CN111552382B - VR (virtual reality) compressed natural gas tank car accident handling teaching decision method, device and equipment - Google Patents
VR (virtual reality) compressed natural gas tank car accident handling teaching decision method, device and equipment Download PDFInfo
- Publication number
- CN111552382B CN111552382B CN202010334279.2A CN202010334279A CN111552382B CN 111552382 B CN111552382 B CN 111552382B CN 202010334279 A CN202010334279 A CN 202010334279A CN 111552382 B CN111552382 B CN 111552382B
- Authority
- CN
- China
- Prior art keywords
- operator
- operation instruction
- assembly
- tank car
- information
- 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.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Alarm Systems (AREA)
- Fire-Extinguishing By Fire Departments, And Fire-Extinguishing Equipment And Control Thereof (AREA)
Abstract
The present disclosure provides VR-based compressed natural gas tank car accident handling teaching and decision-making aid methods, apparatus, and devices, the method comprising: constructing a compressed natural gas tank car accident occurrence component and an accident handling component in a VR field of view; acquiring first operator information, configuring a first simulation scene based on the first operator, and receiving an operation instruction of the first operator for training; acquiring second operator information, configuring a second simulation scene based on the second operator, and receiving an operation instruction of the second operator for training; when the operation training of the first operator meets the preset condition, the first operator is converted into a second operator. The training method which is vivid, safe, repeatable and low in consumption is provided, the fire fighting level is greatly improved, and the personal and property safety of people and the clean and healthy environment are better ensured in the actual accident treatment.
Description
Technical Field
The disclosure relates to the technical field of computers, in particular to a teaching decision method, a device and equipment for handling accidents of a VR compressed natural gas tank car.
Background
With the steady progress of national economy, the chemical industries such as petrochemical industry, coal chemical industry, fine chemical industry and the like in China are vigorously developed, and the rapid increase of the transportation quantity of chemical raw materials, intermediate products and finished products is driven. Tank trucks carrying large volumes of hazardous chemicals shuttle in the north and south of the large river of the country. According to incomplete statistics, tens of thousands of dangerous chemical tank cars are on the road every day in the country, which brings great risks and rescue pressure to emergency departments, especially fire-fighting rescue departments. Especially Compressed Natural Gas (CNG) tank trucks are numerous and have high accident probability. The tank truck fire-fighting training exercise is used for enhancing the safety and fireproof consciousness, so that people can further know and master the processing flow of the fire disaster, the coordination and coordination capacity in the emergency processing process is improved, and the accident handling capacity of firefighters in the fire disaster is enhanced.
The existing training exercise method mainly comprises the following steps:
first, in-field physical training mode: the fire training teaching mode mostly adopts a real vehicle or model vehicle mode to train in the field. The field training has many advantages, but has the advantages of limited field, high training cost, environmental pollution, incapability of reproduction and great difficulty in repeated training.
Second, video teaching mode: the method has the advantages that the purposes of knowing the tank car structure and handling the tank car accident are achieved by recording the Compressed Natural Gas (CNG) tank car handling steps and the handling method videos and repeatedly watching, but the defects that the operation in person is not intuitive and the like exist.
Disclosure of Invention
The disclosure aims to provide a VR compressed natural gas tank car accident handling teaching decision method, device and equipment, which can solve at least one technical problem mentioned above. The specific scheme is as follows:
according to a specific embodiment of the present disclosure, in a first aspect, the present disclosure provides a VR compressed natural gas tank car accident handling teaching decision method, comprising:
constructing a compressed natural gas tank car accident occurrence assembly and an accident handling assembly in a VR view field, wherein the accident occurrence assembly comprises a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin and a rear-end operation cabin, and the accident handling assembly comprises a fire truck assembly, a warning assembly, a heat insulation suit assembly, an air respirator assembly, a water gun assembly, a valve assembly and a crane assembly;
acquiring first operator information, configuring a first simulation scene based on the first operator information, and receiving an operation instruction of a first operator in the first simulation scene, wherein the operation instruction of the first operator is used for training the first operator so that the first operator can process accidents in a VR scene;
Acquiring second operator information, configuring a second simulation scene based on the second operator information, and receiving an operation instruction of a second operator in the second simulation scene, wherein the operation instruction of the second operator is used for training the second operator so that the second operator can process accidents in a VR scene;
the first operator is converted into the second operator when a preset condition is met.
Optionally, the configuring the first simulation scenario includes:
configuring a tank car structural parameter and a physical parameter of a tank car cargo, wherein the tank car structural parameter comprises at least one of: semitrailer, frame, large-capacity seamless steel bottle, front end safety cabin, rear end operation cabin, the physical parameters of tank car cargo include at least one of the following: main components, physicochemical properties, density, explosion limit and boiling point; inputting the structural parameters of the tank car and the physical parameters of the tank car carrying objects into an early warning model, judging the current state of the tank car according to the early warning model, and sending out an alarm signal when the early warning model exceeds a first threshold value;
the receiving, in the first simulation scenario, an operation instruction of a first operator, where the operation instruction of the first operator is used to train the first operator, so that the first operator can process an accident in a VR scenario, and the method includes:
In the first simulation scene, according to the alarm signal, an operation instruction of a first operator is received, and fault investigation training is performed according to the operation instruction, so that the first operator can process accidents in a VR scene.
Optionally, the early warning model includes:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, B k Parameters for inputting the early warning model are represented, and the parameters comprise a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin, a rear-end operation cabin, main components, physicochemical properties, density, explosion limit and boiling point; a, a k The weight coefficients of the corresponding parameters in the early warning model are represented, and different weight coefficients are adopted for different model parameters; r is the calculation result of the alarm model.
Optionally, the receiving the operation instruction of the first operator according to the alarm signal, and performing the fault detection training according to the operation instruction includes: displaying the alarm signal sent by the early warning model through a head-wearing VR; the operation instruction of a first operator is acquired through the positioning and tracking handle and/or the head-mounted VR, and the accident handling component displayed in the VR view field is controlled according to the operation instruction, so that the troubleshooting training is completed.
Optionally, the acquiring, by the positioning and tracking handle and/or the headset VR, the operation instruction of the first operator includes: acquiring prompt information in a VR visual field, wherein the prompt information comprises voice prompt information and/or text prompt information; based on the prompt information, the action parameters of the first operator are obtained through positioning the tracking handle and/or the head-mounted VR, and an operation instruction is formed based on the action parameters.
Optionally, the method further comprises: transmitting the operation instructions into the VR field of view, the operation instructions for performing at least one of:
selecting a water tank fire truck, an urban main warfare fire truck, a foam water tank fire truck or an emergency rescue truck in the VR view field, and gathering the water tank fire truck, the urban main warfare fire truck, the foam water tank fire truck or the emergency rescue truck at a first distance from the tank truck;
setting a warning module at a second distance from a vehicle collecting point, dividing a warning area into a heavy-risk area, a medium-risk area, a light-risk area and a safety area, and setting a warning sign;
wearing a heat shield assembly and an air respirator assembly in a VR field of view;
opening a spray gun assembly and a water curtain gun assembly in a VR view field;
in the VR field of view, in the event of a non-fire, closing the valve of the non-leaking canister; in case of fire, the valve of the non-fire tank is closed first;
In the VR view field, plugging is carried out by using a wooden wedge assembly, a strong magnetic assembly or a cap assembly;
in the VR field of view, the tanker is hoisted using a crane.
Optionally, the configuring a second simulation scenario based on the second operator information includes:
based on the second operator information, tank car status information and external environment information are configured, wherein the tank car status information comprises: 90 degrees of side turning, 180 degrees of side turning and normal position leakage, external environment information includes: wind direction, wind force, rainy day and sunny day;
the receiving, in the second simulation scenario, an operation instruction of a second operator, where the operation instruction of the second operator is used to train the second operator, includes:
receiving an operation instruction of a second operator, inputting the operation instruction of the second operator, tank car state information and external environment information into a decision tree model, and judging a training state according to the decision tree model.
Optionally, the decision tree model includes:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, PK represents a probability factor of whether the operation information of the second operator, the tank car state information, and the external environment information occur, and H represents a training result entropy obtained according to the decision tree model.
According to a second aspect of the present disclosure, there is provided a VR-based compressed natural gas tank car accident handling teaching and aid decision making apparatus comprising:
the construction unit is used for constructing a compressed natural gas tank truck accident occurrence assembly and an accident handling assembly in a VR view field, wherein the accident occurrence assembly comprises a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin and a rear-end operation cabin, and the accident handling assembly comprises a fire truck assembly, a warning assembly, a heat insulation suit assembly, an air respirator assembly, a water gun assembly, a valve assembly and a crane assembly;
the first acquisition unit is used for acquiring first operator information, configuring a first simulation scene based on the first operator information, and receiving an operation instruction of a first operator in the first simulation scene, wherein the operation instruction of the first operator is used for training the first operator so that the first operator can process accidents in a VR scene;
the second acquisition unit is used for acquiring second operator information, configuring a second simulation scene based on the second operator information, and receiving an operation instruction of a second operator in the second simulation scene, wherein the operation instruction of the second operator is used for training the second operator so that the second operator can process accidents in a VR scene;
The first operator is converted into the second operator when a preset condition is met.
According to a third aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method as claimed in any one of the above.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: one or more processors; storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of any of the preceding claims.
Compared with the prior art, the scheme of the embodiment of the disclosure has at least the following beneficial effects: the utility model provides a compressed natural gas tank wagon accident handling teaching and auxiliary decision-making method and device based on VR, this method combines VR virtual reality technique, various disaster and dangerous situations that virtual danger article tank wagon probably appear, the trainee can roam and know the detailed information of disaster in the scene with first person's perspective, submerge in danger article accident space environment, utilize information such as position, gesture that computer sensor transmitted, handle various accident scenes that appear, promote virtual scene's authenticity and infectivity. The training method which is vivid, safe, repeatable and low in consumption is provided, the fire fighting level is greatly improved, and the personal and property safety of people and the clean and healthy environment are better ensured in the actual accident treatment.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort. In the drawings:
FIG. 1 illustrates an accident training method flow diagram according to an embodiment of the present disclosure;
FIG. 2 illustrates an incident training module build schematic in accordance with an embodiment of the present disclosure;
FIG. 3 illustrates a schematic view of an accident training apparatus scene structure according to an embodiment of the present disclosure;
FIG. 4 illustrates an incident processing flow diagram according to an embodiment of the present disclosure;
FIG. 5 illustrates a training decision tree building schematic in accordance with an embodiment of the present disclosure;
FIG. 6 illustrates a schematic view of an accident training apparatus framework in accordance with an embodiment of the present disclosure;
FIG. 7 shows a schematic view of an accident training apparatus according to an embodiment of the present disclosure;
fig. 8 illustrates an electronic device connection structure schematic according to an embodiment of the present disclosure.
Detailed Description
For the purpose of promoting an understanding of the principles and advantages of the disclosure, reference will now be made in detail to the drawings, in which it is apparent that the embodiments described are only some, but not all embodiments of the disclosure. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
The terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure of embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe … … in the presently disclosed embodiments, these … … should not be limited to these terms. These terms are only used to distinguish … …. For example, the first … … may also be referred to as the second … …, and similarly the second … … may also be referred to as the first … …, without departing from the scope of the disclosed embodiments.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or device comprising such element.
Alternative embodiments of the present disclosure are described in detail below with reference to the drawings.
As shown in fig. 1, according to a specific embodiment of the present disclosure, the present disclosure provides a VR-based compressed natural gas tank car accident handling teaching and aid decision making method, comprising the method steps of:
step S102: a Compressed Natural Gas (CNG) tank car accident assembly and an accident handling assembly are constructed in a VR field of view, wherein the accident handling assembly comprises a semitrailer, a frame, a large volume seamless steel cylinder, a front end safety compartment and a rear end operating compartment, and the accident handling assembly comprises a fire truck assembly, a warning assembly, a heat shield assembly, an air respirator assembly, a water gun assembly, a valve assembly and a crane assembly.
3D modeling is carried out on each part by completely disassembling the compressed natural gas tank wagon structure, and the association relation between the models is set to construct a static model; an operational motion model member is provided for the operational components, such as a fire truck assembly, a warning assembly, a heat shield assembly, an air respirator assembly, a water gun assembly, a valve assembly, and a crane assembly.
Triggering the tank car action to construct a model according to the position, action and posture information in the real scene of the trained personnel, obtaining an operation result through model operation, and displaying through a first view angle.
Step S104: acquiring first operator information, configuring a first simulation scene based on the first operator information, and receiving an operation instruction of a first operator in the first simulation scene, wherein the operation instruction of the first operator is used for training the first operator so that the first operator can process accidents in a VR scene.
In this step, under the VR scene, the training module under the VR field is operated to learn and train by obtaining the action parameters of the operator, so as to simulate the key technical tactics such as force adjustment, surrounding warning, close range reconnaissance, safety protection, injection dilution, valve closing, plugging and lifting in the actual accident, as shown in fig. 2.
Optionally, first operator information is acquired, a first simulation scene is configured based on the first operator information, an operation instruction of a first operator is received in the first simulation scene, and the operation instruction of the first operator is used for training the first operator, so that the first operator can process the accident in the VR scene. Comprising:
step S104-1: the first operator information is acquired, the first operator logs in the system by inputting personal ID and the like, the system automatically recognizes the identity of the first operator according to the ID of the first operator, for example, the first operator can be a learner who performs learning training, and the learner does not have accident handling capability at the moment.
Step S104-2: configuring a first simulation scene: obtaining a tank car structural parameter and a physical parameter of a tank car cargo, wherein the tank car structural parameter comprises at least one of: semitrailer, frame, large-capacity seamless steel bottle, front end safety cabin, rear end operation cabin, the physical parameters of tank car cargo include at least one of the following: main components, physicochemical properties, density, explosion limit and boiling point;
inputting the structural parameters of the tank car and the physical parameters of the tank car carrying objects into an early warning model, judging the current state of the tank car according to the early warning model, and sending out an alarm signal when the early warning model exceeds a first threshold value;
step S104-3: and acquiring an operation instruction of a first operator according to the alarm signal, and performing fault investigation training according to the operation instruction.
Optionally, the early warning model includes:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, B k Parameters for inputting the early warning model are represented, and the parameters comprise a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin, a rear-end operation cabin, main components, physicochemical properties, density, explosion limit and boiling point; a, a k The weight coefficients of the corresponding parameters in the early warning model are represented, and different weight coefficients are adopted for different model parameters; r is the calculation result of the alarm model. Reaching a threshold is an alarm condition, e.g., R is within 10 is safe, and an alarm is raised above 10.
Optionally, the acquiring, according to the alarm signal, an operation instruction of a first operator, and performing troubleshooting training according to the operation instruction, includes:
step S104-4-1: displaying the alarm signal sent by the early warning model through a head-wearing VR;
step S104-4-2: acquiring an operation instruction of a first operator through a positioning tracking handle and/or a head-mounted VR;
step S104-4-3: and controlling an accident handling component displayed in the VR view field according to the operation instruction to complete the troubleshooting training.
Optionally, the acquiring, by the positioning and tracking handle and/or the headset VR, the operation instruction of the first operator includes:
step S104-4-2-1: acquiring prompt information in a VR visual field, wherein the prompt information comprises voice prompt information and/or text prompt information;
step S104-4-2-2: based on the prompt information, the action parameters of the first operator are obtained through positioning the tracking handle and/or the head-mounted VR, and an operation instruction is formed based on the action parameters.
The specific implementation device is shown in fig. 3, and comprises 1) a space positioning base station 1, which is used for tracking and positioning the accurate position of the head-mounted VR equipment in space, is a basis for realizing mapping from real space positioning to virtual real space, and deploys the number of positioning base stations according to the space size so as to realize accurate positioning of each part of a trainee. 2) The head-mounted display 2 is used for amplifying an image on an ultra-micro display screen through a group of optical systems, projecting the image on retina, and realistically displaying an object in front of eyes through a 3D rendering technology, so that a virtual reality function is realized. 3) The positioning and tracking handle 3 is used for positioning hand motions and realizing various motion capturing functions in virtual implementation. 4) The upper computer 4 is used for receiving the positioning signals and rendering the tank car model system in the virtual reality in real time, and responds to real-time change of actions in the virtual reality according to the positioning feedback. 5) The tank car model 5 is a tank car model in a virtual space, and has the size, weight, components and liquid-gas phase composition and properties of a real tank car, and if the tank car is improperly operated, accidents such as explosion and the like can be caused in virtual reality, so that model reasoning support is provided for practical training and auxiliary decision making.
Optionally, the method further comprises: transmitting the operation instructions into the VR field of view, the operation instructions for performing at least one of:
selecting a water tank fire truck, an urban main warfare fire truck, a foam water tank fire truck or an emergency rescue truck in the VR view field, and gathering the water tank fire truck, the urban main warfare fire truck, the foam water tank fire truck or the emergency rescue truck at a first distance from the tank truck;
setting a warning module at a second distance from a vehicle collecting point, dividing a warning area into a heavy-risk area, a medium-risk area, a light-risk area and a safety area, and setting a warning sign;
wearing a heat shield assembly and an air respirator assembly in a VR field of view;
opening a spray gun assembly and a water curtain gun assembly in a VR view field;
in the VR field of view, in the event of a non-fire, closing the valve of the non-leaking canister; in case of fire, the valve of the non-fire tank is closed first;
in the VR view field, plugging is carried out by using a wooden wedge assembly, a strong magnetic assembly or a cap assembly;
in the VR field of view, the tanker is hoisted using a crane.
Specifically, as shown in fig. 4, the following operations are completed in the training learning process:
1) Force adjustment stage: VR simulation can go out of a water tank fire truck, an urban main warfare fire truck, a foam water tank fire truck and an emergency rescue truck, and is accumulated at an upper air port which is 1000 meters away from an accident vehicle.
2) Surrounding alert around accident VR simulated soft alert: setting an alert at 1000 meters outside the vehicle collecting point, dividing an alert area into a heavy danger area, a medium danger area, a light danger area and a safety area, and setting an alert mark; simulating hard warning: the road surface is blocked by the vehicle, and two people are kept for cooperation warning.
3) And (3) performing short-range investigation, namely performing VR simulation, using an instrument or observing and detecting the leakage position, shape, concentration and range of the tank truck in the field, and trapping personnel. And observing the surrounding information of the accident, and judging whether a shelter can be found.
4) Safety protection, namely VR simulation wearing heat insulation clothing and air respirator. If leakage occurs, heavy protective clothing and air respirators are worn.
5) And diluting, namely diluting leaked gas by utilizing mist water discharged by the VR simulation spray water gun and the water curtain water gun.
6) And closing the valve, namely closing the valve of the non-leakage tank by VR simulation under the non-ignition condition. If fire happens, the valve of the non-fire tank is closed first.
7) The plugging VR simulation utilizes wood wedges, strong magnetism, caps, and other plugging tools to plug the leak.
8) And (3) hoisting, namely hoisting the tank truck by using a crane in VR simulation. The hoisting tank car needs to be continuously cooled, and the rope needs to be brushed with butter before hoisting.
Step S106: acquiring second operator information, configuring a second simulation scene based on the second operator information, and receiving an operation instruction of a second operator in the second simulation scene, wherein the operation instruction of the second operator is used for training the second operator so that the second operator can process accidents in a VR scene; the first operator is converted into the second operator when a preset condition is met.
Optionally, the second operator obtains information of the second operator, logs in the system by inputting personal ID and the like, and the system automatically identifies the identity of the second operator according to the ID of the second operator, for example, the second operator can be a student performing actual combat training, the student performing actual combat training is a student who reaches a certain grade after training by learning training, for example, after training by step S104, the accident disposing success rate reaches 80%. The actual combat training students have the ability to handle accidents, and can further train the handling ability through the VR system.
As shown in fig. 5, based on the second simulation scenario configured by the second operator, receiving an operation instruction of the second operator for training, including: acquiring second operator information, acquiring operation information of a second operator, and configuring a second simulation scene includes: tank car status information and external environment information, wherein the tank car status information comprises: 90 degrees of side turning, 180 degrees of side turning and normal position leakage, external environment information includes: wind direction, wind force, rainy day and sunny day; and inputting the operation information of the second operator, the tank car state information and the external environment information into a decision tree model, and judging the training state according to the decision tree model.
The trained personnel enter a virtual system, the external environment and the state of the tank car are randomly generated by a computer VR system, the VR system receives external action information along with virtual operation and selection judgment of the personnel, accident deduction is carried out by utilizing a decision tree algorithm, the accident development condition is judged according to a probability model, if a user does not dilute and cool and valve closing and plugging operation is carried out, and the decision tree algorithm judges that rescue fails.
Optionally, the decision tree model includes:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, PK represents a probability factor of whether the operation information of the second operator, the tank car state information, and the external environment information occur, and H represents a training result entropy obtained according to the decision tree model. The smaller the entropy of the result indicates the more successful, e.g., 0.4 or less indicates success, and 0.4 or more indicates failure.
Through the decision tree algorithm, the system has certain intelligent reasoning and training evaluation functions, and is mainly used for training and improving the command capability and tactical quality of a commander on tank car fire and the combat capability and psychological quality of firefighters. The system carries out interactive auxiliary training on contents such as macroscopic command, on-site scheduling, decision analysis capability, emergency processing capability and the like through the functional designs such as setting of virtual scenes, selection of fire extinguishing tactics and rescue tools and provides comprehensive judgment. By adopting the character training, commander and staff can train simultaneously so as to improve the command and coordination ability of large-scale fire scene combined combat.
The modular structure of the training and auxiliary decision model is shown in FIG. 6
1) The computing plate consists of a CPU, a GPU computing unit and a high-speed position tracking receiving unit, and is responsible for mapping data acquired by a sensor into a high-precision computing task and a model rendering task of VR virtual reality.
2) The teaching plate comprises gas-liquid phase teaching, tank car structure teaching and accident handling skill teaching, wherein the gas-liquid phase teaching mainly learns the basic common sense of gas and liquid phases and mainly comprises the properties of principal components, physicochemical properties, density, boiling point, explosion limit and the like; the tank wagon teaching comprises semitrailers, frames, large-volume steel cylinder structures, front-section safety cabins and rear-end operation cabins; the accident handling teaching mainly simulates key technical tactics teaching such as force adjustment, warning, investigation, protection, dilution, valve closing, plugging, lifting and the like.
3) The training plate mainly comprises a comprehensive exercise of force adjustment, disaster investigation, leakage stoppage, pressure relief and air relief technical tactics, and the whole accident investigation technical tactics are completed under random or appointed environments, and comprises the following steps: the technical and tactical exercises of force adjustment, warning, reconnaissance, protection, dilution, valve closing, plugging, pressure relief, emptying, lifting and the like are completed.
4) The practical training deduction plate comprises modules such as scene generation, accident disposal, multi-person cooperation and the like, and is suitable for the multi-person cooperation to complete disposal tasks by constructing three-dimensional tunnel, high-speed, urban position leakage, fire, collision and other accident scenes by taking typical combat cases as the background, so that the command and cooperation combat capability of large-scale fire scene combined combat is improved, and the fire fight level is greatly improved.
5) The model display unit mainly comprises combined actions and displays of multiple virtual mechanisms, and is a comprehensive application of comprehensively applying a graphic image technology, a man-machine interaction technology and a pattern recognition technology, so that a virtual simulation environment with strong immersion is created, trained personnel are immersed in the virtual environment of the tank car accident disposal site in a first person view mode, and a vivid, safe, repeatable and low-consumption training means is provided for fire officers and soldiers.
The utility model provides a compressed natural gas tank wagon accident handling teaching and auxiliary decision-making method based on VR, this method combines VR virtual reality technique, various disaster and dangerous situations that virtual danger article tank wagon probably appear, the trainee can roam and know the detailed information of disaster in the scene with first person's perspective, immersive in danger article accident space environment, utilize information such as position, gesture that computer sensor transmitted, handle various accident scenes that appear, promote virtual scene's authenticity and infectivity. The training method which is vivid, safe, repeatable and low in consumption is provided, the fire fighting level is greatly improved, and the personal and property safety of people and the clean and healthy environment are better ensured in the actual accident treatment.
In addition, the disclosure further provides an embodiment of the apparatus adapted to the above embodiment, so as to implement the method steps described in the above embodiment, and the explanation based on the meaning of the same names is the same as that of the above embodiment, which has the same technical effects as those of the above embodiment, and will not be repeated herein.
As shown in fig. 7, according to a specific embodiment of the present disclosure, the present disclosure provides a VR-based compressed natural gas tank car accident handling teaching and decision-making aid apparatus, comprising:
the construction unit 702: constructing a Compressed Natural Gas (CNG) tank car accident occurrence assembly and an accident handling assembly in a VR view field, wherein the accident occurrence assembly comprises a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin and a rear-end operation cabin, and the accident handling assembly comprises a fire truck assembly, a warning assembly, a heat insulation suit assembly, an air respirator assembly, a water gun assembly, a valve assembly and a crane assembly;
the first acquisition unit 704: acquiring first operator information, configuring a first simulation scene based on the first operator information, and receiving an operation instruction of a first operator in the first simulation scene, wherein the operation instruction of the first operator is used for training the first operator so that the first operator can process accidents in a VR scene.
Optionally, the first obtaining unit 704 is further configured to:
acquiring first operator information, and acquiring tank car structural parameters and physical parameters of tank car carrying objects, wherein the tank car structural parameters comprise at least one of the following: semitrailer, frame, large-capacity seamless steel bottle, front end safety cabin, rear end operation cabin, the physical parameters of tank car cargo include at least one of the following: main components, physicochemical properties, density, explosion limit and boiling point;
inputting the structural parameters of the tank car and the physical parameters of the tank car carrying objects into an early warning model, judging the current state of the tank car according to the early warning model, and sending out an alarm signal when the early warning model exceeds a first threshold value;
and acquiring an operation instruction of a first operator according to the alarm signal, and performing fault investigation training according to the operation instruction.
Optionally, the early warning model includes:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, B k Parameters for inputting the early warning model are represented, and the parameters comprise a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin, a rear-end operation cabin, main components, physicochemical properties, density, explosion limit and boiling point; a, a k The weight coefficients of the corresponding parameters in the early warning model are represented, and different weight coefficients are adopted for different model parameters; r is the calculation result of the alarm model.
Optionally, the acquiring, according to the alarm signal, an operation instruction of a first operator, and performing troubleshooting training according to the operation instruction, includes: displaying the alarm signal sent by the early warning model through a head-wearing VR; the operation instruction of a first operator is acquired through the positioning and tracking handle and/or the head-mounted VR, and the accident handling component displayed in the VR view field is controlled according to the operation instruction, so that the troubleshooting training is completed.
Optionally, the acquiring, by the positioning and tracking handle and/or the headset VR, the operation instruction of the first operator includes: acquiring prompt information in a VR visual field, wherein the prompt information comprises voice prompt information and/or text prompt information; based on the prompt information, the action parameters of the first operator are obtained through positioning the tracking handle and/or the head-mounted VR, and an operation instruction is formed based on the action parameters.
Optionally, the method further comprises: transmitting the operation instructions into the VR field of view, the operation instructions for performing at least one of:
Selecting a water tank fire truck, an urban main warfare fire truck, a foam water tank fire truck or an emergency rescue truck in the VR view field, and gathering the water tank fire truck, the urban main warfare fire truck, the foam water tank fire truck or the emergency rescue truck at a first distance from the tank truck;
setting a warning module at a second distance from a vehicle collecting point, dividing a warning area into a heavy-risk area, a medium-risk area, a light-risk area and a safety area, and setting a warning sign;
wearing a heat shield assembly and an air respirator assembly in a VR field of view;
opening a spray gun assembly and a water curtain gun assembly in a VR view field;
in the VR field of view, in the event of a non-fire, closing the valve of the non-leaking canister; in case of fire, the valve of the non-fire tank is closed first;
in the VR view field, plugging is carried out by using a wooden wedge assembly, a strong magnetic assembly or a cap assembly;
in the VR field of view, the tanker is hoisted using a crane.
The second acquisition unit 706: acquiring second operator information, configuring a second simulation scene based on the second operator information, and receiving an operation instruction of a second operator in the second simulation scene, wherein the operation instruction of the second operator is used for training the second operator so that the second operator can process accidents in a VR scene; the first operator is converted into the second operator when a preset condition is met.
Optionally, the second obtaining unit 706 is further configured to: acquiring second operator information, and acquiring operation information of the second operator, tank car state information and external environment information, wherein the tank car state information comprises: 90 degrees of side turning, 180 degrees of side turning and normal position leakage, external environment information includes: wind direction, wind force, rainy day and sunny day; and inputting the operation information of the second operator, the tank car state information and the external environment information into a decision tree model, and judging the training state according to the decision tree model.
Optionally, the decision tree model includes:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, PK represents a probability factor of whether the operation information of the second operator, the tank car state information, and the external environment information occur, and H represents a training result entropy obtained according to the decision tree model.
The utility model provides a compressed natural gas tank wagon accident handling teaching and auxiliary decision-making device based on VR, the device combines VR virtual reality technique, various disaster and dangerous situations that virtual danger article tank wagon probably appear, the trainee can roam and know the detailed information of disaster with first person's visual angle in the scene, immersive in danger article accident space environment, utilize information such as position, gesture that computer sensor transmitted, handle the accident scene of various appearance, promote virtual scene's authenticity and infectivity. The training method which is vivid, safe, repeatable and low in consumption is provided, the fire fighting level is greatly improved, and the personal and property safety of people and the clean and healthy environment are better ensured in the actual accident treatment.
As shown in fig. 8, the present embodiment provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to enable the at least one processor to perform the method steps described in the embodiments above.
The disclosed embodiments provide a non-transitory computer storage medium storing computer executable instructions that perform the method steps described in the embodiments above.
Referring now to fig. 8, a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure is shown. The terminal devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 8, the electronic device may include a processing means (e.g., a central processor, a graphics processor, etc.) 801 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other by a bus 805. An input/output (I/O) interface 805 is also connected to the bus 805.
In general, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 805 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 808 including, for example, magnetic tape, hard disk, etc.; and a communication device 805. The communication means 805 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 8 shows an electronic device having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 805, or installed from storage 808, or installed from ROM 802. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 801.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as c#, java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
Claims (8)
1. A VR-based compressed natural gas tank car accident handling teaching and aid decision making method, comprising:
constructing a compressed natural gas tank car accident occurrence assembly and an accident handling assembly in a VR view field, wherein the accident occurrence assembly comprises a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin and a rear-end operation cabin, and the accident handling assembly comprises a fire truck assembly, a warning assembly, a heat insulation suit assembly, an air respirator assembly, a water gun assembly, a valve assembly and a crane assembly;
acquiring first operator information, configuring a first simulation scene based on the first operator information, and receiving an operation instruction of a first operator in the first simulation scene, wherein the operation instruction of the first operator is used for training the first operator so that the first operator can process accidents in a VR scene; the first operator is a learner who performs learning training;
Acquiring second operator information, configuring a second simulation scene based on the second operator information, and receiving an operation instruction of a second operator in the second simulation scene, wherein the operation instruction of the second operator is used for training the second operator so that the second operator can process accidents in a VR scene;
the first operator is converted into the second operator when the accident handling success rate reaches 80%; the second operator is a student for actual combat training;
the configuring a first simulation scenario includes:
configuring compressed natural gas tank car structural parameters and physical parameters of compressed natural gas tank car cargo, wherein the tank car structural parameters include at least one of: semitrailer, frame, large-capacity seamless steel bottle, front end safety cabin, rear end operation cabin, the physical parameters of tank car cargo include at least one of the following: main components, physicochemical properties, density, explosion limit and boiling point; inputting the structural parameters of the tank car and the physical parameters of the tank car carrying objects into an early warning model, judging the current state of the tank car according to the early warning model, and sending out an alarm signal when the operation result of the early warning model exceeds a first threshold value;
The receiving, in the first simulation scenario, an operation instruction of a first operator, where the operation instruction of the first operator is used to train the first operator, so that the first operator can process an accident in a VR scenario, and the method includes:
in the first simulation scene, receiving an operation instruction of a first operator according to the alarm signal, and performing fault troubleshooting training according to the operation instruction so that the first operator can process accidents in a VR scene;
the configuring a second simulation scenario based on the second operator information includes:
based on the second operator information, tank car status information and external environment information are configured, wherein the tank car status information comprises: 90 degrees of side turning, 180 degrees of side turning and normal position leakage, external environment information includes: wind direction, wind force, rainy day and sunny day;
the receiving, in the second simulation scenario, an operation instruction of a second operator, where the operation instruction of the second operator is used to train the second operator, includes:
receiving an operation instruction of a second operator, inputting the operation instruction of the second operator, tank car state information and external environment information into a decision tree model, and judging a training state according to the decision tree model.
2. The method of claim 1, wherein the early warning model comprises:
wherein k represents a natural number between 1 and n, n is a natural number greater than 1, B k Parameters for inputting the early warning model are represented, and the parameters comprise a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin, a rear-end operation cabin, main components, physicochemical properties, density, explosion limit and boiling point; a, a k The weight coefficients of the corresponding parameters in the early warning model are represented, and different weight coefficients are adopted for different model parameters; r is the calculation result of the alarm model.
3. The method of claim 1, wherein receiving an operation command of a first operator according to the alarm signal, and performing troubleshooting training according to the operation command, comprises:
displaying the alarm signal sent by the early warning model through a head-wearing VR;
the operation instruction of a first operator is acquired through the positioning and tracking handle and/or the head-mounted VR, and the accident handling component displayed in the VR view field is controlled according to the operation instruction, so that the troubleshooting training is completed.
4. The method of claim 3, wherein the obtaining, by the positioning tracking handle and/or the headset VR, the operation instruction of the first operator comprises:
Acquiring prompt information in a VR visual field, wherein the prompt information comprises voice prompt information and/or text prompt information;
based on the prompt information, the action parameters of the first operator are obtained through positioning the tracking handle and/or the head-mounted VR, and an operation instruction is formed based on the action parameters.
5. The method as recited in claim 4, further comprising:
transmitting the operation instructions into the VR field of view, the operation instructions for performing at least one of:
selecting a water tank fire truck, an urban main combat fire truck or an emergency rescue truck from a VR view field, and gathering the water tank fire truck, the urban main combat fire truck or the emergency rescue truck at a first distance from the tank truck;
wearing a heat shield assembly and an air respirator assembly in a VR field of view;
opening a spray gun assembly and a water curtain gun assembly in a VR view field;
in the VR field of view, in the event of a non-fire, closing the valve of the non-leaking canister; in case of fire, the valve of the non-fire tank is closed first;
in the VR view field, plugging is carried out by using a wooden wedge assembly, a strong magnetic assembly or a cap assembly;
in the VR field of view, the tanker is hoisted using a crane.
6. The method of claim 1, wherein the decision tree model comprises:
Wherein k represents a natural number between 1 and n, n is a natural number greater than 1, P k And the probability factor indicating whether the operation information of the second operator, the tank car state information and the external environment information are present or not, and H indicates the training result entropy obtained according to the decision tree model.
7. VR-based compressed natural gas tank car accident handling teaching and decision-making aid device, characterized by comprising:
the construction unit is used for constructing a compressed natural gas tank truck accident occurrence assembly and an accident handling assembly in a VR view field, wherein the accident occurrence assembly comprises a semitrailer, a frame, a large-volume seamless steel cylinder, a front-end safety cabin and a rear-end operation cabin, and the accident handling assembly comprises a fire truck assembly, a warning assembly, a heat insulation suit assembly, an air respirator assembly, a water gun assembly, a valve assembly and a crane assembly;
the first acquisition unit is used for acquiring first operator information, configuring a first simulation scene based on the first operator information, and receiving an operation instruction of a first operator in the first simulation scene, wherein the operation instruction of the first operator is used for training the first operator so that the first operator can process accidents in a VR scene; the first operator is a learner who performs learning training; the configuring a first simulation scenario includes:
Configuring compressed natural gas tank car structural parameters and physical parameters of compressed natural gas tank car cargo, wherein the tank car structural parameters include at least one of: semitrailer, frame, large-capacity seamless steel bottle, front end safety cabin, rear end operation cabin, the physical parameters of tank car cargo include at least one of the following: main components, physicochemical properties, density, explosion limit and boiling point; inputting the structural parameters of the tank car and the physical parameters of the tank car carrying objects into an early warning model, judging the current state of the tank car according to the early warning model, and sending out an alarm signal when the operation result of the early warning model exceeds a first threshold value;
the receiving, in the first simulation scenario, an operation instruction of a first operator, where the operation instruction of the first operator is used to train the first operator, so that the first operator can process an accident in a VR scenario, and the method includes:
in the first simulation scene, receiving an operation instruction of a first operator according to the alarm signal, and performing fault troubleshooting training according to the operation instruction so that the first operator can process accidents in a VR scene;
The second acquisition unit is used for acquiring second operator information, configuring a second simulation scene based on the second operator information, and receiving an operation instruction of a second operator in the second simulation scene, wherein the operation instruction of the second operator is used for training the second operator so that the second operator can process accidents in a VR scene; the configuring a second simulation scenario based on the second operator information includes:
based on the second operator information, tank car status information and external environment information are configured, wherein the tank car status information comprises: 90 degrees of side turning, 180 degrees of side turning and normal position leakage, external environment information includes: wind direction, wind force, rainy day and sunny day;
the receiving, in the second simulation scenario, an operation instruction of a second operator, where the operation instruction of the second operator is used to train the second operator, includes:
receiving an operation instruction of a second operator, inputting the operation instruction of the second operator, tank car state information and external environment information into a decision tree model, and judging a training state according to the decision tree model;
The first operator is converted into the second operator when the accident handling success rate reaches 80%; the second operator is a student who performs actual combat training.
8. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which when executed by the one or more processors cause the one or more processors to implement the method of any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010334279.2A CN111552382B (en) | 2020-04-24 | 2020-04-24 | VR (virtual reality) compressed natural gas tank car accident handling teaching decision method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010334279.2A CN111552382B (en) | 2020-04-24 | 2020-04-24 | VR (virtual reality) compressed natural gas tank car accident handling teaching decision method, device and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111552382A CN111552382A (en) | 2020-08-18 |
| CN111552382B true CN111552382B (en) | 2023-10-13 |
Family
ID=72007666
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010334279.2A Active CN111552382B (en) | 2020-04-24 | 2020-04-24 | VR (virtual reality) compressed natural gas tank car accident handling teaching decision method, device and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111552382B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113808450B (en) * | 2021-08-20 | 2023-05-09 | 北京中电智博科技有限公司 | External floating roof oil tank model accident handling training method, device and equipment |
| CN113793540A (en) * | 2021-08-20 | 2021-12-14 | 北京中电智博科技有限公司 | VR-based internal floating roof oil tank accident handling teaching and training method and device |
| CN114495623B (en) * | 2022-01-28 | 2024-08-16 | 北京中电智博科技有限公司 | VR-based liquefied natural gas tank car accident handling teaching and training method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448491A (en) * | 2018-12-19 | 2019-03-08 | 杭州凯达电力建设有限公司 | A kind of electric analog training system |
| CN109637258A (en) * | 2019-02-28 | 2019-04-16 | 北京瞭望者科技有限责任公司 | Chemical defence VR simulated training system |
| CN110335359A (en) * | 2019-04-22 | 2019-10-15 | 国家电网有限公司 | Distribution board firing accident emergency drilling analogy method based on virtual reality technology |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150310758A1 (en) * | 2014-04-26 | 2015-10-29 | The Travelers Indemnity Company | Systems, methods, and apparatus for generating customized virtual reality experiences |
-
2020
- 2020-04-24 CN CN202010334279.2A patent/CN111552382B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448491A (en) * | 2018-12-19 | 2019-03-08 | 杭州凯达电力建设有限公司 | A kind of electric analog training system |
| CN109637258A (en) * | 2019-02-28 | 2019-04-16 | 北京瞭望者科技有限责任公司 | Chemical defence VR simulated training system |
| CN110335359A (en) * | 2019-04-22 | 2019-10-15 | 国家电网有限公司 | Distribution board firing accident emergency drilling analogy method based on virtual reality technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111552382A (en) | 2020-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111552382B (en) | VR (virtual reality) compressed natural gas tank car accident handling teaching decision method, device and equipment | |
| Chen et al. | Development of BIM, IoT and AR/VR technologies for fire safety and upskilling | |
| CN103578315B (en) | Three-dimensional Fire Training and rehearsal appraisal procedure | |
| CN205015926U (en) | Multidimension BIM building fire system | |
| CN108257063A (en) | A kind of fire-fighting war instruction desktop maneuvers man-machine interactive system | |
| CN106991633A (en) | The computer simulation system and emulation mode of a kind of public safety emergency management | |
| CN108847081A (en) | A kind of fire-fighting simulated training method based on virtual reality technology | |
| CN109903621B (en) | Safety simulation training system for petrochemical marketing enterprises | |
| CN101430833A (en) | Maritime search and rescue simulation system and its development platform | |
| CN114495623B (en) | VR-based liquefied natural gas tank car accident handling teaching and training method and device | |
| CN107516448A (en) | A kind of public safety virtual emulation platform | |
| Haupt et al. | Applications of digital technologies for health and safety management in construction | |
| CN211628200U (en) | Compressed natural gas tank car accident disposal teaching and decision-making assisting system based on VR | |
| CN113744585B (en) | Fire accident emergency treatment drilling system and treatment method | |
| CN111696399A (en) | VR simulation experience training method for handling dangerous chemical transport tank car collision accident | |
| CN113793540A (en) | VR-based internal floating roof oil tank accident handling teaching and training method and device | |
| CN113808450B (en) | External floating roof oil tank model accident handling training method, device and equipment | |
| CN111696400A (en) | VR simulation experience training method for handling leakage accident of hazardous chemical transport tank car | |
| CN218939090U (en) | Internal floating roof oil tank accident disposal training system based on VR equipment | |
| CN207541796U (en) | A kind of restricted clearance operation and rescue training device | |
| Hofmann et al. | Application of Augmented Reality in firefighters training: From Safe to SafAR | |
| CN203415113U (en) | Mine emergency rescue computer analogue simulation and evaluation system | |
| CN218676275U (en) | Outer floating roof oil tank accident disposal training system based on wearable equipment | |
| Grigoriou et al. | Towards the RESPOND-A initiative: Next-generation equipment tools and mission-critical strategies for First Responders | |
| Li et al. | Apply VR to carry out crew escape training |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |