JP3708199B2 - Concurrent engineering support system and concurrent engineering support method - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an apparatus and a support method for supporting concurrent engineering.
[0002]
[Prior art]
As a method for supporting collaborative engineering in a distributed database / knowledge base environment, for example, there is a method of having a shared database based on a global schema as shown in FIG. Each engineering tool can proceed with each work using the database, and it is possible to maintain consistency by managing data centrally. However, in order to actually use this method, it is necessary to predefine all data schemas, and further, it is necessary to assume that semantically equivalent data is not duplicated. It is difficult to build a large-scale integrated database environment for this purpose.
[0003]
Therefore, in recent years, techniques called multi-database and active database have attracted attention. This multi-database has a processing function in which an existing database is designed and operated individually to some extent, allows duplication of semantically equal data, and guarantees mutual consistency (see FIG. 34B). ). The active database describes restrictions and procedures for spreading the change in the data itself.
[0004]
In addition, by providing a process model that describes the engineering process (work flow) and controlling the work flow, technologies such as workflows that support the collaborative work of multiple users have also been proposed. (See FIG. 34 (c)).
[0005]
However, in the field where a large-scale object such as plant engineering is handled and the work contents are diverse, there are the following problems. That is,
(1) Since the contents of work in each process are diverse, it is difficult to define a uniform schema.
(2) Since the work process is atypical and inherently includes frequent backtracking processes, it is extremely difficult to model.
(3) Engineering data includes uncertainties at the beginning of work and is gradually refined throughout the entire work cycle.
(4) Since minor changes in the upstream process swell to dozens of times in the downstream process, damage caused when consistency is maintained due to erroneous data input is significant.
There is a problem. Therefore, cooperative engineering support is actually difficult depending on the above-described conventional technique.
[0006]
[Problems to be solved by the invention]
However, the conventional engineering support described above has the following problems, particularly in a field where a large-scale object such as plant engineering is handled and the business contents are various. That is,
(1) Since the contents of work in each process are diverse, it is difficult to define a uniform schema.
(2) Since the work process is atypical and inherently includes frequent backtracking processes, it is extremely difficult to model.
(3) Engineering data includes uncertainties at the beginning of work and is gradually refined throughout the entire work cycle.
(4) Since minor changes in the upstream process swell to dozens of times in the downstream process, damage caused when consistency is maintained due to erroneous data input is significant.
There is a problem. Therefore, cooperative engineering support is actually difficult depending on the above-described conventional technique.
[0007]
Therefore, the present invention takes into consideration the magnitude of the effect on the change of certain data on other work in situations where atypical and backtracking processes occur frequently that cannot be handled by the process model or global schema description. An object is to provide a device that supports flexible concurrent engineering.
[0008]
[Means for Solving the Problems]
The present invention realizes intelligent and flexible concurrent engineering support based on the following two basic recognitions.
(Basic recognition 1)
The accompanying data, rather than the data itself, plays an important role in supporting intelligent and flexible concurrent engineering.
[0009]
(Basic recognition 2)
Key components in a distributed database / knowledge base environment are:
1) Database
2) Engineering tools
3) User
It is.
[0010]
Furthermore, based on these two recognitions, in particular, predetermined information such as user information, tool information, and database information is used.
That is, user information is grasped from the viewpoint of static data and dynamic data. In particular,
Static data: name, login name, organization information, department data, title, role, work pattern, qualification, career, book, hobby
Dynamic data: tools in use, tool usage history, database used, database access history
Etc.
[0011]
As for tool information, the tool name, the type of target database, the command to be issued, the upstream / downstream relationship between tools, and the like are used.
Further, regarding the database information, revision management information, the degree of data confirmation, the data change history, the degree of influence each data has on others, etc. are used.
[0012]
And this invention detects these predetermined information, analyzes each information in combination as appropriate, and performs notification and data processing to the user, so that appropriate and flexible change in information change, notification, and influence A concurrent engineering support device that realizes advanced security based on information such as prediction, version, revision, data approval / responsibility, access rights, etc., and enables efficient work support by manipulating data including uncertainty provide.
[0013]
That is, the present invention stores information on a database to be accessed by the engineering tool in a concurrent engineering support system in which engineering is performed with an engineering tool corresponding to each engineering work using a database in which predetermined engineering information is accumulated. Tool information storage means, database information storage means for storing information relating to a database corresponding to the engineering work, user information storage means for storing information relating to a user who uses the engineering tool, tool information, and database information And when one engineering information stored in the database is changed based on at least one of the user information, the one information A concurrent engineering support system characterized by comprising the relevant information deriving means for changing the engineering information to derive other engineering information influence.
[0014]
Further, the related information deriving unit of the present invention includes an influence degree calculating unit that calculates the degree of influence of the change of one engineering information on other engineering information.
[0015]
Further, the related information deriving unit of the present invention includes a notifying unit for notifying a user related to the derived other engineering information of the other engineering information.
[0016]
The related information deriving means of the present invention comprises user selecting means for selecting a user related to the derived other engineering information using a predetermined knowledge base.
[0017]
Furthermore, the present invention stores information relating to a database to be accessed by the engineering tool in a concurrent engineering support system in which engineering is performed by an engineering tool corresponding to each engineering work using a database in which predetermined engineering information is accumulated. Tool information storage means, database information storage means for storing information relating to the database corresponding to the engineering work, user information storage means for storing information relating to a user who uses the engineering tool, and engineering stored in the database Means for calculating the degree of definiteness of data constituting the information, and at least one piece of information among the tool information, the database information, and the user information Based on the determined degree of beauty, a concurrent engineering support system characterized by comprising the uncertain information access means for performing access to the uncertain engineering information.
[0018]
The concurrent engineering support system further includes information presenting means for presenting other engineering information derived by the related information deriving means to the user.
[0019]
Here, the user information of the present invention includes dynamic user information composed of data obtained from a dynamic viewpoint for the user.
According to the present invention, there is provided means for extracting knowledge about a work tendency for a target engineering work based on the dynamic user information, and information presentation corresponding to each user based on the knowledge extracted by the means. Customizing means for performing.
[0020]
On the other hand, when grasping the present invention from the viewpoint of the invention of the method, the present invention is a concurrent engineering support method in which engineering is performed with an engineering tool corresponding to each engineering work, using a database in which predetermined engineering information is accumulated. One piece of engineering information stored in the database based on tool information on a database to be accessed by the engineering tool, database information on a database corresponding to the engineering work, and user information on a user who uses the engineering tool A concurrent engineer that derives other engineering information that is affected by the change in the one engineering information. It is a support method.
[0021]
Further, the present invention is characterized in that, when other engineering information is derived, the degree of influence of the change of one engineering information on the other engineering information is calculated.
[0022]
In the present invention, when other engineering information is derived, the other engineering information is notified to a user related to the derived other engineering information.
[0023]
In the present invention, when other engineering information is derived, the related information deriving means selects a user related to the derived other engineering information using a predetermined knowledge base. .
[0024]
Further, the present invention relates to a concurrent engineering support method in which engineering is performed with an engineering tool corresponding to an individual engineering operation using a database in which predetermined engineering information is accumulated, and tool information relating to a database to be accessed by the engineering tool; Holding database information relating to a database corresponding to the engineering work and user information relating to a user who uses the engineering tool, calculating a degree of definiteness of data constituting the engineering information accumulated in the database, and the tool information Access to uncertain engineering information based on at least one of the database information and the user information and the degree of determination It is a concurrent engineering support method and performing.
[0025]
The concurrent engineering support method is characterized by presenting other engineering information derived as the related information to the user.
Here, the user information of the present invention is characterized in that it includes dynamic user information composed of data obtained from a dynamic viewpoint for the user.
[0026]
Further, the present invention extracts knowledge regarding a work tendency for the target engineering work based on the dynamic user information, and presents information corresponding to each user based on the extracted knowledge. It is characterized by customization.
[0027]
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 is a diagram showing a configuration of a concurrent engineering support apparatus according to the present invention. In a distributed database / knowledge base environment, a plurality of users operate the engineering tool 1 suitable for each business in synchronization or asynchronously, access the engineering database 3 via the network 2, read data, Or accumulate results.
[0028]
While the user operates the engineering tool 1, the database information search unit 4 detects ancillary information and accumulates it in the database information storage unit 5. FIG. 2 is a diagram illustrating an example of auxiliary information regarding a database obtained via the network 2. As shown in the figure, the auxiliary information includes database revision management information, the degree of data confirmation, data change history, and the degree of influence each data has on others.
[0029]
Further, the user information detection unit 6 detects two types of additional information about the user, that is, dynamic data and static data, and accumulates them in the user information storage unit 7. FIG. 3 is a diagram showing additional information about the user. As shown in the figure, as the dynamic data of the auxiliary information regarding the user who is currently operating, there are a tool in use, an issued command, a tool usage history, a usage database, and an access history. The static data of the user includes name, login name, organization information, department data, job title, role, work pattern, qualification, career, book, hobby, and the like. These pieces of information are not uniquely determined, but are arbitrarily defined by the user from a general viewpoint.
[0030]
The engineering tool information storage unit 8 stores information on individual engineering tools. FIG. 4 is a diagram illustrating an example of information on the engineering tool. As shown in the figure, the information on the engineering tool includes the tool name, the type of the target database, the issued command, the upstream / downstream relationship between the tools, and the like.
[0031]
The engineering information analysis unit 9 mainly provides the following four functions by extracting and analyzing information related to engineering in the distributed database / knowledge base environment described above via the network 11.
(1) In order to propagate an appropriate and flexible change in information change, the engineering database 3 is accessed as necessary.
(2) When information is changed, information for notification of change or effect prediction by change is generated and data is sent to the engineering information display unit 10.
(3) Information such as revision, data approval / responsibility, access right, etc. is used in a multidimensional manner to generate detailed security and send the data to the engineering information display unit 10.
(4) Generate information for realizing an efficient operation of data essentially including the degree of uncertainty, and send the data to the engineering information display unit 10.
[0032]
The engineering information analysis knowledge base 10 stores knowledge derived from work trends obtained from dynamic data of user information. Therefore, these can provide a function customized for each user as a result.
[0033]
Further, the engineering information display unit 11 appropriately displays data generated by the engineering information analysis unit 9 to the user.
Next, embodiments of the present invention will be described in more detail.
[0034]
The embodiment of the present invention is characterized by deriving the magnitude of the effect of a change in one database on another database, controlling the change propagation process according to the degree, and supporting flexible concurrent engineering. And
[0035]
FIG. 5 is a diagram illustrating a configuration of the engineering information analysis unit 9. In the figure, an engineering information collection unit 51 appropriately captures various information as information necessary for control, that is, database information, user information, engineering tool information, and the like as necessary. On the other hand, the engineering information collection unit 51 monitors the update of the engineering database 3. When the engineering database 3 is updated, the DB mutual influence reasoning unit 52 derives another database that needs to maintain consistency and the degree of the influence, and sends the data to the change propagation control unit 53. Is sent out. The change propagation control unit 53 controls the automatic propagation of the change and the method for approving / notifying the person in charge of data management based on the degree of influence. The engineering information analysis knowledge base 9 provides various knowledge for this processing.
[0036]
6 to 8 are diagrams illustrating an example of the engineering information analysis knowledge base 10. The engineering information analysis knowledge includes change propagation processing knowledge, notification rules, and notification processing data. FIG. 6 is a diagram illustrating an example of change propagation processing knowledge. That is, the change propagation processing knowledge describes a change propagation procedure when a database type used for engineering affects other database types. For example, the database type-B shown in the figure is “the attribute a1 and a2 of the aaa class defined by the database type-C when the value of the attribute x1 of the xxx class defined by the database type-B is changed. Represents the knowledge that the change propagation can be executed by the processes described in the processes a1 and a2.
[0037]
FIG. 7 is a diagram illustrating an example of a notification rule. That is, the notification rule describes a pattern for notifying the spread of changes for each database type. For example, the database type-A shown in the figure executes type 1, type 2, type 4, type 6 and type 7 processes as notification processes. By editing this knowledge, notification suitable for the engineering flow can be made.
[0038]
FIG. 8 is a diagram illustrating an example of notification processing data. The notification process data describes each procedure process corresponding to the notification rule shown in FIG. For example, type 1 executes processing described in a procedure called method1. In the present embodiment, method 1 “notifies a user who has accessed the specified DB”. At this time, method 1 uses information on the access history to the user database stored in the user information storage unit 6.
[0039]
In the embodiment of the present invention, the notification process data is provided independently of other knowledge, thereby enabling editing by the user. Therefore, a more flexible notification function can be realized by the user editing the notification processing data. For example, it is possible to easily notify only within a department to which a user belongs or to limit the range of tools used.
[0040]
FIG. 9 is a diagram illustrating a processing flow of the engineering information analysis unit 9. In the figure, the engineering information collection unit 51 executes S91 to S92, and when the obtained information is updated, the DB mutual influence inference unit 52 executes S93 to S95. Further, the DB mutual influence level inference unit 52 and the change propagation control unit 53 execute S96. In S 93, the “product number” information is guided from the database information storage unit 6 via the engineering information collection unit 51.
[0041]
FIG. 10 is a diagram showing details of the process of S96 shown in FIG. The DB mutual influence level inference unit 52 executes S101 to S102 using the database information, and derives a person in charge who can approve the degree of influence and change propagation.
[0042]
The change propagation control unit 53 executes S103 to S110 according to the degree of influence. In this embodiment, the degree of influence is divided into “strong” and “weak”. If the degree of influence is weak, a change spreading process is performed (S104), a user to be notified is obtained (S105), and this is indicated. The user is notified (S106). FIG. 11 is a diagram illustrating an example of a screen display in the notification of change propagation. That is, this figure shows a state in which the user is notified that the change is propagated to DB2 and DB3 with the change of DB1.
[0043]
On the other hand, if the degree of influence is strong, the update manager is notified of the occurrence of the ripple and a permission application is made (S107 in FIG. 10). When the person in charge of updating the data gives permission, the processing from S104 described above is performed. FIG. 12 is a diagram illustrating an example of a screen display when the data update manager gives permission. As shown in FIG. 6A, a list of DB names that may be affected is displayed, and it is requested to input whether or not to allow change propagation in the Y / N format. . When the person in charge of change selects “Y”, the screen display is changed to that shown in FIG.
[0044]
At this time, if the person in charge determines that the spread should not be permitted, the user to be notified is notified that the data is not consistent with each other at the present time. FIG. 13 is a diagram illustrating an example of a screen display when the data update manager does not give permission. As shown in the figure, when the application for spreading permission is rejected by the person in charge of data, the change spreading is not executed and it is notified that a contradiction has occurred. As a result, damage caused by inadvertent changes can be minimized.
[0045]
In this embodiment, the degree of influence is set to two values of “strong” and “weak”. However, the scale of the affected database, the importance and definiteness of the data, and the affected database are used as the work flow. You may make it set the evaluation function using the value calculated | required recursively along. Thereby, it becomes possible to give further flexibility.
[0046]
FIG. 14 is a diagram illustrating a flow of processing when obtaining a user to be notified. As shown in the figure, in order to obtain the user to be notified, the DB notification type is obtained from the engineering information analysis knowledge base notification rule (S141), and the processing described in the notification processing data shown in FIG. To generate a list of notification destinations (S142). Then, the union of the generated individual lists is taken to eliminate duplicate notifications. The list generated in this way is returned as a value (S143).
[0047]
When the user determines permission to execute the above-described propagation process (see FIGS. 13 and 13), the user determines the execution of the propagation process by referring to uncertain data in the database information as shown in FIG. Can provide support.
Further, as shown in FIG. 15, related uncertain data may be obtained in advance in the processing step of S107 in FIG. 10 and presented together with the application to the user.
[0048]
【Example】
FIG. 16 is a diagram showing the configuration of the engineering support system according to the embodiment of the present invention. Specifically, the present invention relates to a system according to the present invention, which is applied to an instrumentation control engineering support system for a thermal power plant.
[0049]
The engineering database 3 includes instrumentation control engineering design data 161 and common knowledge 162 for performing engineering support such as automatic data generation.
[0050]
The design data 161 includes operation end data and input / output point data, and further holds operation end history data and input / output point history data. Here, the operation end data is data relating to the type and operation of the operation end (valve, pump, etc.), which is a unit for performing instrumentation control. The input / output point data is input / output signal information (such as “˜valve opening”) necessary for performing instrumentation control. FIG. 17 is a diagram illustrating an example of operation end data. Each piece of data shown in FIG. 11A has, for example, the fields shown in FIG. FIG. 18 is a diagram illustrating an example of input / output point data. The input / output point data also has fields as shown in FIGS. Further, FIG. 19 is a diagram illustrating an example of operation end history data and input / output point history data.
[0051]
On the other hand, the common knowledge 162 is composed of CRT operation patterns that are knowledge about patterns and expanded knowledge that is knowledge of procedures.
The engineering tool 1 includes an operation end data editing tool 163 and an input / output point data editing tool 164. The operation end data editing tool 163 changes / adds / deletes the operation end data via the network 2. In addition, the input / output point data is generated from the operation end data using the common knowledge 162. In the present embodiment, this is called signal expansion processing. The input / output point editing tool 164 changes / adds / deletes the input / output point data via the network.
[0052]
The engineering information analysis unit 9 includes an influence data search unit 165, a notification destination selection unit 166, and a change notification unit 167. The influence data search unit 165 searches for data that is estimated to have an influence on a change in certain data with reference to the relation between the data stored in the database information storage unit 5. The notification destination selection unit 166 selects a user who needs to be notified of a change in design data. The change notification unit 167 notifies the user of the change.
[0053]
Next, a specific example of the database information detection unit 5 and the user information detection unit 6 illustrated in FIG. 16 will be described, and an example in which change notification and impact prediction notification are performed will be described.
[0054]
* Acquisition of engineering information
In the present embodiment, as engineering information, related information (FIG. 20) describing dependency relationships between data, information about DB (FIG. 21), user information (FIG. 22), engineering tool information (FIG. 23), and notification method are included. An engineering information analysis knowledge base (not shown), which is knowledge for selection, is used.
Hereinafter, a procedure for acquiring related information and user information, which is knowledge that is dynamically acquired while using a tool, among these knowledge, will be described.
First, related information will be described.
[0055]
FIG. 24 is a diagram showing a flow of processing for accumulating dependency relationships between data by the database information detection unit 4. As shown in the figure, the database information detection unit 4 activates a data relationship detection function (not shown) when a previously registered command is issued. In this embodiment, it is assumed that the signal development processing command of the operation end data editing tool is registered.
[0056]
Here, the signal development process will be briefly described. FIG. 25 is a diagram for explaining signal expansion processing.
As shown in the figure, the input / output point data is automatically generated from the operation end data using the common knowledge CRT operation pattern and signal development KB. Regarding the signal development knowledge, since the initial of unique NO in the operation end data is M, the procedure of “unique NO ==“ M ”” in the signal development knowledge is executed. Further, regarding the CRT operation pattern, input / output using a signal name set whose knowledge type of the CRT operation pattern is “motor valve matrix” and whose identification type is the value “29” of the attribute “CRT operation” of the operation end data. Generate point data. Further, with respect to input / output data, as many input / output data as the number of signal name sets of the CRT operation pattern are created for the original operation end data.
[0057]
Returning to FIG. 24, the database information detection unit 4 first records activation information (S241). Specifically, the tool name “operation end data editing tool” and the command name “signal development” that are the activation factors are recorded. Next, the database information detection unit 4 determines whether or not the transaction being performed in the engineering database has been completed by signal expansion (S242). If the transaction is completed, the database information detection unit 4 Exit.
[0058]
If the transaction processing has not ended, the database information detection unit 4 determines whether an event such as change / addition / deletion has occurred in the database (S243). In this embodiment, it is assumed that search and addition are performed. When an event has occurred, which attribute of which data in which database has performed what event is recorded on the database is recorded (S244). In the present embodiment, data having a unique NO of “MJ01” in the database “operation terminal 01” has been searched, the database “input / output point 01”, the unique NOs are “MJ01A001”, “MJ01A002”, “MJ01A0031”. It records that each data is added. Note that the data relationship shown in FIG. 20 may be created by the database information detection unit 4 interpreting the signal expansion function.
[0059]
Next, user information will be described.
FIG. The user information detection unit 6 is activated when the engineering database 3 is accessed. Here, it is assumed that the user “yumiko” accessed the design data “operation terminal 01” on the date “95/12/13” with the “operation terminal editing tool”.
[0060]
First, the user information detection unit 6 searches for user information related to the user based on the user name (S261). Next, the user information detection unit 6 determines whether user information already exists (S262). Here, it is assumed that information shown in FIG. 27A is retrieved as user information. If it is determined that there is no user information, new user information is created with a new user name (S263). If it is determined that the user information already exists, the user information is updated (S264). Specifically, the tool currently used and the use DB are newly added to the user information in the use tool history and the use DB history. As a result, the user information is updated as shown in FIG.
[0061]
* Change notification by analysis of engineering information
FIG. 28 is a diagram showing the flow of change notification processing when an event such as change / modification / addition occurs in design data.
Now, the user “Yumiko” uses the “operation end editing tool” on the date “95/12/13” and the CRT operation is started from “29” for the data of the unique NO “MJ01” of the design data “operation end 01”. Suppose that it is changed to “16”.
[0062]
The outline of the change notification processing flow is as follows. That is, the influence data search unit 165 searches for data that seems to have an influence (S281). Next, the notification selection unit 166 selects a notification destination user (S282), and the change notification unit 166 notifies the engineering information display unit 11 of this (S283). Then, the engineering information display unit 11 displays change information and data expected to be affected to the user (S284).
[0063]
Next, the details of each processing step will be described.
FIG. 29 is a diagram illustrating a processing procedure in the influence data search unit 165. In the figure, the influence data search unit 165 searches for an object including necessary data from the data related information (S291). In the present embodiment, an object including data whose unique number “MJ01” in the database “operation end 01” is searched. Next, when the target object can be detected by the search, related data is acquired. Specifically, for example, if the object shown in FIG. 20 is created, the data whose unique NO of “operation end 01” is “MJ01” is changed, so that the database “input / output point 01” , It is considered that the change affects data whose unique NO is “MJ01A001”, “MJ01A002”, and “MJ01A0031”.
[0064]
FIG. 30 is a diagram illustrating a flow of processing in the notification destination selection unit 166. In the figure, the notification destination selection unit 166 selects a notification processing method (S301). Specifically, the notification destination selection unit 166 searches the DB information related to the changed DB from the DB information shown in FIG. 15, and selects a notification processing method described in the engineering information analysis knowledge base. . FIG. 31 is a diagram illustrating an example of a notification processing method described in the engineering information analysis knowledge base. That is, in this embodiment, the notification destination selection unit 166 selects the method 1 because the DB type of the “operation terminal 01” is “A”. Then, the notification destination selection unit 166 executes the selected notification processing method. FIG. 32 is a diagram showing a flow of processing for executing the selected notification processing method.
[0065]
As shown in the figure, first, tool information is searched, and a tool to be notified is searched (S321). In the case of the notification processing method, the user who uses the tool and the tool in the downstream process is notified. Therefore, according to FIG. 23, the “operation end data editing tool” and the “input / output point data editing tool” are related tools. Next, with reference to the user information, a user having “operation end editing tool” and “input / output point data editing tool” as a used tool history is searched (S322). If the user information is shown in FIG. 22, the users “yumiko” and “itohs” are selected. However, the user “yumiko” is excluded because it matches the person in charge of change. When the user is searched in S322 (S323), it is searched from the use DB history of the user information whether or not the DB obtained by the influence spreading search unit is used (S324). In this embodiment, “input / output point 01” is searched from the usage DB history of the user “itohs”. If a search is made in S324, notification destination data is generated (S325, S326). In this embodiment, “itohs” is the notification destination user.
[0066]
Next, the process flow of the change notification unit 167 will be described. FIG. 33 is a diagram illustrating a processing flow of the change notification unit 167.
The change notification unit 167 obtains a difference between times when the DB is accessed (S331). Specifically, the difference between the data at the time of the last access to “input / output point 01”, which is the target DB of the user selected by the notification destination selection unit 166, and the data at the time when the change was made is expressed as Data and operation end history data are used for calculation. Next, the change notification unit 167 notifies the engineering information display unit 11 of this.
[0067]
【The invention's effect】
According to the present invention, in a situation where an atypical and backtracking process frequently occurs that cannot be handled by a process model or a global schema description, the magnitude of the influence on other work for a change in data is considered. Can support flexible concurrent engineering.
[Brief description of the drawings]
FIG. 1 is a diagram showing a configuration of a concurrent engineering support apparatus according to the present invention.
FIG. 2 is a diagram showing an example of auxiliary information regarding a database obtained via the network 2;
FIG. 3 is a diagram showing ancillary information about a user.
FIG. 4 is a diagram illustrating an example of engineering tool information.
FIG. 5 is a diagram showing a configuration of an engineering information analysis unit 9;
FIG. 6 is a diagram showing an example of change propagation processing knowledge in an engineering information analysis knowledge base.
FIG. 7 is a diagram showing an example of a notification rule in an engineering information analysis knowledge base.
FIG. 8 is a diagram showing an example of notification processing data in an engineering information analysis knowledge base.
FIG. 9 is a diagram showing a processing flow of an engineering information analysis unit 9;
FIG. 10 is a diagram showing details of processing in S96 shown in FIG.
FIG. 11 is a diagram illustrating an example of a screen display in a change spread notification.
FIG. 12 is a diagram showing an example of a screen display when a data update manager gives permission.
FIG. 13 is a diagram showing an example of a screen display when the person in charge of updating data does not give permission.
FIG. 14 is a diagram showing a flow of processing when obtaining a user to be notified.
FIG. 15 is a diagram showing an example of another screen display.
FIG. 16 is a diagram showing a configuration of an engineering support system according to an embodiment of the present invention.
FIG. 17 is a diagram illustrating an example of operation end data.
FIG. 18 is a diagram showing an example of input / output point data.
FIG. 19 is a diagram showing an example of operation end history data and input / output point history data.
FIG. 20 is a diagram showing an example of related information describing dependency relationships between data.
FIG. 21 is a diagram showing an example of information related to a DB.
FIG. 22 is a diagram showing an example of user information.
FIG. 23 is a diagram showing an example of engineering tool information.
FIG. 24 is a diagram showing a flow of processing for accumulating dependency relationships between data by the database information detection unit 4;
FIG. 25 is a diagram for explaining signal development processing;
FIG. 26 is a diagram showing a flow of processing for detecting user information by a user information detection unit 6;
FIG. 27 is a diagram for explaining a search for user information.
FIG. 28 is a diagram showing the flow of change notification processing when an event such as change / modification / addition occurs in design data.
FIG. 29 is a diagram showing a processing procedure in an influence data search unit 165.
30 is a diagram showing a flow of processing in a notification destination selection unit 166. FIG.
FIG. 31 is a diagram showing an example of a notification processing method described in an engineering information analysis knowledge base.
FIG. 32 is a diagram showing a flow of processing for executing the selected notification processing method.
FIG. 33 is a diagram showing a flow of processing of a change notification unit 167.
FIG. 34 is a configuration diagram of a conventional concurrent engineering support system.
[Explanation of symbols]
1 ... Engineering tools
2 ... Network
3. Engineering database
4 ... Database information search part
5 ... Database information storage
6 ... User information detection unit
7: User information storage unit
8 ... Engineering tool information storage
9 ... Engineering Information Analysis Department
10 ... Engineering Information Analysis Knowledge Base
11 ... Engineering information display

Claims (9)

In a concurrent engineering support system that performs engineering using engineering tools corresponding to individual engineering tasks, using a database that stores predetermined engineering information.
Tool information storage means for storing information on a database to be accessed by the engineering tool;
Database information storage means for storing information related to the database corresponding to the engineering work;
User information storage means for storing information about a user who uses the engineering tool;
When one engineering information stored in the database is changed based on at least one of the tool information, the database information, and the user information, the change in the one engineering information affects the other And a related information deriving means for deriving the engineering information. 2. The concurrent engineering support system according to claim 1, wherein the related information deriving means includes an influence degree calculating means for calculating a degree of influence of a change in one engineering information on other engineering information. 3. The concurrent engineering according to claim 1, wherein the related information deriving unit includes a notifying unit configured to notify the user related to the derived other engineering information of the other engineering information. Support system. 4. The concurrent engineering support system according to claim 3, wherein the related information deriving unit includes a user selecting unit that selects a user related to the derived other engineering information using a predetermined knowledge base. . In a concurrent engineering support system that performs engineering using engineering tools corresponding to individual engineering tasks, using a database that stores predetermined engineering information.
Tool information storage means for storing information on a database to be accessed by the engineering tool;
Database information storage means for storing information related to the database corresponding to the engineering work;
User information storage means for storing information about a user who uses the engineering tool;
Means for calculating the degree of definiteness of the data constituting the engineering information stored in the database;
Concurrent engineering comprising: uncertain information access means for accessing uncertain engineering information based on at least one of the tool information, the database information, and the user information and the degree of definiteness Support system. The concurrent engineering support system is
6. The concurrent engineering support system according to claim 1, further comprising information presenting means for presenting other engineering information derived by said related information deriving means to a user. 7. The concurrent engineering support system according to claim 1, wherein the user information includes dynamic user information composed of data obtained from a dynamic viewpoint for the user. Based on the dynamic user information, means for extracting knowledge about work trends for the target engineering work;
8. The concurrent engineering support system according to claim 7, further comprising customization means for presenting information corresponding to each user based on knowledge extracted by the means. In the concurrent engineering support method in which engineering is performed with an engineering tool corresponding to each engineering work using a database in which predetermined engineering information is accumulated.
Based on tool information related to the database to be accessed by the engineering tool, database information related to the database corresponding to the engineering work, and user information related to a user who uses the engineering tool,
A concurrent engineering support method, wherein, when one engineering information stored in the database is changed, another engineering information influenced by the change of the one engineering information is derived.

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