JP4596807B2 - Information processing system - Google Patents

Description

  The present invention relates to a design information processing system having a function to automatically collect / execute various information such as design information required in each scene of the work environment (referred to as “place” in the present invention). In addition, the present invention relates to an information processing system applicable to general business fields such as document management and patent management.

In recent years, efficient technology development has become an important issue. Quality engineering is attracting attention as a methodology for such a technical strategy, and in particular, utilization of Taguchi method (see, for example, Non-Patent Document 1) is desired. The central issue of quality engineering is to determine the S / N ratio, and the evaluation scale for improving the efficiency of technology development is the S / N ratio. Here, the S / N ratio is defined as [valid information size] / [invalid information size].
The Taguchi method has come to be used in various fields such as semiconductor manufacturing management, facility reliability design, etc. as well as fields such as electric / electronic CAD and structural CAD (for example, Patent Document 1 and Patent Document 2). Etc.) and use in fields such as development design is also desired.
In the information processing work in the conventional development design, collection of necessary design information was carried out by performing a random search of design information each time based on the experience of designers and the like.
That is, as shown in FIG. 11, the designer obtains image information such as drawings and purchase specifications by referring to the database at each work stage of the design work, searches an electronic dictionary, etc. Refer to laws, etc., acquire various information by web search, express ideas born based on such information with sound, characters, drawings, symbols, etc., form object data as intellectual products It was saved with. In addition, the generated design information is stored and managed by management numbers and names.
As described above, conventional tasks such as information collection depend on the designer's own experience and cannot share the experience of others, and approaches from a quality engineering perspective are not made. It wasn't.
JP-A-6-333791 JP 2001-125933 A Taichi Genichi, “Evaluation Technology for Optimization Design: Standardization in Quality Engineering and Development to the World”, Japan Standards Association, September 28, 2000, 1st edition, 1st edition (especially P14-18) , See P32-63 etc.)

Conventional methods of obtaining and storing design information are accumulated inside the designer himself, and the experience of others cannot be shared.
That is, the collection of design information is based on a random acquisition method such as a search, and there is a problem that it is difficult to obtain the information smoothly during a series of design operations.
For this reason, it is impossible to provide technology (engineering chain) to designers (operators) who have little or no experience with skills of experienced people, etc., resulting in duplication of work time, product quality degradation and reliability. It will bring down results.
The present invention has been made in view of the above circumstances, and can automatically collect / execute comprehensive design information necessary for creative work such as development and design, and share the know-how and skills of experienced persons. It is an object of the present invention to provide an intelligent information processing system that can avoid the duplication of work processes.

In the present invention, work such as design is divided into a plurality of time-series work stages, and a place for configuring a work environment in each work stage is set as shown in FIG. In each place, design information necessary for work in each work stage is collected.
The field can be moved forward and backward by the field shifting means. The field transfer means sets the user's field based on the user's profile, the environment, field, etc., and based on the history information and model of the locus indicating the transition state of the user or other person's field, The currently set user field is advanced to the field with the highest probability, and the result is evaluated while evaluating the result with the S / N ratio.
The user can collect the information required in each place by the information collecting means in each place, and the collected multimedia objects are related to the place and stored in the multimedia container as time series information. And stored in the work information storage means.
Individual multimedia containers are connected by links, and displayed on the display means so that the connection relationship can be easily understood.
The design information required in each place stored in the work place storage means can be used by other users, and thus, know-how and skills of experienced persons can be accumulated and inherited.

In the present invention, the following effects can be obtained.
(1) Integrated design information necessary for creative work such as development and design can be concentrated, know-how and skills such as design and quality control can be accumulated and provided to third parties, and design development Taguchi method can be realized in this field.
(2) Set a place corresponding to each work stage, associate the collected multimedia objects with the place, save them in the multimedia container as time-series information, and connect them with links so that the connection relationship can be easily understood Therefore, the system user can easily use information necessary for performance of business such as sound, still image, moving image, and document at each work stage. Also, the information collected at each venue can be stored immediately in association with the venue. Therefore, a new creation can be generated by combining these pieces of information.
(3) Since the field of interest can be advanced to the next field with the highest probability based on the history information of the trajectory indicating the state of transition of the user or other person's field or a model, the next work It is possible to predict and collect information required at the stage.
(4) An optimum result can be obtained by evaluating the S / N ratio result in each field.

FIG. 1 is a diagram showing the configuration of the system of the present invention.
In FIG. 1, reference numeral 1 denotes the field database, which is a multi-track that stores history information of a locus indicating a transition state of each field (Field) traced in the past by a user of the system and design information collected in each field. The relationship with the media container is held in association with the place.
A place (also referred to as a field) is a scene of a work environment (also a thinking environment) determined by time, process, and user profile (work content, years of experience, educational background, work history, etc.) It is associated with a multimedia container that stores design information held as media objects.
For example, in the business of product development, it can be divided into work stages such as “product planning”, “basic research”, etc. as shown in FIG. 2, and each of these stages can be defined as a place. It should be noted that these venues can be further subdivided, or a plurality of venues can be defined as a single venue, and the venues can be defined as appropriate according to the business contents and the like.
Reference numeral 2 denotes a field trajectory template database, which stores a field transition trajectory template corresponding to each job.
The field sequencer 3 generates a user field based on the user's profile, the contents of work currently performed by the user, and the like, and holds the past trajectory held in the field database 1 and the field trajectory template database 2. A trajectory (trace) of the field is generated on the basis of the trajectory of the model that has been set, and the field is moved forward and backward in accordance with a user operation or the like. At that time, probabilistic prediction is performed based on the trajectory information stored in the field database, and the field is shifted to the field with the highest probability while evaluating the result with the S / N ratio.

Necessary information (multimedia objects) such as sound, still images, moving images, documents collected in the past corresponding to each place is stored in the multimedia containers mc _{1 to} mc _n and uses this system. The results created in the process are also stored in the multimedia container mc.
The multimedia database 4 stores the multimedia container mc. When the field is set by the field sequencer 3, the multimedia container mc corresponding to each field is retrieved from the multimedia database 4 and is stored in each field. Information necessary for the design is displayed by the browser 5. The user can make a new intellectual creation based on various information displayed corresponding to each place.
In addition, the user can collect necessary information via the Internet (Extranet) using the search engine 6 or a commercially available search engine at each place. It is stored in the past search history file 7 and can be shared with other users.
Further, the access frequency of the commercial search engine 6 is also stored in the past search history file 7 and can be shared with other users.

FIG. 3 is a diagram for explaining the concept of the present invention.
When the user logs on to the system, the field sequencer 2 displays the above user profile (work contents, years of experience, academic history, work history, etc.), the traces traced in the past and the field trace template stored in the field database 1. As shown in FIG. 3, a place is generated for the work currently performed by the user based on the model etc. held in the database 2.
For example, it is assumed that the user reaches “place 1” on the locus “place 0” → “place 1” as shown in FIG.
When a place is set as described above, a multimedia container necessary for the place is retrieved from the multimedia database 4, and the multimedia object stored in the multimedia container is presented to the user via the browser 5. The If further information is required, the user can collect necessary information from another database via the Internet or the like using the search engine 5 or the like.
Among the multimedia objects collected in this way, valid multimedia objects are stored in the multimedia container and stored in the multimedia database 4 corresponding to the field. This information can also be used by other users. Based on this information, the user can make a new intellectual creation. The generated multimedia containers can be combined with each other to generate a new intelligent creation, and such an intelligent creation is also stored in the multimedia database 4.
Further, when moving to the next field and collecting design information on the field, the field sequencer 3 makes a probabilistic prediction based on the trajectory stored in the field database 1 and shifts to the field with the highest probability. .
As a result, the field moves to “field 2” as shown in FIG. 3, for example, and the field sequencer 2 predicts the multimedia container container required in the field 2, searches the multimedia database 4, and retrieves the multimedia object. Is presented to the user.

FIG. 4 is a diagram showing a display image of the field traced by the field sequencer 3 and the multimedia container mc in each field.
In FIG. 4, mc _{0 to} mc ₅ are multimedia containers displayed in association with the respective fields, and multimedia objects required in the respective fields are stored in mc _{0 to} mc ₅ .
Then, as shown in the figure, the browser 5 displays multimedia containers mc _{0 to} mc _n corresponding to the places in the places _{0 to n} . Further, each of mc _{0 to} mc ₅ is connected by a link (arrow in the figure) and displayed so that the transition process (sequence) can be easily grasped.
On the display screen, the field is shifted by dragging the field icon (for example, the field field 0 to field fieldn in the figure), and the field sequencer 3 performs prediction as described above. The mc n of the next field _n is displayed.
Also, as shown in the field fieldn in the figure, a plurality of mcs may be included in one field, and these may be linked to a plurality of other mcs.
FIG. 4 is an example of two-dimensional display, but three-dimensional display may be performed when it is difficult to grasp the relationship of mc in two-dimensional display, such as when a plurality of mcs are displayed in each field.

FIG. 5 is a diagram showing a specific example of each field.
In this example, the process at place-0 is drawing design, the process at place-1 is a drawing investigator, and the process at place-2 is approved, and the date, process, profile, partner are associated with each place. The field, the connection relationship with the multimedia container is shown.
For example, in place-0, the date is “2000.11.30”, the process is “drawing design”, the partner is “Nagano Manufacturing”, and the field of the field is “2000, 211-0101” (see FIG. 2 above). ), “Mc222, mc899” is associated with the multimedia content connection relationship.
When the field-2 in FIG. 5 is displayed and the field icon is dragged as described above, the next field is predicted. For example, the next field has a high probability of “distribution”. It will move to the place of distribution. Information necessary on this occasion is predicted, and information necessary on this occasion is predicted from the past history.

FIG. 6 is a diagram illustrating an example of probability calculation when obtaining the field precision.
(i) First, a probability determination target is selected. In this example the mc _2.
(ii) Selection was mc _2, examine past input path (path). In this case, there are _two input paths of mc ₀ → mc ₁ → mc ₂ and mc ₃ → mc ₂ .
(iii) For each input path, calculate the “accuracy rate of each field element”.
That is, with respect to the elements in each field (process, profile, partner, field of field, etc. in FIG. 5), each element of the past field path accumulated in the field database 1 (or field locus model database 2) and this time Investigate the ratio of matching elements of the target path (field match rate). Then, a route with a high probability is selected based on the field matching rate. In this example, mc ₀ → mc ₁ → mc ₂ . It is possible for the user to appropriately set up where to go back.
(iv) Next, the output path is determined. In this case, the output paths are mc ₅ , mc ₆ , and mc ₆ . For each path, the field precision is obtained as described above.
(v) The probability of one output path is calculated by the ratio of the “field matching ratio” of all output paths, and the output branch path is determined based on this probability. In this example, mc ₆ is determined.
When calculating the above-mentioned field relevance ratio, as described below, the field relevance ratio should be calculated using the “user”, “other”, “model” trajectories, etc. as past trajectories. Can do. Further, as will be described later, the user may be allowed to select which locus to use to calculate the field precision.

FIG. 7A is a diagram for explaining a case where the next place is predicted using the history of the trajectory of oneself (user himself) or another person.
In the figure, the trajectory so far is field n-1 (registration work) → field n (investigation work), and the next field n + 1, which is the future trajectory, shows the past history, the history of others, the model In order to guess the next place, for example, as shown in the figure, about the past history of others, the history of others, the transition of the model, and the above-mentioned trajectory, The above “field precision” is calculated, the probabilities that mc ₁ , mc ₂ , and mc ₃ are selected are obtained, and the one with high probability is selected. For example, in this example, the relevance ratio of the place of his / her history is the highest, and mc ₃ (approval work) is selected as a future trajectory from his / her history.
FIG. 7A shows the field n-1 (registration work) → the field n (investigation work), but if all the trajectories are the same field retroactively, the next field is also the same field. The probability that
FIG. 7B shows a case where the next place is estimated based on the user's profile and the contents of the trajectory. As shown in FIG. 7, the current future trajectory is estimated from the user's own history. You can also Also in this case, if all the traces are traced back to the past, the probability that the next spot is the same is also high.
In the above description, the case of estimating the future trajectory based on the user's history and the like has been described. However, as shown in FIG. 8, it is possible to suddenly jump to another place unconditionally depending on the setting of the user.
In FIG. 8, shows a case where fly to suddenly "release", in this case, if the multimedia object is not stored in the mc _3, mc ₃ is empty, collect the information required by the user, accumulation Will do.

9 and 10 are flowcharts showing an example of the field setting process.
When the user logs in to the system, the user's profile is input (step S1), and the user profile (name, affiliation, career, etc.), development code name, etc. ) Is generated (steps S1-S2).
Next, select the locus of the place using your own history information (self mode), select the locus using other people's history information (other person mode), or select the locus using a template. Whether to perform (model mode) or create mode is selected (step S3).
Next, the trace information (history information indicating the transition state of the field accumulated in the past) of yourself and others is read from the field database 1. Further, the trace information of the model (history information indicating the transition state of the field accumulated as a model) is read from the field locus model database 2 (steps S4 to S5).
Then, as described above for the past traces (L or more) of the user, the field precision is obtained, and the course probability is calculated. Similarly, as described above for other people's past traces (M or more), the field precision is obtained, and the course probability is calculated. Further, as described above for the model (N or more), the field relevance rate is obtained, and the course probability is calculated (steps S6 to S8).

Then, the process goes to steps S11, S14, S16, and S18 depending on whether the user mode is set, the other person mode is set, the template mode is set, or the create mode is set. Here, the create mode is a case where a new field is generated as shown in FIG.
In the case of the self mode, the precision of the field is calculated for one's own trace, and the trajectory with the highest probability in the past is selected (steps S12 and S13).
In the other person mode, the field precision is calculated for the other person's trace, and the locus of the highest probability of the other person's past is selected (steps S14 and S15).
In the case of the template mode, the field precision is calculated for the template trace, and the locus with the highest probability of the template is selected (steps S16 and S17).
Further, if the create mode is set, the process goes to step S18.
In step S18, the selected place is displayed. If the create mode is set, a new field is generated.
Next, the S / N ratio is obtained (step S19). That is, the ratio of the size of the effective information used to calculate the path probability when selecting this field and the size of the invalid information (noise) is obtained. If the noise is large, the process returns to step S3, and the mode is changed. Reselect and perform the above process. If the noise is small, the following processing is performed.

When the user performs an operation to display the next field while the field is displayed as described above, whether the mode is the self mode, the other person mode, or the template mode, as in the previous period. Is determined (steps S20 to S22), and the process proceeds to steps S23, S25, and S27 depending on the mode.
In the case of the self mode, the precision of the next field is calculated for the own trace, and the trajectory of the highest probability in the past is selected (steps S23 and S24).
In the case of the other person mode, the next field precision is calculated for the other person's trace, and the locus of the highest probability of the other person's past is selected (steps S25 and S26).
In the case of the template mode, the precision of the next field is calculated for the template trace, and the locus with the highest probability of the template is selected (steps S27 and S28).
Further, if the create mode is set, the process goes to step S29.
Next, the selected next field is displayed. If the create mode is set, a new field is generated (step S18).
Then, as described above, the S / N ratio is obtained (step S30). If the noise is large, the process returns to step S3, the mode is selected again, and the above processing is performed. If the noise is small, the process proceeds to the next process.

(Supplementary note 1) A design information processing system that divides design work into a plurality of time-series work stages, sets up a work environment in each work stage, and collects design information necessary for the work in each place Because
A trajectory showing the transition state of each place traced in the past, a database holding design information history information corresponding to each place,
Information collecting means for collecting design information necessary for the above-mentioned work in each place;
Work information storage means for storing the collected information;
Based on the history information, a field transition means for moving the field of interest forward or backward,
Evaluation value (S / N ratio) display means,
The place transfer means sets the current place of the user based on the user's usage environment, field of use, etc., and the information collection means collects information necessary for work in the set place. And an information processing system for work support characterized by being presented to the user by the display means.
(Additional remark 2) The said field transfer means is currently set from evaluation value (S / N ratio) based on the log | history information of the locus | trajectory which shows the transfer state of the said user's or another person's field stored in the said database. The information processing system according to appendix 1, wherein the user's field is moved forward or backward to a field with the highest probability.
(Supplementary note 3) The field transition means displays the trajectory and evaluation value (S / N ratio) of each field on the display means, and shifts the field displayed on the display means in accordance with a user operation. The information processing system according to appendix 2, wherein information corresponding to each place is displayed.
(Supplementary Note 4) A means for storing a template pattern indicating the transition state of the field is provided,
The field transition means sets the current setting based on the template pattern and the history information from the locus and evaluation value (S / N ratio) indicating the transition state of the user or other person's field stored in the database. The information processing system according to supplementary note 2, wherein the user's place being moved forwards or backwards.
(Additional remark 5) The said place transfer means stores the information collected in each said place as a multimedia object corresponding to each place in the said work information storage means, The additional notes 1, 2, 3 or The information processing system of appendix 4.
(Appendix 6) Design work support that divides design work into multiple time-series work stages, sets up a work environment in each work stage, and collects design information necessary for the work at each work stage. A program for
The above program uses the trajectory indicating the transition state of each place traced in the past and the history information of the design information corresponding to each place, based on the usage environment, usage field, etc. of the user. Process to set the current location of
A process of collecting design information necessary for the above work in each place;
Collecting information necessary for work in the set place and displaying the information;
A program for work support characterized by causing a computer to execute a process of moving forward or backward a field of interest based on the history information.

It is a figure which shows the whole structure of the system of the Example of this invention. It is a figure which shows the example of a setting in development design work. It is a figure explaining the concept of this invention. It is a figure which shows the display image of the multimedia container mc in each place. It is a figure which shows the specific example of a field. It is a figure explaining the example of the probability calculation at the time of setting of a field. It is a figure explaining how to guess the next field by one's own history, other people's history, templates, and the like. It is a figure explaining the case where it leaves the place which has advanced and advances to a new place. It is a flowchart (1) which shows an example of a field setting process. It is a flowchart (2) which shows an example of a field setting process. It is a figure explaining the design information processing work in the conventional development design.

Explanation of symbols

1 field database 2 field locus template database 3 field sequencer 4 multimedia container database 5 browser 6 search engine 7 past search history storage file

Claims (4)

A design information processing system that divides design work into a plurality of time-series work stages, sets up a work environment in each work stage, and collects design information necessary for the work in each place,
A trajectory indicating the transition state of each field traced in the past, a database holding history information of design information corresponding to each field, information collecting means for collecting design information necessary for the above work in each field, and the above collection Operation information storage means for storing the recorded information, field transition means for performing S / N ratio noise evaluation based on the history information, and moving the focused field forward or backward, and evaluation value (S / N ratio) Display means,
Said field transition means, usage environment where the user sets the current field of the user based on the application or the like, and each element of the path past the field stored in the database, as the current target Check the precision of the field where each element of the existing path is the same rate, find the course probability based on this precision,
The S / N ratio noise evaluation is performed by calculating the ratio of the size of the effective information used for the calculation of the course probability and the size of the invalid information (noise), and the currently set user's place is determined. Move forward or backward to the most probable field,
An information processing system for work support characterized in that the information collecting means collects information necessary for work in the set place and presents it to a user by the display means. The field transition means displays the trajectory and evaluation value (S / N ratio) of each field on the display means, and transitions the field displayed on the display means according to the user's operation. The information processing system according to claim 1 , wherein corresponding information is displayed. A means for storing a template pattern indicating the transition state of the field,
The field transition means is based on the template pattern and the history information from the locus and evaluation value (S / N ratio) indicating the transition state of the user or other person's field stored in the database. The information processing system according to claim 1, wherein a specific noise evaluation is performed, and a currently set user's field is moved forward or backward. A program for design work support that divides design work into multiple time-series work stages, sets up a work environment in each work stage, and collects design information necessary for the work at each work place. There,
The above program uses the trajectory indicating the transition state of each place traced in the past and the history information of the design information corresponding to each place, based on the usage environment, usage field, etc. of the user. Process to set the current location of
A process of collecting design information necessary for the above work in each place;
Collecting information necessary for work in the set place and displaying the information;
Based on the above history information, S / N ratio noise evaluation is performed, the current location of the user is set based on the usage environment, usage field, etc. of the user, and the past location stored in the database is stored. Investigate the precision of the field, which is the ratio of each element of the path and each element of the target path this time, and find the course probability based on this precision,
The S / N ratio noise evaluation is performed by calculating the ratio of the size of the effective information used for the calculation of the course probability and the size of the invalid information (noise), and the currently set user's place is determined. A program for supporting work, which causes a computer to execute a process of moving forward or backward to a place with the highest probability .

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