Fire safety education method and system based on virtual reality technology
By integrating virtual reality technology and dynamic teaching strategy adjustment modules in the fire safety education system, the problems of not considering individual differences in students and untimely adjustment of teaching strategies in the existing technology are solved, and a more efficient and balanced fire safety education and teaching effect is achieved.
Patent Information
- Application Number
- CN202510139617.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-08
- Publication Date
- 2025-05-30
AI Technical Summary
The existing fire safety education methods based on virtual reality technology lack consideration of individual differences among students, and cannot timely and dynamically monitor and adjust teaching strategies, resulting in unbalanced teaching effects.
A fire safety education system based on virtual reality technology was designed, including the fire safety virtual environment construction module, the education strategy initial determination module, the education strategy adjustment analysis module and the education strategy adjustment execution module. The system collects students' operational data, extracts teaching indicators, and adjusts teaching strategies to ensure that the teaching content matches students' learning ability.
It has achieved dynamic adjustment of teaching strategies based on students' individual differences and learning ability, improved the teaching effect and efficiency of fire safety education, and ensured that every student can accept the most suitable teaching.
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Figure CN120071699A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of safety education, and more specifically, to a fire safety education method and system based on virtual reality technology. Background Art
[0002] With the rapid development of society and the acceleration of the urbanization process, fire safety has become an important issue in the field of public safety. Traditional fire safety education methods, such as classroom lectures and on-site drills, although have improved the public's fire safety awareness and self-rescue ability to a certain extent, have many limitations. For example, classroom lectures often lack intuitiveness and interactivity, making it difficult to stimulate students' learning interest; on-site drills require a large amount of resource investment and are limited by factors such as venue and time, making it difficult to popularize to all audiences.
[0003] In recent years, the rapid development of virtual reality (VR) technology has provided new possibilities for fire safety education. Virtual reality technology can simulate realistic fire scenes, enabling learners to experience the real sense of fire in a safe environment, thereby improving their ability to respond to fires. However, the existing fire safety education methods based on virtual reality technology still have some deficiencies.
[0004] On the one hand, the existing methods often lack sufficient consideration of students' individual differences. The learning abilities, operation habits, and familiarity with fire safety knowledge of different students vary, but the existing virtual reality fire safety education systems often adopt unified teaching content and difficulty, resulting in uneven teaching effects.
[0005] On the other hand, the existing systems lack dynamic monitoring and adaptive adjustment of students' learning processes. During the fire safety education process, students' learning abilities change over time, but the existing systems often cannot capture these changes in a timely manner and adjust teaching strategies according to the actual situation of students, thus affecting the further improvement of teaching effects.
[0006] Therefore, the present invention proposes a fire safety education method and system based on virtual reality technology. Summary of the Invention
[0007] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a fire safety education method and system based on virtual reality technology.
[0008] To achieve the above purpose, the present invention provides the following technical solutions:
[0009] A fire safety education system based on virtual reality technology, including a fire safety virtual environment construction module, a preliminary determination module for fire safety education strategies, an analysis module for adjusting education strategies, and an execution module for adjusting education strategies;
[0010] The fire safety virtual environment construction module is used to construct a virtual environment for fire safety education;
[0011] After the student first uses the virtual environment for fire safety education to operate, the initial fire safety education strategy determination module obtains the initial value of the teaching strategy of the student, and determines the fire safety education strategy of the student according to the initial value of the teaching strategy of the student;
[0012] After determining the fire safety education strategy of the student, the education strategy adjustment and analysis module marks the fire safety education strategy as the determined safety teaching strategy, inputs the determined safety teaching strategy into the virtual environment for fire safety education, sets the education analysis period, and obtains the education strategy adjustment value of the student every time an education analysis period passes;
[0013] Based on the comparison result of the education strategy adjustment value of the student with the upper value and the lower value of the education strategy adjustment, the education strategy adjustment and execution module determines the optimized safety teaching strategy and inputs the optimized safety teaching strategy into the virtual environment for fire safety education.
[0014] Further, the method for obtaining the initial value of the teaching strategy is as follows: collect all the operation data of the student in using the virtual environment for fire safety education, extract the features of the operation data to obtain operation features, obtain the index evaluation values of various teaching indexes, set the index evaluation threshold. When the index evaluation value of a teaching index is greater than or equal to the index evaluation threshold, mark this teaching index as a highly evaluated index; when the index evaluation value of a teaching index is less than the index evaluation threshold, mark this teaching index as an ordinary evaluated index. Sum up and take the average value of the index evaluation values of all the highly evaluated indexes to obtain the average high evaluation value Kbz. Match all the ordinary evaluated indexes in pairs to form an ordinary index group, calculate the difference between the two index evaluation values in the ordinary index group and take the absolute value to obtain the ordinary gap value. Set the ordinary gap threshold. When the ordinary gap value is greater than or equal to the ordinary gap threshold, mark this ordinary index group as an index gap group; when the ordinary gap value is less than the ordinary gap threshold, do not make further processing. Mark the total number of index gap groups as Ped, and use the formula to obtain the initial value of the teaching strategy Hts of this student.
[0015] Further, the method for obtaining the index evaluation value of a teaching index is as follows: obtain the teaching index evaluation model corresponding to a teaching index, use the operation features as the input data of the teaching index evaluation model, and the teaching index evaluation model outputs the index evaluation value of this teaching index.
[0016] Further, determine the fire safety education strategy for students according to the initial value of the teaching strategy for students, specifically: set a range of initial values of each teaching strategy corresponding to a teaching strategy level. First, the ranges of the initial values of the teaching strategies include (0, Ht1], (Ht1, Ht2], …, (Hts-1, Hts], and the teaching strategy levels include teaching strategy level 1, teaching strategy level 2, …, teaching strategy level s-1, teaching strategy level s. When the initial value of the teaching strategy ∈ (0, Ht1], select teaching strategy level 1. Each teaching strategy level corresponds to a fire safety education strategy, and the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level 1 < the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level 2 < … < the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level s-1 < the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level s.
[0017] Further, the method for obtaining the educational strategy adjustment value of a student is as follows: collect all virtual fire education records of a student within the education analysis period. The virtual fire education records include a record serial number and an initial value of the teaching strategy. Sort all the virtual fire education records in sequence according to the record serial number. Combine two adjacent virtual fire education records after sorting into an adjacent education record group. Obtain the educational record feedback value Duh of each adjacent education record group, where u = 1, 2, …, U, U is the total number of adjacent education record groups, and u is the number of the adjacent education record group. Set the educational record feedback coefficient as ah, where h = 1, 2, …, h, a1 < a2 < a3 < … < ah-1 < ah. Obtain the predicted operation characteristics of this student, obtain the initially predicted teaching strategy level of this student based on the predicted operation characteristics, obtain the teaching strategy level corresponding to the decision-making safety teaching strategy, calculate the difference between the initially predicted teaching strategy level and the teaching strategy level corresponding to the decision-making safety teaching strategy to obtain the teaching strategy level difference Mse, and use the formula to obtain the educational strategy adjustment value of this student.
[0018] Further, the method for obtaining the educational record feedback value of an adjacent education record group is as follows: perform a summation process on the initial values of the teaching strategies of the two virtual fire education records in the adjacent education record group and take the average value to obtain the continuous teaching performance value Zay. Calculate the difference between the initial value of the teaching strategy of the latter virtual fire education record and the initial value of the teaching strategy of the former virtual fire education record after sorting in the adjacent education record group to obtain the continuous teaching progress value Esg. Use the formula to obtain the educational record feedback value Duh of the adjacent education record group, where ta is the continuous teaching performance coefficient and tb is the continuous teaching progress coefficient.
[0019] Further, the method for obtaining the predicted operation characteristics of students is as follows: Obtain the operation characteristics of the student in the consecutive n educational analysis cycles before the current time, combine the operation characteristics of the n educational analysis cycles into a cycle operation characteristic set, obtain the operation characteristic prediction model of the student, use the cycle operation characteristic set as the input data of the operation characteristic prediction model, and the operation characteristic prediction model outputs the predicted operation characteristics of the student;
[0020] The method for obtaining the operation characteristics of one educational analysis cycle is as follows: Collect all the operation data of the student in the virtual environment of fire safety education during the educational analysis cycle, and perform feature extraction on the operation data to obtain the operation characteristics of the educational analysis cycle.
[0021] Further, based on the predicted operation characteristics, obtain the initial predicted teaching strategy level of the student, specifically: Obtain the predicted operation characteristics of a student, synchronously obtain the virtual environment of fire safety education, input the predicted operation characteristics into the virtual environment of fire safety education, determine the teaching strategy level adapted to the predicted operation characteristics, and mark this teaching strategy level as the initial predicted teaching strategy level.
[0022] Further, based on the comparison result of the educational strategy adjustment value of the student with the upper educational strategy adjustment value and the lower educational strategy adjustment value, determine the optimized safety teaching strategy, specifically: Set the upper educational strategy adjustment value and the lower educational strategy adjustment value. When the educational strategy adjustment value of the student is greater than or equal to the upper educational strategy adjustment value, mark the fire safety education strategy of the teaching strategy level one level higher than the initial predicted teaching strategy level as the optimized safety teaching strategy;
[0023] When the educational strategy adjustment value of the student is less than or equal to the lower educational strategy adjustment value, mark the fire safety education strategy of the teaching strategy level one level lower than the initial predicted teaching strategy level as the optimized safety teaching strategy;
[0024] When the educational strategy adjustment value of the student is between the upper educational strategy adjustment value and the lower educational strategy adjustment value, mark the fire safety education strategy of the initial predicted teaching strategy level as the optimized safety teaching strategy.
[0025] Further, the fire safety education method based on virtual reality technology includes the following steps:
[0026] Step 1: Construct a virtual environment for fire safety education;
[0027] Step 2: After the student first uses the virtual environment of fire safety education for operation, obtain the initial value of the teaching strategy of the student, and determine the fire safety education strategy of the student according to the initial value of the teaching strategy of the student.
[0028] Step 3: After determining the fire safety education strategy for the student, mark this fire safety education strategy as the determined safety teaching strategy, input the determined safety teaching strategy into the fire safety education virtual environment, set the education analysis period, and obtain the education strategy adjustment value of the student every time an education analysis period passes;
[0029] Step 4: Based on the comparison result of the student's education strategy adjustment value with the upper value and lower value of the education strategy adjustment, determine the optimized safety teaching strategy, and input the optimized safety teaching strategy into the fire safety education virtual environment.
[0030] Compared with the prior art, the present invention has the following beneficial effects:
[0031] 1. The method of the present invention can comprehensively determine the fire safety education strategy suitable for the student by combining the student's operations in the current period and predicting the operations in the next period, ensuring that the fire safety education strategy is adaptively adjusted according to the student's learning ability;
[0032] 2. Set up a fire safety virtual environment construction module and a fire safety education strategy preliminary determination module, provide a fire safety education environment with a sense of interaction and participation for students through virtual reality technology, and conduct in-depth analysis and evaluation of various indicators of the student's first operation, comprehensively determine the fire safety education strategy that matches the corresponding teaching difficulty and operation difficulty of the student, set up an education strategy adjustment analysis module and an education strategy adjustment execution module, comprehensively analyze the virtual fire education records of students in the fire safety education virtual environment periodically, and use the LSTM model to predict the operations of students. Description of the Drawings
[0033] Figure 1 is the method flowchart of the fire safety education method based on virtual reality technology;
[0034] Figure 2 is the system module diagram of the fire safety education system based on virtual reality technology;
[0035] Figure 3 is the acquisition flowchart of the preliminary prediction teaching strategy level. Detailed Embodiments
[0036] Example 1: Refer to Figure 1 , the fire safety education method based on virtual reality technology includes the following steps:
[0037] Step 1: Construct a fire safety education virtual environment.
[0038] Step 2: After the student first uses the fire safety education virtual environment for operations, obtain the initial value of the teaching strategy of the student, and determine the fire safety education strategy of the student according to the initial value of the teaching strategy of the student.
[0039] Step 3: After determining the fire safety education strategy for the student, mark the fire safety education strategy as the determined safety teaching strategy, input the determined safety teaching strategy into the fire safety education virtual environment, set the education analysis period, and obtain the education strategy adjustment value of the student every time an education analysis period elapses.
[0040] Step 4: Based on the comparison result of the education strategy adjustment value of the student with the upper value and the lower value of the education strategy adjustment, determine the optimized safety teaching strategy, and input the optimized safety teaching strategy into the fire safety education virtual environment.
[0041] The above method can comprehensively determine the fire safety education strategy suitable for the student by combining the operations of the student in the current period and predicting the operations in the next period, ensuring that the fire safety education strategy is adaptively adjusted according to the learning ability of the student.
[0042] Example 2: Refer to Figures 2 to 3 , a fire safety education system based on virtual reality technology, includes a fire safety virtual environment construction module, a fire safety education strategy preliminary determination module, an education strategy adjustment analysis module, and an education strategy adjustment execution module.
[0043] Fire safety virtual environment construction module: Construct a fire safety education virtual environment.
[0044] The construction process of the fire safety education virtual environment is as follows: Select virtual simulation software, use the scene editor and object library of Unreal Engine to create a fire scene, including setting elements such as building models, fire-fighting equipment, and flame effects, layout the various elements in the scene, ensure the authenticity and educational nature of the scene, set corresponding attributes for each element, such as the burning state of the flame and the available state of the fire-fighting equipment, use the physical engine of Unreal Engine (such as PhysX) to simulate physical phenomena and motion laws, such as gravity, collision, friction, etc., add controllers, such as joysticks, through blueprint programming or C++ programming for human intervention in the simulation process. Multiple interaction methods can be designed, such as using a joystick to control fire-fighting equipment, select fire-extinguishing strategies, etc., use blueprint visual scripting or C++ to write scripts to implement logical control and interaction functions in the scene. For example, scripts can be written to control the spread speed of the flame, the response speed of the fire-fighting equipment, etc., and then the fire safety education virtual environment can be built.
[0045] Fire safety education strategy preliminary determination module: After the student first uses the fire safety education virtual environment for operation, obtain the initial value of the teaching strategy of the student, and determine the fire safety education strategy of the student according to the initial value of the teaching strategy of the student.
[0046] The initial value acquisition method of the teaching strategy is as follows: Collect all the operation data of students in the virtual environment of fire safety education, extract the features of the operation data to obtain operation features, obtain the index evaluation values of various teaching indicators (teaching indicators include but are not limited to operation accuracy, operation proficiency, adaptability, decision-making ability), set the index evaluation threshold (the index evaluation threshold is a preset threshold, and the threshold size is set by the user), when the index evaluation value of a teaching indicator is greater than or equal to the index evaluation threshold, mark this teaching indicator as a highly evaluated indicator, when the index evaluation value of a teaching indicator is less than the index evaluation threshold, mark this teaching indicator as an ordinary evaluation indicator, sum up and take the average of the index evaluation values of all highly evaluated indicators to obtain the average high evaluation value Kbz, match all ordinary evaluation indicators in pairs to form an ordinary indicator group, calculate the difference between the two index evaluation values in the ordinary indicator group and take the absolute value to obtain the ordinary gap value, set the ordinary gap threshold (the ordinary gap threshold is a preset threshold, and the threshold size is set by the user), when the ordinary gap value is greater than or equal to the ordinary gap threshold, mark this ordinary indicator group as an indicator gap group, when the ordinary gap value is less than the ordinary gap threshold, do not make further processing, mark the total number of indicator gap groups as Ped, and use the formula to obtain the initial value Hts of the teaching strategy for this student.
[0047] The method for obtaining the index evaluation value of a teaching indicator is as follows: Obtain the teaching indicator evaluation model corresponding to a teaching indicator, use the operation features as the input data of the teaching indicator evaluation model, and the teaching indicator evaluation model outputs the index evaluation value of this teaching indicator.
[0048] Each teaching indicator corresponds to a teaching indicator evaluation model, and all teaching indicator evaluation models are constructed based on the neural network model. In this embodiment, taking operation accuracy as an example, the construction process of the teaching indicator evaluation model for operation accuracy is disclosed: Collect multiple operation features, construct a neural network model, use the operation features as the training data of the neural network model, assign an index evaluation value to each training data, and the value range of the index evaluation value is (1.0 - 4.0). The larger the value of the index evaluation value, the higher the operation accuracy of the student, and the smaller the value of the index evaluation value, the lower the operation accuracy of the student (if it is to construct the teaching indicator evaluation model for operation proficiency, the larger the value of the index evaluation value, the higher the operation proficiency of the student, and the smaller the value of the index evaluation value, the lower the operation proficiency of the student). Divide the training data into a training set and a validation set according to the set ratio of 4:1, perform neural network iterative training on the training set and the validation set, and after the training is completed, construct the teaching indicator evaluation model for operation accuracy.
[0049] Determine the fire safety education strategy for students based on the initial value of the teaching strategy. Specifically: Set a range of initial values for each teaching strategy corresponding to a teaching strategy level. First, the ranges of the initial values of the teaching strategies include (0, Ht1], (Ht1, Ht2], …, (Hts - 1, Hts], and the teaching strategy levels include teaching strategy level 1, teaching strategy level 2, …, teaching strategy level s - 1, teaching strategy level s. When the initial value of the teaching strategy ∈(0, Ht1], select teaching strategy level 1. Each teaching strategy level corresponds to a fire safety education strategy, and the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level 1 < the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level 2 < … < the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level s - 1 < the teaching difficulty and operation difficulty of the fire safety education strategy corresponding to teaching strategy level s.
[0050] Set up a fire safety virtual environment construction module and an initial determination module for the fire safety education strategy. Provide a fire safety education environment with a sense of interaction and participation for students through virtual reality technology, and conduct in-depth analysis and evaluation of various indicators of the students' first operation to comprehensively determine the fire safety education strategy that matches the teaching difficulty and operation difficulty of the students.
[0051] Educational strategy adjustment analysis module: After determining the fire safety education strategy for the students, mark this fire safety education strategy as the determined safety teaching strategy, input the determined safety teaching strategy into the fire safety education virtual environment (the fire safety education virtual environment adjusts corresponding parameters according to the determined safety teaching strategy, such as the complexity and scale of the fire scene), set an educational analysis period (the educational analysis period is a preset time period of the system, and the specific duration of the time period is set according to requirements. During the operation of the system, the educational analysis period loops infinitely). Every time an educational analysis period passes, obtain the educational strategy adjustment value of the students.
[0052] The method for obtaining the educational strategy adjustment value of a student is as follows: Collect all virtual fire education records of a student within an educational analysis period (each time a student operates using the virtual environment for fire safety education, a virtual fire education record is generated). The virtual fire education record includes a record serial number (the record serial number is i, i = 1, 2,..., i, and the record serial number increases sequentially according to the generation order of the virtual fire education records), and the initial value of the teaching strategy. Sort all the virtual fire education records in the order of the record serial numbers, combine two adjacent virtual fire education records after sorting into an adjacent education record group, and obtain the educational record feedback value Duh of each adjacent education record group, where u = 1, 2,..., U, U is the total number of adjacent education record groups, and u is the number of the adjacent education record group. Set the educational record feedback coefficient as ah, h = 1, 2,..., h, a1 < a2 < a3 <... < ah-1 < ah. Each educational record feedback coefficient corresponds to an educational record feedback value within a certain range. The value range of the educational record feedback value includes (0, Du1], (Du1, Du2],..., (Duh-1, Duh]. When Duh ∈ (0, Du1], the educational record feedback coefficient is a1. Obtain the predicted operation characteristics of this student, obtain the initial predicted teaching strategy level of this student based on the predicted operation characteristics, obtain the teaching strategy level corresponding to the determined safety teaching strategy, calculate the difference between the initial predicted teaching strategy level and the teaching strategy level corresponding to the determined safety teaching strategy (since the student continuously learns and operates in the virtual environment for fire safety education, the initial predicted teaching strategy level must be greater than or equal to the teaching strategy level corresponding to the determined safety teaching strategy), and obtain the teaching strategy level difference Mse. Use the formula to obtain the educational strategy adjustment value of this student.
[0053] The method for obtaining the educational record feedback value of an adjacent education record group is as follows: Sum and take the average of the initial values of the teaching strategies of the two virtual fire education records in the adjacent education record group to obtain the continuous teaching performance value Zay. Calculate the difference between the initial value of the teaching strategy of the latter virtual fire education record and the initial value of the teaching strategy of the former virtual fire education record after sorting in the adjacent education record group to obtain the continuous teaching progress value Esg. Use the formula to obtain the educational record feedback value Duh of the adjacent education record group, where ta is the continuous teaching performance coefficient, tb is the continuous teaching progress coefficient, the value of ta is 0.67, and the value of tb is 0.85.
[0054] To obtain the initial predicted teaching strategy level of this student based on the predicted operation characteristics, specifically: Obtain the predicted operation characteristics of a student, synchronously obtain the virtual environment for fire safety education, input the predicted operation characteristics into the virtual environment for fire safety education, determine the teaching strategy level adapted to the predicted operation characteristics, and mark this teaching strategy level as the initial predicted teaching strategy level.
[0055] The method for obtaining the predicted operation characteristics of a student is as follows: Obtain the operation characteristics of the student in the continuous n educational analysis cycles before the current time, combine the operation characteristics of the n educational analysis cycles into a periodic operation characteristic set, obtain the operation characteristic prediction model of the student, use the periodic operation characteristic set as the input data of the operation characteristic prediction model, and the operation characteristic prediction model outputs the predicted operation characteristics of the student.
[0056] The method for obtaining the operation characteristics of an educational analysis cycle is as follows: Collect all the operation data of the student in the virtual environment of fire safety education during the educational analysis cycle, and perform feature extraction on the operation data to obtain the operation characteristics of the educational analysis cycle.
[0057] The construction process of the operation characteristic prediction model of a student: Collect multiple periodic operation characteristic sets of the student, construct an LSTM model, use the periodic operation characteristic set as the training data of the LSTM model, assign a predicted operation characteristic to each training data, and the predicted operation characteristic is the operation characteristic of predicting the student in the virtual environment of fire safety education in the next educational analysis cycle. Divide the training data into a training set, a validation set, and a test set according to the set ratio of 5:1:1, and train the training set, the validation set, and the test set. After the training is completed, the operation characteristic prediction model of student a is constructed.
[0058] Educational strategy adjustment execution module: Set the upper value and lower value of educational strategy adjustment (the upper value of educational strategy adjustment is greater than the lower value of educational strategy adjustment, both the upper value and lower value of educational strategy adjustment are preset thresholds, and the threshold size can be customized). When the educational strategy adjustment value of the student is greater than or equal to the upper value of educational strategy adjustment, mark the fire safety education strategy of the upper-level teaching strategy level of the initially predicted teaching strategy level as the optimized safety teaching strategy (teaching strategy level 2 is the upper level of teaching strategy level 1). When the educational strategy adjustment value of the student is less than or equal to the lower value of educational strategy adjustment, mark the fire safety education strategy of the lower-level teaching strategy level of the initially predicted teaching strategy level as the optimized safety teaching strategy. When the educational strategy adjustment value of the student is between the upper value and lower value of educational strategy adjustment, mark the fire safety education strategy of the initially predicted teaching strategy level as the optimized safety teaching strategy, and input the optimized safety teaching strategy into the virtual environment of fire safety education (for the student to learn in the virtual environment of fire safety education subsequently).
[0059] An education strategy adjustment analysis module and an education strategy adjustment execution module are set up to comprehensively analyze the virtual fire education records of students in the virtual environment of fire safety education periodically, and use the LSTM model to predict the operations of students. The fire safety education strategy suitable for students is determined comprehensively by combining the operations of students in the current cycle and the predicted operations in the next cycle, so as to ensure that the fire safety education strategy is adaptively adjusted according to the learning ability of students.
[0060] The above formulas are all dimensionless and take their numerical values for calculation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.
[0061] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center in a wired or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.
[0062] It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
[0063] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Skilled professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.
[0064] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.
[0065] In several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in electrical, mechanical, or other forms.
[0066] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.
[0067] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application and should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.
Claims
1. Fire safety education system based on virtual reality technology, characterized by: It includes fire safety virtual environment construction module, fire safety education strategy preliminary determination module, education strategy adjustment analysis module, and education strategy adjustment execution module; The fire safety virtual environment construction module is used to construct a fire safety education virtual environment; The fire safety education strategy initialization module obtains the student's teaching strategy initialization value after the student uses the fire safety education virtual environment for the first time, and determines the student's fire safety education strategy according to the student's teaching strategy initialization value; After determining the fire safety education strategy of the student, the education strategy adjustment analysis module marks the fire safety education strategy as a determined safety teaching strategy, inputs the determined safety teaching strategy into the fire safety education virtual environment, sets an education analysis cycle, and obtains the education strategy adjustment value of the student after each education analysis cycle; The education strategy adjustment execution module determines the optimized safety teaching strategy based on the comparison results of the student's education strategy adjustment value with the education strategy adjustment upper value and the education strategy adjustment lower value, and inputs the optimized safety teaching strategy into the fire safety education virtual environment.
2. The fire safety education system based on virtual reality technology according to claim 1 is characterized in that: The initial value of the teaching strategy is obtained as follows: collect all the operation data of students in the fire safety education virtual environment, extract the characteristics of the operation data, obtain the operation characteristics, obtain the indicator evaluation values of various teaching indicators, set the indicator evaluation threshold, when the indicator evaluation value of a teaching indicator is greater than or equal to the indicator evaluation threshold, mark the teaching indicator as a highly evaluated indicator, when the indicator evaluation value of a teaching indicator is less than the indicator evaluation threshold, mark the teaching indicator as an ordinary evaluation indicator, sum the indicator evaluation values of all highly evaluated indicators and take the average to obtain the average high evaluation value Kbz, match all ordinary evaluation indicators into an ordinary indicator group, calculate the difference between the two indicator evaluation values in the ordinary indicator group and take the absolute value to obtain the ordinary gap value, set the ordinary gap threshold, when the ordinary gap value is greater than or equal to the ordinary gap threshold, mark the ordinary indicator group as an indicator gap group, when the ordinary gap value is less than the ordinary gap threshold, do no further processing, mark the total number of indicator gap groups as Ped, and use the formula Get the initial value Hts of the student’s teaching strategy.
3. The fire safety education system based on virtual reality technology according to claim 2 is characterized in that: The method for obtaining the indicator evaluation value of a teaching indicator is as follows: obtain a teaching indicator evaluation model corresponding to a teaching indicator, use the operation characteristics as input data of the teaching indicator evaluation model, and the teaching indicator evaluation model outputs the indicator evaluation value of the teaching indicator.
4. The fire safety education system based on virtual reality technology according to claim 1 is characterized in that: Determine the students' fire safety education strategies according to the students' initial teaching strategy values, specifically: set the range of each initial teaching strategy value to correspond to a teaching strategy level. First, the range of the initial teaching strategy values includes (0, Ht1], (Ht1, Ht2], …, (Hts-1, Hts], the teaching strategy levels include teaching strategy level 1, teaching strategy level 2, …, teaching strategy level s-1, teaching strategy level s, each teaching strategy level corresponds to a fire safety education strategy, teaching strategy level 1 corresponds to the teaching difficulty and operation difficulty of the fire safety education strategy < teaching strategy level 2 corresponds to the teaching difficulty and operation difficulty of the fire safety education strategy < … < teaching strategy level s-1 corresponds to the teaching difficulty and operation difficulty of the fire safety education strategy < teaching strategy level s corresponds to the teaching difficulty and operation difficulty of the fire safety education strategy 5. The fire safety education system based on virtual reality technology according to claim 1 is characterized in that: The method for obtaining the adjustment value of the student's education strategy is as follows: collect all virtual fire education records of a student within the education analysis cycle, the virtual fire education record includes the record serial number and the initial value of the teaching strategy, sort all the virtual fire education records in order according to the order of the record serial number, combine the two adjacent virtual fire education records after sorting into an adjacent education record group, obtain the education record feedback value Duh of each adjacent education record group, u = 1, 2, ..., U, U is the total number of adjacent education record groups, u is the number of adjacent education record groups, set the education record feedback coefficient to ah, h = 1, 2, ..., h, a1 < a2 < a3 < ... < ah-1 < ah, obtain the predicted operation characteristics of the student, obtain the initial predicted teaching strategy level of the student based on the predicted operation characteristics, obtain the teaching strategy level corresponding to the decision safety teaching strategy, calculate the difference between the initial predicted teaching strategy level and the teaching strategy level corresponding to the decision safety teaching strategy, and obtain the teaching strategy level difference Mse, and use the formula Get the educational strategy adjustment value of the student.
6. The fire safety education system based on virtual reality technology according to claim 5 is characterized in that: The method for obtaining the feedback value of the education record of the adjacent education record group is as follows: the initial values of the teaching strategies of the two virtual fire education records in the adjacent education record group are summed and averaged to obtain the continuous teaching performance value Zay, and the initial value of the teaching strategy of the virtual fire education record after the sorting in the adjacent education record group is calculated by difference with the initial value of the teaching strategy of the virtual fire education record before the sorting to obtain the continuous teaching progress value Esg, and the formula is used. The educational record feedback value Duh of the adjacent educational record group is obtained, where ta is the continuous teaching performance coefficient and tb is the continuous teaching progress coefficient.
7. The fire safety education system based on virtual reality technology according to claim 5 is characterized in that: The method for obtaining the predicted operation characteristics of the student is as follows: obtaining the operation characteristics of the student in n consecutive education analysis cycles before the current time, combining the operation characteristics of the n education analysis cycles into a period operation characteristic set, obtaining the operation characteristic prediction model of the student, using the period operation characteristic set as input data of the operation characteristic prediction model, and the operation characteristic prediction model outputs the predicted operation characteristics of the student; The operation characteristics of an education analysis cycle are obtained as follows: all operation data of students in the fire safety education virtual environment during the education analysis cycle are collected, and features are extracted from the operation data to obtain the operation characteristics of the education analysis cycle.
8. The fire safety education system based on virtual reality technology according to claim 5 is characterized in that: The initial predicted teaching strategy level of the student is obtained based on the predicted operation characteristics, specifically: the predicted operation characteristics of a student are obtained, and the fire safety education virtual environment is simultaneously obtained, the predicted operation characteristics are input into the fire safety education virtual environment, the teaching strategy level adapted to the predicted operation characteristics is determined, and the teaching strategy level is marked as the initial predicted teaching strategy level.
9. The fire safety education system based on virtual reality technology according to claim 1 is characterized in that: Based on the comparison results of the student's education strategy adjustment value, the education strategy adjustment upper value, and the education strategy adjustment lower value, determine the optimized safety teaching strategy, specifically: set the education strategy adjustment upper value and the education strategy adjustment lower value, and when the student's education strategy adjustment value is greater than or equal to the education strategy adjustment upper value, mark the fire safety education strategy of the teaching strategy level one level above the initial predicted teaching strategy level as the optimized safety teaching strategy; When the student's education strategy adjustment value is less than or equal to the education strategy adjustment lower value, the fire safety education strategy of the teaching strategy level one level below the initial predicted teaching strategy level is marked as an optimized safety teaching strategy; When the student's education strategy adjustment value is between the education strategy adjustment upper value and the education strategy adjustment lower value, the fire safety education strategy of the initial predicted teaching strategy level is marked as the optimized safety teaching strategy.
10. A fire safety education method based on virtual reality technology, applied to a fire safety education system based on virtual reality technology as claimed in any one of claims 1 to 9, characterized in that: The steps include: Step 1: Construct a virtual environment for fire safety education; Step 2: After the student uses the fire safety education virtual environment for the first time, the student's initial teaching strategy value is obtained, and the student's fire safety education strategy is determined according to the student's initial teaching strategy value; Step 3: After determining the fire safety education strategy of the student, mark the fire safety education strategy as the determined safety teaching strategy, input the determined safety teaching strategy into the fire safety education virtual environment, set the education analysis cycle, and obtain the education strategy adjustment value of the student after each education analysis cycle; Step 4: Based on the comparison results of the students' education strategy adjustment value, the education strategy adjustment upper value and the education strategy adjustment lower value, determine the optimized safety teaching strategy, and input the optimized safety teaching strategy into the fire safety education virtual environment.