JP2012037788A - Training device and method for danger prediction - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a training device for danger prediction by which danger prediction training is effectively performed.SOLUTION: The training device for danger prediction includes: a simulator 19 which simulates an arbitrary operation state of a plant after receiving input from an operator and outputs the simulated state; storage means 12 which stores an initial state corresponding to an abnormal state of the plant; and instruction means 18 which instructs the simulator so that the operation state of the plant responding to the input is simulated continuously from the initial stage when measures coping with the abnormal state are input.

Description

  The present invention relates to a risk prediction training apparatus and method, and more particularly, with respect to the ability to predict and deal with risks in the process of a plant using a simulator that represents actual devices and equipment on a computer as a mathematical model. The present invention relates to a risk prediction training apparatus and method for training a plant operator. The invention further relates to a program for a danger prediction training device.

  A plant simulator is generally a computer system that is used to represent actual devices and equipment in a plant as a mathematical model and to train the operating ability of an operator engaged in the operation of the plant. The simulator allows operators to experience driving operations in a safe virtual environment for situations that are difficult to actually experience, such as dangerous work that is actually life-threatening, equipment failure, or reproduction of abnormal situations. I can do it.

  The simulator is also used for technical examination and research of plant operation. In this case, the simulator is used to simulate the operation of the plant even when it is judged that examination and experimentation using the plant equipment and equipment are difficult from the viewpoint of cost, safety, and immediacy. It is used.

  By the way, in order to improve the operator's ability to predict and deal with risks in the process of the plant, risk prediction training that assumes abnormal events in the process and finds the causes, effects, and treatment methods related to them is, for example, This is done using the brainstorming method. Such danger prediction training by brainstorming is performed by, for example, a four-round method.

  In the first round of the 4-round method, the causes of abnormal events in the assumed process are listed as much as possible. In the second round, the possible causes listed above are listed as much as possible to influence the process, and the most probable cause of the abnormal process event is identified. In the third round, a treatment method for dealing with the identified cause is listed. In the fourth round, permanent measures such as equipment remodeling and revision of work standards are determined based on the determined treatment method.

  Patent Document 1 describes an evaluation apparatus and method for evaluating a training effect of a student in a risk prediction training when a risk prediction training is performed at a site that performs a work involving a risk such as a construction site. In this technology, the trainee inputs the cause and treatment method extracted or specified in each round to the evaluation device <computer> for each item, and the grader inputs the input contents for each scoring item on the computer. Evaluate and score. The computer aggregates the scoring results into the average score for each scoring item, the total score of scoring items, etc., and displays the summing result on a display device or the like as necessary.

  The method of Patent Document 1 can also be applied to danger prediction training for an operator who operates a plant. If the evaluation method of Patent Document 1 is used for the risk prediction training of the plant operator and the input contents of the students are evaluated for each scoring item, the evaluation by the evaluator can be facilitated and the variation in the evaluation contents can be suppressed. Moreover, since guidance content can be evaluated from the evaluation result and appropriate guidance content can be provided, danger prediction training can be effectively performed.

JP 2008-139479 A

  If the method of the above-mentioned Patent Document 1 is used for the risk prediction training of the plant operator, the operator has no opportunity to operate the actual equipment or equipment of the plant, so the effect of the risk prediction training obtained by the operator is limited. It is.

  In view of the above, an object of the present invention is to provide a risk prediction training apparatus and method capable of more effectively performing risk prediction training for a plant operator, and a program for the risk prediction training apparatus. .

In order to achieve the above object, the present invention receives an operator input, and simulates and outputs an arbitrary operation state of a plant;
Storage means for storing an initial state corresponding to an abnormal state of the plant;
And an instruction means for instructing the simulator to simulate the operation state of the plant responding to the input from the initial state when there is an input of a measure for dealing with the abnormal state. A predictive training apparatus is provided.

The present invention is also a method for performing risk prediction training for a plant operator using a risk prediction training apparatus,
A step of accepting a theme of danger prediction training, a risk prediction training device simulating the operation state of a plant corresponding to the theme, and presenting it to an operator;
A danger prediction training device accepting an abnormal state obtained by brainstorming by an operator and simulating the abnormal state;
The danger prediction training apparatus sequentially includes steps for receiving a treatment for dealing with an abnormal state of the plant obtained by the brain storming and simulating an operation state of the plant responding to the treatment. Provide danger prediction training methods.

The present invention further relates to a program for use in a risk prediction training apparatus for performing a risk prediction training for an operator of a plant, wherein the danger prediction training apparatus includes:
A process of accepting a theme of danger prediction training and simulating the operation state of the plant corresponding to the theme;
A process of accepting an abnormal state obtained by brainstorming by an operator and simulating the abnormal state;
There is provided a program characterized by receiving a treatment for dealing with an abnormal state of a plant obtained by brain storming, and sequentially executing a processing for simulating an operation state of the plant responding to the treatment.

  ADVANTAGE OF THE INVENTION According to this invention, in the case of the danger prediction training of the operator of the plant who predicts and copes with the danger of a process, an operator's danger prediction capability can be improved effectively.

  In a preferred aspect of the danger prediction training apparatus of the present invention, the storage means includes at least one of the abnormal state, a cause of the abnormal state, an influence due to the abnormal state, and a treatment for dealing with the abnormal state. Holds a list that corresponds to. In this case, by displaying the list held in the storage device and the corresponding list obtained by brainstorming, both lists can be easily collated, and the training effect can be evaluated. Effective training can be performed.

  It is also a preferable aspect of the danger prediction training apparatus of the present invention that the simulator simulates an arbitrary operation state of the plant in time series. In this case, the operator can observe the simulation in correspondence with the actual time-series operation state of the plant, so that the contents of the simulation can be easily understood.

  The risk prediction according to the present invention further includes an evaluation unit that evaluates the input treatment with reference to a list of treatments included in the list of the storage means when an input of the treatment to cope with the abnormal state is received. This is a preferred embodiment of the training device. For example, a score taking importance into account for each treatment in the list is added to the treatment list in the storage means. By allowing the operator to compare the treatment selected by the operator with the standard treatment and its score, it becomes easier to understand the treatment selection method, and more effective risk prediction training is possible.

The block diagram of the danger prediction training apparatus which concerns on one Embodiment of this invention. The flowchart which shows the danger prediction training method which concerns on one Embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram of a danger prediction training device (training simulator device) according to an embodiment of the present invention. The training simulator device 10 includes a registration unit 11, a storage unit 12, a training / data reception unit 17, a simulation selection unit <instruction unit> 18, and a simulator 19.

  The registration unit 11 receives data created by the instructor and stores it in a predetermined storage location of the storage unit 12. Instructor-created data displays, for example, the theme of risk prediction training, the abnormal state in the plant process, the cause of each abnormal state, the effect of each abnormal state, and the action to deal with each abnormal state List to be included.

  In the storage unit 12, for example, as an example answer that the instructor wants the operator to come up with by brainstorming, the abnormal state created by the instructor, the cause of each abnormal state, the influence of each abnormal state, each abnormal state An instructor creation list 13 for storing a list of treatments to deal with is included. The storage unit 12 further stores a risk prediction training theme 14 scheduled by the instructor, an abnormal state 15 that is actually expected in the plant, a list 16 created by the operator through brainstorming, and the like.

  The training instruction / data receiving unit 17 receives the selection of a theme by an instructor, data created by an operator, etc., and saves it in the storage unit 12 or passes it to the simulation selecting unit 18. The simulation selection unit 18 selects an operation state to be simulated by the simulator 19 according to the theme selected in the danger prediction training and / or the selected abnormal state, and the simulator 19 simulates the plant in the operation state. To instruct. The simulator 19 simulates the operation state of the plant including the abnormal state instructed by the simulation selecting unit 18 in a time series and displays it on a display unit (not shown) of the simulator 19.

  FIG. 2 is a flowchart showing a risk prediction training method according to an embodiment of the present invention, which is performed using the training simulator apparatus 10 of FIG. The training instructor first selects a driving state including an abnormal event to be taken up in the danger prediction training as a theme (step 201). Next, the training instructor inputs the selected theme into the training simulator device 10. The training simulator device 10 simulates the operation state of the plant including the abnormal state, and displays it in time series as a simulation (step 203). The training participant observes the simulation (step 204).

  Next, the training participant moves to brain storming 205 of danger prediction training. A training participant performs brain storming 205 by a four round method based on the previous simulation observation. The training participants first enumerate the possible causes of abnormal process events in the first round of brainstorming 205 as much as possible using brainstorming (step 206). Next, in the second round, the possible causes listed in the first round are listed as much as possible to influence the process (step 207). In the course of the first and second rounds, the training participants perform brain storming 205 while observing with the training simulator device 10 as necessary (step 208).

  The training participant then refers to the simulation results from the list of possible causes in the first and second rounds of brainstorming 205 (steps 206, 207) and sees the most abnormal events in the assumed process. One of the most likely causes is identified (step 209). Next, the third round is entered, and treatment methods for dealing with the identified causes are listed (step 210).

  Next, the training participant again reproduces the abnormal event on the training simulator device 10 (step 211), and applies the previously specified treatment to the training simulator device 10 (step 212). Let it be simulated. The training participant observes the application result on the training simulator device 10 (step 213). If the treatment is insufficient, the process returns to step 203 (step 214), and the simulation is performed again. If necessary, observation step 204, first to third rounds of brainstorming 205 (steps 206, 207, 209, 210), and simulation (step 211), treatment (step 212), observation (step 213) repeat.

  If it is finally determined by the observation of the training simulator device 10 that the treatment is appropriate, the process proceeds to step 216 (step 215), and the fourth round of brain storming 205 is performed. List permanent measures such as revisions. Thereafter, the contents of the training are reflected and summarized (step 217), and if necessary, the equipment is remodeled and the work standard is revised (step 218).

  As described above, the simulator 19 of the training simulator apparatus 10 has a function of simulating the general operation state of the plant body and the detailed operation state. The plant body is controlled by, for example, a DCS <distributed control system> computer. The simulator 19 is a simulation plant realized on a personal computer, and receives input from an operator by a simulation DCS similarly realized on a personal computer.

  In the above embodiment, the training simulator apparatus 10 is equipped with a computer program specially developed for danger prediction training. This computer program operates the computer <training simulator apparatus> as follows.

  First, when a specific operating state including or not including an abnormal event is designated, the training simulator device 10 reproduces and simulates an arbitrary operating state of the plant in time series based on the designation. The training simulator device 10 holds a list of causes of abnormal events prepared in advance by a training instructor, their effects, and treatments for removing the causes. When the training simulator device 10 receives an input indicating that any treatment has been performed during the simulation operation, the training simulator device 10 simulates the operation state of the plant to which such treatment has been performed.

  The training simulator device 10 edits the simulation model with the permission of the administrator. For example, when the training simulator device 10 accepts the permanent countermeasure shown in the fourth round 216 of the brainstorming 205, it can perform a simulation of simulating a plant to which such a permanent countermeasure has been applied. Permanent measures include plant remodeling and work standard revisions.

  The training simulator device 10 can also display the cause obtained in step 209 in comparison with the cause registered in advance by the instructor in response to the input of the instructor or the operator. At that time, the list given by the operator can be compared with the list of instructors and scored.

  In the danger prediction training apparatus and the danger prediction training method of the present invention, a configuration is adopted in which danger prediction training for operators is performed by combining brain storming and simulation. Therefore, the operator can visually experience the abnormal state of the plant during the brainstorming or subsequent to it, and the change in the operational state of the plant due to the treatment for the abnormal state. This makes it easy to understand the training content, and as a result, the effectiveness of the risk prediction training is greatly improved.

  Although the invention has been particularly shown and described with reference to illustrative embodiments, the invention is not limited to these embodiments and variations thereof. It will be apparent to those skilled in the art that various modifications can be made to the present invention without departing from the spirit and scope of the invention as defined in the appended claims.

10: Training simulator device 11: Registration unit 12: Storage unit 13: Instructor creation list 14: Theme 15: Abnormal state 16: Operator creation list 17: Training / data reception unit 18: Simulation selection unit 19: Simulator

Claims (6)

A simulator that accepts operator input and simulates and outputs any operating state of the plant;
Storage means for storing an initial state corresponding to an abnormal state of the plant;
And an instruction means for instructing the simulator to simulate the operation state of the plant responding to the input from the initial state when there is an input of a measure for dealing with the abnormal state. Prediction training device.   The storage means holds a list associating the abnormal state with the cause of the abnormal state, the influence of the abnormal state, and at least one of the measures for dealing with the abnormal state, The danger prediction training device according to claim 1.   The danger prediction training apparatus according to claim 1, wherein the simulator simulates an arbitrary operation state of the plant in time series.   The apparatus further comprises an evaluation unit that evaluates the input treatment with reference to a list of treatments included in the list of the storage means when there is an input of the treatment to deal with the abnormal state. Item 4. The risk prediction training device according to any one of Items 1 to 3. A method for performing risk prediction training for plant operators using a risk prediction training device,
A step of accepting a theme of danger prediction training, a risk prediction training device simulating the operation state of a plant corresponding to the theme, and presenting it to an operator;
A danger prediction training device accepting an abnormal state obtained by brainstorming by an operator and simulating the abnormal state;
The danger prediction training apparatus sequentially includes steps for receiving a treatment for dealing with an abnormal state of the plant obtained by the brain storming and simulating an operation state of the plant responding to the treatment. Hazard prediction training method. A program for use in a risk prediction training device for performing risk prediction training for a plant operator, the risk prediction training device comprising:
A process of accepting a theme of danger prediction training and simulating the operation state of the plant corresponding to the theme;
A process of accepting an abnormal state obtained by brainstorming by an operator and simulating the abnormal state;
A program for receiving a treatment for dealing with an abnormal state of a plant obtained by brain storming and sequentially executing a processing for simulating an operation state of the plant responding to the treatment.

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