CN117496790A - Virtual fire-fighting vehicle training system, virtual fire-fighting vehicle training method, electronic device and storage medium - Google Patents
Virtual fire-fighting vehicle training system, virtual fire-fighting vehicle training method, electronic device and storage medium Download PDFInfo
- Publication number
- CN117496790A CN117496790A CN202311755936.0A CN202311755936A CN117496790A CN 117496790 A CN117496790 A CN 117496790A CN 202311755936 A CN202311755936 A CN 202311755936A CN 117496790 A CN117496790 A CN 117496790A
- Authority
- CN
- China
- Prior art keywords
- training
- virtual
- fire
- scene
- simulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012549 training Methods 0.000 title claims abstract description 164
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000003860 storage Methods 0.000 title claims abstract description 16
- 238000004088 simulation Methods 0.000 claims abstract description 86
- 238000011156 evaluation Methods 0.000 claims abstract description 11
- 230000000007 visual effect Effects 0.000 claims description 18
- 238000010276 construction Methods 0.000 claims description 11
- 238000007689 inspection Methods 0.000 claims description 6
- 230000003938 response to stress Effects 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 11
- 238000010586 diagram Methods 0.000 description 19
- 238000004590 computer program Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 230000001133 acceleration Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000004075 alteration Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
- G09B9/052—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles characterised by provision for recording or measuring trainee's performance
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a virtual fire-fighting vehicle training system, a virtual fire-fighting vehicle training method, electronic equipment and a storage medium, wherein the virtual fire-fighting vehicle training system comprises: the system comprises a theory learning module, a skill assessment module, an actual operation training module and a skill evaluation module. According to the invention, the theoretical learning module is used for training the theoretical knowledge of fire truck operation of the parametrics, and a virtual trigger is added in a pre-constructed 3D simulation virtual scene based on the theoretical knowledge of fire truck operation, so that the actual operation assessment data of the parametrics are recorded, and the actual operation ability of the parametrics is evaluated based on the actual operation assessment data; therefore, the combination of the 3D virtual scene and theoretical knowledge is realized, the traditional written training is changed into virtual driving, the reality of practical training is enhanced, and the virtual trigger is added in the 3D virtual scene to record the assessment score of the training personnel, so that the training effect and the practical training capability of the training personnel are effectively evaluated, and the comprehensive practical training capability of the fire-fighting vehicle drivers is greatly improved.
Description
Technical Field
The invention relates to the technical field of virtual simulation, in particular to a virtual fire-fighting vehicle training system, a virtual fire-fighting vehicle training method, electronic equipment and a storage medium.
Background
The safety emergency field, particularly the fire emergency of public society, is more and more important while the economy of China is rapidly developed, and the requirements on urban traffic complexity and timely response of urban rescue are continuously improved and the requirements on skills of drivers of fire-fighting vehicles are also higher and higher along with the higher and higher degree of occupational fire emergency.
However, in daily training, it is often difficult for a fire truck driver to comprehensively train driving skills under various complex conditions, and it is more difficult to effectively evaluate the practical operation ability of a parametrier, so how to improve the daily training fidelity of the fire truck driver and perform effective skill evaluation on the driver is a problem to be solved urgently.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a virtual fire-fighting vehicle training system, a virtual fire-fighting vehicle training method, electronic equipment and a storage medium, which are used for solving the problems of improving the daily training fidelity of fire-fighting vehicle drivers and effectively evaluating the skills of the drivers.
In a first aspect of the present invention, there is provided a virtual fire engine training system comprising: the system comprises a theory learning module, a skill assessment module, an actual operation training module and a skill evaluation module;
the theory learning module is used for training the fire engine operation theory knowledge of the participant based on the prefabricated visual courseware content;
the skill assessment module is used for setting a plurality of virtual triggers based on the theoretical knowledge of the fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene;
the real operation training module is used for recording the assessment data of the training personnel based on a plurality of virtual triggers when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene;
and the skill evaluation module is used for evaluating the practical operation capability of the reference staff based on the assessment data.
On the basis of the technical scheme, the invention can also make the following improvements.
Preferably, the theoretical data of fire truck operation include: fire engine foundation, fire engine operating means, vehicle inspection and adjustment before driving and fire engine daily vehicle inspection.
Preferably, the pre-constructed 3D simulation virtual scene comprises a professional driving school scene and a modern city scene;
the special driving school scene comprises a special driving skill comprehensive training sub-scene, a straight driving training sub-scene, a narrow space turning training sub-scene, a reversing and warehousing training sub-scene, a continuous obstacle training sub-scene, a width-limited road driving training sub-scene, a lateral parking training sub-scene, a narrow road section training sub-scene and a driver road comprehensive special skill level training sub-scene;
including construction roads, static/dynamic objects, pedestrians and vehicles moving based on traffic rules.
Preferably, the assessment data includes: speed of the vehicle, overspeed time, overspeed maximum percentage, emergency handling, number of incidents, fire truck rescue equipment operation, tactical mission execution error rate, tactical mission execution efficiency, and turn signal operation.
Preferably, the types of the actual operation capability include: professional driving skills, tactical task performance, safety awareness, potential hazard predictability, and stress response capability.
Preferably, the assessment score x of the professional driving skill:
x＝100-a×2-b×1-c×0.5-d×1.5-e×2-f×1.5-g×1；
wherein x is a professional driving skill score, a is the time length of the vehicle leaving the road range, b is the time length of the vehicle not according to the marked line, c is the time length of the line pressing, d is the time length of error of gear shifting, e is the time length of starting the vehicle not in N gear, f is the time length of starting the vehicle not stopping the vehicle, and g is the time length of reverse driving;
assessment score y of tactical task performance:
y＝100-(h-i)/10；
wherein y is a professional driving skill score, h is a training time length, and i is a specified time length;
the assessment score z of the safety awareness:
z＝100-(j)×1-(k 2 )×1-(l 3 )×1；
wherein z is a professional driving skill score, j is the overspeed time of 0% -20%, k is the overspeed time of 20% -50%, and l is the overspeed time of 50%;
an assessment score m for the potential hazard predictive capability:
m＝100-o 2 ×3；
wherein m is a professional driving skill score, and o is the number of red light running times;
assessment score n of stress response ability:
n＝100-p 2 ×1；
where n is a professional driving skill score and p is the number of vehicle accidents.
Preferably, the evaluating the practical operation capability of the training staff based on the assessment data includes outputting the practical operation capability of the training staff based on a radar chart.
In a second aspect of the present invention, there is provided a virtual fire engine training method, comprising:
training the training personnel for the theoretical knowledge of fire truck operation based on the prefabricated visual courseware content;
setting a plurality of virtual triggers based on the theoretical knowledge of fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene;
recording the assessment data of the training personnel based on a plurality of virtual triggers when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene;
and evaluating the practical operation capability of the reference staff based on the assessment data.
In a third aspect of the present invention, there is provided an electronic device comprising a memory, a processor for implementing the steps of the virtual fire truck training method of the second aspect described above when executing a computer management class program stored in the memory.
In a fourth aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer management class program which when executed by a processor implements the steps of the virtual fire vehicle training method of the second aspect described above.
The invention provides a virtual fire-fighting vehicle training system, a virtual fire-fighting vehicle training method, electronic equipment and a storage medium, wherein the virtual fire-fighting vehicle training system comprises: the system comprises a theory learning module, a skill assessment module, an actual operation training module and a skill evaluation module. According to the invention, the theoretical learning module is used for training the theoretical knowledge of fire truck operation of the parametrics, and a virtual trigger is added in a pre-constructed 3D simulation virtual scene based on the theoretical knowledge of fire truck operation, so that the actual operation assessment data of the parametrics are recorded, and the actual operation ability of the parametrics is evaluated based on the actual operation assessment data; therefore, the combination of the 3D virtual scene and theoretical knowledge is realized, the traditional written training is changed into virtual driving, the reality of practical training is enhanced, and the virtual trigger is added in the 3D virtual scene to record the assessment score of the training personnel, so that the training effect and the practical training capability of the training personnel are effectively evaluated, and the comprehensive practical training capability of the fire-fighting vehicle drivers is greatly improved.
Drawings
FIG. 1 is a schematic diagram of a virtual fire truck training system according to the present invention;
FIG. 2 is a schematic diagram of a functional architecture of a virtual simulation system for driving training of a fire truck provided by the invention;
FIG. 3 is a schematic diagram of a real-time check module virtual simulation scene trigger position of the fire truck driving training virtual simulation system provided by the invention;
FIG. 4 is a schematic diagram of the virtual simulation subsystem and the architecture composition relationship of the fire truck driving training provided by the invention;
FIG. 5 is a logic diagram of a real-time simulation model provided by the present invention;
FIG. 6 is a schematic diagram of a motion system flow provided by the present invention;
FIG. 7 is a flow chart of a virtual fire truck training method provided by the invention;
fig. 8 is a schematic hardware structure of a possible electronic device according to the present invention;
fig. 9 is a schematic hardware structure of a possible computer readable storage medium according to the present invention.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
Most of the existing automobile driving simulators still stay in the primary stage, and only virtual simulation is carried out on a visual simulation system and an acoustic effect environment, but simulation of real-time motion states of a vehicle and simulation of an overall control system of the vehicle are lacked. Incomplete virtual simulation cannot achieve good effects from both driving experience and training effects. The virtual simulation of the special existing automobile driving simulator also lacks the dimension virtual simulation of the overall basic information of the vehicle, the safety information of the vehicle, the basic daily maintenance use of the vehicle and the like, and is incomplete from the aspect of the overall learning system of the automobile driving training; particularly in relation to virtual simulation training of fire-fighting vehicles, and more particularly in the absence of related products and solutions.
Based on the above-mentioned problems, the present embodiment provides a virtual fire-fighting vehicle training system, please refer to fig. 1, fig. 1 is a schematic diagram of a structure diagram of the virtual fire-fighting vehicle training system provided in the embodiment of the present invention, as shown in fig. 1, a virtual fire-fighting vehicle training system, including a theoretical learning module 100, a skill assessment module 200, an actual operation training module 300 and a skill evaluation module 400, wherein:
the theory learning module 100 is used for training the training personnel to carry out fire truck operation theory knowledge based on the prefabricated visual courseware content; the skill assessment module 200 is configured to set a plurality of virtual triggers in a pre-constructed 3D simulation virtual scene based on the theoretical knowledge of fire truck operation, so as to complete the construction of an assessment simulation scene; the real operation training module 300 is configured to record, based on a plurality of virtual triggers, assessment data of the training personnel when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene; the skill evaluation module 400 is configured to evaluate the practical operation capability of the reference staff based on the assessment data.
It can be appreciated that the content of the prefabricated visual courseware is the relevant courseware prepared for the training of the parametrics in advance and the subsequent examination items.
It should be understood that, in this embodiment, a 3D simulation virtual scene library is further included, and a system operator may select a corresponding 3D simulation virtual scene according to the visual courseware content, and set a virtual trigger in the 3D simulation virtual scene, where the virtual trigger is used to determine a scoring condition of a participant when the participant passes through the virtual trigger.
The visual courseware content can be visualized courseware content manufactured by Autodesk 3DS Mxa software, and comprises the content of a fire truck foundation, operation of a fire truck operation device, inspection and adjustment of a vehicle before driving, inspection of a daily vehicle of the fire truck and the like, and relevant knowledge points are explained by matching with the content of characters, voices and the like so as to achieve a good theoretical knowledge learning effect.
Specifically, the pre-constructed 3D simulation virtual scene may be a simulation virtual scene built through Unity 3D, including a professional driving school scene and a modern city scene; the special driving school scene comprises a special driving skill comprehensive training sub-scene, a straight driving training sub-scene, a narrow space turning training sub-scene, a reversing and warehousing training sub-scene, a continuous obstacle training sub-scene, a width-limited road driving training sub-scene, a lateral parking training sub-scene, a narrow road section training sub-scene and a driver road comprehensive special skill level training sub-scene; including construction roads, static/dynamic objects, pedestrians and vehicles moving based on traffic rules.
Further, in the real-operation training scene, the program simulates all building roads, static and dynamic objects, all other vehicles, personnel and the like on the roads intelligently follow the traffic rules, and all data of the main vehicle can be collected in real time, including operation and operation data of the main vehicle, operation data of auxiliary roles, azimuth data of the main vehicle and all rescue task participants, stereoscopic behavior data of the main vehicle, azimuth data of the main vehicle and the roads, azimuth data of the main vehicle and fire water source, azimuth data of the main vehicle and fire point and the like. See fig. 2 for the complete training hierarchy.
Further, the virtual trigger is a score of the actual operation of the training personnel, and the pre-constructed 3D simulated virtual scene position diagram can be seen in fig. 3, the digital mark is the virtual trigger, the black thick line is the road edge in the simulated virtual scene, the black thin line is the preset vehicle forward route in the virtual simulated virtual scene, and the black thin dotted line is the preset vehicle reverse route.
Furthermore, in addition to the fact that each virtual trigger is a collision body, after the vehicle makes physical contact with the trigger in the virtual scene, the program identifies signals and records the signals in the database, in the assessment process, the program can record the speed, overspeed time, overspeed maximum percentage, emergency treatment, accident number, fire truck rescue equipment operation, tactical task execution error rate, tactical task execution efficiency, steering lamps and other original values of a plurality of dimensions of the fire truck driver in real time in the assessment driving process, and assess related achievements of professional driving skills of the fire truck driver, fire truck equipment operation skills, tactical task execution capacity, safety awareness, potential danger prediction capacity and stress response capacity.
Further, the assessment results are calculated through specific score rules, and finally, five dimension assessment results are output in the form of a radar chart, and the output assessment results are objective, real and have reference value.
Further, the types of the above-mentioned actual operation capability include: professional driving skills, tactical task performance, safety awareness, potential hazard predictability, and stress response capability.
Further, the score calculation formula of the actual operation capability is as follows:
assessment score x of the professional driving skill:
x＝100-a×2-b×1-c×0.5-d×1.5-e×2-f×1.5-g×1；
wherein x is a professional driving skill score, a is the time length of the vehicle leaving the road range, b is the time length of the vehicle not according to the marked line, c is the time length of the line pressing, d is the time length of error of gear shifting, e is the time length of starting the vehicle not in N gear, f is the time length of starting the vehicle not stopping the vehicle, and g is the time length of reverse driving;
assessment score y of tactical task performance:
y＝100-(h-i)/10；
wherein y is a professional driving skill score, h is a training time length, and i is a specified time length;
the assessment score z of the safety awareness:
z＝100-(j)×1-(k 2 )×1-(l 3 )×1；
wherein z is a professional driving skill score, j is the overspeed time of 0% -20%, k is the overspeed time of 20% -50%, and l is the overspeed time of 50%;
an assessment score m for the potential hazard predictive capability:
m＝100-o 2 ×3；
wherein m is a professional driving skill score, and o is the number of red light running times;
assessment score n of stress response ability:
n＝100-p 2 ×1；
where n is a professional driving skill score and p is the number of vehicle accidents.
Further, in the training and checking process, real-time weather, temperature, humidity, visibility and other conditions in the checking scene can be adjusted by controlling simulation software in real time, so that extreme driving conditions in a real simulation environment are simulated, and the training difficulty and the training effect of the training personnel are improved.
It can be appreciated that based on the defects in the background art, the embodiment of the invention provides a virtual fire-fighting vehicle training system. The system comprises: the system comprises a theory learning module, a skill assessment module, an actual operation training module and a skill evaluation module. According to the invention, the theoretical learning module is used for training the theoretical knowledge of fire truck operation of the parametrics, and a virtual trigger is added in a pre-constructed 3D simulation virtual scene based on the theoretical knowledge of fire truck operation, so that the actual operation assessment data of the parametrics are recorded, and the actual operation ability of the parametrics is evaluated based on the actual operation assessment data; therefore, the combination of the 3D virtual scene and theoretical knowledge is realized, the traditional written training is changed into virtual driving, the reality of practical training is enhanced, and the virtual trigger is added in the 3D virtual scene to record the assessment score of the training personnel, so that the training effect and the practical training capability of the training personnel are effectively evaluated, and the comprehensive practical training capability of the fire-fighting vehicle drivers is greatly improved.
In a possible embodiment, the system of the embodiment further comprises a set of basic environment software, which is virtual simulation software for training the driving of the fire engine, wherein the software is based on the fire engine state, the traffic environment state, the road state and the driver state of the driver driving the real fire engine, and based on the Simulink development and building of an accurate simulation model from the whole closed loop of 'human-vehicle-traffic-environment', so as to realize the simulation of the fire engine state and the vision, hearing, motion feeling and touch of the driver, enable the driving experience to basically approach the fire engine, and achieve the 90% fitness in some aspects.
The virtual simulation software for the driving training of the fire-fighting vehicle comprises subsystems such as a real-time simulation system, a real-time simulation model, a visual simulation system, a virtual driving system, a general control system and the like, and the frame diagram of the virtual simulation software is shown in fig. 4.
The real-time simulation system is used as a center of the virtual simulation system for vehicle driving training, and is composed of a real-time processor, a real-time I/O board card, a signal conditioning board card and a power supply system, wherein the power supply system is responsible for supplying power to the whole real-time simulation platform, the real-time I/O board card is responsible for collecting signals in real time, receiving real-time external signals (position, temperature, speed, torque, angle, weight and the like), the I/O board card integrated library receives the data, converts the data into a real-time processor chip program for analysis and judgment, then outputs instruction data to the real-time I/O board card, and the IO board converts or amplifies the received data and outputs the data to other systems.
The real-time simulation models include a vehicle dynamics model, a road model, an environment model, a driver model, and a sensor model. Parameters such as vehicles, roads, traffic environments, drivers, weather, temperature and the like can be set through the parameter setting interface, so that various requirements are met. The real-time simulation model also realizes the simulation of the running environment of the vehicle, controls the motion of the motion platform and the state of the three-dimensional real-time animation, and the logic diagram of the simulation model is shown in fig. 5.
The vehicle dynamics model mainly comprises a vehicle body system model, a chassis system model, a tire system model, a power transmission system model and an aerodynamic model, has the capability of solving in real time, and can also provide vehicle dynamics information for a motion platform and a traffic environment view.
By way of example, road traffic models include various test roads, and users can design new roads in the road models, such as high-grade roads, low-grade roads, split roads, butt-joint roads, straight roads, circumferential roads, ramps, and the like. The simulation working conditions which can be met include working conditions of changing the friction coefficient of the road surface, uphill and downhill working conditions and simulation of containing holes in the road surface.
For example, driver behavior may be achieved by adjusting characteristics of the person, such as experience, desire to spontaneously avoid risk, response, and pretightening, or by directly setting controller parameters. The user may access the parameters of different drivers in the driver database directly or through a Simulink interface. In this way, the user may define controller behavior to alter simulation effects or affect vehicle state variables.
By way of example, the driver model simulates various types of operation of a real driver, and can simulate steering operation, braking operation, acceleration operation and gear shifting operation of the driver in real time.
Illustratively, the traffic environment model is designed to simulate a traffic environment. Different traffic scenarios include several co-road vehicles and several obstacles that can be conveniently deployed. The transportation vehicle supports various driving tasks such as triggered speed change, lane change or a combination of these actions, provides the possibility of pre-selecting the traffic environment, provides a graphical user interface for setting most important parameters (speed and distance) required for a specific scene, and can set all parameters including the vehicle type, driving task and animated shape and color, etc.
The motion system in fig. 4 moves under the detection and control of the real-time simulation system, and first, the driver senses the running state of the vehicle through the vision simulation system and makes corresponding control actions. The real-time simulation system receives the control actions and performs operation to obtain expected dynamic motion parameters, such as yaw motion. The motion parameters are transmitted to a motion control computer, and the motion computer calculates the motion parameters (the displacement of the electric cylinders) of the 6 electric cylinders through inverse kinematics. The motion computer drives 6 servo drivers according to the motion parameters of 6 electric cylinders and the displacement feedback quantity of 6 electric cylinders to realize closed-loop position control of 6 electric cylinders, so that the 6 electric cylinders reach the required displacement quantity, and then the dynamic platform reaches the expected motion gesture to realize dynamic driving simulation, and the flow chart of the dynamic platform is shown in fig. 6.
Further, because the motion range of the motion platform of the driving simulator is limited, the real motion trail of the simulated object cannot be completely reproduced, and a wash-out filtering algorithm is needed, the real motion of the simulated object is converted into a signal which can be realized by the simulator under the condition that the feeling of a driver is not influenced as much as possible. The basic principle of the wash-out filtering algorithm is: the high-frequency component in the actual motion acceleration is realized by the motion acceleration of the motion platform, the low-frequency component in the actual motion acceleration is realized by the inclination of the motion platform, and the sum of the high-frequency component and the low-frequency component is close to the actual motion. During normal driving of the vehicle, 85% of the longitudinal and lateral accelerations are distributed within 0.3g, and the system aims to meet this criterion.
Further, the real-time simulation model is built through a Display module, a To work space module, a To file module and a Stop position module.
Illustratively, a Display module is provided in the Simulink library, which is capable of displaying the instant value transferred in the signal line connected to the latest simulation time, but does not record the value of the whole simulation process. The module has 1 input port. The Display module may receive one-dimensional and multi-dimensional signals.
Illustratively, corresponding To From workspaces, the Simulink provides another To workspaces module To store simulation data directly into the MATLAB Workspace at the end of model simulation, with the output data being of 3 types, timeframes, matrix or structure types. simout has 1 input port and displays variable names stored in the workspace into the workspace.
Illustratively, the Simulink provides a To File module corresponding To the From File module, which can store simulation data of the model into the mat File. The To File module has 1 input port, and the name of the storage object File is displayed in the module icon.
Illustratively, the Simulink model may use a stop button of the toolbar to stop the simulation during the simulation. This stopping is manual, and since the simulation speed is generally fast, a person cannot stop exactly at a certain simulation time. The Simulink library provides a Stop Simulation module that stops model Simulation once a non-zero signal is received. The module has no parameters and only the explanatory text of the module is displayed in the parameter dialog box.
Further, the visual simulation system in fig. 4 is composed of a graphics workstation, a display system, a sound system, and a three-dimensional real-time animation. The system receives the operation of the real-time simulation system, can obtain the running state data of the vehicle, adjusts the motion state of a video camera of the visual simulation system, reflects the three-dimensional scene in real time on the display system through visual rendering, and simulates the real driving road condition. The system can also call different types of sound special effects in the sound library according to the running state of the vehicle, and simulate various sounds in the running process of the vehicle, such as engine sound, ignition sound, wind resistance sound and the like through the sound system.
Further, the virtual driving system in fig. 4 is a man-machine interaction platform of the driving simulator, and mainly comprises a motion system, a virtual cockpit/control component and a target controller. The current mainstream of the motion system is a six-degree-of-freedom electric platform, so that the simulation of 'human-vehicle-environment' is realized.
Further, the overall control system in fig. 4 is composed of an overall control computer, test management software and test monitoring software, and controls and monitors the operation state of the entire system. The overall control system functions as: parameterizing the download model and defining the simulation working condition of the download model; compiling and downloading a model; a control function of the real-time simulation platform; recording and backing up parameter data required by the simulation process; running a real-time model and extracting related parameters; and operating the vehicle to run through the virtual control.
In the embodiment, the basic matched software in the system of the embodiment is provided, a plurality of simulation systems are integrated, each associated factor in the driving process of the vehicle is simulated through simulation operation, the reality and instantaneity of the driving simulation are enhanced, the virtual simulation degree of the driving simulation is greatly improved, and the driving simulation system with higher simulation degree and man-machine interaction is developed through building the real simulation environment of traffic elements such as vehicles, roads, buildings, traffic lights, pedestrians, signboards and the like based on the virtual engine visual simulation technology. The basic matched software realizes simulation of the states of the fire-fighting vehicles and the visual sense, the auditory sense, the motor sense and the touch sense of a driver by developing and constructing an accurate simulation model based on Simulink, so that the driving experience basically approaches to the fire-fighting vehicles, and can reach 90% of fitness in certain aspects.
Referring to fig. 7, fig. 7 is a flowchart of a training method for a virtual fire-fighting vehicle, as shown in fig. 7, where the method includes:
step S100: training the training personnel for the theoretical knowledge of fire truck operation based on the prefabricated visual courseware content;
it should be noted that, the execution body of the method of this embodiment may be a computer terminal device having functions of data processing, network communication, and program running, for example: computers, tablet computers, etc.; the present embodiment is not limited to this, and may be a server device having the same similar function, or may be a cloud server having a similar function. For ease of understanding, this embodiment and the following embodiments will be described by taking a server device as an example.
Step S200: setting a plurality of virtual triggers based on the theoretical knowledge of fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene;
step S300: recording the assessment data of the training personnel based on a plurality of virtual triggers when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene;
step S400: and evaluating the practical operation capability of the reference staff based on the assessment data.
It can be understood that the virtual fire-fighting vehicle training method provided by the present invention corresponds to the virtual fire-fighting vehicle training system provided in the foregoing embodiments, and the relevant technical features of the virtual fire-fighting vehicle training method may refer to the relevant technical features of the virtual fire-fighting vehicle training system, which are not described herein.
Referring to fig. 8, fig. 8 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the invention. As shown in fig. 8, an embodiment of the present invention provides an electronic device including a memory 1310, a processor 1320, and a computer program 1311 stored on the memory 1310 and executable on the processor 1320, the processor 1320 implementing the following steps when executing the computer program 1311:
training the training personnel for the theoretical knowledge of fire truck operation based on the prefabricated visual courseware content; setting a plurality of virtual triggers based on the theoretical knowledge of fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene; when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene, the assessment data of the training personnel are recorded based on a plurality of virtual triggers; and evaluating the practical operation capability of the reference staff based on the assessment data.
Referring to fig. 9, fig. 9 is a schematic diagram of an embodiment of a computer readable storage medium according to the present invention. As shown in fig. 9, the present embodiment provides a computer-readable storage medium 1400 on which is stored a computer program 1411, which computer program 1411, when executed by a processor, implements the steps of:
training the training personnel for the theoretical knowledge of fire truck operation based on the prefabricated visual courseware content; setting a plurality of virtual triggers based on the theoretical knowledge of fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene; when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene, the assessment data of the training personnel are recorded based on a plurality of virtual triggers; and evaluating the practical operation capability of the reference staff based on the assessment data.
The embodiment of the invention provides a virtual fire-fighting vehicle training system, a virtual fire-fighting vehicle training method, electronic equipment and a storage medium, wherein the virtual fire-fighting vehicle training system comprises: the system comprises a theory learning module, a skill assessment module, an actual operation training module and a skill evaluation module. According to the invention, the theoretical learning module is used for training the theoretical knowledge of fire truck operation of the parametrics, and a virtual trigger is added in a pre-constructed 3D simulation virtual scene based on the theoretical knowledge of fire truck operation, so that the actual operation assessment data of the parametrics are recorded, and the actual operation ability of the parametrics is evaluated based on the actual operation assessment data; therefore, the combination of the 3D virtual scene and theoretical knowledge is realized, the traditional written training is changed into virtual driving, the reality of practical training is enhanced, and the virtual trigger is added in the 3D virtual scene to record the assessment score of the training personnel, so that the training effect and the practical training capability of the training personnel are effectively evaluated, and the comprehensive practical training capability of the fire-fighting vehicle drivers is greatly improved.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. A virtual fire vehicle training system, the system comprising: the system comprises a theory learning module, a skill assessment module, an actual operation training module and a skill evaluation module;
the theory learning module is used for training the fire engine operation theory knowledge of the participant based on the prefabricated visual courseware content;
the skill assessment module is used for setting a plurality of virtual triggers based on the theoretical knowledge of the fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene;
the real operation training module is used for recording the assessment data of the training personnel based on a plurality of virtual triggers when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene;
and the skill evaluation module is used for evaluating the practical operation capability of the reference staff based on the assessment data.
2. The virtual fire engine training system of claim 1, wherein the theoretical knowledge of fire engine operation comprises: fire engine foundation, fire engine operating means, vehicle inspection and adjustment before driving and fire engine daily vehicle inspection.
3. The virtual fire vehicle training system of claim 1, wherein the pre-constructed 3D simulated virtual scenes include professional driving school scenes and modern city scenes;
the special driving school scene comprises a special driving skill comprehensive training sub-scene, a straight driving training sub-scene, a narrow space turning training sub-scene, a reversing and warehousing training sub-scene, a continuous obstacle training sub-scene, a width-limited road driving training sub-scene, a lateral parking training sub-scene, a narrow road section training sub-scene and a driver road comprehensive special skill level training sub-scene;
including construction roads, static/dynamic objects, pedestrians and vehicles moving based on traffic rules.
4. The virtual fire vehicle training system of claim 1, wherein the assessment data comprises: speed of the vehicle, overspeed time, overspeed maximum percentage, emergency handling, number of incidents, fire truck rescue equipment operation, tactical mission execution error rate, tactical mission execution efficiency, and turn signal operation.
5. The virtual fire vehicle training system of claim 1, wherein the type of real estate comprises: professional driving skills, tactical task performance, safety awareness, potential hazard predictability, and stress response capability.
6. The virtual fire vehicle training system of claim 1, wherein the evaluating the actual performance of the participant based on the assessment data comprises outputting the actual performance of the participant based on a radar map.
7. A virtual fire vehicle training method, comprising:
training the training personnel for the theoretical knowledge of fire truck operation based on the prefabricated visual courseware content;
setting a plurality of virtual triggers based on the theoretical knowledge of fire truck operation in the pre-constructed 3D simulation virtual scene to finish the construction of the assessment simulation scene;
recording the assessment data of the training personnel based on a plurality of virtual triggers when the training personnel performs real operation on the theoretical knowledge of the fire truck operation through the assessment simulation scene;
and evaluating the practical operation capability of the reference staff based on the assessment data.
8. An electronic device comprising a memory, a processor for implementing the steps of the virtual fire vehicle training method of claim 7 when executing a computer management class program stored in the memory.
9. A computer readable storage medium, having stored thereon a computer management class program which when executed by a processor performs the steps of the virtual fire vehicle training method of claim 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311755936.0A CN117496790A (en) | 2023-12-18 | 2023-12-18 | Virtual fire-fighting vehicle training system, virtual fire-fighting vehicle training method, electronic device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311755936.0A CN117496790A (en) | 2023-12-18 | 2023-12-18 | Virtual fire-fighting vehicle training system, virtual fire-fighting vehicle training method, electronic device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117496790A true CN117496790A (en) | 2024-02-02 |
Family
ID=89678451
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311755936.0A Pending CN117496790A (en) | 2023-12-18 | 2023-12-18 | Virtual fire-fighting vehicle training system, virtual fire-fighting vehicle training method, electronic device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117496790A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117932368A (en) * | 2024-03-22 | 2024-04-26 | 潍坊市平安消防工程有限公司 | Fire-fighting equipment operator real-operation management system and method |
-
2023
- 2023-12-18 CN CN202311755936.0A patent/CN117496790A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117932368A (en) * | 2024-03-22 | 2024-04-26 | 潍坊市平安消防工程有限公司 | Fire-fighting equipment operator real-operation management system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108803607B (en) | Multifunctional simulation system for automatic driving | |
| CN110427682B (en) | Traffic scene simulation experiment platform and method based on virtual reality | |
| CN107221222A (en) | A kind of multi-mode driving analog system and its assessment method evaluated towards work efficiency | |
| CN109887372A (en) | Driving training analogy method, electronic equipment and storage medium | |
| Ropelato et al. | Adaptive tutoring on a virtual reality driving simulator | |
| CN105068857B (en) | A kind of driving behavior data capture method based on high fidelity driving simulator | |
| CN117496790A (en) | Virtual fire-fighting vehicle training system, virtual fire-fighting vehicle training method, electronic device and storage medium | |
| CN113962019A (en) | Intelligent driving automobile safety protection system based on virtual reality technology | |
| CN113918615A (en) | Simulation-based driving experience data mining model construction method and system | |
| CN110930811B (en) | System suitable for unmanned decision learning and training | |
| CN114296424B (en) | Simulation test system and method | |
| JP2024507998A (en) | Method for testing vehicle driver assistance systems | |
| Chen et al. | NADS at the University of IOWA: A tool for driving safety research | |
| CN110501167A (en) | System for executing the simulated crash scene of motor vehicles and non-motor vehicle road user | |
| CN113867175B (en) | Rail transit model creation method, device, computer equipment and storage medium | |
| Yoshimoto et al. | The history of research and development of driving simulators in Japan | |
| CN114969092A (en) | Driving simulation system based on unreal engine and simulation experiment method | |
| CN212933831U (en) | Rail transit analog simulation teaching equipment | |
| JP3782024B2 (en) | Driving training system using driving simulator | |
| JP2024507997A (en) | Method and system for generating scenario data for testing vehicle driver assistance systems | |
| Bazilinskyy et al. | Eye movements while cycling in GTA V | |
| CN110942700A (en) | Motor car simulation driving system based on virtual reality | |
| CN114547835A (en) | Unmanned test method, equipment and storage medium based on digital twinning | |
| Čulík et al. | Creating a virtual environment for practical driving tests | |
| Zhmud et al. | Critical technologies in the cluster of virtual and augmented reality |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |