JP2008216703A - Design support device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To quantitatively grasp the learning level of designing contents covering a many fields. <P>SOLUTION: A design support device for calculating and displaying the learning level by operating a design calculation means comprises: an input value data storage section 12 storing inputted information; a calculation executing section 24 wherein the design calculation means can operate; and execution frequency data storage section 11 wherein the field, classification name, ID, execution frequency, first execution date, and the last execution date of the formula executed by the design calculation means are associated and recorded. When numeric values necessary for the formula are inputted in an input/output device 10, the combination of the inputted numeric values are compared with the combination of the numeric values stored in the input value data storage section 12 and, when they do not coincide, the execution frequency is added and stored in the execution frequency data storage section. Based on the stored execution frequency and acquisition frequency predetermined for each ID, the learning level is calculated and displayed. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a design support apparatus for a designer such as the machine / architecture field to efficiently perform a business when performing a design calculation, and in particular, learning for modeling a calculation formula or form necessary for the design calculation. It is suitable for applying to the above.

Learning materials that use computers, networks, etc. accumulate learning content and course information, and display the evaluation in the output to facilitate the understanding of learning progress and improve learning motivation. There is a device to do. As an example for achieving this function, an apparatus has been devised that stores learning points for an exercise problem so that the points can be reconfirmed after completion of learning.
In addition to the learning materials, as an example for the purpose of grasping the progress and improving motivation, in the case of a game program using a computer, the score obtained by recording or acquiring the time required for the player to perform a certain task There is a method of accumulatively adding them and displaying them on the screen as results, for example, as described in Patent Document 2.

JP 2003-84655 A JP 2002-355439 A

Design calculation means (hereinafter referred to as “design content”) such as a calculation formula necessary for the design calculation of the structure covers many fields. When learning design content, it is necessary to increase the level of mastery of whether it can be used correctly for the actual design object. The level of learning can be achieved by carrying out a number of tasks. In addition, when a plurality of design contents can be applied, the applicability (skill level) of quickly finding the optimum design contents varies depending on the use frequency of the design contents.
In the above prior art, the content related to the learning level is not selected from the execution history, and since the implementation date and elapsed days leading to the skill level are not taken into account, the learning level is determined from the history displayed on the output device. It is difficult to quantitatively grasp the skill level.

  The purpose of the present invention is to solve the above-mentioned problems of the prior art, quantitatively grasp the mastery of design contents in various fields, and clarify the skills acquired by the learner not only for the learner but also for others. This is to facilitate evaluation.

  In order to achieve the above-mentioned object, the present invention shows whether or not a designer can correctly use a plurality of design calculation means required for design calculation of a structure when the designer learns the target structure. A design support apparatus that calculates and displays a learning level by executing the design calculation means from information input to an input / output device by a designer, and stores information input from the input / output device Input value data storage unit, calculation execution unit that can be executed by the design calculation unit, field of calculation formula executed by the design calculation unit, classification name, ID, number of executions, date of first execution of the calculation formula And an execution frequency data storage unit that records the execution date in association with each other, an input screen required for the calculation formula is displayed, and a designer inputs the numerical value required for the calculation formula. When input to the output device, The combination of numerical values input and the combination of numerical values stored in the input value data storage unit are compared. If they are not the same, the number of executions is added and stored in the execution number data storage unit. The learning level is calculated and displayed based on the number of times of execution and the number of times of learning predetermined for each ID.

  According to the present invention, since the learning level is calculated based on the number of executions of the calculation formula, the learning level can be quantitatively grasped even for design contents in many fields. Therefore, the skills acquired by the learner can be clearly understood not only by the learner but also by others, so even if complicated design calculations are involved, such as in the fields of machinery and architecture, the skill You can assign designers and work efficiently.

An embodiment of the present invention will be described with reference to the drawings.
FIG. 1 shows an overall configuration diagram. The design support apparatus 1 performs an execution number data storage unit 11, an input value data storage unit 12, extracts information stored in these storage units, or writes new information. The recording input / output processing unit 21 and the execution recording input / output processing unit 21 are configured in cooperation with a learning status display processing unit 22 that displays a learning status on a screen.
There is a calculation execution unit 24 that executes design calculation at the time of learning, and a calculation screen display processing unit 23 that acquires input values used for calculation and displays execution results on the screen in cooperation with the calculation execution unit 24. The calculation screen display processing unit 23 extracts data from the teaching material display / execution data storage unit 13 in which calculation formulas used as teaching materials for design calculation, diagrams and tables for screen display, and the like are displayed on the screen. I do. In these operations, information exchange with the operator is performed via the input / output device 10.

An example of the contents of the execution frequency data storage unit 11 is shown in FIG. Items and values such as the field and classification ID of the calculation formula, the classification name indicating the name of the classification, the calculation formula ID, the number of executions corresponding to each calculation formula ID, the date of the first execution and the date of the last execution Yes, they are recorded in association with each other. The classification is grouped according to the form of the structure to which the calculation formula is applied, and a list display screen used by the learner is shown in FIG. 3 as an example of calculation contents in which the classification ID is classified as H01. The ID indicates a number, a symbol, a character string, or the like used for identifying the classification of recorded data.
As shown in calculation formula IDs “SM-H01-01” to “SM-H01-05”, a plurality of patterns having different restraint methods, restraint portions, load methods, and load portions with respect to shapes classified as “straight beams” There is. In the upper right of the screen, a learning level (or a learning level rank such as A, B, C, D) SD for a classification ID of H01 described later is displayed. An example of the input value data storage unit 12 is shown in FIG. A plurality of input values input by the learner during learning are stored so as to be associated with the calculation formula ID. The data structure in the present embodiment shown in FIGS. 2 and 4 is in a table format using a matrix for the sake of explanation, but it is sufficient that the values of the items are arranged so as to be related.

The function of the input value data storage unit 12 will be described using the calculation screens shown in FIGS. 5 and 6 and the operation flow shown in FIG.
The screen of FIG. 5 is an input screen for calculation formula ID “SM-H01-01” (fixed at one end, concentrated load model), and the screen of FIG. 6 is a display screen of calculation results. In addition, the learning level and the skill level in the present embodiment are expressed by numerical values, and are referred to as “skill level SD” and “skill level EP”, respectively. The learning level and the skill level may be ranked like A, B, C, D. The learner displays the screen of the calculation formula ID “SM-H01-01” via the input / output device 10 shown in FIG. 1 (step S101). Next, the learner satisfies the conditions indicated in the task, such as a load value of 100 (N), a total length of the beam of 300 (mm), and a Young's modulus of the material constituting the beam of 196000 (N / mm ² ). A numerical value is originally input (step S102).
When the “Calculation execution” button at the lower right of the screen is pressed, the input value is stored in the input value data storage unit 12 via the execution record input / output processing unit 21 (step S103). Here, the implementation record input / output processing unit 21 searches the data of the calculation formula ID “SM-H01-01” stored in the input value data storage unit 12 for any combination of the same numerical values ( Step S
104). If there is no identical combination, the execution count data storage unit 11 is accessed and the execution count N is added (step S105). If there is, it is determined that the course has been completed, and an additional write to the execution count data storage unit 11 is omitted.

  Then, calculation is performed by the calculation execution unit 24 based on the input value (step S106), and a result display screen as shown in FIG. 6 is output by the calculation screen display processing unit 23 (step S107). In the example of the result display screen shown in FIG. 6, the content of the input value shown in FIG. 5 is shown at the top of the screen, and the “reaction force” calculated by the calculation formula ID “SM-H01-01” at the bottom of the screen. The distribution of calculated values such as “deflection”, “bending moment”, etc. is displayed using diagrams.

Next, the function of the execution count data storage unit 11 is shown using a learning status display screen as shown in FIG. 8 and an operation flow shown in FIG.
When the learner selects a menu for displaying the learning status via the input / output device 10 shown in FIG. 1, the learning status display processing unit 22 reads the name of the calculation formula from the teaching material display / execution data storage unit 13. The data of “tree structure” in which is associated with each field is acquired (step S201). Here, the classification name and the classification ID are extracted in association with the “tree structure” data.
Next, the number of executions corresponding to the classification ID and data of the execution date are acquired from the execution number data storage unit 11 (step S202). Based on the acquired data, the learning level SD and the skill level EP are calculated (step S203), and are displayed on the screen side by side with the formula name in the form of, for example, a bar graph or a numerical value (step S204).

An example of a method for calculating the learning frequency SD in step S203 is shown in FIGS.
Shown using (c).
The learning frequency JC for setting the learning frequency SD to be 100% is set in advance for each classification ID, and SD (%) = (Nav) using the average frequency Nav and the performance factor K. ÷ JC) x K x 100. The average execution number Nav is a value obtained by averaging the execution number N of each calculation formula ID stored in the execution number data storage unit 11 for each classification ID. The implementation factor K is a coefficient added when there is an unimplemented calculation formula ID in each classification ID. If all calculation formula IDs corresponding to each classification ID are executed, “1.0”, one However, if there is something not implemented, it was set to “0.5”.

When the learner executes a program in the learning status display unit via the input / output device 10 shown in FIG. 1, learning that is set in advance for the number N of implementations extracted from the implementation number data storage unit 11. Using the number of times JC, SD = Nav ÷ JC × K × 100 = 9.0 ÷ 10 × 1.0 ×
100 = 90, and the learning frequency SD is evaluated as 90%.
In the manner described above, the learning frequency SD for all the classification IDs is obtained, and it can be written together with the menu corresponding to the classification ID as in the screen shown in FIG. . In addition to the example shown in FIG. 7, as shown in FIGS.
The value (88% or 90%) of the learning frequency SD is displayed on the screen of the calculation formula ID “SM-H01-01” of “H01”. At this time, the calculation screen display processing unit 23 has the function of the learning status display processing unit 22 or the value calculated by the learning status display processing unit 22 is stored in the data storage unit. Can be used.

The value of the learning frequency SD (88%) displayed in FIG. 5 is before execution of the calculation using the calculation formula ID “SM-H01-01”, and the average number of executions Nav at this time is 8.8 times. Learning frequency SD = Nav ÷ JC × K × 100 = 8.8 ÷ 10 × 1.0 × 100 = 88 (%). Further, the learning frequency SD becomes a value of 100% or more when the average execution number Nav exceeds the prescribed learning number JC, and may be replaced with 100% using a program or the like. The calculation formula of the learning frequency SD, the coefficient to be used, the learning frequency JC set in advance, and the display method of the calculated value via the input / output device 10 may be changed as necessary.

An example of a method for calculating the skill level EP in step S203 is shown in FIGS.
Shown using (c). It is assumed that the skill level EP is expressed by the equation EP = SD × L using the master level SD and the non-forgetting factor L. The non-forgetting factor L is a value that changes depending on the period from the date of calculation to the date of displaying the skill level EP on the screen (referred to as “EP value display date”). In this embodiment, FIG. As shown in FIG.
The non-implementation period D is obtained by subtracting the last implementation date extracted from the implementation count data storage unit 11 from the EP value display date. The non-forgetting factor L is determined according to a period in which the non-implementation period D is set in advance. For example, when the minimum non-execution period with the classification ID H01 is 365 days or less, the non-forgetting coefficient L = 10. At this time, the skill level EP with the classification ID H01 is EP = SD × L = 90.0 × 10 = 900. Further, the skill level EP having the classification ID S02 is 150. For classification IDs H01 and S02, SM-H01-01 and SM-S02-01 of calculation IDs have the same maximum implementation count of 12, but the non-implementation period of SM-H01-01 is short. It can be confirmed that there is a large difference in the skill level EP due to the fact that the acquisition level SD is high. And the skill level EP increases by implementing the calculation formula in classification ID uniformly and experiencing various calculations.

  The proficiency level EP can be used as a guideline for grasping the areas of strength and weakness based on the experience of design work using the design calculation system, without simply ending with learning using the design support device. This makes it possible to clearly show the skills acquired by the learner to those other than the learner.

  In the above example, among the contents displayed on the screen or the like via the input / output device 10, the name used for the design content may be a calculation formula itself, a figure associated with the calculation contents or the design contents, In addition, the display method of the learning level (skill level SD) and the skill level (skill level EP) can be expressed by using different shapes or colors, or by using speech, etc., as long as it can be associated with the difference in each level. good.

  Since the calculation formulas and the items used in the calculation of the learning level SD and the skill level EP used are the minimum necessary contents, various items and coefficients are set according to the contents of the design contents and the application. It is desirable to use and calculate, and to add to the implementation number data storage unit 11 and the input value data storage unit 12. In addition, when the contents stored in the execution count data storage unit 11 and the input value data storage unit 12 are targeted for a plurality of learners or are specified via a network, identification information such as a user ID is added. There is a need to.

  In the example of the calculation screen as shown in FIG. 5, when a physical property value of a material is included in an input value, the value can be extracted in cooperation with the material database. 23 and a material database (not shown).

The flow shown in FIG. 6 is one example, and the calculation execution process of S106 is performed from S102 to S102.
Any number between 107 is acceptable. And the data input by the process of S102 is not limited to a numerical value. The same applies to the flow shown in FIG.
The number-of-executions data storage unit 11 and the input value data storage unit 12 are divided into two parts in order to clarify the difference in each function. There is no need to split.

1 is a block diagram showing the overall system configuration of an embodiment according to the present invention. The block diagram which shows the data structure of the implementation frequency data storage part of one Embodiment. The selection screen of the calculation model by one Embodiment. The block diagram which shows the data structure of the input value data storage part by one Embodiment. The screen before calculation execution by one Embodiment. The display screen of the calculation result by one Embodiment. The flowchart which shows the process at the time of calculation by one Embodiment. The display screen of the learning frequency by one Embodiment. The flowchart which shows the process at the time of calculation of the learning frequency by one Embodiment. The block diagram which shows the data example of the implementation frequency data storage part by one Embodiment. The block diagram which shows each data example by one Embodiment.

Explanation of symbols

1 Design Support Device 10 Input / Output Device 11 Implementation Time Data Storage Unit 12 Input Value Data Storage Unit 13 Teaching Material Display / Execution Data Storage Unit 21 Implementation Record Input / Output Processing Unit 22 Learning Status Display Processing Unit 23 Calculation Screen Display Processing Unit 24 Calculation execution part

Claims (4)

When a designer learns a plurality of design calculation means required for design calculation of a structure, the designer learns to the input / output device whether he / she can use it correctly for the target structure. A design support apparatus that calculates and displays by executing the design calculation means from input information,
An input value data storage unit for storing information input from the input / output device;
A calculation execution unit capable of executing the design calculation means;
An execution frequency data storage unit that records the field of the calculation formula executed by the design calculation means, the classification name, the ID, the execution count, the initial execution date and the final execution date of the calculation formula in association with each other,
When an input screen required for the calculation formula is displayed and the designer inputs a numerical value required for the calculation formula to the input / output device,
The combination of numerical values inputted and the combination of numerical values stored in the input value data storage unit are compared, and if they are not the same, the number of executions is added and stored in the execution number data storage unit,
A design support apparatus that calculates and displays the learning level based on the stored number of times of execution and the number of times of learning predetermined for each ID.   2. The non-forgetting coefficient determined according to claim 1, wherein a non-execution period is obtained from a final execution date of the calculation formula, a non-forgetting coefficient is determined from the non-execution period predetermined for each ID, And a design support apparatus that calculates and displays the skill level based on the learning level.   The design support apparatus according to claim 1, wherein the learning level is displayed on an input screen required for the calculation formula or a screen showing a calculation result of the calculation formula.   3. The design support apparatus according to claim 2, wherein the learning level and the skill level are displayed together with a name of the calculation formula.

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