JP6667219B2 - Plan content confirmation system - Google Patents

Description

  The present invention relates to a plan content confirmation system for confirming the effectiveness of various planned events and business contents.

  For example, when a disaster occurs, the national government and local governments are forced to take various measures against the disaster. In this disaster response, the means to be selected differs depending on each disaster situation and the purpose of the activity. For example, when a huge earthquake occurs, it is assumed that residents will be buried alive and a fire will occur due to the collapse of houses. At this time, fire control is generally given priority, but whether to give priority to rescue of the residents or to fire control depends largely on the will of the responder in the place.

  It is conceivable that the local government will conduct disaster drills for disaster response, but it is necessary to draft a plan for this drill in advance. In addition, as a disaster prevention project plan support system, for example, there is one described in the following patent document.

  In this case, it is necessary not only to check whether the disaster preparedness training plan prepared by the local government is appropriate, but also to ensure that responders can make appropriate decisions when a disaster actually occurs. It is necessary to learn in advance. For example, there is a learning method using an E-learning system as one of the learning methods. In this E-learning system, a question is presented to a learner in a picture-story show format, and a correct answer (correct or incorrect) and a comment are shown for each answer or after all answers.

Japanese Patent No. 3656852

  However, in the conventional learning method (E-learning system), one is selected from a plurality of presentations and answered. However, at the site of a disaster, correct or incorrect answers are often not enough, making it less realistic. Therefore, a method of presenting a question without a clear correct answer and allowing the learner to select one option from a plurality of options can be considered. In this case, by successively preparing the following options for each option, the questions to be set vary depending on the selection of the learner, so that education according to the level of the learner is expected. However, in this case, since the actual event is classified into a small number of options and is exclusively selected, there is a possibility that the option that the learner wants to select is not prepared, or the learner wants to select multiple options. There is a possibility that the contents learned may not be used in a practice place.

  An object of the present invention is to solve the above-described problem, and an object of the present invention is to provide a plan content confirmation system capable of appropriately confirming and building a plan content in accordance with an actual event.

  In order to achieve the above object, a plan content confirmation system according to the present invention includes an input unit, a processing unit for confirming plan content, and a display unit, wherein the processing unit displays a plurality of processing items on the display unit. And a processing time estimating unit for estimating a processing time based on a processing item selected from the plurality of processing items by the input unit and a workload of the selected processing item, and a processing time of the processing item. An evaluation unit that evaluates the contents of the plan based on a deviation from a preset time limit and sends the plan contents to the display unit, wherein the input unit selects a plurality of processing items from the presented plurality of processing items. The processing time estimating unit estimates the processing time based on the plurality of processing items and the work amount ratio, wherein the processing time estimation unit is capable of inputting a work amount ratio in a plurality of selected processing items. It is.

  Accordingly, when the presentation unit sends a plurality of processing items to the display unit, the display unit displays the plurality of processing items, and the processing time estimation unit determines the processing item selected by the input unit and the work of the selected processing item. The processing unit estimates the processing time based on the quantity, and the evaluation unit evaluates the plan contents based on the deviation between the processing time of the processing item and the time limit and displays the result on the display unit. Therefore, the plan contents are evaluated based on the selected processing item and the work load, and the plan contents corresponding to the actual event can be appropriately confirmed and constructed. Further, the processing time estimating unit estimates the processing time based on the plurality of processing items and the workload ratio thereof, and the evaluation unit evaluates the plan contents according to the processing time obtained from the workload in the plurality of processing items. Thus, it is possible to appropriately confirm the contents of the plan according to the actual event.

  In the plan content confirmation system according to the present invention, the presentation unit corrects a processing item to be presented next in consideration of the processing item selected by the input unit.

  Therefore, the presenting unit corrects and presents the processing item to be presented next in consideration of the selected processing item, so that an appropriate processing item according to the selected content can be presented.

  In the plan content confirmation system according to the present invention, the processing unit is provided with a processing item leakage calculating unit that calculates a leakage of a processing item based on the evaluation content of the evaluation unit.

  Therefore, since the processing item omission calculation unit calculates the execution omission of the processing item based on the evaluation content of the evaluation unit, by confirming the processing item that could not be processed, the plan content can be properly evaluated.

  In the plan content confirmation system of the present invention, the evaluation unit calculates a total processing time obtained by summing the processing times of all the processing items, and evaluates the plan content based on a deviation from the target time.

  Therefore, since the plan contents are evaluated based on the deviation between the total processing time obtained by summing the processing times of all the processing items and the target time, the plan contents can be appropriately evaluated.

  In the plan content confirmation system according to the present invention, the evaluation unit calculates a leak processing item that could not be processed when the total processing time exceeds the target time.

  Therefore, when the total processing time exceeds the target time, the leakage processing items that could not be processed are calculated, so that the processing items that could not be processed can be properly grasped.

  In the plan content confirmation system of the present invention, the processing unit is provided with a plan creation unit that creates plan content, and the presentation unit presents a plurality of processing items based on the plan content created by the plan creation unit. It is characterized by:

  Therefore, by providing the plan creation unit for creating the plan contents, the processing unit can create the plan contents and execute the plan contents.

  In the plan contents confirmation system of the present invention, the processing unit is for supporting creation and learning of plan contents.

  Therefore, since the processing unit is for supporting the creation and learning of the plan contents, the system can be effectively used.

  According to the plan content confirmation system of the present invention, a presentation unit that presents a plurality of processing items, a processing time estimation unit that estimates a processing time based on the selected processing item and the amount of work, and a processing time of the processing item And an evaluation unit that evaluates the plan contents based on the deviation between the time limit and the time limit, the plan contents are evaluated based on the selected processing items and the workload, and the plan contents in accordance with the actual events are appropriately evaluated. You can check and build.

FIG. 1 is a schematic configuration diagram illustrating a plan content confirmation system according to the present embodiment. FIG. 2 is a configuration diagram illustrating a disaster response program execution unit. FIG. 3 is a configuration diagram illustrating a learning content evaluation unit. FIG. 4 is a flowchart showing the flow of processing for creating a disaster response learning program. FIG. 5 is a flowchart illustrating a flow of a process of executing the disaster response learning program. FIG. 6 is a flowchart illustrating a flow of a process of evaluating a learner who has executed the disaster response learning program. FIG. 7 is a schematic diagram illustrating an example of a response when a disaster occurs. FIG. 8 is a schematic diagram illustrating an example of a response when a disaster occurs. FIG. 9 is a schematic diagram illustrating an item selection screen on the display unit. FIG. 10 is a graph showing the relationship between the degree of damage and the amount of activity. FIG. 11 is a graph showing the relationship between resources and work speed. FIG. 12 is a schematic diagram of a screen for presenting a plurality of selection items. FIG. 13 is a schematic diagram of a screen showing details of a predetermined activity item. FIG. 14 is a schematic diagram of a screen for presenting a plurality of corrected selection items.

  Hereinafter, preferred embodiments of a plan content confirmation system according to the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the present invention is not limited by the embodiments, and when there are a plurality of embodiments, the embodiments include a combination of the embodiments.

  In the present embodiment, the plan content confirmation system of the present invention will be described as applied to a learning system for disaster response. That is, a disaster response learning program is created, and the learner executes the disaster response learning program, thereby learning the response at the time of disaster and evaluating the learner's response at the time of disaster.

  FIG. 1 is a schematic configuration diagram illustrating a plan content confirmation system of the present embodiment, FIG. 2 is a configuration diagram illustrating a disaster response program execution unit, and FIG. 3 is a configuration diagram illustrating a learning content evaluation unit.

  As shown in FIG. 1, the plan content confirmation system according to the present embodiment includes an input unit 11, a processing unit 12, a display unit 13, an output unit 14, and a data storage unit 15.

  The input unit 11 is, for example, a keyboard and a mouse, and is used when creating or executing a disaster response learning program (plan contents).

  The processing unit 12 has a disaster response learning program creation unit (plan creation unit) 21, a disaster response learning program execution unit (plan execution unit) 22, and a learning content evaluation unit (evaluation unit) 23. . Further, the processing unit 12 is connected to the data storage unit 15.

  The disaster response learning program creating unit 21 creates a disaster response learning program as the plan content. The disaster response learning program execution unit 22 is for the learner to execute the disaster response learning program created by the disaster response learning program creation unit 21. The learning content evaluation unit 23 evaluates a disaster response created by the learner according to the disaster response learning program executed by the learner.

  The disaster response learning program execution unit 22 has a presentation unit 31 and an activity time estimation unit 32, as shown in FIG. The presentation unit 31 sends a plurality of selection items (processing items) to the display unit 13 for display based on the disaster response learning program. The activity time estimating unit 32 performs an activity based on the activity item selected by the learner using the input unit 11 from the plurality of selection items presented (displayed) on the display unit 13 and the amount of work of the selected activity item. It estimates time.

  The learning content evaluation unit 23 includes an activity time evaluation unit 41 and an activity item omission calculation unit 42, as shown in FIG. The activity time evaluation unit 41 evaluates the activity item selected by the learner based on a deviation between the activity time based on the workload of the activity item estimated by the activity time estimation unit 32 and a preset time limit. is there. The activity item omission calculation unit 42 calculates an execution omission (execution omission) of the activity item based on the evaluation content of the activity time evaluation unit 41. As a result, the learning content evaluation unit 23 evaluates the response at the time of disaster created by the learner based on the deviation between the processing time of the activity item and the time limit, and the activity item that has not been executed.

  That is, in the disaster response learning program execution unit 22, the presentation unit 31 causes the display unit 13 to display a plurality of selection items based on the disaster response learning program. , A required activity item is selected using the input unit 11 and the work load of the activity item is input. When there is an answer from the learner to the presented plurality of selection items, the presentation unit 31 proceeds to the next step, and causes the display unit 13 to display the next plurality of selection items. On the other hand, the activity time estimating unit 32 estimates the activity time based on the activity item and the work load input from the learner. At this time, the presentation unit 31 can correct a plurality of selection items to be presented next in consideration of the activity item selected by the learner.

  The learning content evaluation unit 23 grasps the execution content of the disaster response learning program execution unit 22, and calculates the total activity time by summing the activity times of all the activity items when the disaster response learning program ends, Evaluate the disaster response prepared by the learner based on the deviation between the total activity time and the target time. Then, when the total activity time exceeds the target time, the learning content evaluation unit 23 calculates a leak processing item that could not be processed.

  The display unit 13 is, for example, a display. The display unit 13 is used when a designer creates a disaster response learning program using the disaster response learning program creation unit 21, and the learner uses the disaster response learning program execution unit 22. Is used to execute the disaster response learning program to learn and to check the evaluation from the learning content evaluation unit 23.

  The output unit 14 is, for example, a printer, and outputs the evaluation result of the learning content evaluation unit 23.

  The data storage unit 15 stores the disaster response learning program created by the disaster response learning program creation unit 21. Therefore, the disaster response learning program creation unit 21 retrieves and executes the disaster response learning program stored in the data storage unit 15.

  The display unit 13 displays a plurality of selection items sent from the presentation unit 31, and the input unit 11 selects one or more activity items from the plurality of selection items displayed on the display unit 13. A selection can be made, and a workload rate in a plurality of selected activity items can be input.

  7 and 8 are schematic diagrams illustrating an example of a response at the time of a disaster. For example, in the event of a massive earthquake, the collapse of houses can lead to the burial of residents and the occurrence of fires, so it is necessary to decide whether to focus on rescue of residents or control of fire. As shown in FIG. 7, in the case of the lifesaving rescue priority type, the order of arrival at the site, removal of debris / search for injured persons, rescue of injured persons, transportation of injured persons, and fire suppression are performed in this order. On the other hand, in the case of the fire suppression priority type response, the order of arrival at the site, securing of water use / fire point confirmation, preparation of water pipes, fire extinguishing and discharging, and rescue rescue are performed in this order.

  Also, when transporting equipment to the disaster-stricken area immediately after the occurrence of a disaster, a large amount of evacuees may flow out (exit) from the disaster-stricken area at this time. Decision makers need to decide what purpose the road will be used for. In other words, it is necessary to determine whether to give priority to the delivery of goods or the outflow of evacuees.

  In a conventional disaster response learning program, either one is selected, but in an actual disaster response, an intermediate response may be performed. In other words, fire suppression is given priority in a certain area, but life-saving rescue is given priority in some areas. In the same area, 80% of the power is devoted to fire suppression and the remainder is devoted to life-saving. Can be For this reason, in the disaster response learning program of the present embodiment, it is assumed that a plurality of items can be selected instead of only one from a plurality of selection items so that a response close to an actual decision can be made. In addition, the activity rate (work rate) can be input.

  FIG. 9 is a schematic diagram illustrating an item selection screen on the display unit. As shown in FIG. 9, when there are four selection items A, B, and C on the item selection screen on the display unit 13, the first input unit 51 that allows the learner to select the selection items A, B, and C. , 52, 53 are provided. When the learner wants to select a selection item other than the selection items A, B, and C, a first input unit 54 for adding the selection item is provided. For each of the first input units 51, 52, 53, 54 corresponding to the selection items A, B, C, D, the second input units 55, 56, 57, 58 capable of inputting the work load ratio are provided. Is provided. In the second input units 55, 56, 57, and 58, for example, a selection item A-80% and a selection item B-20% can be input as work load ratios. Further, as the work load ratio, the actual resources (the number of personnel) can be input as selection items A-50 and selection items B-15. Further, not only the ratio and the number of personnel but also the number of fire trucks and ambulances, the number of rescue squads, doctors, and the like can be input.

  In this case, the activity time estimating unit 32 in the disaster response learning program execution unit 22 estimates the processing time based on the work load ratio in a plurality of activity items.

  Hereinafter, the operation of the plan content confirmation system of the present embodiment will be described. FIG. 4 is a flowchart showing a flow of a process of creating a disaster response learning program, FIG. 5 is a flowchart showing a flow of a process of executing the disaster response learning program, and FIG. 6 is a flowchart of executing the disaster response learning program. It is a flowchart showing the flow of the process which evaluates a learner.

  First, processing for creating a disaster response learning program in the plan content confirmation system of the present embodiment will be described.

  In the process of creating a disaster response learning program by the disaster response learning program creating unit 21, as shown in FIG. 4, in step S11, an entire flowchart of the disaster response learning program is created. That is, a flow of activities for educating and verifying a disaster response learning program using a predetermined system, such as an emergency response plan and a project implementation plan, is created as a network diagram by the PERT method or the like. In step S12, a selection item to be presented to the learner is created. At a branch point of the network diagram created by the PERT method, an input point of a resource amount (the number of personnel, the number of specialists, the number of materials and the like) as a work amount ratio to be assigned to each selection item is set.

  In step S13, the work load, the work amount, and the activity scale in the selection items (activity items) are set. An activity amount according to a condition is defined for an activity item in which the activity amount fluctuates according to certain predetermined assumption conditions. For example, in the case of a disaster response, the degree of damage varies depending on the scale of the disaster, so if a severe disaster is assumed, rescue of the victims will take several days, but if minor damage is assumed, Complete in a few hours. In step S14, a relationship between resources and work time is set. That is, the activity time according to the resource allocated to each activity item is set. The activity time may be set by setting a standard time for a standard resource amount and multiplying the standard time by a coefficient that varies depending on the resource.

  FIG. 10 is a graph showing the relationship between the degree of damage and the amount of activity, and FIG. 11 is a graph showing the relationship between resources and the speed of work.

  When conducting learning assuming disaster response, damage estimation is important. In this damage assumption, assumed damage is assigned to each point on the map within a range in which a measure is assumed. In addition, the damage situation will be set for major mobile organs and roads. This damage assumption may be shown to the learner in the form of a map, or may be made to be estimated by the learner while learning. In order to confirm the damage status during the learning, it is set so that an answer can be obtained by inquiring the manager in charge of the place where the damage is set in advance.

  Then, since the damage assumption is set, the activity amount according to the type and degree of the damage can be set in advance. That is, as shown in FIG. 10, when the degree of damage increases, the amount of the activity increases, but when the damage has a predetermined size, the activity is limited, so that the amount of the damage becomes constant. In addition, as shown in FIG. 11, when the resources (personnel) increase, the speed of the work increases, but when the resource amount reaches a predetermined amount, the activity is limited, and thus becomes constant. Thus, the amount of work and the speed of work are defined.

  Here, the work speed may be the amount of business processing per unit time or the time required to complete a predetermined activity. Although the function is continuous in FIGS. 10 and 11, there is no particular restriction on the shape of the function. For example, in the case of firefighting activities, one team is formed for several people, so if sufficient personnel are not allocated to form one team, the work speed does not increase and the function becomes step-like. Emergency response often sets a target time because of the importance of promptness. For example, searching for an injured person at a building collapse site may not be performed at night for security reasons. This is equivalent to limiting the search target time to the time until sunset. Further, the degree of damage is not information selected by the learner but information provided by the plan content confirmation system.

Therefore, the activity time of each processing item can be expressed by the following equation.
Activity time = min (g (degree of damage) / f (resource), target time)
However, if the allocated resources are small, it takes a lot of time to complete the activity item. Therefore, if the resources are small, the activity item may not be completed within the target time. In this case, the execution of the activity item will be omitted.
Occurrence of activity omission = 1-(activity speed x activity time) / (activity amount)

  In step S15, a time limit is set for the selected item (activity item). For each activity item, determine the maximum time allowed for implementation. In step S16, the activity content at the time of occurrence of the activity omission item is added. An activity item to be executed when a predetermined activity item is not completely completed is extracted and reflected on a network diagram. In this case, a plurality of selection items are set in accordance with the ratio of the activity omission items (creation of selection item branch points), but this is not a selection by the learner, but is made according to the input contents of the learner. Is automatically selected by the system. In step S17, capture information for the added activity content is added. Select items and workload for newly added activity items as needed.

  When the disaster response learning program is created in this way, the disaster response learning program is stored in the data storage unit 15, and is taken out and executed in response to a command from the processing unit 12.

  Next, execution processing of the disaster response learning program in the plan content confirmation system of the present embodiment will be described.

  In the processing executed by the disaster response learning program by the disaster response learning program execution unit 22, as shown in FIG. 5, the processing unit 12 updates the time at step S21, and at step S22, updates the current time. Check to see if there are any activities to start. Here, if it is determined that there is an activity to be started (Yes), the presentation unit 31 causes the display unit 13 to display a plurality of selection items in step S23. On the other hand, if it is determined that there is no activity to start (No), the process proceeds to step S27. In step S24, the learner selects an activity item considered necessary from the plurality of selection items presented using the input unit 11 while looking at the display unit 13, and inputs the amount of work of the activity item.

  Then, in step S25, the activity time estimating unit 32 estimates the activity time based on the activity item input by the learner and the amount of work. Then, in step S26, the processing unit 12 changes the activity item selected by the learner to the active state. In step S27, processing unit 12 determines whether the activity time of the activity item selected by the learner has reached a preset time limit. Here, when it is determined that the activity time of the activity item has reached the time limit (Yes), in step S28, omission of the implementation activity item is calculated. In other words, when the activity item selected by the learner is composed of a plurality of tasks, when the time limit has elapsed, which task is performed and which task is not performed is calculated for each item and time. I do.

  On the other hand, if it is determined in step S27 that the activity time of the activity item has not reached the time limit (No), it is determined in step S29 whether there is an activity item completed when the activity time has elapsed. judge. If it is determined that there is an activity item that has been completed when the activity time has elapsed (Yes), the process proceeds to step S30. If it is determined that there is no completed activity item when the activity time has elapsed (No), the process proceeds to step S31. Then, in step S30, the learning content evaluation unit 23 changes the activity item selected by the learner to the end state, and calculates in step S31 the omission of the execution item.

  In step S32, processing unit 12 determines whether learning has been completed. If it is determined that the learning has not been completed (No), the process returns to step S21 and the process is repeated. If it is determined that the learning has been completed (Yes), the disaster response learning program ends.

  Next, an evaluation process for a learner in the plan content confirmation system of the present embodiment will be described. The evaluation process for the learner is executed in synchronization with the execution process of the disaster response learning program.

  In the process of evaluating the learning content of the learner by the learning content evaluation unit 23, as shown in FIG. 6, when the activity time estimation unit 32 calculates the activity time of each activity item in step S41, the activity time evaluation unit 41 Calculates the total activity time by summing the activity times of all the activity items when the disaster response learning program ends. Then, the disaster response prepared by the learner based on the deviation between the total activity time and the target time is evaluated. If the time obtained by subtracting all activities from the target time is positive, the evaluation is high, and if the time is negative, the evaluation is low.

  Then, in step S42, when the total activity time exceeds the target time, the activity item leak calculator 42 extracts a leak activity item whose activity could not be completed. In this case, not only the leaked activity items are extracted, but also the positions of the activity items that cannot be completed and are shifted in the middle of the activity items. In step S43, the learning content evaluation unit 23 extracts, as another parameter, a result amount (for example, a damage amount) depending on the selection of the learner.

  Then, in step S44, the evaluation (eg, score) of the learner is displayed on the display unit 13, and in step S45, the evaluation of the learner is output from the output unit 14.

  Here, the input processing by the learner will be described in detail. FIG. 12 is a schematic diagram of a screen presenting a plurality of selection items, FIG. 13 is a schematic diagram of a screen representing details of a predetermined activity item, and FIG. 14 is a schematic diagram of a screen presenting a plurality of corrected selection items. FIG.

  When the disaster response learning program is executed, a plurality of selection items are displayed on the display unit 13 by the presentation unit 31 as shown in FIG. In this case, the selection items of the learner are four disaster activities A, B, C, and D, and each item connected by an arrow is an activity item that is performed after the end of the large task on the upstream side. . The learner selects one or a plurality of activity items considered necessary from the four selection items presented by using the input unit 11 while looking at the display unit 13, and reduces the workload of the selected activity item. input.

  At this time, the learner can check the details of each major task. That is, when a predetermined large task is selected (clicked), small task data constituting the large task is displayed as shown in FIG. In this case, the small tasks t1 to t9 represent the flow of the activity items, and the learner confirms the details of the large task by using the small task data.

  Here, each activity item and the expected execution time are set in advance, and when the estimated execution time elapses during the learning, the activity is considered to be completed, and the learner is notified of the next activity. In the case of a severe disaster, since the initial response may be continuously performed for 72 hours or more, it is impractical to learn this at the same speed as the actual activity time. It is appropriate to set the progress faster than real time. Also, if the speed is uniformly increased, there is a concern that if the time interval is short, the learner may not be able to respond to the progress speed, so the progress speed varies variably according to the activity and the waiting time of the activity. It changes the speed.

  Referring back to FIG. 12, when the learner selects two selection items A and B, it means that the selection items C and D have not been selected. However, the selection items C and D are particularly important activities. If it is an item, not doing this is considered a problem. Therefore, when such an important activity item is not implemented, it is reconfirmed whether or not the implementation of the selection items C and D is selected from the selection items presented after the selection.

  As illustrated in FIG. 14, the processing unit 12 corrects and presents a selection item to be presented next. In this case, the selection items C and D are put in the middle of the activity items in the large task and presented. That is, the selection items C and D that are not selected are presented as the selection items C and D again after the activities directly related to the selection items A and B are completed. Therefore, when the activity items A and B are completed, the learner is presented with the selection item C, the selection item D, and the measure plan. At this time, assuming that the learning is to formulate a countermeasure after the end of the activity items C and D, the learner selects only the activity items C and D and does not select the countermeasure planning. In this case, when a series of activities of the activity items C and D are completed, the learner is again instructed to take measures.

  As described above, in the plan content confirmation system of the present embodiment, the input unit 11, the processing unit 12 for executing the disaster response learning program, and the display unit 13 are provided, and a plurality of selection items are displayed as the processing unit 12. A presentation unit 31 to be sent to the unit 13; an activity item selected from the plurality of selection items by the input unit 11; and an activity time estimation unit 32 for estimating a processing time based on the work amount of the selected activity item; And a learning content evaluation unit 23 that evaluates the learning content of the learner based on a deviation between the activity time of the learner and a preset time limit and sends it to the display unit 13.

  Therefore, when the presentation unit 31 sends a plurality of selection items to the display unit 13, the display unit 13 displays the plurality of selection items, and the activity time estimation unit 32 determines the activity item selected by the input unit 11 and the selected activity item. The activity time is estimated based on the amount of work of the activity item, and the learning content evaluation unit 23 evaluates the learning content of the learner based on the deviation between the activity time of the activity item and the time limit and displays it on the display unit 13. I do. Therefore, the learning content is evaluated based on the selected activity item and the workload, and the activity content corresponding to the actual event can be appropriately confirmed and constructed.

  In the plan content confirmation system of the present embodiment, the input unit 11 can select a plurality of activity items from the presented plurality of selection items, and can input a work amount ratio in the selected plurality of activity items, The activity time estimating unit 32 estimates an activity time based on a plurality of activity items and a work load ratio. Therefore, the learning content evaluation unit 23 evaluates the learning content according to the activity time obtained from the amount of work in the activity item, and can appropriately confirm the learning content according to the actual event.

  In the plan content confirmation system of the present embodiment, the presentation unit 31 corrects and presents the next selection item to be presented in consideration of the activity item selected by the input unit 11. Therefore, an appropriate activity item according to the selected content can be presented.

  In the plan content confirmation system of the present embodiment, an activity item leakage calculation unit 42 that calculates a leakage of an activity item based on the evaluation content of the learning content evaluation unit 23 is provided as the processing unit 12. Therefore, by confirming the activity items that could not be activated, the learning content can be properly evaluated.

  In the plan content confirmation system of the present embodiment, the learning content evaluation unit 23 calculates the total activity time obtained by summing the activity times of all the activity items, and evaluates the learning content based on the deviation from the target time. Therefore, the learning content can be properly evaluated.

  In the plan content confirmation system of the present embodiment, when the total processing time exceeds the target time, the learning content evaluation unit 23 calculates a leak activity item that could not be processed. Therefore, it is possible to properly grasp the activity items that could not be activated.

  In the plan content confirmation system of the present embodiment, the processing unit 12 is provided with a disaster response learning program creating unit 21 that creates a disaster response learning program. The selection items are presented. Therefore, the processing unit 12 can create the disaster response learning program and execute the disaster response learning program.

  In the above-described embodiment, the plan content confirmation system of the present invention is applied to a learning system in response to a disaster, but the present invention is not limited to this. For example, it is possible to create a highly evaluated evacuation drill plan or to confirm a highly evaluated evacuation drill plan from multiple evacuation drill plans, and apply it as a check of the plan contents of various events and duties. be able to.

DESCRIPTION OF SYMBOLS 11 Input part 12 Processing part 13 Display part 14 Output part 15 Data storage part 21 Disaster response learning program creation part 22 Disaster response learning program execution part 23 Learning content evaluation part (evaluation part)
31 presentation unit 32 activity time estimation unit (processing time estimation unit)
41 Activity time evaluation unit 42 Activity item leakage calculation unit (processing item leakage calculation unit)

Claims (7)

An input unit,
A processing unit for checking the contents of the plan,
A display unit,
With
The processing unit includes:
A presentation unit that sends a plurality of processing items to the display unit;
A processing time estimating unit that estimates a processing time based on a processing item selected by the input unit from a plurality of processing items and a workload of the selected processing item;
An evaluation unit that evaluates the plan contents based on a deviation between the processing time of the processing item and a preset time limit, and sends the plan content to the display unit;
Has,
The input unit is capable of selecting a plurality of processing items from the presented plurality of processing items, and is capable of inputting a work load ratio in the selected plurality of processing items, and the processing time estimating unit includes: Estimating the processing time based on the item and the work load ratio,
A plan content confirmation system characterized by the following.   The plan content confirmation system according to claim 1, wherein the presentation unit corrects a process item to be presented next in consideration of a process item selected by the input unit.   The plan content confirmation system according to claim 1, wherein the processing unit is provided with a processing item omission calculating unit that calculates an execution omission of a processing item based on the evaluation content of the evaluation unit.   4. The method according to claim 1, wherein the evaluation unit calculates a total processing time obtained by summing processing times of all processing items, and evaluates a plan based on a deviation from a target time. 5. The plan content confirmation system described in one paragraph.   5. The plan content confirmation system according to claim 4, wherein when the total processing time exceeds the target time, the evaluation unit calculates a leak processing item that could not be processed.   The method according to claim 1, wherein the processing unit is provided with a plan creation unit that creates plan contents, and the presentation unit presents a plurality of processing items based on the plan contents created by the plan creation unit. A plan content confirmation system according to claim 5.   7. The system according to claim 1, wherein the processing unit supports creation and learning of the plan contents. 8.

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