CN109658781A - A kind of virtual reality small coke oven coking tests teaching method - Google Patents

A kind of virtual reality small coke oven coking tests teaching method Download PDF

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Publication number
CN109658781A
CN109658781A CN201910131067.1A CN201910131067A CN109658781A CN 109658781 A CN109658781 A CN 109658781A CN 201910131067 A CN201910131067 A CN 201910131067A CN 109658781 A CN109658781 A CN 109658781A
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coal
coke oven
user
small coke
coking tests
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欧阳曙光
刘兆越
刘佳成
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Wuhan University of Science and Engineering WUSE
Wuhan University of Science and Technology WHUST
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Wuhan University of Science and Engineering WUSE
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Coke Industry (AREA)

Abstract

The present invention relates to a kind of virtual reality small coke oven coking tests teaching methods, comprising the following steps: Step 1: creation small coke oven coking tests virtual environment;Step 2: determining Coal Blending Schemes according to the requirement of coke quality;Step 3: the operation data of user is uploaded to server-side, server is achieved the result according to the operation of client;Step 4: user's operation data storage can be checked Historical Results in client in database, user and administrator.The present invention can satisfy the requirement of experiment small coke oven coking tests teaching and training, while supplement the content of courses of small coke oven coking tests very well.

Description

A kind of virtual reality small coke oven coking tests teaching method
Technical field
The present invention relates to a kind of virtual reality small coke oven coking tests teaching methods.
Background technique
Coke is the indispensable raw material of blast furnace steel-making, and coke quality directly affects blast furnace ironmaking each economic target, small Coking by coke oven experiment has a very important significance optimization coke quality.But small coke oven equipment is expensive, process of coking needs 1000 DEG C or more are heated to, there is certain risk, and energy consumption is high, it is harmful also to generate sulfur-bearing and organic matter etc. in experimentation The coal gas of substance has pollution.The undergraduate that these conditions limit coking profession carries out small coke oven coking tests, therefore builds A vertical high interactivity, high-immersion, high perceptibility, professional virtual small coke oven coking tests room are very necessary.
Summary of the invention
It, can be with technical problem to be solved by the invention is to provide a kind of virtual reality small coke oven coking tests teaching method Student is set to complete experimental teaching in virtual small coke oven coking tests environment, while teacher can check student's performance and obtain Point.
The technical scheme to solve the above technical problems is that a kind of virtual reality small coke oven coking tests teaching side Family operation experiments in computer virtual laboratory environment can be used in method, this method, it may have evaluation system is to user feedback.This Method is based on Unity3D engine, and the engine function is powerful, and professional platform independence is good, and has very strong expansion.
The present invention is mainly real by the following technical programs: a kind of virtual reality small coke oven coking tests teaching method, packet Include following steps:
Step 1: creation small coke oven coking tests virtual environment;
Step 2: determining Coal Blending Schemes according to the requirement of coke quality;
Step 3: the operation data of user is uploaded to server-side, server is achieved the result according to the operation of client;
Step 4: user's operation data storage can be checked Historical Results in client in database, user and administrator.
The beneficial effects of the present invention are: small coke oven coking tests have situations such as high cost, high pollution, high-risk.The skill Art scheme can provide reliable, safe and economic small coke oven coking tests teaching, understand that user intuitively in virtual environment The structure of equipment, while can also complete entirely to test on computers, learn the process and points for attention of small coke oven coking tests.
Based on the above technical solution, the present invention can also be improved as follows.
Further, the step 1 specifically includes:
Three-dimensional modeling is carried out according to the size of small coke oven coking tests room and the structure of experimental facilities and size;
Threedimensional model is opened up into UV, material plan view is made by Photoshop plane software, is overlying on threedimensional model, makes three-dimensional Model shows true texture and material in virtual environment;
Threedimensional model and textures resource are imported into Unity3D, texturing is assigned to threedimensional model, obtains small coke oven coking tests Environment.
Be using above-mentioned further beneficial effect, due to the structure snd size of threedimensional model be according to practical laboratory and Equipment equal proportion scaling, while textures are made according to the texture and material of practical laboratory and equipment surface, make small coke oven coking Virtual experimental room environmental is similar with real scene, provides the user with the strong Platform of Experimental Teaching of reproducibility height, the property immersed.
It further, include laboratory room, laboratory table, window, laboratory points for attention picture frame in the laboratory.Institute The experimental facilities stated includes jaw crusher, balance, sieve, scoop, small coke oven, temperature controller, computer.Threedimensional model exports format For .fbx.
Further, be by the unfolded surface of threedimensional model in the described threedimensional model exhibition UV it is two-dimensional surface, passes through True texture rendering in two-dimensional surface, is obtained textures by Photoshop plane software.It is .png that textures, which export format,.
Further, it is to assign the material with textures to threedimensional model in the virtual environment, projects two-dimentional textures To threedimensional model surface, small coke oven coking tests environment is obtained.
It is that Unity3D can be that the threedimensional model of .fbx is compatible with export format using above-mentioned further beneficial effect, It can guarantee that threedimensional model shows correct coordinate position in Unity3D.Textures format is that .png can store the saturating of picture The resource of lightness information, occupancy is few, and it is smooth to be conducive to system operation.
Further, the step 2 specifically includes:
Coal-blending coking task is assigned, user inputs coal blend ratio;
Prediction of coke quality is carried out according to the Coal Blending Schemes of user's input, if the task that the coke quality of prediction meets coke is wanted It asks, then enters in next step, if the requirements are not met, then user's Coal Blending Schemes again is needed, until prediction coke quality is met the requirements.
It is using above-mentioned further beneficial effect, since the quality of coke is related with many factors, wherein with mixed coal Index related maximum, coal blending can learn the matter of coke by coal blending process user as one of coking tests preparatory process Relationship between figureofmerit and mixed coal index.It can also examine whether user grasps the related knowledge of coal blending simultaneously.
Further, the coking task refers to coke quality index are as follows: crushing strength>80%, wear-resistant strength<8%, reactivity Index<26%, post reaction strength are>60%, sulphur content<0.6%, ash content<13% coke.User selects coal first, then basis Coking task inputs the ratio of each coal.
Further, the coal has 4 kinds, respectively 3 kinds of coking coal, 3 kinds of 1/3 coking coal, 3 kinds of rich coal, 3 kinds of lean coal, altogether 12 coal samples are selective.The quality index of coal are as follows: ash content, volatile matter, index of cementation, final contraction value, thickness of colloidal matter layer, Sulphur content, coal maximum reflectance of vitrinite, standard deviation.When user inputs coal ratio, selection coal is first had to, each coal can only Select a coal sample.
Further, the Coke Quality Prediction Models are the coal ratio inputted according to user, the wherein prediction of ash content Model equation is as follows:
(1)
Wherein,For coke ash,To cooperate ash content of coal;
The prediction model equation of sulphur content is as follows:
(2)
Wherein,For sulfur content in coke,For mixed coal sulphur content;
Coke crushing strength prediction model equation is as follows:
(3)
Wherein,For coke crushing strength,To cooperate ash content of coal,For mixed coal volatile matter,For mixed coal bonding Index;
Coke wear-resistant strength prediction model equation is as follows:
(4)
Wherein,For coke wear-resistant strength,To cooperate ash content of coal,For mixed coal volatile matter,For mixed coal bonding Index;
Coke reactivity prediction model equation is as follows:
(5)
Wherein,For coke reactivity,For mixed coal volatile matter,For mixed coal caking index;
Post reaction strength of coke prediction model equation is as follows:
(6)
Wherein,For post reaction strength of coke,To cooperate ash content of coal,For mixed coal volatile matter,It is viscous for mixed coal Tie index.
Coke quality is predicted according to the data of user's input and Coke Quality Prediction Models, and the data inputted first need full The sum of ratio of each coal selected enough is 100%, and then needing all to meet 6 indexs of coke quality just can enter in next step.
It is that coal blending needs to meet 4 aspects, 1, level-one coke index using above-mentioned further beneficial effect;2, cooperate The indication range of coal;3 production technology situations;4 mixed coal costs.User can be allowed to further understand coke matter by the above process Relationship between figureofmerit and mixed coal index.
Further, the step 3 specifically includes:
User carries out coking tests in virtual small coke oven coking tests room;
According to user's operation step, score to user.
Be using above-mentioned further beneficial effect, through the above steps, user virtual small coke oven coking tests room into Row experimental implementation can simulate true coking tests, since the equipment in virtual environment is according to physical device size equal proportion Scaling, user see experimental facilities and operation whole process, available good experimental teaching in virtual environment.It adopts simultaneously With User Evaluation System, user feedback can be given in time, reaches better experiment teaching effect.
Further, the carry out coking tests refer to real according to small coke oven coking in virtual small coke oven laboratory environment It tests step and completes experiment using operation with mouse and keyboard.
Further, the coking tests step includes step 1: coal blending;Step 2: crushing;Step 3: fineness inspection; Step 4: coalingging;Step 5: setting temperature program;Step 6: coal is packed into small coke oven;Step 7: insertion thermocouple;8th Step: coking;Step 9: quenching;9 steps altogether.
Further, it is described to user carry out scoring refer to depending on the user's operation, coal blending 20 divides, other each steps 10 Point, 100 points altogether.Each step does not operate or operation order is not to can deduct points.
It is using above-mentioned further beneficial effect, small coke oven coking tests can be quantified as to 9 through the above steps Step, each step represent certain score, keep points-scoring system more reasonable, and facilitate record user's operation data and in time To user feedback, user is helped preferably to learn.
Further, the step 4 specifically includes:
The information that the information of user and user input is stored in database;
Administrator and user can check information and achievement at any time.
It is user data to be stored in database, user can look at any time using above-mentioned further beneficial effect See the operating result of oneself, while administrator can also check the data of user in client, be conducive to manage.
Detailed description of the invention
Fig. 1 is step flow chart of the invention.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and It is non-to be used to limit the scope of the invention.
Embodiment 1
As shown in Figure 1, a kind of virtual reality small coke oven coking tests teaching method, comprising the following steps:
Step 1: creation small coke oven coking tests virtual environment;
Step 2: determining Coal Blending Schemes according to the requirement of coke quality;
Step 3: the operation data of user is uploaded to server-side, server is achieved the result according to the operation of client;
Step 4: user's operation data storage can be checked Historical Results in client in database, user and administrator;
Specifically, step 1 includes:
A1, the size and structure for measuring laboratory, laboratory apparatus using tape measure first.According to laboratory room, laboratory table, window Family, laboratory points for attention picture frame, jaw crusher, balance, sieve, scoop, small coke oven, temperature controller, the structure of computer and ruler It is very little to carry out three-dimensional modeling using 3 d modeling software, and be .fbx by threedimensional model export format;
A2, threedimensional model is opened up into UV, obtains threedimensional model plan view, by Photoshop plane software by true laboratory and The surface rendering of laboratory apparatus obtains the textures of threedimensional model on two-dimentional UV plan view, and is .png by textures export format;
A3, threedimensional model and textures resource are imported into Unity3D, assigns texturing to threedimensional model, it can be by two-dimentional textures Threedimensional model surface is projected to, threedimensional model is made to show true texture and material in virtual environment, obtains small coke oven refining Burnt experimental situation.
Step 2 specifically includes:
B1, coke are the indispensable raw materials of blast furnace steel-making, and coke quality directly affects blast furnace ironmaking each economic target, to use The coking task that family is assigned refers to coke quality index are as follows: crushing strength>80%, wear-resistant strength<8%, reactivity indexes<26%, reaction Afterwards intensity be>60%, the coke of sulphur content<0.6%, ash content<13%;
B2, first user need to select coal, respectively 3 kinds of coking coal, 3 kinds of 1/3 coking coal, 3 kinds of rich coal, 3 kinds of lean coal, and 12 altogether Coal sample is selective.Selection coal is first had to, each coal can only select a coal sample, then input coal ratio;
B3, the coal ratio inputted according to user predict coke quality, the wherein prediction of ash content using Coke Quality Prediction Models Model equation is as follows:
(1)
Wherein,For coke ash,To cooperate ash content of coal;
The prediction model equation of sulphur content is as follows:
(2)
Wherein,For sulfur content in coke,For mixed coal sulphur content;
Coke crushing strength prediction model equation is as follows:
(3)
Wherein,For coke crushing strength,To cooperate ash content of coal,For mixed coal volatile matter,For mixed coal bonding Index;
Coke wear-resistant strength prediction model equation is as follows:
(4)
Wherein,For coke wear-resistant strength,To cooperate ash content of coal,For mixed coal volatile matter,For mixed coal bonding Index;
Coke reactivity prediction model equation is as follows:
(5)
Wherein,For coke reactivity,For mixed coal volatile matter,For mixed coal caking index;
Post reaction strength of coke prediction model equation is as follows:
(6)
Wherein,For post reaction strength of coke,To cooperate ash content of coal,For mixed coal volatile matter,It is viscous for mixed coal Tie index.
Prediction of coke quality is carried out according to the Coal Blending Schemes of user's input, if the coke quality of prediction meets appointing for coke Business requires, then enters in next step, and if the requirements are not met, then needs user's Coal Blending Schemes again, until prediction coke quality meets It is required that.
Step 3 specifically includes:
After c1, user complete coal blending task, coking tests need to be carried out in virtual small coke oven coking tests room according to Coal Blending Schemes.With Family needs to complete experiment using operation with mouse and keyboard in virtual small coke oven laboratory environment;
9 experimental procedures that c2, user need to complete coking include step 1: coal blending;Step 2: crushing;Step 3: fineness is examined It looks into;Step 4: coalingging;Step 5: setting temperature program;Step 6: coal is packed into small coke oven;Step 7: insertion thermocouple;The Eight steps: coking;Step 9: quenching;For user firstly the need of close to experimental provision, triggering prompt uses mouse and key according to prompt Disk completes experimental procedure;
C3, refer to depending on the user's operation, wherein coal blending 20 divides, and each 10 points, altogether 100 points of other 8 steps.Each step It does not operate or operation order is not to can all deduct points, score to user, and provide report and point out that the operation of the user is wrong Accidentally.
Step 4 specifically includes:
D1, the information that the information of user and user input is stored in database, each user has an ID, according to user The order-assigned ID of registion time, user name, password, Coal Blending Schemes, the operation data etc. of each ID stored underneath user.These Data can be uploaded to server end;
D2, client can sync server end data, administrator can check the information and achievement of all users, and user can only Check oneself information and achievement.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, instead in spirit of the invention and Within principle, made any modification, equivalent substitute, improvement etc. be should all be included in the protection scope of the present invention.

Claims (14)

1. a kind of virtual reality small coke oven coking tests teaching method, it is characterised in that:
Step 1: creation small coke oven coking tests virtual environment;
Step 2: determining Coal Blending Schemes according to the requirement of coke quality;
Step 3: the operation data of user is uploaded to server-side, server is achieved the result according to the operation of client;
Step 4: user's operation data storage can be checked Historical Results in client in database, user and administrator.
2. a kind of virtual reality small coke oven coking tests teaching method according to claim 1, which is characterized in that the step One specifically includes:
Three-dimensional modeling is carried out according to the size of small coke oven coking tests room and the structure of experimental facilities and size;
Threedimensional model is opened up into UV, material plan view is made by Photoshop plane software, is overlying on threedimensional model, makes three-dimensional Model shows true texture and material in virtual environment;
Threedimensional model and textures resource are imported into Unity3D, texturing is assigned to threedimensional model, obtains small coke oven coking tests Environment.
3. a kind of virtual reality small coke oven coking tests teaching method according to claim 2, it is characterised in that, the reality Testing room includes laboratory room, laboratory table, window, laboratory points for attention picture frame;The experimental facilities includes that Hubei Province formula is broken Machine, balance, sieve, scoop, small coke oven, temperature controller, computer.It is .fbx that threedimensional model, which exports format,.
4. a kind of virtual reality small coke oven coking tests teaching method according to claim 2, it is characterised in that, described three It is two-dimensional surface that dimension module exhibition UV, which is by the unfolded surface of threedimensional model, by Photoshop plane software by true texture It is drawn on two-dimensional surface, obtains textures, it is .png that textures, which export format,.
5. a kind of virtual reality small coke oven coking tests teaching method according to claim 2, it is characterised in that, the void Near-ring border is to assign the material with textures to threedimensional model, so that two-dimentional textures is projected to threedimensional model surface, obtains small coke oven Coking tests environment.
6. a kind of virtual reality small coke oven coking tests teaching method according to claim 1, which is characterized in that the step Two specifically include:
Coal-blending coking task is assigned, user inputs coal blend ratio;
Prediction of coke quality is carried out according to the Coal Blending Schemes of user's input, if the task that the coke quality of prediction meets coke is wanted It asks, then enters in next step, if the requirements are not met, then user's Coal Blending Schemes again is needed, until prediction coke quality is met the requirements.
7. a kind of virtual reality small coke oven coking tests teaching method according to claim 6, it is characterised in that, it is described Coking task refers to coke quality index are as follows: crushing strength>80%, wear-resistant strength<8%, reactivity indexes<26%, post reaction strength are >60%, the coke of sulphur content<0.6%, ash content<13%.User selects coal first, and the ratio of each coal is then inputted according to coking task Example.
8. a kind of virtual reality small coke oven coking tests teaching method according to claim 7, it is characterised in that, it is described Coal has 4 kinds, respectively 3 kinds of coking coal, 3 kinds of 1/3 coking coal, 3 kinds of rich coal, 3 kinds of lean coal, and 12 coal samples are selective altogether;Coal Quality index are as follows: ash content, volatile matter, index of cementation, final contraction value, thickness of colloidal matter layer, sulphur content, coal vitrinite maximum reflection Rate, standard deviation.When user inputs coal ratio, selection coal is first had to, each coal can only select a coal sample.
9. a kind of virtual reality small coke oven coking tests teaching method according to claim 6, it is characterised in that, the coke Charcoal quality prediction model is the coal ratio inputted according to user, pre- according to the data of user's input and Coke Quality Prediction Models Coke quality is surveyed, it is 100% that the data inputted first, which need to meet the sum of the ratio of each coal selected, is then needed all full 6 coke quality index of foot just can enter in next step.
10. a kind of virtual reality small coke oven coking tests teaching method according to claim 1, which is characterized in that the step Rapid three specifically include:
User carries out coking tests in virtual small coke oven coking tests room;
According to user's operation step, score to user.
11. a kind of virtual reality small coke oven coking tests teaching method according to claim 10, it is characterised in that, it is described Progress coking tests, which refer to, uses mouse and keyboard according to small coke oven coking tests step in virtual small coke oven laboratory environment Experiment is completed in operation.
12. a kind of virtual reality small coke oven coking tests teaching method according to claim 11, it is characterised in that, it is described Coking tests step includes step 1: coal blending;Step 2: crushing;Step 3: fineness inspection;Step 4: coalingging;Step 5: setting Set temperature program;Step 6: coal is packed into small coke oven;Step 7: insertion thermocouple;Step 8: coking;Step 9: quenching;One Totally 9 steps.
13. a kind of virtual reality small coke oven coking tests teaching method according to claim 10, it is characterised in that, it is described Scoring, which is carried out, to user refers to that depending on the user's operation coal blending 20 divides, other each steps 10 are divided, 100 points altogether, each step It is rapid without operation or operation order not to can all deduct points.
14. a kind of virtual reality small coke oven coking tests teaching method according to claim 1, which is characterized in that the step Rapid four specifically include:
The information that the information of user and user input is stored in database;
Administrator and user can check information and achievement at any time.
CN201910131067.1A 2019-02-22 2019-02-22 A kind of virtual reality small coke oven coking tests teaching method Pending CN109658781A (en)

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CN111732963A (en) * 2020-05-13 2020-10-02 邯郸钢铁集团有限责任公司 Coal blending method under different furnace type long coking time

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Application publication date: 20190419