CN113126755B - Collaborative development method of VR resources - Google Patents
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Abstract
The invention relates to a collaborative development method of VR resources, which comprises the following steps: detecting the types and the number of input signals of an experiment terminal, determining the number of input signals of current VR experiment resources and the types of the corresponding input signals, and encoding the input signals according to the types of the input signals; dividing the experiment operation to be performed by the current VR experiment resource into n experiment units, determining the interactive action of each experiment unit, grading the complexity and the risk of the interactive action of each experiment unit, and determining the interactive index of each experiment unit; according to the interactive index distribution experiment terminal of the experiment unit, the interactive action in each experiment unit is completed by utilizing the input signal of the experiment terminal, the experiment operation of the current VR experiment resource is completed, the experiment operation which needs to be executed based on the VR experiment resource can be respectively operated by the experiment terminal in the laboratory, the experiment resource is fully utilized, and the experiment efficiency is greatly improved.
Description
Technical Field
The invention relates to the technical field of software engineering, in particular to a collaborative development method of VR resources.
Background
At present, the computer technology is mature day by day and is continuously developed towards the direction of intellectualization, which also accelerates the reform of the education field. The new technical means such as artificial intelligence, virtual reality, augmented reality and the like all provide a new teaching mode for teaching application. The industry and informatization department have explicitly pointed out in published "guidance on accelerating the development of virtual reality industries": to guide and support the development of 'VR + education', promote the application of virtual reality technology in the fields of higher education, professional education and the like and experimental and demonstrative courses of physics, chemistry, biology, geography and the like, construct education and teaching environments of virtual classrooms, virtual laboratories and the like, develop new education methods of virtual teaching, virtual experiments and the like, and promote personalized learning centering on learners.
However, in a high-risk and high-energy-consumption experiment with cooperation of multiple persons, a plurality of students need to cooperate with each other to generate an experiment phenomenon. However, in the multi-person collaborative virtual reality experiment, because the VR equipment is expensive, the number of the VR equipment relative to the number of the students is not enough, and it cannot be guaranteed that each student can have one VR equipment, so that in the experiment process, various input modes such as VR equipment input, voice input and keyboard and mouse input can occur. Aiming at the problem of realizing the multi-input synergistic effect in the same experiment process, the prior art has the solution that the virtual experiment is carried out by using VR equipment, the common experiment is carried out without the VR equipment, and the experiment reports are submitted together after the experiments are respectively completed.
Experiments in the prior art are high in dependency on VR equipment, and when the VR equipment fails, the experiments cannot be continued, so that the experiment progress is influenced.
Disclosure of Invention
Therefore, the invention provides a collaborative development method of VR resources, which can solve the problem that the experiment progress is influenced by VR equipment and improve the experiment efficiency.
In order to achieve the above object, the present invention provides a method for collaborative development of VR resources, comprising:
constructing VR experiment resources;
detecting the types and the number of input signals of an experiment terminal, determining the number of input signals of current VR experiment resources and the types of the corresponding input signals, and encoding the input signals according to the types of the input signals;
dividing the experiment operation to be performed by VR experiment resources into n experiment units, determining the interactive action of each experiment unit, grading the complexity and risk of the interactive action of each experiment unit, and determining the interactive index of each experiment unit;
distributing experiment terminals according to the interaction indexes of the experiment units so as to complete interaction actions in each experiment unit by using input signals of the experiment terminals and complete experiment operation of current VR experiment resources;
the interaction index distribution experiment terminal according to the experiment unit includes: in the experiment process, if the interaction index of the current experiment unit is A1, selecting an experiment terminal T1 from the distribution matrix P (Ai, Ti) to execute the experiment operation corresponding to the experiment unit; if the interaction index of the current experiment unit is A2, selecting an experiment terminal T2 from the distribution matrix P (Ai, Ti) to execute the experiment operation corresponding to the experiment unit; and if the interaction index of the current experimental unit is An, selecting An experimental terminal Tn from the distribution matrix P (Ai, Ti) to execute the experimental operation corresponding to the experimental unit.
Further, when the type of the experimental terminal is determined, a first input number n1, a second input number n2, a third input number n3 and a fourth input number n4 are arranged in the information processing module, and n1< n2< n3< n4, when the type of the input signal of the experimental terminal is detected, if the number of the input types of the experimental terminal is greater than or equal to the first input number n1, the experimental terminal is represented as an experimental terminal T1 of the first type; if the first input number n1> the number of the input types of the experiment terminal is larger than or equal to the second input number n2, the experiment terminal is represented as an experiment terminal T2 of the second type; if the second input number n2> the number of the input types of the experiment terminal is more than or equal to the third input number n3, the experiment terminal is represented as an experiment terminal T3 of the third type; if the third input number n3> the number of the input types of the experiment terminal is more than or equal to the fourth input number n4, the experiment terminal is represented as an experiment terminal T4 of the fourth type; if the number of input types of the experimental terminal < the fourth input number n4, it indicates that the experimental terminal belongs to the experimental terminal T5 of the fifth type.
Furthermore, when the interaction index of the experiment unit is determined, a standard interaction index is preset in the information processing module, and if the interaction index of the current experiment unit is larger than or equal to the standard interaction index, the interaction index of the current experiment unit is high, the risk and/or complexity of the current experiment unit is high, and the current experiment unit needs to be further divided;
and if the interaction index of the current experiment unit is smaller than the standard interaction index, the interaction index of the current experiment unit is suitable, and the experiment terminal is selected based on the interaction index of the current experiment unit.
Further, when the current experimental unit needs to be further divided, if the 1.1 multiplied standard interaction index > the interaction index of the current experimental unit is more than or equal to the standard interaction index, the current experimental unit is divided into 2 secondary experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.1 multiplied by the standard interaction index, dividing the current experimental unit into 3 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.3 multiplied by the standard interaction index, dividing the current experimental unit into 4 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.3 multiplied by the standard interaction index, the current experimental unit is divided into 5 secondary experimental units.
Further, scoring the complexity and risk of interaction for each experimental unit, determining an interaction index for each experimental unit comprises:
the information processing module is internally provided with a calculation method of an interaction index Ai, wherein the interaction index Ai = k1 × M + k2 × D, wherein k1 represents a complexity weight coefficient, k2 represents a risk weight coefficient, k1+ k2=1, M represents the complexity of the interaction action, and D represents the risk of the interaction action.
Further, when the complexity of the interaction of the experiment unit is determined, the number of the experiment bodies in the experiment unit is determined;
in the experiment process, recording the real-time change event of each experimental body in the experiment unit, and recording the change parameters and the key frame of the change time;
setting priority according to the correlation degree of the event and the experimental body when recording the real-time change event of each experimental body;
when the real-time change event is related to the experimental process, setting the priority of the real-time change event to be the highest, and assigning a value of 0;
when the real-time change event is related to the experimental data, setting the priority of the real-time change event to be high, and assigning a value to be 1;
when the real-time change event is related to the experiment score, setting the priority of the real-time change event to be low, and assigning a value to be 2;
and when the real-time change event is irrelevant to the experimental process, setting the priority of the real-time change event to be the lowest, and assigning a value of 3.
And recording the influence between each priority change event and other experiment units so as to determine the complexity of the interactive action of the current experiment unit.
Further, if the real-time change event of the experimental body belongs to the highest priority, the number of other experimental units influenced by the event is judged, if the number of the influenced experimental units is larger than or equal to the number of the experimental bodies in the experimental units, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low;
if the real-time change event of the experimental body belongs to high priority, judging the number of other experimental units influenced by the event, if the number of the experimental units influenced by the event is more than or equal to 0.9 multiplied by the number of the experimental body in the experimental unit, indicating that the complexity of the interactive action of the current experimental unit is high, otherwise, determining that the complexity is low;
if the real-time change event of the experimental body belongs to the low priority, the number of other experimental units influenced by the event is judged, if the number of the experimental units influenced by the event is more than or equal to 0.5 multiplied by the number of the experimental body in the experimental unit, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low;
if the real-time change event of the experimental body belongs to the lowest priority, the number of other experimental units influenced by the event is judged, if the number of the experimental units influenced by the event is more than or equal to 0.2 multiplied by the number of the experimental bodies in the experimental units, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low.
Further, the experiment unit comprises a first experiment body and a second experiment body, wherein the first experiment body or the second experiment body comprises: an industrial experiment simulation body, a physical experiment simulation body, a cultural experiment simulation body and a medical experiment simulation body.
Further, the first experimental body or the second experimental body comprises an attribute entity, a data carrier and business logic, wherein the attribute entity is used for describing the attribute of the first experimental body or the second experimental body, the data carrier is used for binding the incidence relation between the attribute entity and the business logic, and the business logic is used for processing the business logic generated by the attribute change of the attribute entity.
Further, the standard interaction index is set to 0.5 × (M + D).
Compared with the prior art, the invention has the advantages that by determining the interaction index of the experiment unit and the type of the experiment terminal, selecting the experiment terminals according to different interaction indexes, so that the experiment terminals with more input types can execute the experiment operation corresponding to the experiment unit with higher interaction index, the experiment terminal with single input type executes the experiment operation corresponding to the experiment unit with lower interaction index, so that the experiment operations to be executed based on VR experiment resources can be respectively operated by the experiment terminals, thereby realizing the full utilization of the experiment terminals, meanwhile, the experimental efficiency in the experimental process is further improved, and compared with a method for carrying out interaction by adopting a single experimental input type, the collaborative development method in the embodiment of the invention not only improves the utilization rate of the experimental terminal, but also greatly improves the experimental efficiency.
In particular, the embodiment of the present invention divides the types of the experiment terminals accessed in the experiment, and in practical applications, if the number of the input types of the experiment terminals is large, the number of the interfaces supported by the terminal is large, which can perform richer interactive actions, and for the experiment terminals supporting less input types, the number of the enabled interfaces is small, which can perform more single interactive actions, the embodiment of the present invention divides the experiment terminals according to the number of the input types of the experiment terminals, into the first type of experiment terminals, the second type of experiment terminals, the third type of experiment terminals, the fourth type of experiment terminals and the fifth type of experiment terminals, and the embodiment of the present invention divides the experiment terminals to realize the precise division of the experiment units, so that the interactive actions in the experiment operation are distributed to the corresponding experiment terminals, the operation of experiment is more accurate, and the experiment operation is accomplished to the experiment terminal of using the difference, improves the integrality and the smoothness nature of experiment operation, improves experiment efficiency.
Particularly, the interaction index of the experiment unit is determined, the standard interaction index is preset in the information processing module, if the interaction index of the experiment unit is higher than the standard interaction index, the experiment unit needs to be further divided, so that the interaction index of the divided experiment unit is lower than the standard interaction index, the experiment unit meeting the standard interaction index is distributed to each terminal, the experiment process is completed through a plurality of experiment terminals, and the synergy among the terminals is improved. In the actual use process, if the experiment terminal breaks down, the type of the experiment terminal is changed, and different experiment units are distributed to the experiment terminal, so that the experiment operation process is flexibly distributed, and the experiment flexibility is improved.
Particularly, the experiment unit is divided into the sub-experiment units, so that the interaction indexes of the experiment unit are reduced, and the experiment terminals for executing the experiment operation are conveniently distributed to the sub-experiment units.
Particularly, the interaction index of each experiment unit is determined by calculating the interaction index of the experiment unit, so that the corresponding experiment terminal is distributed based on the interaction index of the experiment unit, the matching degree of the experiment unit and the experiment terminal is improved, and the operability and the flexibility of the experiment are improved.
Especially, the complexity of the interaction of the experiment unit is defined through the real-time change event in the experiment unit, so that the determination of the interaction index of the experiment unit is more accurate, an accurate basis is provided for improving the matching degree of the experiment terminal, and the efficiency of experiment operation is improved.
Particularly, the experiment unit in the embodiment of the invention comprises a first experiment body and a second experiment body, the experiment bodies are simulation experiment bodies in various fields, the types of VR resources in the embodiment of the invention are increased, the application richness of the VR resource collaborative development method provided by the embodiment of the invention is improved, and meanwhile, the width of the experiment field is improved and the experiment richness is increased.
Especially, the first experimental body or the second experimental body improves the maneuverability of the first experimental body and the second experimental body and the real-time recording performance when the first experimental body or the second experimental body is operated by arranging the three-layer data structure, so that the repeatability of the experiment is improved, the operation flexibility of the first experimental body and the second experimental body is improved, the flexibility of the experimental process is further improved, and the matching of the experimental terminal in the experimental process is more accurate.
Especially, through setting up standard interaction index to carry out comparison and judgment to the real-time interaction index of experiment unit, improve and judge whether the accuracy of cutting apart to the experiment unit, and then also more accurate when selecting experiment terminal, make experiment unit and experiment terminal's matching degree higher, be convenient for in the experimentation, arbitrary equipment breaks down, then changes the experiment terminal of carrying out the experiment unit that corresponds, improves the flexibility of experiment, also guarantees the continuity of experiment.
Drawings
Fig. 1 is a schematic flowchart of a VR resource collaborative development method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for collaborative development of VR resources according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
Referring to fig. 1, a method for collaborative development of VR resources provided by an embodiment of the present invention includes:
step S100: constructing VR experiment resources;
step S200: detecting the types and the number of input signals of an experiment terminal, determining the number of input signals of current VR experiment resources and the types of the corresponding input signals, and encoding the input signals according to the types of the input signals;
step S300: dividing the experiment operation to be performed by the current VR experiment resource into n experiment units, determining the interactive action of each experiment unit, grading the complexity and the risk of the interactive action of each experiment unit, and determining the interactive index of each experiment unit;
step S400: distributing experiment terminals according to the interaction indexes of the experiment units so as to complete interaction actions in each experiment unit by using input signals of the experiment terminals and complete experiment operation of current VR experiment resources;
in step S400, a distribution matrix P (Ai, Ti) is preset in the information processing module, where Ai represents an interaction index of an experimental unit, and Ti represents an i-th type experimental terminal, and in the experimental process, if the interaction index of the current experimental unit is a1, an experimental terminal T1 is selected from the distribution matrix P (Ai, Ti) to execute an experimental operation corresponding to the experimental unit; if the interaction index of the current experiment unit is A2, selecting an experiment terminal T2 from the distribution matrix P (Ai, Ti) to execute the experiment operation corresponding to the experiment unit; and if the interaction index of the current experimental unit is An, selecting An experimental terminal Tn from the distribution matrix P (Ai, Ti) to execute the experimental operation corresponding to the experimental unit.
Specifically, according to the collaborative development method for VR resources provided by the embodiment of the present invention, by determining the interaction index of the experiment unit and the type of the experiment terminal, and selecting the experiment terminal according to different interaction indexes, so that the experiment terminal with more input types can execute the experiment operation corresponding to the experiment unit with higher interaction index, and the experiment terminal executes the experiment operation corresponding to the experiment unit with lower interaction index if the input type of the experiment terminal is single, so that the experiment operations to be executed based on VR experiment resources can be respectively operated by the experiment terminal, thereby realizing the full utilization of the experiment resources, meanwhile, the experimental efficiency in the experimental process is further improved, and compared with a method for carrying out interaction by adopting a single experimental input type, the collaborative development method in the embodiment of the invention not only improves the utilization rate of the experimental terminal, but also greatly improves the experimental efficiency.
Specifically, the input signal types of the experimental terminal in the embodiment of the present invention may include multiple types such as VR helmets, handles, mice, keyboards, touch controls, and the like, and a first input number n1, a second input number n2, a third input number n3, and a fourth input number n4 are preset in the information processing module, and n1< n2< n3< n 4. When the type of the input signal of the experiment terminal is detected, if the number of the input types of the experiment terminal is more than or equal to the first input number n1, the experiment terminal is represented as an experiment terminal T1 of the first type; if the first input number n1> the number of the input types of the experiment terminal is larger than or equal to the second input number n2, the experiment terminal is represented as an experiment terminal T2 of the second type; if the second input number n2> the number of the input types of the experiment terminal is more than or equal to the third input number n3, the experiment terminal is represented as an experiment terminal T3 of the third type; if the third input number n3> the number of the input types of the experiment terminal is more than or equal to the fourth input number n4, the experiment terminal is represented as an experiment terminal T4 of the fourth type; if the number of input types of the experimental terminal < the fourth input number n4, it indicates that the experimental terminal belongs to the experimental terminal T5 of the fifth type.
Specifically, the embodiment of the present invention divides the types of the experiment terminals accessed in the experiment, and in practical applications, if the number of the input types of the experiment terminals is large, the number of the interfaces supported by the terminal is large, which can perform richer interactive actions, and for the experiment terminals supporting less input types, the number of the enabled interfaces is small, which can perform more single interactive actions, and the embodiment of the present invention divides the experiment terminals according to the number of the input types of the experiment terminals, into the first type of experiment terminals, the second type of experiment terminals, the third type of experiment terminals, the fourth type of experiment terminals, and the fifth type of experiment terminals, and divides the experiment terminals, so as to realize accurate division of the experiment units, so that the interactive actions in the experiment operation are allocated to the corresponding experiment terminals, the operation to the experiment is more accurate, and enables different experiment terminals to accomplish the experiment operation for the integrality and the smoothness of experiment operation improve experiment efficiency.
Specifically, when the interaction index of the experimental unit is determined, a standard interaction index is preset in the information processing module, and if the interaction index of the current experimental unit is greater than or equal to the standard interaction index, the interaction index of the current experimental unit is high, the risk and/or complexity of the current experimental unit is high, and the current experimental unit needs to be further divided;
and if the interaction index of the current experiment unit is smaller than the standard interaction index, the interaction index of the current experiment unit is suitable, and the experiment terminal is selected based on the interaction index of the current experiment unit.
Specifically, in the collaborative development method for VR resources provided by the embodiments of the present invention, the interaction index of the experiment unit is determined, the standard interaction index is set in the information processing module, if the interaction index of the experiment unit is higher than the standard interaction index, the experiment unit needs to be further divided, so that the divided experiment unit is lower than the standard interaction index, so that the experiment unit meeting the standard interaction index is allocated to each experiment terminal, the experiment process is completed by a plurality of experiment terminals, and the synergy between the terminals is improved.
Specifically, when the current experimental unit needs to be further divided, if the interaction index of 1.1 multiplied by the standard interaction index > the current experimental unit is not less than the standard interaction index, the current experimental unit is divided into 2 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.1 multiplied by the standard interaction index, dividing the current experimental unit into 3 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.3 multiplied by the standard interaction index, dividing the current experimental unit into 4 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.3 multiplied by the standard interaction index, the current experimental unit is divided into 5 secondary experimental units.
Specifically, the determination of the interaction index of each sub-experimental unit is also evaluated according to the complexity and risk of the interaction in the sub-experimental unit, and is not described herein again.
Specifically, the experiment unit is divided into the sub-experiment units to reduce the interaction indexes of the sub-experiment units, so that the experiment terminals for executing the experiment operation are conveniently distributed to the sub-experiment units.
Specifically, the complexity and risk of interaction for each experimental unit is scored, and determining the interaction index for each experimental unit comprises:
the information processing module is internally provided with a calculation method of an interaction index Ai, wherein the interaction index Ai = k1 × M + k2 × D, wherein k1 represents a complexity weight coefficient, k2 represents a risk weight coefficient, k1+ k2=1, M represents the complexity of the interaction action, and D represents the risk of the interaction action.
Specifically, the interaction indexes of the experiment units are calculated to determine the interaction index of each experiment unit, the corresponding experiment terminal is distributed based on the interaction indexes of the experiment units, the matching degree of the experiment units and the experiment terminals is improved, and the operability and the flexibility of the experiment are improved.
Specifically, when determining the complexity of the interaction of the experiment unit, determining the number of the experiment bodies in the experiment unit;
in the experiment process, recording the real-time change event of each experimental body in the experiment unit, and recording the change parameters and the key frame of the change time;
setting priority according to the correlation degree of the event and the experimental body when recording the real-time change event of each experimental body;
when the real-time change event is related to the experimental process, setting the priority of the real-time change event to be the highest, and assigning a value of 0;
when the real-time change event is related to the experimental data, setting the priority of the real-time change event to be high, and assigning a value to be 1;
when the real-time change event is related to the experiment score, setting the priority of the real-time change event to be low, and assigning a value to be 2;
when the real-time change event is irrelevant to the experimental process, setting the priority of the real-time change event to be the lowest, and assigning a value to be 3;
and recording the influence between each priority change event and other experiment units so as to determine the complexity of the interactive action of the current experiment unit.
Specifically, the embodiment of the invention defines the complexity of the interaction of the experiment unit through the fact change event in the experiment unit, so that the determination of the interaction index of the experiment unit is more accurate, an accurate basis is provided for improving the matching degree of the experiment terminal, and the efficiency of experiment operation is improved.
Specifically, if the real-time change event of the experimental body belongs to the highest priority, the number of other experimental units influenced by the event is judged, if the number of the influenced experimental units is more than or equal to the number of the experimental bodies in the experimental units, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low;
if the real-time change event of the experimental body belongs to high priority, judging the number of other experimental units influenced by the event, if the number of the experimental units influenced by the event is more than or equal to 0.9 multiplied by the number of the experimental body in the experimental unit, indicating that the complexity of the interactive action of the current experimental unit is high, otherwise, determining that the complexity is low;
if the real-time change event of the experimental body belongs to the low priority, the number of other experimental units influenced by the event is judged, if the number of the experimental units influenced by the event is more than or equal to 0.5 multiplied by the number of the experimental body in the experimental unit, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low;
if the real-time change event of the experimental body belongs to the lowest priority, the number of other experimental units influenced by the event is judged, if the number of the experimental units influenced by the event is more than or equal to 0.2 multiplied by the number of the experimental bodies in the experimental units, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low.
According to the VR resource collaborative development method provided by the embodiment of the invention, if the influence of the real-time change event on the experiment process is not large, the number of the experiment units influenced by the real-time change is determined, different comparison standards are adopted, the accuracy of the comparison result is improved, the matching degree of the experiment units and the experiment terminal is further improved, the smoothness of the experiment operation is improved, and the experiment efficiency is improved.
Specifically, the experiment unit includes a first experiment body and a second experiment body, and the first experiment body or the second experiment body includes: an industrial experiment simulation body, a physical experiment simulation body, a cultural experiment simulation body and a medical experiment simulation body.
Specifically, the experiment unit in the embodiment of the present invention includes a first experiment body and a second experiment body, and the experiment bodies are simulation experiment bodies in various fields, so that the types of VR resources in the embodiment of the present invention are increased, the application richness of the VR resource collaborative development method provided in the embodiment of the present invention is improved, the width of the experiment field is improved, and the experiment richness is increased.
Specifically, the first experimental body or the second experimental body includes an attribute entity, a data carrier, and a service logic, where the attribute entity is used to describe an attribute of the first experimental body or the second experimental body, the data carrier is used to bind an association relationship between the attribute entity and the service logic, and the service logic is used to process the service logic generated by a change in the attribute of the attribute entity.
According to the embodiment of the invention, the first experimental body or the second experimental body is provided with the three-layer data structure, so that the operability of the first experimental body and the second experimental body is improved, the real-time recording performance during the operation of the first experimental body or the second experimental body is improved, the repeatability of the experiment is improved, the operation flexibility of the first experimental body and the second experimental body is improved, the flexibility of the experimental process is further improved, and the matching of the experimental terminal in the experimental process is more accurate.
Specifically, the standard interaction index is set to 0.5 × (M + D).
According to the embodiment of the invention, the standard interaction index is set to compare and judge the real-time interaction index of the experiment unit, so that the accuracy of judging whether the experiment unit is divided is improved, and the experiment terminal is more accurate when selected, so that the matching degree of the experiment unit and the experiment terminal is higher, any equipment is convenient to break down in the experiment process, the experiment terminal for executing the corresponding experiment unit is changed, the flexibility of the experiment is improved, and the continuity of the experiment is also ensured.
Specifically, the VR resource collaborative development method provided by the embodiment of the present invention is developed by a unity3D engine, and resource packages in various formats (single machine version, network version, mobile phone version, and pad version) can be released by using the steammr framework tool VRTK plug-in and the photon, so that a multi-person collaborative experiment task can be completed even in the case of a small number of laboratory devices.
As shown in fig. 2, an apparatus for collaborative development of VR resources according to an embodiment of the present invention includes: the system comprises an automatic identification module 10, an interactive adaptation module 20, a network communication module 30 and an information processing module 40, wherein the automatic identification module 10 is used for detecting the type of an input signal and the quality of the input signal of an experimental terminal; the interactive adaptation module 20 is used for distributing experimental terminals to the experimental operations according to the interactive indexes of the experimental units, the network communication module 30 is used for completing the experimental operations according to the communication between the experimental units, and the information processing module 40 is internally and previously provided with a distribution matrix P (Ai, Ti), wherein Ai represents the interactive indexes of the experimental units, and Ti represents the ith type of experimental terminals.
The device for collaborative development of VR resources provided in the embodiments of the present invention is used to execute the method for collaborative development of VR resources provided in the embodiments of the present invention, and has corresponding functional modules, which are not described herein again.
Specifically, in the automatic identification module 10, the embodiment of the present invention employs a VRTK plug-in to detect the type of the input signal. Two modes, namely a helmet mode and a common mode, are preset in the system. The difference of the two modes is only that the interaction modes are different, one mode is that the interaction is carried out by a handle, the other mode is that the interaction is carried out by a mouse and a keyboard, and the contents of other experiments are completely the same. When the system detects a helmet, the helmet mode is started, otherwise, the normal mode is started.
In the interactive adaptation module 20, the embodiment of the present invention adopts a mode corresponding to key values, and corresponds different interactive peripheral devices and interactive events to a uniform key value, and then drives the experimental process by the uniform key value. Therefore, the experimental process can be ensured to be uniform, and the experimental development is facilitated. The specific corresponding relation is that the handle trigger corresponds to the mouse click or the mobile phone touch. For keyboard mapping, because of the particularity of the VR experiment, a virtual keyboard is built in the VR scene, so that the virtual keyboard can correspond to a computer keyboard and a mobile phone keyboard. In addition, before corresponding to the key value, an abnormal data processing module is added, and for data input by different peripheral equipment, input data analysis is required to be performed, and some abnormal data are processed.
In the network communication module 30, the embodiment of the present invention employs the currently mainstream photon server, which can well satisfy data communication between different platforms. Firstly, a first student entering an experiment establishes a Room and generates a Room number RoomID, and when other students enter the experiment, the Room can be newly established or the previously established Room can be added. Therefore, students with the same room number RoomID are in the same room, and students with different room numbers RoomID are not in the same room, which is equivalent to grouping students. When the number of people in a room meets the experiment requirement, the construction of the virtual laboratory is completed, and the experiment can be started.
In the network communication module, a disconnection reconnection function is added. In the process of experiment of students, the client side records data such as student ID, operation data and experiment state, the recorded data is stamped with a timestamp and uploaded to the server at a certain time interval, and the server covers corresponding data of the database before according to the student ID after receiving each piece of data. When the client is disconnected with the server due to network fluctuation, the client sends a connection request to the server at a certain time interval to try to reestablish the connection; if the client is successfully connected with the server, the server inquires the time stamp of the client in the database and sends the time stamp to the client, the client compares the time stamp with the current time after receiving the time stamp sent by the server, when the time interval is smaller than a certain value, the data stored locally is directly extracted for updating, and if the time interval exceeds the certain value, the data is downloaded again. If the connection with the server still cannot be established after a certain number of times or a certain time, a prompt pops up to indicate the reason of the disconnection and give a suggestion.
In VR experiment resource development, the embodiment of the invention sets two modes, namely a teaching mode and an experiment mode. Under the teaching mode, mr operates the experiment, and the student can only observe the experiment and can not operate, and whole experimentation is accomplished by mr, and mr can communicate with the student through pronunciation and characters. In the experiment mode, students form groups to complete experiments, teachers enter different groups to observe experiments according to different RoomID numbers, and students can be guided to operate. The teacher entering and exiting the experiment does not affect the normal running of the experiment. All experimenters can enter the experiment from any platform, and the experiment can be started as long as the number of experimenters is met, so that the limitation of equipment and places is eliminated.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A method for collaborative development of VR resources, comprising:
constructing VR experiment resources;
detecting the types and the number of input signals of an experiment terminal, determining the number of input signals of current VR experiment resources and the types of the corresponding input signals, and encoding the input signals according to the types of the input signals;
dividing the experiment operation to be performed by the current VR experiment resource into n experiment units, determining the interactive action of each experiment unit, grading the complexity and the risk of the interactive action of each experiment unit, and determining the interactive index of each experiment unit;
scoring the complexity and risk of interaction for each unit of experiment, determining an interaction index for each unit of experiment comprising:
a calculation method of an interaction index Ai is arranged in the information processing module, the interaction index Ai = k1 × M + k2 × D, wherein k1 represents a complexity weight coefficient, k2 represents a risk weight coefficient, k1+ k2=1, M represents the complexity of the interaction action, and D represents the risk of the interaction action;
distributing experiment terminals according to the interaction indexes of the experiment units so as to complete interaction actions in each experiment unit by using input signals of the experiment terminals and complete experiment operation of current VR experiment resources;
wherein, the distributing experiment terminal according to the interaction index of the experiment unit comprises: in the experiment process, if the interaction index of the current experiment unit is A1, selecting an experiment terminal T1 from the distribution matrixes P (Ai, Ti) to execute the experiment operation corresponding to the experiment unit; if the interaction index of the current experiment unit is A2, selecting an experiment terminal T2 from the distribution matrix P (Ai, Ti) to execute the experiment operation corresponding to the experiment unit; if the interaction index of the current experimental unit is An, selecting An experimental terminal Tn from the distribution matrix P (Ai, Ti) to execute the experimental operation corresponding to the experimental unit;
the experiment terminal with more input types executes the experiment operation corresponding to the experiment unit with higher interaction index, and the experiment terminal with single input type executes the experiment operation corresponding to the experiment unit with lower interaction index;
when the type of the experiment terminal is judged, a first input number n1, a second input number n2, a third input number n3 and a fourth input number n4 are arranged in the information processing module, and n1> n2> n3> n4, when the type of the input signal of the experiment terminal is detected, if the number of the input types of the experiment terminal is larger than or equal to the first input number n1, the experiment terminal is represented as an experiment terminal T1 of the first type; if the first input number n1> the number of the input types of the experiment terminal is larger than or equal to the second input number n2, the experiment terminal is represented as an experiment terminal T2 of the second type; if the second input number n2> the number of the input types of the experiment terminal is more than or equal to the third input number n3, the experiment terminal is represented as an experiment terminal T3 of the third type; if the third input number n3> the number of the input types of the experiment terminal is more than or equal to the fourth input number n4, the experiment terminal is represented as an experiment terminal T4 of the fourth type; if the number of input types of the experimental terminal < the fourth input number n4, it indicates that the experimental terminal belongs to the experimental terminal T5 of the fifth type.
2. The method for collaborative development of VR resources of claim 1,
when the interaction index of the experiment unit is determined, a standard interaction index is preset in the information processing module, and if the interaction index of the current experiment unit is larger than or equal to the standard interaction index, the interaction index of the current experiment unit is high, the risk and/or complexity of the current experiment unit is high, and the current experiment unit needs to be further divided;
and if the interaction index of the current experiment unit is smaller than the standard interaction index, the interaction index of the current experiment unit is suitable, and the experiment terminal is selected based on the interaction index of the current experiment unit.
3. The method for collaborative development of VR resources of claim 2,
when the current experiment unit needs to be further divided, if the 1.1 multiplied standard interaction index is larger than the interaction index of the current experiment unit and is not smaller than the standard interaction index, the current experiment unit is divided into 2 secondary experiment units;
if the interaction index of the current experimental unit is larger than or equal to 1.1 multiplied by the standard interaction index, dividing the current experimental unit into 3 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.3 multiplied by the standard interaction index, dividing the current experimental unit into 4 experimental units;
if the interaction index of the current experimental unit is larger than or equal to 1.3 multiplied by the standard interaction index, the current experimental unit is divided into 5 secondary experimental units.
4. The method for collaborative development of VR resources of claim 3,
determining the number of experimental bodies in the experimental unit when determining the complexity of the interactive action of the experimental unit;
in the experiment process, recording the real-time change event of each experimental body in the experiment unit, and recording the change parameters and the key frame of the change time;
setting priority according to the correlation degree of the event and the experimental body when recording the real-time change event of each experimental body;
when the real-time change event is related to the experimental process, setting the priority of the real-time change event to be the highest, and assigning a value of 0;
when the real-time change event is related to the experimental data, setting the priority of the real-time change event to be high, and assigning a value to be 1;
when the real-time change event is related to the experiment score, setting the priority of the real-time change event to be low, and assigning a value to be 2;
when the real-time change event is irrelevant to the experimental process, setting the priority of the real-time change event to be the lowest, and assigning a value to be 3;
and recording the influence between each priority change event and other experiment units so as to determine the complexity of the interactive action of the current experiment unit.
5. The method for collaborative development of VR resources of claim 4,
if the real-time change event of the experimental body belongs to the highest priority, judging the number of other experimental units influenced by the event, if the number of the experimental units influenced by the event is more than or equal to the number of the experimental bodies in the experimental units, indicating that the complexity of the interactive action of the current experimental unit is high, otherwise, determining that the complexity is low;
if the real-time change event of the experimental body belongs to high priority, judging the number of other experimental units influenced by the event, if the number of the experimental units influenced by the event is more than or equal to 0.9 multiplied by the number of the experimental body in the experimental unit, indicating that the complexity of the interactive action of the current experimental unit is high, otherwise, determining that the complexity is low;
if the real-time change event of the experimental body belongs to the low priority, the number of other experimental units influenced by the event is judged, if the number of the experimental units influenced by the event is more than or equal to 0.5 multiplied by the number of the experimental body in the experimental unit, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low;
if the real-time change event of the experimental body belongs to the lowest priority, the number of other experimental units influenced by the event is judged, if the number of the experimental units influenced by the event is more than or equal to 0.2 multiplied by the number of the experimental bodies in the experimental units, the complexity of the interactive action of the current experimental unit is high, otherwise, the complexity is determined to be low.
6. The method for collaborative development of VR resources of any one of claims 1-5,
the experiment unit comprises a first experiment body and a second experiment body, wherein the first experiment body or the second experiment body comprises: an industrial experiment simulation body, a physical experiment simulation body, a cultural experiment simulation body and a medical experiment simulation body.
7. The method for collaborative development of VR resources of claim 6, wherein the first or second experimenter comprises an attribute entity, a data carrier and business logic, the attribute entity is used for describing attributes of the experimenter, the data carrier is used for binding the association relationship between the attribute entity and the business logic, and the business logic is used for processing the business logic generated by attribute changes of the attribute entity.
8. The method for collaborative development of VR resources of claim 2, wherein the standard interaction index is set to 0.5 × (M + D).
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