
Virtual experimental text data and experimental implementation Activity recognition text data merge, by the text data and reality after merging
It tests step and requirement of experiment text data to be matched, compared and analyzed using LDA model algorithm semanteme, finds out the repetition of phase Sihe
Text data, generate analysis text data;
C, experiment with computing score value (903)
Analysis text data is accounted for into experimental procedure and requirement of experiment text data percentage × 100 are used as chemical experiment score value;
D, output experiment score value (904).
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910463331.1A CN110246228B (en) | 2019-05-30 | 2019-05-30 | Chemical experiment evaluation system and method based on virtual reality technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910463331.1A CN110246228B (en) | 2019-05-30 | 2019-05-30 | Chemical experiment evaluation system and method based on virtual reality technology |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110246228A true CN110246228A (en) | 2019-09-17 |
CN110246228B CN110246228B (en) | 2023-03-24 |
Family
ID=67885503
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910463331.1A Active CN110246228B (en) | 2019-05-30 | 2019-05-30 | Chemical experiment evaluation system and method based on virtual reality technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110246228B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111125400A (en) * | 2019-12-27 | 2020-05-08 | 中山大学 | Scene graph spectrum optimization method based on relation constraint under virtual reality and augmented reality scenes |
CN111369852A (en) * | 2020-03-03 | 2020-07-03 | 山东女子学院 | Gene editing experiment teaching simulation method and system based on virtual reality |
CN112182900A (en) * | 2020-10-10 | 2021-01-05 | 浙江中路智能装备有限公司 | Reliability virtual experiment teaching system and method |
CN113989608A (en) * | 2021-12-01 | 2022-01-28 | 西安电子科技大学 | Student experiment classroom behavior identification method based on top vision |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU1326201A (en) * | 1999-07-23 | 2001-02-13 | Libra Digital, Llc | Electronic recording, analysis, editing, and playback of scents |
US20050049797A1 (en) * | 2003-08-27 | 2005-03-03 | Srinka Ghosh | Method and system for displacement-vector-based detection of zone misalignment in microarray data |
CN102508991A (en) * | 2011-09-30 | 2012-06-20 | 北京航空航天大学 | Method of constructing virtual experiment teaching scene based on image material |
CN105719211A (en) * | 2016-03-11 | 2016-06-29 | 深圳市同立方科技有限公司 | Teaching training evaluation method and system based on virtual reality |
CN106599418A (en) * | 2016-12-01 | 2017-04-26 | 北京金恒博远冶金技术发展有限公司 | Rolling forward-slip measurement virtual experiment method and system |
CN108804654A (en) * | 2018-06-07 | 2018-11-13 | 重庆邮电大学 | A kind of collaborative virtual learning environment construction method based on intelligent answer |
CN108831238A (en) * | 2018-08-07 | 2018-11-16 | 苏州承儒信息科技有限公司 | A kind of educational system control method based on virtual experimental |
CN109710931A (en) * | 2018-12-21 | 2019-05-03 | 中南民族大学 | A kind of class teaching content evaluation system and its method based on Intellectual Analysis Technology |
-
2019
- 2019-05-30 CN CN201910463331.1A patent/CN110246228B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU1326201A (en) * | 1999-07-23 | 2001-02-13 | Libra Digital, Llc | Electronic recording, analysis, editing, and playback of scents |
US20050049797A1 (en) * | 2003-08-27 | 2005-03-03 | Srinka Ghosh | Method and system for displacement-vector-based detection of zone misalignment in microarray data |
CN102508991A (en) * | 2011-09-30 | 2012-06-20 | 北京航空航天大学 | Method of constructing virtual experiment teaching scene based on image material |
CN105719211A (en) * | 2016-03-11 | 2016-06-29 | 深圳市同立方科技有限公司 | Teaching training evaluation method and system based on virtual reality |
CN106599418A (en) * | 2016-12-01 | 2017-04-26 | 北京金恒博远冶金技术发展有限公司 | Rolling forward-slip measurement virtual experiment method and system |
CN108804654A (en) * | 2018-06-07 | 2018-11-13 | 重庆邮电大学 | A kind of collaborative virtual learning environment construction method based on intelligent answer |
CN108831238A (en) * | 2018-08-07 | 2018-11-16 | 苏州承儒信息科技有限公司 | A kind of educational system control method based on virtual experimental |
CN109710931A (en) * | 2018-12-21 | 2019-05-03 | 中南民族大学 | A kind of class teaching content evaluation system and its method based on Intellectual Analysis Technology |
Non-Patent Citations (1)
Title |
---|
王艳华等: "基于虚拟现实技术的实验教学CNKI论文分析", 《基础医学教育》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111125400A (en) * | 2019-12-27 | 2020-05-08 | 中山大学 | Scene graph spectrum optimization method based on relation constraint under virtual reality and augmented reality scenes |
CN111125400B (en) * | 2019-12-27 | 2022-03-15 | 中山大学 | Scene graph spectrum optimization method based on relation constraint under virtual reality and augmented reality scenes |
CN111369852A (en) * | 2020-03-03 | 2020-07-03 | 山东女子学院 | Gene editing experiment teaching simulation method and system based on virtual reality |
CN112182900A (en) * | 2020-10-10 | 2021-01-05 | 浙江中路智能装备有限公司 | Reliability virtual experiment teaching system and method |
CN112182900B (en) * | 2020-10-10 | 2023-12-29 | 浙江中路智能装备有限公司 | Reliability virtual experiment teaching system and method |
CN113989608A (en) * | 2021-12-01 | 2022-01-28 | 西安电子科技大学 | Student experiment classroom behavior identification method based on top vision |
Also Published As
Publication number | Publication date |
---|---|
CN110246228B (en) | 2023-03-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110246228A (en) | A kind of chemical experiment evaluation system and its method based on virtual reality technology | |
Modi et al. | Facial emotion recognition using convolution neural network | |
CN108229478A (en) | Image, semantic segmentation and training method and device, electronic equipment, storage medium and program | |
CN107423398A (en) | Exchange method, device, storage medium and computer equipment | |
CN109815955A (en) | Topic householder method and system | |
Ochoa et al. | Multimodal learning analytics-Rationale, process, examples, and direction | |
CN109710931A (en) | A kind of class teaching content evaluation system and its method based on Intellectual Analysis Technology | |
Xie et al. | Virtual reality primary school mathematics teaching system based on GIS data fusion | |
Golshani et al. | A multimedia information repository for cross cultural dance studies | |
Tang et al. | A web-based Chinese handwriting education system with automatic feedback and analysis | |
Shujrah et al. | Measurement of e-learners’ level of interest in online course using support vector machine | |
Hernández Correa et al. | An application of machine learning and image processing to automatically detect teachers’ gestures | |
Abdulhamied et al. | Real-time recognition of American sign language using long-short term memory neural network and hand detection | |
Tulha et al. | Leda: A learning analytics based framework to analyze remote labs interaction | |
Fukuda et al. | Detection of Student Teacher's Intention using Multimodal Features in a Virtual Classroom. | |
Singh et al. | Concepts of data mining and process mining | |
Toth | Online learning behavior and web usage mining | |
Jumat et al. | Augmented Reality Application for Solar System Learning | |
CN114926044A (en) | Auxiliary teaching method, device and storage medium | |
Wang | Virtual display of intelligent human-computer interaction products based on attention matrix | |
Samuel et al. | AI Enabled Maneuver Identification via the Maneuver Identification Challenge | |
Tseng et al. | Integration of mixed reality in teaching and learning effectiveness: A systematic literature review of the analyses | |
WO2023166747A1 (en) | Training data generation device, training data generation method, and program | |
Kuromiya et al. | Detecting Teachers’ in-Classroom Interactions Using a Deep Learning Based Action Recognition Model | |
Kashinath et al. | Implementation of Efficient Online English Learning System and Student Performance Prediction Using Linear K-Nearest Neighbors (L-Knn) Method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |