JP2009176058A - Risk evaluation slip generation system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a risk evaluation slip generation technique capable of generating a risk evaluation slip as an item group corresponding to the actual situation of an object to be evaluated. <P>SOLUTION: A system for generating the risk evaluation slip where a plurality of evaluation items for performing the risk evaluation are listed includes: a server 100 for generating the risk evaluation slip; an item database 200 for storing data which are evaluation item data prepared for constituting the evaluation items and also are the data including attributes to which flags which indicate whether the item data are put on the evaluation slip or not are set; a risk evaluation slip generation terminal 300 connected to the server 100 and performing input/output processing when the risk evaluation slip is generated; and an accident-related database 400 for storing an index which indicates the degree of the risk calculated on the basis of the data about the accident, while updating the index. The item database 200 sets a part of the flag on the basis of the index indicating the degree of the risk. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a technology for creating a risk assessment form in which assessment items for risk assessment are listed.

  Until now, risk assessment methods can be broadly classified into two methods: simple risk assessment (question questionnaire type) and risk survey assessment (on-site survey type). Simple risk evaluation (question questionnaire type) obtains information necessary for evaluation by inputting into questionnaire items using a questionnaire (questionnaire). On the other hand, risk survey evaluation (on-site survey type) obtains information necessary for evaluation from a checklist. In both cases, the evaluation method is based on certain items.

  For example, Patent Document 1 discloses a checklist for questionnaires and interviews used in a risk management system.

JP 2002-36634 A (paragraphs 0023 and 0024, FIGS. 2 and 3)

  In inputting risk assessment in the risk management disclosed in Patent Document 1 described above, a questionnaire and a checklist are used. These questionnaires and checklists have fixed answer items. If the answer items such as questionnaires are fixed, it is convenient for risk assessment in a typical case suitable for the answer items.

  However, in the case of actual risk assessment, for example, even in the transportation business, it is not realistic that the evaluation items are all common in aviation, land and sea. For example, there may be a lack of necessary items for one side, and there may be unnecessary items for the other side.

  In such a case, as a conventional measure, an item cannot be added in accordance with a change in circumstances such as a change in circumstances occurring in the evaluation target, a change in environment, and the like, and thus there is no evaluation for that item. On the other hand, items that are not required to be evaluated cannot be deleted, and are dealt with by entering appropriate constant values. Therefore, the evaluation is distorted according to the degree of influence by these items.

  An object of the present invention is to provide a risk evaluation form creation technology that can create a risk evaluation form in which evaluation items for risk evaluation are listed as an item group corresponding to the actual condition of an evaluation target.

  The present invention provides a system for creating a risk evaluation form in which a plurality of evaluation items for performing risk evaluation are listed. This system is connected to the server for creating the risk assessment vote, the item database for storing the assessment item data prepared in advance to constitute the assessment item, and the input / output when creating the risk assessment vote. A risk evaluation form creating terminal device for processing, and an accident-related database that accumulates while updating an index indicating the degree of risk calculated based on the data relating to the accident.

Here, the item database is a storage device that stores a plurality of evaluation item data for forming an evaluation vote together with an attribute including association information indicating whether the item is put on the evaluation vote, and a storage device And a data management device for managing data stored in. Further, the data management device is configured to acquire an index indicating the degree of risk from the accident-related database and an attribute of each evaluation item stored in the storage device based on the acquired index indicating the degree of risk. Means for performing setting update processing of association information in
In response to a search request specifying an attribute sent from the server, the pre-storage device is searched for an evaluation item having an attribute in which the association information is set to related in the specified attribute, and is searched. And a means for searching for a risk coefficient, which sends data on the evaluation item to the server that is the search request source.

  In addition, the server instructs the item database to search for evaluation item data to be placed on the evaluation vote for the attribute designation received from the risk evaluation vote creating terminal device and the attribute for which the designation has been accepted. A means for obtaining evaluation item data corresponding to the instructed attribute from the item database, a risk evaluation form is created based on the obtained evaluation item data, and a risk evaluation form is created and sent to the terminal device Means.

  A terminal device for creating a risk assessment form, connected to the server, accepts attribute designation for creating a risk assessment form, sends information designating the attribute to the server, and requests transmission of the assessment form; And means for obtaining a risk assessment form sent from the server, and means for accepting an input process for the obtained risk assessment form and sending the inputted items to the server.

  The present invention is suitable for creating an evaluation sheet used for risk evaluation when the magnitude of the risk constantly fluctuates.

  Hereinafter, embodiments will be described with reference to the drawings. In the following embodiments, for the purpose of evaluating the risks that occur in logistics, the items to be evaluated, the contents to be evaluated for those items, and the corresponding to them, in accordance with the changes in the environment, circumstances, etc. of the site A case where a risk assessment form in which a plurality of options indicating evaluation are described is automatically created will be described as an example. Specifically, it is assumed that the evaluator is an insurance company and the evaluation target is a survey object (a warehouse or the like) to be insured. Of course, the application target of the present invention is not limited to physical distribution.

  The risk evaluation vote in the present embodiment includes an evaluation item corresponding to a question of about 50 items to 1,000 items and a plurality of options corresponding to responses to the evaluation items. This risk evaluation form is provided as a form in which the evaluation for each item can be input at the terminal device that requested it.

  For example, as schematically shown in FIG. 16, it is configured in a questionnaire form. In the example shown in FIG. 16, for each item, the item number 3731 given in the evaluation vote in which the items are listed, the middle item 3732 and the small item 3733 showing the items in a hierarchy, and the items to be evaluated “Content” 3734 indicating the content, evaluation options 3736, 3738, and 3740 prepared as answers to the content to be evaluated for the item, and weights (W1) 3735 ( W2) 3737 and (W3) 3739 are set. Note that the number of options is not limited to three.

  The area to be recorded is composed of a plurality of records, which are classified by classification 3742. This classification can be said to be a major item of the items described above. That is, an evaluation item is configured by the classification 3742, the middle item 3732, the small item 3733, and the content 3734. In addition, the evaluation item is combined with an option as an answer to the evaluation item. Therefore, an evaluation item and a corresponding option constitute a unit of evaluation.

  In the present embodiment, the classification is schematically expressed as classifications A, B, and C by symbols. Actually, the specific contents of the classification are written. For example, when classification is made at the stage of physical distribution, classification A is classified as “before container arrival”, classification B as “container arrival”, classification C as “storage”, and the like. Question items distributed to the respective categories are arranged in each classified region. In the example shown in FIG. 16, 1 to m are arranged for classification A, 1 to n for classification B, and 1 to o for classification C. The number of items in each classification varies depending on the attribute. For example, m = 50, n = 70, o = 100, etc. Of course, it is not always a good number. In this embodiment, the serial number of the evaluation item in each classification is assigned to the item number 3731.

  In addition, X, Y, and Z are set as evaluation scores for the options 3736, 3738, and 3740, respectively. For example, grades (points) are set as “X = 3, Y = 2, Z = 1”. The evaluation is performed by selecting an answer to the content (question) to be evaluated, that is, any one of the options. When an option is selected, a score given in advance to the option is given as an evaluation score. If there is a weight W, it is multiplied.

  As items, a plurality of kinds of middle items 3732 are arranged in one classification. Examples of the middle items include “packing” and “transportation state”. As the small items, for example, “cardboard box”, “corner protector” and the like can be cited as further developed “packaging”. “Content 3734” indicating the content to be evaluated is provided for the small item correspondence. In this “content”, for example, “cardboard box”, two items are defined with different item numbers. “Structure / strength” and “machining / finishing accuracy” are shown as contents to be evaluated for each sub-item corresponding to “cardboard box”.

  The evaluator who uses this evaluation form selects any one of the evaluation options 3736, 3738 and 3740 for each item based on the evaluation form image displayed on the display device 370 (see FIG. 9) of the terminal device 300. By selecting this option and selecting a corresponding area via the input device 360 (see FIG. 9), it is possible to input an evaluation for the item.

  The items of the evaluation vote are input in advance and stored in the storage device 250 of the item database (DB) 200 described later. Items can be edited, such as addition and deletion of items, rewriting of items described, and the like, using an edit screen 3750 schematically shown in FIG. The edited evaluation item data updates the evaluation item working file 255 (see FIG. 6). For editing the evaluation items, an edit selection button (not shown) is provided on the screen on which the questionnaire shown in FIG. 16 is displayed, and an instruction operation from the input device to this button is accepted, whereby the edit shown in FIG. 14 is performed. This is done by switching to a screen 3750. The editing screen 3750 is displayed on the display device 370 of the terminal device 300 shown in FIG. 9, for example.

  The edit screen 3750 shown in FIG. 14 displays a table showing a part of the questionnaire shown in FIG. 16 in the same format. That is, an edit area 3751 for receiving edits for items 3731 to 3740 displayed on the questionnaire is displayed. In addition, with respect to editing items, an edit item key of an item addition button 3752, a deletion button 3753, and a rewrite button 3754 and a key of an execution button 3755 for executing editing are displayed.

  The editing operation can be performed remotely from the terminal device 300 via the server 100. Further, the server 100 can perform an editing operation on the item DB. Further, it can be performed in the item DB 200 itself.

  For example, when a selection is received for a desired line in the editing area 3751 and an instruction operation to the add button 3752 is received using a cursor (not shown) via the input device 360 shown in FIG. Is added to the selected line in the editing area 3751 and displayed. A new item can be added to the blank line by accepting an input of necessary items via the input device 360. In addition, when a selection of a target line in the editing area 3751 is accepted by a cursor (not shown) via the input device 360 and an instruction operation of the delete button 3753 is accepted, the selected line is deleted. Similarly, when a selection of a target line in the editing area 3751 is accepted by a cursor (not shown) via the input device 360 and an instruction operation of the rewrite button 3754 is accepted, the selected line can be input. The input device 360 accepts input of necessary items and deletion of unnecessary items. After these processes, when an instruction operation of the execution button 3755 is accepted via the input device 360, the data is stored in the storage device 250 based on the data that has been edited by either addition, deletion, or rewriting. The process of updating the evaluation item data active file 255 is executed.

  Note that the classification rule 2521 in the item edit rule file 252 (see FIG. 6), which will be described later, can be referred to as to which classification the added item belongs. Moreover, it can also be set as the structure which replaces any existing item instead of rewriting the description matter of an item. In that case, the item replacement rule 2522 of the item editing rule file 252 can be referred to as to which item is to be replaced.

  Next, an outline of a system for performing risk evaluation used in the present embodiment will be described with reference to FIG.

  A system for performing risk evaluation shown in FIG. 1 includes a server 100 that creates a risk evaluation vote and performs risk evaluation, and an item database (abbreviated as item DB) 200 that accumulates data related to evaluation items for risk evaluation. The terminal device 300 for connecting to the server 100 and performing input / output processing when creating a risk assessment form, data indicating risk factors such as various accidents and warnings about social unrest, and the degree of risk are shown. Accident-related data including data, and an accident-related database (abbreviated as accident DB) 400 that accumulates while updating an index indicating the degree of the risk corresponding to the risk factor, and input of accident-related data into the accident DB 400 And a terminal device 500 used when performing the above. These apparatuses 100 to 500 are connected via a network 900. As an index, for example, from the standpoint of non-life insurance, there is a risk coefficient indicating the magnitude of loss. In addition, there is a risk coefficient based on warning information that indicates the degree of danger when it occurs. In the present embodiment, a case where a risk coefficient indicating the degree of risk in the form of a coefficient is used as an index indicating the degree of risk will be described. Of course, it is not limited to a coefficient. You can also use coefficients and other forms of values.

  In FIG. 1, for convenience of explanation, the terminal devices 300 and 500 are shown one by one. In the present embodiment, it is assumed that a plurality of these devices are connected. Also, a plurality of servers 100 can be provided. In this case, it is good also as a structure divided into the server which produces a risk assessment table, and the server which performs risk assessment. Further, the item DB 200 and the accident DB 400 may be configured as a multiple system by installing a plurality of units, respectively, so as to secure data retention.

  The risk evaluation server 100 is configured by a computer system. For example, as shown in FIG. 2, the computer system includes a processing device 110, an external storage device 150, an input device 160, a display device 170, and a printing device 180. The input device 160 is composed of, for example, a keyboard and a mouse. The display device 170 is configured by a liquid crystal display or the like.

  The external storage device 150 is configured by a rewritable nonvolatile storage device such as a hard disk device, for example. As shown in FIG. 4, the external storage device 150 stores various programs 151 used in the processing device 110. As the program 151, for example, a risk evaluation form creation program 1510 for performing a series of processes such as creation of a risk evaluation form, attribute editing related to the evaluation form, item editing, etc. used in this embodiment, input risk evaluation A risk evaluation program 1511 for performing risk evaluation based on the vote is stored. In addition, the data is sent to the terminal device 300 together with the risk evaluation form creation program 1510 and is selected as the data for configuring the screen displayed on the display device 370 (see FIG. 9) of the terminal device 300 according to the screen. Attribute selection screen data 152 for accepting operations, attribute designation data 153 for designating attributes of various risks for constituting a risk assessment form, and image data used when displaying a risk assessment form on the screen A certain risk evaluation form display data 154 and risk evaluation form data 155 including the evaluation input by the terminal device 300 for the items of the risk evaluation form displayed by the risk evaluation form display data 154 are stored. Further, as the risk evaluation result 156 and the attribute selection screen data 152 indicating the result of risk evaluation using the created risk evaluation vote, for example, a pull-down menu type selection screen 3710 shown in FIG. 11 and an option input screen shown in FIG. 3720. Of course, it is not limited to this.

  The attribute selection screen data 152 is data that causes the display device 370 of the terminal device 300 to display an attribute selection screen 3710 as shown in FIG. In the example shown in FIG. 11, “Region” is displayed as the attribute a, and “Form” is displayed as the attribute 2. As to these attributes, preset items are displayed as will be described later.

  In the screen 3710 shown in FIG. 11, options prepared in advance for “Region” 3711 are displayed in a pull-down display area 3712 in a pull-down format. Specifically, in response to a pull-down instruction button 3713 being instructed via the input device 360, a pull-down display area 3712 is displayed. Any one of the displayed options can be selected via the input device 360. As a region, for example, a certain region in a certain country, for example, Yokohama, Japan can be selected. Further, it is possible to select a foreign land, for example, a region T in which country A has a port. Similarly, for “form” 3714, options can be displayed in a pull-down format in accordance with an instruction operation of a pull-down instruction button 3716 in a pull-down display area 3715. As the “form”, in this embodiment, logistics is taken as an example, and examples thereof include logistics bases such as port facilities and warehouses. The list may be displayed and selected instead of the pull-down format.

  In FIG. 11, when a necessary option is selected, the CPU 320 shifts to the next processing according to the selected option by operating the execution button 3718 via the input device 360. On the other hand, when the option button 3717 is operated on the screen of FIG. 11, the screen shifts to the option screen shown in FIG.

  A screen 3720 shown in FIG. 12 is a screen for inputting an option that becomes a new attribute item when no suitable option is found for either or both of the region and the form. In the screen shown in FIG. 12, an area 3722 for inputting “region”, a check box 3721 for selecting it, an area 3724 for inputting “form”, and a check box 3723 for selecting it are displayed. After inputting necessary options on this screen, the CPU 320 shifts to a new item editing process in response to an operation instruction to the execution button 3725 by operating the input device 360.

  The attribute designation data 153 is data indicating attributes displayed as options on the attribute selection screen described above. For example, it is data specifically indicating the area, form, and the like. More specifically, words representing “Yokohama”, “port facility” and the like are prepared. This attribute designation data 153 is prepared and stored in advance. As described later, all the attributes that can be set for each item stored in the item DB 200 are prepared as the attribute data (see FIGS. 17 and 18). However, items not prepared in advance can be added by manual input via the input device 360 (see FIG. 9), as described above. Specifically, as shown in FIG. 17, all the attribute data 2541a to 2541n are prepared so as to be associated with each item.

  The association between the attribute and each evaluation item of the evaluation item data is performed, for example, by setting association information 2543a to 2543n for association as shown in FIG. Specifically, the presence / absence of association is indicated by setting association information such as a flag. For example, regarding a certain evaluation item, when a flag is set to “1” for a certain attribute, the relationship between the attribute and the evaluation item is set to “relevant”. Therefore, when the attribute is designated, since the attribute is related, the attribute is posted on the evaluation vote. In the following example, a case where a flag is used as the association information will be described.

  Which attribute data is related to each item is set in advance as association information (flags) 2543a to 2543n as standard settings. For example, in the example shown in FIG. 17, for a certain item, associating attribute a, attribute c, and attribute d, the corresponding flags 2543a, 2543c, and 2543d are set to “1”. That is, the association information is set to “with association”. For the other attributes b and e to n, the corresponding flags 2543b, 2543e and 2543n are not set, and the state is "0". That is, the association information is set to “no association”.

  As a result, the item for which the association is pointed out is associated with the attribute a, the attribute c, and the attribute d. Therefore, when any of the attributes a, c, and d is designated, this item becomes an evaluation item and is put on the evaluation vote. On the other hand, this evaluation item is not selected as an evaluation item because it is not associated with any of the other attributes b and attributes e to n, because there is no relationship with these attributes. That is, it cannot be put on the evaluation vote. Therefore, when an attribute is newly added, it is necessary to set a flag as association information indicating in which item the attribute is related.

  There is an important point in associating attributes. It is about setting the relationship between the attribute and the item so that it can be changed according to a change in the situation such as the environment and circumstances. In other words, in the relationship between the attribute and the corresponding item, when the attribute is specified, whether to put it on the evaluation vote is determined according to the risk size related to the attribute, It is to decide whether to set the association information fixedly as to whether or not to place it on the evaluation vote without depending on it. For example, for a certain category, a certain middle item, and a certain small item, the association information corresponding to “put on evaluation vote” and “not put on evaluation vote” is fixedly set, and other classifications, middle items, and small items are set. As for, the corresponding association information can be variably set. Of course, this is only an example. The association information of all attributes may be variably set for all items or some items.

  In the example shown in FIG. 17, the flags 2543a and 2543c corresponding to the attribute a2541a and the attribute c2541c are set to “1” as a fixed setting. A flag 2543d corresponding to the attribute d2541d is set to “1” as a variable setting. On the other hand, the flag 2543b corresponding to the attribute b2541b is set to “0” as a variable setting. Flags 2543e and 2543n corresponding to attribute e2541e and attribute n2541n are set to “0” as fixed settings. The other attributes f to n-1 are unknown because they are not shown, but the corresponding flag is set to either “1” or “0” as either fixed setting or variable setting. Will be. Note that either the fixed setting or the variable setting can be changed.

  That is, for an attribute that is variably set, even if an attribute flag is set to “1” for a certain item as an initial setting, it is a temporary setting. If the environment, circumstances, or other circumstances change, the attributes may not be put on the evaluation form. On the other hand, even if the flag is set to “0” in an initial setting for an item, if the situation such as the environment or circumstances changes, the attribute may be put on the evaluation vote. By such a mechanism, items placed on the evaluation form are flexibly changed. Moreover, it is automatically changed according to the change in the magnitude of the risk. In addition, some of the attributes can be fixedly set or not posted on the evaluation vote by setting them to be fixed.

  As to how to set the flag for the attribute according to the actual risk size, refer to the association setting rule 2523 defined in the item edit rule file 252 (see FIG. 6), as will be described later. There is a need to. In the association setting rule 2523, for example, for each attribute, a threshold value is set as a rule as to how much risk is placed on the evaluation vote. The risk coefficient is compared with the corresponding threshold value, and association information is set. The threshold value can be set according to the magnitude of the risk coefficient value corresponding to each attribute. Further, the magnitude of the risk coefficient can be standardized so that the range of the magnitude of the threshold value is, for example, between 0 and 1.

  The risk evaluation form display data 154 is image data for displaying a tabular risk evaluation form as shown in FIG. 16 on the screen of the display device 370 of the terminal device 300, for example. With this image data, the item data acquired from the item DB 200 is displayed on the screen of the display device 370 in the format shown in FIG. The printing apparatus 380 can print out the same image.

  The processing device 110 includes a central processing unit (CPU) 120 and a main storage device 130. The processing device 110 implements various functions necessary for creating the risk assessment form by loading the risk assessment form creation program 1510 from the external storage device 150 and executing it by the CPU 120. Specifically, as shown in FIG. 3, the attribute designation acceptance processing 111 that functions as a means for accepting designation of attributes from the risk assessment vote creation terminal device 300 and the attributes for which designation has been accepted should be put on the assessment vote. A data acquisition process 112 that functions as a means for instructing the item DB 200 to acquire evaluation item data, a risk evaluation item acquisition process 113 that functions as a means for acquiring evaluation item data corresponding to the specified attribute from the item DB 200, and an acquisition A risk evaluation form is created that functions as a means for transmitting data of the risk evaluation form to the terminal device 300 that has designated the attribute while creating data for displaying the risk evaluation form based on the risk evaluation item data The transmission process 114 is executed. In addition, when an option is input, a risk evaluation item editing process 116 that functions as a means for editing risk evaluation items and an attribute setting editing process 117 that functions as a means for editing attribute settings are executed.

  In addition, the risk evaluation program 1511 is loaded from the external storage device 150 described above, and the CPU 120 executes the program, whereby the data input to the risk evaluation slip is received from the terminal device 300 and the risk evaluation process is performed. Then, a risk evaluation process 115 for realizing a means for configuring a screen for displaying the result is executed.

  Next, the item DB 200 will be described. As shown in FIG. 1, the item DB 200 includes a storage device 250 that stores data and a data management device that manages data such as input, search, output, update, and retention of data stored in the storage device 250. 210. The storage device 250 stores a plurality of pieces of evaluation item data to be posted and constitute an evaluation form together with an attribute including association information indicating whether the item is to be put on the evaluation form. The data management device 210 is configured by the same computer system as the server 100. Therefore, description of hardware resources is omitted here.

  The storage device 250 stores programs and data as shown in FIG. 6, for example. That is, as the program, the data management program 251 that is loaded into the main storage device and executed by the data management device 210 to realize various data management functions is stored. In addition, a classification rule 2521 for determining in which classification the added item is arranged, an item replacement rule 2522 for which existing item is to be replaced, and how to set a flag for an attribute to be described later An item editing rule file 252 that stores an association setting rule 2523 that determines whether to perform, and an evaluation item data standard file 253 that stores data of evaluation items prepared in advance together with various settings set in advance as standard. Then, based on the evaluation item standard file 253, an evaluation item working file 255, which is a working data file, is stored, which stores item data reflecting the current situation with respect to variable elements that change from moment to moment.

  The evaluation item data standard file 253 has, for example, a data structure as schematically shown in FIG. That is, an item identifier (ID) 2530 for identifying each item, a classification 2531, a medium item 2532, a small item 2533 and contents 2534, a weight (W1) 2535 and an evaluation option 2536, a weight (W2) 2537 and an evaluation option 2538 The weight (W3) 2539, the evaluation option 2540, and the attribute 2541 for the evaluation item constitute one evaluation item data. Each element constituting the evaluation item data is previously defined and input. Of course, it can be edited and revised as appropriate.

  Here, as the attribute 2541, all attributes assumed in advance are defined in common for each evaluation item. In the example illustrated in FIG. 17, the attributes a2541a to n2541n are schematically illustrated. For each attribute, for example, the above-mentioned superordinate concepts such as “region” and “form” and middle to subordinate concepts developed from them are defined in advance.

  The evaluation item data working file 255 has, for example, a data structure as schematically shown in FIG. That is, an item identifier (ID) 2550 for identifying each item, a classification 2551, a middle item 2552, a small item 2553 and a content 2554, a weight (W1) 2555 and an evaluation option 2556, a weight (W2) 2557 and an evaluation option 2558 The weight (W3) 2559, the evaluation option 2560, and the attribute 2561 for the evaluation item constitute one evaluation item data. Each element constituting the evaluation item data is configured based on the evaluation item data standard file 253 described above.

  The working file 255 reflects the actual situation, and some elements can change the stored items themselves, contents, and the like. For example, the weights (W1) 2555 to (W3) 2559 and the attribute 2561 are updated as necessary. For this reason, the current file 255 is common to the standard file 253 in the data structure, but the contents of the stored items may be different. In this embodiment, the evaluation item data current file 255 reflecting the reality is used for evaluation. For example, what is reflected in the options displayed in the pull-down display areas 3712 and 3715 illustrated in FIG. 11 is the definition of the attribute 2561 stored in the evaluation item data active file 255.

  Attributes 2561a to 2561n determine whether each item is adopted as an evaluation item when any attribute is designated in FIG. 11 described above. Therefore, for each evaluation item, flags 2563a to 2563n indicating which attribute the evaluation item should be referred to are set for the corresponding attribute. The setting level of the flag is set for the attribute level corresponding to the options displayed in the pull-down display areas 3712 and 3715 exemplified in FIG. Of course, the association information is not limited to the flag, and other designation methods may be used.

  How to set the flags 2563a to 2563n for any of the attributes 2561a to 2561n is set in advance in the evaluation item data standard file 253 described above. However, as will be described later, depending on the situation, the flag setting may be changed such that it is a risk evaluation target, and conversely, it is excluded from the target. This is done by setting this flag. How to set the flag is performed based on the association setting rule 2523 stored in the item editing rule file 252 shown in FIG.

  In the present embodiment, the association setting rule 2523 is determined in advance as a reference on which an evaluation item including each attribute is placed on an evaluation vote. In the present embodiment, this criterion is set as a threshold value for determining whether the risk coefficient has reached an assumed magnitude. That is, a value that can set the flag to “1” is set as the threshold value. For example, with respect to a certain item, a certain attribute is determined such that a threshold is a risk coefficient of 0.4 or more, and a certain attribute is a risk coefficient of 0.5 or more. The risk coefficient is acquired from an accident DB 400 described later.

  In addition, as described above, some items may be fixedly set so as not to depend on the risk coefficient and to be always put on the evaluation form or not always put. For example, the threshold value of the risk coefficient is set to 0. On the other hand, in order not to be placed, for example, the threshold value of the risk coefficient is set to a value that cannot be taken by the risk coefficient. The risk coefficient is set for each attribute. Therefore, the range of the magnitude of the value varies depending on the attribute. Therefore, the range is not necessarily 1 to 0.

  By using variable settings, the evaluation items can be flexibly adapted to changes in the situation. For example, although it is not normally placed on the risk assessment form, it can be placed when the risk becomes high. In this case, the reference threshold value is increased. As a result, measures that are performed only when the risk factor is high, such as items that are not normally taken, such as strict guarding, are that robbery groups have appeared in certain areas, etc. When an incident occurs, the risk factor increases and exceeds the threshold, so it can be posted. On the other hand, when a risk coefficient is small as a reference threshold value, it is generally placed.

  As described above, an attribute is specified in the evaluation item data stored in the current file 255, and the flag that is the above-described association information for the attribute. Depending on how it is set up. That is, when the flag is “1”, the attribute is related to the evaluation item including the attribute. Accordingly, the related evaluation items are listed on the evaluation vote.

  The data management apparatus 210 implements various functions constructed by executing the data management program 251 shown in FIG. That is, as shown in FIG. 5, a risk coefficient recording process 211 that functions as a means for obtaining an index (risk coefficient) indicating the degree of risk from the accident DB 400, and a setting update process of association information in the attribute of each evaluation item The attribute flag setting update process 212 functioning as a means for performing the search, and in response to a search request designating the attribute sent from the server, the evaluation item storage means is searched, and in the corresponding attribute, the relation information is “relationship”. An evaluation item data active file search process 213 that functions as a means for searching for an evaluation item having the attribute set to “attached” and sending data about the searched evaluation item to the server of the search request source; Execute. In addition, the evaluation item stored in the evaluation item data standard file 253 and the evaluation item stored in the current file, and the storage item editing process 214 functioning as a means for performing editing such as addition, change, deletion, etc. And an evaluation item data current file editing process 215 that functions as a means for performing editing such as addition, change, and deletion for the corresponding option.

  In this embodiment, the risk coefficient acquisition process 211 periodically accesses the accident DB 400, searches the risk coefficient data 455 (see FIG. 8), and acquires the latest risk coefficient for each attribute. The interval for acquiring the risk coefficient is determined in advance. For example, it can be 24 hours. Of course, it is also possible to add obtaining the risk coefficient manually as necessary.

  In the attribute flag setting update process 212, the risk coefficient is equal to or higher than the threshold value for each attribute in each evaluation item according to the association setting rule described above, or less than the threshold value. It is determined whether or not. If the risk coefficient is equal to or greater than the threshold, the flag is set to “1” for that attribute. On the other hand, when the risk coefficient becomes less than the threshold, the flag is set to “0” for the attribute. These flags are set for the corresponding attribute among the attributes a to n included in the attribute 2561 for each record of the evaluation item in the evaluation item data working file shown in FIG.

  For the same evaluation item, a flag may be set to “1” for risk coefficients related to a plurality of attributes. In this case, even if any of the attributes is specified, it will be put on the evaluation form. However, when a plurality of attributes are specified together, for example, the evaluation item can be adopted based on an attribute having a large risk coefficient, that is, a high threshold. As a result, the risk is more greatly reflected in the numerical evaluation of the risk level.

  By adopting such a configuration, when the risk related to various attributes fluctuates based on the actual situation, the evaluation items placed on the evaluation vote are changed to reflect the fluctuation. Therefore, it is possible to perform an accurate evaluation that reflects the risk fluctuation due to the change in the situation at that time. There is also an advantage that unnecessary evaluation is not required.

  In the evaluation item data current file search process 213, a search request including attribute designation information is received from the server 100, and the evaluation item data current file 255 stored in the storage device 250 is searched based on the attribute designation information. As a result of the search, the evaluation item data in which the flag for the attribute included in the attribute designation information is set to “1” is read and sent to the server 100 that is the request source.

  Next, the accident DB 400 will be described. The accident DB 400 accumulates data that becomes risk factors, accident-related data that includes data indicating the degree of risk, and an index that indicates the degree of risk corresponding to the risk factor while being updated. For example, as shown in FIG. 1, accident-related data including data relating to risk factors and data indicating the degree of risk, a storage device 450 that stores an index indicating the degree of risk, accident-related data, and based on this And a data management device 410 that accumulates and manages an index indicating the required degree of risk. Accident-related data includes risk factor data related to risk factors such as information that warns that there is a high risk of occurrence of accidents, incidents, etc. And data related to various information that influences the like. The data management device 410 manages input, search, output, update, retention, etc. of accident related data. Typically, the accident-related information includes, for example, an insurance accident in which insurance money is paid by an insurance company. Moreover, as a warning, the information regarding the danger of the specific area which the Ministry of Foreign Affairs announces is mentioned, for example.

  In addition, accident-related data has a property that is treated as an event of statistical data such as insurance accidents, and a risk such as a warning, depending on the duration of the warning and the degree of the warning. There is something to do. Therefore, the calculation of the risk coefficient varies depending on the nature of the risk.

  In the storage device 450, for example, a program and data as shown in FIG. 8 are stored. That is, as a program, a data management program 451 is stored which is loaded into the main storage device and executed by the data management device 410 and realizes various data management functions. In addition, data is sent to the terminal device 500, and the attribute is selected along with the screen data displayed on the display device of the terminal device 500 (corresponding to the display device 370 of the terminal device 300 shown in FIG. 9). Attribute selection screen data 452 for accepting an operation, attribute designation data 453 for designating attributes of various risks for constituting a risk evaluation vote, accident-related data 454 that is data related to an accident, and risk coefficients are calculated Risk coefficient data 455 that is updated each time it is stored. In the risk coefficient data 455, a risk coefficient is associated with each attribute and stored with an update time (time stamp). Therefore, the risk coefficient can be searched using the attribute or time stamp as a key.

  The data management device 410 is configured by the same computer system as the server 100. Therefore, description of hardware resources is omitted here.

  For example, as shown in FIG. 7, the data management device 410 includes an accident-related data update processing function 411 that implements a function as a means for updating the accident-related data stored in the storage device 450, and each risk factor. Based on the data representing the degree of risk, a risk coefficient is calculated and updated, a risk coefficient update process 414 that functions as a risk coefficient update means, and a function that performs an index search process that indicates the risk level Risk coefficient search processing 415 to be performed.

  The accident-related data update processing function 411 obtains an index indicating the degree of risk and performs a process of updating the stored index. In this embodiment, as described above, a risk coefficient is used as an index indicating the degree of risk. Therefore, an attribute designation process 412 for performing a process for accepting an attribute designation so that the terminal apparatus 500 can input the data, and a data input for accepting a data input of risk factor data from the terminal apparatus 500 and data representing the degree of risk. Process 413 is realized, and the calculated risk coefficient is associated with the attribute and stored in the risk coefficient data 455 with an update time (time stamp).

  Examples of risk factor data include theft, fire, flood, earthquake, riot, political instability, and the like. On the other hand, the data indicating the magnitude of risk includes insurance premiums paid for damage indicating damage, damage status data regarding accidents by government agencies, warning levels for political instability, and the like.

  The risk coefficient is calculated according to the nature of the risk as described above. As the calculation based on the statistical data, for example, there is one determined in relation to the amount of insurance payment. A case will be described in which a risk factor is calculated based on accident data (loss rate, etc.) held by an insurance company for a certain attribute, for example, a cargo theft accident in a general port warehouse. The loss ratio can be determined by the ratio of insurance money paid to income premiums. This loss rate can be determined for each region. That is, the average of theft accidents can be obtained for each region. On the other hand, the loss rate of theft accident can be obtained for a wide area. If there is no significant difference between the average loss rate in the region and the loss rate in the wide area, the average loss rate can be set as the general loss rate in the region. When the loss ratio is 0.4, the risk factor for cargo theft in a general port warehouse is 0.4 based on the loss ratio. This is the normal risk factor.

  On the other hand, if the cargo is stolen frequently at a port plan warehouse in a certain area and insurance payments increase, the loss ratio will increase. As a result, there is a significant difference between the average loss rate in the region and the loss rate in the wide area. In that case, the loss rate by region is used as the risk factor for that region.

  Even if the amount of insurance claims paid does not increase, if there is a significant difference in the rate of increase in the number of thefts as statistical data on the number of incidents, the risk factor should be changed based on the rate of increase in the number of incidents. It can also be done. For example, when the theft coefficient in a certain region is increased by 20% from the average, the risk coefficient is 0.48 by multiplying our risk coefficient 0.4 by 1.20. If the number of thefts further increases and the amount of damage increases, the average value of the loss rate in that area is applied, for example, the risk factor is set to 0.55. The calculation of the risk factor may be determined in consideration of various factors such as the loss rate calculation, for example, the above-described theft coefficient statistical data, the Ministry of Foreign Affairs danger information, and the like. For this reason, a rule is decided beforehand and it applies to a rule and changes.

  The above has described changes in risk factors based on regional micro-variations. Risk factors are not limited to changes in microscopic factors. For example, it is assumed that a change is caused by a macro change due to an environmental change. As an example, there is an increase in risk due to an increase in the frequency of typhoon attacks due to global warming. Next, an example will be described.

  Typhoon that hits Shizuoka prefecture out of the number of typhoons that hit Japan in one year (the past 100 years), the frequency (probability) of annual typhoon attacks (direct hit) to specific areas (for example, Shizuoka Prefecture) is 5/100 Number), the basic risk coefficient (α) is determined accordingly. However, when it was found that the frequency of typhoon attacks in Shizuoka Prefecture has increased to 8/100 over the last five years due to the effects of global warming (mostly when statistics are collected and published, or in-house data from insurance companies is taken. In some cases, the risk factor will be increased by (8-5) / 100 = 3% and reset to 1.03α at the time of periodic / anytime data update). That is, it may be considered that the value of the risk variable is automatically read according to the rate (rate,%) of change in danger. When the risk factor is changed based on the published data, the risk factor will be changed at the time of the data publication, and when using the internal data of the insurance company that is updated as needed, it will be done at any time.

  Next, the risk evaluation form creation terminal device 300 will be described. The terminal device 300 functions as a man-machine interface for creating an evaluation form and editing a risk evaluation form. Specifically, it is an apparatus for performing processing such as display and input of a risk evaluation form when creating an evaluation form. For example, it can be configured by a computer system as shown in FIG. In other words, the computer system includes a processing device 310, an external storage device 350, an input device 360, a display device 370, and a printing device 380. The input device 360 is configured by, for example, a keyboard and a mouse. The display device 370 is configured by a liquid crystal display or the like.

  The terminal device 300 is connected to the server 100 as processing used in the present embodiment in the processing device 310, and performs input / output processing when creating a risk assessment vote. That is, server browsing / input / output processing 311 for functioning as browsing / input receiving means for the server 100 is realized. By this process 311, various settings for creating a risk assessment form, data necessary for risk assessment input, display of the risk assessment form, etc. are received from the server 100 at any time, and an image corresponding to the display device 370 is received. Is displayed, and necessary input is received via the input device 360, and data can be transmitted to the server.

  As a specific process, a function as shown in FIG. 10 is realized by a program including image data and the like sent from the server 100.

  Based on the evaluation form creation information request processing 312 that functions as a means for requesting the risk evaluation form creation information to the server 100 and the specification of the attribute to be evaluated based on the risk evaluation form creation information sent from the server 100 An apparatus for receiving an attribute designation / evaluation vote request 313 functioning as a means for making an evaluation vote request related to a designated attribute to the server 100, and a risk evaluation vote sent from the server 100. An evaluation form display process 314 that functions as a means for displaying on 370 and an evaluation function that functions as a means for accepting an input to the evaluation form via the input device 360 and making an evaluation request based on the inputted evaluation form to the server 100. Function as input / evaluation request processing 315 and means for causing the display device 370 to display the risk assessment form sent from the server 100 That the risk assessment form display processing 316, to achieve.

  Next, the terminal device 500 will be described. As described above, the terminal device 500 functions as a device for inputting data relating to an accident or the like to the accident DB 400 and calculating a risk coefficient. Since the configuration of the hardware system is basically the same as that of the terminal device 300 shown in FIG. 9, the description thereof is omitted here.

  As illustrated in FIG. 13, the terminal device 500 executes an accident report process 511 that functions as a means for reporting accident-related data in the accident DB 400, that is, registering accident-related data. Specifically, an accident report input start process 512 that functions as a means for starting an accident report input by connecting to the accident DB 400 via the network 900, and means for displaying an accident report input screen on a display device (not shown) A functioning accident report input screen display process 513 and an accident report input process 514 functioning as a means for receiving an accident report input, transmitting it to the accident DB 400 and reporting it are executed.

  In response to this, the data management device 410 of the accident DB 400 activates the accident-related data update process 411 and accepts input of accident-related data. Specifically, an attribute designation is accepted in order to specify which attribute the accident-related data relates to. Thereafter, input of accident-related data is accepted. Specifically, input is accepted for risk factor data, data indicating the degree of risk, and the like.

  When the accident-related data has been input, the data management device 410 activates the risk coefficient update process 414 and executes the risk coefficient calculation process described above based on the input data. The risk coefficient update process 414 stores the calculated risk coefficients in the storage device 450 as risk coefficient data 455 in association with attributes and with time stamps.

  In terminal device 500, as in terminal device 300 shown in FIG. 10, a server browsing / input acceptance process is stored in a storage device, and accident-related data is input via a server (not shown). You may do it. In that case, the server 100 may be used as a server for this purpose.

  Next, the operation of the system of this embodiment will be described with reference to FIG. FIG. 15 shows the flow of processing of each device constituting the system in this embodiment together with the exchange of information.

  First, information processing performed in the accident DB 400 and the terminal device 500 will be described. Between the accident DB 400 and the terminal device 500, whenever an accident occurs, when information that the risk has been raised is received, or when an event that fluctuates insurance risk occurs, as needed In the terminal device 500, an accident related data input process is performed (step 511). On the other hand, linked to this process, in the accident DB 400, the data management apparatus 410 functions as an accident-related data update unit, and performs an update process of the accident-related data 454 together with the input process of the accident-related data (step 411). Further, the data management device 410 calculates a risk coefficient for the attribute related to the input accident-related data, and updates the risk coefficient data 455 with the newly calculated risk coefficient (step 414). Of course, all risk factors may be recalculated and the update process may be performed based on the calculation result.

  Next, information processing performed in the accident DB 400 and the item DB 200 will be described. In the accident DB 400, the risk coefficient data 455 stored in the storage device 450 is updated at any time as described above. The data management device 210 of the item DB 200 performs risk coefficient acquisition processing periodically or in response to an instruction from the terminal device 300 performed via the server 100 (step 211). Specifically, after the previous risk coefficient acquisition, the data management device 410 of the accident DB 400 is instructed to search for the updated risk coefficient. At this time, the time information indicated in the time stamp at the previous access is also sent. In response to this, the data management apparatus 410 activates the risk coefficient search process 415 and searches the risk coefficient data 455 for attributes updated after the previous access time using the time stamp as a key. The searched attribute and the corresponding risk coefficient are sent to the data management device 210 of the item DB 200 (step 415). Also, the time of the last search processing is stored in the data management device 410, and when an instruction from the data management device 210 is received, a risk coefficient having a time stamp after the time of the last search processing is searched. It is good also as composition to do.

  The data management device 210 of the item DB 200 activates the evaluation item data active file editing process 215, refers to the rule stored in the item editing rule file 252 based on the received risk coefficient, and for the corresponding attribute, For the attribute whose risk coefficient is outside the threshold range described in the rule, a process of changing the setting of the flag is performed (step 212). For example, in the rule, when the risk coefficient is 0.5 or more and it is described that the flag is set to “1”, if the new risk coefficient is 0.55, the flag that has not been set until then is set to “1”. Set to "". On the other hand, when the risk coefficient is 0.5 or more up to that point and is less than the threshold value 0.5, the flag that has been set to “1” until then is set to “0”. Of course, it may not be changed in relation to the threshold value. For example, if the new risk coefficient is 0.48, the threshold is not 0.5 or more, so the flag is not set to “1”. In the case of the evaluation item data active file 255 shown in FIG. 18, the flag 2543b (see FIG. 17) of the attribute b2541b, which was “0”, is changed to “1” in the flag 2563b of the attribute b2561b. The flag of the evaluation item data working file 255 may change for the attribute that is variably set as described above.

  The above processing is periodically performed between the item DB 200 and the accident DB 400. Moreover, it is performed at any time according to instructions.

  Next, processing performed in the terminal device 300 and the server 200 will be described. The terminal device 300 connects to the server 100 via the network 900, refers to the homepage, etc., and requests the evaluation form creation information (step 312). In response to this, the server 100 sends the risk assessment form creation information to the terminal device 300 (step 111). The terminal device 300 displays the attribute designation screen shown in FIG. 11 based on the sent risk evaluation form creation information and accepts designation of attributes. In the example of FIG. 11, an area and a form are accepted by selecting attributes. Along with the received attributes, for example, attributes such as “Yokohama” and “port facility”, a request for displaying an evaluation vote is sent to the server 100 (step 313).

  In response, the server 100 sends an item data search instruction for the designated attribute to the data management device 210 of the item DB 200 (step 112). In the item DB 200, the data management device 210 searches for an item for which the flag is set to “1” for the designated attribute, and sends data about the obtained item to the server 100 (step 213).

  The server 100 acquires the sent item data (step 113), creates a risk evaluation vote, and transmits it to the terminal device 300 (step 114).

  The terminal device 300 receives the evaluation form and displays it on the display device 370 (step 314). Next, an evaluation input is received and an evaluation request is sent to the server 100 (step 315). The server 100 performs risk assessment and sends it to the terminal device 300 (step 115). The terminal device 300 displays the received evaluation (step 316).

  The risk evaluation is indicated as a numerical value by calculating an evaluation value by multiplying the weight corresponding to the evaluation value of the selected evaluation option for each item. Each item can also be shown as a graph.

  As described above, the risk evaluation vote is displayed on the terminal device 300. However, for the specified attribute, the flag setting based on the risk factor is automatically updated for the specified attribute, so the item corresponding to the situation change such as the change of circumstances and the change of environment is selected. Will be displayed.

  In the embodiment described above, the example in which the risk evaluation vote is provided in a form that can be used in the terminal device has been described. It is up to the user to decide how to use the provided risk assessment form for risk assessment. For example, a risk evaluation form as shown in FIG. 16 is created so that an evaluator can manually input information on the terminal device. Further, depending on circumstances, it is possible to print out the risk assessment slip and input it to the terminal based on the handwritten input on site. The risk assessment is performed after the risk assessment slip has been entered.

  In the above embodiment, a risk coefficient is used as an index indicating the degree of risk. However, the present invention is not limited to a coefficient as long as it is a format that can indicate the degree of risk.

FIG. 1 is a block diagram showing an outline of a risk assessment form creation system according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating an example of a system configuration of a server used for risk evaluation in an embodiment of the present invention. FIG. 3 is a block diagram illustrating an example of a functional configuration of the server used in the embodiment of the present invention. FIG. 4 is a block diagram illustrating an example of a program and data stored in the external storage device of the server. FIG. 5 is a block diagram showing a functional configuration of the item DB data management apparatus used in the embodiment of the present invention. FIG. 6 is a block diagram illustrating an example of programs and data stored in the storage device of the item DB. FIG. 7 is a block diagram showing a functional configuration of the accident DB data management device used in the embodiment of the present invention. FIG. 8 is a block diagram illustrating an example of a program and data stored in the storage device of the accident DB. FIG. 9 is a block diagram illustrating an example of a system configuration of the terminal device used in the embodiment of the present invention. FIG. 10 is a block diagram illustrating an example of a functional configuration of the terminal device. FIG. 11 is an explanatory diagram illustrating an example of an attribute selection screen displayed when an attribute is selected in the terminal device. FIG. 12 is an explanatory diagram illustrating an example of an option input screen for inputting an attribute different from the prepared attribute when the attribute is selected in the terminal device. FIG. 13 is a block diagram illustrating an example of a functional configuration of the terminal device 500. FIG. 14 is an explanatory diagram schematically showing a screen for editing an evaluation item. FIG. 15 is an explanatory diagram showing the operation and information flow of each device constituting the system of this embodiment. FIG. 16 is an explanatory diagram schematically showing an example of a risk evaluation vote obtained by the embodiment of the present invention. FIG. 17 is an explanatory diagram schematically showing a data structure of a standard setting state of risk evaluation items constituting a risk evaluation form used in the embodiment of the present invention. FIG. 18 is an explanatory diagram schematically showing a data structure of a current file of risk assessment items constituting a risk assessment form used in the embodiment of the present invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 ... Server, 110 ... Processing device, 120 ... Central processing unit (CPU), 130 ... Storage device, 140 ... Communication control device, 150 ... External storage device, 160 ... Input device, 170 ... Display device,
200 ... Item database (item DB), 210 ... Data management device, 250 ... Storage device,
300 ... Terminal device, 310 ... Processing device, 320 ... Central processing unit (CPU), 330 ... Storage device, 340 ... Communication control device, 350 ... External storage device, 360 ... Input device, 370 ... Display device,
400 ... Accident-related database (accident DB), 410 ... Data management device, 450 ... Storage device,
500 ... a terminal device,
900 ... Network

Claims (10)

In a system that creates a risk assessment form that lists multiple assessment items for risk assessment,
In order to perform input / output processing when creating a risk assessment slip by connecting to a server that creates a risk assessment slip, an item database that stores assessment item data prepared in advance to constitute the assessment items, and the server A risk assessment form creation terminal device, and an accident-related database that accumulates while updating an index indicating the degree of risk calculated based on accident-related data,
Item database is
Management of data stored in a storage device that stores a plurality of evaluation item data for posting and constituting an evaluation vote together with an attribute including association information indicating whether the item is to be put on the evaluation vote A data management device for performing
The data management device includes:
Means for obtaining an index indicating the degree of the risk from the accident-related database;
Based on the obtained index indicating the degree of risk, means for performing setting update processing of association information in the attribute of each evaluation item stored in the storage device;
In response to a search request specifying an attribute sent from the server, the pre-storage device is searched for an evaluation item having an attribute in which the association information is set to related in the specified attribute, and is searched. Means for sending data about the evaluated items to the server of the search request source, and performing a risk factor search,
The server
Means for accepting designation of an attribute from the terminal device for creating the risk assessment form;
For the attribute that has received the designation, means for instructing the item database to search for evaluation item data to be placed in the evaluation vote;
Means for obtaining evaluation item data corresponding to the indicated attribute from the item database;
Creating a risk assessment form based on the obtained evaluation item data and sending it to the terminal device;
The terminal device for creating the risk assessment slip is:
Means for connecting to the server, accepting attribute designation for creating a risk assessment vote, sending information designating the attribute to the server, and requesting transmission of the assessment vote;
Means for obtaining a risk assessment slip sent from the server;
And a means for receiving an input process for the acquired risk evaluation form and sending the input items to the server. The system of claim 1, wherein
The association information accumulated in the storage device of the item database has at least a partial setting of whether or not the association is variable,
The means for performing the setting update process of the association information is based on the index indicating the degree of the acquired risk for the association information for which the setting of the presence / absence of association is variable in each attribute of each item data. A system for creating a risk assessment form characterized by updating the presence or absence of attachments. The system of claim 2, wherein
In the storage device of the item database, an association rule including a threshold as to whether to put each item data on the evaluation vote is accumulated,
The means for performing the setting update process of the association information is compared with the threshold for the index indicating the degree of the acquired risk for the association information in which the setting of the presence / absence of the association is variable in each attribute of each item data. Then, a system for creating a risk evaluation vote characterized by updating the presence / absence of the relationship. The system according to any one of claims 1 to 3,
The storage device of the item database includes a flag set as the association information, the plurality of evaluation item data to be accumulated, as the association information,
The system for creating a risk evaluation form, characterized in that the means for performing the setting update process sets the flag to “1”, assuming that the association information is related. The system of claim 4, wherein
The means for searching for the risk factor searches the storage device in response to a search request designating an attribute sent from the server, and in the corresponding attribute, the attribute whose flag is set to “1” A system for creating a risk evaluation form characterized by searching for evaluation items having Risk assessment form creation server, risk assessment form creation terminal device that connects to the server and performs input / output processing when creating the risk assessment form, and the degree of risk calculated based on accident data Together with an accident-related database that accumulates while updating the index indicating the risk, together with a system for creating a risk evaluation form listing a plurality of evaluation items for performing risk evaluation, in order to configure the evaluation items in advance In the item database that accumulates prepared evaluation item data,
Management of data stored in a storage device that stores a plurality of evaluation item data for posting and constituting an evaluation vote together with an attribute including association information indicating whether the item is to be put on the evaluation vote A data management device for performing
The data management device includes:
Means for obtaining an index indicating the degree of the risk from the accident-related database;
Based on the obtained index indicating the degree of risk, means for performing setting update processing of association information in the attribute of each evaluation item stored in the storage device;
In response to a search request specifying an attribute sent from the server, the pre-storage device is searched for an evaluation item having an attribute in which the association information is set to related in the specified attribute, and is searched. An item database comprising: means for searching for a risk coefficient, which sends data on the evaluated item to the server of the search request source. In the item database according to claim 6,
The association information stored in the storage device has at least a part of whether or not the association setting is variable,
The means for performing the setting update process of the association information is based on the index indicating the degree of the acquired risk for the association information for which the setting of the presence / absence of association is variable in each attribute of each item data. An item database characterized by updating the presence / absence of attachments. In the item database according to claim 7,
In the storage device, an association rule including a threshold value regarding whether to put each item data on the evaluation vote is accumulated,
The means for performing the setting update process of the association information is compared with the threshold for the index indicating the degree of the acquired risk for the association information in which the setting of the presence / absence of the association is variable in each attribute of each item data. Then, an item database for creating a risk assessment form characterized by updating the presence / absence of the relationship. In the item database according to any one of claims 6 to 8,
The storage device includes, as the association information, the plurality of evaluation item data to be accumulated includes a flag set to correspond to an attribute,
An item database characterized in that the means for performing the setting update process sets the flag to “1”, assuming that the association information is related. In the item database according to claim 9,
The means for searching for the risk factor searches the storage device in response to a search request designating an attribute sent from the server, and in the corresponding attribute, the attribute whose flag is set to “1” An item database characterized by searching for evaluation items having.

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