KR20180069510A - Safety training system of operator based virtual reality and method thereof - Google Patents

Abstract

The present invention relates to a virtual reality-based safety training system for an operator and a method for the same. The virtual reality-based safety training system for an operator recommends an item which should be learned by each step to correspond to the ability of a trainee in a virtual reality environment and computer-based training system by considering learning ability and ability improvement of an individual operator. Also, the virtual reality-based safety training system for an operator determines a train frequency to correspond to a learning pattern of the trainee and can monitor the trainee to maintain success continuity demanded for the trainee by a part based on risk assessment for preventing an accident. According to an embodiment of the present invention, the virtual reality-based safety training system for an operator includes: an operator training control device; a virtual reality visualizing device; a controller monitoring a training result of the operator, which is controlled by the virtual reality visualizing device and the operator training control device, by executing an operator safety training scenario on a plant process model and sending the monitored train result of the operator to the outside; and a server analyzing the train result of the operator, which is received from the controller, and transmitting process data in accordance with the part controlled by training of the operator and training data including a training history, an accident history, and a training pattern to the controller. The controller determines a next training scenario based on the process data and the training data, which are received from the server.

Description

TECHNICAL FIELD [0001] The present invention relates to a safety training system and method for a virtual reality-

The present invention relates to a safety training system and method for a virtual reality-based operator, and more particularly, to a virtual reality environment, a computer-based training system, in order to improve the learning ability and capability of individual operators. A safety training system of a virtual reality-based operator capable of monitoring the items to be recommended, determining the frequency of training according to the training pattern of the training center, and maintaining the continuity of success required for the part-by-part training center based on the risk evaluation, ≪ / RTI >

In the conventional virtual reality environment and the computer based training system, the training method is predetermined, the training flow for the method is designed, and the specified problem is presented and only the accurate method is presented.

In addition, in the training system targeting the operators who deal with complex machinery or parts in the plant in more detail, the deviation due to the difference of the individual learning ability is large, but there is no difference in the frequency of the familiar operation and the non- And there was no difference between dangerous work and less dangerous work, which did not help to prevent the accident.

In addition, the conventional training system has a tendency to be different for each operator, so even if the same training or training is performed, the time and the degree of recognition of the training and the training are different from each other. Therefore, I did not improve my ability.

Korean Patent Laid-Open Publication No. 2014-0139344 (May 31, 2014) entitled " Ontology Inference Training Method for Inferring Learner Situation Information Generated in Real Time in Virtual Training and Training System, System and Computer-Readable Recording Medium Using it, Korean Patent Laid-Open Publication No. 2015-0065354 (2015.06.15) "Intelligent Learning Data Decision Apparatus and Method"

Particularly, according to the risk assessment, since the disaster intensity varies according to the item during the erroneous work, it is possible to predict success of the operator steadily over a certain period of time for items with a large disaster intensity. There is a need for an improved system that guides implementation.

The object of the present invention is to determine the following training courses and contents for the purpose of improving the learning ability by storing the degree of learning and training for each individual in the server and analyzing the accumulated data. In addition, the risk of the parts handled by the operator is calculated as the product of the frequency of accidents and the intensity of the disaster. Therefore, it is required to improve the accident prevention rate based on the risk assessment in consideration of the disaster intensity in case of malfunction of the database and parts, The present invention provides a safety training system and method for a virtual reality-based operator capable of preventing an accident by predicting and re-training before continuity of continuity is reduced through continuous monitoring of persistence.

According to an aspect of the present invention, there is provided an apparatus for training an operator; Virtual reality visualization equipment; A controller for executing an operator safety training scenario for a plant process model to monitor the operator training manipulation equipment and the training results of the operator manipulated through the virtual reality visualization equipment and to send training results of the monitored operator to the outside; And a server for analyzing the training result of the operator received from the controller and transmitting the training data including the training data, the training history, the accident history, and the training pattern to the controller according to the parts operated by the training of the operator, Wherein the controller determines a training scenario to be trained next based on the process data and the training data received from the server.

The controller determines the learning achievement and the accident prevention achievement according to the risk based on the accident frequency based on the training result of the operator, and determines the training amount, the training frequency and the training to be performed per operator based on the determined learning achievement and the accident prevention achievement Training scenarios for improving learning skills, including cycles, and training scenarios for improving accident prevention rates can be established.

The controller analyzes the characteristics of the plant process model and the training tendency of the operator to determine a priority among the training scenarios for improving the learning ability and the improvement scenarios for improving the accident prevention rate, To determine the training scenario to be trained next.

The controller receives the total number of parts to be performed by the operator among the parts included in the plant process model when the next training scenario to be trained is a training scenario for improving the learning ability, The probability of success per part can be calculated and updated based on the training result obtained by executing the safety training of the operator who has been manipulated through the operator training operation equipment and the virtual reality visualization equipment according to the calculated number of times of training by the number of parts .

The controller receives the total number of parts to be performed by the operator among the parts included in the plant process model when the next training scenario to be trained is a training scenario for improving the accident prevention rate, Based on the training results obtained by executing the safety training of the operator training manipulation equipment and the operator manipulated through the virtual reality visualization equipment according to the success duration and the frequency of the training, .

According to another embodiment of the present invention, there is provided a safety training method of a virtual reality-based operator using a safety training system of a virtual reality-based operator including an operator training operation device and a virtual reality visualization equipment, The controller included in the system executing an operator safety training scenario for the plant process model; Wherein the server included in the safety training system of the virtual reality based operator performs monitoring of the training result of the operator who is operated through the operator training operation equipment and the virtual reality visualization apparatus by executing the operator safety training scenario; Transmitting the training data including the training data, the training history, the accident history, and the training pattern to the server by analyzing the result of the training of the operator who is monitored and processing data according to the part operated by the training of the operator; And a controller for determining a training scenario to be trained next based on the process data and the training data received from the server.

Determining the learning achievement based on the training result of the operator and the accident prevention achievement according to the risk in consideration of the accident frequency; And establishing a training scenario for improving the learning ability including the amount of training, training frequency and training cycle to be trained per the operator based on the determined learning achievement and the accident prevention achievement, and a training scenario for improving the accident prevention rate can do.

Determining a priority among the training scenarios for improving the learning ability and the training scenarios for improving the accident prevention rate by analyzing the characteristics of the plant process model and the training tendency of the operator; And weighing the determined priority to determine a training scenario to be trained next.

A safety training method for a virtual reality-based operator according to another embodiment of the present invention is characterized in that after the determining step, if the controller determines that the next training scenario to be trained is a training scenario for improving the learning ability, Receiving a total number of parts to be performed by the operator among the parts included in the first step; Calculating, by the controller, the number of times of training by the number of parts input; The controller performing an operator safety training in accordance with the calculated number of times of part-by-part training; And a step of the controller calculating and updating the success probabilities per part based on the training results obtained by executing the operator safety operations operated through the operator training operation equipment and the virtual reality visualization equipment .

A safety training method for a virtual reality based operator according to another embodiment of the present invention is characterized in that, after the determining step, if the controller determines that the next training scenario to be trained is a training scenario for improving the accident prevention rate, Receiving a total number of parts to be performed by the operator among the parts included in the model; Wherein the controller calculates a required success duration and a training frequency for each input number of fuses; The controller performing an operator safety training according to the calculated success duration and training cost; And a step of the controller calculating and updating the success persistence per component and the probability of per-component probability based on the training result of executing the safe operation of the operator operated through the operator training operation equipment and the virtual reality visualization equipment .

According to the embodiment of the present invention, the virtual reality-based operator training system recommends items to be learned step by step according to the ability of the training center, sets the training frequency according to the training pattern of the training center, By monitoring to maintain continuity, it is possible to improve learning achievement, thereby shortening the master time for all items to be trained and preventing accidents.

1 is a view for explaining a safety training system of a virtual reality-based operator according to an embodiment of the present invention;
2 is a view showing a city gas static pressure facility,
3 is a diagram for explaining the difference between the standard deviation of success probabilities and the average success probability for each part,
FIG. 4 is a graph comparing success durations by operators,
FIG. 5 is a graph showing the relationship between training continuity, training time interval, and training frequency in the safety training of the operator,
FIG. 6 is a graph showing the relationship between the duration of training success and time in the operator safety training,
FIG. 7 is a flowchart illustrating a safety training method for a virtual reality-based operator according to an embodiment of the present invention;
FIG. 8 is a flow chart for explaining a safety training method of the operator according to a training scenario for improving the learning ability of the training scenario determined in FIG. 7,
FIG. 9 is a flowchart illustrating a method of safety training of a trainee according to a training scenario for improving an accident prevention rate in the training scenario determined in FIG. 7; FIG.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a view for explaining a safety training system of a virtual reality-based operator according to an embodiment of the present invention.

Referring to FIG. 1, a safety training system for a virtual reality-based operator according to an embodiment of the present invention includes an operator training manipulation apparatus 10, a virtual reality visualization apparatus 20, an operator training manipulation apparatus 10, A controller 30 for monitoring the training of operators who are manipulated through the initiating equipment 20 and a controller 30 for sending process data and training data interpreted based on the training results of the operators monitored from the controller 30 to the controller 30 And a server (40).

Operator training manipulation equipment 10 includes hardware including keyboard / mouse, joystick, gait navigator, haptic glove and other haptic equipment, and results of performing scenarios through hardware, i.e. equipment, from an operator to controller 30 And a controller in which software for transmitting is installed.

The virtual reality visualization apparatus 20 includes hardware including a head mount device and a screen, and a controller provided with software for transmitting the result of performing the scenario through the hardware, that is, the device, to the controller 30 from the operator.

The controller 30 monitors the training results of the operator who is operated through the operator training operation equipment 10 and the virtual reality visualization equipment by executing the operator safety training scenario for the plant process model, for example, the city gas static pressure facility And sends the training result of the monitored operator to the server 10.

The controller 30 mainly includes a virtual reality driving main training controller 31 and an input and output (IO) interface 32.

The virtual training-driven main training controller 31 performs I / O control for converting the result of executing the scenario through the equipment operation to the correct information when the operator executes the safety training training scenario for the plant process model, An operator controller for delivering information through video and audio information, a scenario controller, an I / O controller, an operator controller, and a scenario controller for determining a scenario to be trained through the information stored in the server 40, And a processor for processing information.

The I / O interface 32 is connected to the operator training manipulation apparatus 10 and the virtual reality visualization apparatus 20, respectively, so as to allow the operator 30, via the operator training manipulation apparatus 10 and the virtual reality initiating apparatus 20, And transmits the results of the operation performed by the equipment to the I / O controller. Also, the I / O controller transmits a video signal corresponding to a safety training scenario of the operator through the I / O interface 32 to the virtual reality visualization apparatus 20.

The scenario controller determines training scenarios to be trained next based on the process data and the training data received from the server 40. [

More specifically, the scenario controller determines the learning achievement based on the training result of the operator manipulated through the operator training manipulation apparatus 10 and the virtual reality visualization apparatus 20 and the accident prevention achievement according to the risk considering the accident frequency Based on the determined learning achievement and accident prevention achievement, establish training scenarios for improving learning ability including training amount, training frequency and training cycle to be trained per operator, and training scenarios for improving accident prevention rate.

In addition, the scenario controller analyzes the characteristics of the plant process model and the training tendency of the operator among the training scenarios for improving the learning ability and the accident prevention rate to determine the priority, To determine the training scenarios to be trained next. In this case, if the next training scenario to be trained is a training scenario for improving the learning ability to which the success probability based methodology is applied, the scenario controller receives the total number of parts to be performed by the operator among the parts included in the plant process model, The success probability per part is calculated on the basis of the training result of executing the safety training of the operator who is manipulated through the operator training apparatus 10 and the virtual reality visualization apparatus 20 according to the number of training according to the number of parts received, And updates the probability of success per part. If the next training scenario to be trained is a training scenario for improving the accident prevention rate to which the risk assessment based methodology is applied, the total number of parts to be performed by the operator among the parts included in the plant process model is input, Per succession per component and per-component accidents based on the training results of performing operator safety training on operator training equipment (10) and virtual reality visualization equipment (20) Calculate probabilities to determine training outcomes and update success probabilities per component and probabilities per component.

If the scenario controller determines the next training scenario to be trained in this way, the supplier controller delivers the determined training scenario to the operator through the image information and voice information.

The plant process model may be a city gas static pressure plant as shown in FIG. 2, but the present invention is not limited thereto. Various plant types such as a liquefied petroleum gas static pressure facility, an LNG supply facility, an LNG vaporization facility, or an LNG re- Lt; / RTI >

2, reference numerals 1 and 2 are a regulator 1 and a regulator 2, 3 is a RELIEF valve, 4 is an SSV, 5 is a filter, 6 is a DP GAUGE, 7 is a recorder, 8 and 9 are P / I GAUGE1 and P / I GAUGE2, and 10 and 11 are valve 1 and valve 2, respectively.

As a result of training of operators in the city gas constant-pressure facility shown in FIG. 2, even if only the cases where the success probabilities of the parts are the same for each operator as shown in Tables 1 to 3 below, there is a large difference in the patterns, In order to improve the learning ability, the success probability based methodology is applied. The result is shown in Table 4 below. Table 1 shows the safety training results of the operator 1 in the city gas static pressure facility, Table 2 shows the safety training results of the operator 2 in the city gas static pressure facility, and Table 3 shows the safety training result of the operator 3 in the city gas static pressure facility .

Item Primary training Secondary training Tertiary training 4th training 5th training Results (probability of success%) Regulator 1 X X X X O 1/5 Success (20%) Regulator 2 X X X O O 2/5 success (40%) Valve 1 X X O O O 3/5 success (60%) Valve 2 X O O O O 4/5 success (80%)

Item Primary training Secondary training Tertiary training 4th training 5th training Results (probability of success%) Regulator 1 X X X O X 1/5 Success (20%) Regulator 2 X X X O X 2/5 Success (40%) 2/5 Success (40%) Valve 1 X X O O X 3/5 success (60%) Valve 2 O O O O X 4/5 success (80%)

Item Primary training Secondary training Tertiary training 4th training 5th training Results (probability of success%) Regulator 1 X X O X X 1/5 Success (20%) Regulator 2 X O O X X 2/5 success (40%) Valve 1 O O O X X 3/5 success (60%) Valve 2 O O O X O 4/5 success (80%)

The total number of drills can be calculated based on the results of the driving drills shown in Tables 1 to 3. That is, the success probability of the regulator 1 is 0.2, the training frequency rate is the inverse of the success probability, so that the success probability of the regulator 2 is 0.4, the training frequency rate is 5/2, the success probability of the valve 1 is 0.6, The rate of success of valve 2 is 0.8, the frequency of training is 5/4, the number of training of regulator 1 is 5n, the number of training of regulator 2 is 5n / 2, the number of training of valve 1 is 5n / 3, and the number of drills of valve 2 is 5n / 4, so the total number of drills (N) is 125n / 12. N is 125, the number of training of the regulator 1 is 60, the number of training of the regulator 2 is 30, the number of training of the valve 1 is 20, and the number of training of the valve 2 is 15. Applying a success probability based training scenario to reduce the standard deviation (success probability per part) and increase the average success probability, the success probability of regulator 1 is 0.8, the training frequency rate is 5.4, the success probability of regulator 2 is 0.6, The rate of success of valve 1 is 0.5, the frequency of training is 2, the probability of success of valve 2 is 037, the training frequency of regulator 1 is 5 n / 4 when the training frequency rate is 10/7, The training frequency of laser 2 is 5n / 3, the training frequency of valve 1 is 2n, and the training frequency of valve 2 is 10n / 7, so the total number of training (N) is 533n / 84. N is 533, the number of regulator training is 105, the number of training of regulator 2 is 140, the number of training of valve 1 is 168, and the number of training of valve 2 is 120.

FIG. 3 shows a result of comparing before and after application of the training scenario for improving the learning ability to which the success probability based methodology is applied in the safety training of the operator for the city gas static pressure facility. As shown in FIG. 3, it is possible to confirm the difference of the standard deviation of the success probability of each part, and to confirm the difference of the average success probability.

FIG. 4 shows that the same success rate can be different from the viewpoint of success persistence, and the results can be summarized as follows.

The cognitive pattern of operator 1 is fast, but it takes a lot of time to learn the contents of the training after the training course, The memory of fully learned education is maintained for a long time and few mistakes, and the recognition pattern of the operator 3 corresponds to the middle of the recognition pattern of operator 1 and operator 2.

Therefore, when a high-risk component is manipulated, it is possible to cause a large accident even with a single mistake. Therefore, it is required to assure a high probability of success in operation of the training center occurring at a future point. Success in the act is persistence.

If the continuity of success of the training center is low, it is highly likely that an accident will occur. In order to prevent this, it is necessary to shorten the training period of the part to increase the success sustainability and to monitor the success persistence at regular intervals Do. Figures 5 (a) and 5 (b) show the relationship between training continuity, training time interval, and training frequency in the safety training of the operator.

Figure 6 shows the relationship between duration of training success and time in operator safety training.

In order to accurately predict when to train in FIG. 6, it is possible to deduce from the prediction of the success of the training success through the current state of the operator and the past history. However, in order to improve the accuracy of the inferred result, It is necessary to analyze the cumulative error range from the forecast of the supplier, which requires a lot of data to be collected.

Also, it is necessary to introduce big data theory in order to obtain meaningful data necessary from many data and to obtain meaningful results.

A safety training method for a virtual reality-based operator having such a configuration will be described with reference to FIG.

FIG. 7 is an operational flowchart for explaining a safety training method of a virtual reality-based operator according to an embodiment of the present invention. FIG. 8 is a flowchart illustrating a safety training method according to a training scenario for improving learning ability FIG. 9 is a flowchart illustrating a method of training a safety training operator according to a training scenario for improving an accident prevention rate, according to the training scenario determined in FIG.

Referring to FIG. 7, the controller 30 executes the operator safety training scenario for the plant process model (S11). The controller 30 executes the operator safety training scenario set in advance in the plant process model so that the image information and the audio information are transmitted to the operator.

The server 40 receives the training result of the operator who is operated through the operator training operation equipment and the virtual reality visualization apparatus by executing the operator safety training scenario (S13).

The server 40 analyzes the training data including the training data, the training history, the accident history, and the training pattern based on the parts operated by the training of the operator based on the training result of the received training, And transmits the data to the controller 30 (S15).

The controller 30 establishes a training scenario for improving the learning ability according to the learning achievement of the operator through the training history, the accident history, and the training pattern included in the received training data, and improves the accident prevention rate (S17). ≪ / RTI >

The controller 30 determines the priority of the training scenarios for improving the learning ability and the training scenarios for improving the accident prevention rate by analyzing the characteristic of the plant process model receiving the safety training and the training tendency of the operator (S19). In order to determine the priority, rules and methods prescribed by the training supervisor are necessary.

The controller 30 weights the determined priority to determine a training scenario to be trained next (a training scenario for improving the learning ability or a training scenario for improving the accident prevention rate) (S21). At this time, the success probability based methodology is applied to the training scenarios for improving the learning ability, and the risk assessment based methodology is applied to the training scenarios for improving the accident prevention rate. The success probability based methodology is a method to reduce the master time of all parts by improving the probability of success of the arithmetic training of the parts to be operated and improving the probability of success of each part, Based on the success rate, it is a method to improve the probability of success in the training in the future and to reduce the deviation of success probability between parts. The methodology based on the risk assessment is a method to increase the sustainability of the training success for the items with high risk considering the risk due to the different disaster intensity at the time of each component failure because the items trained by the operator have different disaster strengths in case of malfunction or failure Considering the risks to the individual parts, we adjust the training frequency and time interval to increase the sustainability of success without relying solely on the probability of success for the items with high risk. In order to accurately predict the success of the parts operation at the future time, Analysis and periodic success monitoring is a way to reduce the risk of eventual eventuality.

Referring to FIG. 8, when the training scenario determined in FIG. 7 is a training scenario for improving the learning ability, the controller 30 receives the total number of parts to be performed by the operator through the operator training and operation equipment 10 (S51).

The controller 30 calculates the number of times of training per component input (S53). The number of training times is inversely related to the probability of success.

The controller 30 executes the operator safety training in accordance with the calculated number of times of training per part (S55).

The controller 30 calculates the success probability per part based on the training result of executing the operator safety training (S57). The calculated success probability is stored and managed in the training history DB in the DB server 42 as the training result of the server 40. The training history DB may further include an accumulated success probability DB, a long-term success probability DB, and a short-term success probability DB.

The controller 30 determines the training performance based on the calculated success probability per part and updates the success probability of each part of the operator (S59).

This allows the operator to quickly increase the probability of success and reduce the probability of success between components when operating the part.

Referring to FIG. 9, when the training scenario determined in FIG. 7 is a training scenario for improving the accident prevention rate, the controller 30 inputs the total number of parts to be performed by the operator through the operator training operation equipment 10 (S71).

The controller 30 calculates the required success persistence for each input part (S73). Risk and success persistence are proportional.

The controller 30 calculates the training frequency per part (S75). The frequency of training for each part is inversely related to success persistence.

The controller 30 executes the safety training of the operator according to the thus calculated training frequency (S77).

The controller 30 calculates the success duration per part based on the training result of executing the operator safety training (S79).

Next, the controller 30 calculates an accident probability per part based on the training result of executing the operator safety training (S81). The above-described step S79 and the above-described step S81 do not limit the present invention, but can be implemented as a procedure for calculating the probability of occurrence of an accident per part first and executing the calculation of success persistence after executing the safety training of the operator.

The controller 30 determines the training performance based on the computed per-part success persistence and accident probability, and updates the success persistence, success sustainability future prediction and risk for each part (S83).

In order to increase the sustainability of success, it is necessary to adjust the training frequency, time interval, and to analyze the big data and periodic success continuation monitoring for the accurate prediction of success continuity in the operation of parts at the future time, have.

The invention being thus described, it will be obvious that the same way may be varied in many ways. Such modifications are intended to be within the spirit and scope of the invention as defined by the appended claims.

10: Operator training manipulation equipment 20: Virtual reality visualization equipment
30: controller 31: virtual reality driven main training controller
32: I / O interface 40: server
41: process simulator DB server 42: training result DB server

Claims (10)

Operator training equipment;
Virtual reality visualization equipment;
A controller for executing an operator safety training scenario for a plant process model to monitor the operator training manipulation equipment and the training results of the operator manipulated through the virtual reality visualization equipment and to send training results of the monitored operator to the outside;
And a server for analyzing the training result of the operator received from the controller and transmitting the training data including the training data, the training history, the accident history, and the training pattern to the controller according to the parts operated by the training of the operator,
Wherein the controller determines a training scenario to be trained next based on the process data and the training data received from the server. The method according to claim 1,
The controller determines the learning achievement and the accident prevention achievement according to the risk based on the accident frequency based on the training result of the operator, and determines the training amount, the training frequency and the training to be performed per operator based on the determined learning achievement and the accident prevention achievement A training scenario for improving learning ability including a cycle and a training scenario for improving an accident prevention rate are established. The method of claim 2,
The controller analyzes the characteristics of the plant process model and the training tendency of the operator to determine a priority among the training scenarios for improving the learning ability and the improvement scenarios for improving the accident prevention rate, And determines a training scenario to be trained next. The method of claim 3,
The controller receives the total number of parts to be performed by the operator among the parts included in the plant process model when the next training scenario to be trained is a training scenario for improving the learning ability, And calculating the success probabilities per part based on the training results obtained by executing the safety training of the operator who has been manipulated through the operator training manipulation equipment and the virtual reality visualization equipment according to the calculated number of training times by the number of parts A safety training system for a virtual reality based operator. The method of claim 3,
The controller receives the total number of parts to be performed by the operator among the parts included in the plant process model when the next training scenario to be trained is a training scenario for improving the accident prevention rate, Based on the training results of the operator training equipment and the safety training of the operator who is manipulated through the virtual reality visualization equipment according to the success duration and the training frequency, Wherein the safety training system comprises: A safety training method for a virtual reality-based operator using a safety training system of a virtual reality-based operator including operator training operation equipment and virtual reality visualization equipment,
Wherein the controller included in the safety training system of the virtual reality based operator performs the operator safety training scenario for the plant process model;
Wherein the server included in the safety training system of the virtual reality based operator performs monitoring of the training results of the operator who is operated through the operator training operation equipment and the virtual reality visualization apparatus by executing the operator safety training scenario;
Transmitting the training data including the training data, the training history, the accident history, and the training pattern to the server by analyzing the result of training of the operator who is monitored and processing data according to the parts operated by the training of the operator; And
Wherein the controller includes determining a training scenario to be trained next based on the process data and the training data received from the server. The method of claim 6,
The step of determining
Determining learning achievement based on the training result of the operator and accident prevention achievement according to the risk in consideration of the accident frequency; And
Establishing a training scenario for improving learning ability and a training scenario for improving accident prevention rate including a training amount, a training frequency and a training cycle to be trained per operator, based on the determined learning achievement and accident prevention achievement And a safety training method of a virtual reality-based operator. The method of claim 6,
The step of determining
Determining a priority among the training scenarios for improving the learning ability and the training scenarios for improving the accident prevention rate by analyzing the characteristic of the plant process model and the training tendency of the operator; And
And weighting the determined priority to determine a next training scenario to be trained. The method of claim 6,
After said determining step,
Receiving, by the controller, the total number of parts to be performed by the operator among the parts included in the plant process model, when the training scenario to be trained next is a training scenario for improving learning ability;
Calculating, by the controller, the number of times of training by the number of parts input;
The controller performing an operator safety training in accordance with the calculated number of times of part-by-part training; And
The controller further includes calculating and updating a success probability per part based on the training result of executing the safety operation of the operator operated through the operator training operation equipment and the virtual reality visualization equipment, A safety training method for a virtual reality - based operator. The method of claim 6,
After said determining step,
Receiving, by the controller, the total number of parts to be performed by the operator among the parts included in the plant process model, when the training scenario to be trained next is a training scenario for improving the accident prevention rate;
Wherein the controller calculates a required success duration and a training frequency for each input number of fuses;
The controller performing an operator safety training according to the calculated success duration and training cost; And
Wherein the controller calculates and updates the per-part success duration per component and the per-component probability of accidents on the basis of the training result of executing the safe operation of the operator operated through the operator training operation equipment and the virtual reality visualization equipment Wherein said virtual reality-based operator is a virtual reality-based operator.

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